Merge pull request 'SDG no DOI' (#464) from sdgnodoi into beta
Reviewed-on: #464
This commit is contained in:
commit
ceb210993c
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@ -6,26 +6,23 @@ import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
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import java.io.Serializable;
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import java.util.ArrayList;
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import java.util.Iterator;
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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.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.apache.spark.sql.*;
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import org.jetbrains.annotations.NotNull;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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import eu.dnetlib.dhp.actionmanager.createunresolvedentities.model.SDGDataModel;
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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.common.ModelSupport;
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import eu.dnetlib.dhp.schema.oaf.Result;
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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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import eu.dnetlib.dhp.utils.DHPUtils;
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public class PrepareSDGSparkJob implements Serializable {
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@ -52,42 +49,91 @@ public class PrepareSDGSparkJob implements Serializable {
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final String outputPath = parser.get("outputPath");
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log.info("outputPath: {}", outputPath);
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final Boolean distributeDOI = Optional
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.ofNullable(parser.get("distributeDoi"))
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.map(Boolean::valueOf)
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.orElse(Boolean.TRUE);
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log.info("distribute doi {}", distributeDOI);
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SparkConf conf = new SparkConf();
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runWithSparkSession(
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conf,
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isSparkSessionManaged,
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spark -> {
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if (distributeDOI)
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doPrepare(
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spark,
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sourcePath,
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outputPath);
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else
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doPrepareoaid(spark, sourcePath, outputPath);
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});
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}
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private static void doPrepare(SparkSession spark, String sourcePath, String outputPath) {
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Dataset<SDGDataModel> sdgDataset = readPath(spark, sourcePath, SDGDataModel.class);
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Dataset<Row> sdgDataset = spark
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.read()
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.format("csv")
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.option("sep", DEFAULT_DELIMITER)
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.option("inferSchema", "true")
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.option("header", "true")
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.option("quotes", "\"")
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.load(sourcePath);
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sdgDataset
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.groupByKey((MapFunction<SDGDataModel, String>) r -> r.getDoi().toLowerCase(), Encoders.STRING())
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.mapGroups((MapGroupsFunction<String, SDGDataModel, Result>) (k, it) -> {
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Result r = new Result();
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r.setId(DHPUtils.generateUnresolvedIdentifier(k, DOI));
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SDGDataModel first = it.next();
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List<Subject> sbjs = new ArrayList<>();
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sbjs.add(getSubject(first.getSbj(), SDG_CLASS_ID, SDG_CLASS_NAME, UPDATE_SUBJECT_SDG_CLASS_ID));
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it
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.forEachRemaining(
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s -> sbjs
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.add(getSubject(s.getSbj(), SDG_CLASS_ID, SDG_CLASS_NAME, UPDATE_SUBJECT_SDG_CLASS_ID)));
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r.setSubject(sbjs);
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return r;
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}, Encoders.bean(Result.class))
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.groupByKey((MapFunction<Row, String>) v -> ((String) v.getAs("doi")).toLowerCase(), Encoders.STRING())
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.mapGroups(
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(MapGroupsFunction<String, Row, Result>) (k,
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it) -> getResult(
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DHPUtils
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.generateUnresolvedIdentifier(
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ModelSupport.entityIdPrefix.get(Result.class.getSimpleName().toLowerCase()) + "|" + k,
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DOI),
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it),
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Encoders.bean(Result.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(outputPath + "/sdg");
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}
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private static void doPrepareoaid(SparkSession spark, String sourcePath, String outputPath) {
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Dataset<Row> sdgDataset = spark
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.read()
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.format("csv")
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.option("sep", DEFAULT_DELIMITER)
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.option("inferSchema", "true")
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.option("header", "true")
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.option("quotes", "\"")
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.load(sourcePath);
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;
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sdgDataset
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.groupByKey((MapFunction<Row, String>) r -> "50|" + ((String) r.getAs("oaid")), Encoders.STRING())
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.mapGroups(
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(MapGroupsFunction<String, Row, Result>) PrepareSDGSparkJob::getResult, Encoders.bean(Result.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(outputPath + "/sdg");
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}
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private static @NotNull Result getResult(String id, Iterator<Row> it) {
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Result r = new Result();
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r.setId(id);
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Row first = it.next();
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List<Subject> sbjs = new ArrayList<>();
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sbjs.add(getSubject(first.getAs("sdg"), SDG_CLASS_ID, SDG_CLASS_NAME, UPDATE_SUBJECT_SDG_CLASS_ID));
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it
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.forEachRemaining(
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s -> sbjs
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.add(getSubject(s.getAs("sdg"), SDG_CLASS_ID, SDG_CLASS_NAME, UPDATE_SUBJECT_SDG_CLASS_ID)));
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r.setSubject(sbjs);
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return r;
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}
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}
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@ -13,9 +13,6 @@ 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.function.FilterFunction;
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import org.apache.spark.api.java.function.FlatMapFunction;
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import org.apache.spark.api.java.function.MapFunction;
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import org.apache.spark.sql.Encoders;
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import org.apache.spark.sql.SparkSession;
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@ -24,13 +21,9 @@ import org.slf4j.LoggerFactory;
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import com.fasterxml.jackson.databind.ObjectMapper;
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import eu.dnetlib.dhp.actionmanager.opencitations.model.COCI;
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import eu.dnetlib.dhp.application.ArgumentApplicationParser;
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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.Relation;
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import eu.dnetlib.dhp.schema.oaf.Result;
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import eu.dnetlib.dhp.schema.oaf.utils.*;
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import scala.Tuple2;
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public class CreateActionSetSparkJob implements Serializable {
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@ -0,0 +1,91 @@
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package eu.dnetlib.dhp.actionmanager.sdgnodoi;
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import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
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import java.io.IOException;
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import java.io.Serializable;
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import java.util.Objects;
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import java.util.Optional;
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import org.apache.commons.cli.ParseException;
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import org.apache.commons.io.IOUtils;
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import org.apache.hadoop.fs.Hdfs;
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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.function.MapFunction;
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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 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.oaf.Result;
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import scala.Tuple2;
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public class CreateActionSetSparkJob implements Serializable {
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private static final Logger log = LoggerFactory.getLogger(CreateActionSetSparkJob.class);
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private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
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public static void main(final String[] args) throws IOException, ParseException {
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final ArgumentApplicationParser parser = new ArgumentApplicationParser(
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IOUtils
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.toString(
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Objects
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.requireNonNull(
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CreateActionSetSparkJob.class
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.getResourceAsStream(
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"/eu/dnetlib/dhp/actionmanager/fosnodoi/as_parameters.json"))));
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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 inputPath = parser.get("sourcePath");
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log.info("inputPath {}", inputPath);
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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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runWithSparkSession(
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conf,
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isSparkSessionManaged,
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spark -> {
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HdfsSupport.remove(outputPath, spark.sparkContext().hadoopConfiguration());
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createActionSet(spark, inputPath, outputPath);
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});
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}
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private static void createActionSet(SparkSession spark, String inputPath, String outputPath) {
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spark
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.read()
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.textFile(inputPath)
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.map(
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(MapFunction<String, Result>) value -> OBJECT_MAPPER.readValue(value, Result.class),
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Encoders.bean(Result.class))
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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, Text.class, Text.class, SequenceFileOutputFormat.class, GzipCodec.class);
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}
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}
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@ -0,0 +1,20 @@
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[
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{
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"paramName": "sp",
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"paramLongName": "sourcePath",
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"paramDescription": "the zipped opencitations file",
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"paramRequired": true
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},
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{
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"paramName": "op",
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"paramLongName": "outputPath",
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"paramDescription": "the working path",
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"paramRequired": true
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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": "the hdfs name node",
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"paramRequired": false
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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>
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<property>
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<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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@ -0,0 +1,125 @@
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<workflow-app name="SDG no doi" xmlns="uri:oozie:workflow:0.5">
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<parameters>
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<property>
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<name>sdgPath</name>
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<description>the input path of the resources to be extended</description>
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</property>
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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>sparkDriverMemory</name>
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<description>memory for driver process</description>
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</property>
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<property>
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<name>sparkExecutorMemory</name>
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<description>memory for individual executor</description>
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</property>
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<property>
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<name>sparkExecutorCores</name>
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<description>number of cores used by single executor</description>
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</property>
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<property>
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<name>oozieActionShareLibForSpark2</name>
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<description>oozie action sharelib for spark 2.*</description>
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</property>
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<property>
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<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>
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</property>
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<property>
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<name>spark2SqlQueryExecutionListeners</name>
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<value>com.cloudera.spark.lineage.NavigatorQueryListener</value>
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<description>spark 2.* sql query execution listeners classname</description>
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</property>
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<property>
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<name>spark2YarnHistoryServerAddress</name>
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<description>spark 2.* yarn history server address</description>
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</property>
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<property>
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<name>spark2EventLogDir</name>
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<description>spark 2.* event log dir location</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>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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<property>
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<name>oozie.action.sharelib.for.spark</name>
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<value>${oozieActionShareLibForSpark2}</value>
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</property>
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</configuration>
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</global>
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<start to="prepareSDG"/>
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<kill name="Kill">
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<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
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</kill>
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<action name="prepareSDG">
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<spark xmlns="uri:oozie:spark-action:0.2">
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<master>yarn</master>
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<mode>cluster</mode>
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<name>Produces the results from FOS</name>
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<class>eu.dnetlib.dhp.actionmanager.createunresolvedentities.PrepareSDGSparkJob</class>
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<jar>dhp-aggregation-${projectVersion}.jar</jar>
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<spark-opts>
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--executor-memory=${sparkExecutorMemory}
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--executor-cores=${sparkExecutorCores}
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--driver-memory=${sparkDriverMemory}
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--conf spark.extraListeners=${spark2ExtraListeners}
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--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
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--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
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--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
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--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
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</spark-opts>
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<arg>--sourcePath</arg><arg>${sdgPath}</arg>
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<arg>--outputPath</arg><arg>${workingDir}/prepared</arg>
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<arg>--distributeDoi</arg><arg>false</arg>
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</spark>
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<ok to="produceActionSet"/>
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<error to="Kill"/>
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</action>
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<action name="produceActionSet">
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<spark xmlns="uri:oozie:spark-action:0.2">
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<master>yarn</master>
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<mode>cluster</mode>
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<name>Save the action set grouping results with the same id</name>
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<class>eu.dnetlib.dhp.actionmanager.sdgnodoi.CreateActionSetSparkJob</class>
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<jar>dhp-aggregation-${projectVersion}.jar</jar>
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<spark-opts>
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--executor-memory=${sparkExecutorMemory}
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--executor-cores=${sparkExecutorCores}
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--driver-memory=${sparkDriverMemory}
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--conf spark.extraListeners=${spark2ExtraListeners}
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--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
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--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
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--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
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--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
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</spark-opts>
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<arg>--sourcePath</arg><arg>${workingDir}/prepared/sdg</arg>
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<arg>--outputPath</arg><arg>${outputPath}</arg>
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</spark>
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<ok to="End"/>
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<error to="Kill"/>
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</action>
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<end name="End"/>
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</workflow-app>
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