StatsDB workflow to export actionsets about OA routes, diamond, and publicly-funded
A new oozie workflow capable to read from the stats db to produce a new actionSet for updating results with: - green_oa ={true, false} - openAccesColor = {gold, hybrid, bronze} - in_diamond_journal={true, false} - publicly_funded={true, false} Inputs: - outputPath - statsDB
This commit is contained in:
parent
a870aa2b09
commit
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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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<modelVersion>4.0.0</modelVersion>
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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>1.2.5-SNAPSHOT</version>
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</parent>
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<artifactId>dhp-stats-actionsets</artifactId>
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||||
<!-- <build>-->
|
||||
<!-- <plugins>-->
|
||||
<!-- <plugin>-->
|
||||
<!-- <groupId>net.alchim31.maven</groupId>-->
|
||||
<!-- <artifactId>scala-maven-plugin</artifactId>-->
|
||||
<!-- <version>${net.alchim31.maven.version}</version>-->
|
||||
<!-- <executions>-->
|
||||
<!-- <execution>-->
|
||||
<!-- <id>scala-compile-first</id>-->
|
||||
<!-- <phase>initialize</phase>-->
|
||||
<!-- <goals>-->
|
||||
<!-- <goal>add-source</goal>-->
|
||||
<!-- <goal>compile</goal>-->
|
||||
<!-- </goals>-->
|
||||
<!-- </execution>-->
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||||
<!-- <execution>-->
|
||||
<!-- <id>scala-test-compile</id>-->
|
||||
<!-- <phase>process-test-resources</phase>-->
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||||
<!-- <goals>-->
|
||||
<!-- <goal>testCompile</goal>-->
|
||||
<!-- </goals>-->
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||||
<!-- </execution>-->
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||||
<!-- <execution>-->
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||||
<!-- <id>scala-doc</id>-->
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||||
<!-- <phase>process-resources</phase> <!– or wherever –>-->
|
||||
<!-- <goals>-->
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||||
<!-- <goal>doc</goal>-->
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||||
<!-- </goals>-->
|
||||
<!-- </execution>-->
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||||
<!-- </executions>-->
|
||||
<!-- <configuration>-->
|
||||
<!-- <scalaVersion>${scala.version}</scalaVersion>-->
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||||
<!-- </configuration>-->
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||||
<!-- </plugin>-->
|
||||
<!-- </plugins>-->
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||||
|
||||
<!-- </build>-->
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||||
|
||||
<dependencies>
|
||||
|
||||
<dependency>
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||||
<groupId>org.apache.httpcomponents</groupId>
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||||
<artifactId>httpclient</artifactId>
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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-core_2.11</artifactId>
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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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</dependency>
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|
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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>net.sf.saxon</groupId>
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<artifactId>Saxon-HE</artifactId>
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</dependency>
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<dependency>
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<groupId>dom4j</groupId>
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<artifactId>dom4j</artifactId>
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</dependency>
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|
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<dependency>
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<groupId>xml-apis</groupId>
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<artifactId>xml-apis</artifactId>
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||||
</dependency>
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|
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<dependency>
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<groupId>jaxen</groupId>
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<artifactId>jaxen</artifactId>
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</dependency>
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|
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<dependency>
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<groupId>org.json</groupId>
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<artifactId>json</artifactId>
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</dependency>
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|
||||
<!-- https://mvnrepository.com/artifact/org.apache.poi/poi-ooxml -->
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<dependency>
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<groupId>org.apache.poi</groupId>
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<artifactId>poi-ooxml</artifactId>
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</dependency>
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||||
|
||||
<!-- https://mvnrepository.com/artifact/org.apache.commons/commons-compress -->
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<dependency>
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<groupId>org.apache.commons</groupId>
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<artifactId>commons-compress</artifactId>
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</dependency>
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|
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<dependency>
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<groupId>org.mongodb</groupId>
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<artifactId>mongo-java-driver</artifactId>
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</dependency>
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</dependencies>
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</project>
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@ -0,0 +1,102 @@
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package eu.dnetlib.dhp.actionmanager;
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import java.util.Optional;
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import org.apache.spark.api.java.function.MapFunction;
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import org.apache.spark.sql.Dataset;
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import org.apache.spark.sql.Encoders;
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import org.apache.spark.sql.SparkSession;
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import com.fasterxml.jackson.databind.ObjectMapper;
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import eu.dnetlib.dhp.application.ArgumentApplicationParser;
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import eu.dnetlib.dhp.schema.common.ModelConstants;
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import eu.dnetlib.dhp.schema.oaf.StructuredProperty;
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import eu.dnetlib.dhp.schema.oaf.Subject;
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import eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils;
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public class Constants {
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public static final String DOI = "doi";
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public static final String DOI_CLASSNAME = "Digital Object Identifier";
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public static final String DEFAULT_DELIMITER = ",";
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public static final String DEFAULT_FOS_DELIMITER = "\t";
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public static final String UPDATE_DATA_INFO_TYPE = "update";
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// public static final String UPDATE_SUBJECT_FOS_CLASS_ID = "subject:fos";
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public static final String UPDATE_CLASS_NAME = "Inferred by OpenAIRE";
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// public static final String UPDATE_MEASURE_BIP_CLASS_ID = "measure:bip";
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// public static final String UPDATE_SUBJECT_SDG_CLASS_ID = "subject:sdg";
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// public static final String UPDATE_MEASURE_USAGE_COUNTS_CLASS_ID = "measure:usage_counts";
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// public static final String UPDATE_KEY_USAGE_COUNTS = "count";
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public static final String UPDATE_MEASURE_STATS_MODEL_CLASS_ID = "measure:stats_model";
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public static final String UPDATE_KEY_STATS_MODEL = "stats_model";
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// public static final String UPDATE_MEASURE_PUBLICLY_FUNDED_CLASS_ID = "measure:publicly_funded";
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// public static final String UPDATE_KEY_PUBLICLY_FUNDED = "publicly_funded";
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// public static final String FOS_CLASS_ID = "FOS";
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// public static final String FOS_CLASS_NAME = "Fields of Science and Technology classification";
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//
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// public static final String SDG_CLASS_ID = "SDG";
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// public static final String SDG_CLASS_NAME = "Sustainable Development Goals";
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public static final String NULL = "NULL";
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public static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
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private Constants() {
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}
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public static Boolean isSparkSessionManaged(ArgumentApplicationParser parser) {
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return Optional
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.ofNullable(parser.get("isSparkSessionManaged"))
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.map(Boolean::valueOf)
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.orElse(Boolean.TRUE);
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}
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public static <R> Dataset<R> readPath(
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SparkSession spark, String inputPath, Class<R> clazz) {
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return spark
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.read()
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.textFile(inputPath)
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.map((MapFunction<String, R>) value -> OBJECT_MAPPER.readValue(value, clazz), Encoders.bean(clazz));
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}
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public static Subject getSubject(String sbj, String classid, String classname,
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String diqualifierclassid) {
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if (sbj == null || sbj.equals(NULL))
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return null;
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Subject s = new Subject();
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s.setValue(sbj);
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s
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.setQualifier(
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OafMapperUtils
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.qualifier(
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classid,
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classname,
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ModelConstants.DNET_SUBJECT_TYPOLOGIES,
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ModelConstants.DNET_SUBJECT_TYPOLOGIES));
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s
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.setDataInfo(
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OafMapperUtils
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.dataInfo(
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false,
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UPDATE_DATA_INFO_TYPE,
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true,
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false,
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OafMapperUtils
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.qualifier(
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diqualifierclassid,
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UPDATE_CLASS_NAME,
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ModelConstants.DNET_PROVENANCE_ACTIONS,
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ModelConstants.DNET_PROVENANCE_ACTIONS),
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""));
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return s;
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|
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}
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}
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@ -0,0 +1,286 @@
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package eu.dnetlib.dhp.actionmanager.stats_actionsets;
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import static eu.dnetlib.dhp.actionmanager.Constants.*;
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import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkHiveSession;
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import java.io.Serializable;
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import java.util.ArrayList;
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import java.util.Arrays;
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import java.util.List;
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import java.util.Optional;
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import org.apache.commons.io.IOUtils;
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import org.apache.hadoop.io.Text;
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import org.apache.hadoop.mapred.SequenceFileOutputFormat;
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import org.apache.spark.SparkConf;
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import org.apache.spark.api.java.function.MapFunction;
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import org.apache.spark.api.java.function.MapGroupsFunction;
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import org.apache.spark.sql.Dataset;
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import org.apache.spark.sql.Encoders;
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import org.apache.spark.sql.SaveMode;
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import org.apache.spark.sql.SparkSession;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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import com.fasterxml.jackson.databind.ObjectMapper;
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|
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import eu.dnetlib.dhp.application.ArgumentApplicationParser;
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import eu.dnetlib.dhp.common.HdfsSupport;
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import eu.dnetlib.dhp.schema.action.AtomicAction;
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import eu.dnetlib.dhp.schema.common.ModelConstants;
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import eu.dnetlib.dhp.schema.oaf.*;
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import eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils;
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import scala.Tuple2;
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/**
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* created the Atomic Action for each type of results
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*/
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public class StatsAtomicActionsJob implements Serializable {
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private static final Logger log = LoggerFactory.getLogger(StatsAtomicActionsJob.class);
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private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
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public static <I extends Result> void main(String[] args) throws Exception {
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String jsonConfiguration = IOUtils
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.toString(
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StatsAtomicActionsJob.class
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.getResourceAsStream(
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"/eu/dnetlib/dhp/actionmanager/stats_actionsets/input_actionset_parameter.json"));
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final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
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parser.parseArgument(args);
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Boolean isSparkSessionManaged = Optional
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.ofNullable(parser.get("isSparkSessionManaged"))
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.map(Boolean::valueOf)
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.orElse(Boolean.TRUE);
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log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
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final String outputPath = parser.get("outputPath");
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log.info("outputPath {}: ", outputPath);
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SparkConf conf = new SparkConf();
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conf.set("hive.metastore.uris", parser.get("hive_metastore_uris"));
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final String dbname = parser.get("statsDB");
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final String workingPath = parser.get("workingPath");
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runWithSparkHiveSession(
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conf,
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isSparkSessionManaged,
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spark -> {
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removeOutputDir(spark, outputPath);
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prepareGreenData(dbname, spark, workingPath + "/greenOADB", "indi_pub_green_oa", "id");
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prepareDiamondData(dbname, spark, workingPath + "/diamondOADΒ", "indi_pub_diamond", "id");
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preparePubliclyFundedData(
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dbname, spark, workingPath + "/publiclyFundedDΒ", "indi_funded_result_with_fundref", "id");
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prepareOAColourData(dbname, spark, workingPath + "/oacolourDB", "", "id");
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writeActionSet(spark, workingPath, outputPath);
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});
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}
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private static void prepareGreenData(String dbname, SparkSession spark, String workingPath, String tableName,
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String resultAttributeName) {
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spark
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.sql(
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String
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.format(
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"select %s as id, green_oa as green_oa " +
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"from %s.%s",
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resultAttributeName, dbname, tableName))
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.as(Encoders.bean(StatsGreenOAModel.class))
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.write()
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.mode(SaveMode.Overwrite)
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.option("compression", "gzip")
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.json(workingPath);
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}
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private static void prepareDiamondData(String dbname, SparkSession spark, String workingPath, String tableName,
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String resultAttributeName) {
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spark
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.sql(
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String
|
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.format(
|
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"select %s as id, in_diamond_journal as in_diamond_journal " +
|
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"from %s.%s",
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resultAttributeName, dbname, tableName))
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.as(Encoders.bean(StatsDiamondOAModel.class))
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.write()
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.mode(SaveMode.Overwrite)
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.option("compression", "gzip")
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.json(workingPath);
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}
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private static void preparePubliclyFundedData(String dbname, SparkSession spark, String workingPath,
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String tableName,
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String resultAttributeName) {
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spark
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.sql(
|
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String
|
||||
.format(
|
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"select %s as id, fundref as publicly_funded " +
|
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"from %s.%s",
|
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resultAttributeName, dbname, tableName))
|
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.as(Encoders.bean(StatsPubliclyFundedModel.class))
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.write()
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.mode(SaveMode.Overwrite)
|
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.option("compression", "gzip")
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.json(workingPath);
|
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}
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private static void prepareOAColourData(String dbname, SparkSession spark, String workingPath, String tableName,
|
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String resultAttributeName) {
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spark
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.sql(
|
||||
String
|
||||
.format(
|
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"select b.%s as id, is_gold, is_bronze_oa, is_hybrid from %s.indi_pub_bronze_oa b " +
|
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"left outer join %s.indi_pub_gold_oa g on g.id=b.id " +
|
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"left outer join %s.indi_pub_hybrid h on b.id=h.id",
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resultAttributeName, dbname, dbname, dbname))
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.as(Encoders.bean(StatsOAColourModel.class))
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.write()
|
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.mode(SaveMode.Overwrite)
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.option("compression", "gzip")
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.json(workingPath);
|
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}
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public static void writeActionSet(SparkSession spark, String inputPath, String outputPath) {
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getFinalIndicatorsGreenResult(spark, inputPath + "/greenOADB")
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.toJavaRDD()
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.map(p -> new AtomicAction(p.getClass(), p))
|
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.union(
|
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getFinalIndicatorsDiamondResult(spark, inputPath + "/diamondOADΒ")
|
||||
.toJavaRDD()
|
||||
.map(p -> new AtomicAction(p.getClass(), p)))
|
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.union(
|
||||
getFinalIndicatorsPubliclyFundedResult(spark, inputPath + "/publiclyFundedDΒ")
|
||||
.toJavaRDD()
|
||||
.map(p -> new AtomicAction(p.getClass(), p)))
|
||||
.union(
|
||||
getFinalIndicatorsOAColourResult(spark, inputPath + "/oacolourDB")
|
||||
.toJavaRDD()
|
||||
.map(p -> new AtomicAction(p.getClass(), p)))
|
||||
.mapToPair(
|
||||
aa -> new Tuple2<>(new Text(aa.getClazz().getCanonicalName()),
|
||||
new Text(OBJECT_MAPPER.writeValueAsString(aa))))
|
||||
.saveAsHadoopFile(outputPath, Text.class, Text.class, SequenceFileOutputFormat.class);
|
||||
}
|
||||
|
||||
public static Measure newMeasureInstance(String id) {
|
||||
Measure m = new Measure();
|
||||
m.setId(id);
|
||||
m.setUnit(new ArrayList<>());
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return m;
|
||||
}
|
||||
|
||||
private static Dataset<Result> getFinalIndicatorsGreenResult(SparkSession spark, String inputPath) {
|
||||
|
||||
return readPath(spark, inputPath, StatsGreenOAModel.class)
|
||||
.map((MapFunction<StatsGreenOAModel, Result>) usm -> {
|
||||
Result r = new Result();
|
||||
r.setId("50|" + usm.getId());
|
||||
r.setMeasures(getMeasure(usm.isGreen_oa(), "green_oa"));
|
||||
return r;
|
||||
}, Encoders.bean(Result.class));
|
||||
}
|
||||
|
||||
private static Dataset<Result> getFinalIndicatorsDiamondResult(SparkSession spark, String inputPath) {
|
||||
|
||||
return readPath(spark, inputPath, StatsDiamondOAModel.class)
|
||||
.map((MapFunction<StatsDiamondOAModel, Result>) usm -> {
|
||||
Result r = new Result();
|
||||
r.setId("50|" + usm.getId());
|
||||
r.setMeasures(getMeasure(usm.isIn_diamond_journal(), "in_diamond_journal"));
|
||||
return r;
|
||||
}, Encoders.bean(Result.class));
|
||||
}
|
||||
|
||||
private static Dataset<Result> getFinalIndicatorsPubliclyFundedResult(SparkSession spark, String inputPath) {
|
||||
|
||||
return readPath(spark, inputPath, StatsPubliclyFundedModel.class)
|
||||
.map((MapFunction<StatsPubliclyFundedModel, Result>) usm -> {
|
||||
Result r = new Result();
|
||||
r.setId("50|" + usm.getId());
|
||||
r.setMeasures(getMeasure(usm.isPublicly_funded(), "publicly_funded"));
|
||||
return r;
|
||||
}, Encoders.bean(Result.class));
|
||||
}
|
||||
|
||||
private static Dataset<Result> getFinalIndicatorsOAColourResult(SparkSession spark, String inputPath) {
|
||||
|
||||
return readPath(spark, inputPath, StatsOAColourModel.class)
|
||||
.map((MapFunction<StatsOAColourModel, Result>) usm -> {
|
||||
Result r = new Result();
|
||||
r.setId("50|" + usm.getId());
|
||||
r.setMeasures(getMeasureOAColour(usm.isIs_gold(), usm.isIs_bronze_oa(), usm.isIs_hybrid()));
|
||||
return r;
|
||||
}, Encoders.bean(Result.class));
|
||||
}
|
||||
|
||||
private static List<Measure> getMeasure(Boolean is_model_oa, String model_type) {
|
||||
DataInfo dataInfo = OafMapperUtils
|
||||
.dataInfo(
|
||||
false,
|
||||
UPDATE_DATA_INFO_TYPE,
|
||||
true,
|
||||
false,
|
||||
OafMapperUtils
|
||||
.qualifier(
|
||||
UPDATE_MEASURE_STATS_MODEL_CLASS_ID,
|
||||
UPDATE_CLASS_NAME,
|
||||
ModelConstants.DNET_PROVENANCE_ACTIONS,
|
||||
ModelConstants.DNET_PROVENANCE_ACTIONS),
|
||||
"");
|
||||
|
||||
return Arrays
|
||||
.asList(
|
||||
OafMapperUtils
|
||||
.newMeasureInstance(model_type, String.valueOf(is_model_oa), UPDATE_KEY_STATS_MODEL, dataInfo));
|
||||
}
|
||||
|
||||
private static List<Measure> getMeasureOAColour(Boolean is_gold, Boolean is_bronze_oa, Boolean is_hybrid) {
|
||||
DataInfo dataInfo = OafMapperUtils
|
||||
.dataInfo(
|
||||
false,
|
||||
UPDATE_DATA_INFO_TYPE,
|
||||
true,
|
||||
false,
|
||||
OafMapperUtils
|
||||
.qualifier(
|
||||
UPDATE_MEASURE_STATS_MODEL_CLASS_ID,
|
||||
UPDATE_CLASS_NAME,
|
||||
ModelConstants.DNET_PROVENANCE_ACTIONS,
|
||||
ModelConstants.DNET_PROVENANCE_ACTIONS),
|
||||
"");
|
||||
|
||||
return Arrays
|
||||
.asList(
|
||||
OafMapperUtils
|
||||
.newMeasureInstance("is_gold", String.valueOf(is_gold), UPDATE_KEY_STATS_MODEL, dataInfo),
|
||||
OafMapperUtils
|
||||
.newMeasureInstance("is_bronze_oa", String.valueOf(is_bronze_oa), UPDATE_KEY_STATS_MODEL, dataInfo),
|
||||
OafMapperUtils
|
||||
.newMeasureInstance("is_hybrid", String.valueOf(is_hybrid), UPDATE_KEY_STATS_MODEL, dataInfo));
|
||||
|
||||
}
|
||||
|
||||
private static void removeOutputDir(SparkSession spark, String path) {
|
||||
HdfsSupport.remove(path, spark.sparkContext().hadoopConfiguration());
|
||||
}
|
||||
|
||||
public static <R> Dataset<R> readPath(
|
||||
SparkSession spark, String inputPath, Class<R> clazz) {
|
||||
return spark
|
||||
.read()
|
||||
.textFile(inputPath)
|
||||
.map((MapFunction<String, R>) value -> OBJECT_MAPPER.readValue(value, clazz), Encoders.bean(clazz));
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,29 @@
|
|||
|
||||
package eu.dnetlib.dhp.actionmanager.stats_actionsets;
|
||||
|
||||
import java.io.Serializable;
|
||||
|
||||
/**
|
||||
* @author dimitris.pierrakos
|
||||
* @Date 30/10/23
|
||||
*/
|
||||
public class StatsDiamondOAModel implements Serializable {
|
||||
private String id;
|
||||
private boolean in_diamond_journal;
|
||||
|
||||
public String getId() {
|
||||
return id;
|
||||
}
|
||||
|
||||
public void setId(String id) {
|
||||
this.id = id;
|
||||
}
|
||||
|
||||
public boolean isIn_diamond_journal() {
|
||||
return in_diamond_journal;
|
||||
}
|
||||
|
||||
public void setIn_diamond_journal(boolean in_diamond_journal) {
|
||||
this.in_diamond_journal = in_diamond_journal;
|
||||
}
|
||||
}
|
|
@ -0,0 +1,29 @@
|
|||
|
||||
package eu.dnetlib.dhp.actionmanager.stats_actionsets;
|
||||
|
||||
import java.io.Serializable;
|
||||
|
||||
/**
|
||||
* @author dimitris.pierrakos
|
||||
* @Date 30/10/23
|
||||
*/
|
||||
public class StatsGreenOAModel implements Serializable {
|
||||
private String id;
|
||||
private boolean green_oa;
|
||||
|
||||
public String getId() {
|
||||
return id;
|
||||
}
|
||||
|
||||
public void setId(String id) {
|
||||
this.id = id;
|
||||
}
|
||||
|
||||
public boolean isGreen_oa() {
|
||||
return green_oa;
|
||||
}
|
||||
|
||||
public void setGreen_oa(boolean green_oa) {
|
||||
this.green_oa = green_oa;
|
||||
}
|
||||
}
|
|
@ -0,0 +1,47 @@
|
|||
|
||||
package eu.dnetlib.dhp.actionmanager.stats_actionsets;
|
||||
|
||||
import java.io.Serializable;
|
||||
|
||||
/**
|
||||
* @author dimitris.pierrakos
|
||||
* @Date 30/10/23
|
||||
*/
|
||||
public class StatsOAColourModel implements Serializable {
|
||||
private String id;
|
||||
private boolean is_gold;
|
||||
private boolean is_bronze_oa;
|
||||
private boolean is_hybrid;
|
||||
|
||||
public String getId() {
|
||||
return id;
|
||||
}
|
||||
|
||||
public void setId(String id) {
|
||||
this.id = id;
|
||||
}
|
||||
|
||||
public boolean isIs_gold() {
|
||||
return is_gold;
|
||||
}
|
||||
|
||||
public void setIs_gold(boolean is_gold) {
|
||||
this.is_gold = is_gold;
|
||||
}
|
||||
|
||||
public boolean isIs_bronze_oa() {
|
||||
return is_bronze_oa;
|
||||
}
|
||||
|
||||
public void setIs_bronze_oa(boolean is_bronze_oa) {
|
||||
this.is_bronze_oa = is_bronze_oa;
|
||||
}
|
||||
|
||||
public boolean isIs_hybrid() {
|
||||
return is_hybrid;
|
||||
}
|
||||
|
||||
public void setIs_hybrid(boolean is_hybrid) {
|
||||
this.is_hybrid = is_hybrid;
|
||||
}
|
||||
}
|
|
@ -0,0 +1,29 @@
|
|||
|
||||
package eu.dnetlib.dhp.actionmanager.stats_actionsets;
|
||||
|
||||
import java.io.Serializable;
|
||||
|
||||
/**
|
||||
* @author dimitris.pierrakos
|
||||
* @Date 30/10/23
|
||||
*/
|
||||
public class StatsPubliclyFundedModel implements Serializable {
|
||||
private String id;
|
||||
private boolean publicly_funded;
|
||||
|
||||
public String getId() {
|
||||
return id;
|
||||
}
|
||||
|
||||
public void setId(String id) {
|
||||
this.id = id;
|
||||
}
|
||||
|
||||
public boolean isPublicly_funded() {
|
||||
return publicly_funded;
|
||||
}
|
||||
|
||||
public void setPublicly_funded(boolean publicly_funded) {
|
||||
this.publicly_funded = publicly_funded;
|
||||
}
|
||||
}
|
|
@ -0,0 +1,32 @@
|
|||
[
|
||||
{
|
||||
"paramName": "issm",
|
||||
"paramLongName": "isSparkSessionManaged",
|
||||
"paramDescription": "when true will stop SparkSession after job execution",
|
||||
"paramRequired": false
|
||||
},
|
||||
{
|
||||
"paramName": "hmu",
|
||||
"paramLongName": "hive_metastore_uris",
|
||||
"paramDescription": "the URI for the hive metastore",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "o",
|
||||
"paramLongName": "outputPath",
|
||||
"paramDescription": "the path of the new ActionSet",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "sdb",
|
||||
"paramLongName": "statsDB",
|
||||
"paramDescription": "the name of the stats db to be used",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "wp",
|
||||
"paramLongName": "workingPath",
|
||||
"paramDescription": "the workingPath where to save the content of the usage_stats table",
|
||||
"paramRequired": true
|
||||
}
|
||||
]
|
|
@ -0,0 +1,30 @@
|
|||
<configuration>
|
||||
<property>
|
||||
<name>jobTracker</name>
|
||||
<value>yarnRM</value>
|
||||
</property>
|
||||
<property>
|
||||
<name>nameNode</name>
|
||||
<value>hdfs://nameservice1</value>
|
||||
</property>
|
||||
<property>
|
||||
<name>oozie.use.system.libpath</name>
|
||||
<value>true</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</value>
|
||||
</property>
|
||||
<property>
|
||||
<name>hiveDbName</name>
|
||||
<value>openaire</value>
|
||||
</property>
|
||||
<property>
|
||||
<name>oozie.launcher.mapreduce.user.classpath.first</name>
|
||||
<value>true</value>
|
||||
</property>
|
||||
</configuration>
|
|
@ -0,0 +1,125 @@
|
|||
<workflow-app name="StatsActionSets" xmlns="uri:oozie:workflow:0.5">
|
||||
<parameters>
|
||||
<property>
|
||||
<name>outputPath</name>
|
||||
<description>the path where to store the actionset</description>
|
||||
</property>
|
||||
<property>
|
||||
<name>statsDB</name>
|
||||
<description>the name of the stats db to be used</description>
|
||||
</property>
|
||||
<property>
|
||||
<name>sparkDriverMemory</name>
|
||||
<description>memory for driver process</description>
|
||||
</property>
|
||||
<property>
|
||||
<name>sparkExecutorMemory</name>
|
||||
<description>memory for individual executor</description>
|
||||
</property>
|
||||
<property>
|
||||
<name>sparkExecutorCores</name>
|
||||
<description>number of cores used by single executor</description>
|
||||
</property>
|
||||
<property>
|
||||
<name>oozieActionShareLibForSpark2</name>
|
||||
<description>oozie action sharelib for spark 2.*</description>
|
||||
</property>
|
||||
<property>
|
||||
<name>spark2ExtraListeners</name>
|
||||
<value>com.cloudera.spark.lineage.NavigatorAppListener</value>
|
||||
<description>spark 2.* extra listeners classname</description>
|
||||
</property>
|
||||
<property>
|
||||
<name>spark2SqlQueryExecutionListeners</name>
|
||||
<value>com.cloudera.spark.lineage.NavigatorQueryListener</value>
|
||||
<description>spark 2.* sql query execution listeners classname</description>
|
||||
</property>
|
||||
<property>
|
||||
<name>spark2YarnHistoryServerAddress</name>
|
||||
<description>spark 2.* yarn history server address</description>
|
||||
</property>
|
||||
<property>
|
||||
<name>spark2EventLogDir</name>
|
||||
<description>spark 2.* event log dir location</description>
|
||||
</property>
|
||||
</parameters>
|
||||
|
||||
<global>
|
||||
<job-tracker>${jobTracker}</job-tracker>
|
||||
<name-node>${nameNode}</name-node>
|
||||
<configuration>
|
||||
<property>
|
||||
<name>mapreduce.job.queuename</name>
|
||||
<value>${queueName}</value>
|
||||
</property>
|
||||
<property>
|
||||
<name>oozie.launcher.mapred.job.queue.name</name>
|
||||
<value>${oozieLauncherQueueName}</value>
|
||||
</property>
|
||||
<property>
|
||||
<name>oozie.action.sharelib.for.spark</name>
|
||||
<value>${oozieActionShareLibForSpark2}</value>
|
||||
</property>
|
||||
|
||||
</configuration>
|
||||
</global>
|
||||
<start to="atomicactionsStats"/>
|
||||
<kill name="Kill">
|
||||
<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
|
||||
</kill>
|
||||
|
||||
<action name="atomicactions">
|
||||
<spark xmlns="uri:oozie:spark-action:0.2">
|
||||
<master>yarn</master>
|
||||
<mode>cluster</mode>
|
||||
<name>Produces the atomic action with the usage stats count for results</name>
|
||||
<!-- <class>eu.dnetlib.dhp.actionmanager.stats_actionsets.SparkAtomicActionUsageJob</class>-->
|
||||
<class>eu.dnetlib.dhp.actionmanager.stats_actionsets.SparkAtomicActionGreenOAJob</class>
|
||||
<jar>dhp-stats-actionsets-${projectVersion}.jar</jar>
|
||||
<spark-opts>
|
||||
--executor-memory=${sparkExecutorMemory}
|
||||
--executor-cores=${sparkExecutorCores}
|
||||
--driver-memory=${sparkDriverMemory}
|
||||
--conf spark.extraListeners=${spark2ExtraListeners}
|
||||
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
|
||||
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
|
||||
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
|
||||
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
|
||||
</spark-opts>
|
||||
<arg>--hive_metastore_uris</arg><arg>${hiveMetastoreUris}</arg>
|
||||
<arg>--outputPath</arg><arg>${outputPath}</arg>
|
||||
<arg>--statsDB</arg><arg>${statsDB}</arg>
|
||||
<arg>--workingPath</arg><arg>${workingDir}</arg>
|
||||
</spark>
|
||||
<ok to="End"/>
|
||||
<error to="Kill"/>
|
||||
</action>
|
||||
|
||||
<action name="atomicactionsStats">
|
||||
<spark xmlns="uri:oozie:spark-action:0.2">
|
||||
<master>yarn</master>
|
||||
<mode>cluster</mode>
|
||||
<name>Produces the atomic action with the stats green_oa for results</name>
|
||||
<!-- <class>eu.dnetlib.dhp.actionmanager.stats_actionsets.SparkAtomicActionUsageJob</class>-->
|
||||
<class>eu.dnetlib.dhp.actionmanager.stats_actionsets.StatsAtomicActionsJob</class>
|
||||
<jar>dhp-stats-actionsets-${projectVersion}.jar</jar>
|
||||
<spark-opts>
|
||||
--executor-memory=${sparkExecutorMemory}
|
||||
--executor-cores=${sparkExecutorCores}
|
||||
--driver-memory=${sparkDriverMemory}
|
||||
--conf spark.extraListeners=${spark2ExtraListeners}
|
||||
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
|
||||
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
|
||||
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
|
||||
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
|
||||
</spark-opts>
|
||||
<arg>--hive_metastore_uris</arg><arg>${hiveMetastoreUris}</arg>
|
||||
<arg>--outputPath</arg><arg>${outputPath}</arg>
|
||||
<arg>--statsDB</arg><arg>${statsDB}</arg>
|
||||
<arg>--workingPath</arg><arg>${workingDir}</arg>
|
||||
</spark>
|
||||
<ok to="End"/>
|
||||
<error to="Kill"/>
|
||||
</action>
|
||||
<end name="End"/>
|
||||
</workflow-app>
|
|
@ -0,0 +1,12 @@
|
|||
# Set root logger level to DEBUG and its only appender to A1.
|
||||
log4j.rootLogger=INFO, A1
|
||||
|
||||
# A1 is set to be a ConsoleAppender.
|
||||
log4j.appender.A1=org.apache.log4j.ConsoleAppender
|
||||
|
||||
# A1 uses PatternLayout.
|
||||
log4j.appender.A1.layout=org.apache.log4j.PatternLayout
|
||||
log4j.appender.A1.layout.ConversionPattern=%-4r [%t] %-5p %c %x - %m%n
|
||||
|
||||
log4j.logger.org.apache.spark=FATAL
|
||||
log4j.logger.org.spark_project=FATAL
|
Loading…
Reference in New Issue