forked from D-Net/dnet-hadoop
first phase of data preparation. For each result type (parallel) it produces the possible updates
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@ -10,19 +10,19 @@ import org.apache.spark.SparkConf;
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import org.apache.spark.api.java.JavaSparkContext;
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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 java.util.Arrays;
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import java.util.List;
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import java.util.Optional;
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import static eu.dnetlib.dhp.PropagationConstant.*;
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import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkHiveSession;
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public class PrepareResultOrcidAssociation {
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private static final Logger log = LoggerFactory.getLogger(PrepareResultOrcidAssociation.class);
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public class PrepareResultOrcidAssociationStep1 {
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private static final Logger log = LoggerFactory.getLogger(PrepareResultOrcidAssociationStep1.class);
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private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
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@ -64,13 +64,14 @@ public class PrepareResultOrcidAssociation {
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if (isTest(parser)) {
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removeOutputDir(spark, outputPath);
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}
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prepareInfo(spark, inputPath, outputPath, resultClazz, resultType);
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prepareInfo(spark, inputPath, outputPath, resultClazz, resultType, allowedsemrel);
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});
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}
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private static <R extends Result> void prepareInfo(SparkSession spark, String inputPath,
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String outputPath, Class<R> resultClazz,
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String resultType) {
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String resultType,
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List<String> allowedsemrel) {
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//read the relation table and the table related to the result it is using
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final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
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@ -81,8 +82,38 @@ public class PrepareResultOrcidAssociation {
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log.info("Reading Graph table from: {}", inputPath + "/" + resultType);
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Dataset<R> result = readPathEntity(spark, inputPath + "/" + resultType, resultClazz);
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result.createOrReplaceTempView("result");
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getPossibleResultOrcidAssociation(spark, allowedsemrel, outputPath);
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}
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private static void getPossibleResultOrcidAssociation(SparkSession spark, List<String> allowedsemrel, String outputPath){
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String query = " select target resultId, author authorList" +
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" from (select id, collect_set(named_struct('name', name, 'surname', surname, 'fullname', fullname, 'orcid', orcid)) author " +
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" from ( " +
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" select id, MyT.fullname, MyT.name, MyT.surname, MyP.value orcid " +
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" from result " +
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" lateral view explode (author) a as MyT " +
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" lateral view explode (MyT.pid) p as MyP " +
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" where MyP.qualifier.classid = 'ORCID') tmp " +
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" group by id) r_t " +
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" join (" +
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" select source, target " +
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" from relation " +
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" where datainfo.deletedbyinference = false " +
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getConstraintList(" relclass = '" ,allowedsemrel) + ") rel_rel " +
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" on source = id";
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spark.sql(query)
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.as(Encoders.bean(ResultOrcidList.class))
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.toJSON()
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.write()
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.mode(SaveMode.Append)
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.option("compression","gzip")
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.text(outputPath)
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;
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}
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}
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