forked from D-Net/dnet-hadoop
Workflow usage-stats-update created
This commit is contained in:
dimitrispie
parent
733abdffe3
commit
566e2459a8
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@ -0,0 +1,91 @@
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<?xml version="1.0" encoding="UTF-8"?>
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<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">
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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>1.2.4-SNAPSHOT</version>
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</parent>
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<modelVersion>4.0.0</modelVersion>
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<artifactId>dhp-usage-stats-build</artifactId>
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<build>
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<plugins>
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<plugin>
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<groupId>pl.project13.maven</groupId>
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<artifactId>git-commit-id-plugin</artifactId>
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||||
<version>2.1.15</version>
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<executions>
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<execution>
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<goals>
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<goal>revision</goal>
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</goals>
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</execution>
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</executions>
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<configuration>
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<dotGitDirectory>${project.basedir}/../.git</dotGitDirectory>
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<!-- more config here as you see fit -->
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</configuration>
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</plugin>
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<plugin>
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<groupId>org.apache.maven.plugins</groupId>
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<artifactId>maven-compiler-plugin</artifactId>
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<version>3.6.1</version>
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<configuration>
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<source>1.8</source>
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<target>1.8</target>
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</configuration>
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</plugin>
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</plugins>
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</build>
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<properties>
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<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
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<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>
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<dependency>
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<groupId>org.apache.spark</groupId>
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<artifactId>spark-core_2.11</artifactId>
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<version>2.2.0</version>
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</dependency>
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<dependency>
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<groupId>org.apache.spark</groupId>
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<artifactId>spark-sql_2.11</artifactId>
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<version>2.4.5</version>
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</dependency>
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<dependency>
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<groupId>com.googlecode.json-simple</groupId>
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<artifactId>json-simple</artifactId>
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<version>1.1.1</version>
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</dependency>
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<dependency>
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<groupId>org.json</groupId>
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<artifactId>json</artifactId>
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<version>20180130</version>
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<type>jar</type>
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</dependency>
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<dependency>
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<groupId>org.apache.hive</groupId>
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<artifactId>hive-jdbc</artifactId>
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<version>${cdh.hive.version}</version>
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</dependency>
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<dependency>
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<groupId>org.apache.hadoop</groupId>
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<artifactId>hadoop-common</artifactId>
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<version>${cdh.hadoop.version}</version>
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</dependency>
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<dependency>
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<groupId>eu.dnetlib.dhp</groupId>
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<artifactId>dhp-common</artifactId>
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<version>${project.version}</version>
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</dependency>
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<dependency>
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<groupId>c3p0</groupId>
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<artifactId>c3p0</artifactId>
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<version>0.9.1.2</version>
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<type>jar</type>
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</dependency>
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</dependencies>
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<name>dhp-usage-stats-build</name>
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</project>
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@ -0,0 +1 @@
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mvn clean package -Poozie-package,deploy,run -Dworkflow.source.dir=eu/dnetlib/dhp/oa/graph/usagestatsbuild
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@ -0,0 +1,134 @@
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/*
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* To change this license header, choose License Headers in Project Properties.
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||||
* To change this template file, choose Tools | Templates
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* and open the template in the editor.
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||||
*/
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package eu.dnetlib.oa.graph.usagestatsbuild.export;
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import java.sql.Connection;
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import java.sql.SQLException;
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import java.text.DateFormat;
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import java.text.SimpleDateFormat;
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import java.util.Calendar;
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import java.util.Date;
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/**
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* @author D. Pierrakos, S. Zoupanos
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*/
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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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private static String dbHiveUrl;
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private static String dbImpalaUrl;
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private static String usageRawDataDBSchema;
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private static String usageStatsDBSchema;
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private static String usagestatsPermanentDBSchema;
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private static String statsDBSchema;
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private ConnectDB() {
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}
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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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usageStatsDBSchema = ExecuteWorkflow.usageStatsDBSchema;
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statsDBSchema = ExecuteWorkflow.statsDBSchema;
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usageRawDataDBSchema = ExecuteWorkflow.usageRawDataDBSchema;
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usagestatsPermanentDBSchema = ExecuteWorkflow.usagestatsPermanentDBSchema;
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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 {
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if (DB_HIVE_CONNECTION != null && !DB_HIVE_CONNECTION.isClosed()) {
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return DB_HIVE_CONNECTION;
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} else {
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DB_HIVE_CONNECTION = connectHive();
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return DB_HIVE_CONNECTION;
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}
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}
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public static Connection getImpalaConnection() throws SQLException {
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if (DB_IMPALA_CONNECTION != null && !DB_IMPALA_CONNECTION.isClosed()) {
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return DB_IMPALA_CONNECTION;
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} 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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}
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public static String getUsageRawDataDBSchema() {
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return ConnectDB.usageRawDataDBSchema;
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}
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public static String getUsageStatsDBSchema() {
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// String datePattern = "YYYYMMdd";
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// DateFormat df = new SimpleDateFormat(datePattern);
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//// Get the today date using Calendar object.
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// Date today = Calendar.getInstance().getTime();
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// String todayAsString = df.format(today);
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// return ConnectDB.usageStatsDBSchema + todayAsString;
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return ConnectDB.usageStatsDBSchema;
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}
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public static String getStatsDBSchema() {
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return ConnectDB.statsDBSchema;
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}
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public static String getUsagestatsPermanentDBSchema() {
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return ConnectDB.usagestatsPermanentDBSchema;
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}
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private static Connection connectHive() throws SQLException {
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ComboPooledDataSource cpds = new ComboPooledDataSource();
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cpds.setJdbcUrl(dbHiveUrl);
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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(30);
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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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return cpds.getConnection();
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}
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private static Connection connectImpala() throws SQLException {
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ComboPooledDataSource cpds = new ComboPooledDataSource();
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cpds.setJdbcUrl(dbImpalaUrl);
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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(30);
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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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return cpds.getConnection();
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}
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}
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@ -0,0 +1,140 @@
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/*
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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.
|
||||
*/
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||||
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package eu.dnetlib.oa.graph.usagestatsbuild.export;
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import java.text.SimpleDateFormat;
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import java.util.Calendar;
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import java.util.Date;
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import org.apache.commons.io.IOUtils;
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import org.apache.log4j.BasicConfigurator;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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import eu.dnetlib.dhp.application.ArgumentApplicationParser;
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/**
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* @author D. Pierrakos, S. Zoupanos
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*/
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public class ExecuteWorkflow {
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// static String matomoAuthToken;
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static String portalMatomoID;
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// static String irusUKBaseURL;
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// static String lareferenciaBaseURL;
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// static String lareferenciaAuthToken;
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static String dbHiveUrl;
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static String dbImpalaUrl;
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static String usageRawDataDBSchema;
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static String usageStatsDBSchema;
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static String usagestatsPermanentDBSchema;
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static String statsDBSchema;
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static boolean recreateDbAndTables;
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static boolean processPiwikLogs;
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static boolean processLaReferenciaLogs;
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static boolean irusProcessStats;
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static boolean sarcProcessStats;
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static boolean finalizeStats;
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static boolean finalTablesVisibleToImpala;
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static int numberOfDownloadThreads;
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private static final Logger logger = LoggerFactory.getLogger(PiwikStatsDB.class);
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public static void main(String args[]) throws Exception {
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// Sending the logs to the console
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BasicConfigurator.configure();
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final ArgumentApplicationParser parser = new ArgumentApplicationParser(
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IOUtils
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.toString(
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UsageStatsExporter.class
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.getResourceAsStream(
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"/eu/dnetlib/dhp/oa/graph/usagestatsbuild/export/usagestatsbuild_parameters.json")));
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parser.parseArgument(args);
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// Setting up the initial parameters
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// matomoAuthToken = parser.get("matomoAuthToken");
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// matomoBaseURL = parser.get("matomoBaseURL");
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portalMatomoID = parser.get("portalMatomoID");
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// irusUKBaseURL = parser.get("irusUKBaseURL");
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// lareferenciaBaseURL = parser.get("lareferenciaBaseURL");
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// lareferenciaAuthToken = parser.get("lareferenciaAuthToken");
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dbHiveUrl = parser.get("dbHiveUrl");
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dbImpalaUrl = parser.get("dbImpalaUrl");
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usageRawDataDBSchema = parser.get("usageRawDataDBSchema");
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usageStatsDBSchema = parser.get("usageStatsDBSchema");
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usagestatsPermanentDBSchema = parser.get("usagestatsPermanentDBSchema");
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statsDBSchema = parser.get("statsDBSchema");
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if (parser.get("processPiwikLogs").toLowerCase().equals("true")) {
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processPiwikLogs = true;
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} else {
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processPiwikLogs = false;
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}
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// String startingLogPeriodStr = parser.get("startingLogPeriod");
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// Date startingLogPeriodDate = new SimpleDateFormat("MM/yyyy").parse(startingLogPeriodStr);
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// startingLogPeriod = startingLogPeriodStr(startingLogPeriodDate);
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//
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// String endingLogPeriodStr = parser.get("endingLogPeriod");
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// Date endingLogPeriodDate = new SimpleDateFormat("MM/yyyy").parse(endingLogPeriodStr);
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// endingLogPeriod = startingLogPeriodStr(endingLogPeriodDate);
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if (parser.get("recreateDbAndTables").toLowerCase().equals("true")) {
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recreateDbAndTables = true;
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} else {
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recreateDbAndTables = false;
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}
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if (parser.get("processLaReferenciaLogs").toLowerCase().equals("true")) {
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processLaReferenciaLogs = true;
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} else {
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processLaReferenciaLogs = false;
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}
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if (parser.get("irusProcessStats").toLowerCase().equals("true")) {
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irusProcessStats = true;
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} else {
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irusProcessStats = false;
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}
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if (parser.get("sarcProcessStats").toLowerCase().equals("true")) {
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sarcProcessStats = true;
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} else {
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sarcProcessStats = false;
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}
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if (parser.get("finalizeStats").toLowerCase().equals("true")) {
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finalizeStats = true;
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} else {
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finalizeStats = false;
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}
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if (parser.get("finalTablesVisibleToImpala").toLowerCase().equals("true")) {
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finalTablesVisibleToImpala = true;
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} else {
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numberOfDownloadThreads = Integer.parseInt(parser.get("numberOfDownloadThreads"));
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}
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UsageStatsExporter usagestatsExport = new UsageStatsExporter();
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usagestatsExport.export();
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}
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private static Calendar startingLogPeriodStr(Date date) {
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Calendar calendar = Calendar.getInstance();
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calendar.setTime(date);
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return calendar;
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}
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}
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@ -0,0 +1,95 @@
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package eu.dnetlib.oa.graph.usagestatsbuild.export;
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import java.io.*;
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import java.net.URL;
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import java.net.URLConnection;
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import java.sql.PreparedStatement;
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import java.sql.ResultSet;
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import java.sql.Statement;
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import java.text.SimpleDateFormat;
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import java.util.ArrayList;
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import java.util.Calendar;
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import java.util.Date;
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import java.util.List;
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import org.apache.hadoop.conf.Configuration;
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import org.apache.hadoop.fs.FSDataOutputStream;
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import org.apache.hadoop.fs.FileSystem;
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import org.apache.hadoop.fs.Path;
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import org.json.simple.JSONArray;
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import org.json.simple.JSONObject;
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import org.json.simple.parser.JSONParser;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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/**
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* @author D. Pierrakos, S. Zoupanos
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*/
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public class IrusStats {
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private String irusUKURL;
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private static final Logger logger = LoggerFactory.getLogger(IrusStats.class);
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public IrusStats() throws Exception {
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}
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public void processIrusStats() throws Exception {
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Statement stmt = ConnectDB.getHiveConnection().createStatement();
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ConnectDB.getHiveConnection().setAutoCommit(false);
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logger.info("Creating irus_downloads_stats_tmp table");
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String createDownloadsStats = "CREATE TABLE IF NOT EXISTS " + ConnectDB.getUsageStatsDBSchema()
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+ ".irus_downloads_stats_tmp "
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+ "(`source` string, "
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+ "`repository_id` string, "
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+ "`result_id` string, "
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+ "`date` string, "
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+ "`count` bigint, "
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+ "`openaire` bigint)";
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stmt.executeUpdate(createDownloadsStats);
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logger.info("Created irus_downloads_stats_tmp table");
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logger.info("Inserting into irus_downloads_stats_tmp");
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String insertDStats = "INSERT INTO " + ConnectDB.getUsageStatsDBSchema() + ".irus_downloads_stats_tmp "
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+ "SELECT s.source, d.id AS repository_id, "
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+ "ro.id as result_id, CONCAT(YEAR(date), '/', LPAD(MONTH(date), 2, '0')) as date, s.count, '0' "
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+ "FROM " + ConnectDB.getUsageRawDataDBSchema() + ".sushilog s, "
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+ ConnectDB.getStatsDBSchema() + ".datasource_oids d, "
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+ ConnectDB.getStatsDBSchema() + ".result_oids ro "
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+ "WHERE s.repository=d.oid AND s.rid=ro.oid AND metric_type='ft_total' AND s.source='IRUS-UK'";
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stmt.executeUpdate(insertDStats);
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logger.info("Inserted into irus_downloads_stats_tmp");
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String createR5Stats = "CREATE TABLE IF NOT EXISTS " + ConnectDB.getUsageStatsDBSchema()
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+ ".irus_R5_stats_tmp "
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+ "(`source` string, "
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+ "`repository_id` string, "
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+ "`result_id` string, "
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+ "`date` string, "
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+ "`views` bigint, "
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+ "`downloads` bigint, "
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+ "`openaire` bigint)";
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stmt.executeUpdate(createR5Stats);
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logger.info("Created irus_R5_stats_tmp table");
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logger.info("Inserting into irus_R5_stats_tmp");
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String insertΡ5Stats = "INSERT INTO " + ConnectDB.getUsageStatsDBSchema() + ".irus_R5_stats_tmp "
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+ "SELECT s.source, d.id AS repository_id, "
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+ "ro.id as result_id, CONCAT(YEAR(date), '/', LPAD(MONTH(date), 2, '0')) as date, "
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+ "(s.total_item_investigations-s.total_item_requests) as views, s.total_item_requests as downloads, '0' "
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+ "FROM " + ConnectDB.getUsageRawDataDBSchema() + ".sushilog_cop_r5 s, "
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+ ConnectDB.getStatsDBSchema() + ".datasource_oids d, "
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+ ConnectDB.getStatsDBSchema() + ".result_oids ro "
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+ "WHERE s.repository=d.oid AND s.rid=ro.oid AND s.source='IRUS-UK'";
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stmt.executeUpdate(insertΡ5Stats);
|
||||
logger.info("Inserted into irus_R5_stats_tmp");
|
||||
|
||||
stmt.close();
|
||||
// ConnectDB.getHiveConnection().close();
|
||||
}
|
||||
//// to add create table sushilog_cop_r5 as select * from openaire_prod_usage_raw.sushilog_cop_r5
|
||||
//// to add create table sushilog_cop_r5 as select * from openaire_prod_usage_raw.sushilog_cop_r5
|
||||
|
||||
}
|
||||
|
|
@ -0,0 +1,321 @@
|
|||
|
||||
package eu.dnetlib.oa.graph.usagestatsbuild.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() throws Exception {
|
||||
}
|
||||
|
||||
public void processLogs() throws Exception {
|
||||
try {
|
||||
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 creating COUNTER CoP R5 metrics");
|
||||
createCoPR5TablesForLareferencia();
|
||||
logger.info("LaReferencia created COUNTER CoP R5 metrics");
|
||||
|
||||
// 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 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.getUsageRawDataDBSchema() + ".lareferencialog 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.getUsageRawDataDBSchema() + ".lareferencialog 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 createCoPR5TablesForLareferencia() throws Exception {
|
||||
Statement stmt = ConnectDB.getHiveConnection().createStatement();
|
||||
ConnectDB.getHiveConnection().setAutoCommit(false);
|
||||
|
||||
// Unique Item Investigations
|
||||
|
||||
logger.info("Create View Unique_Item_Investigations");
|
||||
String sql = "CREATE OR REPLACE VIEW " + ConnectDB.getUsageStatsDBSchema()
|
||||
+ ".lr_view_unique_item_investigations "
|
||||
+ "AS SELECT id_visit, entity_id, reflect('java.net.URLDecoder', 'decode', entity_id) AS id, "
|
||||
+ "CASE WHEN COUNT(entity_id)>1 THEN 1 ELSE 1 END AS unique_item_investigations, "
|
||||
+ "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.getUsageRawDataDBSchema() + ".lareferencialog "
|
||||
+ "WHERE (source_item_type='oaItem' or source_item_type='repItem') "
|
||||
+ "AND entity_id is NOT NULL GROUP BY id_visit, entity_id, "
|
||||
+ "CONCAT(YEAR(timestamp), '/', LPAD(MONTH(timestamp), 2, '0')), source ";
|
||||
stmt.executeUpdate(sql);
|
||||
logger.info("Created View Unique_Item_Investigations");
|
||||
|
||||
logger.info("Drop Table Unique_Item_Investigations");
|
||||
sql = "DROP TABLE IF EXISTS " + ConnectDB.getUsageStatsDBSchema() + ".lr_tbl_unique_item_investigations ";
|
||||
stmt.executeUpdate(sql);
|
||||
logger.info("Dropped Table Unique_Item_Investigations");
|
||||
|
||||
logger.info("Create Table tbl_unique_item_investigations");
|
||||
sql = "CREATE TABLE " + ConnectDB.getUsageStatsDBSchema() + ".lr_tbl_unique_item_investigations as "
|
||||
+ "SELECT 'OpenAIRE' as source, d.id as repository_id, ro.id as result_id, month as date, "
|
||||
+ "sum(unique_item_investigations) AS unique_item_investigations, sum(openaire_referrer) AS openaire "
|
||||
+ "FROM " + ConnectDB.getUsageStatsDBSchema() + ".lr_view_unique_item_investigations p, "
|
||||
+ ConnectDB.getStatsDBSchema() + ".datasource d," + ConnectDB.getStatsDBSchema() + ".result_oids ro "
|
||||
+ "WHERE p.source=d.piwik_id AND p.id=ro.oid AND ro.oid!='200' AND ro.oid!='204' AND ro.oid!='404' "
|
||||
+ "AND ro.oid!='400' AND ro.oid!='503' AND d.id!='re3data_____::7b0ad08687b2c960d5aeef06f811d5e6' "
|
||||
+ "GROUP BY d.id, ro.id, month ";
|
||||
stmt.executeUpdate(sql);
|
||||
logger.info("Created Table tbl_unique_item_investigations");
|
||||
|
||||
// Total Item Investigations
|
||||
|
||||
logger.info("Create View lr_view_total_item_investigations");
|
||||
sql = "CREATE OR REPLACE VIEW " + ConnectDB.getUsageStatsDBSchema() + ".lr_view_total_item_investigations "
|
||||
+ "AS SELECT id_visit, entity_id, reflect('java.net.URLDecoder', 'decode', entity_id) AS id, "
|
||||
+ "COUNT(entity_id) AS total_item_investigations, "
|
||||
+ "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.getUsageRawDataDBSchema() + ".lareferencialog "
|
||||
+ "WHERE (source_item_type='oaItem' or source_item_type='repItem') "
|
||||
+ "AND entity_id is NOT NULL GROUP BY id_visit, entity_id, "
|
||||
+ "CONCAT(YEAR(timestamp), '/', LPAD(MONTH(timestamp), 2, '0')), source ";
|
||||
stmt.executeUpdate(sql);
|
||||
logger.info("Created View lr_view_total_item_investigations");
|
||||
|
||||
logger.info("Drop Table lr_tbl_total_item_investigations");
|
||||
sql = "DROP TABLE IF EXISTS " + ConnectDB.getUsageStatsDBSchema() + ".lr_tbl_total_item_investigations ";
|
||||
stmt.executeUpdate(sql);
|
||||
logger.info("Dropped Table lr_tbl_total_item_investigations");
|
||||
|
||||
logger.info("Create Table lr_tbl_total_item_investigations");
|
||||
sql = "CREATE TABLE " + ConnectDB.getUsageStatsDBSchema() + ".lr_tbl_total_item_investigations as "
|
||||
+ "SELECT 'OpenAIRE' as source, d.id as repository_id, ro.id as result_id, month as date, "
|
||||
+ "sum(total_item_investigations) AS total_item_investigations, sum(openaire_referrer) AS openaire "
|
||||
+ "FROM " + ConnectDB.getUsageStatsDBSchema() + ".lr_view_total_item_investigations p, "
|
||||
+ ConnectDB.getStatsDBSchema() + ".datasource d," + ConnectDB.getStatsDBSchema() + ".result_oids ro "
|
||||
+ "WHERE p.source=d.piwik_id AND p.id=ro.oid AND ro.oid!='200' AND ro.oid!='204' AND ro.oid!='404' "
|
||||
+ "AND ro.oid!='400' AND ro.oid!='503' AND d.id!='re3data_____::7b0ad08687b2c960d5aeef06f811d5e6' "
|
||||
+ "GROUP BY d.id, ro.id, month ";
|
||||
stmt.executeUpdate(sql);
|
||||
logger.info("Created Table lr_tbl_total_item_investigations");
|
||||
|
||||
// Unique Item Requests
|
||||
|
||||
logger.info("Create View lr_view_unique_item_requests");
|
||||
sql = "CREATE OR REPLACE VIEW " + ConnectDB.getUsageStatsDBSchema() + ".lr_view_unique_item_requests AS "
|
||||
+ "SELECT id_visit, entity_id, reflect('java.net.URLDecoder', 'decode', entity_id) AS id, "
|
||||
+ "CASE WHEN COUNT(entity_id)>1 THEN 1 ELSE 1 END AS unique_item_requests, "
|
||||
+ "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.getUsageRawDataDBSchema() + ".lareferencialog "
|
||||
+ "WHERE action='download' AND (source_item_type='oaItem' or source_item_type='repItem') "
|
||||
+ "AND entity_id is NOT NULL GROUP BY id_visit, entity_id, "
|
||||
+ "CONCAT(YEAR(timestamp), '/', LPAD(MONTH(timestamp), 2, '0')), source ";
|
||||
stmt.executeUpdate(sql);
|
||||
logger.info("Created View lr_view_unique_item_requests");
|
||||
|
||||
logger.info("Drop Table Unique_Item_Requests");
|
||||
sql = "DROP TABLE IF EXISTS " + ConnectDB.getUsageStatsDBSchema() + ".lr_tbl_unique_item_requests ";
|
||||
stmt.executeUpdate(sql);
|
||||
logger.info("Dropped Table Unique_Item_Requests");
|
||||
|
||||
logger.info("Create Table lr_tbl_unique_item_requests");
|
||||
sql = "CREATE TABLE " + ConnectDB.getUsageStatsDBSchema() + ".lr_tbl_unique_item_requests as "
|
||||
+ "SELECT 'OpenAIRE' as source, d.id as repository_id, ro.id as result_id, month as date, "
|
||||
+ "sum(unique_item_requests) AS unique_item_requests, sum(openaire_referrer) AS openaire "
|
||||
+ "FROM " + ConnectDB.getUsageStatsDBSchema() + ".lr_view_unique_item_requests p, "
|
||||
+ ConnectDB.getStatsDBSchema() + ".datasource d," + ConnectDB.getStatsDBSchema() + ".result_oids ro "
|
||||
+ "WHERE p.source=d.piwik_id AND p.id=ro.oid AND ro.oid!='200' AND ro.oid!='204' AND ro.oid!='404' "
|
||||
+ "AND ro.oid!='400' AND ro.oid!='503' AND d.id!='re3data_____::7b0ad08687b2c960d5aeef06f811d5e6' "
|
||||
+ "GROUP BY d.id, ro.id, month ";
|
||||
stmt.executeUpdate(sql);
|
||||
logger.info("Created Table lr_tbl_unique_item_requests");
|
||||
|
||||
// Total Item Requests
|
||||
|
||||
logger.info("Create View lr_view_total_item_requests");
|
||||
sql = "CREATE OR REPLACE VIEW " + ConnectDB.getUsageStatsDBSchema() + ".lr_view_total_item_requests "
|
||||
+ "AS SELECT id_visit, entity_id, reflect('java.net.URLDecoder', 'decode', entity_id) AS id, "
|
||||
+ "COUNT(entity_id) AS total_item_requests, "
|
||||
+ "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.getUsageRawDataDBSchema() + ".lareferencialog "
|
||||
+ "WHERE action='download' AND (source_item_type='oaItem' or source_item_type='repItem') "
|
||||
+ "AND entity_id is NOT NULL GROUP BY id_visit, entity_id, "
|
||||
+ "CONCAT(YEAR(timestamp), '/', LPAD(MONTH(timestamp), 2, '0')), source ";
|
||||
stmt.executeUpdate(sql);
|
||||
logger.info("Created View lr_view_total_item_requests");
|
||||
|
||||
logger.info("Drop Table lr_tbl_total_item_requests");
|
||||
sql = "DROP TABLE IF EXISTS " + ConnectDB.getUsageStatsDBSchema() + ".lr_tbl_total_item_requests ";
|
||||
stmt.executeUpdate(sql);
|
||||
logger.info("Dropped Table lr_tbl_total_item_requests");
|
||||
|
||||
logger.info("Create Table lr_tbl_total_item_requests");
|
||||
sql = "CREATE TABLE " + ConnectDB.getUsageStatsDBSchema() + ".lr_tbl_total_item_requests as "
|
||||
+ "SELECT 'OpenAIRE' as source, d.id as repository_id, ro.id as result_id, month as date, "
|
||||
+ "sum(total_item_requests) AS total_item_requests, sum(openaire_referrer) AS openaire "
|
||||
+ "FROM " + ConnectDB.getUsageStatsDBSchema() + ".view_total_item_requests p, "
|
||||
+ ConnectDB.getStatsDBSchema() + ".datasource d," + ConnectDB.getStatsDBSchema() + ".result_oids ro "
|
||||
+ "WHERE p.source=d.piwik_id AND p.id=ro.oid AND ro.oid!='200' AND ro.oid!='204' AND ro.oid!='404' "
|
||||
+ "AND ro.oid!='400' AND ro.oid!='503' AND d.id!='re3data_____::7b0ad08687b2c960d5aeef06f811d5e6' "
|
||||
+ "GROUP BY d.id, ro.id, month ";
|
||||
stmt.executeUpdate(sql);
|
||||
logger.info("Created Table lr_tbl_total_item_requests");
|
||||
|
||||
// All CoP R5 metrics Table
|
||||
logger.info("Drop Table lr_tbl_all_r5_metrics");
|
||||
sql = "DROP TABLE IF EXISTS " + ConnectDB.getUsageStatsDBSchema() + ".lr_tbl_all_r5_metrics ";
|
||||
stmt.executeUpdate(sql);
|
||||
logger.info("Dropped Table lr_tbl_all_r5_metrics");
|
||||
|
||||
logger.info("Create Table lr_tbl_all_r5_metrics");
|
||||
sql = "CREATE TABLE IF NOT EXISTS " + ConnectDB.getUsageStatsDBSchema() + ".lr_tbl_all_r5_metrics as "
|
||||
+ "WITH tmp1 as (SELECT 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(vs.unique_item_investigations, 0) as unique_item_investigations, "
|
||||
+ "coalesce(ds.total_item_investigations, 0) as total_item_investigations "
|
||||
+ "FROM " + ConnectDB.getUsageStatsDBSchema() + ".lr_tbl_unique_item_investigations AS vs "
|
||||
+ "FULL OUTER JOIN " + ConnectDB.getUsageStatsDBSchema() + ".lr_tbl_total_item_investigations AS ds "
|
||||
+ " ON ds.source=vs.source AND ds.result_id=vs.result_id AND ds.date=vs.date), "
|
||||
+ "tmp2 AS (select 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.total_item_investigations, 0) as total_item_investigations, "
|
||||
+ "coalesce(ds.unique_item_investigations, 0) as unique_item_investigations, "
|
||||
+ " coalesce(vs.unique_item_requests, 0) as unique_item_requests FROM tmp1 "
|
||||
+ "AS ds FULL OUTER JOIN " + ConnectDB.getUsageStatsDBSchema() + ".lr_tbl_unique_item_requests AS vs "
|
||||
+ "ON ds.repository_id=vs.repository_id AND ds.result_id=vs.result_id AND ds.date=vs.date) "
|
||||
+ "SELECT 'LaReferencia' 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.unique_item_investigations, 0) as unique_item_investigations, "
|
||||
+ "coalesce(ds.total_item_investigations, 0) as total_item_investigations, "
|
||||
+ "coalesce(ds.unique_item_requests, 0) as unique_item_requests, "
|
||||
+ "coalesce(vs.total_item_requests, 0) as total_item_requests "
|
||||
+ "FROM tmp2 AS ds FULL OUTER JOIN " + ConnectDB.getUsageStatsDBSchema() + ".lr_tbl_total_item_requests "
|
||||
+ "AS vs ON ds.repository_id=vs.repository_id AND ds.result_id=vs.result_id AND ds.date=vs.date";
|
||||
stmt.executeUpdate(sql);
|
||||
logger.info("Created Table tbl_all_r5_metrics");
|
||||
|
||||
stmt.close();
|
||||
ConnectDB.getHiveConnection().close();
|
||||
|
||||
}
|
||||
|
||||
}
|
||||
File diff suppressed because it is too large
Load Diff
|
|
@ -0,0 +1,107 @@
|
|||
|
||||
package eu.dnetlib.oa.graph.usagestatsbuild.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 processSarc() throws Exception {
|
||||
Statement stmt = ConnectDB.getHiveConnection().createStatement();
|
||||
ConnectDB.getHiveConnection().setAutoCommit(false);
|
||||
|
||||
logger.info("Creating sarc_downloads_stats_tmp table");
|
||||
String createDownloadsStats = "CREATE TABLE IF NOT EXISTS " + ConnectDB.getUsageStatsDBSchema()
|
||||
+ ".sarc_downloads_stats_tmp "
|
||||
+ "(`source` string, "
|
||||
+ "`repository_id` string, "
|
||||
+ "`result_id` string, "
|
||||
+ "`date` string, "
|
||||
+ "`count` bigint, "
|
||||
+ "`openaire` bigint)";
|
||||
stmt.executeUpdate(createDownloadsStats);
|
||||
logger.info("Created sarc_downloads_stats_tmp table");
|
||||
|
||||
logger.info("Inserting into sarc_downloads_stats_tmp");
|
||||
String insertSarcStats = "INSERT INTO " + ConnectDB.getUsageStatsDBSchema() + ".sarc_downloads_stats_tmp "
|
||||
+ "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.getUsageRawDataDBSchema() + ".sushilog 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'";
|
||||
stmt.executeUpdate(insertSarcStats);
|
||||
logger.info("Inserted into sarc_downloads_stats_tmp");
|
||||
|
||||
stmt.close();
|
||||
// ConnectDB.getHiveConnection().close();
|
||||
}
|
||||
|
||||
}
|
||||
|
|
@ -0,0 +1,137 @@
|
|||
|
||||
package eu.dnetlib.oa.graph.usagestatsbuild.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);
|
||||
|
||||
public void export() throws Exception {
|
||||
|
||||
logger.info("Initialising DB properties");
|
||||
ConnectDB.init();
|
||||
|
||||
// runImpalaQuery();
|
||||
PiwikStatsDB piwikstatsdb = new PiwikStatsDB();
|
||||
logger.info("Re-creating database and tables");
|
||||
if (ExecuteWorkflow.recreateDbAndTables) {
|
||||
piwikstatsdb.recreateDBAndTables();
|
||||
logger.info("DB-Tables are created ");
|
||||
}
|
||||
// else {
|
||||
// piwikstatsdb.createTmpTables();
|
||||
// logger.info("TmpTables are created ");
|
||||
// }
|
||||
if (ExecuteWorkflow.processPiwikLogs) {
|
||||
logger.info("Creating distinct piwik log");
|
||||
piwikstatsdb.createDistinctPiwikLog();
|
||||
logger.info("Processing OpenAIRE logs");
|
||||
piwikstatsdb.processLogs();
|
||||
logger.info("OpenAIRE logs Done");
|
||||
logger.info("Processing Episciences logs");
|
||||
piwikstatsdb.processEpisciencesLogs();
|
||||
logger.info("Episciences logs Done");
|
||||
logger.info("Processing Pedocs Old Stats");
|
||||
piwikstatsdb.uploadOldPedocs();
|
||||
logger.info("Processing Pedocs Old Stats Done");
|
||||
logger.info("Processing TUDELFT Stats");
|
||||
piwikstatsdb.uploadTUDELFTStats();
|
||||
logger.info("Processing TUDELFT Stats Done");
|
||||
logger.info("Processing B2SHARE Stats");
|
||||
piwikstatsdb.uploadB2SHAREStats();
|
||||
logger.info("Processing B2SHARE Stats Done");
|
||||
|
||||
}
|
||||
|
||||
LaReferenciaStats lastats = new LaReferenciaStats();
|
||||
|
||||
if (ExecuteWorkflow.processLaReferenciaLogs) {
|
||||
logger.info("Processing LaReferencia logs");
|
||||
lastats.processLogs();
|
||||
logger.info("LaReferencia logs done");
|
||||
}
|
||||
|
||||
IrusStats irusstats = new IrusStats();
|
||||
|
||||
if (ExecuteWorkflow.irusProcessStats) {
|
||||
logger.info("Processing IRUS");
|
||||
irusstats.processIrusStats();
|
||||
logger.info("Irus done");
|
||||
}
|
||||
|
||||
SarcStats sarcStats = new SarcStats();
|
||||
|
||||
if (ExecuteWorkflow.sarcProcessStats) {
|
||||
sarcStats.processSarc();
|
||||
}
|
||||
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);
|
||||
|
||||
sql = "INVALIDATE METADATA " + ConnectDB.getUsagestatsPermanentDBSchema() + ".downloads_stats";
|
||||
stmt.executeUpdate(sql);
|
||||
|
||||
sql = "INVALIDATE METADATA " + ConnectDB.getUsagestatsPermanentDBSchema() + ".views_stats";
|
||||
stmt.executeUpdate(sql);
|
||||
|
||||
sql = "INVALIDATE METADATA " + ConnectDB.getUsagestatsPermanentDBSchema() + ".usage_stats";
|
||||
stmt.executeUpdate(sql);
|
||||
|
||||
sql = "INVALIDATE METADATA " + ConnectDB.getUsagestatsPermanentDBSchema() + ".pageviews_stats";
|
||||
stmt.executeUpdate(sql);
|
||||
|
||||
sql = "INVALIDATE METADATA " + ConnectDB.getUsagestatsPermanentDBSchema() + ".counter_r5_stats_with_metrics";
|
||||
stmt.executeUpdate(sql);
|
||||
|
||||
stmt.close();
|
||||
ConnectDB.getHiveConnection().close();
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,92 @@
|
|||
[
|
||||
{
|
||||
"paramName": "pmi",
|
||||
"paramLongName": "portalMatomoID",
|
||||
"paramDescription": "namoNode of the target cluster",
|
||||
"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": "urdbs",
|
||||
"paramLongName": "usageRawDataDBSchema",
|
||||
"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": "uspdbs",
|
||||
"paramLongName": "usagestatsPermanentDBSchema",
|
||||
"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": "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": "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": "ipr",
|
||||
"paramLongName": "irusProcessStats",
|
||||
"paramDescription": "Irus section: Process stats?",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "ipr",
|
||||
"paramLongName": "sarcProcessStats",
|
||||
"paramDescription": "Sarc section: Process stats?",
|
||||
"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
|
||||
}
|
||||
]
|
||||
|
|
@ -0,0 +1,38 @@
|
|||
<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;?spark.executor.memory=19166291558;spark.yarn.executor.memoryOverhead=3225;spark.driver.memory=11596411699;spark.yarn.driver.memoryOverhead=1228</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>
|
||||
|
|
@ -0,0 +1,83 @@
|
|||
<workflow-app name="Usage Stats Update" 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>${oozieLauncherQueueName}</value>
|
||||
</property>
|
||||
<property>
|
||||
<name>spark.executor.memory</name>
|
||||
<value>19166291558</value>
|
||||
</property>
|
||||
<property>
|
||||
<name>spark.yarn.executor.memoryOverhead</name>
|
||||
<value>3225</value>
|
||||
</property>
|
||||
<property>
|
||||
<name>spark.driver.memory</name>
|
||||
<value>11596411699</value>
|
||||
</property>
|
||||
<property>
|
||||
<name>spark.yarn.driver.memoryOverhead</name>
|
||||
<value>1228</value>
|
||||
</property>
|
||||
</configuration>
|
||||
</global>
|
||||
|
||||
<start to="Step1"/>
|
||||
|
||||
<kill name="Kill">
|
||||
<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
|
||||
</kill>
|
||||
|
||||
<action name='Step1'>
|
||||
<java>
|
||||
<main-class>eu.dnetlib.oa.graph.usagestatsbuild.export.ExecuteWorkflow</main-class>
|
||||
<arg>--portalMatomoID</arg><arg>${portalMatomoID}</arg>
|
||||
<arg>--dbHiveUrl</arg><arg>${hiveJdbcUrl}</arg>
|
||||
<arg>--dbImpalaUrl</arg><arg>${impalaJdbcUrl}</arg>
|
||||
<arg>--usageRawDataDBSchema</arg><arg>${usageRawDataDBSchema}</arg>
|
||||
<arg>--usageStatsDBSchema</arg><arg>${usageStatsDBSchema}</arg>
|
||||
<arg>--usagestatsPermanentDBSchema</arg><arg>${usagestatsPermanentDBSchema}</arg>
|
||||
<arg>--statsDBSchema</arg><arg>${statsDBSchema}</arg>
|
||||
<arg>--recreateDbAndTables</arg><arg>${recreateDbAndTables}</arg>
|
||||
<arg>--processPiwikLogs</arg><arg>${processPiwikLogs}</arg>
|
||||
<arg>--processLaReferenciaLogs</arg><arg>${processLaReferenciaLogs}</arg>
|
||||
<arg>--irusProcessStats</arg><arg>${irusProcessStats}</arg>
|
||||
<arg>--sarcProcessStats</arg><arg>${sarcProcessStats}</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