forked from D-Net/dnet-hadoop
Commit datasets changes
This commit is contained in:
parent
ac5b7f89b5
commit
533bde3228
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@ -1,107 +0,0 @@
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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>1.1.7-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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<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-indicators</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-indicators</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/indicators
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@ -1,35 +0,0 @@
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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.indicators.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
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*/
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public class ExecuteWorkflow {
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private static final Logger logger = LoggerFactory.getLogger(ExecuteWorkflow.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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logger.info("Workflow Executed");
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}
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}
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@ -1,38 +0,0 @@
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<configuration>
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<property>
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<name>jobTracker</name>
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<value>${jobTracker}</value>
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</property>
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<property>
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<name>nameNode</name>
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<value>${nameNode}</value>
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</property>
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<property>
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<name>oozie.use.system.libpath</name>
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<value>true</value>
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</property>
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<property>
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<name>oozie.action.sharelib.for.spark</name>
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<value>spark2</value>
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</property>
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<property>
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<name>hiveMetastoreUris</name>
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<value>thrift://iis-cdh5-test-m3.ocean.icm.edu.pl:9083</value>
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</property>
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<property>
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<name>hiveJdbcUrl</name>
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<value>jdbc:hive2://iis-cdh5-test-m3.ocean.icm.edu.pl:10000/;UseNativeQuery=1</value>
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</property>
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<property>
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<name>impalaJdbcUrl</name>
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<value>jdbc:hive2://iis-cdh5-test-gw.ocean.icm.edu.pl:21050/;auth=noSasl;</value>
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</property>
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<property>
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<name>oozie.wf.workflow.notification.url</name>
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<value>{serviceUrl}/v1/oozieNotification/jobUpdate?jobId=$jobId%26status=$status</value>
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</property>
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<property>
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<name>oozie.use.system.libpath</name>
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<value>true</value>
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</property>
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</configuration>
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@ -1,5 +0,0 @@
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#! /usr/bin/env python
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import sys
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print "this is a Python script"
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print "Python Interpreter Version: " + sys.version
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@ -1,2 +0,0 @@
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#!/bin/bash
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echo "`date` hi"
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@ -1,58 +0,0 @@
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<workflow-app name="Python sample" xmlns="uri:oozie:workflow:0.5">
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<parameters>
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<property>
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<name>hiveMetastoreUris</name>
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<description>Hive server metastore URIs</description>
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</property>
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<property>
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<name>hiveJdbcUrl</name>
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<description>Hive server jdbc url</description>
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</property>
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<property>
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<name>impalaJdbcUrl</name>
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<description>Impala server jdbc url</description>
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</property>
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</parameters>
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<global>
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<job-tracker>${jobTracker}</job-tracker>
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<name-node>${nameNode}</name-node>
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<configuration>
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<property>
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<name>hive.metastore.uris</name>
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<value>${hiveMetastoreUris}</value>
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</property>
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<property>
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<name>mapreduce.job.queuename</name>
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<value>${queueName}</value>
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</property>
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<property>
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<name>oozie.launcher.mapred.job.queue.name</name>
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<value>${oozieLauncherQueueName}</value>
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</property>
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</configuration>
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</global>
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<start to="python-check"/>
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<action name="python-check">
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<shell xmlns="uri:oozie:shell-action:0.2">
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<job-tracker>${jobTracker}</job-tracker>
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<name-node>${nameNode}</name-node>
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<configuration>
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<property>
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<name>mapred.job.queue.name</name>
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<value>${queueName}</value>
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</property>
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</configuration>
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<exec>testpython.py</exec>
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<file>python/testpython.py</file>
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<capture-output/>
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</shell>
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<ok to="end"/>
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<error to="fail"/>
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</action>
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<kill name="fail">
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<message>Python action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
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</kill>
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<end name="end"/>
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</workflow-app>
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@ -19,7 +19,7 @@
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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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||||
<version>1.2.4-SNAPSHOT</version>
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<relativePath>../</relativePath>
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</parent>
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<modelVersion>4.0.0</modelVersion>
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@ -96,7 +96,7 @@
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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>1.1.7-SNAPSHOT</version>
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<version>1.2.4-SNAPSHOT</version>
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<type>jar</type>
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</dependency>
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<dependency>
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|
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@ -9,6 +9,10 @@ package eu.dnetlib.oa.graph.datasetsusagestats.export;
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import java.sql.Connection;
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import java.sql.SQLException;
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import java.sql.Statement;
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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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import org.apache.log4j.Logger;
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@ -28,6 +32,7 @@ public abstract class ConnectDB {
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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 datasetsUsageStatsPermanentDBSchema;
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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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@ -37,6 +42,7 @@ public abstract class ConnectDB {
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dbHiveUrl = ExecuteWorkflow.dbHiveUrl;
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dbImpalaUrl = ExecuteWorkflow.dbImpalaUrl;
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datasetUsageStatsDBSchema = ExecuteWorkflow.datasetUsageStatsDBSchema;
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datasetsUsageStatsPermanentDBSchema = ExecuteWorkflow.datasetsUsageStatsPermanentDBSchema;
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statsDBSchema = ExecuteWorkflow.statsDBSchema;
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Class.forName("org.apache.hive.jdbc.HiveDriver");
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@ -63,14 +69,25 @@ public abstract class ConnectDB {
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}
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public static String getDataSetUsageStatsDBSchema() {
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return ConnectDB.datasetUsageStatsDBSchema;
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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.datasetUsageStatsDBSchema + "_" + todayAsString;
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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 getDatasetsUsagestatsPermanentDBSchema() {
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return ConnectDB.datasetsUsageStatsPermanentDBSchema;
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}
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private static Connection connectHive() throws SQLException {
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logger.info("trying to open Hive connection...");
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ComboPooledDataSource cpds = new ComboPooledDataSource();
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cpds.setJdbcUrl(dbHiveUrl);
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@ -90,14 +107,18 @@ public abstract class ConnectDB {
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cpds.setPreferredTestQuery("SELECT 1");
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cpds.setIdleConnectionTestPeriod(60);
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logger.info("Opened database successfully");
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logger.info("Opened HIVE successfully");
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return cpds.getConnection();
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// Connection connection = DriverManager.getConnection(dbHiveUrl);
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// logger.debug("Opened Hive successfully");
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//
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// return connection;
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}
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private static Connection connectImpala() throws SQLException {
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logger.info("trying to open Impala connection...");
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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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@ -116,8 +137,12 @@ public abstract class ConnectDB {
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cpds.setPreferredTestQuery("SELECT 1");
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cpds.setIdleConnectionTestPeriod(60);
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logger.info("Opened database successfully");
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logger.info("Opened Impala successfully");
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return cpds.getConnection();
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// Connection connection = DriverManager.getConnection(dbHiveUrl);
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// logger.debug("Opened Impala successfully");
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//
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// return connection;
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|
||||
}
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}
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|
|
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@ -1,8 +1,6 @@
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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;
|
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import java.sql.Statement;
|
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|
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import org.slf4j.Logger;
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|
@ -47,7 +45,7 @@ public class DatasetsStatsDB {
|
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try {
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stmt = ConnectDB.getHiveConnection().createStatement();
|
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|
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logger.info("Creating usagestats DB: " + ConnectDB.getDataSetUsageStatsDBSchema());
|
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logger.info("Creating datacite usagestats DB: " + ConnectDB.getDataSetUsageStatsDBSchema());
|
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String createDatabase = "CREATE DATABASE IF NOT EXISTS " + ConnectDB.getDataSetUsageStatsDBSchema();
|
||||
stmt.executeUpdate(createDatabase);
|
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|
||||
|
@ -55,6 +53,23 @@ public class DatasetsStatsDB {
|
|||
logger.error("Failed to create database: " + e);
|
||||
throw new Exception("Failed to create database: " + e.toString(), e);
|
||||
}
|
||||
try {
|
||||
stmt = ConnectDB.getHiveConnection().createStatement();
|
||||
|
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logger
|
||||
.info(
|
||||
"Creating permanent datasets usagestats DB: " + ConnectDB.getDatasetsUsagestatsPermanentDBSchema());
|
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String createPermanentDatabase = "CREATE DATABASE IF NOT EXISTS "
|
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+ ConnectDB.getDatasetsUsagestatsPermanentDBSchema();
|
||||
stmt.executeUpdate(createPermanentDatabase);
|
||||
logger
|
||||
.info(
|
||||
"Created permanent datasets usagestats DB: " + ConnectDB.getDatasetsUsagestatsPermanentDBSchema());
|
||||
|
||||
} 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 {
|
||||
|
@ -62,10 +77,10 @@ public class DatasetsStatsDB {
|
|||
stmt = ConnectDB.getHiveConnection().createStatement();
|
||||
|
||||
// Create Reports table - This table should exist
|
||||
logger.info("Creating Reports Table");
|
||||
logger.info("Creating Reports Tmp Table");
|
||||
String sqlCreateTableDataciteReports = "CREATE TABLE IF NOT EXISTS "
|
||||
+ ConnectDB.getDataSetUsageStatsDBSchema()
|
||||
+ ".datacitereports(reportid STRING, \n"
|
||||
+ ".datacitereports_tmp(reportid STRING, \n"
|
||||
+ " name STRING, \n"
|
||||
+ " source STRING,\n"
|
||||
+ " release STRING,\n"
|
||||
|
@ -79,10 +94,10 @@ public class DatasetsStatsDB {
|
|||
logger.info("Reports Table Created");
|
||||
|
||||
// Create Datasets Performance Table
|
||||
logger.info("Creating DataSetsPerformance Table");
|
||||
logger.info("Creating DataSetsPerformance Tmp Table");
|
||||
String sqlCreateTableDataSetsPerformance = "CREATE TABLE IF NOT EXISTS "
|
||||
+ ConnectDB.getDataSetUsageStatsDBSchema()
|
||||
+ ".datasetsperformance(ds_type STRING,\n"
|
||||
+ ".datasetsperformance_tmp(ds_type STRING,\n"
|
||||
+ " ds_title STRING,\n"
|
||||
+ " yop STRING,\n"
|
||||
+ " dataset_type STRING, \n"
|
||||
|
@ -100,7 +115,22 @@ public class DatasetsStatsDB {
|
|||
+ " CLUSTERED BY (ds_type)\n"
|
||||
+ " into 100 buckets stored as orc tblproperties('transactional'='true')";
|
||||
stmt.executeUpdate(sqlCreateTableDataSetsPerformance);
|
||||
logger.info("DataSetsPerformance Table Created");
|
||||
logger.info("DataSetsPerformance Tmp Table Created");
|
||||
|
||||
logger.info("Creating Datacite Reports table");
|
||||
String createDataciteReportsTable = "CREATE TABLE IF NOT EXISTS " + ConnectDB.getDataSetUsageStatsDBSchema()
|
||||
+ ".datacitereports LIKE " + ConnectDB.getDataSetUsageStatsDBSchema()
|
||||
+ ".datacitereports_tmp STORED AS PARQUET";
|
||||
stmt.executeUpdate(createDataciteReportsTable);
|
||||
logger.info("Datacite Reports Table created");
|
||||
|
||||
logger.info("Creating Datasets Performance table");
|
||||
String createDatasetPerformanceTable = "CREATE TABLE IF NOT EXISTS "
|
||||
+ ConnectDB.getDataSetUsageStatsDBSchema()
|
||||
+ ".datasetsperformance LIKE " + ConnectDB.getDataSetUsageStatsDBSchema()
|
||||
+ ".datasetsperformance_tmp STORED AS PARQUET";
|
||||
stmt.executeUpdate(createDatasetPerformanceTable);
|
||||
logger.info("DatasetsPerformance Table created");
|
||||
|
||||
stmt.close();
|
||||
ConnectDB.getHiveConnection().close();
|
||||
|
|
|
@ -21,6 +21,7 @@ public class ExecuteWorkflow {
|
|||
static String dbHiveUrl;
|
||||
static String dbImpalaUrl;
|
||||
static String datasetUsageStatsDBSchema;
|
||||
static String datasetsUsageStatsPermanentDBSchema;
|
||||
static String statsDBSchema;
|
||||
static boolean recreateDbAndTables;
|
||||
static boolean datasetsEmptyDirs;
|
||||
|
@ -45,6 +46,7 @@ public class ExecuteWorkflow {
|
|||
dbHiveUrl = parser.get("dbHiveUrl");
|
||||
dbImpalaUrl = parser.get("dbImpalaUrl");
|
||||
datasetUsageStatsDBSchema = parser.get("datasetUsageStatsDBSchema");
|
||||
datasetsUsageStatsPermanentDBSchema = parser.get("datasetsUsageStatsPermanentDBSchema");
|
||||
statsDBSchema = parser.get("statsDBSchema");
|
||||
|
||||
if (parser.get("recreateDbAndTables").toLowerCase().equals("true"))
|
||||
|
@ -57,11 +59,11 @@ public class ExecuteWorkflow {
|
|||
else
|
||||
datasetsEmptyDirs = false;
|
||||
|
||||
// if (parser.get("finalTablesVisibleToImpala").toLowerCase().equals("true"))
|
||||
// finalTablesVisibleToImpala = true;
|
||||
// else
|
||||
// finalTablesVisibleToImpala = false;
|
||||
//
|
||||
if (parser.get("finalTablesVisibleToImpala").toLowerCase().equals("true"))
|
||||
finalTablesVisibleToImpala = true;
|
||||
else
|
||||
finalTablesVisibleToImpala = false;
|
||||
|
||||
UsageStatsExporter usagestatsExport = new UsageStatsExporter();
|
||||
usagestatsExport.export();
|
||||
}
|
||||
|
|
|
@ -65,7 +65,7 @@ public class ReadReportsListFromDatacite {
|
|||
|
||||
logger.info("Checking report with id " + reportID);
|
||||
String sqlCheckIfReportExists = "SELECT source FROM " + ConnectDB.getDataSetUsageStatsDBSchema()
|
||||
+ ".datacitereports where reportid=?";
|
||||
+ ".datacitereports_tmp where reportid=?";
|
||||
PreparedStatement stGetReportID = ConnectDB.getHiveConnection().prepareStatement(sqlCheckIfReportExists);
|
||||
stGetReportID.setString(1, reportID);
|
||||
|
||||
|
@ -76,7 +76,7 @@ public class ReadReportsListFromDatacite {
|
|||
dropTmpReportsTable();
|
||||
} else {
|
||||
String sqlInsertReport = "INSERT INTO " + ConnectDB.getDataSetUsageStatsDBSchema()
|
||||
+ " .datacitereports "
|
||||
+ " .datacitereports_tmp "
|
||||
+ "SELECT\n"
|
||||
+ " get_json_object(json, '$.report.id') AS reportid,\n"
|
||||
+ " get_json_object(json, '$.report.report-header.report-name') AS name,\n"
|
||||
|
@ -127,7 +127,7 @@ public class ReadReportsListFromDatacite {
|
|||
public void readDatasetsReport(String prettyDatasetsReports, String reportId) throws Exception {
|
||||
logger.info("Reading Datasets performance for report " + reportId);
|
||||
logger.info("Write Performance Report To File");
|
||||
|
||||
ConnectDB.getHiveConnection().setAutoCommit(false);
|
||||
ObjectMapper objectMapper = new ObjectMapper();
|
||||
JsonNode jsonNode = objectMapper.readValue(prettyDatasetsReports, JsonNode.class);
|
||||
String datasetsReports = jsonNode.toString();
|
||||
|
@ -177,7 +177,7 @@ public class ReadReportsListFromDatacite {
|
|||
stmt.execute(sqlCreateTempTableForDatasets);
|
||||
|
||||
String sqlInsertToDatasetsPerformance = "INSERT INTO " + ConnectDB.getDataSetUsageStatsDBSchema()
|
||||
+ ".datasetsperformance SELECT dataset.dataset_id[0].value ds_type, "
|
||||
+ ".datasetsperformance_tmp SELECT dataset.dataset_id[0].value ds_type, "
|
||||
+ " dataset.dataset_title ds_title, "
|
||||
+ " dataset.yop yop, "
|
||||
+ " dataset.data_type dataset_type, "
|
||||
|
@ -296,32 +296,93 @@ public class ReadReportsListFromDatacite {
|
|||
}
|
||||
|
||||
public void createUsageStatisticsTable() throws SQLException {
|
||||
logger.info("Dropping Downloads Stats table");
|
||||
Statement stmt = ConnectDB.getHiveConnection().createStatement();
|
||||
String dropDownloadsTable = "DROP TABLE IF EXISTS " + ConnectDB.getDataSetUsageStatsDBSchema()
|
||||
+ ".datacite_downloads";
|
||||
stmt.executeUpdate(dropDownloadsTable);
|
||||
|
||||
logger.info("Updating Datacite Reports table");
|
||||
String createDataciteReportsTable = "INSERT INTO " + ConnectDB.getDataSetUsageStatsDBSchema()
|
||||
+ ".datacitereports "
|
||||
+ "SELECT * FROM " + ConnectDB.getDataSetUsageStatsDBSchema() + ".datacitereports_tmp";
|
||||
stmt.executeUpdate(createDataciteReportsTable);
|
||||
logger.info("Datacite Reports Table updated");
|
||||
|
||||
logger.info("Updating Datasets Performance table");
|
||||
String createDatasetPerformanceTable = "INSERT INTO " + ConnectDB.getDataSetUsageStatsDBSchema()
|
||||
+ ".datasetsperformance "
|
||||
+ "SELECT * FROM " + ConnectDB.getDataSetUsageStatsDBSchema() + ".datasetsperformance_tmp";
|
||||
stmt.executeUpdate(createDatasetPerformanceTable);
|
||||
logger.info("DatasetsPerformance Table updated");
|
||||
|
||||
logger.info("Creating Downloads Stats table");
|
||||
String createDownloadsTable = "CREATE TABLE " + ConnectDB.getDataSetUsageStatsDBSchema()
|
||||
+ ".datacite_downloads as "
|
||||
+ ".datacite_downloads STORED AS PARQUET as "
|
||||
+ "SELECT 'Datacite' source, d.id repository_id, od.id result_id, regexp_replace(substring(string(period_end),0,7),'-','/') date, count, '0' openaire "
|
||||
+ "FROM " + ConnectDB.getDataSetUsageStatsDBSchema() + ".datasetsperformance "
|
||||
+ "JOIN " + ConnectDB.getStatsDBSchema() + ".datasource d on name=platform "
|
||||
+ "JOIN " + ConnectDB.getStatsDBSchema() + ".result_oids od on string(ds_type)=od.oid "
|
||||
+ "where metric_type='total-dataset-requests'";
|
||||
+ "where metric_type='total-dataset-requests' ";
|
||||
stmt.executeUpdate(createDownloadsTable);
|
||||
logger.info("Downloads Stats table created");
|
||||
|
||||
logger.info("Creating Views Stats table");
|
||||
String createViewsTable = "CREATE TABLE " + ConnectDB.getDataSetUsageStatsDBSchema() + ".datacite_views as "
|
||||
String createViewsTable = "CREATE TABLE " + ConnectDB.getDataSetUsageStatsDBSchema()
|
||||
+ ".datacite_views STORED AS PARQUET as "
|
||||
+ "SELECT 'Datacite' source, d.id repository_id, od.id result_id, regexp_replace(substring(string(period_end),0,7),'-','/') date, count, '0' openaire "
|
||||
+ "FROM " + ConnectDB.getDataSetUsageStatsDBSchema() + ".datasetsperformance "
|
||||
+ "JOIN " + ConnectDB.getStatsDBSchema() + ".datasource d on name=platform "
|
||||
+ "JOIN " + ConnectDB.getStatsDBSchema() + ".result_oids od on string(ds_type)=od.oid "
|
||||
+ "where metric_type='total-dataset-investigations'";
|
||||
+ "where metric_type='total-dataset-investigations' ";
|
||||
stmt.executeUpdate(createViewsTable);
|
||||
logger.info("Views Stats table created");
|
||||
|
||||
logger.info("Building Permanent Datasets Usage Stats DB");
|
||||
|
||||
logger.info("Dropping view datacitereports on permanent datacite usagestats DB");
|
||||
String sql = "DROP VIEW IF EXISTS " + ConnectDB.getDatasetsUsagestatsPermanentDBSchema() + ".datacitereports";
|
||||
stmt.executeUpdate(sql);
|
||||
logger.info("Dropped view datacitereports on permanent datacite usagestats DB");
|
||||
|
||||
logger.info("Create view datacitereports on permanent datacite usagestats DB");
|
||||
sql = "CREATE VIEW IF NOT EXISTS " + ConnectDB.getDatasetsUsagestatsPermanentDBSchema() + ".datacitereports"
|
||||
+ " AS SELECT * FROM " + ConnectDB.getDataSetUsageStatsDBSchema() + ".datacitereports";
|
||||
stmt.executeUpdate(sql);
|
||||
logger.info("Created view datacitereports on permanent datasets usagestats DB");
|
||||
|
||||
logger.info("Dropping view datasetsperformance on permanent datacite usagestats DB");
|
||||
sql = "DROP VIEW IF EXISTS " + ConnectDB.getDatasetsUsagestatsPermanentDBSchema() + ".datasetsperformance";
|
||||
stmt.executeUpdate(sql);
|
||||
logger.info("Dropped view datasetsperformance on permanent datacite usagestats DB");
|
||||
|
||||
logger.info("Create view datasetsperformance on permanent datacite usagestats DB");
|
||||
sql = "CREATE VIEW IF NOT EXISTS " + ConnectDB.getDatasetsUsagestatsPermanentDBSchema() + ".datasetsperformance"
|
||||
+ " AS SELECT * FROM " + ConnectDB.getDataSetUsageStatsDBSchema() + ".datasetsperformance";
|
||||
stmt.executeUpdate(sql);
|
||||
logger.info("Created view datasetsperformance on permanent datasets usagestats DB");
|
||||
|
||||
logger.info("Dropping view datacite_views on permanent datacite usagestats DB");
|
||||
sql = "DROP VIEW IF EXISTS " + ConnectDB.getDatasetsUsagestatsPermanentDBSchema() + ".datacite_views";
|
||||
stmt.executeUpdate(sql);
|
||||
logger.info("Dropped view datacite_views on permanent datacite usagestats DB");
|
||||
|
||||
logger.info("Create view datacite_views on permanent datacite usagestats DB");
|
||||
sql = "CREATE VIEW IF NOT EXISTS " + ConnectDB.getDatasetsUsagestatsPermanentDBSchema() + ".datacite_views"
|
||||
+ " AS SELECT * FROM " + ConnectDB.getDataSetUsageStatsDBSchema() + ".datacite_views";
|
||||
stmt.executeUpdate(sql);
|
||||
logger.info("Created view datacite_views on permanent datasets usagestats DB");
|
||||
|
||||
logger.info("Dropping view datacite_downloads on permanent datacite usagestats DB");
|
||||
sql = "DROP VIEW IF EXISTS " + ConnectDB.getDatasetsUsagestatsPermanentDBSchema() + ".datacite_downloads";
|
||||
stmt.executeUpdate(sql);
|
||||
logger.info("Dropped view datacite_downloads on permanent datacite usagestats DB");
|
||||
|
||||
logger.info("Create view datacite_downloads on permanent datacite usagestats DB");
|
||||
sql = "CREATE VIEW IF NOT EXISTS " + ConnectDB.getDatasetsUsagestatsPermanentDBSchema() + ".datacite_downloads"
|
||||
+ " AS SELECT * FROM " + ConnectDB.getDataSetUsageStatsDBSchema() + ".datacite_downloads";
|
||||
stmt.executeUpdate(sql);
|
||||
logger.info("Created view datacite_downloads on permanent datasets usagestats DB");
|
||||
|
||||
stmt.close();
|
||||
ConnectDB.getHiveConnection().close();
|
||||
logger.info("Completed Building Permanent Datasets Usage Stats DB");
|
||||
}
|
||||
|
||||
}
|
||||
|
|
46
dhp-workflows/dhp-usage-datasets-stats-update/src/main/java/eu/dnetlib/oa/graph/datasetsusagestats/export/UsageStatsExporter.java
Normal file → Executable file
46
dhp-workflows/dhp-usage-datasets-stats-update/src/main/java/eu/dnetlib/oa/graph/datasetsusagestats/export/UsageStatsExporter.java
Normal file → Executable file
|
@ -2,6 +2,7 @@
|
|||
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;
|
||||
|
@ -67,5 +68,50 @@ public class UsageStatsExporter {
|
|||
readReportsListFromDatacite.readReports();
|
||||
logger.info("Reports Stored To DB");
|
||||
readReportsListFromDatacite.createUsageStatisticsTable();
|
||||
|
||||
// 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() + ".datacite_downloads";
|
||||
stmt.executeUpdate(sql);
|
||||
|
||||
sql = "INVALIDATE METADATA " + ConnectDB.getDataSetUsageStatsDBSchema() + ".datacite_views";
|
||||
stmt.executeUpdate(sql);
|
||||
|
||||
sql = "INVALIDATE METADATA " + ConnectDB.getDataSetUsageStatsDBSchema() + ".datacitereports";
|
||||
stmt.executeUpdate(sql);
|
||||
|
||||
sql = "INVALIDATE METADATA " + ConnectDB.getDataSetUsageStatsDBSchema() + ".datasetsperformance";
|
||||
stmt.executeUpdate(sql);
|
||||
|
||||
sql = "INVALIDATE METADATA " + ConnectDB.getDatasetsUsagestatsPermanentDBSchema() + ".datacite_downloads";
|
||||
stmt.executeUpdate(sql);
|
||||
|
||||
sql = "INVALIDATE METADATA " + ConnectDB.getDatasetsUsagestatsPermanentDBSchema() + ".datacite_views";
|
||||
stmt.executeUpdate(sql);
|
||||
|
||||
sql = "INVALIDATE METADATA " + ConnectDB.getDatasetsUsagestatsPermanentDBSchema() + ".datacitereports";
|
||||
stmt.executeUpdate(sql);
|
||||
|
||||
sql = "INVALIDATE METADATA " + ConnectDB.getDatasetsUsagestatsPermanentDBSchema() + ".datasetsperformance";
|
||||
stmt.executeUpdate(sql);
|
||||
|
||||
stmt.close();
|
||||
try {
|
||||
ConnectDB.getHiveConnection().close();
|
||||
} catch (Exception e) {
|
||||
logger.info("Message at the end :" + e.getMessage());
|
||||
}
|
||||
}
|
||||
}
|
||||
|
|
|
@ -1,56 +1,62 @@
|
|||
[
|
||||
{
|
||||
"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
|
||||
}
|
||||
{
|
||||
"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": "uspdbs",
|
||||
"paramLongName": "datasetsUsageStatsPermanentDBSchema",
|
||||
"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
|
||||
}
|
||||
]
|
||||
|
|
|
@ -1,4 +1,4 @@
|
|||
<workflow-app name="Usage Datasets Stats" xmlns="uri:oozie:workflow:0.5">
|
||||
<workflow-app name="Datacite Datasets Usage Stats" xmlns="uri:oozie:workflow:0.5">
|
||||
<parameters>
|
||||
<property>
|
||||
<name>hiveMetastoreUris</name>
|
||||
|
@ -52,6 +52,8 @@
|
|||
<arg>${impalaJdbcUrl}</arg>
|
||||
<arg>--datasetUsageStatsDBSchema</arg>
|
||||
<arg>${datasetUsageStatsDBSchema}</arg>
|
||||
<arg>--datasetsUsageStatsPermanentDBSchema</arg>
|
||||
<arg>${datasetsUsageStatsPermanentDBSchema}</arg>
|
||||
<arg>--statsDBSchema</arg>
|
||||
<arg>${statsDBSchema}</arg>
|
||||
<arg>--recreateDbAndTables</arg>
|
||||
|
|
|
@ -65,6 +65,8 @@ public class ExecuteWorkflow {
|
|||
|
||||
static int numberOfDownloadThreads;
|
||||
|
||||
static int b2SSHAREID;
|
||||
|
||||
public static void main(String args[]) throws Exception {
|
||||
|
||||
// Sending the logs to the console
|
||||
|
@ -196,6 +198,8 @@ public class ExecuteWorkflow {
|
|||
|
||||
numberOfDownloadThreads = Integer.parseInt(parser.get("numberOfDownloadThreads"));
|
||||
|
||||
b2SSHAREID = Integer.parseInt(parser.get("b2shareID"));
|
||||
|
||||
UsageStatsExporter usagestatsExport = new UsageStatsExporter();
|
||||
usagestatsExport.export();
|
||||
// usagestatsExport.createdDBWithTablesOnly();
|
||||
|
|
|
@ -191,7 +191,7 @@ public class PiwikDownloadLogs {
|
|||
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");
|
||||
+ ".datasource where piwik_id is not null and piwik_id <> 0 and piwik_id <> 196 order by piwik_id");
|
||||
|
||||
// Getting all the piwikids in a list for logging reasons & limitting the list
|
||||
// to the max number of piwikids
|
||||
|
|
|
@ -179,6 +179,10 @@ public class PiwikStatsDB {
|
|||
createPedocsOldUsageData();
|
||||
logger.info("Pedocs Tables Created");
|
||||
|
||||
logger.info("Create Datacite Tables");
|
||||
createDatasetsUsageData();
|
||||
logger.info("Datacite Tables Created");
|
||||
|
||||
} catch (Exception e) {
|
||||
logger.error("Failed to process logs: " + e);
|
||||
throw new Exception("Failed to process logs: " + e.toString(), e);
|
||||
|
@ -281,6 +285,7 @@ public class PiwikStatsDB {
|
|||
|
||||
// clean view double clicks
|
||||
logger.info("Cleaning action double clicks");
|
||||
ConnectDB.getHiveConnection().setAutoCommit(false);
|
||||
sql = "DELETE from " + ConnectDB.getUsageStatsDBSchema() + ".piwiklogtmp "
|
||||
+ "WHERE EXISTS (\n"
|
||||
+ "SELECT DISTINCT p1.source, p1.id_visit, p1.action, p1.entity_id, p1.timestamp \n"
|
||||
|
@ -750,6 +755,16 @@ public class PiwikStatsDB {
|
|||
stmt.executeUpdate(sql);
|
||||
logger.info("Dropped sarc_sushilogtmp_json_non_array");
|
||||
|
||||
logger.info("Dropping piwiklogb2sharetmp");
|
||||
sql = "DROP TABLE " + ConnectDB.getUsageStatsDBSchema() + ".piwiklogb2sharetmp";
|
||||
stmt.executeUpdate(sql);
|
||||
logger.info("Dropped piwiklogb2sharetmp");
|
||||
|
||||
logger.info("Dropping piwiklog_b2share_tmp_json");
|
||||
sql = "DROP TABLE " + ConnectDB.getUsageStatsDBSchema() + ".piwiklog_b2share_tmp_json";
|
||||
stmt.executeUpdate(sql);
|
||||
logger.info("Dropped piwiklog_b2share_tmp_json");
|
||||
|
||||
stmt.close();
|
||||
ConnectDB.getHiveConnection().close();
|
||||
|
||||
|
@ -832,4 +847,32 @@ public class PiwikStatsDB {
|
|||
logger.info("PeDocs Old Downloads Table created");
|
||||
|
||||
}
|
||||
|
||||
public void createDatasetsUsageData() throws SQLException {
|
||||
Statement stmt = ConnectDB.getHiveConnection().createStatement();
|
||||
ConnectDB.getHiveConnection().setAutoCommit(false);
|
||||
|
||||
logger.info("Dropping datacite_views");
|
||||
String sql = "DROP TABLE " + ConnectDB.getUsageStatsDBSchema() + ".datacite_views";
|
||||
stmt.executeUpdate(sql);
|
||||
logger.info("Dropped datacite_views");
|
||||
|
||||
logger.info("Dropping datacite_downloads");
|
||||
sql = "DROP TABLE " + ConnectDB.getUsageStatsDBSchema() + ".datacite_downloads";
|
||||
stmt.executeUpdate(sql);
|
||||
logger.info("Dropped datacite_downloads");
|
||||
|
||||
logger.info("Creating Datasets Views Table");
|
||||
sql = "Create TABLE IF NOT EXISTS " + ConnectDB.getUsageStatsDBSchema()
|
||||
+ ".datacite_views as select * from openaire_prod_datacite_usage_stats.datacite_views";
|
||||
stmt.executeUpdate(sql);
|
||||
logger.info("Datasets Views Table created");
|
||||
|
||||
logger.info("Creating Datasets Downloads Table");
|
||||
sql = "Create TABLE IF NOT EXISTS " + ConnectDB.getUsageStatsDBSchema()
|
||||
+ ".datacite_downloads as select * from openaire_prod_datacite_usage_stats.datacite_downloads";
|
||||
stmt.executeUpdate(sql);
|
||||
logger.info("Datasets Downloads Table created");
|
||||
|
||||
}
|
||||
}
|
||||
|
|
|
@ -142,8 +142,20 @@ public class UsageStatsExporter {
|
|||
sarcStats.updateSarcLogs();
|
||||
}
|
||||
logger.info("Sarc done");
|
||||
// finalize usagestats
|
||||
|
||||
PiwikDownloadLogs_B2SHARE b2sharePiwikID = new PiwikDownloadLogs_B2SHARE(ExecuteWorkflow.matomoBaseURL,
|
||||
ExecuteWorkflow.matomoAuthToken);
|
||||
b2sharePiwikID.GetOpenAIREB2SHARELogs(ExecuteWorkflow.repoLogPath);
|
||||
logger.info("B2SHARE done");
|
||||
|
||||
PiwikStatsDB_B2SHARE piwikstatsB2SHAREdb = new PiwikStatsDB_B2SHARE(ExecuteWorkflow.repoLogPath,
|
||||
ExecuteWorkflow.portalLogPath);
|
||||
piwikstatsB2SHAREdb.setCounterRobotsURL(cRobotsUrl);
|
||||
|
||||
logger.info("Processing B2SHARE logs");
|
||||
piwikstatsB2SHAREdb.processB2SHARELogs();
|
||||
|
||||
// finalize usagestats
|
||||
logger.info("Dropping tmp tables");
|
||||
if (ExecuteWorkflow.finalizeStats) {
|
||||
piwikstatsdb.finalizeStats();
|
||||
|
@ -161,6 +173,7 @@ public class UsageStatsExporter {
|
|||
piwikstatsdb.recreateDBAndTables();
|
||||
|
||||
piwikstatsdb.createPedocsOldUsageData();
|
||||
|
||||
Statement stmt = ConnectDB.getHiveConnection().createStatement();
|
||||
|
||||
logger.info("Creating LaReferencia tables");
|
||||
|
|
|
@ -215,5 +215,11 @@
|
|||
"paramLongName": "numberOfDownloadThreads",
|
||||
"paramDescription": "Number of download threads",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "b2shareID",
|
||||
"paramLongName": "b2shareID",
|
||||
"paramDescription": "B2SHARE Matomo ID",
|
||||
"paramRequired": true
|
||||
}
|
||||
]
|
||||
|
|
|
@ -1,4 +1,4 @@
|
|||
<workflow-app name="Usage Graph Stats" xmlns="uri:oozie:workflow:0.5">
|
||||
<workflow-app name="Usage Activity Raw Data" xmlns="uri:oozie:workflow:0.5">
|
||||
<parameters>
|
||||
<property>
|
||||
<name>hiveMetastoreUris</name>
|
||||
|
@ -78,6 +78,7 @@
|
|||
<arg>--sarcNumberOfIssnToDownload</arg><arg>${sarcNumberOfIssnToDownload}</arg>
|
||||
<arg>--finalizeStats</arg><arg>${finalizeStats}</arg>
|
||||
<arg>--numberOfDownloadThreads</arg><arg>${numberOfDownloadThreads}</arg>
|
||||
<arg>--b2shareID</arg><arg>${b2shareID}</arg>
|
||||
<capture-output/>
|
||||
</java>
|
||||
<ok to="End" />
|
||||
|
|
|
@ -82,7 +82,7 @@ public abstract class ConnectDB {
|
|||
Date today = Calendar.getInstance().getTime();
|
||||
String todayAsString = df.format(today);
|
||||
|
||||
return ConnectDB.usageStatsDBSchema + "_" + todayAsString;
|
||||
return ConnectDB.usageStatsDBSchema + todayAsString;
|
||||
}
|
||||
|
||||
public static String getStatsDBSchema() {
|
||||
|
|
|
@ -35,20 +35,20 @@ public class PiwikStatsDB {
|
|||
|
||||
private void createDatabase() throws Exception {
|
||||
|
||||
// try {
|
||||
//
|
||||
// stmt = ConnectDB.getHiveConnection().createStatement();
|
||||
//
|
||||
// logger.info("Dropping usagestats DB: " + ConnectDB.getUsageStatsDBSchema());
|
||||
// String dropDatabase = "DROP DATABASE IF EXISTS " + ConnectDB.getUsageStatsDBSchema() + " 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("Dropping usagestats DB: " + ConnectDB.getUsageStatsDBSchema());
|
||||
String dropDatabase = "DROP DATABASE IF EXISTS " + ConnectDB.getUsageStatsDBSchema() + " 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 {
|
||||
|
||||
logger.info("Creating usagestats DB: " + ConnectDB.getUsageStatsDBSchema());
|
||||
String createDatabase = "CREATE DATABASE IF NOT EXISTS " + ConnectDB.getUsageStatsDBSchema();
|
||||
stmt.executeUpdate(createDatabase);
|
||||
|
@ -337,6 +337,96 @@ public class PiwikStatsDB {
|
|||
|
||||
}
|
||||
|
||||
public void uploadB2SHAREStats() throws Exception {
|
||||
stmt = ConnectDB.getHiveConnection().createStatement();
|
||||
ConnectDB.getHiveConnection().setAutoCommit(false);
|
||||
|
||||
// Dropping B2SHARE b2share_result_views_monthly_tmp view
|
||||
logger.info("Dropping B2SHARE b2share_result_views_monthly_tmp view");
|
||||
String sql = "DROP view IF EXISTS " + ConnectDB.getUsageStatsDBSchema() + ".b2share_result_views_monthly_tmp";
|
||||
logger.info("Dropped b2share_result_views_monthly_tmp view ");
|
||||
stmt.executeUpdate(sql);
|
||||
|
||||
// Dropping B2SHARE b2share_result_views_monthly_tmp view
|
||||
logger.info("Dropping b2SHARE b2share_result_downloads_monthly_tmp view");
|
||||
sql = "DROP view IF EXISTS " + ConnectDB.getUsageStatsDBSchema() + ".b2share_result_downloads_monthly_tmp";
|
||||
logger.info("Dropped b2share_result_downloads_monthly_tmp view ");
|
||||
stmt.executeUpdate(sql);
|
||||
|
||||
// Dropping B2SHARE b2share_views_stats_tmp table
|
||||
logger.info("Dropping B2SHARE b2share_views_stats_tmp table");
|
||||
sql = "DROP TABLE IF EXISTS " + ConnectDB.getUsageStatsDBSchema() + ".b2share_views_stats_tmp";
|
||||
logger.info("Dropped b2share_views_stats_tmp table ");
|
||||
stmt.executeUpdate(sql);
|
||||
|
||||
// Dropping B2SHARE b2share_downloads_stats_tmp table
|
||||
logger.info("Dropping B2SHARE b2share_downloads_stats_tmp table");
|
||||
sql = "DROP TABLE IF EXISTS " + ConnectDB.getUsageStatsDBSchema() + ".b2share_downloads_stats_tmp";
|
||||
logger.info("Dropped b2share_downloads_stats_tmp table ");
|
||||
stmt.executeUpdate(sql);
|
||||
|
||||
// Creating B2SHARE b2share_result_views_monthly_tmp view
|
||||
logger.info("Creating B2SHARE b2share_result_views_monthly_tmp view");
|
||||
sql = "CREATE OR REPLACE VIEW " + ConnectDB.getUsageStatsDBSchema() + ".b2share_result_views_monthly_tmp "
|
||||
+ "AS SELECT entity_id, reflect('java.net.URLDecoder', 'decode', 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() + ".piwiklog "
|
||||
+ "WHERE action='action' and (source_item_type='oaItem' or source_item_type='repItem') and source=412 "
|
||||
+ "GROUP BY entity_id, CONCAT(YEAR(timestamp), '/', LPAD(MONTH(timestamp), 2, '0')), source ORDER BY source, entity_id";
|
||||
stmt.executeUpdate(sql);
|
||||
logger.info("Created b2share_result_views_monthly_tmp view ");
|
||||
|
||||
// Creating B2SHARE b2share_views_stats_tmp table
|
||||
logger.info("Creating B2SHARE b2share_views_stats_tmp table");
|
||||
sql = "CREATE TABLE IF NOT EXISTS " + ConnectDB.getUsageStatsDBSchema() + ".b2share_views_stats_tmp AS "
|
||||
+ "SELECT 'B2SHARE' 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()
|
||||
+ ".b2share_result_views_monthly_tmp p, "
|
||||
+ ConnectDB.getStatsDBSchema() + ".datasource d, " + ConnectDB.getStatsDBSchema() + ".result_oids ro "
|
||||
+ "WHERE p.id=ro.oid and d.id='re3data_____::ad3609c351bd520edf6f10f5e0d9b877' "
|
||||
+ "GROUP BY d.id, ro.id, month ORDER BY d.id, ro.id";
|
||||
stmt.executeUpdate(sql);
|
||||
logger.info("Created B2SHARE b2share_views_stats_tmp table");
|
||||
|
||||
// Creating B2SHARE b2share_result_downloads_monthly_tmp view
|
||||
logger.info("Creating B2SHARE b2share_result_downloads_monthly_tmp view");
|
||||
sql = "CREATE OR REPLACE VIEW " + ConnectDB.getUsageStatsDBSchema() + ".b2share_result_downloads_monthly_tmp "
|
||||
+ "AS SELECT entity_id, reflect('java.net.URLDecoder', 'decode', 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() + ".piwiklog "
|
||||
+ "WHERE action='download' and (source_item_type='oaItem' or source_item_type='repItem') and source=412 "
|
||||
+ "GROUP BY entity_id, CONCAT(YEAR(timestamp), '/', LPAD(MONTH(timestamp), 2, '0')), source ORDER BY source, entity_id";
|
||||
stmt.executeUpdate(sql);
|
||||
logger.info("Created b2share_result_downloads_monthly_tmp view ");
|
||||
|
||||
// Creating B2SHARE b2share_downloads_stats_tmp table
|
||||
logger.info("Creating B2SHARE b2share_downloads_stats_tmp table");
|
||||
sql = "CREATE TABLE IF NOT EXISTS " + ConnectDB.getUsageStatsDBSchema() + ".b2share_downloads_stats_tmp AS "
|
||||
+ "SELECT 'B2SHARE' 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()
|
||||
+ ".b2share_result_downloads_monthly_tmp p, "
|
||||
+ ConnectDB.getStatsDBSchema() + ".datasource d, " + ConnectDB.getStatsDBSchema() + ".result_oids ro "
|
||||
+ "WHERE p.id=ro.oid and d.id='re3data_____::ad3609c351bd520edf6f10f5e0d9b877' "
|
||||
+ "GROUP BY d.id, ro.id, month ORDER BY d.id, ro.id";
|
||||
stmt.executeUpdate(sql);
|
||||
logger.info("Created B2SHARE b2share_downloads_stats_tmp table");
|
||||
|
||||
// Dropping B2SHARE b2share_result_views_monthly_tmp view
|
||||
logger.info("Dropping B2SHARE b2share_result_views_monthly_tmp view");
|
||||
sql = "DROP view IF EXISTS " + ConnectDB.getUsageStatsDBSchema() + ".b2share_result_views_monthly_tmp";
|
||||
logger.info("Dropped b2share_result_views_monthly_tmp view ");
|
||||
stmt.executeUpdate(sql);
|
||||
|
||||
// Dropping B2SHARE b2share_result_views_monthly_tmp view
|
||||
logger.info("Dropping B2SHARE b2share_result_downloads_monthly_tmp view");
|
||||
sql = "DROP view IF EXISTS " + ConnectDB.getUsageStatsDBSchema() + ".b2share_result_downloads_monthly_tmp";
|
||||
logger.info("Dropped b2share_result_downloads_monthly_tmp view ");
|
||||
stmt.executeUpdate(sql);
|
||||
|
||||
}
|
||||
|
||||
public void finalizeStats() throws Exception {
|
||||
stmt = ConnectDB.getHiveConnection().createStatement();
|
||||
ConnectDB.getHiveConnection().setAutoCommit(false);
|
||||
|
@ -402,6 +492,13 @@ public class PiwikStatsDB {
|
|||
stmt.executeUpdate(sql);
|
||||
logger.info("LaReferencia views updated to views_stats");
|
||||
|
||||
// Inserting B2SHARE views stats
|
||||
logger.info("Inserting B2SHARE data to views_stats");
|
||||
sql = "INSERT INTO " + ConnectDB.getUsageStatsDBSchema() + ".views_stats "
|
||||
+ "SELECT * FROM " + ConnectDB.getUsageStatsDBSchema() + ".b2share_views_stats_tmp";
|
||||
stmt.executeUpdate(sql);
|
||||
logger.info("B2SHARE views updated to views_stats");
|
||||
|
||||
logger.info("Creating downloads_stats table");
|
||||
String createDownloadsStats = "CREATE TABLE IF NOT EXISTS "
|
||||
+ ConnectDB.getUsageStatsDBSchema()
|
||||
|
@ -425,12 +522,18 @@ public class PiwikStatsDB {
|
|||
logger.info("Inserted Pedocs data to downloads_stats");
|
||||
|
||||
// Inserting TUDELFT downloads stats
|
||||
logger.info("Inserting TUDELFT old data to downloads_stats");
|
||||
logger.info("Inserting TUDELFT data to downloads_stats");
|
||||
sql = "INSERT INTO " + ConnectDB.getUsageStatsDBSchema() + ".downloads_stats "
|
||||
+ "SELECT * FROM " + ConnectDB.getUsageStatsDBSchema() + ".tudelft_downloads_stats_tmp";
|
||||
stmt.executeUpdate(sql);
|
||||
logger.info("Inserted TUDELFT data to downloads_stats");
|
||||
|
||||
// Inserting B2SHARE downloads stats
|
||||
logger.info("Inserting B2SHARE data to downloads_stats");
|
||||
sql = "INSERT INTO " + ConnectDB.getUsageStatsDBSchema() + ".downloads_stats "
|
||||
+ "SELECT * FROM " + ConnectDB.getUsageStatsDBSchema() + ".b2share_downloads_stats_tmp";
|
||||
stmt.executeUpdate(sql);
|
||||
logger.info("Inserted B2SHARE data to downloads_stats");
|
||||
// Inserting Lareferencia downloads stats
|
||||
logger.info("Inserting LaReferencia data to downloads_stats");
|
||||
sql = "INSERT INTO " + ConnectDB.getUsageStatsDBSchema() + ".downloads_stats "
|
||||
|
@ -452,6 +555,20 @@ public class PiwikStatsDB {
|
|||
stmt.executeUpdate(sql);
|
||||
logger.info("SARC-OJS downloads updated to downloads_stats");
|
||||
|
||||
// Inserting Datacite views stats
|
||||
logger.info("Inserting Datacite views to views_stats");
|
||||
sql = "INSERT INTO " + ConnectDB.getUsageStatsDBSchema() + ".views_stats "
|
||||
+ "SELECT * FROM " + ConnectDB.getUsageRawDataDBSchema() + ".datacite_views";
|
||||
stmt.executeUpdate(sql);
|
||||
logger.info("Datacite views updated to views_stats");
|
||||
|
||||
// Inserting Datacite downloads stats
|
||||
logger.info("Inserting Datacite downloads to downloads_stats");
|
||||
sql = "INSERT INTO " + ConnectDB.getUsageStatsDBSchema() + ".downloads_stats "
|
||||
+ "SELECT * FROM " + ConnectDB.getUsageRawDataDBSchema() + ".datacite_downloads";
|
||||
stmt.executeUpdate(sql);
|
||||
logger.info("Datacite downloads updated to downloads_stats");
|
||||
|
||||
logger.info("Creating pageviews_stats table");
|
||||
String create_pageviews_stats = "CREATE TABLE IF NOT EXISTS " + ConnectDB.getUsageStatsDBSchema()
|
||||
+ ".pageviews_stats "
|
||||
|
|
|
@ -51,6 +51,9 @@ public class UsageStatsExporter {
|
|||
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");
|
||||
|
||||
}
|
||||
|
||||
|
|
|
@ -1,4 +1,4 @@
|
|||
<workflow-app name="Usage Graph Stats" xmlns="uri:oozie:workflow:0.5">
|
||||
<workflow-app name="Usage Stats Update" xmlns="uri:oozie:workflow:0.5">
|
||||
<parameters>
|
||||
<property>
|
||||
<name>hiveMetastoreUris</name>
|
||||
|
|
Loading…
Reference in New Issue