StatsDB workflow to export actionsets about OA routes, diamond, and publicly-funded #355
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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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<dependencies>
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dimitris.pierrakos marked this conversation as resolved
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<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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<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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<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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<dependency>
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<groupId>jaxen</groupId>
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<artifactId>jaxen</artifactId>
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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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</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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<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 +1,162 @@
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package eu.dnetlib.dhp.actionmanager.stats_actionsets;
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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.io.compress.GzipCodec;
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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.JavaPairRDD;
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import org.apache.spark.api.java.JavaRDD;
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import org.apache.spark.api.java.JavaSparkContext;
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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.*;
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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.apache.spark.sql.types.DataTypes;
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import org.apache.spark.sql.types.StructField;
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import org.apache.spark.sql.types.StructType;
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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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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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conf.set("spark.speculation", "false");
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conf.set("spark.hadoop.mapreduce.map.speculative", "false");
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conf.set("spark.hadoop.mapreduce.reduce.speculative", "false");
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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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prepareResultEnhancement(dbname, spark, workingPath + "/resultEnhancements", "id");
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writeActionSet(spark, workingPath, outputPath);
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});
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}
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private static void prepareResultEnhancement(String dbname, SparkSession spark, String workingPath,
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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 r.%s as id, is_gold, is_bronze_oa, is_hybrid,green_oa, in_diamond_journal,f.publicly_funded as publicly_funded "
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+
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"from %s.publication r " +
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"left outer join %s.indi_pub_bronze_oa b on r.id=b.id " +
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"left outer join %s.indi_pub_gold_oa g on r.id=g.id " +
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"left outer join %s.indi_pub_hybrid h on r.id=h.id " +
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"left outer join %s.indi_pub_green_oa gr on r.id=gr.id " +
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"left outer join %s.indi_pub_diamond d on b.id=d.id " +
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"left outer join %s.indi_pub_publicly_funded f on r.id=f.id ",
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resultAttributeName, dbname, dbname, dbname, dbname, dbname, dbname, dbname))
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.as(Encoders.bean(StatsResultEnhancementModel.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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getResultEnhancements(spark, inputPath + "/resultEnhancements")
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.toJavaRDD()
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.map(p -> new AtomicAction(p.getClass(), p))
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.mapToPair(
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aa -> new Tuple2<>(new Text(aa.getClazz().getCanonicalName()),
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new Text(OBJECT_MAPPER.writeValueAsString(aa))))
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.saveAsHadoopFile(
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outputPath,
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Text.class,
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Text.class,
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SequenceFileOutputFormat.class,
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GzipCodec.class);
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}
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private static Dataset<Result> getResultEnhancements(SparkSession spark, String inputPath) {
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return readPath(spark, inputPath, StatsResultEnhancementModel.class)
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.map((MapFunction<StatsResultEnhancementModel, Result>) usm -> {
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Result r = new Result();
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r.setId("50|" + usm.getId());
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r.setIsInDiamondJournal(usm.isIn_diamond_journal());
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r.setIsGreen(usm.isGreen_oa());
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r.setPubliclyFunded(usm.isPublicly_funded());
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if (usm.isIs_gold())
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r.setOpenAccessColor(OpenAccessColor.gold);
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else if (usm.isIs_hybrid())
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dimitris.pierrakos marked this conversation as resolved
Outdated
claudio.atzori
commented
Please check the chain of the conditions, it seems the Please check the chain of the conditions, it seems the `usm.isIs_gold()` is checked twice, leading to different then blocks, one sets the OpenAccess color to bronze, the other to gold, which seems counter intuitive. I assume it might be not what you were expecting to write.
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r.setOpenAccessColor(OpenAccessColor.hybrid);
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else if (usm.isIs_bronze_oa())
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r.setOpenAccessColor(OpenAccessColor.bronze);
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return r;
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}, Encoders.bean(Result.class));
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}
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private static void removeOutputDir(SparkSession spark, String path) {
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HdfsSupport.remove(path, spark.sparkContext().hadoopConfiguration());
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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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dimitris.pierrakos marked this conversation as resolved
claudio.atzori
commented
Gitea warns me about the character Any chance that it is a typo from a different keyboard setting? Gitea warns me about the character `B` used in the string `"/diamondOADΒ"`
```
B [U+0392] is confusable with B [U+0042]
```
Any chance that it is a typo from a different keyboard setting?
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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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}
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@ -0,0 +1,76 @@
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package eu.dnetlib.dhp.actionmanager.stats_actionsets;
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import java.io.Serializable;
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import eu.dnetlib.dhp.schema.oaf.*;
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/**
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* @author dimitris.pierrakos
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* @Date 30/10/23
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*/
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public class StatsResultEnhancementModel implements Serializable {
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private String id;
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private Boolean is_gold;
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private Boolean is_bronze_oa;
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private Boolean is_hybrid;
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private boolean in_diamond_journal;
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private boolean green_oa;
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private boolean publicly_funded;
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public String getId() {
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return id;
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}
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public void setId(String id) {
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this.id = id;
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}
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public Boolean isIs_gold() {
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return is_gold;
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}
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public void setIs_gold(Boolean is_gold) {
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this.is_gold = is_gold;
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}
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public Boolean isIs_bronze_oa() {
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return is_bronze_oa;
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}
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public void setIs_bronze_oa(Boolean is_bronze_oa) {
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this.is_bronze_oa = is_bronze_oa;
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}
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public Boolean isIs_hybrid() {
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return is_hybrid;
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}
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public void setIs_hybrid(Boolean is_hybrid) {
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this.is_hybrid = is_hybrid;
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}
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public boolean isIn_diamond_journal() {
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return in_diamond_journal;
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}
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public void setIn_diamond_journal(boolean in_diamond_journal) {
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this.in_diamond_journal = in_diamond_journal;
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}
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public boolean isGreen_oa() {
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return green_oa;
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}
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public void setGreen_oa(boolean green_oa) {
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this.green_oa = green_oa;
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}
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public boolean isPublicly_funded() {
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return publicly_funded;
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}
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public void setPublicly_funded(boolean publicly_funded) {
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this.publicly_funded = publicly_funded;
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}
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}
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@ -0,0 +1,32 @@
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[
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{
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"paramName": "issm",
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"paramLongName": "isSparkSessionManaged",
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"paramDescription": "when true will stop SparkSession after job execution",
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"paramRequired": false
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},
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{
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"paramName": "hmu",
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"paramLongName": "hive_metastore_uris",
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"paramDescription": "the URI for the hive metastore",
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"paramRequired": true
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},
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{
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"paramName": "o",
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"paramLongName": "outputPath",
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"paramDescription": "the path of the new ActionSet",
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"paramRequired": true
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},
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{
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"paramName": "sdb",
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"paramLongName": "statsDB",
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"paramDescription": "the name of the stats db to be used",
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"paramRequired": true
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},
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{
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"paramName": "wp",
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"paramLongName": "workingPath",
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"paramDescription": "the workingPath where to save the content of the usage_stats table",
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"paramRequired": true
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}
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]
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@ -0,0 +1,30 @@
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<configuration>
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<property>
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<name>jobTracker</name>
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<value>yarnRM</value>
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</property>
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<property>
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<name>nameNode</name>
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<value>hdfs://nameservice1</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>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</value>
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</property>
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<property>
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<name>hiveDbName</name>
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<value>openaire</value>
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</property>
|
||||
<property>
|
||||
<name>oozie.launcher.mapreduce.user.classpath.first</name>
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<value>true</value>
|
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</property>
|
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</configuration>
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|
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@ -0,0 +1,97 @@
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<workflow-app name="StatsActionSets" xmlns="uri:oozie:workflow:0.5">
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<parameters>
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<property>
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<name>outputPath</name>
|
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<description>the path where to store the actionset</description>
|
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</property>
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<property>
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<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>
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<value>com.cloudera.spark.lineage.NavigatorAppListener</value>
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||||
<description>spark 2.* extra listeners classname</description>
|
||||
</property>
|
||||
<property>
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||||
<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[${wf:errorMessage(wf:lastErrorNode())}]</message>
|
||||
</kill>
|
||||
|
||||
<action name="atomicactionsStats">
|
||||
|
dimitris.pierrakos marked this conversation as resolved
claudio.atzori
commented
If I well understand from the spark action name, this action would produce an actionset contaning the usage stats metrics (views / downloads). However, an oozie workflow responsible for exporting such information is already available under Why would we need to duplicate it? Can you elaborate? Furthermore, I see the tag points to If I well understand from the spark action name, this action would produce an actionset contaning the usage stats metrics (views / downloads). However, an oozie workflow responsible for exporting such information is already available under
```
dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/usagestats/oozie_app/workflow.xml
```
Why would we need to duplicate it? Can you elaborate?
Furthermore, I see the <class> tag points to `eu.dnetlib.dhp.actionmanager.stats_actionsets.SparkAtomicActionGreenOAJob` which does not exist in the classpath.
|
||||
<spark xmlns="uri:oozie:spark-action:0.2">
|
||||
<master>yarn</master>
|
||||
<mode>cluster</mode>
|
||||
<name>Produces the atomic action with the stats green_oa for results</name>
|
||||
<class>eu.dnetlib.dhp.actionmanager.stats_actionsets.StatsAtomicActionsJob</class>
|
||||
<jar>dhp-stats-actionsets-${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
If this block is commented out and it is not needed, then please remove it