forked from D-Net/dnet-hadoop
joined summaries and activities dataset
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ca722d4d18
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@ -2,6 +2,8 @@
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package eu.dnetlib.doiboost.orcid;
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import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
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import static org.apache.spark.sql.functions.col;
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import static org.apache.spark.sql.functions.collect_list;
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import java.io.IOException;
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import java.text.SimpleDateFormat;
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@ -22,7 +24,9 @@ import org.apache.spark.api.java.JavaSparkContext;
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import org.apache.spark.api.java.function.Function;
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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.RelationalGroupedDataset;
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import org.apache.spark.sql.SaveMode;
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import org.apache.spark.sql.TypedColumn;
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import org.apache.spark.util.LongAccumulator;
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import org.mortbay.log.Log;
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import org.slf4j.Logger;
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@ -61,7 +65,6 @@ public class SparkGenerateDoiAuthorList {
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final String outputDoiAuthorListPath = parser.get("outputDoiAuthorListPath");
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logger.info("outputDoiAuthorListPath: ", outputDoiAuthorListPath);
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SparkConf conf = new SparkConf();
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runWithSparkSession(
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conf,
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@ -69,16 +72,27 @@ public class SparkGenerateDoiAuthorList {
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spark -> {
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JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
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JavaPairRDD<Text, Text> summariesRDD = sc.sequenceFile(workingPath + "../orcid_summaries/output/authors.seq", Text.class, Text.class);
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JavaPairRDD<Text, Text> summariesRDD = sc
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.sequenceFile(workingPath + "../orcid_summaries/output/authors.seq", Text.class, Text.class);
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Dataset<AuthorData> summariesDataset = spark
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.createDataset(summariesRDD.map(seq -> loadAuthorFromJson(seq._1(), seq._2())).rdd(),
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.createDataset(
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summariesRDD.map(seq -> loadAuthorFromJson(seq._1(), seq._2())).rdd(),
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Encoders.bean(AuthorData.class));
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JavaPairRDD<Text, Text> activitiesRDD = sc.sequenceFile(workingPath + "/output/*.seq", Text.class, Text.class);
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JavaPairRDD<Text, Text> activitiesRDD = sc
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.sequenceFile(workingPath + "/output/*.seq", Text.class, Text.class);
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Dataset<WorkData> activitiesDataset = spark
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.createDataset(activitiesRDD.map(seq -> loadWorkFromJson(seq._1(), seq._2())).rdd(),
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.createDataset(
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activitiesRDD.map(seq -> loadWorkFromJson(seq._1(), seq._2())).rdd(),
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Encoders.bean(WorkData.class));
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RelationalGroupedDataset group = activitiesDataset
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.where("oid='0000-0002-9710-779X'")
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.joinWith(
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summariesDataset,
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activitiesDataset.col("oid").equalTo(summariesDataset.col("oid")), "inner")
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.groupBy(col("doi"));
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});
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}
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@ -1,4 +1,4 @@
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<workflow-app name="Gen Orcid Authors" xmlns="uri:oozie:workflow:0.5">
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<workflow-app name="Gen_Doi_Author_List_WF" xmlns="uri:oozie:workflow:0.5">
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<parameters>
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<property>
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<name>workingPath</name>
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@ -42,7 +42,7 @@
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<name>Gen_Doi_Author_List</name>
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<class>eu.dnetlib.doiboost.orcid.SparkGenerateDoiAuthorList</class>
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<jar>dhp-doiboost-1.2.1-SNAPSHOT.jar</jar>
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<spark-opts>--num-executors 1 --conf spark.yarn.jars="hdfs://hadoop-rm1.garr-pa1.d4science.org:8020/user/oozie/share/lib/lib_20180405103059/spark2" --executor-memory=${sparkExecutorMemory} --executor-cores=${sparkExecutorCores} --driver-memory=${sparkDriverMemory}
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<spark-opts>--num-executors 5 --conf spark.yarn.jars="hdfs://hadoop-rm1.garr-pa1.d4science.org:8020/user/oozie/share/lib/lib_20180405103059/spark2" --executor-memory=${sparkExecutorMemory} --executor-cores=${sparkExecutorCores} --driver-memory=${sparkDriverMemory}
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</spark-opts>
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<arg>-w</arg><arg>${workingPath}/</arg>
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<arg>-o</arg><arg>doi_author_list/</arg>
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