forked from D-Net/dnet-hadoop
Clean workflows
This commit is contained in:
parent
dc9c2f3272
commit
3e8d2a6b2d
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@ -1,18 +0,0 @@
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|||
<?xml version="1.0" encoding="UTF-8"?>
|
||||
<project-shared-configuration>
|
||||
<!--
|
||||
This file contains additional configuration written by modules in the NetBeans IDE.
|
||||
The configuration is intended to be shared among all the users of project and
|
||||
therefore it is assumed to be part of version control checkout.
|
||||
Without this configuration present, some functionality in the IDE may be limited or fail altogether.
|
||||
-->
|
||||
<properties xmlns="http://www.netbeans.org/ns/maven-properties-data/1">
|
||||
<!--
|
||||
Properties that influence various parts of the IDE, especially code formatting and the like.
|
||||
You can copy and paste the single properties, into the pom.xml file and the IDE will pick them up.
|
||||
That way multiple projects can share the same settings (useful for formatting rules for example).
|
||||
Any value defined here will override the pom.xml file value but is only applicable to the current project.
|
||||
-->
|
||||
<netbeans.hint.jdkPlatform>JDK_1.8</netbeans.hint.jdkPlatform>
|
||||
</properties>
|
||||
</project-shared-configuration>
|
|
@ -1,112 +0,0 @@
|
|||
<?xml version="1.0" encoding="UTF-8"?>
|
||||
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
|
||||
|
||||
|
||||
<!-- <parent>
|
||||
<artifactId>dhp-workflows</artifactId >
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||||
<groupId>eu.dnetlib.dhp</groupId>
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||||
<version>1.1.7-SNAPSHOT</version>
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||||
</parent>
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||||
<groupId>eu.dnetlib</groupId> -->
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||||
<!-- <parent>
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||||
<groupId>eu.dnetlib.dhp</groupId>
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||||
<artifactId>dhp-workflows</artifactId>
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||||
<version>1.1.7-SNAPSHOT</version>
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||||
</parent>
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||||
<modelVersion>4.0.0</modelVersion>
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<artifactId>dhp-usage-stats-update</artifactId> -->
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||||
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||||
<parent>
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||||
<artifactId>dhp-workflows</artifactId>
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||||
<groupId>eu.dnetlib.dhp</groupId>
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||||
<version>1.1.7-SNAPSHOT</version>
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||||
</parent>
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||||
<modelVersion>4.0.0</modelVersion>
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||||
<artifactId>dhp-usage-datasets-stats-update</artifactId>
|
||||
<build>
|
||||
<plugins>
|
||||
<plugin>
|
||||
<groupId>pl.project13.maven</groupId>
|
||||
<artifactId>git-commit-id-plugin</artifactId>
|
||||
<version>2.1.15</version>
|
||||
<executions>
|
||||
<execution>
|
||||
<goals>
|
||||
<goal>revision</goal>
|
||||
</goals>
|
||||
</execution>
|
||||
</executions>
|
||||
<configuration>
|
||||
<dotGitDirectory>${project.basedir}/../.git</dotGitDirectory>
|
||||
<!-- more config here as you see fit -->
|
||||
</configuration>
|
||||
</plugin>
|
||||
<plugin>
|
||||
<groupId>org.apache.maven.plugins</groupId>
|
||||
<artifactId>maven-compiler-plugin</artifactId>
|
||||
<version>3.6.1</version>
|
||||
<configuration>
|
||||
<source>1.8</source>
|
||||
<target>1.8</target>
|
||||
</configuration>
|
||||
</plugin>
|
||||
</plugins>
|
||||
</build>
|
||||
<properties>
|
||||
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
|
||||
<project.reporting.outputEncoding>UTF-8</project.reporting.outputEncoding>
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||||
<cdh.hive.version>0.13.1-cdh5.2.1</cdh.hive.version>
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<cdh.hadoop.version>2.5.0-cdh5.2.1</cdh.hadoop.version>
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</properties>
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||||
|
||||
<dependencies>
|
||||
<dependency>
|
||||
<groupId>org.apache.spark</groupId>
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||||
<artifactId>spark-core_2.11</artifactId>
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||||
<version>2.2.0</version>
|
||||
</dependency>
|
||||
<dependency>
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||||
<groupId>org.apache.spark</groupId>
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||||
<artifactId>spark-sql_2.11</artifactId>
|
||||
<version>2.4.5</version>
|
||||
</dependency>
|
||||
<dependency>
|
||||
<groupId>com.googlecode.json-simple</groupId>
|
||||
<artifactId>json-simple</artifactId>
|
||||
<version>1.1.1</version>
|
||||
</dependency>
|
||||
<dependency>
|
||||
<groupId>org.json</groupId>
|
||||
<artifactId>json</artifactId>
|
||||
<version>20180130</version>
|
||||
<type>jar</type>
|
||||
</dependency>
|
||||
<dependency>
|
||||
<groupId>org.apache.hive</groupId>
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||||
<artifactId>hive-jdbc</artifactId>
|
||||
<version>${cdh.hive.version}</version>
|
||||
</dependency>
|
||||
<dependency>
|
||||
<groupId>org.apache.hadoop</groupId>
|
||||
<artifactId>hadoop-common</artifactId>
|
||||
<version>${cdh.hadoop.version}</version>
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||||
</dependency>
|
||||
<dependency>
|
||||
<groupId>eu.dnetlib.dhp</groupId>
|
||||
<artifactId>dhp-common</artifactId>
|
||||
<version>${project.version}</version>
|
||||
</dependency>
|
||||
<dependency>
|
||||
<groupId>com.mchange</groupId>
|
||||
<artifactId>c3p0</artifactId>
|
||||
<version>0.9.5.2</version>
|
||||
</dependency>
|
||||
<dependency>
|
||||
<groupId>c3p0</groupId>
|
||||
<artifactId>c3p0</artifactId>
|
||||
<version>0.9.1.2</version>
|
||||
<type>jar</type>
|
||||
</dependency>
|
||||
</dependencies>
|
||||
<name>dhp-usage-datasets-stats-update</name>
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||||
</project>
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@ -1 +0,0 @@
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mvn clean package -Poozie-package,deploy,run -Dworkflow.source.dir=eu/dnetlib/dhp/oa/graph/datasetsusagestats
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@ -1,131 +0,0 @@
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|||
/*
|
||||
* To change this license header, choose License Headers in Project Properties.
|
||||
* To change this template file, choose Tools | Templates
|
||||
* and open the template in the editor.
|
||||
*/
|
||||
|
||||
package eu.dnetlib.oa.graph.datasetsusagestats.export;
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||||
import java.sql.Connection;
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||||
import java.sql.DriverManager;
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||||
import java.sql.SQLException;
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||||
import java.sql.Statement;
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||||
import java.util.Properties;
|
||||
|
||||
import org.apache.log4j.Logger;
|
||||
|
||||
/**
|
||||
* @author D. Pierrakos, S. Zoupanos
|
||||
*/
|
||||
/**
|
||||
* @author D. Pierrakos, S. Zoupanos
|
||||
*/
|
||||
import com.mchange.v2.c3p0.ComboPooledDataSource;
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||||
|
||||
public abstract class ConnectDB {
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||||
|
||||
public static Connection DB_HIVE_CONNECTION;
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||||
public static Connection DB_IMPALA_CONNECTION;
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||||
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||||
private static String dbHiveUrl;
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||||
private static String dbImpalaUrl;
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||||
private static String datasetUsageStatsDBSchema;
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private static String statsDBSchema;
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||||
private final static Logger logger = Logger.getLogger(ConnectDB.class);
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||||
private Statement stmt = null;
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||||
static void init() throws ClassNotFoundException {
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||||
|
||||
dbHiveUrl = ExecuteWorkflow.dbHiveUrl;
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||||
dbImpalaUrl = ExecuteWorkflow.dbImpalaUrl;
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||||
datasetUsageStatsDBSchema = ExecuteWorkflow.datasetUsageStatsDBSchema;
|
||||
statsDBSchema = ExecuteWorkflow.statsDBSchema;
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||||
|
||||
Class.forName("org.apache.hive.jdbc.HiveDriver");
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||||
}
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||||
|
||||
public static Connection getHiveConnection() throws SQLException {
|
||||
if (DB_HIVE_CONNECTION != null && !DB_HIVE_CONNECTION.isClosed()) {
|
||||
return DB_HIVE_CONNECTION;
|
||||
} else {
|
||||
DB_HIVE_CONNECTION = connectHive();
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||||
|
||||
return DB_HIVE_CONNECTION;
|
||||
}
|
||||
}
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||||
|
||||
public static Connection getImpalaConnection() throws SQLException {
|
||||
if (DB_IMPALA_CONNECTION != null && !DB_IMPALA_CONNECTION.isClosed()) {
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||||
return DB_IMPALA_CONNECTION;
|
||||
} else {
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||||
DB_IMPALA_CONNECTION = connectImpala();
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||||
|
||||
return DB_IMPALA_CONNECTION;
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||||
}
|
||||
}
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||||
|
||||
public static String getDataSetUsageStatsDBSchema() {
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||||
return ConnectDB.datasetUsageStatsDBSchema;
|
||||
}
|
||||
|
||||
public static String getStatsDBSchema() {
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||||
return ConnectDB.statsDBSchema;
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||||
}
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||||
|
||||
private static Connection connectHive() throws SQLException {
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||||
/*
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||||
* Connection connection = DriverManager.getConnection(dbHiveUrl); Statement stmt =
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||||
* connection.createStatement(); log.debug("Opened database successfully"); return connection;
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||||
*/
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||||
ComboPooledDataSource cpds = new ComboPooledDataSource();
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||||
cpds.setJdbcUrl(dbHiveUrl);
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||||
cpds.setUser("dimitris.pierrakos");
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||||
cpds.setAcquireIncrement(1);
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||||
cpds.setMaxPoolSize(100);
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||||
cpds.setMinPoolSize(1);
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||||
cpds.setInitialPoolSize(1);
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||||
cpds.setMaxIdleTime(300);
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||||
cpds.setMaxConnectionAge(36000);
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||||
|
||||
cpds.setAcquireRetryAttempts(5);
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||||
cpds.setAcquireRetryDelay(2000);
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||||
cpds.setBreakAfterAcquireFailure(false);
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||||
|
||||
cpds.setCheckoutTimeout(0);
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||||
cpds.setPreferredTestQuery("SELECT 1");
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||||
cpds.setIdleConnectionTestPeriod(60);
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||||
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||||
logger.info("Opened database successfully");
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||||
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||||
return cpds.getConnection();
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||||
|
||||
}
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||||
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||||
private static Connection connectImpala() throws SQLException {
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||||
/*
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||||
* Connection connection = DriverManager.getConnection(dbImpalaUrl); Statement stmt =
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||||
* connection.createStatement(); log.debug("Opened database successfully"); return connection;
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||||
*/
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||||
ComboPooledDataSource cpds = new ComboPooledDataSource();
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||||
cpds.setJdbcUrl(dbImpalaUrl);
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||||
cpds.setUser("dimitris.pierrakos");
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||||
cpds.setAcquireIncrement(1);
|
||||
cpds.setMaxPoolSize(100);
|
||||
cpds.setMinPoolSize(1);
|
||||
cpds.setInitialPoolSize(1);
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||||
cpds.setMaxIdleTime(300);
|
||||
cpds.setMaxConnectionAge(36000);
|
||||
|
||||
cpds.setAcquireRetryAttempts(5);
|
||||
cpds.setAcquireRetryDelay(2000);
|
||||
cpds.setBreakAfterAcquireFailure(false);
|
||||
|
||||
cpds.setCheckoutTimeout(0);
|
||||
cpds.setPreferredTestQuery("SELECT 1");
|
||||
cpds.setIdleConnectionTestPeriod(60);
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||||
|
||||
logger.info("Opened database successfully");
|
||||
return cpds.getConnection();
|
||||
|
||||
}
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||||
}
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@ -1,168 +0,0 @@
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|||
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||||
package eu.dnetlib.oa.graph.datasetsusagestats.export;
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||||
|
||||
import java.sql.Connection;
|
||||
import java.sql.SQLException;
|
||||
import java.sql.Statement;
|
||||
import java.util.*;
|
||||
|
||||
import org.slf4j.Logger;
|
||||
import org.slf4j.LoggerFactory;
|
||||
|
||||
/**
|
||||
* @author D. Pierrakos, S. Zoupanos
|
||||
*/
|
||||
public class DatasetsStatsDB {
|
||||
|
||||
private String logPath;
|
||||
private String logRepoPath;
|
||||
private String logPortalPath;
|
||||
|
||||
private Statement stmt = null;
|
||||
|
||||
private static final Logger logger = LoggerFactory.getLogger(DatasetsStatsDB.class);
|
||||
|
||||
private String CounterRobotsURL;
|
||||
private ArrayList robotsList;
|
||||
|
||||
public DatasetsStatsDB(String logRepoPath, String logPortalPath) throws Exception {
|
||||
this.logRepoPath = logRepoPath;
|
||||
this.logPortalPath = logPortalPath;
|
||||
|
||||
}
|
||||
|
||||
public void recreateDBAndTables() throws Exception {
|
||||
this.createDatabase();
|
||||
this.createTables();
|
||||
}
|
||||
|
||||
// public void reCreateLogDirs() throws IllegalArgumentException, IOException {
|
||||
// FileSystem dfs = FileSystem.get(new Configuration());
|
||||
//
|
||||
// logger.info("Deleting repoLog directory: " + ExecuteWorkflow.repoLogPath);
|
||||
// dfs.delete(new Path(ExecuteWorkflow.repoLogPath), true);
|
||||
//
|
||||
// logger.info("Deleting portalLog directory: " + ExecuteWorkflow.portalLogPath);
|
||||
// dfs.delete(new Path(ExecuteWorkflow.portalLogPath), true);
|
||||
//
|
||||
// logger.info("Creating repoLog directory: " + ExecuteWorkflow.repoLogPath);
|
||||
// dfs.mkdirs(new Path(ExecuteWorkflow.repoLogPath));
|
||||
//
|
||||
// logger.info("Creating portalLog directory: " + ExecuteWorkflow.portalLogPath);
|
||||
// dfs.mkdirs(new Path(ExecuteWorkflow.portalLogPath));
|
||||
// }
|
||||
public ArrayList getRobotsList() {
|
||||
return robotsList;
|
||||
}
|
||||
|
||||
public void setRobotsList(ArrayList robotsList) {
|
||||
this.robotsList = robotsList;
|
||||
}
|
||||
|
||||
public String getCounterRobotsURL() {
|
||||
return CounterRobotsURL;
|
||||
}
|
||||
|
||||
public void setCounterRobotsURL(String CounterRobotsURL) {
|
||||
this.CounterRobotsURL = CounterRobotsURL;
|
||||
}
|
||||
|
||||
private void createDatabase() throws Exception {
|
||||
try {
|
||||
stmt = ConnectDB.getHiveConnection().createStatement();
|
||||
|
||||
logger.info("Dropping datasets DB: " + ConnectDB.getDataSetUsageStatsDBSchema());
|
||||
String dropDatabase = "DROP DATABASE IF EXISTS " + ConnectDB.getDataSetUsageStatsDBSchema() + " CASCADE";
|
||||
stmt.executeUpdate(dropDatabase);
|
||||
} catch (Exception e) {
|
||||
logger.error("Failed to drop database: " + e);
|
||||
throw new Exception("Failed to drop database: " + e.toString(), e);
|
||||
}
|
||||
|
||||
try {
|
||||
stmt = ConnectDB.getHiveConnection().createStatement();
|
||||
|
||||
logger.info("Creating usagestats DB: " + ConnectDB.getDataSetUsageStatsDBSchema());
|
||||
String createDatabase = "CREATE DATABASE IF NOT EXISTS " + ConnectDB.getDataSetUsageStatsDBSchema();
|
||||
stmt.executeUpdate(createDatabase);
|
||||
|
||||
} catch (Exception e) {
|
||||
logger.error("Failed to create database: " + e);
|
||||
throw new Exception("Failed to create database: " + e.toString(), e);
|
||||
}
|
||||
}
|
||||
|
||||
private void createTables() throws Exception {
|
||||
try {
|
||||
stmt = ConnectDB.getHiveConnection().createStatement();
|
||||
|
||||
// Create Reports table - This table should exist
|
||||
logger.info("Creating Reports Table");
|
||||
String sqlCreateTableDataciteReports = "CREATE TABLE IF NOT EXISTS "
|
||||
+ ConnectDB.getDataSetUsageStatsDBSchema()
|
||||
+ ".datacitereports(reportid STRING, \n"
|
||||
+ " name STRING, \n"
|
||||
+ " source STRING,\n"
|
||||
+ " release STRING,\n"
|
||||
+ " createdby STRING,\n"
|
||||
+ " report_start_date STRING,\n"
|
||||
+ " report_end_date STRING)\n"
|
||||
+ " CLUSTERED BY (reportid)\n"
|
||||
+ " into 100 buckets stored as orc tblproperties('transactional'='true')";
|
||||
|
||||
stmt.executeUpdate(sqlCreateTableDataciteReports);
|
||||
logger.info("Reports Table Created");
|
||||
|
||||
// Create Datasets Table
|
||||
logger.info("Creating DataSets Table");
|
||||
String sqlCreateTableDataSets = "CREATE TABLE IF NOT EXISTS "
|
||||
+ ConnectDB.getDataSetUsageStatsDBSchema()
|
||||
+ ".datasets(ds_type STRING,\n"
|
||||
+ " ds_title STRING,\n"
|
||||
+ " yop STRING,\n"
|
||||
+ " uri STRING,\n"
|
||||
+ " platform STRING,\n"
|
||||
+ " data_type STRING,\n"
|
||||
+ " publisher STRING,\n"
|
||||
+ " publisher_id_type STRING,\n"
|
||||
+ " publisher_id_value STRING,\n"
|
||||
+ " ds_dates_type STRING,\n"
|
||||
+ " ds_pub_date STRING,\n"
|
||||
+ " ds_contributors STRING,\n"
|
||||
// + " ds_contributor_value array <STRING>,\n"
|
||||
+ " reportid STRING)\n"
|
||||
+ " CLUSTERED BY (ds_type)\n"
|
||||
+ " into 100 buckets stored as orc tblproperties('transactional'='true')";
|
||||
stmt.executeUpdate(sqlCreateTableDataSets);
|
||||
logger.info("DataSets Table Created");
|
||||
|
||||
// Create Datasets Performance Table
|
||||
logger.info("Creating DataSetsPerformance Table");
|
||||
String sqlCreateTableDataSetsPerformance = "CREATE TABLE IF NOT EXISTS "
|
||||
+ ConnectDB.getDataSetUsageStatsDBSchema()
|
||||
+ ".datasetsperformance(ds_type STRING,\n"
|
||||
+ " period_end STRING,\n"
|
||||
+ " period_from STRING,\n"
|
||||
+ " access_method STRING,\n"
|
||||
+ " metric_type STRING,\n"
|
||||
+ " count INT,\n"
|
||||
+ " country_counts STRING,\n"
|
||||
+ " reportid STRING)\n"
|
||||
+ " CLUSTERED BY (ds_type)\n"
|
||||
+ " into 100 buckets stored as orc tblproperties('transactional'='true')";
|
||||
stmt.executeUpdate(sqlCreateTableDataSetsPerformance);
|
||||
logger.info("DataSetsPerformance Table Created");
|
||||
|
||||
stmt.close();
|
||||
ConnectDB.getHiveConnection().close();
|
||||
|
||||
} catch (Exception e) {
|
||||
logger.error("Failed to create tables: " + e);
|
||||
throw new Exception("Failed to create tables: " + e.toString(), e);
|
||||
}
|
||||
}
|
||||
|
||||
private Connection getConnection() throws SQLException {
|
||||
return ConnectDB.getHiveConnection();
|
||||
}
|
||||
}
|
|
@ -1,102 +0,0 @@
|
|||
/*
|
||||
* To change this license header, choose License Headers in Project Properties.
|
||||
* To change this template file, choose Tools | Templates
|
||||
* and open the template in the editor.
|
||||
*/
|
||||
|
||||
package eu.dnetlib.oa.graph.datasetsusagestats.export;
|
||||
|
||||
import java.io.BufferedInputStream;
|
||||
import java.io.BufferedReader;
|
||||
import java.io.IOException;
|
||||
import java.io.InputStreamReader;
|
||||
import java.net.MalformedURLException;
|
||||
import java.net.URL;
|
||||
import java.util.ArrayList;
|
||||
import java.util.Iterator;
|
||||
|
||||
import org.apache.hadoop.conf.Configuration;
|
||||
import org.apache.hadoop.fs.FSDataOutputStream;
|
||||
import org.apache.hadoop.fs.FileSystem;
|
||||
import org.apache.hadoop.fs.Path;
|
||||
import org.json.simple.parser.ParseException;
|
||||
import org.slf4j.Logger;
|
||||
import org.slf4j.LoggerFactory;
|
||||
|
||||
import com.google.gson.Gson;
|
||||
import com.google.gson.JsonArray;
|
||||
import com.google.gson.JsonElement;
|
||||
import com.google.gson.JsonObject;
|
||||
|
||||
/**
|
||||
* @author dpie
|
||||
*/
|
||||
public class DownloadReportsListFromDatacite {
|
||||
|
||||
private String dataciteBaseURL;
|
||||
private String dataciteReportPath;
|
||||
private static final Logger logger = LoggerFactory.getLogger(UsageStatsExporter.class);
|
||||
|
||||
public DownloadReportsListFromDatacite(String dataciteBaseURL, String dataciteReportPath)
|
||||
throws MalformedURLException, Exception {
|
||||
|
||||
this.dataciteBaseURL = dataciteBaseURL;
|
||||
this.dataciteReportPath = dataciteReportPath;
|
||||
}
|
||||
|
||||
public void downloadReportsList() throws ParseException {
|
||||
StringBuilder responseStrBuilder = new StringBuilder();
|
||||
|
||||
Gson gson = new Gson();
|
||||
|
||||
try {
|
||||
BufferedInputStream in = new BufferedInputStream(new URL(dataciteBaseURL).openStream());
|
||||
logger.info("Downloading from " + dataciteBaseURL);
|
||||
|
||||
BufferedReader streamReader = new BufferedReader(new InputStreamReader(in, "UTF-8"));
|
||||
String inputStr;
|
||||
|
||||
while ((inputStr = streamReader.readLine()) != null) {
|
||||
responseStrBuilder.append(inputStr);
|
||||
}
|
||||
} catch (IOException e) {
|
||||
logger.info(e.getMessage());
|
||||
}
|
||||
JsonObject jsonObject = gson.fromJson(responseStrBuilder.toString(), JsonObject.class);
|
||||
JsonArray dataArray = jsonObject.getAsJsonArray("reports");
|
||||
ArrayList reportsList = new ArrayList();
|
||||
for (JsonElement element : dataArray) {
|
||||
reportsList.add(element.getAsJsonObject().get("id").getAsString());
|
||||
}
|
||||
|
||||
Iterator it = reportsList.iterator();
|
||||
while (it.hasNext()) {
|
||||
String reportId = it.next().toString();
|
||||
String url = dataciteBaseURL + reportId;
|
||||
|
||||
try {
|
||||
BufferedInputStream in = new BufferedInputStream(new URL(url).openStream());
|
||||
BufferedReader streamReader = new BufferedReader(new InputStreamReader(in, "UTF-8"));
|
||||
String inputStr;
|
||||
StringBuilder responseStrBuilder2 = new StringBuilder();
|
||||
while ((inputStr = streamReader.readLine()) != null) {
|
||||
responseStrBuilder2.append(inputStr);
|
||||
}
|
||||
FileSystem fs = FileSystem.get(new Configuration());
|
||||
FSDataOutputStream fin = fs
|
||||
.create(
|
||||
new Path(dataciteReportPath + "/" + reportId + ".json"),
|
||||
true);
|
||||
byte[] jsonObjectRawBytes = responseStrBuilder2.toString().getBytes();
|
||||
fin.write(jsonObjectRawBytes);
|
||||
fin.writeChar('\n');
|
||||
|
||||
fin.close();
|
||||
|
||||
fin.close();
|
||||
} catch (IOException e) {
|
||||
System.out.println(e);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
|
@ -1,69 +0,0 @@
|
|||
/*
|
||||
* To change this license header, choose License Headers in Project Properties.
|
||||
* To change this template file, choose Tools | Templates
|
||||
* and open the template in the editor.
|
||||
*/
|
||||
|
||||
package eu.dnetlib.oa.graph.datasetsusagestats.export;
|
||||
|
||||
import org.apache.commons.io.IOUtils;
|
||||
import org.apache.log4j.BasicConfigurator;
|
||||
|
||||
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
|
||||
|
||||
/**
|
||||
* @author D. Pierrakos, S. Zoupanos
|
||||
*/
|
||||
public class ExecuteWorkflow {
|
||||
|
||||
static String dataciteBaseURL;
|
||||
static String dataciteReportPath;
|
||||
static String dbHiveUrl;
|
||||
static String dbImpalaUrl;
|
||||
static String datasetUsageStatsDBSchema;
|
||||
static String statsDBSchema;
|
||||
static boolean recreateDbAndTables;
|
||||
static boolean datasetsEmptyDirs;
|
||||
static boolean finalTablesVisibleToImpala;
|
||||
|
||||
public static void main(String args[]) throws Exception {
|
||||
|
||||
// Sending the logs to the console
|
||||
BasicConfigurator.configure();
|
||||
|
||||
final ArgumentApplicationParser parser = new ArgumentApplicationParser(
|
||||
IOUtils
|
||||
.toString(
|
||||
UsageStatsExporter.class
|
||||
.getResourceAsStream(
|
||||
"/eu/dnetlib/dhp/oa/graph/datasetsusagestats/export/datasets_usagestats_parameters.json")));
|
||||
parser.parseArgument(args);
|
||||
|
||||
// Setting up the initial parameters
|
||||
dataciteBaseURL = parser.get("dataciteBaseURL");
|
||||
dataciteReportPath = parser.get("dataciteReportPath");
|
||||
dbHiveUrl = parser.get("dbHiveUrl");
|
||||
dbImpalaUrl = parser.get("dbImpalaUrl");
|
||||
datasetUsageStatsDBSchema = parser.get("datasetUsageStatsDBSchema");
|
||||
statsDBSchema = parser.get("statsDBSchema");
|
||||
|
||||
if (parser.get("recreateDbAndTables").toLowerCase().equals("true"))
|
||||
recreateDbAndTables = true;
|
||||
else
|
||||
recreateDbAndTables = false;
|
||||
|
||||
if (parser.get("datasetsEmptyDirs").toLowerCase().equals("true"))
|
||||
datasetsEmptyDirs = true;
|
||||
else
|
||||
datasetsEmptyDirs = false;
|
||||
|
||||
// if (parser.get("finalTablesVisibleToImpala").toLowerCase().equals("true"))
|
||||
// finalTablesVisibleToImpala = true;
|
||||
// else
|
||||
// finalTablesVisibleToImpala = false;
|
||||
//
|
||||
UsageStatsExporter usagestatsExport = new UsageStatsExporter();
|
||||
usagestatsExport.export();
|
||||
}
|
||||
|
||||
}
|
|
@ -1,408 +0,0 @@
|
|||
/*
|
||||
* To change this license header, choose License Headers in Project Properties.
|
||||
* To change this template file, choose Tools | Templates
|
||||
* and open the template in the editor.
|
||||
*/
|
||||
|
||||
package eu.dnetlib.oa.graph.datasetsusagestats.export;
|
||||
|
||||
import java.io.*;
|
||||
import java.io.ByteArrayInputStream;
|
||||
import java.io.File;
|
||||
import java.io.IOException;
|
||||
import java.io.InputStreamReader;
|
||||
import java.net.MalformedURLException;
|
||||
import java.sql.Array;
|
||||
import java.sql.PreparedStatement;
|
||||
import java.sql.ResultSet;
|
||||
import java.sql.SQLException;
|
||||
import java.sql.Statement;
|
||||
import java.util.ArrayList;
|
||||
import java.util.Base64;
|
||||
import java.util.Iterator;
|
||||
import java.util.Set;
|
||||
import java.util.zip.GZIPInputStream;
|
||||
|
||||
import org.apache.commons.io.IOUtils;
|
||||
import org.apache.hadoop.conf.Configuration;
|
||||
import org.apache.hadoop.fs.FileSystem;
|
||||
import org.apache.hadoop.fs.LocatedFileStatus;
|
||||
import org.apache.hadoop.fs.Path;
|
||||
import org.apache.hadoop.fs.RemoteIterator;
|
||||
import org.slf4j.Logger;
|
||||
import org.slf4j.LoggerFactory;
|
||||
|
||||
import com.google.gson.Gson;
|
||||
import com.google.gson.JsonArray;
|
||||
import com.google.gson.JsonElement;
|
||||
import com.google.gson.JsonObject;
|
||||
|
||||
/**
|
||||
* @author dpie
|
||||
*/
|
||||
public class ReadReportsListFromDatacite {
|
||||
|
||||
private String dataciteReportPath;
|
||||
private static final Logger logger = LoggerFactory.getLogger(UsageStatsExporter.class);
|
||||
|
||||
public ReadReportsListFromDatacite(String dataciteReportPath) throws MalformedURLException, Exception {
|
||||
|
||||
this.dataciteReportPath = dataciteReportPath;
|
||||
}
|
||||
|
||||
public void readReports() throws Exception {
|
||||
Statement stmt = ConnectDB.getHiveConnection().createStatement();
|
||||
ConnectDB.getHiveConnection().setAutoCommit(false);
|
||||
File folder = new File(dataciteReportPath);
|
||||
ArrayList<String> jsonFiles = listHdfsDir(dataciteReportPath);
|
||||
for (String jsonFile : jsonFiles) {
|
||||
logger.info("Reading report file " + jsonFile);
|
||||
this.createTmpReportsTable(jsonFile);
|
||||
|
||||
String sqlSelectReportID = "SELECT get_json_object(json, '$.report.id') FROM "
|
||||
+ ConnectDB.getDataSetUsageStatsDBSchema() + ".tmpjson";
|
||||
stmt.execute(sqlSelectReportID);
|
||||
ResultSet rstmpReportID = stmt.getResultSet();
|
||||
|
||||
String reportID = null;
|
||||
while (rstmpReportID.next()) {
|
||||
reportID = rstmpReportID.getString(1);
|
||||
}
|
||||
|
||||
logger.info("Checking report with id " + reportID);
|
||||
String sqlCheckIfReportExists = "SELECT source FROM " + ConnectDB.getDataSetUsageStatsDBSchema()
|
||||
+ ".datacitereports where reportid=?";
|
||||
PreparedStatement stGetReportID = ConnectDB.getHiveConnection().prepareStatement(sqlCheckIfReportExists);
|
||||
stGetReportID.setString(1, reportID);
|
||||
|
||||
ResultSet rsCheckIfReportExist = stGetReportID.executeQuery();
|
||||
|
||||
if (rsCheckIfReportExist.next()) {
|
||||
logger.info("Report found with ID " + reportID);
|
||||
dropTmpReportsTable();
|
||||
} else {
|
||||
String sqlInsertReport = "INSERT INTO " + ConnectDB.getDataSetUsageStatsDBSchema()
|
||||
+ " .datacitereports "
|
||||
+ "SELECT\n"
|
||||
+ " get_json_object(json, '$.report.id') AS reportid,\n"
|
||||
+ " get_json_object(json, '$.report.report-header.report-name') AS name,\n"
|
||||
+ " get_json_object(json, '$.report.report-header.report-id') AS source,\n"
|
||||
+ " get_json_object(json, '$.report.report-header.release') AS release,\n"
|
||||
+ " get_json_object(json, '$.report.report-header.created-by\') AS createdby,\n"
|
||||
+ " get_json_object(json, '$.report.report-header.reporting-period.begin-date') AS fromdate,\n"
|
||||
+ " get_json_object(json, '$.report.report-header.reporting-period.end-date') AS todate \n"
|
||||
+ "FROM " + ConnectDB.getDataSetUsageStatsDBSchema() + ".tmpjson";
|
||||
stmt.execute(sqlInsertReport);
|
||||
|
||||
logger.info("Report added");
|
||||
|
||||
logger.info("Adding datasets");
|
||||
String sqlSelecteDatasetsArray = "SELECT get_json_object(json, '$.report.report-datasets') FROM "
|
||||
+ ConnectDB.getDataSetUsageStatsDBSchema() + ".tmpjson";
|
||||
stmt.execute(sqlSelecteDatasetsArray);
|
||||
ResultSet rstmpReportDatasets = stmt.getResultSet();
|
||||
|
||||
if (rstmpReportDatasets.next() && rstmpReportDatasets.getString(1).indexOf(',') > 0) {
|
||||
String[] listDatasets = rstmpReportDatasets.getString(1).split(",");
|
||||
logger.info("Datasets found " + listDatasets.length);
|
||||
|
||||
for (int i = 0; i < listDatasets.length; i++) {
|
||||
|
||||
String sqlInsertDataSets = "INSERT INTO " + ConnectDB.getDataSetUsageStatsDBSchema()
|
||||
+ " .datasets "
|
||||
+ "SELECT\n"
|
||||
+ " get_json_object(json, '$.report.report-datasets[" + i
|
||||
+ "].dataset-id[0].value') AS ds_type,\n"
|
||||
+ " get_json_object(json, '$.report.report-datasets[" + i
|
||||
+ "].dataset-title') AS ds_title,\n"
|
||||
+ " get_json_object(json, '$.report.report-datasets[" + i + "].yop') AS yop,\n"
|
||||
+ " get_json_object(json, '$.report.report-datasets[" + i + "].uri') AS uri,\n"
|
||||
+ " get_json_object(json, '$.report.report-datasets[" + i + "].platform') AS platform,\n"
|
||||
+ " get_json_object(json, '$.report.report-datasets[" + i + "].data-type') AS data_type,\n"
|
||||
+ " get_json_object(json, '$.report.report-datasets[" + i + "].publisher') AS publisher,\n"
|
||||
+ " get_json_object(json, '$.report.report-datasets[" + i
|
||||
+ "].publisher-id.type[0]') AS publisher_id_type,\n"
|
||||
+ " get_json_object(json, '$.report.report-datasets[" + i
|
||||
+ "].publisher-id.value[0]') AS publisher_id_value,\n"
|
||||
+ " get_json_object(json, '$.report.report-datasets[" + i
|
||||
+ "].dataset-dates.type[0]') AS ds_dates_type,\n"
|
||||
+ " get_json_object(json, '$.report.report-datasets[" + i
|
||||
+ "].dataset-dates.value[0]') AS ds_dates_value,\n"
|
||||
+ " get_json_object(json, '$.report.report-datasets[" + i
|
||||
+ "].dataset-contributors') AS ds_contributors,\n"
|
||||
+ " get_json_object(json, '$.report.id') AS reportid \n"
|
||||
+ "FROM " + ConnectDB.getDataSetUsageStatsDBSchema() + ".tmpjson";
|
||||
stmt.execute(sqlInsertDataSets);
|
||||
|
||||
logger.info("Dataset added " + i);
|
||||
|
||||
logger.info("Adding Dataset Performance");
|
||||
String sqlSelecteDatasetsPerformance = "SELECT get_json_object(json, '$.report.report-datasets["
|
||||
+ i + "].performance') FROM " + ConnectDB.getDataSetUsageStatsDBSchema() + ".tmpjson";
|
||||
stmt.execute(sqlSelecteDatasetsPerformance);
|
||||
ResultSet rstmpReportDatasetsPerformance = stmt.getResultSet();
|
||||
if (rstmpReportDatasetsPerformance.next()
|
||||
&& rstmpReportDatasetsPerformance.getString(1).indexOf(',') > 0) {
|
||||
String[] listDatasetsPerformance = rstmpReportDatasetsPerformance.getString(1).split(",");
|
||||
logger.info("Datasets Performance found " + listDatasetsPerformance.length);
|
||||
for (int j = 0; j < listDatasetsPerformance.length; j++) {
|
||||
String sqlSelecteDatasetsPerformanceInstance = "SELECT get_json_object(json, '$.report.report-datasets["
|
||||
+ i + "].performance') FROM " + ConnectDB.getDataSetUsageStatsDBSchema()
|
||||
+ ".tmpjson";
|
||||
stmt.execute(sqlSelecteDatasetsPerformanceInstance);
|
||||
ResultSet rstmpReportDatasetsPerformanceInstance = stmt.getResultSet();
|
||||
if (rstmpReportDatasetsPerformanceInstance.next()
|
||||
&& rstmpReportDatasetsPerformanceInstance.getString(1).indexOf(',') > 0) {
|
||||
String[] listDatasetsPerformanceInstance = rstmpReportDatasetsPerformanceInstance
|
||||
.getString(1)
|
||||
.split(",");
|
||||
logger.info("Datasets Performance found " + listDatasetsPerformanceInstance.length);
|
||||
for (int k = 0; k < listDatasetsPerformanceInstance.length; k++) {
|
||||
String sqlInsertDataSetsPerformance = "INSERT INTO "
|
||||
+ ConnectDB.getDataSetUsageStatsDBSchema() + " .datasetsperformance "
|
||||
+ "SELECT\n"
|
||||
+ " get_json_object(json, '$.report.report-datasets[" + i
|
||||
+ "].dataset-id[0].value') AS ds_type,\n"
|
||||
+ " get_json_object(json, '$.report.report-datasets[" + i
|
||||
+ "].performance[" + j + "].period.end-date') AS period_end,\n"
|
||||
+ " get_json_object(json, '$.report.report-datasets[" + i
|
||||
+ "].performance[" + j + "].period.begin-date') AS period_from,\n"
|
||||
+ " get_json_object(json, '$.report.report-datasets[" + i
|
||||
+ "].performance[" + j + "].instance[" + k
|
||||
+ "].access-method') AS access_method,\n"
|
||||
+ " get_json_object(json, '$.report.report-datasets[" + i
|
||||
+ "].performance[" + j + "].instance[" + k
|
||||
+ "].metric-type') AS metric_type,\n"
|
||||
+ " get_json_object(json, '$.report.report-datasets[" + i
|
||||
+ "].performance[" + j + "].instance[" + k + "].count') AS count,\n"
|
||||
+ " get_json_object(json, '$.report.report-datasets[" + i
|
||||
+ "].performance[" + j + "].instance[" + k
|
||||
+ "].country-counts') AS country_counts,\n"
|
||||
+ " get_json_object(json, '$.report.id') AS reportid \n"
|
||||
+ "FROM " + ConnectDB.getDataSetUsageStatsDBSchema() + ".tmpjson";
|
||||
stmt.execute(sqlInsertDataSetsPerformance);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
logger.info("DatasetPerformance added for dataset" + i);
|
||||
}
|
||||
}
|
||||
logger.info("Adding gzip performance");
|
||||
String sqlSelecteReportSubsets = "SELECT get_json_object(json, '$.report.report-subsets.gzip[0]') FROM "
|
||||
+ ConnectDB.getDataSetUsageStatsDBSchema() + ".tmpjson";
|
||||
stmt.execute(sqlSelecteReportSubsets);
|
||||
ResultSet rstmpReportSubsets = stmt.getResultSet();
|
||||
if (rstmpReportSubsets.next()) {
|
||||
String unCompressedReport = uncompressString(rstmpReportSubsets.getString(1));
|
||||
this.readCompressedReport(unCompressedReport, reportID);
|
||||
}
|
||||
}
|
||||
}
|
||||
this.dropTmpReportsTable();
|
||||
}
|
||||
|
||||
public void readCompressedReport(String report, String reportId) throws Exception {
|
||||
Gson gson = new Gson();
|
||||
JsonObject jsonObject = gson.fromJson(report, JsonObject.class);
|
||||
|
||||
JsonArray jsonReportDatasets;
|
||||
if (jsonObject.getAsJsonArray("report_datasets") != null) {
|
||||
jsonReportDatasets = jsonObject.getAsJsonArray("report_datasets");
|
||||
} else {
|
||||
jsonReportDatasets = jsonObject.getAsJsonArray("report-datasets");
|
||||
}
|
||||
|
||||
for (JsonElement datasetElement : jsonReportDatasets) {
|
||||
// JsonElement dataset_title = datasetElement.getAsJsonObject().get("dataset-title");
|
||||
String dataset_title = datasetElement.getAsJsonObject().get("dataset-title").getAsString();
|
||||
String yop = datasetElement.getAsJsonObject().get("yop").getAsString();
|
||||
String uri = datasetElement.getAsJsonObject().get("uri").getAsString();
|
||||
String platform = datasetElement.getAsJsonObject().get("platform").getAsString();
|
||||
String data_type = datasetElement.getAsJsonObject().get("data-type").getAsString();
|
||||
String publisher = datasetElement.getAsJsonObject().get("publisher").getAsString();
|
||||
|
||||
JsonArray publisher_id = datasetElement.getAsJsonObject().getAsJsonArray("publisher-id");
|
||||
String publisher_id_type = "";
|
||||
String publisher_id_value = "";
|
||||
for (JsonElement publisher_id_Element : publisher_id) {
|
||||
publisher_id_type = publisher_id_Element.getAsJsonObject().get("type").getAsString();
|
||||
publisher_id_value = publisher_id_Element.getAsJsonObject().get("value").getAsString();
|
||||
}
|
||||
JsonArray dataset_days = datasetElement.getAsJsonObject().getAsJsonArray("dataset-dates");
|
||||
String ds_dates_type = "";
|
||||
String ds_dates_value = "";
|
||||
for (JsonElement datasetDaysElement : dataset_days) {
|
||||
ds_dates_type = datasetDaysElement.getAsJsonObject().get("type").getAsString();
|
||||
ds_dates_value = datasetDaysElement.getAsJsonObject().get("value").getAsString();
|
||||
}
|
||||
|
||||
JsonArray datasetContributors = null;
|
||||
String ds_contributor_type = "";
|
||||
String[] ds_contributor_values = null;
|
||||
Array ds_contributor_valuesArr = null;
|
||||
|
||||
if (datasetElement.getAsJsonObject().getAsJsonArray("dataset-contributors") != null) {
|
||||
datasetContributors = datasetElement.getAsJsonObject().getAsJsonArray("dataset-contributors");
|
||||
|
||||
JsonArray datasetid = datasetElement.getAsJsonObject().getAsJsonArray("dataset-id");
|
||||
String doi = "";
|
||||
for (JsonElement datasetIDElement : datasetid)
|
||||
//System.out.println(datasetIDElement.getAsJsonObject().get("value").getAsString());
|
||||
{
|
||||
doi = datasetIDElement.getAsJsonObject().get("value").getAsString();
|
||||
}
|
||||
|
||||
String sqlInsertDataset = "INSERT INTO " + ConnectDB.getDataSetUsageStatsDBSchema()
|
||||
+ " .datasets(ds_type,"
|
||||
+ "ds_title,yop,uri,platform,data_type,publisher,publisher_id_type,publisher_id_value,"
|
||||
+ "ds_dates_type, ds_dates_value, ds_contributors,reportid) VALUES(?,?,?,?,?,?,?,?,?,?,?,?,?) ";
|
||||
|
||||
PreparedStatement pstmtDataset = ConnectDB.DB_HIVE_CONNECTION.prepareStatement(sqlInsertDataset);
|
||||
|
||||
pstmtDataset.setString(1, doi);
|
||||
pstmtDataset.setString(2, dataset_title);
|
||||
pstmtDataset.setString(3, yop);
|
||||
pstmtDataset.setString(4, uri);
|
||||
pstmtDataset.setString(5, platform);
|
||||
pstmtDataset.setString(6, data_type);
|
||||
pstmtDataset.setString(7, publisher);
|
||||
pstmtDataset.setString(8, publisher_id_type);
|
||||
pstmtDataset.setString(9, publisher_id_value);
|
||||
pstmtDataset.setString(10, ds_dates_type);
|
||||
pstmtDataset.setString(11, ds_dates_value);
|
||||
pstmtDataset.setString(13, datasetContributors.getAsString());
|
||||
pstmtDataset.setString(14, reportId);
|
||||
|
||||
pstmtDataset.execute();
|
||||
logger.info("Dataset from compressed report addded " + doi);
|
||||
/*
|
||||
* JsonArray performance = datasetElement.getAsJsonObject().getAsJsonArray("performance"); for
|
||||
* (JsonElement performanceElement : performance) { JsonObject period =
|
||||
* performanceElement.getAsJsonObject().getAsJsonObject("period"); String end_date =
|
||||
* period.getAsJsonObject().get("end-date").getAsString(); String begin_date =
|
||||
* period.getAsJsonObject().get("begin-date").getAsString(); JsonArray instance =
|
||||
* performanceElement.getAsJsonObject().getAsJsonArray("instance"); for (JsonElement instanceElement :
|
||||
* instance) { int count = instanceElement.getAsJsonObject().get("count").getAsInt(); JsonObject
|
||||
* country_counts = instanceElement.getAsJsonObject().getAsJsonObject("country-counts"); Set<String>
|
||||
* keys = country_counts.keySet(); String[] country = new String[country_counts.size()]; String[]
|
||||
* country_counts_val = new String[country_counts.size()]; Iterator it2 = keys.iterator(); int j = 0;
|
||||
* while (it2.hasNext()) { country[j] = it2.next().toString(); country_counts_val[j] =
|
||||
* country_counts.get(country[j]).getAsString(); } Array countryArr = conn.createArrayOf("text",
|
||||
* country); Array countrycountsArr = conn.createArrayOf("text", country_counts_val); String metrictype
|
||||
* = instanceElement.getAsJsonObject().get("metric-type").getAsString(); String accessMethod =
|
||||
* instanceElement.getAsJsonObject().get("access-method").getAsString(); String
|
||||
* sqlInsertDatasetPerformance =
|
||||
* "INSERT INTO datasetperformance(ds_type,period_end,period_from,access_method,metric_type,count,country,country_count, reportid) VALUES(?,?,?,?,?,?,?,?,?)"
|
||||
* ; PreparedStatement pstmtDatasetPerformance = conn.prepareStatement(sqlInsertDatasetPerformance);
|
||||
* //System.out.println(begin_date + " " + end_date + " " + doi + " " + metrictype + " " + count);
|
||||
* pstmtDatasetPerformance.setString(1, doi); pstmtDatasetPerformance.setString(2, end_date);
|
||||
* pstmtDatasetPerformance.setString(3, begin_date); pstmtDatasetPerformance.setString(4, accessMethod);
|
||||
* pstmtDatasetPerformance.setString(5, metrictype); pstmtDatasetPerformance.setInt(6, count);
|
||||
* pstmtDatasetPerformance.setArray(7, countryArr); pstmtDatasetPerformance.setArray(8,
|
||||
* countrycountsArr); pstmtDatasetPerformance.setString(9, reportId); pstmtDatasetPerformance.execute();
|
||||
* } }
|
||||
*/
|
||||
}
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
private ArrayList<String> listHdfsDir(String dir) throws Exception {
|
||||
|
||||
FileSystem hdfs = FileSystem.get(new Configuration());
|
||||
RemoteIterator<LocatedFileStatus> Files;
|
||||
ArrayList<String> fileNames = new ArrayList<>();
|
||||
|
||||
try {
|
||||
Path exportPath = new Path(hdfs.getUri() + dir);
|
||||
Files = hdfs.listFiles(exportPath, false);
|
||||
while (Files.hasNext()) {
|
||||
String fileName = Files.next().getPath().toString();
|
||||
fileNames.add(fileName);
|
||||
}
|
||||
|
||||
hdfs.close();
|
||||
} catch (Exception e) {
|
||||
logger.error("HDFS file path with exported data does not exist : " + new Path(hdfs.getUri() + dir));
|
||||
throw new Exception("HDFS file path with exported data does not exist : " + dir, e);
|
||||
}
|
||||
|
||||
return fileNames;
|
||||
}
|
||||
|
||||
private String readHDFSFile(String filename) throws Exception {
|
||||
String result;
|
||||
try {
|
||||
|
||||
FileSystem fs = FileSystem.get(new Configuration());
|
||||
// log.info("reading file : " + filename);
|
||||
|
||||
BufferedReader br = new BufferedReader(new InputStreamReader(fs.open(new Path(filename))));
|
||||
|
||||
StringBuilder sb = new StringBuilder();
|
||||
String line = br.readLine();
|
||||
|
||||
while (line != null) {
|
||||
sb.append(line);
|
||||
// sb.append(line);
|
||||
line = br.readLine();
|
||||
}
|
||||
// result = sb.toString().replace("][{\"idSite\"", ",{\"idSite\"");
|
||||
result = sb.toString().trim();
|
||||
// fs.close();
|
||||
} catch (Exception e) {
|
||||
throw new Exception(e);
|
||||
}
|
||||
|
||||
return result;
|
||||
}
|
||||
|
||||
public static String uncompressString(String zippedBase64Str)
|
||||
throws IOException {
|
||||
String result = null;
|
||||
|
||||
// In my solr project, I use org.apache.solr.common.util.Base64.
|
||||
// byte[] bytes =
|
||||
// org.apache.solr.common.util.Base64.base64ToByteArray(zippedBase64Str);
|
||||
byte[] bytes = Base64.getDecoder().decode(zippedBase64Str);
|
||||
GZIPInputStream zi = null;
|
||||
try {
|
||||
zi = new GZIPInputStream(new ByteArrayInputStream(bytes));
|
||||
result = IOUtils.toString(zi);
|
||||
} finally {
|
||||
IOUtils.closeQuietly(zi);
|
||||
}
|
||||
return result;
|
||||
}
|
||||
|
||||
private void createTmpReportsTable(String jsonFile) throws SQLException {
|
||||
Statement stmt = ConnectDB.getHiveConnection().createStatement();
|
||||
dropTmpReportsTable();
|
||||
String createTmpTable = "CREATE TEMPORARY TABLE " + ConnectDB.getDataSetUsageStatsDBSchema()
|
||||
+ ".tmpjson (json STRING)";
|
||||
stmt.executeUpdate(createTmpTable);
|
||||
logger.info("Tmp Table Created");
|
||||
|
||||
String insertJsonReport = "LOAD DATA INPATH '" + jsonFile + "' INTO TABLE "
|
||||
+ ConnectDB.getDataSetUsageStatsDBSchema() + ".tmpjson";
|
||||
stmt.execute(insertJsonReport);
|
||||
logger.info("JSON Report File inserted to tmpjson Table");
|
||||
}
|
||||
|
||||
private void dropTmpReportsTable() throws SQLException {
|
||||
logger.info("Dropping tmpjson Table");
|
||||
String dropTmpTable = "DROP TABLE IF EXISTS " + ConnectDB.getDataSetUsageStatsDBSchema() + ".tmpjson";
|
||||
Statement stmt = ConnectDB.getHiveConnection().createStatement();
|
||||
stmt.executeUpdate(dropTmpTable);
|
||||
logger.info("Dropped tmpjson Table");
|
||||
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
/*
|
||||
* PreparedStatement prepStatem = conn.
|
||||
* prepareStatement("insert into usageStats (source, entityID,sourceItemType,entityType, counter,action,timestamp_month,referrer) values (?,?,?,?,?,?,?,?)"
|
||||
* );
|
||||
*/
|
|
@ -1,111 +0,0 @@
|
|||
|
||||
package eu.dnetlib.oa.graph.datasetsusagestats.export;
|
||||
|
||||
import java.io.IOException;
|
||||
import java.sql.SQLException;
|
||||
import java.sql.Statement;
|
||||
|
||||
import org.apache.hadoop.conf.Configuration;
|
||||
import org.apache.hadoop.fs.FileSystem;
|
||||
import org.apache.hadoop.fs.Path;
|
||||
import org.slf4j.Logger;
|
||||
import org.slf4j.LoggerFactory;
|
||||
|
||||
/**
|
||||
* Main class for downloading and processing Usage statistics
|
||||
*
|
||||
* @author D. Pierrakos, S. Zoupanos
|
||||
*/
|
||||
public class UsageStatsExporter {
|
||||
|
||||
private Statement stmt = null;
|
||||
|
||||
public UsageStatsExporter() {
|
||||
|
||||
}
|
||||
|
||||
private static final Logger logger = LoggerFactory.getLogger(UsageStatsExporter.class);
|
||||
|
||||
private void reCreateLogDirs() throws IllegalArgumentException, IOException {
|
||||
FileSystem dfs = FileSystem.get(new Configuration());
|
||||
|
||||
logger.info("Deleting Log directory: " + ExecuteWorkflow.dataciteReportPath);
|
||||
dfs.delete(new Path(ExecuteWorkflow.dataciteReportPath), true);
|
||||
|
||||
logger.info("Creating Log directory: " + ExecuteWorkflow.dataciteReportPath);
|
||||
dfs.mkdirs(new Path(ExecuteWorkflow.dataciteReportPath));
|
||||
|
||||
}
|
||||
|
||||
public void export() throws Exception {
|
||||
|
||||
logger.info("Initialising DB properties");
|
||||
ConnectDB.init();
|
||||
ConnectDB.getHiveConnection();
|
||||
|
||||
if (ExecuteWorkflow.recreateDbAndTables) {
|
||||
DatasetsStatsDB datasetsDB = new DatasetsStatsDB("", "");
|
||||
datasetsDB.recreateDBAndTables();
|
||||
}
|
||||
logger.info("Initializing the download logs module");
|
||||
DownloadReportsListFromDatacite drfd = new DownloadReportsListFromDatacite(ExecuteWorkflow.dataciteBaseURL,
|
||||
ExecuteWorkflow.dataciteReportPath);
|
||||
|
||||
if (ExecuteWorkflow.datasetsEmptyDirs) {
|
||||
logger.info("Downloading Reports List From Datacite");
|
||||
drfd.downloadReportsList();
|
||||
logger.info("Reports List has been downloaded");
|
||||
}
|
||||
|
||||
ReadReportsListFromDatacite readReportsListFromDatacite = new ReadReportsListFromDatacite(
|
||||
ExecuteWorkflow.dataciteReportPath);
|
||||
logger.info("Store Reports To DB");
|
||||
readReportsListFromDatacite.readReports();
|
||||
logger.info("Reports Stored To DB");
|
||||
}
|
||||
|
||||
// runImpalaQuery();
|
||||
/*
|
||||
* PiwikStatsDB piwikstatsdb = new PiwikStatsDB(ExecuteWorkflow.repoLogPath, ExecuteWorkflow.portalLogPath);
|
||||
* logger.info("Re-creating database and tables"); logger.info("Initializing the download logs module");
|
||||
* PiwikDownloadLogs piwd = new PiwikDownloadLogs(ExecuteWorkflow.matomoBaseURL, ExecuteWorkflow.matomoAuthToken);
|
||||
* if (ExecuteWorkflow.piwikEmptyDirs) { logger.info("Recreating Piwik log directories");
|
||||
* piwikstatsdb.reCreateLogDirs(); } // Downloading piwik logs (also managing directory creation) if
|
||||
* (ExecuteWorkflow.downloadPiwikLogs) { logger.info("Downloading piwik logs"); piwd .GetOpenAIRELogs(
|
||||
* ExecuteWorkflow.repoLogPath, ExecuteWorkflow.portalLogPath, ExecuteWorkflow.portalMatomoID); }
|
||||
* logger.info("Downloaded piwik logs"); // Create DB tables, insert/update statistics String cRobotsUrl =
|
||||
* "https://raw.githubusercontent.com/atmire/COUNTER-Robots/master/COUNTER_Robots_list.json";
|
||||
* piwikstatsdb.setCounterRobotsURL(cRobotsUrl); if (ExecuteWorkflow.processPiwikLogs) {
|
||||
* logger.info("Processing logs"); piwikstatsdb.processLogs(); } logger.info("Creating LaReferencia tables");
|
||||
* LaReferenciaDownloadLogs lrf = new LaReferenciaDownloadLogs(ExecuteWorkflow.lareferenciaBaseURL,
|
||||
* ExecuteWorkflow.lareferenciaAuthToken); if (ExecuteWorkflow.laReferenciaEmptyDirs) {
|
||||
* logger.info("Recreating LaReferencia log directories"); lrf.reCreateLogDirs(); } if
|
||||
* (ExecuteWorkflow.downloadLaReferenciaLogs) { logger.info("Downloading LaReferencia logs");
|
||||
* lrf.GetLaReferenciaRepos(ExecuteWorkflow.lareferenciaLogPath); logger.info("Downloaded LaReferencia logs"); }
|
||||
* LaReferenciaStats lastats = new LaReferenciaStats(ExecuteWorkflow.lareferenciaLogPath); if
|
||||
* (ExecuteWorkflow.processLaReferenciaLogs) { logger.info("Processing LaReferencia logs"); lastats.processLogs();
|
||||
* logger.info("LaReferencia logs done"); } IrusStats irusstats = new IrusStats(ExecuteWorkflow.irusUKBaseURL); if
|
||||
* (ExecuteWorkflow.irusCreateTablesEmptyDirs) { logger.info("Creating Irus Stats tables");
|
||||
* irusstats.createTables(); logger.info("Created Irus Stats tables"); logger.info("Re-create log dirs");
|
||||
* irusstats.reCreateLogDirs(); logger.info("Re-created log dirs"); } if (ExecuteWorkflow.irusDownloadReports) {
|
||||
* irusstats.getIrusRRReport(ExecuteWorkflow.irusUKReportPath); } if (ExecuteWorkflow.irusProcessStats) {
|
||||
* irusstats.processIrusStats(); logger.info("Irus done"); } SarcStats sarcStats = new SarcStats(); if
|
||||
* (ExecuteWorkflow.sarcCreateTablesEmptyDirs) { sarcStats.reCreateLogDirs(); } if
|
||||
* (ExecuteWorkflow.sarcDownloadReports) { sarcStats.getAndProcessSarc(ExecuteWorkflow.sarcsReportPathArray,
|
||||
* ExecuteWorkflow.sarcsReportPathNonArray); } if (ExecuteWorkflow.sarcProcessStats) {
|
||||
* sarcStats.processSarc(ExecuteWorkflow.sarcsReportPathArray, ExecuteWorkflow.sarcsReportPathNonArray);
|
||||
* sarcStats.finalizeSarcStats(); } logger.info("Sarc done"); // finalize usagestats if
|
||||
* (ExecuteWorkflow.finalizeStats) { piwikstatsdb.finalizeStats(); logger.info("Finalized stats"); } // Make the
|
||||
* tables available to Impala if (ExecuteWorkflow.finalTablesVisibleToImpala) {
|
||||
* logger.info("Making tables visible to Impala"); invalidateMetadata(); } logger.info("End");
|
||||
*/
|
||||
}
|
||||
/*
|
||||
* private void invalidateMetadata() throws SQLException { Statement stmt = null; stmt =
|
||||
* ConnectDB.getImpalaConnection().createStatement(); String sql = "INVALIDATE METADATA " +
|
||||
* ConnectDB.getDataSetUsageStatsDBSchema() + ".downloads_stats"; stmt.executeUpdate(sql); sql = "INVALIDATE METADATA "
|
||||
* + ConnectDB.getDataSetUsageStatsDBSchema() + ".views_stats"; stmt.executeUpdate(sql); sql = "INVALIDATE METADATA " +
|
||||
* ConnectDB.getDataSetUsageStatsDBSchema() + ".usage_stats"; stmt.executeUpdate(sql); sql = "INVALIDATE METADATA " +
|
||||
* ConnectDB.getDataSetUsageStatsDBSchema() + ".pageviews_stats"; stmt.executeUpdate(sql); stmt.close();
|
||||
* ConnectDB.getHiveConnection().close(); }
|
||||
*/
|
|
@ -1,56 +0,0 @@
|
|||
[
|
||||
{
|
||||
"paramName": "dbu",
|
||||
"paramLongName": "dataciteBaseURL",
|
||||
"paramDescription": "URL of Datacite Reports Endpoint",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "drp",
|
||||
"paramLongName": "dataciteReportPath",
|
||||
"paramDescription": "Path for Datacite Reports",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "dbhu",
|
||||
"paramLongName": "dbHiveUrl",
|
||||
"paramDescription": "activate tranform-only mode. Only apply transformation step",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "dbiu",
|
||||
"paramLongName": "dbImpalaUrl",
|
||||
"paramDescription": "activate tranform-only mode. Only apply transformation step",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "dusdbs",
|
||||
"paramLongName": "datasetUsageStatsDBSchema",
|
||||
"paramDescription": "activate tranform-only mode. Only apply transformation step",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "sdbs",
|
||||
"paramLongName": "statsDBSchema",
|
||||
"paramDescription": "activate tranform-only mode. Only apply transformation step",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "rdbt",
|
||||
"paramLongName": "recreateDbAndTables",
|
||||
"paramDescription": "Re-create database and initial tables?",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "pwed",
|
||||
"paramLongName": "datasetsEmptyDirs",
|
||||
"paramDescription": "Empty piwik directories?",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "ftvi",
|
||||
"paramLongName": "finalTablesVisibleToImpala",
|
||||
"paramDescription": "Make the dataset_usage_stats, visible to Impala",
|
||||
"paramRequired": true
|
||||
}
|
||||
]
|
|
@ -1,38 +0,0 @@
|
|||
<configuration>
|
||||
<property>
|
||||
<name>jobTracker</name>
|
||||
<value>${jobTracker}</value>
|
||||
</property>
|
||||
<property>
|
||||
<name>nameNode</name>
|
||||
<value>${nameNode}</value>
|
||||
</property>
|
||||
<property>
|
||||
<name>oozie.use.system.libpath</name>
|
||||
<value>true</value>
|
||||
</property>
|
||||
<property>
|
||||
<name>oozie.action.sharelib.for.spark</name>
|
||||
<value>spark2</value>
|
||||
</property>
|
||||
<property>
|
||||
<name>hiveMetastoreUris</name>
|
||||
<value>thrift://iis-cdh5-test-m3.ocean.icm.edu.pl:9083</value>
|
||||
</property>
|
||||
<property>
|
||||
<name>hiveJdbcUrl</name>
|
||||
<value>jdbc:hive2://iis-cdh5-test-m3.ocean.icm.edu.pl:10000/;UseNativeQuery=1</value>
|
||||
</property>
|
||||
<property>
|
||||
<name>impalaJdbcUrl</name>
|
||||
<value>jdbc:hive2://iis-cdh5-test-gw.ocean.icm.edu.pl:21050/;auth=noSasl;</value>
|
||||
</property>
|
||||
<property>
|
||||
<name>oozie.wf.workflow.notification.url</name>
|
||||
<value>{serviceUrl}/v1/oozieNotification/jobUpdate?jobId=$jobId%26status=$status</value>
|
||||
</property>
|
||||
<property>
|
||||
<name>oozie.use.system.libpath</name>
|
||||
<value>true</value>
|
||||
</property>
|
||||
</configuration>
|
|
@ -1,70 +0,0 @@
|
|||
<workflow-app name="Usage Graph Stats" xmlns="uri:oozie:workflow:0.5">
|
||||
<parameters>
|
||||
<property>
|
||||
<name>hiveMetastoreUris</name>
|
||||
<description>Hive server metastore URIs</description>
|
||||
</property>
|
||||
<property>
|
||||
<name>hiveJdbcUrl</name>
|
||||
<description>Hive server jdbc url</description>
|
||||
</property>
|
||||
<property>
|
||||
<name>impalaJdbcUrl</name>
|
||||
<description>Impala server jdbc url</description>
|
||||
</property>
|
||||
</parameters>
|
||||
|
||||
<global>
|
||||
<job-tracker>${jobTracker}</job-tracker>
|
||||
<name-node>${nameNode}</name-node>
|
||||
<configuration>
|
||||
<property>
|
||||
<name>hive.metastore.uris</name>
|
||||
<value>${hiveMetastoreUris}</value>
|
||||
</property>
|
||||
<property>
|
||||
<name>mapreduce.job.queuename</name>
|
||||
<value>${queueName}</value>
|
||||
</property>
|
||||
<property>
|
||||
<name>oozie.launcher.mapred.job.queue.name</name>
|
||||
<value>${oozieLauncherQueueName}</value>
|
||||
</property>
|
||||
</configuration>
|
||||
</global>
|
||||
|
||||
<start to="Step1"/>
|
||||
|
||||
<kill name="Kill">
|
||||
<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
|
||||
</kill>
|
||||
|
||||
<action name='Step1'>
|
||||
<java>
|
||||
<main-class>eu.dnetlib.oa.graph.datasetsusagestats.export.ExecuteWorkflow</main-class>
|
||||
<arg>--dataciteBaseURL</arg>
|
||||
<arg>${dataciteBaseURL}</arg>
|
||||
<arg>--dataciteReportPath</arg>
|
||||
<arg>${dataciteReportPath}</arg>
|
||||
<arg>--dbHiveUrl</arg>
|
||||
<arg>${hiveJdbcUrl}</arg>
|
||||
<arg>--dbImpalaUrl</arg>
|
||||
<arg>${impalaJdbcUrl}</arg>
|
||||
<arg>--datasetUsageStatsDBSchema</arg>
|
||||
<arg>${datasetUsageStatsDBSchema}</arg>
|
||||
<arg>--statsDBSchema</arg>
|
||||
<arg>${statsDBSchema}</arg>
|
||||
<arg>--recreateDbAndTables</arg>
|
||||
<arg>${recreateDbAndTables}</arg>
|
||||
<arg>--datasetsEmptyDirs</arg>
|
||||
<arg>${datasetsEmptyDirs}</arg>
|
||||
<arg>--finalTablesVisibleToImpala</arg>
|
||||
<arg>${finalTablesVisibleToImpala}</arg>
|
||||
<capture-output/>
|
||||
</java>
|
||||
<ok to="End" />
|
||||
<error to="Kill" />
|
||||
</action>
|
||||
|
||||
<end name="End"/>
|
||||
</workflow-app>
|
|
@ -1,78 +0,0 @@
|
|||
<?xml version="1.0" encoding="UTF-8"?>
|
||||
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
|
||||
|
||||
|
||||
<!-- <parent>
|
||||
<artifactId>dhp-workflows</artifactId >
|
||||
<groupId>eu.dnetlib.dhp</groupId>
|
||||
<version>1.1.7-SNAPSHOT</version>
|
||||
</parent>
|
||||
<groupId>eu.dnetlib</groupId> -->
|
||||
<!-- <parent>
|
||||
<groupId>eu.dnetlib.dhp</groupId>
|
||||
<artifactId>dhp-workflows</artifactId>
|
||||
<version>1.1.7-SNAPSHOT</version>
|
||||
</parent>
|
||||
<modelVersion>4.0.0</modelVersion>
|
||||
<artifactId>dhp-usage-stats-update</artifactId> -->
|
||||
|
||||
<parent>
|
||||
<artifactId>dhp-workflows</artifactId>
|
||||
<groupId>eu.dnetlib.dhp</groupId>
|
||||
<version>1.1.7-SNAPSHOT</version>
|
||||
</parent>
|
||||
<modelVersion>4.0.0</modelVersion>
|
||||
<artifactId>dhp-usage-stats-update</artifactId>
|
||||
|
||||
<properties>
|
||||
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
|
||||
<project.reporting.outputEncoding>UTF-8</project.reporting.outputEncoding>
|
||||
<cdh.hive.version>0.13.1-cdh5.2.1</cdh.hive.version>
|
||||
<cdh.hadoop.version>2.5.0-cdh5.2.1</cdh.hadoop.version>
|
||||
</properties>
|
||||
|
||||
<dependencies>
|
||||
<dependency>
|
||||
<groupId>org.apache.spark</groupId>
|
||||
<artifactId>spark-core_2.11</artifactId>
|
||||
<version>2.2.0</version>
|
||||
</dependency>
|
||||
<dependency>
|
||||
<groupId>org.apache.spark</groupId>
|
||||
<artifactId>spark-sql_2.11</artifactId>
|
||||
<version>2.4.5</version>
|
||||
</dependency>
|
||||
<dependency>
|
||||
<groupId>com.googlecode.json-simple</groupId>
|
||||
<artifactId>json-simple</artifactId>
|
||||
<version>1.1.1</version>
|
||||
</dependency>
|
||||
<dependency>
|
||||
<groupId>org.json</groupId>
|
||||
<artifactId>json</artifactId>
|
||||
<version>20180130</version>
|
||||
<type>jar</type>
|
||||
</dependency>
|
||||
<dependency>
|
||||
<groupId>org.apache.hive</groupId>
|
||||
<artifactId>hive-jdbc</artifactId>
|
||||
<version>${cdh.hive.version}</version>
|
||||
</dependency>
|
||||
<dependency>
|
||||
<groupId>org.apache.hadoop</groupId>
|
||||
<artifactId>hadoop-common</artifactId>
|
||||
<version>${cdh.hadoop.version}</version>
|
||||
</dependency>
|
||||
<dependency>
|
||||
<groupId>eu.dnetlib.dhp</groupId>
|
||||
<artifactId>dhp-common</artifactId>
|
||||
<version>${project.version}</version>
|
||||
</dependency>
|
||||
<dependency>
|
||||
<groupId>c3p0</groupId>
|
||||
<artifactId>c3p0</artifactId>
|
||||
<version>0.9.1.2</version>
|
||||
<type>jar</type>
|
||||
</dependency>
|
||||
</dependencies>
|
||||
</project>
|
|
@ -1,125 +0,0 @@
|
|||
/*
|
||||
* To change this license header, choose License Headers in Project Properties.
|
||||
* To change this template file, choose Tools | Templates
|
||||
* and open the template in the editor.
|
||||
*/
|
||||
|
||||
package eu.dnetlib.oa.graph.usagestats.export;
|
||||
|
||||
import java.sql.Connection;
|
||||
import java.sql.DriverManager;
|
||||
import java.sql.SQLException;
|
||||
import java.sql.Statement;
|
||||
import java.util.Properties;
|
||||
|
||||
import org.apache.log4j.Logger;
|
||||
|
||||
/**
|
||||
* @author D. Pierrakos, S. Zoupanos
|
||||
*/
|
||||
/**
|
||||
* @author D. Pierrakos, S. Zoupanos
|
||||
*/
|
||||
import com.mchange.v2.c3p0.ComboPooledDataSource;
|
||||
|
||||
public abstract class ConnectDB {
|
||||
|
||||
public static Connection DB_HIVE_CONNECTION;
|
||||
public static Connection DB_IMPALA_CONNECTION;
|
||||
|
||||
private static String dbHiveUrl;
|
||||
private static String dbImpalaUrl;
|
||||
private static String usageStatsDBSchema;
|
||||
private static String statsDBSchema;
|
||||
private final static Logger log = Logger.getLogger(ConnectDB.class);
|
||||
|
||||
static void init() throws ClassNotFoundException {
|
||||
|
||||
dbHiveUrl = ExecuteWorkflow.dbHiveUrl;
|
||||
dbImpalaUrl = ExecuteWorkflow.dbImpalaUrl;
|
||||
usageStatsDBSchema = ExecuteWorkflow.usageStatsDBSchema;
|
||||
statsDBSchema = ExecuteWorkflow.statsDBSchema;
|
||||
|
||||
Class.forName("org.apache.hive.jdbc.HiveDriver");
|
||||
}
|
||||
|
||||
public static Connection getHiveConnection() throws SQLException {
|
||||
if (DB_HIVE_CONNECTION != null && !DB_HIVE_CONNECTION.isClosed()) {
|
||||
return DB_HIVE_CONNECTION;
|
||||
} else {
|
||||
DB_HIVE_CONNECTION = connectHive();
|
||||
|
||||
return DB_HIVE_CONNECTION;
|
||||
}
|
||||
}
|
||||
|
||||
public static Connection getImpalaConnection() throws SQLException {
|
||||
if (DB_IMPALA_CONNECTION != null && !DB_IMPALA_CONNECTION.isClosed()) {
|
||||
return DB_IMPALA_CONNECTION;
|
||||
} else {
|
||||
DB_IMPALA_CONNECTION = connectImpala();
|
||||
|
||||
return DB_IMPALA_CONNECTION;
|
||||
}
|
||||
}
|
||||
|
||||
public static String getUsageStatsDBSchema() {
|
||||
return ConnectDB.usageStatsDBSchema;
|
||||
}
|
||||
|
||||
public static String getStatsDBSchema() {
|
||||
return ConnectDB.statsDBSchema;
|
||||
}
|
||||
|
||||
private static Connection connectHive() throws SQLException {
|
||||
/*
|
||||
* Connection connection = DriverManager.getConnection(dbHiveUrl); Statement stmt =
|
||||
* connection.createStatement(); log.debug("Opened database successfully"); return connection;
|
||||
*/
|
||||
ComboPooledDataSource cpds = new ComboPooledDataSource();
|
||||
cpds.setJdbcUrl(dbHiveUrl);
|
||||
cpds.setAcquireIncrement(1);
|
||||
cpds.setMaxPoolSize(100);
|
||||
cpds.setMinPoolSize(1);
|
||||
cpds.setInitialPoolSize(1);
|
||||
cpds.setMaxIdleTime(300);
|
||||
cpds.setMaxConnectionAge(36000);
|
||||
|
||||
cpds.setAcquireRetryAttempts(5);
|
||||
cpds.setAcquireRetryDelay(2000);
|
||||
cpds.setBreakAfterAcquireFailure(false);
|
||||
|
||||
cpds.setCheckoutTimeout(0);
|
||||
cpds.setPreferredTestQuery("SELECT 1");
|
||||
cpds.setIdleConnectionTestPeriod(60);
|
||||
return cpds.getConnection();
|
||||
|
||||
}
|
||||
|
||||
private static Connection connectImpala() throws SQLException {
|
||||
/*
|
||||
* Connection connection = DriverManager.getConnection(dbImpalaUrl); Statement stmt =
|
||||
* connection.createStatement(); log.debug("Opened database successfully"); return connection;
|
||||
*/
|
||||
ComboPooledDataSource cpds = new ComboPooledDataSource();
|
||||
cpds.setJdbcUrl(dbImpalaUrl);
|
||||
cpds.setAcquireIncrement(1);
|
||||
cpds.setMaxPoolSize(100);
|
||||
cpds.setMinPoolSize(1);
|
||||
cpds.setInitialPoolSize(1);
|
||||
cpds.setMaxIdleTime(300);
|
||||
cpds.setMaxConnectionAge(36000);
|
||||
|
||||
cpds.setAcquireRetryAttempts(5);
|
||||
cpds.setAcquireRetryDelay(2000);
|
||||
cpds.setBreakAfterAcquireFailure(false);
|
||||
|
||||
cpds.setCheckoutTimeout(0);
|
||||
cpds.setPreferredTestQuery("SELECT 1");
|
||||
cpds.setIdleConnectionTestPeriod(60);
|
||||
|
||||
return cpds.getConnection();
|
||||
|
||||
}
|
||||
|
||||
}
|
|
@ -1,197 +0,0 @@
|
|||
/*
|
||||
* To change this license header, choose License Headers in Project Properties.
|
||||
* To change this template file, choose Tools | Templates
|
||||
* and open the template in the editor.
|
||||
*/
|
||||
|
||||
package eu.dnetlib.oa.graph.usagestats.export;
|
||||
|
||||
import java.text.SimpleDateFormat;
|
||||
import java.util.Calendar;
|
||||
import java.util.Date;
|
||||
|
||||
import org.apache.commons.io.IOUtils;
|
||||
import org.apache.log4j.BasicConfigurator;
|
||||
|
||||
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
|
||||
|
||||
/**
|
||||
* @author D. Pierrakos, S. Zoupanos
|
||||
*/
|
||||
public class ExecuteWorkflow {
|
||||
|
||||
static String matomoAuthToken;
|
||||
static String matomoBaseURL;
|
||||
static String repoLogPath;
|
||||
static String portalLogPath;
|
||||
static String portalMatomoID;
|
||||
static String irusUKBaseURL;
|
||||
static String irusUKReportPath;
|
||||
static String sarcsReportPathArray;
|
||||
static String sarcsReportPathNonArray;
|
||||
static String lareferenciaLogPath;
|
||||
static String lareferenciaBaseURL;
|
||||
static String lareferenciaAuthToken;
|
||||
static String dbHiveUrl;
|
||||
static String dbImpalaUrl;
|
||||
static String usageStatsDBSchema;
|
||||
static String statsDBSchema;
|
||||
static boolean recreateDbAndTables;
|
||||
|
||||
static boolean piwikEmptyDirs;
|
||||
static boolean downloadPiwikLogs;
|
||||
static boolean processPiwikLogs;
|
||||
|
||||
static Calendar startingLogPeriod;
|
||||
static Calendar endingLogPeriod;
|
||||
static int numberOfPiwikIdsToDownload;
|
||||
static int numberOfSiteIdsToDownload;
|
||||
|
||||
static boolean laReferenciaEmptyDirs;
|
||||
static boolean downloadLaReferenciaLogs;
|
||||
static boolean processLaReferenciaLogs;
|
||||
|
||||
static boolean irusCreateTablesEmptyDirs;
|
||||
static boolean irusDownloadReports;
|
||||
static boolean irusProcessStats;
|
||||
static int irusNumberOfOpendoarsToDownload;
|
||||
|
||||
static boolean sarcCreateTablesEmptyDirs;
|
||||
static boolean sarcDownloadReports;
|
||||
static boolean sarcProcessStats;
|
||||
static int sarcNumberOfIssnToDownload;
|
||||
|
||||
static boolean finalizeStats;
|
||||
static boolean finalTablesVisibleToImpala;
|
||||
|
||||
static int numberOfDownloadThreads;
|
||||
|
||||
public static void main(String args[]) throws Exception {
|
||||
|
||||
// Sending the logs to the console
|
||||
BasicConfigurator.configure();
|
||||
|
||||
final ArgumentApplicationParser parser = new ArgumentApplicationParser(
|
||||
IOUtils
|
||||
.toString(
|
||||
UsageStatsExporter.class
|
||||
.getResourceAsStream(
|
||||
"/eu/dnetlib/dhp/oa/graph/usagestats/export/usagestats_parameters.json")));
|
||||
parser.parseArgument(args);
|
||||
|
||||
// Setting up the initial parameters
|
||||
matomoAuthToken = parser.get("matomoAuthToken");
|
||||
matomoBaseURL = parser.get("matomoBaseURL");
|
||||
repoLogPath = parser.get("repoLogPath");
|
||||
portalLogPath = parser.get("portalLogPath");
|
||||
portalMatomoID = parser.get("portalMatomoID");
|
||||
irusUKBaseURL = parser.get("irusUKBaseURL");
|
||||
irusUKReportPath = parser.get("irusUKReportPath");
|
||||
sarcsReportPathArray = parser.get("sarcsReportPathArray");
|
||||
sarcsReportPathNonArray = parser.get("sarcsReportPathNonArray");
|
||||
lareferenciaLogPath = parser.get("lareferenciaLogPath");
|
||||
lareferenciaBaseURL = parser.get("lareferenciaBaseURL");
|
||||
lareferenciaAuthToken = parser.get("lareferenciaAuthToken");
|
||||
|
||||
dbHiveUrl = parser.get("dbHiveUrl");
|
||||
dbImpalaUrl = parser.get("dbImpalaUrl");
|
||||
usageStatsDBSchema = parser.get("usageStatsDBSchema");
|
||||
statsDBSchema = parser.get("statsDBSchema");
|
||||
|
||||
if (parser.get("recreateDbAndTables").toLowerCase().equals("true"))
|
||||
recreateDbAndTables = true;
|
||||
else
|
||||
recreateDbAndTables = false;
|
||||
|
||||
if (parser.get("piwikEmptyDirs").toLowerCase().equals("true"))
|
||||
piwikEmptyDirs = true;
|
||||
else
|
||||
piwikEmptyDirs = false;
|
||||
|
||||
if (parser.get("downloadPiwikLogs").toLowerCase().equals("true"))
|
||||
downloadPiwikLogs = true;
|
||||
else
|
||||
downloadPiwikLogs = false;
|
||||
|
||||
if (parser.get("processPiwikLogs").toLowerCase().equals("true"))
|
||||
processPiwikLogs = true;
|
||||
else
|
||||
processPiwikLogs = false;
|
||||
|
||||
String startingLogPeriodStr = parser.get("startingLogPeriod");
|
||||
Date startingLogPeriodDate = new SimpleDateFormat("MM/yyyy").parse(startingLogPeriodStr);
|
||||
startingLogPeriod = startingLogPeriodStr(startingLogPeriodDate);
|
||||
|
||||
String endingLogPeriodStr = parser.get("endingLogPeriod");
|
||||
Date endingLogPeriodDate = new SimpleDateFormat("MM/yyyy").parse(endingLogPeriodStr);
|
||||
endingLogPeriod = startingLogPeriodStr(endingLogPeriodDate);
|
||||
|
||||
numberOfPiwikIdsToDownload = Integer.parseInt(parser.get("numberOfPiwikIdsToDownload"));
|
||||
numberOfSiteIdsToDownload = Integer.parseInt(parser.get("numberOfSiteIdsToDownload"));
|
||||
|
||||
if (parser.get("laReferenciaEmptyDirs").toLowerCase().equals("true"))
|
||||
laReferenciaEmptyDirs = true;
|
||||
else
|
||||
laReferenciaEmptyDirs = false;
|
||||
|
||||
if (parser.get("downloadLaReferenciaLogs").toLowerCase().equals("true"))
|
||||
downloadLaReferenciaLogs = true;
|
||||
else
|
||||
downloadLaReferenciaLogs = false;
|
||||
|
||||
if (parser.get("processLaReferenciaLogs").toLowerCase().equals("true"))
|
||||
processLaReferenciaLogs = true;
|
||||
else
|
||||
processLaReferenciaLogs = false;
|
||||
|
||||
if (parser.get("irusCreateTablesEmptyDirs").toLowerCase().equals("true"))
|
||||
irusCreateTablesEmptyDirs = true;
|
||||
else
|
||||
irusCreateTablesEmptyDirs = false;
|
||||
if (parser.get("irusDownloadReports").toLowerCase().equals("true"))
|
||||
irusDownloadReports = true;
|
||||
else
|
||||
irusDownloadReports = false;
|
||||
if (parser.get("irusProcessStats").toLowerCase().equals("true"))
|
||||
irusProcessStats = true;
|
||||
else
|
||||
irusProcessStats = false;
|
||||
irusNumberOfOpendoarsToDownload = Integer.parseInt(parser.get("irusNumberOfOpendoarsToDownload"));
|
||||
|
||||
if (parser.get("sarcCreateTablesEmptyDirs").toLowerCase().equals("true"))
|
||||
sarcCreateTablesEmptyDirs = true;
|
||||
else
|
||||
sarcCreateTablesEmptyDirs = false;
|
||||
if (parser.get("sarcDownloadReports").toLowerCase().equals("true"))
|
||||
sarcDownloadReports = true;
|
||||
else
|
||||
sarcDownloadReports = false;
|
||||
if (parser.get("sarcProcessStats").toLowerCase().equals("true"))
|
||||
sarcProcessStats = true;
|
||||
else
|
||||
sarcProcessStats = false;
|
||||
sarcNumberOfIssnToDownload = Integer.parseInt(parser.get("sarcNumberOfIssnToDownload"));
|
||||
|
||||
if (parser.get("finalizeStats").toLowerCase().equals("true"))
|
||||
finalizeStats = true;
|
||||
else
|
||||
finalizeStats = false;
|
||||
if (parser.get("finalTablesVisibleToImpala").toLowerCase().equals("true"))
|
||||
finalTablesVisibleToImpala = true;
|
||||
else
|
||||
finalTablesVisibleToImpala = false;
|
||||
|
||||
numberOfDownloadThreads = Integer.parseInt(parser.get("numberOfDownloadThreads"));
|
||||
|
||||
UsageStatsExporter usagestatsExport = new UsageStatsExporter();
|
||||
usagestatsExport.export();
|
||||
}
|
||||
|
||||
private static Calendar startingLogPeriodStr(Date date) {
|
||||
|
||||
Calendar calendar = Calendar.getInstance();
|
||||
calendar.setTime(date);
|
||||
return calendar;
|
||||
|
||||
}
|
||||
}
|
|
@ -1,419 +0,0 @@
|
|||
package eu.dnetlib.oa.graph.usagestats.export;
|
||||
|
||||
import java.io.*;
|
||||
import java.net.URL;
|
||||
import java.net.URLConnection;
|
||||
import java.sql.PreparedStatement;
|
||||
import java.sql.ResultSet;
|
||||
import java.sql.Statement;
|
||||
import java.text.SimpleDateFormat;
|
||||
import java.util.ArrayList;
|
||||
import java.util.Calendar;
|
||||
import java.util.Date;
|
||||
import java.util.List;
|
||||
|
||||
import org.apache.hadoop.conf.Configuration;
|
||||
import org.apache.hadoop.fs.FSDataOutputStream;
|
||||
import org.apache.hadoop.fs.FileSystem;
|
||||
import org.apache.hadoop.fs.Path;
|
||||
import org.json.simple.JSONArray;
|
||||
import org.json.simple.JSONObject;
|
||||
import org.json.simple.parser.JSONParser;
|
||||
import org.slf4j.Logger;
|
||||
import org.slf4j.LoggerFactory;
|
||||
|
||||
/**
|
||||
* @author D. Pierrakos, S. Zoupanos
|
||||
*/
|
||||
public class IrusStats {
|
||||
|
||||
private String irusUKURL;
|
||||
|
||||
private static final Logger logger = LoggerFactory.getLogger(IrusStats.class);
|
||||
|
||||
public IrusStats(String irusUKURL) throws Exception {
|
||||
this.irusUKURL = irusUKURL;
|
||||
// The following may not be needed - It will be created when JSON tables are created
|
||||
// createTmpTables();
|
||||
}
|
||||
|
||||
public void reCreateLogDirs() throws Exception {
|
||||
FileSystem dfs = FileSystem.get(new Configuration());
|
||||
|
||||
logger.info("Deleting irusUKReport directory: " + ExecuteWorkflow.irusUKReportPath);
|
||||
dfs.delete(new Path(ExecuteWorkflow.irusUKReportPath), true);
|
||||
|
||||
logger.info("Creating irusUKReport directory: " + ExecuteWorkflow.irusUKReportPath);
|
||||
dfs.mkdirs(new Path(ExecuteWorkflow.irusUKReportPath));
|
||||
}
|
||||
|
||||
public void createTables() throws Exception {
|
||||
try {
|
||||
logger.info("Creating sushilog");
|
||||
Statement stmt = ConnectDB.getHiveConnection().createStatement();
|
||||
String sqlCreateTableSushiLog = "CREATE TABLE IF NOT EXISTS " + ConnectDB.getUsageStatsDBSchema()
|
||||
+ ".sushilog(source STRING, "
|
||||
+ "repository STRING, rid STRING, date STRING, metric_type STRING, count INT) clustered by (source, "
|
||||
+ "repository, rid, date, metric_type) into 100 buckets stored as orc tblproperties('transactional'='true')";
|
||||
stmt.executeUpdate(sqlCreateTableSushiLog);
|
||||
logger.info("Created sushilog");
|
||||
|
||||
// To see how to apply to the ignore duplicate rules and indexes
|
||||
// stmt.executeUpdate(sqlCreateTableSushiLog);
|
||||
// String sqlcreateRuleSushiLog = "CREATE OR REPLACE RULE ignore_duplicate_inserts AS "
|
||||
// + " ON INSERT TO sushilog "
|
||||
// + " WHERE (EXISTS ( SELECT sushilog.source, sushilog.repository,"
|
||||
// + "sushilog.rid, sushilog.date "
|
||||
// + "FROM sushilog "
|
||||
// + "WHERE sushilog.source = new.source AND sushilog.repository = new.repository AND sushilog.rid = new.rid AND sushilog.date = new.date AND sushilog.metric_type = new.metric_type)) DO INSTEAD NOTHING;";
|
||||
// stmt.executeUpdate(sqlcreateRuleSushiLog);
|
||||
// String createSushiIndex = "create index if not exists sushilog_duplicates on sushilog(source, repository, rid, date, metric_type);";
|
||||
// stmt.executeUpdate(createSushiIndex);
|
||||
stmt.close();
|
||||
ConnectDB.getHiveConnection().close();
|
||||
logger.info("Sushi Tables Created");
|
||||
} catch (Exception e) {
|
||||
logger.error("Failed to create tables: " + e);
|
||||
throw new Exception("Failed to create tables: " + e.toString(), e);
|
||||
}
|
||||
}
|
||||
|
||||
// // The following may not be needed - It will be created when JSON tables are created
|
||||
// private void createTmpTables() throws Exception {
|
||||
// try {
|
||||
//
|
||||
// Statement stmt = ConnectDB.getConnection().createStatement();
|
||||
// String sqlCreateTableSushiLog = "CREATE TABLE IF NOT EXISTS sushilogtmp(source TEXT, repository TEXT, rid TEXT, date TEXT, metric_type TEXT, count INT, PRIMARY KEY(source, repository, rid, date, metric_type));";
|
||||
// stmt.executeUpdate(sqlCreateTableSushiLog);
|
||||
//
|
||||
// // stmt.executeUpdate("CREATE TABLE IF NOT EXISTS public.sushilog AS TABLE sushilog;");
|
||||
// // String sqlCopyPublicSushiLog = "INSERT INTO sushilog SELECT * FROM public.sushilog;";
|
||||
// // stmt.executeUpdate(sqlCopyPublicSushiLog);
|
||||
// String sqlcreateRuleSushiLog = "CREATE OR REPLACE RULE ignore_duplicate_inserts AS "
|
||||
// + " ON INSERT TO sushilogtmp "
|
||||
// + " WHERE (EXISTS ( SELECT sushilogtmp.source, sushilogtmp.repository,"
|
||||
// + "sushilogtmp.rid, sushilogtmp.date "
|
||||
// + "FROM sushilogtmp "
|
||||
// + "WHERE sushilogtmp.source = new.source AND sushilogtmp.repository = new.repository AND sushilogtmp.rid = new.rid AND sushilogtmp.date = new.date AND sushilogtmp.metric_type = new.metric_type)) DO INSTEAD NOTHING;";
|
||||
// stmt.executeUpdate(sqlcreateRuleSushiLog);
|
||||
//
|
||||
// stmt.close();
|
||||
// ConnectDB.getConnection().close();
|
||||
// log.info("Sushi Tmp Tables Created");
|
||||
// } catch (Exception e) {
|
||||
// log.error("Failed to create tables: " + e);
|
||||
// throw new Exception("Failed to create tables: " + e.toString(), e);
|
||||
// }
|
||||
// }
|
||||
public void processIrusStats() throws Exception {
|
||||
Statement stmt = ConnectDB.getHiveConnection().createStatement();
|
||||
ConnectDB.getHiveConnection().setAutoCommit(false);
|
||||
|
||||
logger.info("Adding JSON Serde jar");
|
||||
stmt.executeUpdate("add jar /usr/share/cmf/common_jars/hive-hcatalog-core-1.1.0-cdh5.14.0.jar");
|
||||
logger.info("Added JSON Serde jar");
|
||||
|
||||
logger.info("Dropping sushilogtmp_json table");
|
||||
String dropSushilogtmpJson = "DROP TABLE IF EXISTS "
|
||||
+ ConnectDB.getUsageStatsDBSchema()
|
||||
+ ".sushilogtmp_json";
|
||||
stmt.executeUpdate(dropSushilogtmpJson);
|
||||
logger.info("Dropped sushilogtmp_json table");
|
||||
|
||||
logger.info("Creating irus_sushilogtmp_json table");
|
||||
String createSushilogtmpJson = "CREATE EXTERNAL TABLE IF NOT EXISTS "
|
||||
+ ConnectDB.getUsageStatsDBSchema() + ".irus_sushilogtmp_json(\n"
|
||||
+ " `ItemIdentifier` ARRAY<\n"
|
||||
+ " struct<\n"
|
||||
+ " Type: STRING,\n"
|
||||
+ " Value: STRING\n"
|
||||
+ " >\n"
|
||||
+ " >,\n"
|
||||
+ " `ItemPerformance` ARRAY<\n"
|
||||
+ " struct<\n"
|
||||
+ " `Period`: struct<\n"
|
||||
+ " `Begin`: STRING,\n"
|
||||
+ " `End`: STRING\n"
|
||||
+ " >,\n"
|
||||
+ " `Instance`: struct<\n"
|
||||
+ " `Count`: STRING,\n"
|
||||
+ " `MetricType`: STRING\n"
|
||||
+ " >\n"
|
||||
+ " >\n"
|
||||
+ " >\n"
|
||||
+ ")\n"
|
||||
+ "ROW FORMAT SERDE 'org.apache.hive.hcatalog.data.JsonSerDe'\n"
|
||||
+ "LOCATION '" + ExecuteWorkflow.irusUKReportPath + "'\n"
|
||||
+ "TBLPROPERTIES (\"transactional\"=\"false\")";
|
||||
stmt.executeUpdate(createSushilogtmpJson);
|
||||
logger.info("Created irus_sushilogtmp_json table");
|
||||
|
||||
logger.info("Dropping irus_sushilogtmp table");
|
||||
String dropSushilogtmp = "DROP TABLE IF EXISTS "
|
||||
+ ConnectDB.getUsageStatsDBSchema()
|
||||
+ ".irus_sushilogtmp";
|
||||
stmt.executeUpdate(dropSushilogtmp);
|
||||
logger.info("Dropped irus_sushilogtmp table");
|
||||
|
||||
logger.info("Creating irus_sushilogtmp table");
|
||||
String createSushilogtmp = "CREATE TABLE " + ConnectDB.getUsageStatsDBSchema()
|
||||
+ ".irus_sushilogtmp(source STRING, repository STRING, "
|
||||
+ "rid STRING, date STRING, metric_type STRING, count INT) clustered by (source) into 100 buckets stored as orc "
|
||||
+ "tblproperties('transactional'='true')";
|
||||
stmt.executeUpdate(createSushilogtmp);
|
||||
logger.info("Created irus_sushilogtmp table");
|
||||
|
||||
logger.info("Inserting to irus_sushilogtmp table");
|
||||
String insertSushilogtmp = "INSERT INTO " + ConnectDB.getUsageStatsDBSchema() + ".irus_sushilogtmp "
|
||||
+ "SELECT 'IRUS-UK', CONCAT('opendoar____::', split(split(INPUT__FILE__NAME,'IrusIRReport_')[1],'_')[0]), "
|
||||
+ "`ItemIdent`.`Value`, `ItemPerf`.`Period`.`Begin`, "
|
||||
+ "`ItemPerf`.`Instance`.`MetricType`, `ItemPerf`.`Instance`.`Count` "
|
||||
+ "FROM " + ConnectDB.getUsageStatsDBSchema() + ".irus_sushilogtmp_json "
|
||||
+ "LATERAL VIEW posexplode(ItemIdentifier) ItemIdentifierTable AS seqi, ItemIdent "
|
||||
+ "LATERAL VIEW posexplode(ItemPerformance) ItemPerformanceTable AS seqp, ItemPerf "
|
||||
+ "WHERE `ItemIdent`.`Type`= 'OAI'";
|
||||
stmt.executeUpdate(insertSushilogtmp);
|
||||
logger.info("Inserted to irus_sushilogtmp table");
|
||||
|
||||
logger.info("Creating downloads_stats table");
|
||||
String createDownloadsStats = "CREATE TABLE IF NOT EXISTS " + ConnectDB.getUsageStatsDBSchema()
|
||||
+ ".downloads_stats "
|
||||
+ "(`source` string, "
|
||||
+ "`repository_id` string, "
|
||||
+ "`result_id` string, "
|
||||
+ "`date` string, "
|
||||
+ "`count` bigint, "
|
||||
+ "`openaire` bigint)";
|
||||
stmt.executeUpdate(createDownloadsStats);
|
||||
logger.info("Created downloads_stats table");
|
||||
|
||||
logger.info("Inserting into downloads_stats");
|
||||
String insertDStats = "INSERT INTO " + ConnectDB.getUsageStatsDBSchema() + ".downloads_stats "
|
||||
+ "SELECT s.source, d.id AS repository_id, "
|
||||
+ "ro.id as result_id, CONCAT(YEAR(date), '/', LPAD(MONTH(date), 2, '0')) as date, s.count, '0' "
|
||||
+ "FROM " + ConnectDB.getUsageStatsDBSchema() + ".irus_sushilogtmp s, "
|
||||
+ ConnectDB.getStatsDBSchema() + ".datasource_oids d, "
|
||||
+ ConnectDB.getStatsDBSchema() + ".result_oids ro "
|
||||
+ "WHERE s.repository=d.oid AND s.rid=ro.oid AND metric_type='ft_total' AND s.source='IRUS-UK'";
|
||||
stmt.executeUpdate(insertDStats);
|
||||
logger.info("Inserted into downloads_stats");
|
||||
|
||||
logger.info("Creating sushilog table");
|
||||
String createSushilog = "CREATE TABLE IF NOT EXISTS " + ConnectDB.getUsageStatsDBSchema()
|
||||
+ ".sushilog "
|
||||
+ "(`source` string, "
|
||||
+ "`repository_id` string, "
|
||||
+ "`rid` string, "
|
||||
+ "`date` string, "
|
||||
+ "`metric_type` string, "
|
||||
+ "`count` int)";
|
||||
stmt.executeUpdate(createSushilog);
|
||||
logger.info("Created sushilog table");
|
||||
|
||||
logger.info("Inserting to sushilog table");
|
||||
String insertToShushilog = "INSERT INTO " + ConnectDB.getUsageStatsDBSchema() + ".sushilog SELECT * FROM "
|
||||
+ ConnectDB.getUsageStatsDBSchema()
|
||||
+ ".irus_sushilogtmp";
|
||||
stmt.executeUpdate(insertToShushilog);
|
||||
logger.info("Inserted to sushilog table");
|
||||
|
||||
ConnectDB.getHiveConnection().close();
|
||||
}
|
||||
|
||||
public void getIrusRRReport(String irusUKReportPath) throws Exception {
|
||||
SimpleDateFormat sdf = new SimpleDateFormat("YYYY-MM");
|
||||
// Setting the starting period
|
||||
Calendar start = (Calendar) ExecuteWorkflow.startingLogPeriod.clone();
|
||||
logger.info("(getIrusRRReport) Starting period for log download: " + sdf.format(start.getTime()));
|
||||
|
||||
// Setting the ending period (last day of the month)
|
||||
Calendar end = (Calendar) ExecuteWorkflow.endingLogPeriod.clone();
|
||||
end.add(Calendar.MONTH, +1);
|
||||
end.add(Calendar.DAY_OF_MONTH, -1);
|
||||
logger.info("(getIrusRRReport) Ending period for log download: " + sdf.format(end.getTime()));
|
||||
|
||||
String reportUrl = irusUKURL + "GetReport/?Report=RR1&Release=4&RequestorID=OpenAIRE&BeginDate="
|
||||
+ sdf.format(start.getTime()) + "&EndDate=" + sdf.format(end.getTime())
|
||||
+ "&RepositoryIdentifier=&ItemDataType=&NewJiscBand=&Granularity=Monthly&Callback=";
|
||||
|
||||
logger.info("(getIrusRRReport) Getting report: " + reportUrl);
|
||||
|
||||
String text = getJson(reportUrl, "", "");
|
||||
|
||||
List<String> opendoarsToVisit = new ArrayList<String>();
|
||||
JSONParser parser = new JSONParser();
|
||||
JSONObject jsonObject = (JSONObject) parser.parse(text);
|
||||
jsonObject = (JSONObject) jsonObject.get("ReportResponse");
|
||||
jsonObject = (JSONObject) jsonObject.get("Report");
|
||||
jsonObject = (JSONObject) jsonObject.get("Report");
|
||||
jsonObject = (JSONObject) jsonObject.get("Customer");
|
||||
JSONArray jsonArray = (JSONArray) jsonObject.get("ReportItems");
|
||||
int i = 0;
|
||||
for (Object aJsonArray : jsonArray) {
|
||||
JSONObject jsonObjectRow = (JSONObject) aJsonArray;
|
||||
JSONArray itemIdentifier = (JSONArray) jsonObjectRow.get("ItemIdentifier");
|
||||
for (Object identifier : itemIdentifier) {
|
||||
JSONObject opendoar = (JSONObject) identifier;
|
||||
if (opendoar.get("Type").toString().equals("OpenDOAR")) {
|
||||
i++;
|
||||
opendoarsToVisit.add(opendoar.get("Value").toString());
|
||||
break;
|
||||
}
|
||||
}
|
||||
// break;
|
||||
}
|
||||
|
||||
logger.info("(getIrusRRReport) Found the following opendoars for download: " + opendoarsToVisit);
|
||||
|
||||
if (ExecuteWorkflow.irusNumberOfOpendoarsToDownload > 0
|
||||
&& ExecuteWorkflow.irusNumberOfOpendoarsToDownload <= opendoarsToVisit.size()) {
|
||||
logger.info("Trimming siteIds list to the size of: " + ExecuteWorkflow.irusNumberOfOpendoarsToDownload);
|
||||
opendoarsToVisit = opendoarsToVisit.subList(0, ExecuteWorkflow.irusNumberOfOpendoarsToDownload);
|
||||
}
|
||||
|
||||
logger.info("(getIrusRRReport) Downloading the followins opendoars: " + opendoarsToVisit);
|
||||
|
||||
for (String opendoar : opendoarsToVisit) {
|
||||
logger.info("Now working on openDoar: " + opendoar);
|
||||
this.getIrusIRReport(opendoar, irusUKReportPath);
|
||||
}
|
||||
|
||||
logger.info("(getIrusRRReport) Finished with report: " + reportUrl);
|
||||
}
|
||||
|
||||
private void getIrusIRReport(String opendoar, String irusUKReportPath) throws Exception {
|
||||
|
||||
logger.info("(getIrusIRReport) Getting report(s) with opendoar: " + opendoar);
|
||||
|
||||
ConnectDB.getHiveConnection().setAutoCommit(false);
|
||||
|
||||
SimpleDateFormat simpleDateFormat = new SimpleDateFormat("YYYY-MM");
|
||||
|
||||
// Setting the starting period
|
||||
Calendar start = (Calendar) ExecuteWorkflow.startingLogPeriod.clone();
|
||||
logger.info("(getIrusIRReport) Starting period for log download: " + simpleDateFormat.format(start.getTime()));
|
||||
|
||||
// Setting the ending period (last day of the month)
|
||||
Calendar end = (Calendar) ExecuteWorkflow.endingLogPeriod.clone();
|
||||
end.add(Calendar.MONTH, +1);
|
||||
end.add(Calendar.DAY_OF_MONTH, -1);
|
||||
logger.info("(getIrusIRReport) Ending period for log download: " + simpleDateFormat.format(end.getTime()));
|
||||
|
||||
SimpleDateFormat sdf = new SimpleDateFormat("yyyy-MM-dd");
|
||||
PreparedStatement st = ConnectDB
|
||||
.getHiveConnection()
|
||||
.prepareStatement(
|
||||
"SELECT max(date) FROM " + ConnectDB.getUsageStatsDBSchema() + ".sushilog WHERE repository=?");
|
||||
st.setString(1, "opendoar____::" + opendoar);
|
||||
ResultSet rs_date = st.executeQuery();
|
||||
Date dateMax = null;
|
||||
while (rs_date.next()) {
|
||||
if (rs_date.getString(1) != null && !rs_date.getString(1).equals("null")
|
||||
&& !rs_date.getString(1).equals("")) {
|
||||
start.setTime(sdf.parse(rs_date.getString(1)));
|
||||
dateMax = sdf.parse(rs_date.getString(1));
|
||||
}
|
||||
}
|
||||
rs_date.close();
|
||||
int batch_size = 0;
|
||||
|
||||
if (dateMax != null && start.getTime().compareTo(dateMax) <= 0) {
|
||||
logger.info("Date found in logs " + dateMax + " and not downloanding logs for " + opendoar);
|
||||
} else {
|
||||
while (start.before(end)) {
|
||||
logger.info("date: " + simpleDateFormat.format(start.getTime()));
|
||||
String reportUrl = this.irusUKURL + "GetReport/?Report=IR1&Release=4&RequestorID=OpenAIRE&BeginDate="
|
||||
+ simpleDateFormat.format(start.getTime()) + "&EndDate=" + simpleDateFormat.format(start.getTime())
|
||||
+ "&RepositoryIdentifier=opendoar%3A" + opendoar
|
||||
+ "&ItemIdentifier=&ItemDataType=&hasDOI=&Granularity=Monthly&Callback=";
|
||||
start.add(Calendar.MONTH, 1);
|
||||
|
||||
logger.info("Downloading file: " + reportUrl);
|
||||
String text = getJson(reportUrl, "", "");
|
||||
if (text == null) {
|
||||
continue;
|
||||
}
|
||||
|
||||
FileSystem fs = FileSystem.get(new Configuration());
|
||||
String filePath = irusUKReportPath + "/" + "IrusIRReport_"
|
||||
+ opendoar + "_" + simpleDateFormat.format(start.getTime()) + ".json";
|
||||
logger.info("Storing to file: " + filePath);
|
||||
FSDataOutputStream fin = fs.create(new Path(filePath), true);
|
||||
|
||||
JSONParser parser = new JSONParser();
|
||||
JSONObject jsonObject = (JSONObject) parser.parse(text);
|
||||
jsonObject = (JSONObject) jsonObject.get("ReportResponse");
|
||||
jsonObject = (JSONObject) jsonObject.get("Report");
|
||||
jsonObject = (JSONObject) jsonObject.get("Report");
|
||||
jsonObject = (JSONObject) jsonObject.get("Customer");
|
||||
JSONArray jsonArray = (JSONArray) jsonObject.get("ReportItems");
|
||||
if (jsonArray == null) {
|
||||
continue;
|
||||
}
|
||||
String oai = "";
|
||||
for (Object aJsonArray : jsonArray) {
|
||||
JSONObject jsonObjectRow = (JSONObject) aJsonArray;
|
||||
fin.write(jsonObjectRow.toJSONString().getBytes());
|
||||
fin.writeChar('\n');
|
||||
}
|
||||
|
||||
fin.close();
|
||||
}
|
||||
|
||||
}
|
||||
//ConnectDB.getHiveConnection().close();
|
||||
|
||||
logger.info("(getIrusIRReport) Finished downloading report(s) with opendoar: " + opendoar);
|
||||
}
|
||||
|
||||
private String getJson(String url) throws Exception {
|
||||
try {
|
||||
System.out.println("===> Connecting to: " + url);
|
||||
URL website = new URL(url);
|
||||
System.out.println("Connection url -----> " + url);
|
||||
URLConnection connection = website.openConnection();
|
||||
|
||||
// connection.setRequestProperty ("Authorization", "Basic "+encoded);
|
||||
StringBuilder response;
|
||||
try (BufferedReader in = new BufferedReader(new InputStreamReader(connection.getInputStream()))) {
|
||||
response = new StringBuilder();
|
||||
String inputLine;
|
||||
while ((inputLine = in.readLine()) != null) {
|
||||
response.append(inputLine);
|
||||
// response.append("\n");
|
||||
}
|
||||
}
|
||||
|
||||
System.out.println("response ====> " + response.toString());
|
||||
|
||||
return response.toString();
|
||||
} catch (Exception e) {
|
||||
logger.error("Failed to get URL: " + e);
|
||||
System.out.println("Failed to get URL: " + e);
|
||||
throw new Exception("Failed to get URL: " + e.toString(), e);
|
||||
}
|
||||
}
|
||||
|
||||
private String getJson(String url, String username, String password) throws Exception {
|
||||
// String cred=username+":"+password;
|
||||
// String encoded = new sun.misc.BASE64Encoder().encode (cred.getBytes());
|
||||
try {
|
||||
URL website = new URL(url);
|
||||
URLConnection connection = website.openConnection();
|
||||
// connection.setRequestProperty ("Authorization", "Basic "+encoded);
|
||||
StringBuilder response;
|
||||
try (BufferedReader in = new BufferedReader(new InputStreamReader(connection.getInputStream()))) {
|
||||
response = new StringBuilder();
|
||||
String inputLine;
|
||||
while ((inputLine = in.readLine()) != null) {
|
||||
response.append(inputLine);
|
||||
response.append("\n");
|
||||
}
|
||||
}
|
||||
return response.toString();
|
||||
} catch (Exception e) {
|
||||
logger.error("Failed to get URL", e);
|
||||
return null;
|
||||
}
|
||||
}
|
||||
}
|
|
@ -1,265 +0,0 @@
|
|||
package eu.dnetlib.oa.graph.usagestats.export;
|
||||
|
||||
import java.io.*;
|
||||
import java.net.URL;
|
||||
import java.net.URLConnection;
|
||||
import java.sql.PreparedStatement;
|
||||
import java.sql.ResultSet;
|
||||
import java.sql.Statement;
|
||||
import java.text.SimpleDateFormat;
|
||||
import java.util.ArrayList;
|
||||
import java.util.Calendar;
|
||||
import java.util.Date;
|
||||
import java.util.List;
|
||||
|
||||
import org.apache.hadoop.conf.Configuration;
|
||||
import org.apache.hadoop.fs.FSDataOutputStream;
|
||||
import org.apache.hadoop.fs.FileSystem;
|
||||
import org.apache.hadoop.fs.Path;
|
||||
import org.json.simple.JSONArray;
|
||||
import org.json.simple.JSONObject;
|
||||
import org.json.simple.parser.JSONParser;
|
||||
import org.slf4j.Logger;
|
||||
import org.slf4j.LoggerFactory;
|
||||
|
||||
/**
|
||||
* @author D. Pierrakos, S. Zoupanos
|
||||
*/
|
||||
public class LaReferenciaDownloadLogs {
|
||||
|
||||
private final String piwikUrl;
|
||||
private Date startDate;
|
||||
private final String tokenAuth;
|
||||
|
||||
/*
|
||||
* The Piwik's API method
|
||||
*/
|
||||
private final String APImethod = "?module=API&method=Live.getLastVisitsDetails";
|
||||
private final String format = "&format=json";
|
||||
private final String ApimethodGetAllSites = "?module=API&method=SitesManager.getSitesWithViewAccess";
|
||||
|
||||
private static final Logger logger = LoggerFactory.getLogger(LaReferenciaDownloadLogs.class);
|
||||
|
||||
public LaReferenciaDownloadLogs(String piwikUrl, String tokenAuth) throws Exception {
|
||||
this.piwikUrl = piwikUrl;
|
||||
this.tokenAuth = tokenAuth;
|
||||
this.createTables();
|
||||
// this.createTmpTables();
|
||||
}
|
||||
|
||||
public void reCreateLogDirs() throws IllegalArgumentException, IOException {
|
||||
FileSystem dfs = FileSystem.get(new Configuration());
|
||||
|
||||
logger.info("Deleting lareferenciaLog directory: " + ExecuteWorkflow.lareferenciaLogPath);
|
||||
dfs.delete(new Path(ExecuteWorkflow.lareferenciaLogPath), true);
|
||||
|
||||
logger.info("Creating lareferenciaLog directory: " + ExecuteWorkflow.lareferenciaLogPath);
|
||||
dfs.mkdirs(new Path(ExecuteWorkflow.lareferenciaLogPath));
|
||||
}
|
||||
|
||||
private void createTables() throws Exception {
|
||||
try {
|
||||
Statement stmt = ConnectDB.getHiveConnection().createStatement();
|
||||
|
||||
logger.info("Creating LaReferencia tables");
|
||||
String sqlCreateTableLareferenciaLog = "CREATE TABLE IF NOT EXISTS "
|
||||
+ ConnectDB.getUsageStatsDBSchema() + ".lareferencialog(matomoid INT, "
|
||||
+ "source STRING, id_visit STRING, country STRING, action STRING, url STRING, entity_id STRING, "
|
||||
+ "source_item_type STRING, timestamp STRING, referrer_name STRING, agent STRING) "
|
||||
+ "clustered by (source, id_visit, action, timestamp, entity_id) into 100 buckets "
|
||||
+ "stored as orc tblproperties('transactional'='true')";
|
||||
stmt.executeUpdate(sqlCreateTableLareferenciaLog);
|
||||
logger.info("Created LaReferencia tables");
|
||||
// String sqlcreateRuleLaReferenciaLog = "CREATE OR REPLACE RULE ignore_duplicate_inserts AS "
|
||||
// + " ON INSERT TO lareferencialog "
|
||||
// + " WHERE (EXISTS ( SELECT lareferencialog.matomoid, lareferencialog.source, lareferencialog.id_visit,"
|
||||
// + "lareferencialog.action, lareferencialog.\"timestamp\", lareferencialog.entity_id "
|
||||
// + "FROM lareferencialog "
|
||||
// + "WHERE lareferencialog.matomoid=new.matomoid AND lareferencialog.source = new.source AND lareferencialog.id_visit = new.id_visit AND lareferencialog.action = new.action AND lareferencialog.entity_id = new.entity_id AND lareferencialog.\"timestamp\" = new.\"timestamp\")) DO INSTEAD NOTHING;";
|
||||
// String sqlCreateRuleIndexLaReferenciaLog = "create index if not exists lareferencialog_rule on lareferencialog(matomoid, source, id_visit, action, entity_id, \"timestamp\");";
|
||||
// stmt.executeUpdate(sqlcreateRuleLaReferenciaLog);
|
||||
// stmt.executeUpdate(sqlCreateRuleIndexLaReferenciaLog);
|
||||
|
||||
stmt.close();
|
||||
ConnectDB.getHiveConnection().close();
|
||||
logger.info("Lareferencia Tables Created");
|
||||
|
||||
} catch (Exception e) {
|
||||
logger.error("Failed to create tables: " + e);
|
||||
throw new Exception("Failed to create tables: " + e.toString(), e);
|
||||
// System.exit(0);
|
||||
}
|
||||
}
|
||||
|
||||
// private void createTmpTables() throws Exception {
|
||||
//
|
||||
// try {
|
||||
// Statement stmt = ConnectDB.getConnection().createStatement();
|
||||
// String sqlCreateTmpTableLaReferenciaLog = "CREATE TABLE IF NOT EXISTS lareferencialogtmp(matomoid INTEGER, source TEXT, id_visit TEXT, country TEXT, action TEXT, url TEXT, entity_id TEXT, source_item_type TEXT, timestamp TEXT, referrer_name TEXT, agent TEXT, PRIMARY KEY(source, id_visit, action, timestamp, entity_id));";
|
||||
// String sqlcreateTmpRuleLaReferenciaLog = "CREATE OR REPLACE RULE ignore_duplicate_inserts AS "
|
||||
// + " ON INSERT TO lareferencialogtmp "
|
||||
// + " WHERE (EXISTS ( SELECT lareferencialogtmp.matomoid, lareferencialogtmp.source, lareferencialogtmp.id_visit,"
|
||||
// + "lareferencialogtmp.action, lareferencialogtmp.\"timestamp\", lareferencialogtmp.entity_id "
|
||||
// + "FROM lareferencialogtmp "
|
||||
// + "WHERE lareferencialogtmp.matomoid=new.matomoid AND lareferencialogtmp.source = new.source AND lareferencialogtmp.id_visit = new.id_visit AND lareferencialogtmp.action = new.action AND lareferencialogtmp.entity_id = new.entity_id AND lareferencialogtmp.\"timestamp\" = new.\"timestamp\")) DO INSTEAD NOTHING;";
|
||||
// stmt.executeUpdate(sqlCreateTmpTableLaReferenciaLog);
|
||||
// stmt.executeUpdate(sqlcreateTmpRuleLaReferenciaLog);
|
||||
//
|
||||
// stmt.close();
|
||||
// log.info("Lareferencia Tmp Tables Created");
|
||||
//
|
||||
// } catch (Exception e) {
|
||||
// log.error("Failed to create tmptables: " + e);
|
||||
// throw new Exception("Failed to create tmp tables: " + e.toString(), e);
|
||||
// // System.exit(0);
|
||||
// }
|
||||
// }
|
||||
private String getPiwikLogUrl() {
|
||||
return piwikUrl + "/";
|
||||
}
|
||||
|
||||
private String getJson(String url) throws Exception {
|
||||
try {
|
||||
URL website = new URL(url);
|
||||
URLConnection connection = website.openConnection();
|
||||
|
||||
StringBuilder response;
|
||||
try (BufferedReader in = new BufferedReader(new InputStreamReader(connection.getInputStream()))) {
|
||||
response = new StringBuilder();
|
||||
String inputLine;
|
||||
while ((inputLine = in.readLine()) != null) {
|
||||
response.append(inputLine);
|
||||
// response.append("\n");
|
||||
}
|
||||
}
|
||||
|
||||
return response.toString();
|
||||
} catch (Exception e) {
|
||||
logger.error("Failed to get URL: " + e);
|
||||
throw new Exception("Failed to get URL: " + e.toString(), e);
|
||||
}
|
||||
}
|
||||
|
||||
public void GetLaReferenciaRepos(String repoLogsPath) throws Exception {
|
||||
|
||||
String baseApiUrl = getPiwikLogUrl() + ApimethodGetAllSites + format + "&token_auth=" + this.tokenAuth;
|
||||
String content = "";
|
||||
|
||||
List<Integer> siteIdsToVisit = new ArrayList<Integer>();
|
||||
|
||||
// Getting all the siteIds in a list for logging reasons & limiting the list
|
||||
// to the max number of siteIds
|
||||
content = getJson(baseApiUrl);
|
||||
JSONParser parser = new JSONParser();
|
||||
JSONArray jsonArray = (JSONArray) parser.parse(content);
|
||||
for (Object aJsonArray : jsonArray) {
|
||||
JSONObject jsonObjectRow = (JSONObject) aJsonArray;
|
||||
siteIdsToVisit.add(Integer.parseInt(jsonObjectRow.get("idsite").toString()));
|
||||
}
|
||||
logger.info("Found the following siteIds for download: " + siteIdsToVisit);
|
||||
|
||||
if (ExecuteWorkflow.numberOfPiwikIdsToDownload > 0
|
||||
&& ExecuteWorkflow.numberOfPiwikIdsToDownload <= siteIdsToVisit.size()) {
|
||||
logger.info("Trimming siteIds list to the size of: " + ExecuteWorkflow.numberOfPiwikIdsToDownload);
|
||||
siteIdsToVisit = siteIdsToVisit.subList(0, ExecuteWorkflow.numberOfPiwikIdsToDownload);
|
||||
}
|
||||
|
||||
logger.info("Downloading from repos with the followins siteIds: " + siteIdsToVisit);
|
||||
|
||||
for (int siteId : siteIdsToVisit) {
|
||||
logger.info("Now working on LaReferencia MatomoId: " + siteId);
|
||||
this.GetLaReFerenciaLogs(repoLogsPath, siteId);
|
||||
}
|
||||
}
|
||||
|
||||
public void GetLaReFerenciaLogs(String repoLogsPath,
|
||||
int laReferencialMatomoID) throws Exception {
|
||||
|
||||
logger.info("Downloading logs for LaReferencia repoid " + laReferencialMatomoID);
|
||||
|
||||
SimpleDateFormat sdf = new SimpleDateFormat("yyyy-MM-dd");
|
||||
// Setting the starting period
|
||||
Calendar start = (Calendar) ExecuteWorkflow.startingLogPeriod.clone();
|
||||
logger.info("Starting period for log download: " + sdf.format(start.getTime()));
|
||||
|
||||
// Setting the ending period (last day of the month)
|
||||
Calendar end = (Calendar) ExecuteWorkflow.endingLogPeriod.clone();
|
||||
end.add(Calendar.MONTH, +1);
|
||||
end.add(Calendar.DAY_OF_MONTH, -1);
|
||||
logger.info("Ending period for log download: " + sdf.format(end.getTime()));
|
||||
|
||||
PreparedStatement st = ConnectDB
|
||||
.getHiveConnection()
|
||||
.prepareStatement(
|
||||
"SELECT max(timestamp) FROM " + ConnectDB.getUsageStatsDBSchema()
|
||||
+ ".lareferencialog WHERE matomoid=?");
|
||||
st.setInt(1, laReferencialMatomoID);
|
||||
Date dateMax = null;
|
||||
|
||||
ResultSet rs_date = st.executeQuery();
|
||||
while (rs_date.next()) {
|
||||
if (rs_date.getString(1) != null && !rs_date.getString(1).equals("null")
|
||||
&& !rs_date.getString(1).equals("")) {
|
||||
start.setTime(sdf.parse(rs_date.getString(1)));
|
||||
dateMax = sdf.parse(rs_date.getString(1));
|
||||
}
|
||||
}
|
||||
rs_date.close();
|
||||
|
||||
for (Calendar currDay = (Calendar) start.clone(); currDay.before(end); currDay.add(Calendar.DATE, 1)) {
|
||||
Date date = currDay.getTime();
|
||||
if (dateMax != null && currDay.getTime().compareTo(dateMax) <= 0) {
|
||||
logger.info("Date found in logs " + dateMax + " and not downloanding Matomo logs for " + laReferencialMatomoID);
|
||||
} else {
|
||||
logger
|
||||
.info(
|
||||
"Downloading logs for LaReferencia repoid " + laReferencialMatomoID + " and for "
|
||||
+ sdf.format(date));
|
||||
|
||||
String period = "&period=day&date=" + sdf.format(date);
|
||||
String outFolder = "";
|
||||
outFolder = repoLogsPath;
|
||||
|
||||
FileSystem fs = FileSystem.get(new Configuration());
|
||||
FSDataOutputStream fin = fs
|
||||
.create(
|
||||
new Path(outFolder + "/" + laReferencialMatomoID + "_LaRefPiwiklog" + sdf.format((date)) + ".json"),
|
||||
true);
|
||||
|
||||
String baseApiUrl = getPiwikLogUrl() + APImethod + "&idSite=" + laReferencialMatomoID + period + format
|
||||
+ "&expanded=5&filter_limit=1000&token_auth=" + tokenAuth;
|
||||
String content = "";
|
||||
int i = 0;
|
||||
|
||||
JSONParser parser = new JSONParser();
|
||||
do {
|
||||
String apiUrl = baseApiUrl;
|
||||
|
||||
if (i > 0) {
|
||||
apiUrl += "&filter_offset=" + (i * 1000);
|
||||
}
|
||||
|
||||
content = getJson(apiUrl);
|
||||
if (content.length() == 0 || content.equals("[]")) {
|
||||
break;
|
||||
}
|
||||
|
||||
JSONArray jsonArray = (JSONArray) parser.parse(content);
|
||||
for (Object aJsonArray : jsonArray) {
|
||||
JSONObject jsonObjectRaw = (JSONObject) aJsonArray;
|
||||
fin.write(jsonObjectRaw.toJSONString().getBytes());
|
||||
fin.writeChar('\n');
|
||||
}
|
||||
|
||||
logger
|
||||
.info(
|
||||
"Downloaded part " + i + " of logs for LaReferencia repoid " + laReferencialMatomoID
|
||||
+ " and for "
|
||||
+ sdf.format(date));
|
||||
i++;
|
||||
} while (true);
|
||||
fin.close();
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
|
@ -1,436 +0,0 @@
|
|||
|
||||
package eu.dnetlib.oa.graph.usagestats.export;
|
||||
|
||||
import java.io.*;
|
||||
import java.net.URLDecoder;
|
||||
import java.sql.Connection;
|
||||
import java.sql.PreparedStatement;
|
||||
import java.sql.SQLException;
|
||||
import java.sql.Statement;
|
||||
import java.sql.Timestamp;
|
||||
import java.text.SimpleDateFormat;
|
||||
import java.util.*;
|
||||
import java.util.regex.Matcher;
|
||||
import java.util.regex.Pattern;
|
||||
|
||||
import org.apache.hadoop.conf.Configuration;
|
||||
import org.apache.hadoop.fs.FileSystem;
|
||||
import org.apache.hadoop.fs.LocatedFileStatus;
|
||||
import org.apache.hadoop.fs.Path;
|
||||
import org.apache.hadoop.fs.RemoteIterator;
|
||||
import org.json.simple.JSONArray;
|
||||
import org.json.simple.JSONObject;
|
||||
import org.json.simple.parser.JSONParser;
|
||||
import org.slf4j.Logger;
|
||||
import org.slf4j.LoggerFactory;
|
||||
|
||||
/**
|
||||
* @author D. Pierrakos, S. Zoupanos
|
||||
*/
|
||||
public class LaReferenciaStats {
|
||||
|
||||
private static final Logger logger = LoggerFactory.getLogger(LaReferenciaStats.class);
|
||||
|
||||
private String logRepoPath;
|
||||
|
||||
private Statement stmt = null;
|
||||
|
||||
private String CounterRobotsURL;
|
||||
private ArrayList robotsList;
|
||||
|
||||
public LaReferenciaStats(String logRepoPath) throws Exception {
|
||||
this.logRepoPath = logRepoPath;
|
||||
this.createTables();
|
||||
// this.createTmpTables();
|
||||
}
|
||||
|
||||
/*
|
||||
* private void connectDB() throws Exception { try { ConnectDB connectDB = new ConnectDB(); } catch (Exception e) {
|
||||
* log.error("Connect to db failed: " + e); throw new Exception("Failed to connect to db: " + e.toString(), e); } }
|
||||
*/
|
||||
private void createTables() throws Exception {
|
||||
try {
|
||||
Statement stmt = ConnectDB.getHiveConnection().createStatement();
|
||||
|
||||
logger.info("Creating LaReferencia tables");
|
||||
String sqlCreateTableLareferenciaLog = "CREATE TABLE IF NOT EXISTS " +
|
||||
ConnectDB.getUsageStatsDBSchema() + ".lareferencialog(matomoid INT, " +
|
||||
"source STRING, id_visit STRING, country STRING, action STRING, url STRING, entity_id STRING, " +
|
||||
"source_item_type STRING, timestamp STRING, referrer_name STRING, agent STRING) " +
|
||||
"clustered by (source, id_visit, action, timestamp, entity_id) into 100 buckets " +
|
||||
"stored as orc tblproperties('transactional'='true')";
|
||||
stmt.executeUpdate(sqlCreateTableLareferenciaLog);
|
||||
logger.info("Created LaReferencia tables");
|
||||
// String sqlcreateRuleLaReferenciaLog = "CREATE OR REPLACE RULE ignore_duplicate_inserts AS "
|
||||
// + " ON INSERT TO lareferencialog "
|
||||
// + " WHERE (EXISTS ( SELECT lareferencialog.matomoid, lareferencialog.source, lareferencialog.id_visit,"
|
||||
// + "lareferencialog.action, lareferencialog.\"timestamp\", lareferencialog.entity_id "
|
||||
// + "FROM lareferencialog "
|
||||
// + "WHERE lareferencialog.matomoid=new.matomoid AND lareferencialog.source = new.source AND lareferencialog.id_visit = new.id_visit AND lareferencialog.action = new.action AND lareferencialog.entity_id = new.entity_id AND lareferencialog.\"timestamp\" = new.\"timestamp\")) DO INSTEAD NOTHING;";
|
||||
// String sqlCreateRuleIndexLaReferenciaLog = "create index if not exists lareferencialog_rule on lareferencialog(matomoid, source, id_visit, action, entity_id, \"timestamp\");";
|
||||
// stmt.executeUpdate(sqlcreateRuleLaReferenciaLog);
|
||||
// stmt.executeUpdate(sqlCreateRuleIndexLaReferenciaLog);
|
||||
|
||||
stmt.close();
|
||||
ConnectDB.getHiveConnection().close();
|
||||
logger.info("Lareferencia Tables Created");
|
||||
|
||||
} catch (Exception e) {
|
||||
logger.error("Failed to create tables: " + e);
|
||||
throw new Exception("Failed to create tables: " + e.toString(), e);
|
||||
// System.exit(0);
|
||||
}
|
||||
}
|
||||
|
||||
// private void createTmpTables() throws Exception {
|
||||
//
|
||||
// try {
|
||||
// Statement stmt = ConnectDB.getConnection().createStatement();
|
||||
// String sqlCreateTmpTableLaReferenciaLog = "CREATE TABLE IF NOT EXISTS lareferencialogtmp(matomoid INTEGER, source TEXT, id_visit TEXT, country TEXT, action TEXT, url TEXT, entity_id TEXT, source_item_type TEXT, timestamp TEXT, referrer_name TEXT, agent TEXT, PRIMARY KEY(source, id_visit, action, timestamp, entity_id));";
|
||||
// String sqlcreateTmpRuleLaReferenciaLog = "CREATE OR REPLACE RULE ignore_duplicate_inserts AS "
|
||||
// + " ON INSERT TO lareferencialogtmp "
|
||||
// + " WHERE (EXISTS ( SELECT lareferencialogtmp.matomoid, lareferencialogtmp.source, lareferencialogtmp.id_visit,"
|
||||
// + "lareferencialogtmp.action, lareferencialogtmp.\"timestamp\", lareferencialogtmp.entity_id "
|
||||
// + "FROM lareferencialogtmp "
|
||||
// + "WHERE lareferencialogtmp.matomoid=new.matomoid AND lareferencialogtmp.source = new.source AND lareferencialogtmp.id_visit = new.id_visit AND lareferencialogtmp.action = new.action AND lareferencialogtmp.entity_id = new.entity_id AND lareferencialogtmp.\"timestamp\" = new.\"timestamp\")) DO INSTEAD NOTHING;";
|
||||
// stmt.executeUpdate(sqlCreateTmpTableLaReferenciaLog);
|
||||
// stmt.executeUpdate(sqlcreateTmpRuleLaReferenciaLog);
|
||||
//
|
||||
// stmt.close();
|
||||
// log.info("Lareferencia Tmp Tables Created");
|
||||
//
|
||||
// } catch (Exception e) {
|
||||
// log.error("Failed to create tmptables: " + e);
|
||||
// throw new Exception("Failed to create tmp tables: " + e.toString(), e);
|
||||
// // System.exit(0);
|
||||
// }
|
||||
// }
|
||||
|
||||
public void processLogs() throws Exception {
|
||||
try {
|
||||
logger.info("Processing LaReferencia repository logs");
|
||||
processlaReferenciaLog();
|
||||
logger.info("LaReferencia repository logs process done");
|
||||
|
||||
logger.info("LaReferencia removing double clicks");
|
||||
removeDoubleClicks();
|
||||
logger.info("LaReferencia removed double clicks");
|
||||
|
||||
logger.info("LaReferencia creating viewsStats");
|
||||
viewsStats();
|
||||
logger.info("LaReferencia created viewsStats");
|
||||
logger.info("LaReferencia creating downloadsStats");
|
||||
downloadsStats();
|
||||
logger.info("LaReferencia created downloadsStats");
|
||||
logger.info("LaReferencia updating Production Tables");
|
||||
updateProdTables();
|
||||
logger.info("LaReferencia updated Production Tables");
|
||||
|
||||
} catch (Exception e) {
|
||||
logger.error("Failed to process logs: " + e);
|
||||
throw new Exception("Failed to process logs: " + e.toString(), e);
|
||||
}
|
||||
}
|
||||
|
||||
public void processlaReferenciaLog() throws Exception {
|
||||
Statement stmt = ConnectDB.getHiveConnection().createStatement();
|
||||
ConnectDB.getHiveConnection().setAutoCommit(false);
|
||||
|
||||
logger.info("Adding JSON Serde jar");
|
||||
stmt.executeUpdate("add jar /usr/share/cmf/common_jars/hive-hcatalog-core-1.1.0-cdh5.14.0.jar");
|
||||
logger.info("Added JSON Serde jar");
|
||||
|
||||
logger.info("Dropping lareferencialogtmp_json table");
|
||||
String drop_lareferencialogtmp_json = "DROP TABLE IF EXISTS " +
|
||||
ConnectDB.getUsageStatsDBSchema() +
|
||||
".lareferencialogtmp_json";
|
||||
stmt.executeUpdate(drop_lareferencialogtmp_json);
|
||||
logger.info("Dropped lareferencialogtmp_json table");
|
||||
|
||||
logger.info("Creating lareferencialogtmp_json");
|
||||
String create_lareferencialogtmp_json = "CREATE EXTERNAL TABLE IF NOT EXISTS " +
|
||||
ConnectDB.getUsageStatsDBSchema() +
|
||||
".lareferencialogtmp_json(\n" +
|
||||
" `idSite` STRING,\n" +
|
||||
" `idVisit` STRING,\n" +
|
||||
" `country` STRING,\n" +
|
||||
" `referrerName` STRING,\n" +
|
||||
" `browser` STRING,\n" +
|
||||
" `repItem` STRING,\n" +
|
||||
" `actionDetails` ARRAY<\n" +
|
||||
" struct<\n" +
|
||||
" timestamp: STRING,\n" +
|
||||
" type: STRING,\n" +
|
||||
" url: STRING,\n" +
|
||||
" `customVariables`: struct<\n" +
|
||||
" `1`: struct<\n" +
|
||||
" `customVariablePageValue1`: STRING\n" +
|
||||
" >,\n" +
|
||||
" `2`: struct<\n" +
|
||||
" `customVariablePageValue2`: STRING\n" +
|
||||
" >\n" +
|
||||
" >\n" +
|
||||
" >\n" +
|
||||
" >" +
|
||||
")\n" +
|
||||
"ROW FORMAT SERDE 'org.apache.hive.hcatalog.data.JsonSerDe'\n" +
|
||||
"LOCATION '" + ExecuteWorkflow.lareferenciaLogPath + "'\n" +
|
||||
"TBLPROPERTIES (\"transactional\"=\"false\")";
|
||||
stmt.executeUpdate(create_lareferencialogtmp_json);
|
||||
logger.info("Created lareferencialogtmp_json");
|
||||
|
||||
logger.info("Dropping lareferencialogtmp table");
|
||||
String drop_lareferencialogtmp = "DROP TABLE IF EXISTS " +
|
||||
ConnectDB.getUsageStatsDBSchema() +
|
||||
".lareferencialogtmp";
|
||||
stmt.executeUpdate(drop_lareferencialogtmp);
|
||||
logger.info("Dropped lareferencialogtmp table");
|
||||
|
||||
logger.info("Creating lareferencialogtmp");
|
||||
String create_lareferencialogtmp = "CREATE TABLE " +
|
||||
ConnectDB.getUsageStatsDBSchema() + ".lareferencialogtmp(matomoid INT, " +
|
||||
"source STRING, id_visit STRING, country STRING, action STRING, url STRING, entity_id STRING, " +
|
||||
"source_item_type STRING, timestamp STRING, referrer_name STRING, agent STRING) " +
|
||||
"clustered by (source, id_visit, action, timestamp, entity_id) into 100 buckets " +
|
||||
"stored as orc tblproperties('transactional'='true')";
|
||||
stmt.executeUpdate(create_lareferencialogtmp);
|
||||
logger.info("Created lareferencialogtmp");
|
||||
|
||||
logger.info("Inserting into lareferencialogtmp");
|
||||
String insert_lareferencialogtmp = "INSERT INTO " + ConnectDB.getUsageStatsDBSchema() + ".lareferencialogtmp " +
|
||||
"SELECT DISTINCT cast(idSite as INT) as matomoid, CONCAT('opendoar____::', " +
|
||||
"actiondetail.customVariables.`2`.customVariablePageValue2) as source, idVisit as id_Visit, country, " +
|
||||
"actiondetail.type as action, actiondetail.url as url, " +
|
||||
"actiondetail.customVariables.`1`.`customVariablePageValue1` as entity_id, " +
|
||||
"'repItem' as source_item_type, from_unixtime(cast(actiondetail.timestamp as BIGINT)) as timestamp, " +
|
||||
"referrerName as referrer_name, browser as agent " +
|
||||
"FROM " + ConnectDB.getUsageStatsDBSchema() + ".lareferencialogtmp_json " +
|
||||
"LATERAL VIEW explode(actiondetails) actiondetailsTable AS actiondetail";
|
||||
stmt.executeUpdate(insert_lareferencialogtmp);
|
||||
logger.info("Inserted into lareferencialogtmp");
|
||||
|
||||
stmt.close();
|
||||
}
|
||||
|
||||
public void removeDoubleClicks() throws Exception {
|
||||
|
||||
Statement stmt = ConnectDB.getHiveConnection().createStatement();
|
||||
ConnectDB.getHiveConnection().setAutoCommit(false);
|
||||
|
||||
logger.info("Cleaning download double clicks");
|
||||
// clean download double clicks
|
||||
String sql = "DELETE from " + ConnectDB.getUsageStatsDBSchema() + ".lareferencialogtmp WHERE EXISTS (" +
|
||||
"SELECT DISTINCT p1.source, p1.id_visit, p1.action, p1.entity_id, p1.timestamp " +
|
||||
"FROM " + ConnectDB.getUsageStatsDBSchema() + ".lareferencialogtmp p1, " +
|
||||
ConnectDB.getUsageStatsDBSchema() + ".lareferencialogtmp p2 " +
|
||||
"WHERE p1.source=p2.source AND p1.id_visit=p2.id_visit AND p1.entity_id=p2.entity_id " +
|
||||
"AND p1.action=p2.action AND p1.action='download' AND p1.timestamp!=p2.timestamp " +
|
||||
"AND p1.timestamp<p2.timestamp AND ((unix_timestamp(p2.timestamp)-unix_timestamp(p1.timestamp))/60)<30 " +
|
||||
"AND lareferencialogtmp.source=p1.source AND lareferencialogtmp.id_visit=p1.id_visit " +
|
||||
"AND lareferencialogtmp.action=p1.action AND lareferencialogtmp.entity_id=p1.entity_id " +
|
||||
"AND lareferencialogtmp.timestamp=p1.timestamp)";
|
||||
stmt.executeUpdate(sql);
|
||||
stmt.close();
|
||||
logger.info("Cleaned download double clicks");
|
||||
|
||||
stmt = ConnectDB.getHiveConnection().createStatement();
|
||||
logger.info("Cleaning action double clicks");
|
||||
// clean view double clicks
|
||||
sql = "DELETE from " + ConnectDB.getUsageStatsDBSchema() + ".lareferencialogtmp WHERE EXISTS (" +
|
||||
"SELECT DISTINCT p1.source, p1.id_visit, p1.action, p1.entity_id, p1.timestamp " +
|
||||
"FROM " + ConnectDB.getUsageStatsDBSchema() + ".lareferencialogtmp p1, " +
|
||||
ConnectDB.getUsageStatsDBSchema() + ".lareferencialogtmp p2 " +
|
||||
"WHERE p1.source=p2.source AND p1.id_visit=p2.id_visit AND p1.entity_id=p2.entity_id " +
|
||||
"AND p1.action=p2.action AND p1.action='action' AND p1.timestamp!=p2.timestamp " +
|
||||
"AND p1.timestamp<p2.timestamp AND ((unix_timestamp(p2.timestamp)-unix_timestamp(p1.timestamp))/60)<10 " +
|
||||
"AND lareferencialogtmp.source=p1.source AND lareferencialogtmp.id_visit=p1.id_visit " +
|
||||
"AND lareferencialogtmp.action=p1.action AND lareferencialogtmp.entity_id=p1.entity_id " +
|
||||
"AND lareferencialogtmp.timestamp=p1.timestamp)";
|
||||
stmt.executeUpdate(sql);
|
||||
stmt.close();
|
||||
logger.info("Cleaned action double clicks");
|
||||
// conn.close();
|
||||
}
|
||||
|
||||
public void viewsStats() throws Exception {
|
||||
|
||||
Statement stmt = ConnectDB.getHiveConnection().createStatement();
|
||||
ConnectDB.getHiveConnection().setAutoCommit(false);
|
||||
|
||||
logger.info("Creating la_result_views_monthly_tmp view");
|
||||
String sql = "CREATE OR REPLACE VIEW " + ConnectDB.getUsageStatsDBSchema() + ".la_result_views_monthly_tmp AS "
|
||||
+
|
||||
"SELECT entity_id AS id, COUNT(entity_id) as views, SUM(CASE WHEN referrer_name LIKE '%openaire%' " +
|
||||
"THEN 1 ELSE 0 END) AS openaire_referrer, " +
|
||||
"CONCAT(YEAR(timestamp), '/', LPAD(MONTH(timestamp), 2, '0')) AS month, source " +
|
||||
"FROM " + ConnectDB.getUsageStatsDBSchema() + ".lareferencialogtmp where action='action' and " +
|
||||
"(source_item_type='oaItem' or source_item_type='repItem') " +
|
||||
"GROUP BY entity_id, CONCAT(YEAR(timestamp), '/', LPAD(MONTH(timestamp), 2, '0')), " +
|
||||
"source ORDER BY source, entity_id";
|
||||
stmt.executeUpdate(sql);
|
||||
logger.info("Created la_result_views_monthly_tmp view");
|
||||
|
||||
logger.info("Dropping la_views_stats_tmp table");
|
||||
sql = "DROP TABLE IF EXISTS " +
|
||||
ConnectDB.getUsageStatsDBSchema() +
|
||||
".la_views_stats_tmp";
|
||||
stmt.executeUpdate(sql);
|
||||
logger.info("Dropped la_views_stats_tmp table");
|
||||
|
||||
logger.info("Creating la_views_stats_tmp table");
|
||||
sql = "CREATE TABLE IF NOT EXISTS " + ConnectDB.getUsageStatsDBSchema() + ".la_views_stats_tmp " +
|
||||
"AS SELECT 'LaReferencia' as source, d.id as repository_id, ro.id as result_id, month as date, " +
|
||||
"max(views) AS count, max(openaire_referrer) AS openaire " +
|
||||
"FROM " + ConnectDB.getUsageStatsDBSchema() + ".la_result_views_monthly_tmp p, " +
|
||||
ConnectDB.getStatsDBSchema() + ".datasource_oids d, " + ConnectDB.getStatsDBSchema() + ".result_oids ro " +
|
||||
"WHERE p.source=d.oid AND p.id=ro.oid " +
|
||||
"GROUP BY d.id, ro.id, month " +
|
||||
"ORDER BY d.id, ro.id, month";
|
||||
stmt.executeUpdate(sql);
|
||||
logger.info("Created la_views_stats_tmp table");
|
||||
|
||||
stmt.close();
|
||||
ConnectDB.getHiveConnection().close();
|
||||
}
|
||||
|
||||
private void downloadsStats() throws Exception {
|
||||
|
||||
Statement stmt = ConnectDB.getHiveConnection().createStatement();
|
||||
ConnectDB.getHiveConnection().setAutoCommit(false);
|
||||
|
||||
logger.info("Creating la_result_downloads_monthly_tmp view");
|
||||
String sql = "CREATE OR REPLACE VIEW " + ConnectDB.getUsageStatsDBSchema()
|
||||
+ ".la_result_downloads_monthly_tmp AS " +
|
||||
"SELECT entity_id AS id, COUNT(entity_id) as downloads, SUM(CASE WHEN referrer_name LIKE '%openaire%' " +
|
||||
"THEN 1 ELSE 0 END) AS openaire_referrer, " +
|
||||
"CONCAT(YEAR(timestamp), '/', LPAD(MONTH(timestamp), 2, '0')) AS month, source " +
|
||||
"FROM " + ConnectDB.getUsageStatsDBSchema() + ".lareferencialogtmp where action='download' and " +
|
||||
"(source_item_type='oaItem' or source_item_type='repItem') " +
|
||||
"GROUP BY entity_id, CONCAT(YEAR(timestamp), '/', LPAD(MONTH(timestamp), 2, '0')), " +
|
||||
"source ORDER BY source, entity_id";
|
||||
stmt.executeUpdate(sql);
|
||||
logger.info("Created la_result_downloads_monthly_tmp view");
|
||||
|
||||
logger.info("Dropping la_downloads_stats_tmp table");
|
||||
sql = "DROP TABLE IF EXISTS " +
|
||||
ConnectDB.getUsageStatsDBSchema() +
|
||||
".la_downloads_stats_tmp";
|
||||
stmt.executeUpdate(sql);
|
||||
logger.info("Dropped la_downloads_stats_tmp table");
|
||||
|
||||
logger.info("Creating la_downloads_stats_tmp table");
|
||||
sql = "CREATE TABLE IF NOT EXISTS " + ConnectDB.getUsageStatsDBSchema() + ".la_downloads_stats_tmp " +
|
||||
"AS SELECT 'LaReferencia' as source, d.id as repository_id, ro.id as result_id, month as date, " +
|
||||
"max(downloads) AS count, max(openaire_referrer) AS openaire " +
|
||||
"FROM " + ConnectDB.getUsageStatsDBSchema() + ".la_result_downloads_monthly_tmp p, " +
|
||||
ConnectDB.getStatsDBSchema() + ".datasource_oids d, " + ConnectDB.getStatsDBSchema() + ".result_oids ro " +
|
||||
"WHERE p.source=d.oid AND p.id=ro.oid " +
|
||||
"GROUP BY d.id, ro.id, month " +
|
||||
"ORDER BY d.id, ro.id, month";
|
||||
stmt.executeUpdate(sql);
|
||||
logger.info("Created la_downloads_stats_tmp table");
|
||||
|
||||
stmt.close();
|
||||
ConnectDB.getHiveConnection().close();
|
||||
}
|
||||
|
||||
private void updateProdTables() throws SQLException, Exception {
|
||||
|
||||
Statement stmt = ConnectDB.getHiveConnection().createStatement();
|
||||
ConnectDB.getHiveConnection().setAutoCommit(false);
|
||||
|
||||
logger.info("Updating lareferencialog");
|
||||
String sql = "insert into " + ConnectDB.getUsageStatsDBSchema() + ".lareferencialog " +
|
||||
"select * from " + ConnectDB.getUsageStatsDBSchema() + ".lareferencialogtmp";
|
||||
stmt.executeUpdate(sql);
|
||||
|
||||
logger.info("Updating views_stats");
|
||||
sql = "insert into " + ConnectDB.getUsageStatsDBSchema() + ".views_stats " +
|
||||
"select * from " + ConnectDB.getUsageStatsDBSchema() + ".la_views_stats_tmp";
|
||||
stmt.executeUpdate(sql);
|
||||
|
||||
// sql = "insert into public.views_stats select * from la_views_stats_tmp;";
|
||||
// stmt.executeUpdate(sql);
|
||||
|
||||
logger.info("Updating downloads_stats");
|
||||
sql = "insert into " + ConnectDB.getUsageStatsDBSchema() + ".downloads_stats " +
|
||||
"select * from " + ConnectDB.getUsageStatsDBSchema() + ".la_downloads_stats_tmp";
|
||||
stmt.executeUpdate(sql);
|
||||
|
||||
logger.info("Inserting data to usage_stats from lareferencia");
|
||||
sql = "INSERT INTO "+ConnectDB.getUsageStatsDBSchema() + ".usage_stats " +
|
||||
"SELECT coalesce(ds.source, vs.source) as source, " +
|
||||
"coalesce(ds.repository_id, vs.repository_id) as repository_id, " +
|
||||
"coalesce(ds.result_id, vs.result_id) as result_id, coalesce(ds.date, vs.date) as date, " +
|
||||
"coalesce(ds.count, 0) as downloads, coalesce(vs.count, 0) as views, " +
|
||||
"coalesce(ds.openaire, 0) as openaire_downloads, " +
|
||||
"coalesce(vs.openaire, 0) as openaire_views " +
|
||||
"FROM " + ConnectDB.getUsageStatsDBSchema() + ".la_downloads_stats_tmp AS ds FULL OUTER JOIN " +
|
||||
ConnectDB.getUsageStatsDBSchema() + ".la_views_stats_tmp AS vs ON ds.source=vs.source " +
|
||||
"AND ds.repository_id=vs.repository_id AND ds.result_id=vs.result_id AND ds.date=vs.date";
|
||||
stmt.executeUpdate(sql);
|
||||
logger.info("Inserted data to usage_stats from lareferencia");
|
||||
// sql = "insert into public.downloads_stats select * from la_downloads_stats_tmp;";
|
||||
// stmt.executeUpdate(sql);
|
||||
|
||||
stmt.close();
|
||||
ConnectDB.getHiveConnection().close();
|
||||
|
||||
}
|
||||
|
||||
private ArrayList<String> listHdfsDir(String dir) throws Exception {
|
||||
FileSystem hdfs = FileSystem.get(new Configuration());
|
||||
RemoteIterator<LocatedFileStatus> Files;
|
||||
ArrayList<String> fileNames = new ArrayList<>();
|
||||
|
||||
try {
|
||||
Path exportPath = new Path(hdfs.getUri() + dir);
|
||||
Files = hdfs.listFiles(exportPath, false);
|
||||
while (Files.hasNext()) {
|
||||
String fileName = Files.next().getPath().toString();
|
||||
// log.info("Found hdfs file " + fileName);
|
||||
fileNames.add(fileName);
|
||||
}
|
||||
// hdfs.close();
|
||||
} catch (Exception e) {
|
||||
logger.error("HDFS file path with exported data does not exist : " + new Path(hdfs.getUri() + logRepoPath));
|
||||
throw new Exception("HDFS file path with exported data does not exist : " + logRepoPath, e);
|
||||
}
|
||||
|
||||
return fileNames;
|
||||
}
|
||||
|
||||
private String readHDFSFile(String filename) throws Exception {
|
||||
String result;
|
||||
try {
|
||||
|
||||
FileSystem fs = FileSystem.get(new Configuration());
|
||||
// log.info("reading file : " + filename);
|
||||
|
||||
BufferedReader br = new BufferedReader(new InputStreamReader(fs.open(new Path(filename))));
|
||||
|
||||
StringBuilder sb = new StringBuilder();
|
||||
String line = br.readLine();
|
||||
|
||||
while (line != null) {
|
||||
if (!line.equals("[]")) {
|
||||
sb.append(line);
|
||||
}
|
||||
// sb.append(line);
|
||||
line = br.readLine();
|
||||
}
|
||||
result = sb.toString().replace("][{\"idSite\"", ",{\"idSite\"");
|
||||
if (result.equals("")) {
|
||||
result = "[]";
|
||||
}
|
||||
|
||||
// fs.close();
|
||||
} catch (Exception e) {
|
||||
logger.error(e.getMessage());
|
||||
throw new Exception(e);
|
||||
}
|
||||
|
||||
return result;
|
||||
}
|
||||
|
||||
}
|
|
@ -1,325 +0,0 @@
|
|||
package eu.dnetlib.oa.graph.usagestats.export;
|
||||
|
||||
import java.io.*;
|
||||
import java.net.Authenticator;
|
||||
import java.net.URL;
|
||||
import java.net.URLConnection;
|
||||
import java.sql.PreparedStatement;
|
||||
import java.sql.ResultSet;
|
||||
import java.sql.Statement;
|
||||
import java.text.SimpleDateFormat;
|
||||
import java.util.ArrayList;
|
||||
import java.util.Calendar;
|
||||
import java.util.Date;
|
||||
import java.util.List;
|
||||
import java.util.concurrent.ExecutorService;
|
||||
import java.util.concurrent.Executors;
|
||||
|
||||
import org.apache.hadoop.conf.Configuration;
|
||||
import org.apache.hadoop.fs.FSDataOutputStream;
|
||||
import org.apache.hadoop.fs.FileSystem;
|
||||
import org.apache.hadoop.fs.Path;
|
||||
import org.json.simple.JSONArray;
|
||||
import org.json.simple.JSONObject;
|
||||
import org.json.simple.parser.JSONParser;
|
||||
import org.slf4j.Logger;
|
||||
import org.slf4j.LoggerFactory;
|
||||
|
||||
/**
|
||||
* @author D. Pierrakos, S. Zoupanos
|
||||
*/
|
||||
public class PiwikDownloadLogs {
|
||||
|
||||
private final String piwikUrl;
|
||||
private Date startDate;
|
||||
private final String tokenAuth;
|
||||
|
||||
/*
|
||||
* The Piwik's API method
|
||||
*/
|
||||
private final String APImethod = "?module=API&method=Live.getLastVisitsDetails";
|
||||
private final String format = "&format=json";
|
||||
|
||||
private static final Logger logger = LoggerFactory.getLogger(PiwikDownloadLogs.class);
|
||||
|
||||
public PiwikDownloadLogs(String piwikUrl, String tokenAuth) {
|
||||
this.piwikUrl = piwikUrl;
|
||||
this.tokenAuth = tokenAuth;
|
||||
|
||||
}
|
||||
|
||||
private String getPiwikLogUrl() {
|
||||
return "https://" + piwikUrl + "/";
|
||||
}
|
||||
|
||||
private String getJson(String url) throws Exception {
|
||||
try {
|
||||
logger.debug("Connecting to download the JSON: " + url);
|
||||
URL website = new URL(url);
|
||||
URLConnection connection = website.openConnection();
|
||||
|
||||
StringBuilder response;
|
||||
try (BufferedReader in = new BufferedReader(new InputStreamReader(connection.getInputStream()))) {
|
||||
response = new StringBuilder();
|
||||
String inputLine;
|
||||
while ((inputLine = in.readLine()) != null) {
|
||||
response.append(inputLine);
|
||||
}
|
||||
}
|
||||
return response.toString();
|
||||
} catch (Exception e) {
|
||||
logger.error("Failed to get URL: " + url + " Exception: " + e);
|
||||
throw new Exception("Failed to get URL: " + url + " Exception: " + e.toString(), e);
|
||||
}
|
||||
}
|
||||
|
||||
class WorkerThread implements Runnable {
|
||||
|
||||
private Calendar currDay;
|
||||
private int siteId;
|
||||
private String repoLogsPath;
|
||||
private String portalLogPath;
|
||||
private String portalMatomoID;
|
||||
|
||||
public WorkerThread(Calendar currDay, int siteId, String repoLogsPath, String portalLogPath,
|
||||
String portalMatomoID) throws IOException {
|
||||
this.currDay = (Calendar) currDay.clone();
|
||||
this.siteId = new Integer(siteId);
|
||||
this.repoLogsPath = new String(repoLogsPath);
|
||||
this.portalLogPath = new String(portalLogPath);
|
||||
this.portalMatomoID = new String(portalMatomoID);
|
||||
}
|
||||
|
||||
public void run() {
|
||||
SimpleDateFormat sdf = new SimpleDateFormat("yyyy-MM-dd");
|
||||
System.out
|
||||
.println(
|
||||
Thread.currentThread().getName() + " (Start) Thread for "
|
||||
+ "parameters: currDay=" + sdf.format(currDay.getTime()) + ", siteId=" + siteId
|
||||
+ ", repoLogsPath=" + repoLogsPath + ", portalLogPath=" + portalLogPath
|
||||
+ ", portalLogPath=" + portalLogPath + ", portalMatomoID=" + portalMatomoID);
|
||||
try {
|
||||
GetOpenAIRELogsForDate(currDay, siteId, repoLogsPath, portalLogPath, portalMatomoID);
|
||||
|
||||
} catch (Exception e) {
|
||||
// TODO Auto-generated catch block
|
||||
e.printStackTrace();
|
||||
}
|
||||
System.out
|
||||
.println(
|
||||
Thread.currentThread().getName() + " (End) Thread for "
|
||||
+ "parameters: currDay=" + sdf.format(currDay.getTime()) + ", siteId=" + siteId
|
||||
+ ", repoLogsPath=" + repoLogsPath + ", portalLogPath=" + portalLogPath
|
||||
+ ", portalLogPath=" + portalLogPath + ", portalMatomoID=" + portalMatomoID);
|
||||
}
|
||||
|
||||
public void GetOpenAIRELogsForDate(Calendar currDay, int siteId, String repoLogsPath, String portalLogPath,
|
||||
String portalMatomoID) throws Exception {
|
||||
SimpleDateFormat sdf = new SimpleDateFormat("yyyy-MM-dd");
|
||||
|
||||
Date date = currDay.getTime();
|
||||
logger.info("Downloading logs for repoid " + siteId + " and for " + sdf.format(date));
|
||||
|
||||
String period = "&period=day&date=" + sdf.format(date);
|
||||
String outFolder = "";
|
||||
if (siteId == Integer.parseInt(portalMatomoID)) {
|
||||
outFolder = portalLogPath;
|
||||
} else {
|
||||
outFolder = repoLogsPath;
|
||||
}
|
||||
|
||||
String baseApiUrl = getPiwikLogUrl() + APImethod + "&idSite=" + siteId + period + format
|
||||
+ "&expanded=5&filter_limit=1000&token_auth=" + tokenAuth;
|
||||
String content = "";
|
||||
|
||||
int i = 0;
|
||||
|
||||
JSONParser parser = new JSONParser();
|
||||
StringBuffer totalContent = new StringBuffer();
|
||||
FileSystem fs = FileSystem.get(new Configuration());
|
||||
|
||||
do {
|
||||
int writtenBytes = 0;
|
||||
String apiUrl = baseApiUrl;
|
||||
|
||||
if (i > 0) {
|
||||
apiUrl += "&filter_offset=" + (i * 1000);
|
||||
}
|
||||
|
||||
content = getJson(apiUrl);
|
||||
if (content.length() == 0 || content.equals("[]")) {
|
||||
break;
|
||||
}
|
||||
|
||||
FSDataOutputStream fin = fs
|
||||
.create(
|
||||
new Path(outFolder + "/" + siteId + "_Piwiklog" + sdf.format((date)) + "_offset_" + i
|
||||
+ ".json"),
|
||||
true);
|
||||
JSONArray jsonArray = (JSONArray) parser.parse(content);
|
||||
for (Object aJsonArray : jsonArray) {
|
||||
JSONObject jsonObjectRaw = (JSONObject) aJsonArray;
|
||||
byte[] jsonObjectRawBytes = jsonObjectRaw.toJSONString().getBytes();
|
||||
fin.write(jsonObjectRawBytes);
|
||||
fin.writeChar('\n');
|
||||
|
||||
writtenBytes += jsonObjectRawBytes.length + 1;
|
||||
}
|
||||
|
||||
fin.close();
|
||||
System.out
|
||||
.println(
|
||||
Thread.currentThread().getName() + " (Finished writing) Wrote " + writtenBytes
|
||||
+ " bytes. Filename: " + siteId + "_Piwiklog" + sdf.format((date)) + "_offset_" + i
|
||||
+ ".json");
|
||||
|
||||
i++;
|
||||
} while (true);
|
||||
|
||||
fs.close();
|
||||
}
|
||||
}
|
||||
|
||||
public void GetOpenAIRELogs(String repoLogsPath, String portalLogPath, String portalMatomoID) throws Exception {
|
||||
|
||||
Statement statement = ConnectDB.getHiveConnection().createStatement();
|
||||
SimpleDateFormat sdf = new SimpleDateFormat("yyyy-MM-dd");
|
||||
|
||||
ResultSet rs = statement
|
||||
.executeQuery(
|
||||
"SELECT distinct piwik_id from " + ConnectDB.getStatsDBSchema()
|
||||
+ ".datasource where piwik_id is not null and piwik_id <> 0 order by piwik_id");
|
||||
|
||||
// Getting all the piwikids in a list for logging reasons & limitting the list
|
||||
// to the max number of piwikids
|
||||
List<Integer> piwikIdToVisit = new ArrayList<Integer>();
|
||||
while (rs.next())
|
||||
piwikIdToVisit.add(rs.getInt(1));
|
||||
logger.info("Found the following piwikIds for download: " + piwikIdToVisit);
|
||||
|
||||
if (ExecuteWorkflow.numberOfPiwikIdsToDownload > 0
|
||||
&& ExecuteWorkflow.numberOfPiwikIdsToDownload <= piwikIdToVisit.size()) {
|
||||
logger.info("Trimming piwikIds list to the size of: " + ExecuteWorkflow.numberOfPiwikIdsToDownload);
|
||||
piwikIdToVisit = piwikIdToVisit.subList(0, ExecuteWorkflow.numberOfPiwikIdsToDownload);
|
||||
}
|
||||
|
||||
logger.info("Downloading from repos with the followins piwikIds: " + piwikIdToVisit);
|
||||
|
||||
// ExecutorService executor = Executors.newFixedThreadPool(ExecuteWorkflow.numberOfDownloadThreads);
|
||||
for (int siteId : piwikIdToVisit) {
|
||||
// Setting the starting period
|
||||
Calendar start = (Calendar) ExecuteWorkflow.startingLogPeriod.clone();
|
||||
logger.info("Starting period for log download: " + sdf.format(start.getTime()));
|
||||
|
||||
// Setting the ending period (last day of the month)
|
||||
Calendar end = (Calendar) ExecuteWorkflow.endingLogPeriod.clone();
|
||||
end.add(Calendar.MONTH, +1);
|
||||
end.add(Calendar.DAY_OF_MONTH, -1);
|
||||
logger.info("Ending period for log download: " + sdf.format(end.getTime()));
|
||||
|
||||
logger.info("Now working on piwikId: " + siteId);
|
||||
|
||||
PreparedStatement st = ConnectDB.DB_HIVE_CONNECTION
|
||||
.prepareStatement(
|
||||
"SELECT max(timestamp) FROM " + ConnectDB.getUsageStatsDBSchema()
|
||||
+ ".piwiklog WHERE source=?");
|
||||
st.setInt(1, siteId);
|
||||
Date dateMax = null;
|
||||
ResultSet rs_date = st.executeQuery();
|
||||
while (rs_date.next()) {
|
||||
logger.info("Found max date: " + rs_date.getString(1) + " for repository " + siteId);
|
||||
|
||||
if (rs_date.getString(1) != null && !rs_date.getString(1).equals("null")
|
||||
&& !rs_date.getString(1).equals("")) {
|
||||
start.setTime(sdf.parse(rs_date.getString(1)));
|
||||
dateMax = sdf.parse(rs_date.getString(1));
|
||||
}
|
||||
}
|
||||
rs_date.close();
|
||||
|
||||
for (Calendar currDay = (Calendar) start.clone(); currDay.before(end); currDay.add(Calendar.DATE, 1)) {
|
||||
// logger.info("Date used " + currDay.toString());
|
||||
// Runnable worker = new WorkerThread(currDay, siteId, repoLogsPath, portalLogPath, portalMatomoID);
|
||||
// executor.execute(worker);// calling execute method of ExecutorService
|
||||
logger.info("Date used " + currDay.getTime().toString());
|
||||
|
||||
if (dateMax != null && currDay.getTime().compareTo(dateMax) <= 0) {
|
||||
logger.info("Date found in logs " + dateMax + " and not downloanding Matomo logs for " + siteId);
|
||||
} else {
|
||||
GetOpenAIRELogsForDate(currDay, siteId, repoLogsPath, portalLogPath, portalMatomoID);
|
||||
}
|
||||
|
||||
}
|
||||
}
|
||||
// executor.shutdown();
|
||||
// while (!executor.isTerminated()) {
|
||||
// }
|
||||
// System.out.println("Finished all threads");
|
||||
}
|
||||
|
||||
public void GetOpenAIRELogsForDate(Calendar currDay, int siteId, String repoLogsPath, String portalLogPath,
|
||||
String portalMatomoID) throws Exception {
|
||||
SimpleDateFormat sdf = new SimpleDateFormat("yyyy-MM-dd");
|
||||
|
||||
Date date = currDay.getTime();
|
||||
logger.info("Downloading logs for repoid " + siteId + " and for " + sdf.format(date));
|
||||
|
||||
String period = "&period=day&date=" + sdf.format(date);
|
||||
String outFolder = "";
|
||||
if (siteId == Integer.parseInt(portalMatomoID)) {
|
||||
outFolder = portalLogPath;
|
||||
} else {
|
||||
outFolder = repoLogsPath;
|
||||
}
|
||||
|
||||
String baseApiUrl = getPiwikLogUrl() + APImethod + "&idSite=" + siteId + period + format
|
||||
+ "&expanded=5&filter_limit=1000&token_auth=" + tokenAuth;
|
||||
String content = "";
|
||||
|
||||
int i = 0;
|
||||
|
||||
JSONParser parser = new JSONParser();
|
||||
StringBuffer totalContent = new StringBuffer();
|
||||
FileSystem fs = FileSystem.get(new Configuration());
|
||||
|
||||
do {
|
||||
int writtenBytes = 0;
|
||||
String apiUrl = baseApiUrl;
|
||||
|
||||
if (i > 0) {
|
||||
apiUrl += "&filter_offset=" + (i * 1000);
|
||||
}
|
||||
|
||||
content = getJson(apiUrl);
|
||||
if (content.length() == 0 || content.equals("[]")) {
|
||||
break;
|
||||
}
|
||||
|
||||
FSDataOutputStream fin = fs
|
||||
.create(
|
||||
new Path(outFolder + "/" + siteId + "_Piwiklog" + sdf.format((date)) + "_offset_" + i
|
||||
+ ".json"),
|
||||
true);
|
||||
JSONArray jsonArray = (JSONArray) parser.parse(content);
|
||||
for (Object aJsonArray : jsonArray) {
|
||||
JSONObject jsonObjectRaw = (JSONObject) aJsonArray;
|
||||
byte[] jsonObjectRawBytes = jsonObjectRaw.toJSONString().getBytes();
|
||||
fin.write(jsonObjectRawBytes);
|
||||
fin.writeChar('\n');
|
||||
|
||||
writtenBytes += jsonObjectRawBytes.length + 1;
|
||||
}
|
||||
|
||||
fin.close();
|
||||
System.out
|
||||
.println(
|
||||
Thread.currentThread().getName() + " (Finished writing) Wrote " + writtenBytes
|
||||
+ " bytes. Filename: " + siteId + "_Piwiklog" + sdf.format((date)) + "_offset_" + i
|
||||
+ ".json");
|
||||
|
||||
i++;
|
||||
} while (true);
|
||||
|
||||
fs.close();
|
||||
}
|
||||
}
|
File diff suppressed because it is too large
Load Diff
|
@ -1,54 +0,0 @@
|
|||
/*
|
||||
* To change this license header, choose License Headers in Project Properties.
|
||||
* To change this template file, choose Tools | Templates
|
||||
* and open the template in the editor.
|
||||
*/
|
||||
|
||||
package eu.dnetlib.oa.graph.usagestats.export;
|
||||
|
||||
/**
|
||||
* @author D. Pierrakos, S. Zoupanos
|
||||
*/
|
||||
/**
|
||||
* @author D. Pierrakos, S. Zoupanos
|
||||
*/
|
||||
import java.io.BufferedReader;
|
||||
import java.io.IOException;
|
||||
import java.io.InputStream;
|
||||
import java.io.InputStreamReader;
|
||||
import java.net.MalformedURLException;
|
||||
import java.net.URL;
|
||||
import java.nio.charset.Charset;
|
||||
import java.util.ArrayList;
|
||||
|
||||
import org.json.JSONException;
|
||||
import org.json.simple.JSONArray;
|
||||
import org.json.simple.parser.JSONParser;
|
||||
import org.json.simple.parser.ParseException;
|
||||
|
||||
public class ReadCounterRobotsList {
|
||||
|
||||
private ArrayList robotsPatterns = new ArrayList();
|
||||
private String COUNTER_ROBOTS_URL;
|
||||
|
||||
public ReadCounterRobotsList(String url) throws IOException, JSONException, ParseException {
|
||||
COUNTER_ROBOTS_URL = url;
|
||||
robotsPatterns = readRobotsPartners(COUNTER_ROBOTS_URL);
|
||||
}
|
||||
|
||||
private ArrayList readRobotsPartners(String url) throws MalformedURLException, IOException, ParseException {
|
||||
InputStream is = new URL(url).openStream();
|
||||
JSONParser parser = new JSONParser();
|
||||
BufferedReader reader = new BufferedReader(new InputStreamReader(is, Charset.forName("ISO-8859-1")));
|
||||
JSONArray jsonArray = (JSONArray) parser.parse(reader);
|
||||
for (Object aJsonArray : jsonArray) {
|
||||
org.json.simple.JSONObject jsonObjectRow = (org.json.simple.JSONObject) aJsonArray;
|
||||
robotsPatterns.add(jsonObjectRow.get("pattern").toString().replace("\\", "\\\\"));
|
||||
}
|
||||
return robotsPatterns;
|
||||
}
|
||||
|
||||
public ArrayList getRobotsPatterns() {
|
||||
return robotsPatterns;
|
||||
}
|
||||
}
|
|
@ -1,575 +0,0 @@
|
|||
package eu.dnetlib.oa.graph.usagestats.export;
|
||||
|
||||
import java.io.*;
|
||||
// import java.io.BufferedReader;
|
||||
// import java.io.InputStreamReader;
|
||||
import java.net.URL;
|
||||
import java.net.URLConnection;
|
||||
import java.sql.PreparedStatement;
|
||||
import java.sql.ResultSet;
|
||||
import java.sql.SQLException;
|
||||
import java.sql.Statement;
|
||||
import java.text.SimpleDateFormat;
|
||||
import java.util.ArrayList;
|
||||
import java.util.Calendar;
|
||||
import java.util.Date;
|
||||
import java.util.HashSet;
|
||||
import java.util.List;
|
||||
import java.util.Set;
|
||||
|
||||
import org.apache.hadoop.conf.Configuration;
|
||||
import org.apache.hadoop.fs.FSDataOutputStream;
|
||||
import org.apache.hadoop.fs.FileSystem;
|
||||
import org.apache.hadoop.fs.Path;
|
||||
import org.json.simple.JSONArray;
|
||||
import org.json.simple.JSONObject;
|
||||
import org.json.simple.parser.JSONParser;
|
||||
import org.json.simple.parser.ParseException;
|
||||
import org.slf4j.Logger;
|
||||
import org.slf4j.LoggerFactory;
|
||||
|
||||
/**
|
||||
* @author D. Pierrakos, S. Zoupanos
|
||||
*/
|
||||
public class SarcStats {
|
||||
|
||||
private Statement stmtHive = null;
|
||||
private Statement stmtImpala = null;
|
||||
|
||||
private static final Logger logger = LoggerFactory.getLogger(SarcStats.class);
|
||||
|
||||
public SarcStats() throws Exception {
|
||||
// createTables();
|
||||
}
|
||||
|
||||
private void createTables() throws Exception {
|
||||
try {
|
||||
|
||||
stmtHive = ConnectDB.getHiveConnection().createStatement();
|
||||
String sqlCreateTableSushiLog = "CREATE TABLE IF NOT EXISTS sushilog(source TEXT, repository TEXT, rid TEXT, date TEXT, metric_type TEXT, count INT, PRIMARY KEY(source, repository, rid, date, metric_type));";
|
||||
stmtHive.executeUpdate(sqlCreateTableSushiLog);
|
||||
|
||||
// String sqlCopyPublicSushiLog="INSERT INTO sushilog SELECT * FROM public.sushilog;";
|
||||
// stmt.executeUpdate(sqlCopyPublicSushiLog);
|
||||
String sqlcreateRuleSushiLog = "CREATE OR REPLACE RULE ignore_duplicate_inserts AS "
|
||||
+ " ON INSERT TO sushilog "
|
||||
+ " WHERE (EXISTS ( SELECT sushilog.source, sushilog.repository,"
|
||||
+ "sushilog.rid, sushilog.date "
|
||||
+ "FROM sushilog "
|
||||
+ "WHERE sushilog.source = new.source AND sushilog.repository = new.repository AND sushilog.rid = new.rid AND sushilog.date = new.date AND sushilog.metric_type = new.metric_type)) DO INSTEAD NOTHING;";
|
||||
stmtHive.executeUpdate(sqlcreateRuleSushiLog);
|
||||
String createSushiIndex = "create index if not exists sushilog_duplicates on sushilog(source, repository, rid, date, metric_type);";
|
||||
stmtHive.executeUpdate(createSushiIndex);
|
||||
|
||||
stmtHive.close();
|
||||
ConnectDB.getHiveConnection().close();
|
||||
logger.info("Sushi Tables Created");
|
||||
} catch (Exception e) {
|
||||
logger.error("Failed to create tables: " + e);
|
||||
throw new Exception("Failed to create tables: " + e.toString(), e);
|
||||
}
|
||||
}
|
||||
|
||||
public void reCreateLogDirs() throws IOException {
|
||||
FileSystem dfs = FileSystem.get(new Configuration());
|
||||
|
||||
logger.info("Deleting sarcsReport (Array) directory: " + ExecuteWorkflow.sarcsReportPathArray);
|
||||
dfs.delete(new Path(ExecuteWorkflow.sarcsReportPathArray), true);
|
||||
|
||||
logger.info("Deleting sarcsReport (NonArray) directory: " + ExecuteWorkflow.sarcsReportPathNonArray);
|
||||
dfs.delete(new Path(ExecuteWorkflow.sarcsReportPathNonArray), true);
|
||||
|
||||
logger.info("Creating sarcsReport (Array) directory: " + ExecuteWorkflow.sarcsReportPathArray);
|
||||
dfs.mkdirs(new Path(ExecuteWorkflow.sarcsReportPathArray));
|
||||
|
||||
logger.info("Creating sarcsReport (NonArray) directory: " + ExecuteWorkflow.sarcsReportPathNonArray);
|
||||
dfs.mkdirs(new Path(ExecuteWorkflow.sarcsReportPathNonArray));
|
||||
}
|
||||
|
||||
public void processSarc(String sarcsReportPathArray, String sarcsReportPathNonArray) throws Exception {
|
||||
Statement stmt = ConnectDB.getHiveConnection().createStatement();
|
||||
ConnectDB.getHiveConnection().setAutoCommit(false);
|
||||
|
||||
logger.info("Adding JSON Serde jar");
|
||||
stmt.executeUpdate("add jar /usr/share/cmf/common_jars/hive-hcatalog-core-1.1.0-cdh5.14.0.jar");
|
||||
logger.info("Added JSON Serde jar");
|
||||
|
||||
logger.info("Dropping sarc_sushilogtmp_json_array table");
|
||||
String drop_sarc_sushilogtmp_json_array = "DROP TABLE IF EXISTS "
|
||||
+ ConnectDB.getUsageStatsDBSchema() + ".sarc_sushilogtmp_json_array";
|
||||
stmt.executeUpdate(drop_sarc_sushilogtmp_json_array);
|
||||
logger.info("Dropped sarc_sushilogtmp_json_array table");
|
||||
|
||||
logger.info("Creating sarc_sushilogtmp_json_array table");
|
||||
String create_sarc_sushilogtmp_json_array = "CREATE EXTERNAL TABLE IF NOT EXISTS "
|
||||
+ ConnectDB.getUsageStatsDBSchema() + ".sarc_sushilogtmp_json_array(\n"
|
||||
+ " `ItemIdentifier` ARRAY<\n"
|
||||
+ " struct<\n"
|
||||
+ " `Type`: STRING,\n"
|
||||
+ " `Value`: STRING\n"
|
||||
+ " >\n"
|
||||
+ " >,\n"
|
||||
+ " `ItemPerformance` struct<\n"
|
||||
+ " `Period`: struct<\n"
|
||||
+ " `Begin`: STRING,\n"
|
||||
+ " `End`: STRING\n"
|
||||
+ " >,\n"
|
||||
+ " `Instance`: struct<\n"
|
||||
+ " `Count`: STRING,\n"
|
||||
+ " `MetricType`: STRING\n"
|
||||
+ " >\n"
|
||||
+ " >\n"
|
||||
+ ")"
|
||||
+ "ROW FORMAT SERDE 'org.apache.hive.hcatalog.data.JsonSerDe'\n"
|
||||
+ "LOCATION '" + sarcsReportPathArray + "/'\n"
|
||||
+ "TBLPROPERTIES (\"transactional\"=\"false\")";
|
||||
stmt.executeUpdate(create_sarc_sushilogtmp_json_array);
|
||||
logger.info("Created sarc_sushilogtmp_json_array table");
|
||||
|
||||
logger.info("Dropping sarc_sushilogtmp_json_non_array table");
|
||||
String drop_sarc_sushilogtmp_json_non_array = "DROP TABLE IF EXISTS "
|
||||
+ ConnectDB.getUsageStatsDBSchema()
|
||||
+ ".sarc_sushilogtmp_json_non_array";
|
||||
stmt.executeUpdate(drop_sarc_sushilogtmp_json_non_array);
|
||||
logger.info("Dropped sarc_sushilogtmp_json_non_array table");
|
||||
|
||||
logger.info("Creating sarc_sushilogtmp_json_non_array table");
|
||||
String create_sarc_sushilogtmp_json_non_array = "CREATE EXTERNAL TABLE IF NOT EXISTS "
|
||||
+ ConnectDB.getUsageStatsDBSchema() + ".sarc_sushilogtmp_json_non_array (\n"
|
||||
+ " `ItemIdentifier` struct<\n"
|
||||
+ " `Type`: STRING,\n"
|
||||
+ " `Value`: STRING\n"
|
||||
+ " >,\n"
|
||||
+ " `ItemPerformance` struct<\n"
|
||||
+ " `Period`: struct<\n"
|
||||
+ " `Begin`: STRING,\n"
|
||||
+ " `End`: STRING\n"
|
||||
+ " >,\n"
|
||||
+ " `Instance`: struct<\n"
|
||||
+ " `Count`: STRING,\n"
|
||||
+ " `MetricType`: STRING\n"
|
||||
+ " >\n"
|
||||
+ " >"
|
||||
+ ")"
|
||||
+ "ROW FORMAT SERDE 'org.apache.hive.hcatalog.data.JsonSerDe'\n"
|
||||
+ "LOCATION '" + sarcsReportPathNonArray + "/'\n"
|
||||
+ "TBLPROPERTIES (\"transactional\"=\"false\")";
|
||||
stmt.executeUpdate(create_sarc_sushilogtmp_json_non_array);
|
||||
logger.info("Created sarc_sushilogtmp_json_non_array table");
|
||||
|
||||
logger.info("Creating sarc_sushilogtmp table");
|
||||
String create_sarc_sushilogtmp = "CREATE TABLE IF NOT EXISTS " + ConnectDB.getUsageStatsDBSchema()
|
||||
+ ".sarc_sushilogtmp(source STRING, repository STRING, "
|
||||
+ "rid STRING, date STRING, metric_type STRING, count INT) clustered by (source) into 100 buckets stored as orc "
|
||||
+ "tblproperties('transactional'='true')";
|
||||
stmt.executeUpdate(create_sarc_sushilogtmp);
|
||||
logger.info("Created sarc_sushilogtmp table");
|
||||
|
||||
logger.info("Inserting to sarc_sushilogtmp table (sarc_sushilogtmp_json_array)");
|
||||
String insert_sarc_sushilogtmp = "INSERT INTO " + ConnectDB.getUsageStatsDBSchema() + ".sarc_sushilogtmp "
|
||||
+ "SELECT 'SARC-OJS', split(split(INPUT__FILE__NAME,'SarcsARReport_')[1],'_')[0], "
|
||||
+ " `ItemIdent`.`Value`, `ItemPerformance`.`Period`.`Begin`, "
|
||||
+ "`ItemPerformance`.`Instance`.`MetricType`, `ItemPerformance`.`Instance`.`Count` "
|
||||
+ "FROM " + ConnectDB.getUsageStatsDBSchema() + ".sarc_sushilogtmp_json_array "
|
||||
+ "LATERAL VIEW posexplode(ItemIdentifier) ItemIdentifierTable AS seqi, ItemIdent "
|
||||
+ "WHERE `ItemIdent`.`Type`='DOI'";
|
||||
stmt.executeUpdate(insert_sarc_sushilogtmp);
|
||||
logger.info("Inserted to sarc_sushilogtmp table (sarc_sushilogtmp_json_array)");
|
||||
|
||||
logger.info("Inserting to sarc_sushilogtmp table (sarc_sushilogtmp_json_non_array)");
|
||||
insert_sarc_sushilogtmp = "INSERT INTO " + ConnectDB.getUsageStatsDBSchema() + ".sarc_sushilogtmp "
|
||||
+ "SELECT 'SARC-OJS', split(split(INPUT__FILE__NAME,'SarcsARReport_')[1],'_')[0], "
|
||||
+ "`ItemIdentifier`.`Value`, `ItemPerformance`.`Period`.`Begin`, "
|
||||
+ "`ItemPerformance`.`Instance`.`MetricType`, `ItemPerformance`.`Instance`.`Count` "
|
||||
+ "FROM " + ConnectDB.getUsageStatsDBSchema() + ".sarc_sushilogtmp_json_non_array";
|
||||
stmt.executeUpdate(insert_sarc_sushilogtmp);
|
||||
logger.info("Inserted to sarc_sushilogtmp table (sarc_sushilogtmp_json_non_array)");
|
||||
|
||||
ConnectDB.getHiveConnection().close();
|
||||
}
|
||||
|
||||
public void getAndProcessSarc(String sarcsReportPathArray, String sarcsReportPathNonArray) throws Exception {
|
||||
|
||||
Statement stmt = ConnectDB.getHiveConnection().createStatement();
|
||||
ConnectDB.getHiveConnection().setAutoCommit(false);
|
||||
|
||||
logger.info("Creating sushilog table");
|
||||
String createSushilog = "CREATE TABLE IF NOT EXISTS " + ConnectDB.getUsageStatsDBSchema()
|
||||
+ ".sushilog "
|
||||
+ "(`source` string, "
|
||||
+ "`repository` string, "
|
||||
+ "`rid` string, "
|
||||
+ "`date` string, "
|
||||
+ "`metric_type` string, "
|
||||
+ "`count` int)";
|
||||
stmt.executeUpdate(createSushilog);
|
||||
logger.info("Created sushilog table");
|
||||
|
||||
logger.info("Dropping sarc_sushilogtmp table");
|
||||
String drop_sarc_sushilogtmp = "DROP TABLE IF EXISTS "
|
||||
+ ConnectDB.getUsageStatsDBSchema()
|
||||
+ ".sarc_sushilogtmp";
|
||||
stmt.executeUpdate(drop_sarc_sushilogtmp);
|
||||
logger.info("Dropped sarc_sushilogtmp table");
|
||||
ConnectDB.getHiveConnection().close();
|
||||
|
||||
List<String[]> issnAndUrls = new ArrayList<String[]>();
|
||||
issnAndUrls.add(new String[]{
|
||||
"https://revistas.rcaap.pt/motricidade/sushiLite/v1_7/", "1646-107X"
|
||||
});
|
||||
issnAndUrls.add(new String[]{
|
||||
"https://revistas.rcaap.pt/antropologicas/sushiLite/v1_7/", "0873-819X"
|
||||
});
|
||||
issnAndUrls.add(new String[]{
|
||||
"https://revistas.rcaap.pt/interaccoes/sushiLite/v1_7/", "1646-2335"
|
||||
});
|
||||
issnAndUrls.add(new String[]{
|
||||
"https://revistas.rcaap.pt/cct/sushiLite/v1_7/", "2182-3030"
|
||||
});
|
||||
issnAndUrls.add(new String[]{
|
||||
"https://actapediatrica.spp.pt/sushiLite/v1_7/", "0873-9781"
|
||||
});
|
||||
issnAndUrls.add(new String[]{
|
||||
"https://revistas.rcaap.pt/sociologiapp/sushiLite/v1_7/", "0873-6529"
|
||||
});
|
||||
issnAndUrls.add(new String[]{
|
||||
"https://revistas.rcaap.pt/finisterra/sushiLite/v1_7/", "0430-5027"
|
||||
});
|
||||
issnAndUrls.add(new String[]{
|
||||
"https://revistas.rcaap.pt/sisyphus/sushiLite/v1_7/", "2182-8474"
|
||||
});
|
||||
issnAndUrls.add(new String[]{
|
||||
"https://revistas.rcaap.pt/anestesiologia/sushiLite/v1_7/", "0871-6099"
|
||||
});
|
||||
issnAndUrls.add(new String[]{
|
||||
"https://revistas.rcaap.pt/rpe/sushiLite/v1_7/", "0871-9187"
|
||||
});
|
||||
issnAndUrls.add(new String[]{
|
||||
"https://revistas.rcaap.pt/psilogos/sushiLite/v1_7/", "1646-091X"
|
||||
});
|
||||
issnAndUrls.add(new String[]{
|
||||
"https://revistas.rcaap.pt/juridica/sushiLite/v1_7/", "2183-5799"
|
||||
});
|
||||
issnAndUrls.add(new String[]{
|
||||
"https://revistas.rcaap.pt/ecr/sushiLite/v1_7/", "1647-2098"
|
||||
});
|
||||
issnAndUrls.add(new String[]{
|
||||
"https://revistas.rcaap.pt/nascercrescer/sushiLite/v1_7/", "0872-0754"
|
||||
});
|
||||
issnAndUrls.add(new String[]{
|
||||
"https://revistas.rcaap.pt/cea/sushiLite/v1_7/", "1645-3794"
|
||||
});
|
||||
issnAndUrls.add(new String[]{
|
||||
"https://revistas.rcaap.pt/proelium/sushiLite/v1_7/", "1645-8826"
|
||||
});
|
||||
issnAndUrls.add(new String[]{
|
||||
"https://revistas.rcaap.pt/millenium/sushiLite/v1_7/", "0873-3015"
|
||||
});
|
||||
|
||||
if (ExecuteWorkflow.sarcNumberOfIssnToDownload > 0
|
||||
&& ExecuteWorkflow.sarcNumberOfIssnToDownload <= issnAndUrls.size()) {
|
||||
logger.info("Trimming siteIds list to the size of: " + ExecuteWorkflow.sarcNumberOfIssnToDownload);
|
||||
issnAndUrls = issnAndUrls.subList(0, ExecuteWorkflow.sarcNumberOfIssnToDownload);
|
||||
}
|
||||
|
||||
logger.info("(getAndProcessSarc) Downloading the followins opendoars: " + issnAndUrls);
|
||||
|
||||
for (String[] issnAndUrl : issnAndUrls) {
|
||||
logger.info("Now working on ISSN: " + issnAndUrl[1]);
|
||||
getARReport(sarcsReportPathArray, sarcsReportPathNonArray, issnAndUrl[0], issnAndUrl[1]);
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
public void finalizeSarcStats() throws Exception {
|
||||
stmtHive = ConnectDB.getHiveConnection().createStatement();
|
||||
ConnectDB.getHiveConnection().setAutoCommit(false);
|
||||
stmtImpala = ConnectDB.getImpalaConnection().createStatement();
|
||||
|
||||
logger.info("Creating downloads_stats table_tmp");
|
||||
String createDownloadsStats = "CREATE TABLE IF NOT EXISTS " + ConnectDB.getUsageStatsDBSchema()
|
||||
+ ".downloads_stats_tmp "
|
||||
+ "(`source` string, "
|
||||
+ "`repository_id` string, "
|
||||
+ "`result_id` string, "
|
||||
+ "`date` string, "
|
||||
+ "`count` bigint, "
|
||||
+ "`openaire` bigint)";
|
||||
stmtHive.executeUpdate(createDownloadsStats);
|
||||
logger.info("Created downloads_stats_tmp table");
|
||||
|
||||
logger.info("Dropping sarc_sushilogtmp_impala table");
|
||||
String drop_sarc_sushilogtmp_impala = "DROP TABLE IF EXISTS "
|
||||
+ ConnectDB.getUsageStatsDBSchema()
|
||||
+ ".sarc_sushilogtmp_impala";
|
||||
stmtHive.executeUpdate(drop_sarc_sushilogtmp_impala);
|
||||
logger.info("Dropped sarc_sushilogtmp_impala table");
|
||||
|
||||
logger.info("Creating sarc_sushilogtmp_impala, a table readable by impala");
|
||||
String createSarcSushilogtmpImpala = "CREATE TABLE IF NOT EXISTS " + ConnectDB.getUsageStatsDBSchema()
|
||||
+ ".sarc_sushilogtmp_impala "
|
||||
+ "STORED AS PARQUET AS SELECT * FROM " + ConnectDB.getUsageStatsDBSchema() + ".sarc_sushilogtmp";
|
||||
stmtHive.executeUpdate(createSarcSushilogtmpImpala);
|
||||
logger.info("Created sarc_sushilogtmp_impala");
|
||||
|
||||
logger.info("Making sarc_sushilogtmp visible to impala");
|
||||
String invalidateMetadata = "INVALIDATE METADATA " + ConnectDB.getUsageStatsDBSchema()
|
||||
+ ".sarc_sushilogtmp_impala;";
|
||||
stmtImpala.executeUpdate(invalidateMetadata);
|
||||
|
||||
logger.info("Dropping downloads_stats_impala table");
|
||||
String drop_downloads_stats_impala = "DROP TABLE IF EXISTS "
|
||||
+ ConnectDB.getUsageStatsDBSchema()
|
||||
+ ".downloads_stats_impala";
|
||||
stmtHive.executeUpdate(drop_downloads_stats_impala);
|
||||
logger.info("Dropped downloads_stats_impala table");
|
||||
|
||||
logger.info("Making downloads_stats_impala deletion visible to impala");
|
||||
try {
|
||||
String invalidateMetadataDownloadsStatsImpala = "INVALIDATE METADATA " + ConnectDB.getUsageStatsDBSchema()
|
||||
+ ".downloads_stats_impala;";
|
||||
stmtImpala.executeUpdate(invalidateMetadataDownloadsStatsImpala);
|
||||
} catch (SQLException sqle) {
|
||||
}
|
||||
|
||||
// We run the following query in Impala because it is faster
|
||||
logger.info("Creating downloads_stats_impala");
|
||||
String createDownloadsStatsImpala = "CREATE TABLE " + ConnectDB.getUsageStatsDBSchema()
|
||||
+ ".downloads_stats_impala AS "
|
||||
+ "SELECT s.source, d.id AS repository_id, "
|
||||
+ "ro.id as result_id, CONCAT(CAST(YEAR(`date`) AS STRING), '/', "
|
||||
+ "LPAD(CAST(MONTH(`date`) AS STRING), 2, '0')) AS `date`, s.count, '0' "
|
||||
+ "FROM " + ConnectDB.getUsageStatsDBSchema() + ".sarc_sushilogtmp_impala s, "
|
||||
+ ConnectDB.getStatsDBSchema() + ".datasource_oids d, "
|
||||
+ ConnectDB.getStatsDBSchema() + ".result_pids ro "
|
||||
+ "WHERE d.oid LIKE CONCAT('%', s.repository, '%') AND d.id like CONCAT('%', 'sarcservicod', '%') "
|
||||
+ "AND s.rid=ro.pid AND ro.type='Digital Object Identifier' AND s.metric_type='ft_total' AND s.source='SARC-OJS'";
|
||||
stmtImpala.executeUpdate(createDownloadsStatsImpala);
|
||||
logger.info("Creating downloads_stats_impala");
|
||||
|
||||
// Insert into downloads_stats
|
||||
logger.info("Inserting data from downloads_stats_impala into downloads_stats_tmp");
|
||||
String insertDStats = "INSERT INTO " + ConnectDB.getUsageStatsDBSchema()
|
||||
+ ".downloads_stats_tmp SELECT * "
|
||||
+ "FROM " + ConnectDB.getUsageStatsDBSchema() + ".downloads_stats_impala";
|
||||
stmtHive.executeUpdate(insertDStats);
|
||||
logger.info("Inserted into downloads_stats_tmp");
|
||||
|
||||
logger.info("Creating sushilog table");
|
||||
String createSushilog = "CREATE TABLE IF NOT EXISTS " + ConnectDB.getUsageStatsDBSchema()
|
||||
+ ".sushilog "
|
||||
+ "(`source` string, "
|
||||
+ "`repository_id` string, "
|
||||
+ "`rid` string, "
|
||||
+ "`date` string, "
|
||||
+ "`metric_type` string, "
|
||||
+ "`count` int)";
|
||||
stmtHive.executeUpdate(createSushilog);
|
||||
logger.info("Created sushilog table");
|
||||
|
||||
// Insert into sushilog
|
||||
logger.info("Inserting into sushilog");
|
||||
String insertSushiLog = "INSERT INTO " + ConnectDB.getUsageStatsDBSchema()
|
||||
+ ".sushilog SELECT * " + "FROM " + ConnectDB.getUsageStatsDBSchema() + ".sarc_sushilogtmp";
|
||||
stmtHive.executeUpdate(insertSushiLog);
|
||||
logger.info("Inserted into sushilog");
|
||||
|
||||
stmtHive.close();
|
||||
ConnectDB.getHiveConnection().close();
|
||||
}
|
||||
|
||||
public void getARReport(String sarcsReportPathArray, String sarcsReportPathNonArray,
|
||||
String url, String issn) throws Exception {
|
||||
logger.info("Processing SARC! issn: " + issn + " with url: " + url);
|
||||
ConnectDB.getHiveConnection().setAutoCommit(false);
|
||||
|
||||
SimpleDateFormat simpleDateFormat = new SimpleDateFormat("YYYY-MM");
|
||||
// Setting the starting period
|
||||
Calendar start = (Calendar) ExecuteWorkflow.startingLogPeriod.clone();
|
||||
logger.info("(getARReport) Starting period for log download: " + simpleDateFormat.format(start.getTime()));
|
||||
|
||||
// Setting the ending period (last day of the month)
|
||||
Calendar end = (Calendar) ExecuteWorkflow.endingLogPeriod.clone();
|
||||
end.add(Calendar.MONTH, +1);
|
||||
end.add(Calendar.DAY_OF_MONTH, -1);
|
||||
logger.info("(getARReport) Ending period for log download: " + simpleDateFormat.format(end.getTime()));
|
||||
|
||||
SimpleDateFormat sdf = new SimpleDateFormat("yyyy-MM-dd");
|
||||
PreparedStatement st = ConnectDB
|
||||
.getHiveConnection()
|
||||
.prepareStatement(
|
||||
"SELECT max(date) FROM " + ConnectDB.getUsageStatsDBSchema() + ".sushilog WHERE repository=?");
|
||||
st.setString(1, issn);
|
||||
ResultSet rs_date = st.executeQuery();
|
||||
Date dateMax = null;
|
||||
while (rs_date.next()) {
|
||||
if (rs_date.getString(1) != null && !rs_date.getString(1).equals("null")
|
||||
&& !rs_date.getString(1).equals("")) {
|
||||
start.setTime(sdf.parse(rs_date.getString(1)));
|
||||
dateMax = sdf.parse(rs_date.getString(1));
|
||||
}
|
||||
}
|
||||
rs_date.close();
|
||||
|
||||
// Creating the needed configuration for the correct storing of data
|
||||
Configuration config = new Configuration();
|
||||
config.addResource(new Path("/etc/hadoop/conf/core-site.xml"));
|
||||
config.addResource(new Path("/etc/hadoop/conf/hdfs-site.xml"));
|
||||
config
|
||||
.set(
|
||||
"fs.hdfs.impl",
|
||||
org.apache.hadoop.hdfs.DistributedFileSystem.class.getName());
|
||||
config
|
||||
.set(
|
||||
"fs.file.impl",
|
||||
org.apache.hadoop.fs.LocalFileSystem.class.getName());
|
||||
FileSystem dfs = FileSystem.get(config);
|
||||
|
||||
if (dateMax != null && start.getTime().compareTo(dateMax) <= 0) {
|
||||
logger.info("Date found in logs " + dateMax + " and not downloanding logs for " + issn);
|
||||
} else {
|
||||
|
||||
while (start.before(end)) {
|
||||
String reportUrl = url + "GetReport/?Report=AR1&Format=json&BeginDate="
|
||||
+ simpleDateFormat.format(start.getTime()) + "&EndDate=" + simpleDateFormat.format(start.getTime());
|
||||
start.add(Calendar.MONTH, 1);
|
||||
|
||||
logger.info("(getARReport) Getting report: " + reportUrl);
|
||||
String text = getJson(reportUrl);
|
||||
if (text == null) {
|
||||
continue;
|
||||
}
|
||||
|
||||
JSONParser parser = new JSONParser();
|
||||
JSONObject jsonObject = null;
|
||||
try {
|
||||
jsonObject = (JSONObject) parser.parse(text);
|
||||
} // if there is a parsing error continue with the next url
|
||||
catch (ParseException pe) {
|
||||
continue;
|
||||
}
|
||||
|
||||
jsonObject = (JSONObject) jsonObject.get("sc:ReportResponse");
|
||||
jsonObject = (JSONObject) jsonObject.get("sc:Report");
|
||||
if (jsonObject == null) {
|
||||
continue;
|
||||
}
|
||||
jsonObject = (JSONObject) jsonObject.get("c:Report");
|
||||
jsonObject = (JSONObject) jsonObject.get("c:Customer");
|
||||
Object obj = jsonObject.get("c:ReportItems");
|
||||
JSONArray jsonArray = new JSONArray();
|
||||
if (obj instanceof JSONObject) {
|
||||
jsonArray.add(obj);
|
||||
} else {
|
||||
jsonArray = (JSONArray) obj;
|
||||
// jsonArray = (JSONArray) jsonObject.get("c:ReportItems");
|
||||
}
|
||||
if (jsonArray == null) {
|
||||
continue;
|
||||
}
|
||||
|
||||
// Creating the file in the filesystem for the ItemIdentifier as array object
|
||||
String filePathArray = sarcsReportPathArray + "/SarcsARReport_" + issn + "_"
|
||||
+ simpleDateFormat.format(start.getTime()) + ".json";
|
||||
logger.info("Storing to file: " + filePathArray);
|
||||
FSDataOutputStream finArray = dfs.create(new Path(filePathArray), true);
|
||||
|
||||
// Creating the file in the filesystem for the ItemIdentifier as array object
|
||||
String filePathNonArray = sarcsReportPathNonArray + "/SarcsARReport_" + issn + "_"
|
||||
+ simpleDateFormat.format(start.getTime()) + ".json";
|
||||
logger.info("Storing to file: " + filePathNonArray);
|
||||
FSDataOutputStream finNonArray = dfs.create(new Path(filePathNonArray), true);
|
||||
|
||||
for (Object aJsonArray : jsonArray) {
|
||||
|
||||
JSONObject jsonObjectRow = (JSONObject) aJsonArray;
|
||||
renameKeysRecursively(":", jsonObjectRow);
|
||||
|
||||
if (jsonObjectRow.get("ItemIdentifier") instanceof JSONObject) {
|
||||
finNonArray.write(jsonObjectRow.toJSONString().getBytes());
|
||||
finNonArray.writeChar('\n');
|
||||
} else {
|
||||
finArray.write(jsonObjectRow.toJSONString().getBytes());
|
||||
finArray.writeChar('\n');
|
||||
}
|
||||
}
|
||||
|
||||
finArray.close();
|
||||
finNonArray.close();
|
||||
|
||||
// Check the file size and if it is too big, delete it
|
||||
File fileArray = new File(filePathArray);
|
||||
if (fileArray.length() == 0)
|
||||
fileArray.delete();
|
||||
File fileNonArray = new File(filePathNonArray);
|
||||
if (fileNonArray.length() == 0)
|
||||
fileNonArray.delete();
|
||||
|
||||
}
|
||||
|
||||
dfs.close();
|
||||
}
|
||||
//ConnectDB.getHiveConnection().close();
|
||||
}
|
||||
|
||||
private void renameKeysRecursively(String delimiter, JSONArray givenJsonObj) throws Exception {
|
||||
for (Object jjval : givenJsonObj) {
|
||||
if (jjval instanceof JSONArray) {
|
||||
renameKeysRecursively(delimiter, (JSONArray) jjval);
|
||||
} else if (jjval instanceof JSONObject) {
|
||||
renameKeysRecursively(delimiter, (JSONObject) jjval);
|
||||
} // All other types of vals
|
||||
else
|
||||
;
|
||||
}
|
||||
}
|
||||
|
||||
private void renameKeysRecursively(String delimiter, JSONObject givenJsonObj) throws Exception {
|
||||
Set<String> jkeys = new HashSet<String>(givenJsonObj.keySet());
|
||||
for (String jkey : jkeys) {
|
||||
|
||||
String[] splitArray = jkey.split(delimiter);
|
||||
String newJkey = splitArray[splitArray.length - 1];
|
||||
|
||||
Object jval = givenJsonObj.get(jkey);
|
||||
givenJsonObj.remove(jkey);
|
||||
givenJsonObj.put(newJkey, jval);
|
||||
|
||||
if (jval instanceof JSONObject) {
|
||||
renameKeysRecursively(delimiter, (JSONObject) jval);
|
||||
}
|
||||
|
||||
if (jval instanceof JSONArray) {
|
||||
renameKeysRecursively(delimiter, (JSONArray) jval);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
private String getJson(String url) throws Exception {
|
||||
// String cred=username+":"+password;
|
||||
// String encoded = new sun.misc.BASE64Encoder().encode (cred.getBytes());
|
||||
try {
|
||||
URL website = new URL(url);
|
||||
URLConnection connection = website.openConnection();
|
||||
// connection.setRequestProperty ("Authorization", "Basic "+encoded);
|
||||
StringBuilder response;
|
||||
try (BufferedReader in = new BufferedReader(new InputStreamReader(connection.getInputStream()))) {
|
||||
response = new StringBuilder();
|
||||
String inputLine;
|
||||
while ((inputLine = in.readLine()) != null) {
|
||||
response.append(inputLine);
|
||||
response.append("\n");
|
||||
}
|
||||
}
|
||||
return response.toString();
|
||||
} catch (Exception e) {
|
||||
|
||||
// Logging error and silently continuing
|
||||
logger.error("Failed to get URL: " + e);
|
||||
System.out.println("Failed to get URL: " + e);
|
||||
// return null;
|
||||
// throw new Exception("Failed to get URL: " + e.toString(), e);
|
||||
}
|
||||
return "";
|
||||
}
|
||||
}
|
|
@ -1,179 +0,0 @@
|
|||
|
||||
package eu.dnetlib.oa.graph.usagestats.export;
|
||||
|
||||
import java.io.IOException;
|
||||
import java.sql.SQLException;
|
||||
import java.sql.Statement;
|
||||
|
||||
import org.apache.hadoop.conf.Configuration;
|
||||
import org.apache.hadoop.fs.FileSystem;
|
||||
import org.apache.hadoop.fs.Path;
|
||||
import org.slf4j.Logger;
|
||||
import org.slf4j.LoggerFactory;
|
||||
|
||||
/**
|
||||
* Main class for downloading and processing Usage statistics
|
||||
*
|
||||
* @author D. Pierrakos, S. Zoupanos
|
||||
*/
|
||||
public class UsageStatsExporter {
|
||||
|
||||
public UsageStatsExporter() {
|
||||
|
||||
}
|
||||
|
||||
private static final Logger logger = LoggerFactory.getLogger(UsageStatsExporter.class);
|
||||
|
||||
private void reCreateLogDirs() throws IllegalArgumentException, IOException {
|
||||
FileSystem dfs = FileSystem.get(new Configuration());
|
||||
|
||||
logger.info("Deleting repoLog directory: " + ExecuteWorkflow.repoLogPath);
|
||||
dfs.delete(new Path(ExecuteWorkflow.repoLogPath), true);
|
||||
|
||||
logger.info("Deleting portalLog directory: " + ExecuteWorkflow.portalLogPath);
|
||||
dfs.delete(new Path(ExecuteWorkflow.portalLogPath), true);
|
||||
|
||||
logger.info("Deleting lareferenciaLog directory: " + ExecuteWorkflow.lareferenciaLogPath);
|
||||
dfs.delete(new Path(ExecuteWorkflow.lareferenciaLogPath), true);
|
||||
|
||||
logger.info("Creating repoLog directory: " + ExecuteWorkflow.repoLogPath);
|
||||
dfs.mkdirs(new Path(ExecuteWorkflow.repoLogPath));
|
||||
|
||||
logger.info("Creating portalLog directory: " + ExecuteWorkflow.portalLogPath);
|
||||
dfs.mkdirs(new Path(ExecuteWorkflow.portalLogPath));
|
||||
|
||||
logger.info("Creating lareferenciaLog directory: " + ExecuteWorkflow.lareferenciaLogPath);
|
||||
dfs.mkdirs(new Path(ExecuteWorkflow.lareferenciaLogPath));
|
||||
}
|
||||
|
||||
public void export() throws Exception {
|
||||
|
||||
logger.info("Initialising DB properties");
|
||||
ConnectDB.init();
|
||||
|
||||
// runImpalaQuery();
|
||||
|
||||
PiwikStatsDB piwikstatsdb = new PiwikStatsDB(ExecuteWorkflow.repoLogPath, ExecuteWorkflow.portalLogPath);
|
||||
|
||||
logger.info("Re-creating database and tables");
|
||||
if (ExecuteWorkflow.recreateDbAndTables)
|
||||
piwikstatsdb.recreateDBAndTables();
|
||||
;
|
||||
|
||||
logger.info("Initializing the download logs module");
|
||||
PiwikDownloadLogs piwd = new PiwikDownloadLogs(ExecuteWorkflow.matomoBaseURL, ExecuteWorkflow.matomoAuthToken);
|
||||
|
||||
if (ExecuteWorkflow.piwikEmptyDirs) {
|
||||
logger.info("Recreating Piwik log directories");
|
||||
piwikstatsdb.reCreateLogDirs();
|
||||
}
|
||||
|
||||
// Downloading piwik logs (also managing directory creation)
|
||||
if (ExecuteWorkflow.downloadPiwikLogs) {
|
||||
logger.info("Downloading piwik logs");
|
||||
piwd
|
||||
.GetOpenAIRELogs(
|
||||
ExecuteWorkflow.repoLogPath,
|
||||
ExecuteWorkflow.portalLogPath, ExecuteWorkflow.portalMatomoID);
|
||||
}
|
||||
logger.info("Downloaded piwik logs");
|
||||
|
||||
// Create DB tables, insert/update statistics
|
||||
String cRobotsUrl = "https://raw.githubusercontent.com/atmire/COUNTER-Robots/master/COUNTER_Robots_list.json";
|
||||
piwikstatsdb.setCounterRobotsURL(cRobotsUrl);
|
||||
|
||||
if (ExecuteWorkflow.processPiwikLogs) {
|
||||
logger.info("Processing logs");
|
||||
piwikstatsdb.processLogs();
|
||||
}
|
||||
|
||||
logger.info("Creating LaReferencia tables");
|
||||
LaReferenciaDownloadLogs lrf = new LaReferenciaDownloadLogs(ExecuteWorkflow.lareferenciaBaseURL,
|
||||
ExecuteWorkflow.lareferenciaAuthToken);
|
||||
|
||||
if (ExecuteWorkflow.laReferenciaEmptyDirs) {
|
||||
logger.info("Recreating LaReferencia log directories");
|
||||
lrf.reCreateLogDirs();
|
||||
}
|
||||
|
||||
if (ExecuteWorkflow.downloadLaReferenciaLogs) {
|
||||
logger.info("Downloading LaReferencia logs");
|
||||
lrf.GetLaReferenciaRepos(ExecuteWorkflow.lareferenciaLogPath);
|
||||
logger.info("Downloaded LaReferencia logs");
|
||||
}
|
||||
LaReferenciaStats lastats = new LaReferenciaStats(ExecuteWorkflow.lareferenciaLogPath);
|
||||
|
||||
if (ExecuteWorkflow.processLaReferenciaLogs) {
|
||||
logger.info("Processing LaReferencia logs");
|
||||
lastats.processLogs();
|
||||
logger.info("LaReferencia logs done");
|
||||
}
|
||||
|
||||
IrusStats irusstats = new IrusStats(ExecuteWorkflow.irusUKBaseURL);
|
||||
if (ExecuteWorkflow.irusCreateTablesEmptyDirs) {
|
||||
logger.info("Creating Irus Stats tables");
|
||||
irusstats.createTables();
|
||||
logger.info("Created Irus Stats tables");
|
||||
|
||||
logger.info("Re-create log dirs");
|
||||
irusstats.reCreateLogDirs();
|
||||
logger.info("Re-created log dirs");
|
||||
}
|
||||
|
||||
if (ExecuteWorkflow.irusDownloadReports) {
|
||||
irusstats.getIrusRRReport(ExecuteWorkflow.irusUKReportPath);
|
||||
}
|
||||
if (ExecuteWorkflow.irusProcessStats) {
|
||||
irusstats.processIrusStats();
|
||||
logger.info("Irus done");
|
||||
}
|
||||
|
||||
SarcStats sarcStats = new SarcStats();
|
||||
if (ExecuteWorkflow.sarcCreateTablesEmptyDirs) {
|
||||
sarcStats.reCreateLogDirs();
|
||||
}
|
||||
if (ExecuteWorkflow.sarcDownloadReports) {
|
||||
sarcStats.getAndProcessSarc(ExecuteWorkflow.sarcsReportPathArray, ExecuteWorkflow.sarcsReportPathNonArray);
|
||||
}
|
||||
if (ExecuteWorkflow.sarcProcessStats) {
|
||||
sarcStats.processSarc(ExecuteWorkflow.sarcsReportPathArray, ExecuteWorkflow.sarcsReportPathNonArray);
|
||||
sarcStats.finalizeSarcStats();
|
||||
}
|
||||
logger.info("Sarc done");
|
||||
|
||||
// finalize usagestats
|
||||
if (ExecuteWorkflow.finalizeStats) {
|
||||
piwikstatsdb.finalizeStats();
|
||||
logger.info("Finalized stats");
|
||||
}
|
||||
|
||||
// Make the tables available to Impala
|
||||
if (ExecuteWorkflow.finalTablesVisibleToImpala) {
|
||||
logger.info("Making tables visible to Impala");
|
||||
invalidateMetadata();
|
||||
}
|
||||
|
||||
logger.info("End");
|
||||
}
|
||||
|
||||
private void invalidateMetadata() throws SQLException {
|
||||
Statement stmt = null;
|
||||
|
||||
stmt = ConnectDB.getImpalaConnection().createStatement();
|
||||
|
||||
String sql = "INVALIDATE METADATA " + ConnectDB.getUsageStatsDBSchema() + ".downloads_stats";
|
||||
stmt.executeUpdate(sql);
|
||||
|
||||
sql = "INVALIDATE METADATA " + ConnectDB.getUsageStatsDBSchema() + ".views_stats";
|
||||
stmt.executeUpdate(sql);
|
||||
|
||||
sql = "INVALIDATE METADATA " + ConnectDB.getUsageStatsDBSchema() + ".usage_stats";
|
||||
stmt.executeUpdate(sql);
|
||||
|
||||
sql = "INVALIDATE METADATA " + ConnectDB.getUsageStatsDBSchema() + ".pageviews_stats";
|
||||
stmt.executeUpdate(sql);
|
||||
|
||||
stmt.close();
|
||||
ConnectDB.getHiveConnection().close();
|
||||
}
|
||||
}
|
|
@ -1,231 +0,0 @@
|
|||
[
|
||||
{
|
||||
"paramName": "mat",
|
||||
"paramLongName": "matomoAuthToken",
|
||||
"paramDescription": "when true will stop SparkSession after job execution",
|
||||
"paramRequired": false
|
||||
},
|
||||
{
|
||||
"paramName": "mbu",
|
||||
"paramLongName": "matomoBaseURL",
|
||||
"paramDescription": "URL of the isLookUp Service",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "rlp",
|
||||
"paramLongName": "repoLogPath",
|
||||
"paramDescription": "nameNode of the source cluster",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "plp",
|
||||
"paramLongName": "portalLogPath",
|
||||
"paramDescription": "namoNode of the target cluster",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "pmi",
|
||||
"paramLongName": "portalMatomoID",
|
||||
"paramDescription": "namoNode of the target cluster",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "iukbuw",
|
||||
"paramLongName": "irusUKBaseURL",
|
||||
"paramDescription": "working directory",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "iukrp",
|
||||
"paramLongName": "irusUKReportPath",
|
||||
"paramDescription": "maximum number of map tasks used in the distcp process",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "srpa",
|
||||
"paramLongName": "sarcsReportPathArray",
|
||||
"paramDescription": "memory for distcp action copying actionsets from remote cluster",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "srpna",
|
||||
"paramLongName": "sarcsReportPathNonArray",
|
||||
"paramDescription": "timeout for distcp copying actions from remote cluster",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "llp",
|
||||
"paramLongName": "lareferenciaLogPath",
|
||||
"paramDescription": "activate tranform-only mode. Only apply transformation step",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "lbu",
|
||||
"paramLongName": "lareferenciaBaseURL",
|
||||
"paramDescription": "activate tranform-only mode. Only apply transformation step",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "lat",
|
||||
"paramLongName": "lareferenciaAuthToken",
|
||||
"paramDescription": "activate tranform-only mode. Only apply transformation step",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "dbhu",
|
||||
"paramLongName": "dbHiveUrl",
|
||||
"paramDescription": "activate tranform-only mode. Only apply transformation step",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "dbiu",
|
||||
"paramLongName": "dbImpalaUrl",
|
||||
"paramDescription": "activate tranform-only mode. Only apply transformation step",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "usdbs",
|
||||
"paramLongName": "usageStatsDBSchema",
|
||||
"paramDescription": "activate tranform-only mode. Only apply transformation step",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "sdbs",
|
||||
"paramLongName": "statsDBSchema",
|
||||
"paramDescription": "activate tranform-only mode. Only apply transformation step",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "rdbt",
|
||||
"paramLongName": "recreateDbAndTables",
|
||||
"paramDescription": "Re-create database and initial tables?",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "pwed",
|
||||
"paramLongName": "piwikEmptyDirs",
|
||||
"paramDescription": "Empty piwik directories?",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "ppwl",
|
||||
"paramLongName": "processPiwikLogs",
|
||||
"paramDescription": "Process the piwiklogs (create & fill in the needed tables and process the data) based on the downloaded data",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "dpwl",
|
||||
"paramLongName": "downloadPiwikLogs",
|
||||
"paramDescription": "download piwik logs?",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "slp",
|
||||
"paramLongName": "startingLogPeriod",
|
||||
"paramDescription": "Starting log period",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "elp",
|
||||
"paramLongName": "endingLogPeriod",
|
||||
"paramDescription": "Ending log period",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "npidd",
|
||||
"paramLongName": "numberOfPiwikIdsToDownload",
|
||||
"paramDescription": "Limit the number of the downloaded piwikids to the first numberOfPiwikIdsToDownload",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "nsidd",
|
||||
"paramLongName": "numberOfSiteIdsToDownload",
|
||||
"paramDescription": "Limit the number of the downloaded siteids (La Referencia logs) to the first numberOfSiteIdsToDownload",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "lerd",
|
||||
"paramLongName": "laReferenciaEmptyDirs",
|
||||
"paramDescription": "Empty LaReferencia directories?",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "plrl",
|
||||
"paramLongName": "processLaReferenciaLogs",
|
||||
"paramDescription": "Process the La Referencia logs (create & fill in the needed tables and process the data) based on the downloaded data",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "dlrl",
|
||||
"paramLongName": "downloadLaReferenciaLogs",
|
||||
"paramDescription": "download La Referencia logs?",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "icted",
|
||||
"paramLongName": "irusCreateTablesEmptyDirs",
|
||||
"paramDescription": "Irus section: Create tables and empty JSON directories?",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "idr",
|
||||
"paramLongName": "irusDownloadReports",
|
||||
"paramDescription": "Irus section: Download reports?",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "ipr",
|
||||
"paramLongName": "irusProcessStats",
|
||||
"paramDescription": "Irus section: Process stats?",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "inod",
|
||||
"paramLongName": "irusNumberOfOpendoarsToDownload",
|
||||
"paramDescription": "Limit the number of the downloaded Opendoars (Irus) to the first irusNumberOfOpendoarsToDownload",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "icted",
|
||||
"paramLongName": "sarcCreateTablesEmptyDirs",
|
||||
"paramDescription": "Sarc section: Create tables and empty JSON directories?",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "idr",
|
||||
"paramLongName": "sarcDownloadReports",
|
||||
"paramDescription": "Sarc section: Download reports?",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "ipr",
|
||||
"paramLongName": "sarcProcessStats",
|
||||
"paramDescription": "Sarc section: Process stats?",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "inod",
|
||||
"paramLongName": "sarcNumberOfIssnToDownload",
|
||||
"paramDescription": "Limit the number of the downloaded ISSN (Sarc) to the first sarcNumberOfIssnToDownload",
|
||||
"paramRequired": true
|
||||
},
|
||||
|
||||
{
|
||||
"paramName": "fs",
|
||||
"paramLongName": "finalizeStats",
|
||||
"paramDescription": "Create the usage_stats table?",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "ftvi",
|
||||
"paramLongName": "finalTablesVisibleToImpala",
|
||||
"paramDescription": "Make the usage_stats, views_stats and downloads_stats tables visible to Impala",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "nodt",
|
||||
"paramLongName": "numberOfDownloadThreads",
|
||||
"paramDescription": "Number of download threads",
|
||||
"paramRequired": true
|
||||
}
|
||||
]
|
|
@ -1,38 +0,0 @@
|
|||
<configuration>
|
||||
<property>
|
||||
<name>jobTracker</name>
|
||||
<value>${jobTracker}</value>
|
||||
</property>
|
||||
<property>
|
||||
<name>nameNode</name>
|
||||
<value>${nameNode}</value>
|
||||
</property>
|
||||
<property>
|
||||
<name>oozie.use.system.libpath</name>
|
||||
<value>true</value>
|
||||
</property>
|
||||
<property>
|
||||
<name>oozie.action.sharelib.for.spark</name>
|
||||
<value>spark2</value>
|
||||
</property>
|
||||
<property>
|
||||
<name>hiveMetastoreUris</name>
|
||||
<value>thrift://iis-cdh5-test-m3.ocean.icm.edu.pl:9083</value>
|
||||
</property>
|
||||
<property>
|
||||
<name>hiveJdbcUrl</name>
|
||||
<value>jdbc:hive2://iis-cdh5-test-m3.ocean.icm.edu.pl:10000/;UseNativeQuery=1</value>
|
||||
</property>
|
||||
<property>
|
||||
<name>impalaJdbcUrl</name>
|
||||
<value>jdbc:hive2://iis-cdh5-test-gw.ocean.icm.edu.pl:21050/;auth=noSasl;</value>
|
||||
</property>
|
||||
<property>
|
||||
<name>oozie.wf.workflow.notification.url</name>
|
||||
<value>{serviceUrl}/v1/oozieNotification/jobUpdate?jobId=$jobId%26status=$status</value>
|
||||
</property>
|
||||
<property>
|
||||
<name>oozie.use.system.libpath</name>
|
||||
<value>true</value>
|
||||
</property>
|
||||
</configuration>
|
|
@ -1,90 +0,0 @@
|
|||
<workflow-app name="Usage Graph Stats" xmlns="uri:oozie:workflow:0.5">
|
||||
<parameters>
|
||||
<property>
|
||||
<name>hiveMetastoreUris</name>
|
||||
<description>Hive server metastore URIs</description>
|
||||
</property>
|
||||
<property>
|
||||
<name>hiveJdbcUrl</name>
|
||||
<description>Hive server jdbc url</description>
|
||||
</property>
|
||||
<property>
|
||||
<name>impalaJdbcUrl</name>
|
||||
<description>Impala server jdbc url</description>
|
||||
</property>
|
||||
</parameters>
|
||||
|
||||
<global>
|
||||
<job-tracker>${jobTracker}</job-tracker>
|
||||
<name-node>${nameNode}</name-node>
|
||||
<configuration>
|
||||
<property>
|
||||
<name>hive.metastore.uris</name>
|
||||
<value>${hiveMetastoreUris}</value>
|
||||
</property>
|
||||
<property>
|
||||
<name>mapreduce.job.queuename</name>
|
||||
<value>${queueName}</value>
|
||||
</property>
|
||||
<property>
|
||||
<name>oozie.launcher.mapred.job.queue.name</name>
|
||||
<value>${oozieLauncherQueueName}</value>
|
||||
</property>
|
||||
</configuration>
|
||||
</global>
|
||||
|
||||
<start to="Step1"/>
|
||||
|
||||
<kill name="Kill">
|
||||
<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
|
||||
</kill>
|
||||
|
||||
<action name='Step1'>
|
||||
<java>
|
||||
<main-class>eu.dnetlib.oa.graph.usagestats.export.ExecuteWorkflow</main-class>
|
||||
<arg>--matomoAuthToken</arg><arg>${matomoAuthToken}</arg>
|
||||
<arg>--matomoBaseURL</arg><arg>${matomoBaseURL}</arg>
|
||||
<arg>--repoLogPath</arg><arg>${repoLogPath}</arg>
|
||||
<arg>--portalLogPath</arg><arg>${portalLogPath}</arg>
|
||||
<arg>--portalMatomoID</arg><arg>${portalMatomoID}</arg>
|
||||
<arg>--irusUKBaseURL</arg><arg>${irusUKBaseURL}</arg>
|
||||
<arg>--irusUKReportPath</arg><arg>${irusUKReportPath}</arg>
|
||||
<arg>--sarcsReportPathArray</arg><arg>${sarcsReportPathArray}</arg>
|
||||
<arg>--sarcsReportPathNonArray</arg><arg>${sarcsReportPathNonArray}</arg>
|
||||
<arg>--lareferenciaLogPath</arg><arg>${lareferenciaLogPath}</arg>
|
||||
<arg>--lareferenciaBaseURL</arg><arg>${lareferenciaBaseURL}</arg>
|
||||
<arg>--lareferenciaAuthToken</arg><arg>${lareferenciaAuthToken}</arg>
|
||||
<arg>--dbHiveUrl</arg><arg>${hiveJdbcUrl}</arg>
|
||||
<arg>--dbImpalaUrl</arg><arg>${impalaJdbcUrl}</arg>
|
||||
<arg>--usageStatsDBSchema</arg><arg>${usageStatsDBSchema}</arg>
|
||||
<arg>--statsDBSchema</arg><arg>${statsDBSchema}</arg>
|
||||
<arg>--recreateDbAndTables</arg><arg>${recreateDbAndTables}</arg>
|
||||
<arg>--piwikEmptyDirs</arg><arg>${piwikEmptyDirs}</arg>
|
||||
<arg>--downloadPiwikLogs</arg><arg>${downloadPiwikLogs}</arg>
|
||||
<arg>--processPiwikLogs</arg><arg>${processPiwikLogs}</arg>
|
||||
<arg>--startingLogPeriod</arg><arg>${startingLogPeriod}</arg>
|
||||
<arg>--endingLogPeriod</arg><arg>${endingLogPeriod}</arg>
|
||||
<arg>--numberOfPiwikIdsToDownload</arg><arg>${numberOfPiwikIdsToDownload}</arg>
|
||||
<arg>--numberOfSiteIdsToDownload</arg><arg>${numberOfSiteIdsToDownload}</arg>
|
||||
<arg>--laReferenciaEmptyDirs</arg><arg>${laReferenciaEmptyDirs}</arg>
|
||||
<arg>--downloadLaReferenciaLogs</arg><arg>${downloadLaReferenciaLogs}</arg>
|
||||
<arg>--processLaReferenciaLogs</arg><arg>${processLaReferenciaLogs}</arg>
|
||||
<arg>--irusCreateTablesEmptyDirs</arg><arg>${irusCreateTablesEmptyDirs}</arg>
|
||||
<arg>--irusDownloadReports</arg><arg>${irusDownloadReports}</arg>
|
||||
<arg>--irusProcessStats</arg><arg>${irusProcessStats}</arg>
|
||||
<arg>--irusNumberOfOpendoarsToDownload</arg><arg>${irusNumberOfOpendoarsToDownload}</arg>
|
||||
<arg>--sarcCreateTablesEmptyDirs</arg><arg>${sarcCreateTablesEmptyDirs}</arg>
|
||||
<arg>--sarcDownloadReports</arg><arg>${sarcDownloadReports}</arg>
|
||||
<arg>--sarcProcessStats</arg><arg>${sarcProcessStats}</arg>
|
||||
<arg>--sarcNumberOfIssnToDownload</arg><arg>${sarcNumberOfIssnToDownload}</arg>
|
||||
<arg>--finalizeStats</arg><arg>${finalizeStats}</arg>
|
||||
<arg>--finalTablesVisibleToImpala</arg><arg>${finalTablesVisibleToImpala}</arg>
|
||||
<arg>--numberOfDownloadThreads</arg><arg>${numberOfDownloadThreads}</arg>
|
||||
<capture-output/>
|
||||
</java>
|
||||
<ok to="End" />
|
||||
<error to="Kill" />
|
||||
</action>
|
||||
|
||||
<end name="End"/>
|
||||
</workflow-app>
|
Loading…
Reference in New Issue