forked from D-Net/dnet-hadoop
heavy cleanup
This commit is contained in:
parent
5111671e62
commit
166aafd936
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@ -22,21 +22,18 @@ import eu.dnetlib.dhp.application.ArgumentApplicationParser;
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import eu.dnetlib.dhp.community.*;
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import eu.dnetlib.dhp.community.*;
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import eu.dnetlib.dhp.schema.oaf.*;
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import eu.dnetlib.dhp.schema.oaf.*;
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public class SparkBulkTagJob2 {
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public class SparkBulkTagJob {
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private static final Logger log = LoggerFactory.getLogger(SparkBulkTagJob2.class);
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private static final Logger log = LoggerFactory.getLogger(SparkBulkTagJob.class);
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private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
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public static void main(String[] args) throws Exception {
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public static void main(String[] args) throws Exception {
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String jsonConfiguration = IOUtils
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String jsonConfiguration = IOUtils
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.toString(
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.toString(
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SparkBulkTagJob2.class
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SparkBulkTagJob.class
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.getResourceAsStream(
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.getResourceAsStream(
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"/eu/dnetlib/dhp/bulktag/input_bulkTag_parameters.json"));
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"/eu/dnetlib/dhp/bulktag/input_bulkTag_parameters.json"));
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final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
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final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
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parser.parseArgument(args);
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parser.parseArgument(args);
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Boolean isSparkSessionManaged = Optional
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Boolean isSparkSessionManaged = Optional
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@ -58,7 +55,6 @@ public class SparkBulkTagJob2 {
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log.info("outputPath: {}", outputPath);
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log.info("outputPath: {}", outputPath);
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ProtoMap protoMappingParams = new Gson().fromJson(parser.get("pathMap"), ProtoMap.class);
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ProtoMap protoMappingParams = new Gson().fromJson(parser.get("pathMap"), ProtoMap.class);
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;
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log.info("pathMap: {}", new Gson().toJson(protoMappingParams));
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log.info("pathMap: {}", new Gson().toJson(protoMappingParams));
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final String resultClassName = parser.get("resultTableName");
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final String resultClassName = parser.get("resultTableName");
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@ -89,45 +85,6 @@ public class SparkBulkTagJob2 {
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spark -> {
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spark -> {
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execBulkTag(spark, inputPath, outputPath, protoMappingParams, resultClazz, cc);
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execBulkTag(spark, inputPath, outputPath, protoMappingParams, resultClazz, cc);
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});
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});
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// runWithSparkSession(conf, isSparkSessionManaged,
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// spark -> {
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// if(isTest(parser)) {
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// removeOutputDir(spark, outputPath);
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// }
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// if(saveGraph)
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// execPropagation(spark, possibleUpdates, inputPath, outputPath,
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// resultClazz);
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// });
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//
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//
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//
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//
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//
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//
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// sc.textFile(inputPath + "/publication")
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// .map(item -> new ObjectMapper().readValue(item, Publication.class))
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// .map(p -> resultTagger.enrichContextCriteria(p, cc, protoMappingParams))
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// .map(p -> new ObjectMapper().writeValueAsString(p))
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// .saveAsTextFile(outputPath+"/publication");
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// sc.textFile(inputPath + "/dataset")
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// .map(item -> new ObjectMapper().readValue(item, Dataset.class))
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// .map(p -> resultTagger.enrichContextCriteria(p, cc, protoMappingParams))
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// .map(p -> new ObjectMapper().writeValueAsString(p))
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// .saveAsTextFile(outputPath+"/dataset");
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// sc.textFile(inputPath + "/software")
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// .map(item -> new ObjectMapper().readValue(item, Software.class))
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// .map(p -> resultTagger.enrichContextCriteria(p, cc, protoMappingParams))
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// .map(p -> new ObjectMapper().writeValueAsString(p))
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// .saveAsTextFile(outputPath+"/software");
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// sc.textFile(inputPath + "/otherresearchproduct")
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// .map(item -> new ObjectMapper().readValue(item,
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// OtherResearchProduct.class))
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// .map(p -> resultTagger.enrichContextCriteria(p, cc, protoMappingParams))
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// .map(p -> new ObjectMapper().writeValueAsString(p))
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// .saveAsTextFile(outputPath+"/otherresearchproduct");
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//
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}
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}
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private static <R extends Result> void execBulkTag(
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private static <R extends Result> void execBulkTag(
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@ -139,28 +96,23 @@ public class SparkBulkTagJob2 {
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CommunityConfiguration communityConfiguration) {
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CommunityConfiguration communityConfiguration) {
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ResultTagger resultTagger = new ResultTagger();
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ResultTagger resultTagger = new ResultTagger();
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Dataset<R> result = readPathEntity(spark, inputPath, resultClazz);
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readPath(spark, inputPath, resultClazz)
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result
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.map((MapFunction<R, R>) value -> resultTagger
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.map(
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value -> resultTagger
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.enrichContextCriteria(
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.enrichContextCriteria(
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value, communityConfiguration, protoMappingParams),
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value, communityConfiguration, protoMappingParams),
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Encoders.bean(resultClazz))
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Encoders.bean(resultClazz))
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.toJSON()
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.write()
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.write()
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.mode(SaveMode.Overwrite)
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.mode(SaveMode.Overwrite)
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.option("compression", "gzip")
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.option("compression", "gzip")
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.text(outputPath);
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.json(outputPath);
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}
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}
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private static <R extends Result> org.apache.spark.sql.Dataset<R> readPathEntity(
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private static <R> Dataset<R> readPath(
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SparkSession spark, String inputEntityPath, Class<R> resultClazz) {
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SparkSession spark, String inputEntityPath, Class<R> clazz) {
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return spark
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return spark
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.read()
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.read()
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.textFile(inputEntityPath)
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.json(inputEntityPath)
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.map(
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.as(Encoders.bean(clazz));
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(MapFunction<String, R>) value -> OBJECT_MAPPER.readValue(value, resultClazz),
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Encoders.bean(resultClazz));
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}
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}
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}
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}
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@ -106,7 +106,7 @@
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<master>yarn-cluster</master>
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<master>yarn-cluster</master>
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<mode>cluster</mode>
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<mode>cluster</mode>
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<name>bulkTagging-publication</name>
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<name>bulkTagging-publication</name>
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<class>eu.dnetlib.dhp.bulktag.SparkBulkTagJob2</class>
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<class>eu.dnetlib.dhp.bulktag.SparkBulkTagJob</class>
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<jar>dhp-bulktag-${projectVersion}.jar</jar>
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<jar>dhp-bulktag-${projectVersion}.jar</jar>
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<spark-opts>
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<spark-opts>
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--num-executors=${sparkExecutorNumber}
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--num-executors=${sparkExecutorNumber}
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@ -134,7 +134,7 @@
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<master>yarn-cluster</master>
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<master>yarn-cluster</master>
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<mode>cluster</mode>
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<mode>cluster</mode>
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<name>bulkTagging-dataset</name>
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<name>bulkTagging-dataset</name>
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<class>eu.dnetlib.dhp.bulktag.SparkBulkTagJob2</class>
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<class>eu.dnetlib.dhp.bulktag.SparkBulkTagJob</class>
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<jar>dhp-bulktag-${projectVersion}.jar</jar>
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<jar>dhp-bulktag-${projectVersion}.jar</jar>
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<spark-opts>
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<spark-opts>
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--num-executors=${sparkExecutorNumber}
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--num-executors=${sparkExecutorNumber}
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@ -162,7 +162,7 @@
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<master>yarn-cluster</master>
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<master>yarn-cluster</master>
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<mode>cluster</mode>
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<mode>cluster</mode>
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<name>bulkTagging-orp</name>
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<name>bulkTagging-orp</name>
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<class>eu.dnetlib.dhp.bulktag.SparkBulkTagJob2</class>
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<class>eu.dnetlib.dhp.bulktag.SparkBulkTagJob</class>
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<jar>dhp-bulktag-${projectVersion}.jar</jar>
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<jar>dhp-bulktag-${projectVersion}.jar</jar>
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<spark-opts>
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<spark-opts>
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--num-executors=${sparkExecutorNumber}
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--num-executors=${sparkExecutorNumber}
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@ -190,7 +190,7 @@
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<master>yarn-cluster</master>
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<master>yarn-cluster</master>
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<mode>cluster</mode>
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<mode>cluster</mode>
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<name>bulkTagging-software</name>
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<name>bulkTagging-software</name>
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<class>eu.dnetlib.dhp.bulktag.SparkBulkTagJob2</class>
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<class>eu.dnetlib.dhp.bulktag.SparkBulkTagJob</class>
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<jar>dhp-bulktag-${projectVersion}.jar</jar>
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<jar>dhp-bulktag-${projectVersion}.jar</jar>
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<spark-opts>
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<spark-opts>
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--num-executors=${sparkExecutorNumber}
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--num-executors=${sparkExecutorNumber}
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@ -24,7 +24,7 @@ import org.slf4j.LoggerFactory;
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import com.fasterxml.jackson.databind.ObjectMapper;
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import com.fasterxml.jackson.databind.ObjectMapper;
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import eu.dnetlib.dhp.bulktag.SparkBulkTagJob2;
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import eu.dnetlib.dhp.bulktag.SparkBulkTagJob;
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import eu.dnetlib.dhp.schema.oaf.Dataset;
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import eu.dnetlib.dhp.schema.oaf.Dataset;
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import eu.dnetlib.dhp.schema.oaf.OtherResearchProduct;
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import eu.dnetlib.dhp.schema.oaf.OtherResearchProduct;
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import eu.dnetlib.dhp.schema.oaf.Publication;
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import eu.dnetlib.dhp.schema.oaf.Publication;
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@ -84,7 +84,7 @@ public class BulkTagJobTest {
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@Test
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@Test
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public void noUpdatesTest() throws Exception {
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public void noUpdatesTest() throws Exception {
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SparkBulkTagJob2
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SparkBulkTagJob
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.main(
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.main(
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new String[] {
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new String[] {
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"-isTest",
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"-isTest",
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@ -134,7 +134,7 @@ public class BulkTagJobTest {
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@Test
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@Test
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public void bulktagBySubjectNoPreviousContextTest() throws Exception {
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public void bulktagBySubjectNoPreviousContextTest() throws Exception {
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SparkBulkTagJob2
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SparkBulkTagJob
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.main(
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.main(
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new String[] {
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new String[] {
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"-isTest",
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"-isTest",
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@ -240,7 +240,7 @@ public class BulkTagJobTest {
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@Test
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@Test
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public void bulktagBySubjectPreviousContextNoProvenanceTest() throws Exception {
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public void bulktagBySubjectPreviousContextNoProvenanceTest() throws Exception {
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SparkBulkTagJob2
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SparkBulkTagJob
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.main(
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.main(
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new String[] {
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new String[] {
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"-isTest",
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"-isTest",
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@ -332,7 +332,7 @@ public class BulkTagJobTest {
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@Test
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@Test
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public void bulktagByDatasourceTest() throws Exception {
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public void bulktagByDatasourceTest() throws Exception {
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SparkBulkTagJob2
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SparkBulkTagJob
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.main(
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.main(
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new String[] {
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new String[] {
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"-isTest",
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"-isTest",
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@ -415,7 +415,7 @@ public class BulkTagJobTest {
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@Test
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@Test
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public void bulktagByZenodoCommunityTest() throws Exception {
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public void bulktagByZenodoCommunityTest() throws Exception {
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SparkBulkTagJob2
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SparkBulkTagJob
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.main(
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.main(
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new String[] {
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new String[] {
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"-isTest",
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"-isTest",
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@ -548,7 +548,7 @@ public class BulkTagJobTest {
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@Test
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@Test
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public void bulktagBySubjectDatasourceTest() throws Exception {
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public void bulktagBySubjectDatasourceTest() throws Exception {
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SparkBulkTagJob2
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SparkBulkTagJob
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.main(
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.main(
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new String[] {
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new String[] {
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"-isTest",
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"-isTest",
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@ -688,7 +688,7 @@ public class BulkTagJobTest {
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@Test
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@Test
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public void bulktagBySubjectDatasourceZenodoCommunityTest() throws Exception {
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public void bulktagBySubjectDatasourceZenodoCommunityTest() throws Exception {
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SparkBulkTagJob2
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SparkBulkTagJob
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.main(
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.main(
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new String[] {
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new String[] {
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"-isTest",
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"-isTest",
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@ -796,7 +796,7 @@ public class BulkTagJobTest {
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@Test
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@Test
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public void bulktagDatasourcewithConstraintsTest() throws Exception {
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public void bulktagDatasourcewithConstraintsTest() throws Exception {
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SparkBulkTagJob2
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SparkBulkTagJob
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.main(
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.main(
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new String[] {
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new String[] {
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"-isTest",
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"-isTest",
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@ -1,12 +1,11 @@
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package eu.dnetlib.dhp;
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package eu.dnetlib.dhp;
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import java.io.IOException;
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import java.util.List;
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import java.util.*;
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import java.util.Optional;
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import org.apache.hadoop.fs.FileSystem;
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import org.apache.hadoop.fs.Path;
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import org.apache.spark.api.java.function.MapFunction;
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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.Encoders;
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import org.apache.spark.sql.Row;
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import org.apache.spark.sql.Row;
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import org.apache.spark.sql.SparkSession;
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import org.apache.spark.sql.SparkSession;
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@ -67,6 +66,12 @@ public class PropagationConstant {
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public static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
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public static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
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private static final String cfHbforResultQuery = "select distinct r.id, inst.collectedfrom.key cf, inst.hostedby.key hb "
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+
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"from result r " +
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"lateral view explode(instance) i as inst " +
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"where r.datainfo.deletedbyinference=false";
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public static Country getCountry(String classid, String classname) {
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public static Country getCountry(String classid, String classname) {
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Country nc = new Country();
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Country nc = new Country();
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nc.setClassid(classid);
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nc.setClassid(classid);
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@ -130,13 +135,6 @@ public class PropagationConstant {
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return ret;
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return ret;
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}
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}
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public static void createOutputDirs(String outputPath, FileSystem fs) throws IOException {
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if (fs.exists(new Path(outputPath))) {
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fs.delete(new Path(outputPath), true);
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}
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fs.mkdirs(new Path(outputPath));
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}
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public static void removeOutputDir(SparkSession spark, String path) {
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public static void removeOutputDir(SparkSession spark, String path) {
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HdfsSupport.remove(path, spark.sparkContext().hadoopConfiguration());
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HdfsSupport.remove(path, spark.sparkContext().hadoopConfiguration());
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}
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}
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@ -155,50 +153,17 @@ public class PropagationConstant {
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.orElse(Boolean.FALSE);
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.orElse(Boolean.FALSE);
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}
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}
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public static void createCfHbforresult(SparkSession spark) {
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public static void createCfHbforResult(SparkSession spark) {
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String query;
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org.apache.spark.sql.Dataset<Row> cfhb = spark.sql(cfHbforResultQuery);
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// query = "SELECT id, inst.collectedfrom.key cf , inst.hostedby.key hb "
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// + "FROM ( SELECT id, instance "
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// + "FROM result "
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// + " WHERE datainfo.deletedbyinference = false) ds "
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// + "LATERAL VIEW EXPLODE(instance) i AS inst";
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query = "select distinct r.id, inst.collectedfrom.key cf, inst.hostedby.key hb " +
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"from result r " +
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"lateral view explode(instance) i as inst " +
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"where r.datainfo.deletedbyinference=false";
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org.apache.spark.sql.Dataset<Row> cfhb = spark.sql(query);
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cfhb.createOrReplaceTempView("cfhb");
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cfhb.createOrReplaceTempView("cfhb");
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}
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}
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public static <R extends Result> org.apache.spark.sql.Dataset<R> readPathEntity(
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public static <R> Dataset<R> readPath(
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SparkSession spark, String inputEntityPath, Class<R> resultClazz) {
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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(inputEntityPath)
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.map(
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(MapFunction<String, R>) value -> OBJECT_MAPPER.readValue(value, resultClazz),
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Encoders.bean(resultClazz));
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}
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public static org.apache.spark.sql.Dataset<Relation> readRelations(
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SparkSession spark, String inputPath) {
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return spark
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return spark
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.read()
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.read()
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.textFile(inputPath)
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.textFile(inputPath)
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.map(
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.map((MapFunction<String, R>) value -> OBJECT_MAPPER.readValue(value, clazz), Encoders.bean(clazz));
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(MapFunction<String, Relation>) value -> OBJECT_MAPPER.readValue(value, Relation.class),
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Encoders.bean(Relation.class));
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}
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}
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|
||||||
public static org.apache.spark.sql.Dataset<ResultCommunityList> readResultCommunityList(
|
|
||||||
SparkSession spark, String possibleUpdatesPath) {
|
|
||||||
return spark
|
|
||||||
.read()
|
|
||||||
.textFile(possibleUpdatesPath)
|
|
||||||
.map(
|
|
||||||
value -> OBJECT_MAPPER.readValue(value, ResultCommunityList.class),
|
|
||||||
Encoders.bean(ResultCommunityList.class));
|
|
||||||
}
|
|
||||||
}
|
}
|
||||||
|
|
|
@ -1,20 +0,0 @@
|
||||||
|
|
||||||
package eu.dnetlib.dhp;
|
|
||||||
|
|
||||||
import java.util.List;
|
|
||||||
|
|
||||||
import eu.dnetlib.dhp.utils.ISLookupClientFactory;
|
|
||||||
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpException;
|
|
||||||
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpService;
|
|
||||||
|
|
||||||
public class QueryInformationSystem {
|
|
||||||
private static final String XQUERY = "for $x in collection('/db/DRIVER/ContextDSResources/ContextDSResourceType')"
|
|
||||||
+ " where $x//CONFIGURATION/context[./@type='community' or ./@type='ri']"
|
|
||||||
+ " and $x//CONFIGURATION/context/param[./@name='status']/text() != 'hidden'"
|
|
||||||
+ " return $x//CONFIGURATION/context/@id/string()";
|
|
||||||
|
|
||||||
public static List<String> getCommunityList(final String isLookupUrl) throws ISLookUpException {
|
|
||||||
ISLookUpService isLookUp = ISLookupClientFactory.getLookUpService(isLookupUrl);
|
|
||||||
return isLookUp.quickSearchProfile(XQUERY);
|
|
||||||
}
|
|
||||||
}
|
|
|
@ -13,6 +13,7 @@ import org.apache.spark.SparkConf;
|
||||||
import org.apache.spark.api.java.JavaSparkContext;
|
import org.apache.spark.api.java.JavaSparkContext;
|
||||||
import org.apache.spark.sql.Dataset;
|
import org.apache.spark.sql.Dataset;
|
||||||
import org.apache.spark.sql.Encoders;
|
import org.apache.spark.sql.Encoders;
|
||||||
|
import org.apache.spark.sql.SaveMode;
|
||||||
import org.apache.spark.sql.SparkSession;
|
import org.apache.spark.sql.SparkSession;
|
||||||
import org.slf4j.Logger;
|
import org.slf4j.Logger;
|
||||||
import org.slf4j.LoggerFactory;
|
import org.slf4j.LoggerFactory;
|
||||||
|
@ -30,7 +31,6 @@ import eu.dnetlib.dhp.schema.oaf.*;
|
||||||
public class PrepareDatasourceCountryAssociation {
|
public class PrepareDatasourceCountryAssociation {
|
||||||
|
|
||||||
private static final Logger log = LoggerFactory.getLogger(PrepareDatasourceCountryAssociation.class);
|
private static final Logger log = LoggerFactory.getLogger(PrepareDatasourceCountryAssociation.class);
|
||||||
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
|
|
||||||
|
|
||||||
public static void main(String[] args) throws Exception {
|
public static void main(String[] args) throws Exception {
|
||||||
|
|
||||||
|
@ -80,31 +80,10 @@ public class PrepareDatasourceCountryAssociation {
|
||||||
for (String i : whitelist) {
|
for (String i : whitelist) {
|
||||||
whitelisted += " OR id = '" + i + "'";
|
whitelisted += " OR id = '" + i + "'";
|
||||||
}
|
}
|
||||||
final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
|
|
||||||
|
|
||||||
Dataset<Datasource> datasource = spark
|
Dataset<Datasource> datasource = readPath(spark, inputPath + "/datasource", Datasource.class);
|
||||||
.createDataset(
|
Dataset<Relation> relation = readPath(spark, inputPath + "/relation", Relation.class);
|
||||||
sc
|
Dataset<Organization> organization = readPath(spark, inputPath + "/organization", Organization.class);
|
||||||
.textFile(inputPath + "/datasource")
|
|
||||||
.map(item -> OBJECT_MAPPER.readValue(item, Datasource.class))
|
|
||||||
.rdd(),
|
|
||||||
Encoders.bean(Datasource.class));
|
|
||||||
|
|
||||||
Dataset<Relation> relation = spark
|
|
||||||
.createDataset(
|
|
||||||
sc
|
|
||||||
.textFile(inputPath + "/relation")
|
|
||||||
.map(item -> OBJECT_MAPPER.readValue(item, Relation.class))
|
|
||||||
.rdd(),
|
|
||||||
Encoders.bean(Relation.class));
|
|
||||||
|
|
||||||
Dataset<Organization> organization = spark
|
|
||||||
.createDataset(
|
|
||||||
sc
|
|
||||||
.textFile(inputPath + "/organization")
|
|
||||||
.map(item -> OBJECT_MAPPER.readValue(item, Organization.class))
|
|
||||||
.rdd(),
|
|
||||||
Encoders.bean(Organization.class));
|
|
||||||
|
|
||||||
datasource.createOrReplaceTempView("datasource");
|
datasource.createOrReplaceTempView("datasource");
|
||||||
relation.createOrReplaceTempView("relation");
|
relation.createOrReplaceTempView("relation");
|
||||||
|
@ -128,14 +107,15 @@ public class PrepareDatasourceCountryAssociation {
|
||||||
+ "JOIN (SELECT id, country "
|
+ "JOIN (SELECT id, country "
|
||||||
+ " FROM organization "
|
+ " FROM organization "
|
||||||
+ " WHERE datainfo.deletedbyinference = false "
|
+ " WHERE datainfo.deletedbyinference = false "
|
||||||
+ " AND length(country.classid)>0) o "
|
+ " AND length(country.classid) > 0) o "
|
||||||
+ "ON o.id = rel.target";
|
+ "ON o.id = rel.target";
|
||||||
|
|
||||||
spark
|
spark
|
||||||
.sql(query)
|
.sql(query)
|
||||||
.as(Encoders.bean(DatasourceCountry.class))
|
.as(Encoders.bean(DatasourceCountry.class))
|
||||||
.toJavaRDD()
|
.write()
|
||||||
.map(c -> OBJECT_MAPPER.writeValueAsString(c))
|
.option("compression", "gzip")
|
||||||
.saveAsTextFile(outputPath, GzipCodec.class);
|
.mode(SaveMode.Overwrite)
|
||||||
|
.json(outputPath);
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
|
@ -4,31 +4,31 @@ package eu.dnetlib.dhp.countrypropagation;
|
||||||
import static eu.dnetlib.dhp.PropagationConstant.*;
|
import static eu.dnetlib.dhp.PropagationConstant.*;
|
||||||
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkHiveSession;
|
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkHiveSession;
|
||||||
|
|
||||||
import java.util.Arrays;
|
|
||||||
import java.util.stream.Collectors;
|
|
||||||
|
|
||||||
import org.apache.commons.io.IOUtils;
|
import org.apache.commons.io.IOUtils;
|
||||||
import org.apache.spark.SparkConf;
|
import org.apache.spark.SparkConf;
|
||||||
import org.apache.spark.api.java.function.MapFunction;
|
|
||||||
import org.apache.spark.sql.*;
|
import org.apache.spark.sql.*;
|
||||||
import org.apache.spark.sql.Dataset;
|
import org.apache.spark.sql.Dataset;
|
||||||
import org.slf4j.Logger;
|
import org.slf4j.Logger;
|
||||||
import org.slf4j.LoggerFactory;
|
import org.slf4j.LoggerFactory;
|
||||||
|
|
||||||
import com.fasterxml.jackson.databind.ObjectMapper;
|
|
||||||
|
|
||||||
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
|
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
|
||||||
import eu.dnetlib.dhp.schema.oaf.*;
|
import eu.dnetlib.dhp.schema.oaf.*;
|
||||||
|
|
||||||
public class PrepareResultCountrySet {
|
public class PrepareResultCountrySet {
|
||||||
private static final Logger log = LoggerFactory.getLogger(PrepareResultCountrySet.class);
|
private static final Logger log = LoggerFactory.getLogger(PrepareResultCountrySet.class);
|
||||||
|
|
||||||
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
|
private static final String RESULT_COUNTRYSET_QUERY = "SELECT id resultId, collect_set(country) countrySet "
|
||||||
|
+ "FROM ( SELECT id, country "
|
||||||
|
+ "FROM datasource_country JOIN cfhb ON cf = dataSourceId "
|
||||||
|
+ "UNION ALL "
|
||||||
|
+ "SELECT id, country FROM datasource_country "
|
||||||
|
+ "JOIN cfhb ON hb = dataSourceId ) tmp "
|
||||||
|
+ "GROUP BY id";
|
||||||
|
|
||||||
public static void main(String[] args) throws Exception {
|
public static void main(String[] args) throws Exception {
|
||||||
String jsonConfiguration = IOUtils
|
String jsonConfiguration = IOUtils
|
||||||
.toString(
|
.toString(
|
||||||
SparkCountryPropagationJob2.class
|
PrepareResultCountrySet.class
|
||||||
.getResourceAsStream(
|
.getResourceAsStream(
|
||||||
"/eu/dnetlib/dhp/countrypropagation/input_prepareresultcountry_parameters.json"));
|
"/eu/dnetlib/dhp/countrypropagation/input_prepareresultcountry_parameters.json"));
|
||||||
|
|
||||||
|
@ -42,6 +42,9 @@ public class PrepareResultCountrySet {
|
||||||
String inputPath = parser.get("sourcePath");
|
String inputPath = parser.get("sourcePath");
|
||||||
log.info("inputPath: {}", inputPath);
|
log.info("inputPath: {}", inputPath);
|
||||||
|
|
||||||
|
String outputPath = parser.get("outputPath");
|
||||||
|
log.info("outputPath: {}", outputPath);
|
||||||
|
|
||||||
final String datasourcecountrypath = parser.get("preparedInfoPath");
|
final String datasourcecountrypath = parser.get("preparedInfoPath");
|
||||||
log.info("preparedInfoPath: {}", datasourcecountrypath);
|
log.info("preparedInfoPath: {}", datasourcecountrypath);
|
||||||
|
|
||||||
|
@ -60,75 +63,36 @@ public class PrepareResultCountrySet {
|
||||||
getPotentialResultToUpdate(
|
getPotentialResultToUpdate(
|
||||||
spark,
|
spark,
|
||||||
inputPath,
|
inputPath,
|
||||||
|
outputPath,
|
||||||
datasourcecountrypath,
|
datasourcecountrypath,
|
||||||
resultClazz);
|
resultClazz);
|
||||||
});
|
});
|
||||||
|
|
||||||
}
|
}
|
||||||
|
|
||||||
private static <R extends Result> void getPotentialResultToUpdate(
|
private static <R extends Result> void getPotentialResultToUpdate(
|
||||||
SparkSession spark,
|
SparkSession spark,
|
||||||
String inputPath,
|
String inputPath,
|
||||||
|
String outputPath,
|
||||||
String datasourcecountrypath,
|
String datasourcecountrypath,
|
||||||
Class<R> resultClazz) {
|
Class<R> resultClazz) {
|
||||||
|
|
||||||
Dataset<R> result = readPathEntity(spark, inputPath, resultClazz);
|
Dataset<R> result = readPath(spark, inputPath, resultClazz);
|
||||||
result.createOrReplaceTempView("result");
|
result.createOrReplaceTempView("result");
|
||||||
// log.info("number of results: {}", result.count());
|
// log.info("number of results: {}", result.count());
|
||||||
createCfHbforresult(spark);
|
createCfHbforResult(spark);
|
||||||
Dataset<DatasourceCountry> datasourcecountryassoc = readAssocDatasourceCountry(spark, datasourcecountrypath);
|
|
||||||
countryPropagationAssoc(spark, datasourcecountryassoc)
|
Dataset<DatasourceCountry> datasource_country = readPath(spark, datasourcecountrypath, DatasourceCountry.class);
|
||||||
.map((MapFunction<ResultCountrySet, R>) value -> {
|
|
||||||
R ret = resultClazz.newInstance();
|
datasource_country.createOrReplaceTempView("datasource_country");
|
||||||
ret.setId(value.getResultId());
|
// log.info("datasource_country number : {}", datasource_country.count());
|
||||||
ret
|
|
||||||
.setCountry(
|
spark
|
||||||
value
|
.sql(RESULT_COUNTRYSET_QUERY)
|
||||||
.getCountrySet()
|
.as(Encoders.bean(ResultCountrySet.class))
|
||||||
.stream()
|
|
||||||
.map(c -> getCountry(c.getClassid(), c.getClassname()))
|
|
||||||
.collect(Collectors.toList()));
|
|
||||||
return ret;
|
|
||||||
}, Encoders.bean(resultClazz))
|
|
||||||
.write()
|
.write()
|
||||||
.option("compression", "gzip")
|
.option("compression", "gzip")
|
||||||
.mode(SaveMode.Append)
|
.mode(SaveMode.Append)
|
||||||
.json(inputPath);
|
.json(outputPath);
|
||||||
}
|
}
|
||||||
|
|
||||||
private static Dataset<ResultCountrySet> countryPropagationAssoc(
|
|
||||||
SparkSession spark,
|
|
||||||
Dataset<DatasourceCountry> datasource_country) {
|
|
||||||
|
|
||||||
// Dataset<DatasourceCountry> datasource_country = broadcast_datasourcecountryassoc.value();
|
|
||||||
datasource_country.createOrReplaceTempView("datasource_country");
|
|
||||||
log.info("datasource_country number : {}", datasource_country.count());
|
|
||||||
|
|
||||||
String query = "SELECT id resultId, collect_set(country) countrySet "
|
|
||||||
+ "FROM ( SELECT id, country "
|
|
||||||
+ "FROM datasource_country "
|
|
||||||
+ "JOIN cfhb "
|
|
||||||
+ " ON cf = dataSourceId "
|
|
||||||
+ "UNION ALL "
|
|
||||||
+ "SELECT id , country "
|
|
||||||
+ "FROM datasource_country "
|
|
||||||
+ "JOIN cfhb "
|
|
||||||
+ " ON hb = dataSourceId ) tmp "
|
|
||||||
+ "GROUP BY id";
|
|
||||||
Dataset<ResultCountrySet> potentialUpdates = spark
|
|
||||||
.sql(query)
|
|
||||||
.as(Encoders.bean(ResultCountrySet.class));
|
|
||||||
// log.info("potential update number : {}", potentialUpdates.count());
|
|
||||||
return potentialUpdates;
|
|
||||||
}
|
|
||||||
|
|
||||||
private static Dataset<DatasourceCountry> readAssocDatasourceCountry(
|
|
||||||
SparkSession spark, String relationPath) {
|
|
||||||
return spark
|
|
||||||
.read()
|
|
||||||
.textFile(relationPath)
|
|
||||||
.map(
|
|
||||||
value -> OBJECT_MAPPER.readValue(value, DatasourceCountry.class),
|
|
||||||
Encoders.bean(DatasourceCountry.class));
|
|
||||||
}
|
|
||||||
}
|
}
|
||||||
|
|
|
@ -5,17 +5,11 @@ import static eu.dnetlib.dhp.PropagationConstant.*;
|
||||||
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
|
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
|
||||||
|
|
||||||
import java.util.*;
|
import java.util.*;
|
||||||
import java.util.function.Function;
|
|
||||||
import java.util.stream.Collectors;
|
import java.util.stream.Collectors;
|
||||||
|
|
||||||
import org.apache.commons.io.IOUtils;
|
import org.apache.commons.io.IOUtils;
|
||||||
import org.apache.hadoop.io.compress.GzipCodec;
|
|
||||||
import org.apache.spark.SparkConf;
|
import org.apache.spark.SparkConf;
|
||||||
import org.apache.spark.api.java.JavaPairRDD;
|
|
||||||
import org.apache.spark.api.java.JavaRDD;
|
|
||||||
import org.apache.spark.api.java.JavaSparkContext;
|
|
||||||
import org.apache.spark.api.java.function.MapFunction;
|
import org.apache.spark.api.java.function.MapFunction;
|
||||||
import org.apache.spark.api.java.function.MapGroupsFunction;
|
|
||||||
import org.apache.spark.sql.Dataset;
|
import org.apache.spark.sql.Dataset;
|
||||||
import org.apache.spark.sql.Encoders;
|
import org.apache.spark.sql.Encoders;
|
||||||
import org.apache.spark.sql.SaveMode;
|
import org.apache.spark.sql.SaveMode;
|
||||||
|
@ -26,15 +20,13 @@ import org.slf4j.LoggerFactory;
|
||||||
import com.fasterxml.jackson.databind.ObjectMapper;
|
import com.fasterxml.jackson.databind.ObjectMapper;
|
||||||
|
|
||||||
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
|
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
|
||||||
import eu.dnetlib.dhp.schema.common.ModelSupport;
|
|
||||||
import eu.dnetlib.dhp.schema.oaf.Country;
|
import eu.dnetlib.dhp.schema.oaf.Country;
|
||||||
import eu.dnetlib.dhp.schema.oaf.KeyValue;
|
|
||||||
import eu.dnetlib.dhp.schema.oaf.Result;
|
import eu.dnetlib.dhp.schema.oaf.Result;
|
||||||
import scala.Tuple2;
|
import scala.Tuple2;
|
||||||
|
|
||||||
public class SparkCountryPropagationJob3 {
|
public class SparkCountryPropagationJob {
|
||||||
|
|
||||||
private static final Logger log = LoggerFactory.getLogger(SparkCountryPropagationJob3.class);
|
private static final Logger log = LoggerFactory.getLogger(SparkCountryPropagationJob.class);
|
||||||
|
|
||||||
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
|
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
|
||||||
|
|
||||||
|
@ -42,7 +34,7 @@ public class SparkCountryPropagationJob3 {
|
||||||
|
|
||||||
String jsonConfiguration = IOUtils
|
String jsonConfiguration = IOUtils
|
||||||
.toString(
|
.toString(
|
||||||
SparkCountryPropagationJob3.class
|
SparkCountryPropagationJob.class
|
||||||
.getResourceAsStream(
|
.getResourceAsStream(
|
||||||
"/eu/dnetlib/dhp/countrypropagation/input_countrypropagation_parameters.json"));
|
"/eu/dnetlib/dhp/countrypropagation/input_countrypropagation_parameters.json"));
|
||||||
|
|
||||||
|
@ -53,8 +45,11 @@ public class SparkCountryPropagationJob3 {
|
||||||
Boolean isSparkSessionManaged = isSparkSessionManaged(parser);
|
Boolean isSparkSessionManaged = isSparkSessionManaged(parser);
|
||||||
log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
|
log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
|
||||||
|
|
||||||
String inputPath = parser.get("sourcePath");
|
String sourcePath = parser.get("sourcePath");
|
||||||
log.info("inputPath: {}", inputPath);
|
log.info("sourcePath: {}", sourcePath);
|
||||||
|
|
||||||
|
String preparedInfoPath = parser.get("preparedInfoPath");
|
||||||
|
log.info("preparedInfoPath: {}", preparedInfoPath);
|
||||||
|
|
||||||
final String outputPath = parser.get("outputPath");
|
final String outputPath = parser.get("outputPath");
|
||||||
log.info("outputPath: {}", outputPath);
|
log.info("outputPath: {}", outputPath);
|
||||||
|
@ -76,7 +71,8 @@ public class SparkCountryPropagationJob3 {
|
||||||
isSparkSessionManaged,
|
isSparkSessionManaged,
|
||||||
spark -> execPropagation(
|
spark -> execPropagation(
|
||||||
spark,
|
spark,
|
||||||
inputPath,
|
sourcePath,
|
||||||
|
preparedInfoPath,
|
||||||
outputPath,
|
outputPath,
|
||||||
resultClazz,
|
resultClazz,
|
||||||
saveGraph));
|
saveGraph));
|
||||||
|
@ -84,21 +80,26 @@ public class SparkCountryPropagationJob3 {
|
||||||
|
|
||||||
private static <R extends Result> void execPropagation(
|
private static <R extends Result> void execPropagation(
|
||||||
SparkSession spark,
|
SparkSession spark,
|
||||||
String inputPath,
|
String sourcePath,
|
||||||
|
String preparedInfoPath,
|
||||||
String outputPath,
|
String outputPath,
|
||||||
Class<R> resultClazz,
|
Class<R> resultClazz,
|
||||||
boolean saveGraph) {
|
boolean saveGraph) {
|
||||||
|
|
||||||
if (saveGraph) {
|
if (saveGraph) {
|
||||||
// updateResultTable(spark, potentialUpdates, inputPath, resultClazz, outputPath);
|
// updateResultTable(spark, potentialUpdates, inputPath, resultClazz, outputPath);
|
||||||
log.info("Reading Graph table from: {}", inputPath);
|
log.info("Reading Graph table from: {}", sourcePath);
|
||||||
|
Dataset<R> res = readPath(spark, sourcePath, resultClazz);
|
||||||
|
|
||||||
spark
|
log.info("Reading prepared info: {}", preparedInfoPath);
|
||||||
|
Dataset<ResultCountrySet> prepared = spark
|
||||||
.read()
|
.read()
|
||||||
.json(inputPath)
|
.json(preparedInfoPath)
|
||||||
.as(Encoders.bean(resultClazz))
|
.as(Encoders.bean(ResultCountrySet.class));
|
||||||
.groupByKey((MapFunction<R, String>) r -> r.getId(), Encoders.STRING())
|
|
||||||
.mapGroups(getCountryMergeFn(resultClazz), Encoders.bean(resultClazz))
|
res
|
||||||
|
.joinWith(prepared, res.col("id").equalTo(prepared.col("resultId")), "left_outer")
|
||||||
|
.map(getCountryMergeFn(), Encoders.bean(resultClazz))
|
||||||
.write()
|
.write()
|
||||||
.option("compression", "gzip")
|
.option("compression", "gzip")
|
||||||
.mode(SaveMode.Overwrite)
|
.mode(SaveMode.Overwrite)
|
||||||
|
@ -106,37 +107,26 @@ public class SparkCountryPropagationJob3 {
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
private static <R extends Result> MapGroupsFunction<String, R, R> getCountryMergeFn(Class<R> resultClazz) {
|
private static <R extends Result> MapFunction<Tuple2<R, ResultCountrySet>, R> getCountryMergeFn() {
|
||||||
return (MapGroupsFunction<String, R, R>) (key, values) -> {
|
return (MapFunction<Tuple2<R, ResultCountrySet>, R>) t -> {
|
||||||
R res = resultClazz.newInstance();
|
Optional.ofNullable(t._2()).ifPresent(r -> {
|
||||||
List<Country> countries = new ArrayList<>();
|
t._1().getCountry().addAll(merge(t._1().getCountry(), r.getCountrySet()));
|
||||||
values.forEachRemaining(r -> {
|
|
||||||
res.mergeFrom(r);
|
|
||||||
countries.addAll(r.getCountry());
|
|
||||||
});
|
});
|
||||||
res
|
return t._1();
|
||||||
.setCountry(
|
|
||||||
countries
|
|
||||||
.stream()
|
|
||||||
.collect(
|
|
||||||
Collectors
|
|
||||||
.toMap(
|
|
||||||
Country::getClassid,
|
|
||||||
Function.identity(),
|
|
||||||
(c1, c2) -> {
|
|
||||||
if (Optional
|
|
||||||
.ofNullable(
|
|
||||||
c1.getDataInfo().getInferenceprovenance())
|
|
||||||
.isPresent()) {
|
|
||||||
return c2;
|
|
||||||
}
|
|
||||||
return c1;
|
|
||||||
}))
|
|
||||||
.values()
|
|
||||||
.stream()
|
|
||||||
.collect(Collectors.toList()));
|
|
||||||
return res;
|
|
||||||
};
|
};
|
||||||
}
|
}
|
||||||
|
|
||||||
|
private static List<Country> merge(List<Country> c1, List<CountrySbs> c2) {
|
||||||
|
HashSet<String> countries = c1
|
||||||
|
.stream()
|
||||||
|
.map(c -> c.getClassid())
|
||||||
|
.collect(Collectors.toCollection(HashSet::new));
|
||||||
|
|
||||||
|
return c2
|
||||||
|
.stream()
|
||||||
|
.filter(c -> !countries.contains(c.getClassid()))
|
||||||
|
.map(c -> getCountry(c.getClassid(), c.getClassname()))
|
||||||
|
.collect(Collectors.toList());
|
||||||
|
}
|
||||||
|
|
||||||
}
|
}
|
|
@ -1,289 +0,0 @@
|
||||||
|
|
||||||
package eu.dnetlib.dhp.countrypropagation;
|
|
||||||
|
|
||||||
import static eu.dnetlib.dhp.PropagationConstant.*;
|
|
||||||
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkHiveSession;
|
|
||||||
import static jdk.nashorn.internal.objects.NativeDebug.map;
|
|
||||||
|
|
||||||
import java.util.*;
|
|
||||||
import java.util.stream.Collectors;
|
|
||||||
|
|
||||||
import org.apache.commons.io.IOUtils;
|
|
||||||
import org.apache.spark.SparkConf;
|
|
||||||
import org.apache.spark.api.java.JavaSparkContext;
|
|
||||||
import org.apache.spark.api.java.function.MapFunction;
|
|
||||||
import org.apache.spark.broadcast.Broadcast;
|
|
||||||
import org.apache.spark.sql.*;
|
|
||||||
import org.apache.spark.sql.Dataset;
|
|
||||||
import org.slf4j.Logger;
|
|
||||||
import org.slf4j.LoggerFactory;
|
|
||||||
|
|
||||||
import com.fasterxml.jackson.databind.ObjectMapper;
|
|
||||||
|
|
||||||
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
|
|
||||||
import eu.dnetlib.dhp.schema.oaf.*;
|
|
||||||
import scala.Tuple2;
|
|
||||||
|
|
||||||
public class SparkCountryPropagationJob2 {
|
|
||||||
|
|
||||||
private static final Logger log = LoggerFactory.getLogger(SparkCountryPropagationJob2.class);
|
|
||||||
|
|
||||||
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
|
|
||||||
|
|
||||||
public static void main(String[] args) throws Exception {
|
|
||||||
|
|
||||||
String jsonConfiguration = IOUtils
|
|
||||||
.toString(
|
|
||||||
SparkCountryPropagationJob2.class
|
|
||||||
.getResourceAsStream(
|
|
||||||
"/eu/dnetlib/dhp/countrypropagation/input_countrypropagation_parameters.json"));
|
|
||||||
|
|
||||||
final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
|
|
||||||
|
|
||||||
parser.parseArgument(args);
|
|
||||||
|
|
||||||
Boolean isSparkSessionManaged = isSparkSessionManaged(parser);
|
|
||||||
log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
|
|
||||||
|
|
||||||
String inputPath = parser.get("sourcePath");
|
|
||||||
log.info("inputPath: {}", inputPath);
|
|
||||||
|
|
||||||
final String outputPath = parser.get("outputPath");
|
|
||||||
log.info("outputPath: {}", outputPath);
|
|
||||||
|
|
||||||
final String datasourcecountrypath = parser.get("preparedInfoPath");
|
|
||||||
log.info("preparedInfoPath: {}", datasourcecountrypath);
|
|
||||||
|
|
||||||
final String resultClassName = parser.get("resultTableName");
|
|
||||||
log.info("resultTableName: {}", resultClassName);
|
|
||||||
|
|
||||||
final String resultType = resultClassName.substring(resultClassName.lastIndexOf(".") + 1).toLowerCase();
|
|
||||||
log.info("resultType: {}", resultType);
|
|
||||||
|
|
||||||
final String possibleUpdatesPath = datasourcecountrypath
|
|
||||||
.substring(0, datasourcecountrypath.lastIndexOf("/") + 1)
|
|
||||||
+ "possibleUpdates/" + resultType;
|
|
||||||
log.info("possibleUpdatesPath: {}", possibleUpdatesPath);
|
|
||||||
|
|
||||||
final Boolean saveGraph = Optional
|
|
||||||
.ofNullable(parser.get("saveGraph"))
|
|
||||||
.map(Boolean::valueOf)
|
|
||||||
.orElse(Boolean.TRUE);
|
|
||||||
log.info("saveGraph: {}", saveGraph);
|
|
||||||
|
|
||||||
Class<? extends Result> resultClazz = (Class<? extends Result>) Class.forName(resultClassName);
|
|
||||||
|
|
||||||
SparkConf conf = new SparkConf();
|
|
||||||
conf.set("hive.metastore.uris", parser.get("hive_metastore_uris"));
|
|
||||||
|
|
||||||
runWithSparkHiveSession(
|
|
||||||
conf,
|
|
||||||
isSparkSessionManaged,
|
|
||||||
spark -> {
|
|
||||||
removeOutputDir(spark, possibleUpdatesPath);
|
|
||||||
execPropagation(
|
|
||||||
spark,
|
|
||||||
datasourcecountrypath,
|
|
||||||
inputPath,
|
|
||||||
outputPath,
|
|
||||||
resultClazz,
|
|
||||||
saveGraph, possibleUpdatesPath);
|
|
||||||
});
|
|
||||||
}
|
|
||||||
|
|
||||||
private static <R extends Result> void execPropagation(
|
|
||||||
SparkSession spark,
|
|
||||||
String datasourcecountrypath,
|
|
||||||
String inputPath,
|
|
||||||
String outputPath,
|
|
||||||
Class<R> resultClazz,
|
|
||||||
boolean saveGraph, String possilbeUpdatesPath) {
|
|
||||||
// final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
|
|
||||||
|
|
||||||
// Load file with preprocessed association datasource - country
|
|
||||||
Dataset<DatasourceCountry> datasourcecountryassoc = readAssocDatasourceCountry(spark, datasourcecountrypath);
|
|
||||||
// broadcasting the result of the preparation step
|
|
||||||
// Broadcast<Dataset<DatasourceCountry>> broadcast_datasourcecountryassoc =
|
|
||||||
// sc.broadcast(datasourcecountryassoc);
|
|
||||||
|
|
||||||
Dataset<ResultCountrySet> potentialUpdates = getPotentialResultToUpdate(
|
|
||||||
spark, inputPath, resultClazz, datasourcecountryassoc)
|
|
||||||
.as(Encoders.bean(ResultCountrySet.class));
|
|
||||||
|
|
||||||
potentialUpdates.write().option("compression", "gzip").mode(SaveMode.Overwrite).json(possilbeUpdatesPath);
|
|
||||||
|
|
||||||
if (saveGraph) {
|
|
||||||
// updateResultTable(spark, potentialUpdates, inputPath, resultClazz, outputPath);
|
|
||||||
potentialUpdates = spark
|
|
||||||
.read()
|
|
||||||
.textFile(possilbeUpdatesPath)
|
|
||||||
.map(
|
|
||||||
(MapFunction<String, ResultCountrySet>) value -> OBJECT_MAPPER
|
|
||||||
.readValue(value, ResultCountrySet.class),
|
|
||||||
Encoders.bean(ResultCountrySet.class));
|
|
||||||
updateResultTable(spark, potentialUpdates, inputPath, resultClazz, outputPath);
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
||||||
private static <R extends Result> void updateResultTable(
|
|
||||||
SparkSession spark,
|
|
||||||
Dataset<ResultCountrySet> potentialUpdates,
|
|
||||||
String inputPath,
|
|
||||||
Class<R> resultClazz,
|
|
||||||
String outputPath) {
|
|
||||||
|
|
||||||
log.info("Reading Graph table from: {}", inputPath);
|
|
||||||
Dataset<R> result = readPathEntity(spark, inputPath, resultClazz);
|
|
||||||
|
|
||||||
Dataset<R> new_table = result
|
|
||||||
.joinWith(
|
|
||||||
potentialUpdates, result
|
|
||||||
.col("id")
|
|
||||||
.equalTo(potentialUpdates.col("resultId")),
|
|
||||||
"left_outer")
|
|
||||||
.map((MapFunction<Tuple2<R, ResultCountrySet>, R>) value -> {
|
|
||||||
R r = value._1();
|
|
||||||
Optional<ResultCountrySet> potentialNewCountries = Optional.ofNullable(value._2());
|
|
||||||
if (potentialNewCountries.isPresent()) {
|
|
||||||
HashSet<String> countries = r
|
|
||||||
.getCountry()
|
|
||||||
.stream()
|
|
||||||
.map(c -> c.getClassid())
|
|
||||||
.collect(Collectors.toCollection(HashSet::new));
|
|
||||||
|
|
||||||
r
|
|
||||||
.getCountry()
|
|
||||||
.addAll(
|
|
||||||
potentialNewCountries
|
|
||||||
.get()
|
|
||||||
.getCountrySet()
|
|
||||||
.stream()
|
|
||||||
.filter(c -> !countries.contains(c.getClassid()))
|
|
||||||
.map(c -> getCountry(c.getClassid(), c.getClassname()))
|
|
||||||
.collect(Collectors.toList()));
|
|
||||||
|
|
||||||
// Result res = new Result();
|
|
||||||
// res.setId(r.getId());
|
|
||||||
// List<Country> countryList = new ArrayList<>();
|
|
||||||
// for (CountrySbs country : potentialNewCountries
|
|
||||||
// .get()
|
|
||||||
// .getCountrySet()) {
|
|
||||||
// if (!countries.contains(country.getClassid())) {
|
|
||||||
// countryList
|
|
||||||
// .add(
|
|
||||||
// getCountry(
|
|
||||||
// country.getClassid(),
|
|
||||||
// country.getClassname()));
|
|
||||||
// }
|
|
||||||
// }
|
|
||||||
// res.setCountry(countryList);
|
|
||||||
// r.mergeFrom(res);
|
|
||||||
}
|
|
||||||
return r;
|
|
||||||
}, Encoders.bean(resultClazz));
|
|
||||||
// Dataset<Tuple2<String, R>> result_pair = result
|
|
||||||
// .map(
|
|
||||||
// r -> new Tuple2<>(r.getId(), r),
|
|
||||||
// Encoders.tuple(Encoders.STRING(), Encoders.bean(resultClazz)));
|
|
||||||
//
|
|
||||||
// Dataset<R> new_table = result_pair
|
|
||||||
// .joinWith(
|
|
||||||
// potentialUpdates,
|
|
||||||
// result_pair.col("_1").equalTo(potentialUpdates.col("resultId")),
|
|
||||||
// "left_outer")
|
|
||||||
// .map(
|
|
||||||
// (MapFunction<Tuple2<Tuple2<String, R>, ResultCountrySet>, R>) value -> {
|
|
||||||
// R r = value._1()._2();
|
|
||||||
// Optional<ResultCountrySet> potentialNewCountries = Optional.ofNullable(value._2());
|
|
||||||
// if (potentialNewCountries.isPresent()) {
|
|
||||||
// HashSet<String> countries = new HashSet<>();
|
|
||||||
// for (Qualifier country : r.getCountry()) {
|
|
||||||
// countries.add(country.getClassid());
|
|
||||||
// }
|
|
||||||
// Result res = new Result();
|
|
||||||
// res.setId(r.getId());
|
|
||||||
// List<Country> countryList = new ArrayList<>();
|
|
||||||
// for (CountrySbs country : potentialNewCountries
|
|
||||||
// .get()
|
|
||||||
// .getCountrySet()) {
|
|
||||||
// if (!countries.contains(country.getClassid())) {
|
|
||||||
// countryList
|
|
||||||
// .add(
|
|
||||||
// getCountry(
|
|
||||||
// country.getClassid(),
|
|
||||||
// country.getClassname()));
|
|
||||||
// }
|
|
||||||
// }
|
|
||||||
// res.setCountry(countryList);
|
|
||||||
// r.mergeFrom(res);
|
|
||||||
// }
|
|
||||||
// return r;
|
|
||||||
// },
|
|
||||||
// Encoders.bean(resultClazz));
|
|
||||||
|
|
||||||
log.info("Saving graph table to path: {}", outputPath);
|
|
||||||
log.info("number of saved recordsa: {}", new_table.count());
|
|
||||||
new_table.write().option("compression", "gzip").mode(SaveMode.Overwrite).json(outputPath);
|
|
||||||
|
|
||||||
}
|
|
||||||
|
|
||||||
private static <R extends Result> Dataset<ResultCountrySet> getPotentialResultToUpdate(
|
|
||||||
SparkSession spark,
|
|
||||||
String inputPath,
|
|
||||||
Class<R> resultClazz,
|
|
||||||
Dataset<DatasourceCountry> datasourcecountryassoc) {
|
|
||||||
|
|
||||||
Dataset<R> result = readPathEntity(spark, inputPath, resultClazz);
|
|
||||||
result.createOrReplaceTempView("result");
|
|
||||||
// log.info("number of results: {}", result.count());
|
|
||||||
createCfHbforresult(spark);
|
|
||||||
return countryPropagationAssoc(spark, datasourcecountryassoc);
|
|
||||||
}
|
|
||||||
|
|
||||||
private static Dataset<ResultCountrySet> countryPropagationAssoc(
|
|
||||||
SparkSession spark,
|
|
||||||
Dataset<DatasourceCountry> datasource_country) {
|
|
||||||
|
|
||||||
// Dataset<DatasourceCountry> datasource_country = broadcast_datasourcecountryassoc.value();
|
|
||||||
datasource_country.createOrReplaceTempView("datasource_country");
|
|
||||||
log.info("datasource_country number : {}", datasource_country.count());
|
|
||||||
|
|
||||||
String query = "SELECT id resultId, collect_set(country) countrySet "
|
|
||||||
+ "FROM ( SELECT id, country "
|
|
||||||
+ "FROM datasource_country "
|
|
||||||
+ "JOIN cfhb "
|
|
||||||
+ " ON cf = dataSourceId "
|
|
||||||
+ "UNION ALL "
|
|
||||||
+ "SELECT id , country "
|
|
||||||
+ "FROM datasource_country "
|
|
||||||
+ "JOIN cfhb "
|
|
||||||
+ " ON hb = dataSourceId ) tmp "
|
|
||||||
+ "GROUP BY id";
|
|
||||||
|
|
||||||
Dataset<ResultCountrySet> potentialUpdates = spark
|
|
||||||
.sql(query)
|
|
||||||
.as(Encoders.bean(ResultCountrySet.class))
|
|
||||||
.map((MapFunction<ResultCountrySet, ResultCountrySet>) r -> {
|
|
||||||
final ArrayList<CountrySbs> c = r
|
|
||||||
.getCountrySet()
|
|
||||||
.stream()
|
|
||||||
.limit(100)
|
|
||||||
.collect(Collectors.toCollection(ArrayList::new));
|
|
||||||
r.setCountrySet(c);
|
|
||||||
return r;
|
|
||||||
}, Encoders.bean(ResultCountrySet.class));
|
|
||||||
// log.info("potential update number : {}", potentialUpdates.count());
|
|
||||||
return potentialUpdates;
|
|
||||||
}
|
|
||||||
|
|
||||||
private static Dataset<DatasourceCountry> readAssocDatasourceCountry(
|
|
||||||
SparkSession spark, String relationPath) {
|
|
||||||
return spark
|
|
||||||
.read()
|
|
||||||
.textFile(relationPath)
|
|
||||||
.map(
|
|
||||||
(MapFunction<String, DatasourceCountry>) value -> OBJECT_MAPPER
|
|
||||||
.readValue(value, DatasourceCountry.class),
|
|
||||||
Encoders.bean(DatasourceCountry.class));
|
|
||||||
}
|
|
||||||
}
|
|
|
@ -2,10 +2,11 @@
|
||||||
package eu.dnetlib.dhp.orcidtoresultfromsemrel;
|
package eu.dnetlib.dhp.orcidtoresultfromsemrel;
|
||||||
|
|
||||||
public class AutoritativeAuthor {
|
public class AutoritativeAuthor {
|
||||||
String name;
|
|
||||||
String surname;
|
private String name;
|
||||||
String fullname;
|
private String surname;
|
||||||
String orcid;
|
private String fullname;
|
||||||
|
private String orcid;
|
||||||
|
|
||||||
public String getName() {
|
public String getName() {
|
||||||
return name;
|
return name;
|
||||||
|
@ -38,4 +39,5 @@ public class AutoritativeAuthor {
|
||||||
public void setOrcid(String orcid) {
|
public void setOrcid(String orcid) {
|
||||||
this.orcid = orcid;
|
this.orcid = orcid;
|
||||||
}
|
}
|
||||||
|
|
||||||
}
|
}
|
||||||
|
|
|
@ -13,6 +13,7 @@ import org.apache.spark.SparkConf;
|
||||||
import org.apache.spark.api.java.JavaSparkContext;
|
import org.apache.spark.api.java.JavaSparkContext;
|
||||||
import org.apache.spark.sql.Dataset;
|
import org.apache.spark.sql.Dataset;
|
||||||
import org.apache.spark.sql.Encoders;
|
import org.apache.spark.sql.Encoders;
|
||||||
|
import org.apache.spark.sql.SaveMode;
|
||||||
import org.apache.spark.sql.SparkSession;
|
import org.apache.spark.sql.SparkSession;
|
||||||
import org.slf4j.Logger;
|
import org.slf4j.Logger;
|
||||||
import org.slf4j.LoggerFactory;
|
import org.slf4j.LoggerFactory;
|
||||||
|
@ -27,17 +28,14 @@ import eu.dnetlib.dhp.schema.oaf.Result;
|
||||||
public class PrepareResultOrcidAssociationStep1 {
|
public class PrepareResultOrcidAssociationStep1 {
|
||||||
private static final Logger log = LoggerFactory.getLogger(PrepareResultOrcidAssociationStep1.class);
|
private static final Logger log = LoggerFactory.getLogger(PrepareResultOrcidAssociationStep1.class);
|
||||||
|
|
||||||
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
|
|
||||||
|
|
||||||
public static void main(String[] args) throws Exception {
|
public static void main(String[] args) throws Exception {
|
||||||
String jsonConfiguration = IOUtils
|
String jsonConf = IOUtils
|
||||||
.toString(
|
.toString(
|
||||||
SparkOrcidToResultFromSemRelJob3.class
|
PrepareResultOrcidAssociationStep1.class
|
||||||
.getResourceAsStream(
|
.getResourceAsStream(
|
||||||
"/eu/dnetlib/dhp/orcidtoresultfromsemrel/input_prepareorcidtoresult_parameters.json"));
|
"/eu/dnetlib/dhp/orcidtoresultfromsemrel/input_prepareorcidtoresult_parameters.json"));
|
||||||
|
|
||||||
final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
|
final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConf);
|
||||||
|
|
||||||
parser.parseArgument(args);
|
parser.parseArgument(args);
|
||||||
|
|
||||||
Boolean isSparkSessionManaged = isSparkSessionManaged(parser);
|
Boolean isSparkSessionManaged = isSparkSessionManaged(parser);
|
||||||
|
@ -63,6 +61,15 @@ public class PrepareResultOrcidAssociationStep1 {
|
||||||
SparkConf conf = new SparkConf();
|
SparkConf conf = new SparkConf();
|
||||||
conf.set("hive.metastore.uris", parser.get("hive_metastore_uris"));
|
conf.set("hive.metastore.uris", parser.get("hive_metastore_uris"));
|
||||||
|
|
||||||
|
String inputRelationPath = inputPath + "/relation";
|
||||||
|
log.info("inputRelationPath: {}", inputRelationPath);
|
||||||
|
|
||||||
|
String inputResultPath = inputPath + "/" + resultType;
|
||||||
|
log.info("inputResultPath: {}", inputResultPath);
|
||||||
|
|
||||||
|
String outputResultPath = outputPath + "/" + resultType;
|
||||||
|
log.info("outputResultPath: {}", outputResultPath);
|
||||||
|
|
||||||
runWithSparkHiveSession(
|
runWithSparkHiveSession(
|
||||||
conf,
|
conf,
|
||||||
isSparkSessionManaged,
|
isSparkSessionManaged,
|
||||||
|
@ -71,39 +78,25 @@ public class PrepareResultOrcidAssociationStep1 {
|
||||||
removeOutputDir(spark, outputPath);
|
removeOutputDir(spark, outputPath);
|
||||||
}
|
}
|
||||||
prepareInfo(
|
prepareInfo(
|
||||||
spark, inputPath, outputPath, resultClazz, resultType, allowedsemrel);
|
spark, inputRelationPath, inputResultPath, outputResultPath, resultClazz, allowedsemrel);
|
||||||
});
|
});
|
||||||
}
|
}
|
||||||
|
|
||||||
private static <R extends Result> void prepareInfo(
|
private static <R extends Result> void prepareInfo(
|
||||||
SparkSession spark,
|
SparkSession spark,
|
||||||
String inputPath,
|
String inputRelationPath,
|
||||||
String outputPath,
|
String inputResultPath,
|
||||||
|
String outputResultPath,
|
||||||
Class<R> resultClazz,
|
Class<R> resultClazz,
|
||||||
String resultType,
|
|
||||||
List<String> allowedsemrel) {
|
List<String> allowedsemrel) {
|
||||||
|
|
||||||
// read the relation table and the table related to the result it is using
|
Dataset<Relation> relation = readPath(spark, inputRelationPath, Relation.class);
|
||||||
final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
|
|
||||||
org.apache.spark.sql.Dataset<Relation> relation = spark
|
|
||||||
.createDataset(
|
|
||||||
sc
|
|
||||||
.textFile(inputPath + "/relation")
|
|
||||||
.map(item -> OBJECT_MAPPER.readValue(item, Relation.class))
|
|
||||||
.rdd(),
|
|
||||||
Encoders.bean(Relation.class));
|
|
||||||
relation.createOrReplaceTempView("relation");
|
relation.createOrReplaceTempView("relation");
|
||||||
|
|
||||||
log.info("Reading Graph table from: {}", inputPath + "/" + resultType);
|
log.info("Reading Graph table from: {}", inputResultPath);
|
||||||
Dataset<R> result = readPathEntity(spark, inputPath + "/" + resultType, resultClazz);
|
Dataset<R> result = readPath(spark, inputResultPath, resultClazz);
|
||||||
|
|
||||||
result.createOrReplaceTempView("result");
|
result.createOrReplaceTempView("result");
|
||||||
|
|
||||||
getPossibleResultOrcidAssociation(spark, allowedsemrel, outputPath + "/" + resultType);
|
|
||||||
}
|
|
||||||
|
|
||||||
private static void getPossibleResultOrcidAssociation(
|
|
||||||
SparkSession spark, List<String> allowedsemrel, String outputPath) {
|
|
||||||
String query = " select target resultId, author authorList"
|
String query = " select target resultId, author authorList"
|
||||||
+ " from (select id, collect_set(named_struct('name', name, 'surname', surname, 'fullname', fullname, 'orcid', orcid)) author "
|
+ " from (select id, collect_set(named_struct('name', name, 'surname', surname, 'fullname', fullname, 'orcid', orcid)) author "
|
||||||
+ " from ( "
|
+ " from ( "
|
||||||
|
@ -120,18 +113,13 @@ public class PrepareResultOrcidAssociationStep1 {
|
||||||
+ getConstraintList(" relclass = '", allowedsemrel)
|
+ getConstraintList(" relclass = '", allowedsemrel)
|
||||||
+ ") rel_rel "
|
+ ") rel_rel "
|
||||||
+ " on source = id";
|
+ " on source = id";
|
||||||
|
|
||||||
spark
|
spark
|
||||||
.sql(query)
|
.sql(query)
|
||||||
.as(Encoders.bean(ResultOrcidList.class))
|
.as(Encoders.bean(ResultOrcidList.class))
|
||||||
.toJavaRDD()
|
.write()
|
||||||
.map(r -> OBJECT_MAPPER.writeValueAsString(r))
|
.option("compression", "gzip")
|
||||||
.saveAsTextFile(outputPath, GzipCodec.class);
|
.mode(SaveMode.Overwrite)
|
||||||
// .toJSON()
|
.json(outputResultPath);
|
||||||
// .write()
|
|
||||||
// .mode(SaveMode.Append)
|
|
||||||
// .option("compression","gzip")
|
|
||||||
// .text(outputPath)
|
|
||||||
// ;
|
|
||||||
}
|
}
|
||||||
|
|
||||||
}
|
}
|
||||||
|
|
|
@ -59,10 +59,10 @@ public class PrepareResultOrcidAssociationStep2 {
|
||||||
|
|
||||||
private static void mergeInfo(SparkSession spark, String inputPath, String outputPath) {
|
private static void mergeInfo(SparkSession spark, String inputPath, String outputPath) {
|
||||||
|
|
||||||
Dataset<ResultOrcidList> resultOrcidAssoc = readAssocResultOrcidList(spark, inputPath + "/publication")
|
Dataset<ResultOrcidList> resultOrcidAssoc = readPath(spark, inputPath + "/publication", ResultOrcidList.class)
|
||||||
.union(readAssocResultOrcidList(spark, inputPath + "/dataset"))
|
.union(readPath(spark, inputPath + "/dataset", ResultOrcidList.class))
|
||||||
.union(readAssocResultOrcidList(spark, inputPath + "/otherresearchproduct"))
|
.union(readPath(spark, inputPath + "/otherresearchproduct", ResultOrcidList.class))
|
||||||
.union(readAssocResultOrcidList(spark, inputPath + "/software"));
|
.union(readPath(spark, inputPath + "/software", ResultOrcidList.class));
|
||||||
|
|
||||||
resultOrcidAssoc
|
resultOrcidAssoc
|
||||||
.toJavaRDD()
|
.toJavaRDD()
|
||||||
|
@ -77,7 +77,6 @@ public class PrepareResultOrcidAssociationStep2 {
|
||||||
}
|
}
|
||||||
Set<String> orcid_set = new HashSet<>();
|
Set<String> orcid_set = new HashSet<>();
|
||||||
a.getAuthorList().stream().forEach(aa -> orcid_set.add(aa.getOrcid()));
|
a.getAuthorList().stream().forEach(aa -> orcid_set.add(aa.getOrcid()));
|
||||||
|
|
||||||
b
|
b
|
||||||
.getAuthorList()
|
.getAuthorList()
|
||||||
.stream()
|
.stream()
|
||||||
|
@ -95,13 +94,4 @@ public class PrepareResultOrcidAssociationStep2 {
|
||||||
.saveAsTextFile(outputPath, GzipCodec.class);
|
.saveAsTextFile(outputPath, GzipCodec.class);
|
||||||
}
|
}
|
||||||
|
|
||||||
private static Dataset<ResultOrcidList> readAssocResultOrcidList(
|
|
||||||
SparkSession spark, String relationPath) {
|
|
||||||
return spark
|
|
||||||
.read()
|
|
||||||
.textFile(relationPath)
|
|
||||||
.map(
|
|
||||||
value -> OBJECT_MAPPER.readValue(value, ResultOrcidList.class),
|
|
||||||
Encoders.bean(ResultOrcidList.class));
|
|
||||||
}
|
|
||||||
}
|
}
|
||||||
|
|
|
@ -6,11 +6,11 @@ import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkHiveSession;
|
||||||
|
|
||||||
import java.util.List;
|
import java.util.List;
|
||||||
import java.util.Optional;
|
import java.util.Optional;
|
||||||
import java.util.function.Consumer;
|
|
||||||
|
|
||||||
import org.apache.commons.io.IOUtils;
|
import org.apache.commons.io.IOUtils;
|
||||||
import org.apache.commons.lang3.StringUtils;
|
import org.apache.commons.lang3.StringUtils;
|
||||||
import org.apache.spark.SparkConf;
|
import org.apache.spark.SparkConf;
|
||||||
|
import org.apache.spark.api.java.function.MapFunction;
|
||||||
import org.apache.spark.sql.Dataset;
|
import org.apache.spark.sql.Dataset;
|
||||||
import org.apache.spark.sql.Encoders;
|
import org.apache.spark.sql.Encoders;
|
||||||
import org.apache.spark.sql.SaveMode;
|
import org.apache.spark.sql.SaveMode;
|
||||||
|
@ -25,21 +25,19 @@ import eu.dnetlib.dhp.application.ArgumentApplicationParser;
|
||||||
import eu.dnetlib.dhp.schema.oaf.Author;
|
import eu.dnetlib.dhp.schema.oaf.Author;
|
||||||
import eu.dnetlib.dhp.schema.oaf.Result;
|
import eu.dnetlib.dhp.schema.oaf.Result;
|
||||||
import eu.dnetlib.dhp.schema.oaf.StructuredProperty;
|
import eu.dnetlib.dhp.schema.oaf.StructuredProperty;
|
||||||
|
import scala.Tuple2;
|
||||||
|
|
||||||
public class SparkOrcidToResultFromSemRelJob3 {
|
public class SparkOrcidToResultFromSemRelJob {
|
||||||
private static final Logger log = LoggerFactory.getLogger(SparkOrcidToResultFromSemRelJob3.class);
|
private static final Logger log = LoggerFactory.getLogger(SparkOrcidToResultFromSemRelJob.class);
|
||||||
|
|
||||||
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
|
|
||||||
|
|
||||||
public static void main(String[] args) throws Exception {
|
public static void main(String[] args) throws Exception {
|
||||||
String jsonConfiguration = IOUtils
|
String jsonConfiguration = IOUtils
|
||||||
.toString(
|
.toString(
|
||||||
SparkOrcidToResultFromSemRelJob3.class
|
SparkOrcidToResultFromSemRelJob.class
|
||||||
.getResourceAsStream(
|
.getResourceAsStream(
|
||||||
"/eu/dnetlib/dhp/orcidtoresultfromsemrel/input_orcidtoresult_parameters.json"));
|
"/eu/dnetlib/dhp/orcidtoresultfromsemrel/input_orcidtoresult_parameters.json"));
|
||||||
|
|
||||||
final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
|
final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
|
||||||
|
|
||||||
parser.parseArgument(args);
|
parser.parseArgument(args);
|
||||||
|
|
||||||
Boolean isSparkSessionManaged = isSparkSessionManaged(parser);
|
Boolean isSparkSessionManaged = isSparkSessionManaged(parser);
|
||||||
|
@ -88,9 +86,9 @@ public class SparkOrcidToResultFromSemRelJob3 {
|
||||||
Class<R> resultClazz) {
|
Class<R> resultClazz) {
|
||||||
|
|
||||||
// read possible updates (resultId and list of possible orcid to add
|
// read possible updates (resultId and list of possible orcid to add
|
||||||
Dataset<ResultOrcidList> possible_updates = readAssocResultOrcidList(spark, possibleUpdatesPath);
|
Dataset<ResultOrcidList> possible_updates = readPath(spark, possibleUpdatesPath, ResultOrcidList.class);
|
||||||
// read the result we have been considering
|
// read the result we have been considering
|
||||||
Dataset<R> result = readPathEntity(spark, inputPath, resultClazz);
|
Dataset<R> result = readPath(spark, inputPath, resultClazz);
|
||||||
// make join result left_outer with possible updates
|
// make join result left_outer with possible updates
|
||||||
|
|
||||||
result
|
result
|
||||||
|
@ -98,8 +96,15 @@ public class SparkOrcidToResultFromSemRelJob3 {
|
||||||
possible_updates,
|
possible_updates,
|
||||||
result.col("id").equalTo(possible_updates.col("resultId")),
|
result.col("id").equalTo(possible_updates.col("resultId")),
|
||||||
"left_outer")
|
"left_outer")
|
||||||
.map(
|
.map(authorEnrichFn(), Encoders.bean(resultClazz))
|
||||||
value -> {
|
.write()
|
||||||
|
.mode(SaveMode.Overwrite)
|
||||||
|
.option("compression", "gzip")
|
||||||
|
.json(outputPath);
|
||||||
|
}
|
||||||
|
|
||||||
|
private static <R extends Result> MapFunction<Tuple2<R, ResultOrcidList>, R> authorEnrichFn() {
|
||||||
|
return (MapFunction<Tuple2<R, ResultOrcidList>, R>) value -> {
|
||||||
R ret = value._1();
|
R ret = value._1();
|
||||||
Optional<ResultOrcidList> rol = Optional.ofNullable(value._2());
|
Optional<ResultOrcidList> rol = Optional.ofNullable(value._2());
|
||||||
if (rol.isPresent()) {
|
if (rol.isPresent()) {
|
||||||
|
@ -113,23 +118,7 @@ public class SparkOrcidToResultFromSemRelJob3 {
|
||||||
}
|
}
|
||||||
|
|
||||||
return ret;
|
return ret;
|
||||||
},
|
};
|
||||||
Encoders.bean(resultClazz))
|
|
||||||
.toJSON()
|
|
||||||
.write()
|
|
||||||
.mode(SaveMode.Overwrite)
|
|
||||||
.option("compression", "gzip")
|
|
||||||
.text(outputPath);
|
|
||||||
}
|
|
||||||
|
|
||||||
private static Dataset<ResultOrcidList> readAssocResultOrcidList(
|
|
||||||
SparkSession spark, String relationPath) {
|
|
||||||
return spark
|
|
||||||
.read()
|
|
||||||
.textFile(relationPath)
|
|
||||||
.map(
|
|
||||||
value -> OBJECT_MAPPER.readValue(value, ResultOrcidList.class),
|
|
||||||
Encoders.bean(ResultOrcidList.class));
|
|
||||||
}
|
}
|
||||||
|
|
||||||
private static void enrichAuthor(Author a, List<AutoritativeAuthor> au) {
|
private static void enrichAuthor(Author a, List<AutoritativeAuthor> au) {
|
|
@ -25,7 +25,6 @@ import eu.dnetlib.dhp.schema.oaf.Relation;
|
||||||
|
|
||||||
public class PrepareProjectResultsAssociation {
|
public class PrepareProjectResultsAssociation {
|
||||||
private static final Logger log = LoggerFactory.getLogger(PrepareDatasourceCountryAssociation.class);
|
private static final Logger log = LoggerFactory.getLogger(PrepareDatasourceCountryAssociation.class);
|
||||||
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
|
|
||||||
|
|
||||||
public static void main(String[] args) throws Exception {
|
public static void main(String[] args) throws Exception {
|
||||||
|
|
||||||
|
@ -61,8 +60,6 @@ public class PrepareProjectResultsAssociation {
|
||||||
conf,
|
conf,
|
||||||
isSparkSessionManaged,
|
isSparkSessionManaged,
|
||||||
spark -> {
|
spark -> {
|
||||||
// removeOutputDir(spark, potentialUpdatePath);
|
|
||||||
// removeOutputDir(spark, alreadyLinkedPath);
|
|
||||||
prepareResultProjProjectResults(
|
prepareResultProjProjectResults(
|
||||||
spark,
|
spark,
|
||||||
inputPath,
|
inputPath,
|
||||||
|
@ -78,28 +75,21 @@ public class PrepareProjectResultsAssociation {
|
||||||
String potentialUpdatePath,
|
String potentialUpdatePath,
|
||||||
String alreadyLinkedPath,
|
String alreadyLinkedPath,
|
||||||
List<String> allowedsemrel) {
|
List<String> allowedsemrel) {
|
||||||
JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
|
|
||||||
Dataset<Relation> relation = spark
|
|
||||||
.createDataset(
|
|
||||||
sc
|
|
||||||
.textFile(inputPath)
|
|
||||||
.map(item -> OBJECT_MAPPER.readValue(item, Relation.class))
|
|
||||||
.rdd(),
|
|
||||||
Encoders.bean(Relation.class));
|
|
||||||
|
|
||||||
|
Dataset<Relation> relation = readPath(spark, inputPath, Relation.class);
|
||||||
relation.createOrReplaceTempView("relation");
|
relation.createOrReplaceTempView("relation");
|
||||||
|
|
||||||
String query = "SELECT source, target "
|
String resproj_relation_query = "SELECT source, target "
|
||||||
+ " FROM relation "
|
+ " FROM relation "
|
||||||
+ " WHERE datainfo.deletedbyinference = false "
|
+ " WHERE datainfo.deletedbyinference = false "
|
||||||
+ " AND relClass = '"
|
+ " AND relClass = '"
|
||||||
+ RELATION_RESULT_PROJECT_REL_CLASS
|
+ RELATION_RESULT_PROJECT_REL_CLASS
|
||||||
+ "'";
|
+ "'";
|
||||||
|
|
||||||
Dataset<Row> resproj_relation = spark.sql(query);
|
Dataset<Row> resproj_relation = spark.sql(resproj_relation_query);
|
||||||
resproj_relation.createOrReplaceTempView("resproj_relation");
|
resproj_relation.createOrReplaceTempView("resproj_relation");
|
||||||
|
|
||||||
query = "SELECT resultId, collect_set(projectId) projectSet "
|
String potential_update_query = "SELECT resultId, collect_set(projectId) projectSet "
|
||||||
+ "FROM ( "
|
+ "FROM ( "
|
||||||
+ "SELECT r1.target resultId, r2.target projectId "
|
+ "SELECT r1.target resultId, r2.target projectId "
|
||||||
+ " FROM (SELECT source, target "
|
+ " FROM (SELECT source, target "
|
||||||
|
@ -111,46 +101,26 @@ public class PrepareProjectResultsAssociation {
|
||||||
+ " ON r1.source = r2.source "
|
+ " ON r1.source = r2.source "
|
||||||
+ " ) tmp "
|
+ " ) tmp "
|
||||||
+ "GROUP BY resultId ";
|
+ "GROUP BY resultId ";
|
||||||
// query =
|
|
||||||
// "SELECT projectId, collect_set(resId) resultSet "
|
|
||||||
// + "FROM ("
|
|
||||||
// + " SELECT r1.target resId, r2.target projectId "
|
|
||||||
// + " FROM (SELECT source, target "
|
|
||||||
// + " FROM relation "
|
|
||||||
// + " WHERE datainfo.deletedbyinference = false "
|
|
||||||
// + getConstraintList(" relClass = '", allowedsemrel)
|
|
||||||
// + ") r1"
|
|
||||||
// + " JOIN resproj_relation r2 "
|
|
||||||
// + " ON r1.source = r2.source "
|
|
||||||
// + " ) tmp "
|
|
||||||
// + "GROUP BY projectId ";
|
|
||||||
|
|
||||||
spark
|
spark
|
||||||
.sql(query)
|
.sql(potential_update_query)
|
||||||
.as(Encoders.bean(ResultProjectSet.class))
|
.as(Encoders.bean(ResultProjectSet.class))
|
||||||
// .toJSON()
|
.write()
|
||||||
// .write()
|
.option("compression", "gzip")
|
||||||
// .mode(SaveMode.Overwrite)
|
.mode(SaveMode.Overwrite)
|
||||||
// .option("compression", "gzip")
|
.json(potentialUpdatePath);
|
||||||
// .text(potentialUpdatePath);
|
|
||||||
.toJavaRDD()
|
|
||||||
.map(r -> OBJECT_MAPPER.writeValueAsString(r))
|
|
||||||
.saveAsTextFile(potentialUpdatePath, GzipCodec.class);
|
|
||||||
|
|
||||||
query = "SELECT source resultId, collect_set(target) projectSet "
|
String result_projectset_query = "SELECT source resultId, collect_set(target) projectSet "
|
||||||
+ "FROM resproj_relation "
|
+ "FROM resproj_relation "
|
||||||
+ "GROUP BY source";
|
+ "GROUP BY source";
|
||||||
|
|
||||||
spark
|
spark
|
||||||
.sql(query)
|
.sql(result_projectset_query)
|
||||||
.as(Encoders.bean(ResultProjectSet.class))
|
.as(Encoders.bean(ResultProjectSet.class))
|
||||||
// .toJSON()
|
.write()
|
||||||
// .write()
|
.option("compression", "gzip")
|
||||||
// .mode(SaveMode.Overwrite)
|
.mode(SaveMode.Overwrite)
|
||||||
// .option("compression", "gzip")
|
.json(alreadyLinkedPath);
|
||||||
// .text(alreadyLinkedPath);
|
|
||||||
.toJavaRDD()
|
|
||||||
.map(r -> OBJECT_MAPPER.writeValueAsString(r))
|
|
||||||
.saveAsTextFile(alreadyLinkedPath, GzipCodec.class);
|
|
||||||
}
|
}
|
||||||
|
|
||||||
}
|
}
|
||||||
|
|
|
@ -0,0 +1,147 @@
|
||||||
|
|
||||||
|
package eu.dnetlib.dhp.projecttoresult;
|
||||||
|
|
||||||
|
import static eu.dnetlib.dhp.PropagationConstant.*;
|
||||||
|
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
|
||||||
|
|
||||||
|
import java.util.ArrayList;
|
||||||
|
import java.util.Iterator;
|
||||||
|
import java.util.List;
|
||||||
|
import java.util.Optional;
|
||||||
|
|
||||||
|
import org.apache.commons.io.IOUtils;
|
||||||
|
import org.apache.spark.SparkConf;
|
||||||
|
import org.apache.spark.api.java.function.FlatMapFunction;
|
||||||
|
import org.apache.spark.sql.*;
|
||||||
|
import org.slf4j.Logger;
|
||||||
|
import org.slf4j.LoggerFactory;
|
||||||
|
|
||||||
|
import com.fasterxml.jackson.databind.ObjectMapper;
|
||||||
|
|
||||||
|
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
|
||||||
|
import eu.dnetlib.dhp.countrypropagation.PrepareDatasourceCountryAssociation;
|
||||||
|
import eu.dnetlib.dhp.schema.oaf.Relation;
|
||||||
|
import scala.Tuple2;
|
||||||
|
|
||||||
|
public class SparkResultToProjectThroughSemRelJob {
|
||||||
|
|
||||||
|
private static final Logger log = LoggerFactory.getLogger(PrepareDatasourceCountryAssociation.class);
|
||||||
|
|
||||||
|
public static void main(String[] args) throws Exception {
|
||||||
|
|
||||||
|
String jsonConfiguration = IOUtils
|
||||||
|
.toString(
|
||||||
|
SparkResultToProjectThroughSemRelJob.class
|
||||||
|
.getResourceAsStream(
|
||||||
|
"/eu/dnetlib/dhp/projecttoresult/input_projecttoresult_parameters.json"));
|
||||||
|
|
||||||
|
final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
|
||||||
|
|
||||||
|
parser.parseArgument(args);
|
||||||
|
|
||||||
|
Boolean isSparkSessionManaged = isSparkSessionManaged(parser);
|
||||||
|
log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
|
||||||
|
|
||||||
|
final String outputPath = parser.get("outputPath");
|
||||||
|
log.info("outputPath {}: ", outputPath);
|
||||||
|
|
||||||
|
final String potentialUpdatePath = parser.get("potentialUpdatePath");
|
||||||
|
log.info("potentialUpdatePath {}: ", potentialUpdatePath);
|
||||||
|
|
||||||
|
final String alreadyLinkedPath = parser.get("alreadyLinkedPath");
|
||||||
|
log.info("alreadyLinkedPath {}: ", alreadyLinkedPath);
|
||||||
|
|
||||||
|
final Boolean saveGraph = Boolean.valueOf(parser.get("saveGraph"));
|
||||||
|
log.info("saveGraph: {}", saveGraph);
|
||||||
|
|
||||||
|
SparkConf conf = new SparkConf();
|
||||||
|
|
||||||
|
runWithSparkSession(
|
||||||
|
conf,
|
||||||
|
isSparkSessionManaged,
|
||||||
|
spark -> {
|
||||||
|
if (isTest(parser)) {
|
||||||
|
removeOutputDir(spark, outputPath);
|
||||||
|
}
|
||||||
|
execPropagation(
|
||||||
|
spark, outputPath, alreadyLinkedPath, potentialUpdatePath, saveGraph);
|
||||||
|
});
|
||||||
|
}
|
||||||
|
|
||||||
|
private static void execPropagation(
|
||||||
|
SparkSession spark,
|
||||||
|
String outputPath,
|
||||||
|
String alreadyLinkedPath,
|
||||||
|
String potentialUpdatePath,
|
||||||
|
Boolean saveGraph) {
|
||||||
|
|
||||||
|
Dataset<ResultProjectSet> toaddrelations = readPath(spark, potentialUpdatePath, ResultProjectSet.class);
|
||||||
|
Dataset<ResultProjectSet> alreadyLinked = readPath(spark, alreadyLinkedPath, ResultProjectSet.class);
|
||||||
|
|
||||||
|
if (saveGraph) {
|
||||||
|
toaddrelations
|
||||||
|
.joinWith(
|
||||||
|
alreadyLinked,
|
||||||
|
toaddrelations.col("resultId").equalTo(alreadyLinked.col("resultId")),
|
||||||
|
"left_outer")
|
||||||
|
.flatMap(mapRelationRn(), Encoders.bean(Relation.class))
|
||||||
|
.write()
|
||||||
|
.mode(SaveMode.Append)
|
||||||
|
.option("compression", "gzip")
|
||||||
|
.json(outputPath);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
private static FlatMapFunction<Tuple2<ResultProjectSet, ResultProjectSet>, Relation> mapRelationRn() {
|
||||||
|
return (FlatMapFunction<Tuple2<ResultProjectSet, ResultProjectSet>, Relation>) value -> {
|
||||||
|
List<Relation> new_relations = new ArrayList<>();
|
||||||
|
ResultProjectSet potential_update = value._1();
|
||||||
|
Optional<ResultProjectSet> already_linked = Optional.ofNullable(value._2());
|
||||||
|
if (already_linked.isPresent()) {
|
||||||
|
already_linked
|
||||||
|
.get()
|
||||||
|
.getProjectSet()
|
||||||
|
.stream()
|
||||||
|
.forEach(
|
||||||
|
(p -> {
|
||||||
|
if (potential_update
|
||||||
|
.getProjectSet()
|
||||||
|
.contains(p)) {
|
||||||
|
potential_update.getProjectSet().remove(p);
|
||||||
|
}
|
||||||
|
}));
|
||||||
|
}
|
||||||
|
String resId = potential_update.getResultId();
|
||||||
|
potential_update
|
||||||
|
.getProjectSet()
|
||||||
|
.stream()
|
||||||
|
.forEach(
|
||||||
|
projectId -> {
|
||||||
|
new_relations
|
||||||
|
.add(
|
||||||
|
getRelation(
|
||||||
|
resId,
|
||||||
|
projectId,
|
||||||
|
RELATION_RESULT_PROJECT_REL_CLASS,
|
||||||
|
RELATION_RESULTPROJECT_REL_TYPE,
|
||||||
|
RELATION_RESULTPROJECT_SUBREL_TYPE,
|
||||||
|
PROPAGATION_DATA_INFO_TYPE,
|
||||||
|
PROPAGATION_RELATION_RESULT_PROJECT_SEM_REL_CLASS_ID,
|
||||||
|
PROPAGATION_RELATION_RESULT_PROJECT_SEM_REL_CLASS_NAME));
|
||||||
|
new_relations
|
||||||
|
.add(
|
||||||
|
getRelation(
|
||||||
|
projectId,
|
||||||
|
resId,
|
||||||
|
RELATION_PROJECT_RESULT_REL_CLASS,
|
||||||
|
RELATION_RESULTPROJECT_REL_TYPE,
|
||||||
|
RELATION_RESULTPROJECT_SUBREL_TYPE,
|
||||||
|
PROPAGATION_DATA_INFO_TYPE,
|
||||||
|
PROPAGATION_RELATION_RESULT_PROJECT_SEM_REL_CLASS_ID,
|
||||||
|
PROPAGATION_RELATION_RESULT_PROJECT_SEM_REL_CLASS_NAME));
|
||||||
|
});
|
||||||
|
return new_relations.iterator();
|
||||||
|
};
|
||||||
|
}
|
||||||
|
|
||||||
|
}
|
|
@ -1,159 +0,0 @@
|
||||||
|
|
||||||
package eu.dnetlib.dhp.projecttoresult;
|
|
||||||
|
|
||||||
import static eu.dnetlib.dhp.PropagationConstant.*;
|
|
||||||
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
|
|
||||||
|
|
||||||
import java.util.ArrayList;
|
|
||||||
import java.util.List;
|
|
||||||
import java.util.Optional;
|
|
||||||
|
|
||||||
import org.apache.commons.io.IOUtils;
|
|
||||||
import org.apache.spark.SparkConf;
|
|
||||||
import org.apache.spark.sql.*;
|
|
||||||
import org.slf4j.Logger;
|
|
||||||
import org.slf4j.LoggerFactory;
|
|
||||||
|
|
||||||
import com.fasterxml.jackson.databind.ObjectMapper;
|
|
||||||
|
|
||||||
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
|
|
||||||
import eu.dnetlib.dhp.countrypropagation.PrepareDatasourceCountryAssociation;
|
|
||||||
import eu.dnetlib.dhp.schema.oaf.Relation;
|
|
||||||
|
|
||||||
public class SparkResultToProjectThroughSemRelJob3 {
|
|
||||||
|
|
||||||
private static final Logger log = LoggerFactory.getLogger(PrepareDatasourceCountryAssociation.class);
|
|
||||||
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
|
|
||||||
|
|
||||||
public static void main(String[] args) throws Exception {
|
|
||||||
|
|
||||||
String jsonConfiguration = IOUtils
|
|
||||||
.toString(
|
|
||||||
SparkResultToProjectThroughSemRelJob3.class
|
|
||||||
.getResourceAsStream(
|
|
||||||
"/eu/dnetlib/dhp/projecttoresult/input_projecttoresult_parameters.json"));
|
|
||||||
|
|
||||||
final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
|
|
||||||
|
|
||||||
parser.parseArgument(args);
|
|
||||||
|
|
||||||
Boolean isSparkSessionManaged = isSparkSessionManaged(parser);
|
|
||||||
log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
|
|
||||||
|
|
||||||
final String outputPath = parser.get("outputPath");
|
|
||||||
log.info("outputPath {}: ", outputPath);
|
|
||||||
|
|
||||||
final String potentialUpdatePath = parser.get("potentialUpdatePath");
|
|
||||||
log.info("potentialUpdatePath {}: ", potentialUpdatePath);
|
|
||||||
|
|
||||||
final String alreadyLinkedPath = parser.get("alreadyLinkedPath");
|
|
||||||
log.info("alreadyLinkedPath {}: ", alreadyLinkedPath);
|
|
||||||
|
|
||||||
final Boolean saveGraph = Boolean.valueOf(parser.get("saveGraph"));
|
|
||||||
log.info("saveGraph: {}", saveGraph);
|
|
||||||
|
|
||||||
SparkConf conf = new SparkConf();
|
|
||||||
|
|
||||||
runWithSparkSession(
|
|
||||||
conf,
|
|
||||||
isSparkSessionManaged,
|
|
||||||
spark -> {
|
|
||||||
if (isTest(parser)) {
|
|
||||||
removeOutputDir(spark, outputPath);
|
|
||||||
}
|
|
||||||
execPropagation(
|
|
||||||
spark, outputPath, alreadyLinkedPath, potentialUpdatePath, saveGraph);
|
|
||||||
});
|
|
||||||
}
|
|
||||||
|
|
||||||
private static void execPropagation(
|
|
||||||
SparkSession spark,
|
|
||||||
String outputPath,
|
|
||||||
String alreadyLinkedPath,
|
|
||||||
String potentialUpdatePath,
|
|
||||||
Boolean saveGraph) {
|
|
||||||
|
|
||||||
Dataset<ResultProjectSet> toaddrelations = readAssocResultProjects(spark, potentialUpdatePath);
|
|
||||||
Dataset<ResultProjectSet> alreadyLinked = readAssocResultProjects(spark, alreadyLinkedPath);
|
|
||||||
|
|
||||||
if (saveGraph) {
|
|
||||||
getNewRelations(alreadyLinked, toaddrelations)
|
|
||||||
.toJSON()
|
|
||||||
.write()
|
|
||||||
.mode(SaveMode.Append)
|
|
||||||
.option("compression", "gzip")
|
|
||||||
.text(outputPath);
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
||||||
private static Dataset<Relation> getNewRelations(
|
|
||||||
Dataset<ResultProjectSet> alreadyLinked, Dataset<ResultProjectSet> toaddrelations) {
|
|
||||||
|
|
||||||
return toaddrelations
|
|
||||||
.joinWith(
|
|
||||||
alreadyLinked,
|
|
||||||
toaddrelations.col("resultId").equalTo(alreadyLinked.col("resultId")),
|
|
||||||
"left_outer")
|
|
||||||
.flatMap(
|
|
||||||
value -> {
|
|
||||||
List<Relation> new_relations = new ArrayList<>();
|
|
||||||
ResultProjectSet potential_update = value._1();
|
|
||||||
Optional<ResultProjectSet> already_linked = Optional.ofNullable(value._2());
|
|
||||||
if (already_linked.isPresent()) {
|
|
||||||
already_linked
|
|
||||||
.get()
|
|
||||||
.getProjectSet()
|
|
||||||
.stream()
|
|
||||||
.forEach(
|
|
||||||
(p -> {
|
|
||||||
if (potential_update
|
|
||||||
.getProjectSet()
|
|
||||||
.contains(p)) {
|
|
||||||
potential_update.getProjectSet().remove(p);
|
|
||||||
}
|
|
||||||
}));
|
|
||||||
}
|
|
||||||
String resId = potential_update.getResultId();
|
|
||||||
potential_update
|
|
||||||
.getProjectSet()
|
|
||||||
.stream()
|
|
||||||
.forEach(
|
|
||||||
pId -> {
|
|
||||||
new_relations
|
|
||||||
.add(
|
|
||||||
getRelation(
|
|
||||||
resId,
|
|
||||||
pId,
|
|
||||||
RELATION_RESULT_PROJECT_REL_CLASS,
|
|
||||||
RELATION_RESULTPROJECT_REL_TYPE,
|
|
||||||
RELATION_RESULTPROJECT_SUBREL_TYPE,
|
|
||||||
PROPAGATION_DATA_INFO_TYPE,
|
|
||||||
PROPAGATION_RELATION_RESULT_PROJECT_SEM_REL_CLASS_ID,
|
|
||||||
PROPAGATION_RELATION_RESULT_PROJECT_SEM_REL_CLASS_NAME));
|
|
||||||
new_relations
|
|
||||||
.add(
|
|
||||||
getRelation(
|
|
||||||
pId,
|
|
||||||
resId,
|
|
||||||
RELATION_PROJECT_RESULT_REL_CLASS,
|
|
||||||
RELATION_RESULTPROJECT_REL_TYPE,
|
|
||||||
RELATION_RESULTPROJECT_SUBREL_TYPE,
|
|
||||||
PROPAGATION_DATA_INFO_TYPE,
|
|
||||||
PROPAGATION_RELATION_RESULT_PROJECT_SEM_REL_CLASS_ID,
|
|
||||||
PROPAGATION_RELATION_RESULT_PROJECT_SEM_REL_CLASS_NAME));
|
|
||||||
});
|
|
||||||
return new_relations.iterator();
|
|
||||||
},
|
|
||||||
Encoders.bean(Relation.class));
|
|
||||||
}
|
|
||||||
|
|
||||||
private static Dataset<ResultProjectSet> readAssocResultProjects(
|
|
||||||
SparkSession spark, String potentialUpdatePath) {
|
|
||||||
return spark
|
|
||||||
.read()
|
|
||||||
.textFile(potentialUpdatePath)
|
|
||||||
.map(
|
|
||||||
value -> OBJECT_MAPPER.readValue(value, ResultProjectSet.class),
|
|
||||||
Encoders.bean(ResultProjectSet.class));
|
|
||||||
}
|
|
||||||
}
|
|
|
@ -8,6 +8,7 @@ import java.util.*;
|
||||||
|
|
||||||
import org.apache.commons.io.IOUtils;
|
import org.apache.commons.io.IOUtils;
|
||||||
import org.apache.spark.SparkConf;
|
import org.apache.spark.SparkConf;
|
||||||
|
import org.apache.spark.api.java.function.MapFunction;
|
||||||
import org.apache.spark.sql.*;
|
import org.apache.spark.sql.*;
|
||||||
import org.slf4j.Logger;
|
import org.slf4j.Logger;
|
||||||
import org.slf4j.LoggerFactory;
|
import org.slf4j.LoggerFactory;
|
||||||
|
@ -22,8 +23,6 @@ public class PrepareResultCommunitySet {
|
||||||
|
|
||||||
private static final Logger log = LoggerFactory.getLogger(PrepareResultCommunitySet.class);
|
private static final Logger log = LoggerFactory.getLogger(PrepareResultCommunitySet.class);
|
||||||
|
|
||||||
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
|
|
||||||
|
|
||||||
public static void main(String[] args) throws Exception {
|
public static void main(String[] args) throws Exception {
|
||||||
String jsonConfiguration = IOUtils
|
String jsonConfiguration = IOUtils
|
||||||
.toString(
|
.toString(
|
||||||
|
@ -32,7 +31,6 @@ public class PrepareResultCommunitySet {
|
||||||
"/eu/dnetlib/dhp/resulttocommunityfromorganization/input_preparecommunitytoresult_parameters.json"));
|
"/eu/dnetlib/dhp/resulttocommunityfromorganization/input_preparecommunitytoresult_parameters.json"));
|
||||||
|
|
||||||
final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
|
final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
|
||||||
|
|
||||||
parser.parseArgument(args);
|
parser.parseArgument(args);
|
||||||
|
|
||||||
Boolean isSparkSessionManaged = isSparkSessionManaged(parser);
|
Boolean isSparkSessionManaged = isSparkSessionManaged(parser);
|
||||||
|
@ -69,7 +67,8 @@ public class PrepareResultCommunitySet {
|
||||||
String inputPath,
|
String inputPath,
|
||||||
String outputPath,
|
String outputPath,
|
||||||
OrganizationMap organizationMap) {
|
OrganizationMap organizationMap) {
|
||||||
Dataset<Relation> relation = readRelations(spark, inputPath);
|
|
||||||
|
Dataset<Relation> relation = readPath(spark, inputPath, Relation.class);
|
||||||
relation.createOrReplaceTempView("relation");
|
relation.createOrReplaceTempView("relation");
|
||||||
|
|
||||||
String query = "SELECT result_organization.source resultId, result_organization.target orgId, org_set merges "
|
String query = "SELECT result_organization.source resultId, result_organization.target orgId, org_set merges "
|
||||||
|
@ -88,13 +87,22 @@ public class PrepareResultCommunitySet {
|
||||||
+ " GROUP BY source) organization_organization "
|
+ " GROUP BY source) organization_organization "
|
||||||
+ "ON result_organization.target = organization_organization.source ";
|
+ "ON result_organization.target = organization_organization.source ";
|
||||||
|
|
||||||
org.apache.spark.sql.Dataset<ResultOrganizations> result_organizationset = spark
|
Dataset<ResultOrganizations> result_organizationset = spark
|
||||||
.sql(query)
|
.sql(query)
|
||||||
.as(Encoders.bean(ResultOrganizations.class));
|
.as(Encoders.bean(ResultOrganizations.class));
|
||||||
|
|
||||||
result_organizationset
|
result_organizationset
|
||||||
.map(
|
.map(mapResultCommunityFn(organizationMap), Encoders.bean(ResultCommunityList.class))
|
||||||
value -> {
|
.filter(Objects::nonNull)
|
||||||
|
.write()
|
||||||
|
.mode(SaveMode.Overwrite)
|
||||||
|
.option("compression", "gzip")
|
||||||
|
.json(outputPath);
|
||||||
|
}
|
||||||
|
|
||||||
|
private static MapFunction<ResultOrganizations, ResultCommunityList> mapResultCommunityFn(
|
||||||
|
OrganizationMap organizationMap) {
|
||||||
|
return (MapFunction<ResultOrganizations, ResultCommunityList>) value -> {
|
||||||
String rId = value.getResultId();
|
String rId = value.getResultId();
|
||||||
Optional<List<String>> orgs = Optional.ofNullable(value.getMerges());
|
Optional<List<String>> orgs = Optional.ofNullable(value.getMerges());
|
||||||
String oTarget = value.getOrgId();
|
String oTarget = value.getOrgId();
|
||||||
|
@ -103,15 +111,11 @@ public class PrepareResultCommunitySet {
|
||||||
communitySet.addAll(organizationMap.get(oTarget));
|
communitySet.addAll(organizationMap.get(oTarget));
|
||||||
}
|
}
|
||||||
if (orgs.isPresent())
|
if (orgs.isPresent())
|
||||||
// try{
|
|
||||||
for (String oId : orgs.get()) {
|
for (String oId : orgs.get()) {
|
||||||
if (organizationMap.containsKey(oId)) {
|
if (organizationMap.containsKey(oId)) {
|
||||||
communitySet.addAll(organizationMap.get(oId));
|
communitySet.addAll(organizationMap.get(oId));
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
// }catch(Exception e){
|
|
||||||
//
|
|
||||||
// }
|
|
||||||
if (communitySet.size() > 0) {
|
if (communitySet.size() > 0) {
|
||||||
ResultCommunityList rcl = new ResultCommunityList();
|
ResultCommunityList rcl = new ResultCommunityList();
|
||||||
rcl.setResultId(rId);
|
rcl.setResultId(rId);
|
||||||
|
@ -121,13 +125,6 @@ public class PrepareResultCommunitySet {
|
||||||
return rcl;
|
return rcl;
|
||||||
}
|
}
|
||||||
return null;
|
return null;
|
||||||
},
|
};
|
||||||
Encoders.bean(ResultCommunityList.class))
|
|
||||||
.filter(r -> r != null)
|
|
||||||
.toJSON()
|
|
||||||
.write()
|
|
||||||
.mode(SaveMode.Overwrite)
|
|
||||||
.option("compression", "gzip")
|
|
||||||
.text(outputPath);
|
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
|
@ -9,6 +9,8 @@ import java.util.stream.Collectors;
|
||||||
|
|
||||||
import org.apache.commons.io.IOUtils;
|
import org.apache.commons.io.IOUtils;
|
||||||
import org.apache.spark.SparkConf;
|
import org.apache.spark.SparkConf;
|
||||||
|
import org.apache.spark.api.java.function.MapFunction;
|
||||||
|
import org.apache.spark.sql.Dataset;
|
||||||
import org.apache.spark.sql.Encoders;
|
import org.apache.spark.sql.Encoders;
|
||||||
import org.apache.spark.sql.SaveMode;
|
import org.apache.spark.sql.SaveMode;
|
||||||
import org.apache.spark.sql.SparkSession;
|
import org.apache.spark.sql.SparkSession;
|
||||||
|
@ -19,17 +21,16 @@ import com.fasterxml.jackson.databind.ObjectMapper;
|
||||||
|
|
||||||
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
|
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
|
||||||
import eu.dnetlib.dhp.schema.oaf.*;
|
import eu.dnetlib.dhp.schema.oaf.*;
|
||||||
|
import scala.Tuple2;
|
||||||
|
|
||||||
public class SparkResultToCommunityFromOrganizationJob2 {
|
public class SparkResultToCommunityFromOrganizationJob {
|
||||||
|
|
||||||
private static final Logger log = LoggerFactory.getLogger(SparkResultToCommunityFromOrganizationJob2.class);
|
private static final Logger log = LoggerFactory.getLogger(SparkResultToCommunityFromOrganizationJob.class);
|
||||||
|
|
||||||
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
|
|
||||||
|
|
||||||
public static void main(String[] args) throws Exception {
|
public static void main(String[] args) throws Exception {
|
||||||
String jsonConfiguration = IOUtils
|
String jsonConfiguration = IOUtils
|
||||||
.toString(
|
.toString(
|
||||||
SparkResultToCommunityFromOrganizationJob2.class
|
SparkResultToCommunityFromOrganizationJob.class
|
||||||
.getResourceAsStream(
|
.getResourceAsStream(
|
||||||
"/eu/dnetlib/dhp/resulttocommunityfromorganization/input_communitytoresult_parameters.json"));
|
"/eu/dnetlib/dhp/resulttocommunityfromorganization/input_communitytoresult_parameters.json"));
|
||||||
|
|
||||||
|
@ -81,17 +82,24 @@ public class SparkResultToCommunityFromOrganizationJob2 {
|
||||||
String outputPath,
|
String outputPath,
|
||||||
Class<R> resultClazz,
|
Class<R> resultClazz,
|
||||||
String possibleUpdatesPath) {
|
String possibleUpdatesPath) {
|
||||||
org.apache.spark.sql.Dataset<ResultCommunityList> possibleUpdates = readResultCommunityList(
|
|
||||||
spark, possibleUpdatesPath);
|
Dataset<ResultCommunityList> possibleUpdates = readPath(spark, possibleUpdatesPath, ResultCommunityList.class);
|
||||||
org.apache.spark.sql.Dataset<R> result = readPathEntity(spark, inputPath, resultClazz);
|
Dataset<R> result = readPath(spark, inputPath, resultClazz);
|
||||||
|
|
||||||
result
|
result
|
||||||
.joinWith(
|
.joinWith(
|
||||||
possibleUpdates,
|
possibleUpdates,
|
||||||
result.col("id").equalTo(possibleUpdates.col("resultId")),
|
result.col("id").equalTo(possibleUpdates.col("resultId")),
|
||||||
"left_outer")
|
"left_outer")
|
||||||
.map(
|
.map(resultCommunityFn(), Encoders.bean(resultClazz))
|
||||||
value -> {
|
.write()
|
||||||
|
.mode(SaveMode.Overwrite)
|
||||||
|
.option("compression", "gzip")
|
||||||
|
.json(outputPath);
|
||||||
|
}
|
||||||
|
|
||||||
|
private static <R extends Result> MapFunction<Tuple2<R, ResultCommunityList>, R> resultCommunityFn() {
|
||||||
|
return (MapFunction<Tuple2<R, ResultCommunityList>, R>) value -> {
|
||||||
R ret = value._1();
|
R ret = value._1();
|
||||||
Optional<ResultCommunityList> rcl = Optional.ofNullable(value._2());
|
Optional<ResultCommunityList> rcl = Optional.ofNullable(value._2());
|
||||||
if (rcl.isPresent()) {
|
if (rcl.isPresent()) {
|
||||||
|
@ -123,12 +131,7 @@ public class SparkResultToCommunityFromOrganizationJob2 {
|
||||||
ret.mergeFrom(res);
|
ret.mergeFrom(res);
|
||||||
}
|
}
|
||||||
return ret;
|
return ret;
|
||||||
},
|
};
|
||||||
Encoders.bean(resultClazz))
|
|
||||||
.toJSON()
|
|
||||||
.write()
|
|
||||||
.mode(SaveMode.Overwrite)
|
|
||||||
.option("compression", "gzip")
|
|
||||||
.text(outputPath);
|
|
||||||
}
|
}
|
||||||
|
|
||||||
}
|
}
|
|
@ -8,29 +8,56 @@ import java.util.Arrays;
|
||||||
import java.util.List;
|
import java.util.List;
|
||||||
|
|
||||||
import org.apache.commons.io.IOUtils;
|
import org.apache.commons.io.IOUtils;
|
||||||
import org.apache.hadoop.io.compress.GzipCodec;
|
|
||||||
import org.apache.spark.SparkConf;
|
import org.apache.spark.SparkConf;
|
||||||
import org.apache.spark.api.java.JavaSparkContext;
|
import org.apache.spark.sql.*;
|
||||||
import org.apache.spark.sql.Dataset;
|
|
||||||
import org.apache.spark.sql.Encoders;
|
|
||||||
import org.apache.spark.sql.Row;
|
|
||||||
import org.apache.spark.sql.SparkSession;
|
|
||||||
import org.slf4j.Logger;
|
import org.slf4j.Logger;
|
||||||
import org.slf4j.LoggerFactory;
|
import org.slf4j.LoggerFactory;
|
||||||
|
|
||||||
import com.fasterxml.jackson.databind.ObjectMapper;
|
|
||||||
import com.google.gson.Gson;
|
import com.google.gson.Gson;
|
||||||
|
|
||||||
import eu.dnetlib.dhp.QueryInformationSystem;
|
|
||||||
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
|
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
|
||||||
import eu.dnetlib.dhp.resulttocommunityfromorganization.ResultCommunityList;
|
import eu.dnetlib.dhp.resulttocommunityfromorganization.ResultCommunityList;
|
||||||
import eu.dnetlib.dhp.schema.oaf.Relation;
|
import eu.dnetlib.dhp.schema.oaf.Relation;
|
||||||
import eu.dnetlib.dhp.schema.oaf.Result;
|
import eu.dnetlib.dhp.schema.oaf.Result;
|
||||||
|
import eu.dnetlib.dhp.utils.ISLookupClientFactory;
|
||||||
|
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpException;
|
||||||
|
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpService;
|
||||||
|
|
||||||
public class PrepareResultCommunitySetStep1 {
|
public class PrepareResultCommunitySetStep1 {
|
||||||
private static final Logger log = LoggerFactory.getLogger(PrepareResultCommunitySetStep1.class);
|
private static final Logger log = LoggerFactory.getLogger(PrepareResultCommunitySetStep1.class);
|
||||||
|
|
||||||
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
|
private static final String COMMUNITY_LIST_XQUERY = "for $x in collection('/db/DRIVER/ContextDSResources/ContextDSResourceType')"
|
||||||
|
+ " where $x//CONFIGURATION/context[./@type='community' or ./@type='ri']"
|
||||||
|
+ " and $x//CONFIGURATION/context/param[./@name='status']/text() != 'hidden'"
|
||||||
|
+ " return $x//CONFIGURATION/context/@id/string()";
|
||||||
|
|
||||||
|
/**
|
||||||
|
* associates to each result the set of community contexts they are associated to; associates to each target of a
|
||||||
|
* relation with allowed semantics the set of community context it could possibly inherit from the source of the
|
||||||
|
* relation
|
||||||
|
*/
|
||||||
|
// TODO
|
||||||
|
private static final String RESULT_CONTEXT_QUERY_TEMPLATE = "select target resultId, community_context "
|
||||||
|
+ "from (select id, collect_set(co.id) community_context "
|
||||||
|
+ " from result "
|
||||||
|
+ " lateral view explode (context) c as co "
|
||||||
|
+ " where datainfo.deletedbyinference = false %s group by id) p "
|
||||||
|
+ " JOIN "
|
||||||
|
+ " (select source, target from relation "
|
||||||
|
+ " where datainfo.deletedbyinference = false %s ) r ON p.id = r.source";
|
||||||
|
|
||||||
|
/**
|
||||||
|
* a dataset for example could be linked to more than one publication. For each publication linked to that dataset
|
||||||
|
* the previous query will produce a row: targetId set of community context the target could possibly inherit with
|
||||||
|
* the following query there will be a single row for each result linked to more than one result of the result type
|
||||||
|
* currently being used
|
||||||
|
*/
|
||||||
|
// TODO
|
||||||
|
private static final String RESULT_COMMUNITY_LIST_QUERY = "select resultId , collect_set(co) communityList "
|
||||||
|
+ "from result_context "
|
||||||
|
+ "lateral view explode (community_context) c as co "
|
||||||
|
+ "where length(co) > 0 "
|
||||||
|
+ "group by resultId";
|
||||||
|
|
||||||
public static void main(String[] args) throws Exception {
|
public static void main(String[] args) throws Exception {
|
||||||
String jsonConfiguration = IOUtils
|
String jsonConfiguration = IOUtils
|
||||||
|
@ -64,7 +91,7 @@ public class PrepareResultCommunitySetStep1 {
|
||||||
final String isLookupUrl = parser.get("isLookUpUrl");
|
final String isLookupUrl = parser.get("isLookUpUrl");
|
||||||
log.info("isLookupUrl: {}", isLookupUrl);
|
log.info("isLookupUrl: {}", isLookupUrl);
|
||||||
|
|
||||||
final List<String> communityIdList = QueryInformationSystem.getCommunityList(isLookupUrl);
|
final List<String> communityIdList = getCommunityList(isLookupUrl);
|
||||||
log.info("communityIdList: {}", new Gson().toJson(communityIdList));
|
log.info("communityIdList: {}", new Gson().toJson(communityIdList));
|
||||||
|
|
||||||
final String resultType = resultClassName.substring(resultClassName.lastIndexOf(".") + 1).toLowerCase();
|
final String resultType = resultClassName.substring(resultClassName.lastIndexOf(".") + 1).toLowerCase();
|
||||||
|
@ -98,78 +125,43 @@ public class PrepareResultCommunitySetStep1 {
|
||||||
Class<R> resultClazz,
|
Class<R> resultClazz,
|
||||||
String resultType,
|
String resultType,
|
||||||
List<String> communityIdList) {
|
List<String> communityIdList) {
|
||||||
// read the relation table and the table related to the result it is using
|
|
||||||
final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
|
final String inputResultPath = inputPath + "/" + resultType;
|
||||||
org.apache.spark.sql.Dataset<Relation> relation = spark
|
log.info("Reading Graph table from: {}", inputResultPath);
|
||||||
.createDataset(
|
|
||||||
sc
|
final String inputRelationPath = inputPath + "/relation";
|
||||||
.textFile(inputPath + "/relation")
|
log.info("Reading relation table from: {}", inputResultPath);
|
||||||
.map(item -> OBJECT_MAPPER.readValue(item, Relation.class))
|
|
||||||
.rdd(),
|
Dataset<Relation> relation = readPath(spark, inputRelationPath, Relation.class);
|
||||||
Encoders.bean(Relation.class));
|
|
||||||
relation.createOrReplaceTempView("relation");
|
relation.createOrReplaceTempView("relation");
|
||||||
|
|
||||||
log.info("Reading Graph table from: {}", inputPath + "/" + resultType);
|
Dataset<R> result = readPath(spark, inputResultPath, resultClazz);
|
||||||
Dataset<R> result = readPathEntity(spark, inputPath + "/" + resultType, resultClazz);
|
|
||||||
|
|
||||||
result.createOrReplaceTempView("result");
|
result.createOrReplaceTempView("result");
|
||||||
|
|
||||||
getPossibleResultcommunityAssociation(
|
final String outputResultPath = outputPath + "/" + resultType;
|
||||||
spark, allowedsemrel, outputPath + "/" + resultType, communityIdList);
|
log.info("writing output results to: {}", outputResultPath);
|
||||||
}
|
|
||||||
|
|
||||||
private static void getPossibleResultcommunityAssociation(
|
String resultContextQuery = String
|
||||||
SparkSession spark,
|
.format(
|
||||||
List<String> allowedsemrel,
|
RESULT_CONTEXT_QUERY_TEMPLATE,
|
||||||
String outputPath,
|
getConstraintList(" co.id = '", communityIdList),
|
||||||
List<String> communityIdList) {
|
getConstraintList(" relClass = '", allowedsemrel));
|
||||||
|
|
||||||
String communitylist = getConstraintList(" co.id = '", communityIdList);
|
Dataset<Row> result_context = spark.sql(resultContextQuery);
|
||||||
String semrellist = getConstraintList(" relClass = '", allowedsemrel);
|
|
||||||
|
|
||||||
/*
|
|
||||||
* associates to each result the set of community contexts they are associated to select id, collect_set(co.id)
|
|
||||||
* community_context " + " from result " + " lateral view explode (context) c as co " +
|
|
||||||
* " where datainfo.deletedbyinference = false "+ communitylist + " group by id associates to each target
|
|
||||||
* of a relation with allowed semantics the set of community context it could possibly inherit from the source
|
|
||||||
* of the relation
|
|
||||||
*/
|
|
||||||
String query = "Select target resultId, community_context "
|
|
||||||
+ "from (select id, collect_set(co.id) community_context "
|
|
||||||
+ " from result "
|
|
||||||
+ " lateral view explode (context) c as co "
|
|
||||||
+ " where datainfo.deletedbyinference = false "
|
|
||||||
+ communitylist
|
|
||||||
+ " group by id) p "
|
|
||||||
+ "JOIN "
|
|
||||||
+ "(select source, target "
|
|
||||||
+ "from relation "
|
|
||||||
+ "where datainfo.deletedbyinference = false "
|
|
||||||
+ semrellist
|
|
||||||
+ ") r "
|
|
||||||
+ "ON p.id = r.source";
|
|
||||||
|
|
||||||
org.apache.spark.sql.Dataset<Row> result_context = spark.sql(query);
|
|
||||||
result_context.createOrReplaceTempView("result_context");
|
result_context.createOrReplaceTempView("result_context");
|
||||||
|
|
||||||
// ( target, (mes, dh-ch-, ni))
|
|
||||||
/*
|
|
||||||
* a dataset for example could be linked to more than one publication. For each publication linked to that
|
|
||||||
* dataset the previous query will produce a row: targetId set of community context the target could possibly
|
|
||||||
* inherit with the following query there will be a single row for each result linked to more than one result of
|
|
||||||
* the result type currently being used
|
|
||||||
*/
|
|
||||||
query = "select resultId , collect_set(co) communityList "
|
|
||||||
+ "from result_context "
|
|
||||||
+ "lateral view explode (community_context) c as co "
|
|
||||||
+ "where length(co) > 0 "
|
|
||||||
+ "group by resultId";
|
|
||||||
|
|
||||||
spark
|
spark
|
||||||
.sql(query)
|
.sql(RESULT_COMMUNITY_LIST_QUERY)
|
||||||
.as(Encoders.bean(ResultCommunityList.class))
|
.as(Encoders.bean(ResultCommunityList.class))
|
||||||
.toJavaRDD()
|
.write()
|
||||||
.map(r -> OBJECT_MAPPER.writeValueAsString(r))
|
.option("compression", "gzip")
|
||||||
.saveAsTextFile(outputPath, GzipCodec.class);
|
.mode(SaveMode.Overwrite)
|
||||||
|
.json(outputResultPath);
|
||||||
}
|
}
|
||||||
|
|
||||||
|
public static List<String> getCommunityList(final String isLookupUrl) throws ISLookUpException {
|
||||||
|
ISLookUpService isLookUp = ISLookupClientFactory.getLookUpService(isLookupUrl);
|
||||||
|
return isLookUp.quickSearchProfile(COMMUNITY_LIST_XQUERY);
|
||||||
|
}
|
||||||
|
|
||||||
}
|
}
|
||||||
|
|
|
@ -62,11 +62,11 @@ public class PrepareResultCommunitySetStep2 {
|
||||||
|
|
||||||
private static void mergeInfo(SparkSession spark, String inputPath, String outputPath) {
|
private static void mergeInfo(SparkSession spark, String inputPath, String outputPath) {
|
||||||
|
|
||||||
Dataset<ResultCommunityList> resultOrcidAssocCommunityList = readResultCommunityList(
|
Dataset<ResultCommunityList> resultOrcidAssocCommunityList = readPath(
|
||||||
spark, inputPath + "/publication")
|
spark, inputPath + "/publication", ResultCommunityList.class)
|
||||||
.union(readResultCommunityList(spark, inputPath + "/dataset"))
|
.union(readPath(spark, inputPath + "/dataset", ResultCommunityList.class))
|
||||||
.union(readResultCommunityList(spark, inputPath + "/otherresearchproduct"))
|
.union(readPath(spark, inputPath + "/otherresearchproduct", ResultCommunityList.class))
|
||||||
.union(readResultCommunityList(spark, inputPath + "/software"));
|
.union(readPath(spark, inputPath + "/software", ResultCommunityList.class));
|
||||||
|
|
||||||
resultOrcidAssocCommunityList
|
resultOrcidAssocCommunityList
|
||||||
.toJavaRDD()
|
.toJavaRDD()
|
||||||
|
@ -80,9 +80,7 @@ public class PrepareResultCommunitySetStep2 {
|
||||||
return a;
|
return a;
|
||||||
}
|
}
|
||||||
Set<String> community_set = new HashSet<>();
|
Set<String> community_set = new HashSet<>();
|
||||||
|
|
||||||
a.getCommunityList().stream().forEach(aa -> community_set.add(aa));
|
a.getCommunityList().stream().forEach(aa -> community_set.add(aa));
|
||||||
|
|
||||||
b
|
b
|
||||||
.getCommunityList()
|
.getCommunityList()
|
||||||
.stream()
|
.stream()
|
||||||
|
@ -100,13 +98,4 @@ public class PrepareResultCommunitySetStep2 {
|
||||||
.saveAsTextFile(outputPath, GzipCodec.class);
|
.saveAsTextFile(outputPath, GzipCodec.class);
|
||||||
}
|
}
|
||||||
|
|
||||||
private static Dataset<ResultCommunityList> readResultCommunityList(
|
|
||||||
SparkSession spark, String relationPath) {
|
|
||||||
return spark
|
|
||||||
.read()
|
|
||||||
.textFile(relationPath)
|
|
||||||
.map(
|
|
||||||
value -> OBJECT_MAPPER.readValue(value, ResultCommunityList.class),
|
|
||||||
Encoders.bean(ResultCommunityList.class));
|
|
||||||
}
|
|
||||||
}
|
}
|
||||||
|
|
|
@ -9,30 +9,28 @@ import java.util.stream.Collectors;
|
||||||
|
|
||||||
import org.apache.commons.io.IOUtils;
|
import org.apache.commons.io.IOUtils;
|
||||||
import org.apache.spark.SparkConf;
|
import org.apache.spark.SparkConf;
|
||||||
|
import org.apache.spark.api.java.function.MapFunction;
|
||||||
|
import org.apache.spark.sql.Dataset;
|
||||||
import org.apache.spark.sql.Encoders;
|
import org.apache.spark.sql.Encoders;
|
||||||
import org.apache.spark.sql.SaveMode;
|
import org.apache.spark.sql.SaveMode;
|
||||||
import org.apache.spark.sql.SparkSession;
|
import org.apache.spark.sql.SparkSession;
|
||||||
import org.slf4j.Logger;
|
import org.slf4j.Logger;
|
||||||
import org.slf4j.LoggerFactory;
|
import org.slf4j.LoggerFactory;
|
||||||
|
|
||||||
import com.fasterxml.jackson.databind.ObjectMapper;
|
|
||||||
import com.ximpleware.extended.xpath.parser;
|
|
||||||
|
|
||||||
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
|
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
|
||||||
import eu.dnetlib.dhp.resulttocommunityfromorganization.ResultCommunityList;
|
import eu.dnetlib.dhp.resulttocommunityfromorganization.ResultCommunityList;
|
||||||
import eu.dnetlib.dhp.schema.oaf.*;
|
import eu.dnetlib.dhp.schema.oaf.*;
|
||||||
|
import scala.Tuple2;
|
||||||
|
|
||||||
public class SparkResultToCommunityThroughSemRelJob4 {
|
public class SparkResultToCommunityThroughSemRelJob {
|
||||||
|
|
||||||
private static final Logger log = LoggerFactory.getLogger(SparkResultToCommunityThroughSemRelJob4.class);
|
private static final Logger log = LoggerFactory.getLogger(SparkResultToCommunityThroughSemRelJob.class);
|
||||||
|
|
||||||
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
|
|
||||||
|
|
||||||
public static void main(String[] args) throws Exception {
|
public static void main(String[] args) throws Exception {
|
||||||
|
|
||||||
String jsonConfiguration = IOUtils
|
String jsonConfiguration = IOUtils
|
||||||
.toString(
|
.toString(
|
||||||
SparkResultToCommunityThroughSemRelJob4.class
|
SparkResultToCommunityThroughSemRelJob.class
|
||||||
.getResourceAsStream(
|
.getResourceAsStream(
|
||||||
"/eu/dnetlib/dhp/resulttocommunityfromsemrel/input_communitytoresult_parameters.json"));
|
"/eu/dnetlib/dhp/resulttocommunityfromsemrel/input_communitytoresult_parameters.json"));
|
||||||
|
|
||||||
|
@ -87,17 +85,23 @@ public class SparkResultToCommunityThroughSemRelJob4 {
|
||||||
String preparedInfoPath,
|
String preparedInfoPath,
|
||||||
Class<R> resultClazz) {
|
Class<R> resultClazz) {
|
||||||
|
|
||||||
org.apache.spark.sql.Dataset<ResultCommunityList> possibleUpdates = readResultCommunityList(
|
Dataset<ResultCommunityList> possibleUpdates = readPath(spark, preparedInfoPath, ResultCommunityList.class);
|
||||||
spark, preparedInfoPath);
|
Dataset<R> result = readPath(spark, inputPath, resultClazz);
|
||||||
org.apache.spark.sql.Dataset<R> result = readPathEntity(spark, inputPath, resultClazz);
|
|
||||||
|
|
||||||
result
|
result
|
||||||
.joinWith(
|
.joinWith(
|
||||||
possibleUpdates,
|
possibleUpdates,
|
||||||
result.col("id").equalTo(possibleUpdates.col("resultId")),
|
result.col("id").equalTo(possibleUpdates.col("resultId")),
|
||||||
"left_outer")
|
"left_outer")
|
||||||
.map(
|
.map(contextUpdaterFn(), Encoders.bean(resultClazz))
|
||||||
value -> {
|
.write()
|
||||||
|
.mode(SaveMode.Overwrite)
|
||||||
|
.option("compression", "gzip")
|
||||||
|
.json(outputPath);
|
||||||
|
}
|
||||||
|
|
||||||
|
private static <R extends Result> MapFunction<Tuple2<R, ResultCommunityList>, R> contextUpdaterFn() {
|
||||||
|
return (MapFunction<Tuple2<R, ResultCommunityList>, R>) value -> {
|
||||||
R ret = value._1();
|
R ret = value._1();
|
||||||
Optional<ResultCommunityList> rcl = Optional.ofNullable(value._2());
|
Optional<ResultCommunityList> rcl = Optional.ofNullable(value._2());
|
||||||
if (rcl.isPresent()) {
|
if (rcl.isPresent()) {
|
||||||
|
@ -124,7 +128,7 @@ public class SparkResultToCommunityThroughSemRelJob4 {
|
||||||
}
|
}
|
||||||
return null;
|
return null;
|
||||||
})
|
})
|
||||||
.filter(c -> c != null)
|
.filter(Objects::nonNull)
|
||||||
.collect(Collectors.toList());
|
.collect(Collectors.toList());
|
||||||
Result r = new Result();
|
Result r = new Result();
|
||||||
r.setId(ret.getId());
|
r.setId(ret.getId());
|
||||||
|
@ -133,12 +137,7 @@ public class SparkResultToCommunityThroughSemRelJob4 {
|
||||||
}
|
}
|
||||||
|
|
||||||
return ret;
|
return ret;
|
||||||
},
|
};
|
||||||
Encoders.bean(resultClazz))
|
|
||||||
.toJSON()
|
|
||||||
.write()
|
|
||||||
.mode(SaveMode.Overwrite)
|
|
||||||
.option("compression", "gzip")
|
|
||||||
.text(outputPath);
|
|
||||||
}
|
}
|
||||||
|
|
||||||
}
|
}
|
|
@ -7,7 +7,7 @@ import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkHiveSession;
|
||||||
import org.apache.commons.io.IOUtils;
|
import org.apache.commons.io.IOUtils;
|
||||||
import org.apache.hadoop.io.compress.GzipCodec;
|
import org.apache.hadoop.io.compress.GzipCodec;
|
||||||
import org.apache.spark.SparkConf;
|
import org.apache.spark.SparkConf;
|
||||||
import org.apache.spark.api.java.JavaSparkContext;
|
import org.apache.spark.sql.Dataset;
|
||||||
import org.apache.spark.sql.Encoders;
|
import org.apache.spark.sql.Encoders;
|
||||||
import org.apache.spark.sql.SaveMode;
|
import org.apache.spark.sql.SaveMode;
|
||||||
import org.apache.spark.sql.SparkSession;
|
import org.apache.spark.sql.SparkSession;
|
||||||
|
@ -58,8 +58,7 @@ public class PrepareResultInstRepoAssociation {
|
||||||
isSparkSessionManaged,
|
isSparkSessionManaged,
|
||||||
spark -> {
|
spark -> {
|
||||||
readNeededResources(spark, inputPath);
|
readNeededResources(spark, inputPath);
|
||||||
prepareDatasourceOrganizationAssociations(
|
prepareDatasourceOrganization(spark, datasourceOrganizationPath);
|
||||||
spark, datasourceOrganizationPath, alreadyLinkedPath);
|
|
||||||
prepareAlreadyLinkedAssociation(spark, alreadyLinkedPath);
|
prepareAlreadyLinkedAssociation(spark, alreadyLinkedPath);
|
||||||
});
|
});
|
||||||
}
|
}
|
||||||
|
@ -77,45 +76,25 @@ public class PrepareResultInstRepoAssociation {
|
||||||
spark
|
spark
|
||||||
.sql(query)
|
.sql(query)
|
||||||
.as(Encoders.bean(ResultOrganizationSet.class))
|
.as(Encoders.bean(ResultOrganizationSet.class))
|
||||||
|
// TODO retry to stick with datasets
|
||||||
.toJavaRDD()
|
.toJavaRDD()
|
||||||
.map(r -> OBJECT_MAPPER.writeValueAsString(r))
|
.map(r -> OBJECT_MAPPER.writeValueAsString(r))
|
||||||
.saveAsTextFile(alreadyLinkedPath, GzipCodec.class);
|
.saveAsTextFile(alreadyLinkedPath, GzipCodec.class);
|
||||||
}
|
}
|
||||||
|
|
||||||
private static void readNeededResources(SparkSession spark, String inputPath) {
|
private static void readNeededResources(SparkSession spark, String inputPath) {
|
||||||
final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
|
Dataset<Datasource> datasource = readPath(spark, inputPath + "/datasource", Datasource.class);
|
||||||
|
|
||||||
org.apache.spark.sql.Dataset<Datasource> datasource = spark
|
|
||||||
.createDataset(
|
|
||||||
sc
|
|
||||||
.textFile(inputPath + "/datasource")
|
|
||||||
.map(item -> new ObjectMapper().readValue(item, Datasource.class))
|
|
||||||
.rdd(),
|
|
||||||
Encoders.bean(Datasource.class));
|
|
||||||
|
|
||||||
org.apache.spark.sql.Dataset<Relation> relation = spark
|
|
||||||
.createDataset(
|
|
||||||
sc
|
|
||||||
.textFile(inputPath + "/relation")
|
|
||||||
.map(item -> new ObjectMapper().readValue(item, Relation.class))
|
|
||||||
.rdd(),
|
|
||||||
Encoders.bean(Relation.class));
|
|
||||||
|
|
||||||
org.apache.spark.sql.Dataset<Organization> organization = spark
|
|
||||||
.createDataset(
|
|
||||||
sc
|
|
||||||
.textFile(inputPath + "/organization")
|
|
||||||
.map(item -> new ObjectMapper().readValue(item, Organization.class))
|
|
||||||
.rdd(),
|
|
||||||
Encoders.bean(Organization.class));
|
|
||||||
|
|
||||||
datasource.createOrReplaceTempView("datasource");
|
datasource.createOrReplaceTempView("datasource");
|
||||||
|
|
||||||
|
Dataset<Relation> relation = readPath(spark, inputPath + "/relation", Relation.class);
|
||||||
relation.createOrReplaceTempView("relation");
|
relation.createOrReplaceTempView("relation");
|
||||||
|
|
||||||
|
Dataset<Organization> organization = readPath(spark, inputPath + "/organization", Organization.class);
|
||||||
organization.createOrReplaceTempView("organization");
|
organization.createOrReplaceTempView("organization");
|
||||||
}
|
}
|
||||||
|
|
||||||
private static void prepareDatasourceOrganizationAssociations(
|
private static void prepareDatasourceOrganization(
|
||||||
SparkSession spark, String datasourceOrganizationPath, String alreadyLinkedPath) {
|
SparkSession spark, String datasourceOrganizationPath) {
|
||||||
|
|
||||||
String query = "SELECT source datasourceId, target organizationId "
|
String query = "SELECT source datasourceId, target organizationId "
|
||||||
+ "FROM ( SELECT id "
|
+ "FROM ( SELECT id "
|
||||||
|
@ -135,10 +114,9 @@ public class PrepareResultInstRepoAssociation {
|
||||||
spark
|
spark
|
||||||
.sql(query)
|
.sql(query)
|
||||||
.as(Encoders.bean(DatasourceOrganization.class))
|
.as(Encoders.bean(DatasourceOrganization.class))
|
||||||
.toJSON()
|
|
||||||
.write()
|
.write()
|
||||||
.mode(SaveMode.Overwrite)
|
.mode(SaveMode.Overwrite)
|
||||||
.option("compression", "gzip")
|
.option("compression", "gzip")
|
||||||
.text(datasourceOrganizationPath);
|
.json(datasourceOrganizationPath);
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
|
@ -0,0 +1,193 @@
|
||||||
|
|
||||||
|
package eu.dnetlib.dhp.resulttoorganizationfrominstrepo;
|
||||||
|
|
||||||
|
import static eu.dnetlib.dhp.PropagationConstant.*;
|
||||||
|
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkHiveSession;
|
||||||
|
|
||||||
|
import java.util.*;
|
||||||
|
|
||||||
|
import org.apache.commons.io.IOUtils;
|
||||||
|
import org.apache.spark.SparkConf;
|
||||||
|
import org.apache.spark.api.java.JavaSparkContext;
|
||||||
|
import org.apache.spark.api.java.function.FlatMapFunction;
|
||||||
|
import org.apache.spark.broadcast.Broadcast;
|
||||||
|
import org.apache.spark.sql.*;
|
||||||
|
import org.apache.spark.sql.Dataset;
|
||||||
|
import org.slf4j.Logger;
|
||||||
|
import org.slf4j.LoggerFactory;
|
||||||
|
|
||||||
|
import com.fasterxml.jackson.databind.ObjectMapper;
|
||||||
|
|
||||||
|
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
|
||||||
|
import eu.dnetlib.dhp.schema.oaf.*;
|
||||||
|
import scala.Tuple2;
|
||||||
|
|
||||||
|
public class SparkResultToOrganizationFromIstRepoJob {
|
||||||
|
|
||||||
|
private static final Logger log = LoggerFactory.getLogger(SparkResultToOrganizationFromIstRepoJob.class);
|
||||||
|
|
||||||
|
private static final String RESULT_ORGANIZATIONSET_QUERY = "SELECT id resultId, collect_set(organizationId) organizationSet "
|
||||||
|
+ "FROM ( SELECT id, organizationId "
|
||||||
|
+ "FROM rels "
|
||||||
|
+ "JOIN cfhb "
|
||||||
|
+ " ON cf = datasourceId "
|
||||||
|
+ "UNION ALL "
|
||||||
|
+ "SELECT id , organizationId "
|
||||||
|
+ "FROM rels "
|
||||||
|
+ "JOIN cfhb "
|
||||||
|
+ " ON hb = datasourceId ) tmp "
|
||||||
|
+ "GROUP BY id";
|
||||||
|
|
||||||
|
public static void main(String[] args) throws Exception {
|
||||||
|
|
||||||
|
String jsonConfiguration = IOUtils
|
||||||
|
.toString(
|
||||||
|
SparkResultToOrganizationFromIstRepoJob.class
|
||||||
|
.getResourceAsStream(
|
||||||
|
"/eu/dnetlib/dhp/resulttoorganizationfrominstrepo/input_propagationresulaffiliationfrominstrepo_parameters.json"));
|
||||||
|
|
||||||
|
final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
|
||||||
|
|
||||||
|
parser.parseArgument(args);
|
||||||
|
|
||||||
|
Boolean isSparkSessionManaged = isSparkSessionManaged(parser);
|
||||||
|
log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
|
||||||
|
|
||||||
|
String inputPath = parser.get("sourcePath");
|
||||||
|
log.info("inputPath: {}", inputPath);
|
||||||
|
|
||||||
|
final String outputPath = parser.get("outputPath");
|
||||||
|
log.info("outputPath: {}", outputPath);
|
||||||
|
|
||||||
|
final String datasourceorganization = parser.get("datasourceOrganizationPath");
|
||||||
|
log.info("datasourceOrganizationPath: {}", datasourceorganization);
|
||||||
|
|
||||||
|
final String alreadylinked = parser.get("alreadyLinkedPath");
|
||||||
|
log.info("alreadyLinkedPath: {}", alreadylinked);
|
||||||
|
|
||||||
|
final String resultClassName = parser.get("resultTableName");
|
||||||
|
log.info("resultTableName: {}", resultClassName);
|
||||||
|
|
||||||
|
final Boolean saveGraph = Optional
|
||||||
|
.ofNullable(parser.get("saveGraph"))
|
||||||
|
.map(Boolean::valueOf)
|
||||||
|
.orElse(Boolean.TRUE);
|
||||||
|
log.info("saveGraph: {}", saveGraph);
|
||||||
|
|
||||||
|
Class<? extends Result> resultClazz = (Class<? extends Result>) Class.forName(resultClassName);
|
||||||
|
|
||||||
|
SparkConf conf = new SparkConf();
|
||||||
|
conf.set("hive.metastore.uris", parser.get("hive_metastore_uris"));
|
||||||
|
|
||||||
|
runWithSparkHiveSession(
|
||||||
|
conf,
|
||||||
|
isSparkSessionManaged,
|
||||||
|
spark -> {
|
||||||
|
if (isTest(parser)) {
|
||||||
|
removeOutputDir(spark, outputPath);
|
||||||
|
}
|
||||||
|
if (saveGraph)
|
||||||
|
execPropagation(
|
||||||
|
spark,
|
||||||
|
datasourceorganization,
|
||||||
|
alreadylinked,
|
||||||
|
inputPath,
|
||||||
|
outputPath,
|
||||||
|
resultClazz);
|
||||||
|
});
|
||||||
|
}
|
||||||
|
|
||||||
|
private static void execPropagation(
|
||||||
|
SparkSession spark,
|
||||||
|
String datasourceorganization,
|
||||||
|
String alreadyLinkedPath,
|
||||||
|
String inputPath,
|
||||||
|
String outputPath,
|
||||||
|
Class<? extends Result> clazz) {
|
||||||
|
|
||||||
|
Dataset<DatasourceOrganization> ds_org = readPath(spark, datasourceorganization, DatasourceOrganization.class);
|
||||||
|
|
||||||
|
Dataset<ResultOrganizationSet> potentialUpdates = getPotentialRelations(spark, inputPath, clazz, ds_org);
|
||||||
|
|
||||||
|
Dataset<ResultOrganizationSet> alreadyLinked = readPath(spark, alreadyLinkedPath, ResultOrganizationSet.class);
|
||||||
|
|
||||||
|
potentialUpdates
|
||||||
|
.joinWith(
|
||||||
|
alreadyLinked,
|
||||||
|
potentialUpdates.col("resultId").equalTo(alreadyLinked.col("resultId")),
|
||||||
|
"left_outer")
|
||||||
|
.flatMap(createRelationFn(), Encoders.bean(Relation.class))
|
||||||
|
.write()
|
||||||
|
.mode(SaveMode.Append)
|
||||||
|
.option("compression", "gzip")
|
||||||
|
.json(outputPath);
|
||||||
|
}
|
||||||
|
|
||||||
|
private static FlatMapFunction<Tuple2<ResultOrganizationSet, ResultOrganizationSet>, Relation> createRelationFn() {
|
||||||
|
return (FlatMapFunction<Tuple2<ResultOrganizationSet, ResultOrganizationSet>, Relation>) value -> {
|
||||||
|
List<Relation> new_relations = new ArrayList<>();
|
||||||
|
ResultOrganizationSet potential_update = value._1();
|
||||||
|
Optional<ResultOrganizationSet> already_linked = Optional.ofNullable(value._2());
|
||||||
|
List<String> organization_list = potential_update.getOrganizationSet();
|
||||||
|
if (already_linked.isPresent()) {
|
||||||
|
already_linked
|
||||||
|
.get()
|
||||||
|
.getOrganizationSet()
|
||||||
|
.stream()
|
||||||
|
.forEach(
|
||||||
|
rId -> {
|
||||||
|
if (organization_list.contains(rId)) {
|
||||||
|
organization_list.remove(rId);
|
||||||
|
}
|
||||||
|
});
|
||||||
|
}
|
||||||
|
String resultId = potential_update.getResultId();
|
||||||
|
organization_list
|
||||||
|
.stream()
|
||||||
|
.forEach(
|
||||||
|
orgId -> {
|
||||||
|
new_relations
|
||||||
|
.add(
|
||||||
|
getRelation(
|
||||||
|
orgId,
|
||||||
|
resultId,
|
||||||
|
RELATION_ORGANIZATION_RESULT_REL_CLASS,
|
||||||
|
RELATION_RESULTORGANIZATION_REL_TYPE,
|
||||||
|
RELATION_RESULTORGANIZATION_SUBREL_TYPE,
|
||||||
|
PROPAGATION_DATA_INFO_TYPE,
|
||||||
|
PROPAGATION_RELATION_RESULT_ORGANIZATION_INST_REPO_CLASS_ID,
|
||||||
|
PROPAGATION_RELATION_RESULT_ORGANIZATION_INST_REPO_CLASS_NAME));
|
||||||
|
new_relations
|
||||||
|
.add(
|
||||||
|
getRelation(
|
||||||
|
resultId,
|
||||||
|
orgId,
|
||||||
|
RELATION_RESULT_ORGANIZATION_REL_CLASS,
|
||||||
|
RELATION_RESULTORGANIZATION_REL_TYPE,
|
||||||
|
RELATION_RESULTORGANIZATION_SUBREL_TYPE,
|
||||||
|
PROPAGATION_DATA_INFO_TYPE,
|
||||||
|
PROPAGATION_RELATION_RESULT_ORGANIZATION_INST_REPO_CLASS_ID,
|
||||||
|
PROPAGATION_RELATION_RESULT_ORGANIZATION_INST_REPO_CLASS_NAME));
|
||||||
|
});
|
||||||
|
return new_relations.iterator();
|
||||||
|
};
|
||||||
|
}
|
||||||
|
|
||||||
|
private static <R extends Result> Dataset<ResultOrganizationSet> getPotentialRelations(
|
||||||
|
SparkSession spark,
|
||||||
|
String inputPath,
|
||||||
|
Class<R> resultClazz,
|
||||||
|
Dataset<DatasourceOrganization> ds_org) {
|
||||||
|
|
||||||
|
Dataset<R> result = readPath(spark, inputPath, resultClazz);
|
||||||
|
result.createOrReplaceTempView("result");
|
||||||
|
createCfHbforResult(spark);
|
||||||
|
|
||||||
|
ds_org.createOrReplaceTempView("rels");
|
||||||
|
|
||||||
|
return spark
|
||||||
|
.sql(RESULT_ORGANIZATIONSET_QUERY)
|
||||||
|
.as(Encoders.bean(ResultOrganizationSet.class));
|
||||||
|
}
|
||||||
|
|
||||||
|
}
|
|
@ -1,232 +0,0 @@
|
||||||
|
|
||||||
package eu.dnetlib.dhp.resulttoorganizationfrominstrepo;
|
|
||||||
|
|
||||||
import static eu.dnetlib.dhp.PropagationConstant.*;
|
|
||||||
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkHiveSession;
|
|
||||||
|
|
||||||
import java.util.*;
|
|
||||||
|
|
||||||
import org.apache.commons.io.IOUtils;
|
|
||||||
import org.apache.spark.SparkConf;
|
|
||||||
import org.apache.spark.api.java.JavaSparkContext;
|
|
||||||
import org.apache.spark.api.java.function.FlatMapFunction;
|
|
||||||
import org.apache.spark.broadcast.Broadcast;
|
|
||||||
import org.apache.spark.sql.*;
|
|
||||||
import org.apache.spark.sql.Dataset;
|
|
||||||
import org.slf4j.Logger;
|
|
||||||
import org.slf4j.LoggerFactory;
|
|
||||||
|
|
||||||
import com.fasterxml.jackson.databind.ObjectMapper;
|
|
||||||
|
|
||||||
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
|
|
||||||
import eu.dnetlib.dhp.schema.oaf.*;
|
|
||||||
import scala.Tuple2;
|
|
||||||
|
|
||||||
public class SparkResultToOrganizationFromIstRepoJob2 {
|
|
||||||
|
|
||||||
private static final Logger log = LoggerFactory.getLogger(SparkResultToOrganizationFromIstRepoJob2.class);
|
|
||||||
|
|
||||||
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
|
|
||||||
|
|
||||||
public static void main(String[] args) throws Exception {
|
|
||||||
|
|
||||||
String jsonConfiguration = IOUtils
|
|
||||||
.toString(
|
|
||||||
SparkResultToOrganizationFromIstRepoJob2.class
|
|
||||||
.getResourceAsStream(
|
|
||||||
"/eu/dnetlib/dhp/resulttoorganizationfrominstrepo/input_propagationresulaffiliationfrominstrepo_parameters.json"));
|
|
||||||
|
|
||||||
final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
|
|
||||||
|
|
||||||
parser.parseArgument(args);
|
|
||||||
|
|
||||||
Boolean isSparkSessionManaged = isSparkSessionManaged(parser);
|
|
||||||
log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
|
|
||||||
|
|
||||||
String inputPath = parser.get("sourcePath");
|
|
||||||
log.info("inputPath: {}", inputPath);
|
|
||||||
|
|
||||||
final String outputPath = parser.get("outputPath");
|
|
||||||
log.info("outputPath: {}", outputPath);
|
|
||||||
|
|
||||||
final String datasourceorganization = parser.get("datasourceOrganizationPath");
|
|
||||||
log.info("datasourceOrganizationPath: {}", datasourceorganization);
|
|
||||||
|
|
||||||
final String alreadylinked = parser.get("alreadyLinkedPath");
|
|
||||||
log.info("alreadyLinkedPath: {}", alreadylinked);
|
|
||||||
|
|
||||||
final String resultClassName = parser.get("resultTableName");
|
|
||||||
log.info("resultTableName: {}", resultClassName);
|
|
||||||
|
|
||||||
final Boolean saveGraph = Optional
|
|
||||||
.ofNullable(parser.get("saveGraph"))
|
|
||||||
.map(Boolean::valueOf)
|
|
||||||
.orElse(Boolean.TRUE);
|
|
||||||
log.info("saveGraph: {}", saveGraph);
|
|
||||||
|
|
||||||
Class<? extends Result> resultClazz = (Class<? extends Result>) Class.forName(resultClassName);
|
|
||||||
|
|
||||||
SparkConf conf = new SparkConf();
|
|
||||||
conf.set("hive.metastore.uris", parser.get("hive_metastore_uris"));
|
|
||||||
|
|
||||||
runWithSparkHiveSession(
|
|
||||||
conf,
|
|
||||||
isSparkSessionManaged,
|
|
||||||
spark -> {
|
|
||||||
if (isTest(parser)) {
|
|
||||||
removeOutputDir(spark, outputPath);
|
|
||||||
}
|
|
||||||
if (saveGraph)
|
|
||||||
execPropagation(
|
|
||||||
spark,
|
|
||||||
datasourceorganization,
|
|
||||||
alreadylinked,
|
|
||||||
inputPath,
|
|
||||||
outputPath,
|
|
||||||
resultClazz);
|
|
||||||
});
|
|
||||||
}
|
|
||||||
|
|
||||||
private static void execPropagation(
|
|
||||||
SparkSession spark,
|
|
||||||
String datasourceorganization,
|
|
||||||
String alreadylinked,
|
|
||||||
String inputPath,
|
|
||||||
String outputPath,
|
|
||||||
Class<? extends Result> resultClazz) {
|
|
||||||
final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
|
|
||||||
|
|
||||||
org.apache.spark.sql.Dataset<DatasourceOrganization> datasourceorganizationassoc = readAssocDatasourceOrganization(
|
|
||||||
spark, datasourceorganization);
|
|
||||||
|
|
||||||
// broadcasting the result of the preparation step
|
|
||||||
Broadcast<org.apache.spark.sql.Dataset<DatasourceOrganization>> broadcast_datasourceorganizationassoc = sc
|
|
||||||
.broadcast(datasourceorganizationassoc);
|
|
||||||
|
|
||||||
org.apache.spark.sql.Dataset<ResultOrganizationSet> potentialUpdates = getPotentialRelations(
|
|
||||||
spark,
|
|
||||||
inputPath,
|
|
||||||
resultClazz,
|
|
||||||
broadcast_datasourceorganizationassoc)
|
|
||||||
.as(Encoders.bean(ResultOrganizationSet.class));
|
|
||||||
|
|
||||||
getNewRelations(
|
|
||||||
spark
|
|
||||||
.read()
|
|
||||||
.textFile(alreadylinked)
|
|
||||||
.map(
|
|
||||||
value -> OBJECT_MAPPER
|
|
||||||
.readValue(
|
|
||||||
value, ResultOrganizationSet.class),
|
|
||||||
Encoders.bean(ResultOrganizationSet.class)),
|
|
||||||
potentialUpdates)
|
|
||||||
.toJSON()
|
|
||||||
.write()
|
|
||||||
.mode(SaveMode.Append)
|
|
||||||
.option("compression", "gzip")
|
|
||||||
.text(outputPath);
|
|
||||||
|
|
||||||
}
|
|
||||||
|
|
||||||
private static Dataset<Relation> getNewRelations(
|
|
||||||
Dataset<ResultOrganizationSet> alreadyLinked,
|
|
||||||
Dataset<ResultOrganizationSet> potentialUpdates) {
|
|
||||||
|
|
||||||
return potentialUpdates
|
|
||||||
.joinWith(
|
|
||||||
alreadyLinked,
|
|
||||||
potentialUpdates.col("resultId").equalTo(alreadyLinked.col("resultId")),
|
|
||||||
"left_outer")
|
|
||||||
.flatMap(
|
|
||||||
(FlatMapFunction<Tuple2<ResultOrganizationSet, ResultOrganizationSet>, Relation>) value -> {
|
|
||||||
List<Relation> new_relations = new ArrayList<>();
|
|
||||||
ResultOrganizationSet potential_update = value._1();
|
|
||||||
Optional<ResultOrganizationSet> already_linked = Optional.ofNullable(value._2());
|
|
||||||
List<String> organization_list = potential_update.getOrganizationSet();
|
|
||||||
if (already_linked.isPresent()) {
|
|
||||||
already_linked
|
|
||||||
.get()
|
|
||||||
.getOrganizationSet()
|
|
||||||
.stream()
|
|
||||||
.forEach(
|
|
||||||
rId -> {
|
|
||||||
if (organization_list.contains(rId)) {
|
|
||||||
organization_list.remove(rId);
|
|
||||||
}
|
|
||||||
});
|
|
||||||
}
|
|
||||||
String resultId = potential_update.getResultId();
|
|
||||||
organization_list
|
|
||||||
.stream()
|
|
||||||
.forEach(
|
|
||||||
orgId -> {
|
|
||||||
new_relations
|
|
||||||
.add(
|
|
||||||
getRelation(
|
|
||||||
orgId,
|
|
||||||
resultId,
|
|
||||||
RELATION_ORGANIZATION_RESULT_REL_CLASS,
|
|
||||||
RELATION_RESULTORGANIZATION_REL_TYPE,
|
|
||||||
RELATION_RESULTORGANIZATION_SUBREL_TYPE,
|
|
||||||
PROPAGATION_DATA_INFO_TYPE,
|
|
||||||
PROPAGATION_RELATION_RESULT_ORGANIZATION_INST_REPO_CLASS_ID,
|
|
||||||
PROPAGATION_RELATION_RESULT_ORGANIZATION_INST_REPO_CLASS_NAME));
|
|
||||||
new_relations
|
|
||||||
.add(
|
|
||||||
getRelation(
|
|
||||||
resultId,
|
|
||||||
orgId,
|
|
||||||
RELATION_RESULT_ORGANIZATION_REL_CLASS,
|
|
||||||
RELATION_RESULTORGANIZATION_REL_TYPE,
|
|
||||||
RELATION_RESULTORGANIZATION_SUBREL_TYPE,
|
|
||||||
PROPAGATION_DATA_INFO_TYPE,
|
|
||||||
PROPAGATION_RELATION_RESULT_ORGANIZATION_INST_REPO_CLASS_ID,
|
|
||||||
PROPAGATION_RELATION_RESULT_ORGANIZATION_INST_REPO_CLASS_NAME));
|
|
||||||
});
|
|
||||||
return new_relations.iterator();
|
|
||||||
},
|
|
||||||
Encoders.bean(Relation.class));
|
|
||||||
}
|
|
||||||
|
|
||||||
private static <R extends Result> org.apache.spark.sql.Dataset<ResultOrganizationSet> getPotentialRelations(
|
|
||||||
SparkSession spark,
|
|
||||||
String inputPath,
|
|
||||||
Class<R> resultClazz,
|
|
||||||
Broadcast<org.apache.spark.sql.Dataset<DatasourceOrganization>> broadcast_datasourceorganizationassoc) {
|
|
||||||
org.apache.spark.sql.Dataset<R> result = readPathEntity(spark, inputPath, resultClazz);
|
|
||||||
result.createOrReplaceTempView("result");
|
|
||||||
createCfHbforresult(spark);
|
|
||||||
|
|
||||||
return organizationPropagationAssoc(spark, broadcast_datasourceorganizationassoc);
|
|
||||||
}
|
|
||||||
|
|
||||||
private static org.apache.spark.sql.Dataset<DatasourceOrganization> readAssocDatasourceOrganization(
|
|
||||||
SparkSession spark, String datasourcecountryorganization) {
|
|
||||||
return spark
|
|
||||||
.read()
|
|
||||||
.textFile(datasourcecountryorganization)
|
|
||||||
.map(
|
|
||||||
value -> OBJECT_MAPPER.readValue(value, DatasourceOrganization.class),
|
|
||||||
Encoders.bean(DatasourceOrganization.class));
|
|
||||||
}
|
|
||||||
|
|
||||||
private static org.apache.spark.sql.Dataset<ResultOrganizationSet> organizationPropagationAssoc(
|
|
||||||
SparkSession spark,
|
|
||||||
Broadcast<org.apache.spark.sql.Dataset<DatasourceOrganization>> broadcast_datasourceorganizationassoc) {
|
|
||||||
org.apache.spark.sql.Dataset<DatasourceOrganization> datasourceorganization = broadcast_datasourceorganizationassoc
|
|
||||||
.value();
|
|
||||||
datasourceorganization.createOrReplaceTempView("rels");
|
|
||||||
String query = "SELECT id resultId, collect_set(organizationId) organizationSet "
|
|
||||||
+ "FROM ( SELECT id, organizationId "
|
|
||||||
+ "FROM rels "
|
|
||||||
+ "JOIN cfhb "
|
|
||||||
+ " ON cf = datasourceId "
|
|
||||||
+ "UNION ALL "
|
|
||||||
+ "SELECT id , organizationId "
|
|
||||||
+ "FROM rels "
|
|
||||||
+ "JOIN cfhb "
|
|
||||||
+ " ON hb = datasourceId ) tmp "
|
|
||||||
+ "GROUP BY id";
|
|
||||||
return spark.sql(query).as(Encoders.bean(ResultOrganizationSet.class));
|
|
||||||
}
|
|
||||||
}
|
|
|
@ -5,6 +5,12 @@
|
||||||
"paramDescription": "the path of the sequencial file to read",
|
"paramDescription": "the path of the sequencial file to read",
|
||||||
"paramRequired": true
|
"paramRequired": true
|
||||||
},
|
},
|
||||||
|
{
|
||||||
|
"paramName":"out",
|
||||||
|
"paramLongName":"outputPath",
|
||||||
|
"paramDescription": "the output path",
|
||||||
|
"paramRequired": true
|
||||||
|
},
|
||||||
{
|
{
|
||||||
"paramName":"h",
|
"paramName":"h",
|
||||||
"paramLongName":"hive_metastore_uris",
|
"paramLongName":"hive_metastore_uris",
|
||||||
|
|
|
@ -19,27 +19,22 @@
|
||||||
|
|
||||||
</parameters>
|
</parameters>
|
||||||
|
|
||||||
<start to="reset-outputpath"/>
|
<start to="reset_outputpath"/>
|
||||||
|
|
||||||
<kill name="Kill">
|
<kill name="Kill">
|
||||||
<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
|
<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
|
||||||
</kill>
|
</kill>
|
||||||
|
|
||||||
<action name="reset-outputpath">
|
<action name="reset_outputpath">
|
||||||
<fs>
|
<fs>
|
||||||
<delete path='${workingDir}/preparedInfo'/>
|
<delete path="${outputPath}/relation"/>
|
||||||
<delete path='${workingDir}/publication'/>
|
<delete path="${outputPath}/dataset"/>
|
||||||
<delete path='${workingDir}/dataset'/>
|
<delete path="${outputPath}/software"/>
|
||||||
<delete path='${workingDir}/otherresearchproduct'/>
|
<delete path="${outputPath}/publication"/>
|
||||||
<delete path='${workingDir}/software'/>
|
<delete path="${outputPath}/otherresearchproduct"/>
|
||||||
<delete path='${outputPath}/relation'/>
|
<delete path="${outputPath}/project"/>
|
||||||
<delete path='${outputPath}/dataset'/>
|
<delete path="${outputPath}/organization"/>
|
||||||
<delete path='${outputPath}/software'/>
|
<delete path="${outputPath}/datasource"/>
|
||||||
<delete path='${outputPath}/publication'/>
|
|
||||||
<delete path='${outputPath}/otherresearchproduct'/>
|
|
||||||
<delete path='${outputPath}/project'/>
|
|
||||||
<delete path='${outputPath}/organization'/>
|
|
||||||
<delete path='${outputPath}/datasource'/>
|
|
||||||
</fs>
|
</fs>
|
||||||
<ok to="copy_entities"/>
|
<ok to="copy_entities"/>
|
||||||
<error to="Kill"/>
|
<error to="Kill"/>
|
||||||
|
@ -50,11 +45,8 @@
|
||||||
<path start="copy_organization"/>
|
<path start="copy_organization"/>
|
||||||
<path start="copy_projects"/>
|
<path start="copy_projects"/>
|
||||||
<path start="copy_datasources"/>
|
<path start="copy_datasources"/>
|
||||||
<path start="copy_publication"/>
|
|
||||||
<path start="copy_dataset"/>
|
|
||||||
<path start="copy_orp"/>
|
|
||||||
<path start="copy_software"/>
|
|
||||||
</fork>
|
</fork>
|
||||||
|
|
||||||
<action name="copy_relation">
|
<action name="copy_relation">
|
||||||
<distcp xmlns="uri:oozie:distcp-action:0.2">
|
<distcp xmlns="uri:oozie:distcp-action:0.2">
|
||||||
<job-tracker>${jobTracker}</job-tracker>
|
<job-tracker>${jobTracker}</job-tracker>
|
||||||
|
@ -98,50 +90,6 @@
|
||||||
<error to="Kill"/>
|
<error to="Kill"/>
|
||||||
</action>
|
</action>
|
||||||
|
|
||||||
<action name="copy_publication">
|
|
||||||
<distcp xmlns="uri:oozie:distcp-action:0.2">
|
|
||||||
<job-tracker>${jobTracker}</job-tracker>
|
|
||||||
<name-node>${nameNode}</name-node>
|
|
||||||
<arg>${nameNode}/${sourcePath}/publication</arg>
|
|
||||||
<arg>${nameNode}/${workingDir}/publication</arg>
|
|
||||||
</distcp>
|
|
||||||
<ok to="copy_wait"/>
|
|
||||||
<error to="Kill"/>
|
|
||||||
</action>
|
|
||||||
|
|
||||||
<action name="copy_dataset">
|
|
||||||
<distcp xmlns="uri:oozie:distcp-action:0.2">
|
|
||||||
<job-tracker>${jobTracker}</job-tracker>
|
|
||||||
<name-node>${nameNode}</name-node>
|
|
||||||
<arg>${nameNode}/${sourcePath}/dataset</arg>
|
|
||||||
<arg>${nameNode}/${workingDir}/dataset</arg>
|
|
||||||
</distcp>
|
|
||||||
<ok to="copy_wait"/>
|
|
||||||
<error to="Kill"/>
|
|
||||||
</action>
|
|
||||||
|
|
||||||
<action name="copy_orp">
|
|
||||||
<distcp xmlns="uri:oozie:distcp-action:0.2">
|
|
||||||
<job-tracker>${jobTracker}</job-tracker>
|
|
||||||
<name-node>${nameNode}</name-node>
|
|
||||||
<arg>${nameNode}/${sourcePath}/otherresearchproduct</arg>
|
|
||||||
<arg>${nameNode}/${workingDir}/otherresearchproduct</arg>
|
|
||||||
</distcp>
|
|
||||||
<ok to="copy_wait"/>
|
|
||||||
<error to="Kill"/>
|
|
||||||
</action>
|
|
||||||
|
|
||||||
<action name="copy_software">
|
|
||||||
<distcp xmlns="uri:oozie:distcp-action:0.2">
|
|
||||||
<job-tracker>${jobTracker}</job-tracker>
|
|
||||||
<name-node>${nameNode}</name-node>
|
|
||||||
<arg>${nameNode}/${sourcePath}/software</arg>
|
|
||||||
<arg>${nameNode}/${workingDir}/software</arg>
|
|
||||||
</distcp>
|
|
||||||
<ok to="copy_wait"/>
|
|
||||||
<error to="Kill"/>
|
|
||||||
</action>
|
|
||||||
|
|
||||||
<join name="copy_wait" to="prepare_datasource_country_association"/>
|
<join name="copy_wait" to="prepare_datasource_country_association"/>
|
||||||
|
|
||||||
<action name="prepare_datasource_country_association">
|
<action name="prepare_datasource_country_association">
|
||||||
|
@ -159,7 +107,7 @@
|
||||||
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
|
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
|
||||||
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
|
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
|
||||||
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
|
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
|
||||||
--conf spark.sql.shuffle.partitions=300
|
--conf spark.sql.shuffle.partitions=3840
|
||||||
</spark-opts>
|
</spark-opts>
|
||||||
<arg>--sourcePath</arg><arg>${sourcePath}</arg>
|
<arg>--sourcePath</arg><arg>${sourcePath}</arg>
|
||||||
<arg>--whitelist</arg><arg>${whitelist}</arg>
|
<arg>--whitelist</arg><arg>${whitelist}</arg>
|
||||||
|
@ -198,7 +146,8 @@
|
||||||
--conf spark.hadoop.mapreduce.reduce.speculative=false
|
--conf spark.hadoop.mapreduce.reduce.speculative=false
|
||||||
--conf spark.sql.shuffle.partitions=3840
|
--conf spark.sql.shuffle.partitions=3840
|
||||||
</spark-opts>
|
</spark-opts>
|
||||||
<arg>--sourcePath</arg><arg>${workingDir}/publication</arg>
|
<arg>--sourcePath</arg><arg>${sourcePath}/publication</arg>
|
||||||
|
<arg>--outputPath</arg><arg>${workingDir}/publication</arg>
|
||||||
<arg>--hive_metastore_uris</arg><arg>${hive_metastore_uris}</arg>
|
<arg>--hive_metastore_uris</arg><arg>${hive_metastore_uris}</arg>
|
||||||
<arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.Publication</arg>
|
<arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.Publication</arg>
|
||||||
<arg>--preparedInfoPath</arg><arg>${workingDir}/preparedInfo</arg>
|
<arg>--preparedInfoPath</arg><arg>${workingDir}/preparedInfo</arg>
|
||||||
|
@ -227,7 +176,8 @@
|
||||||
--conf spark.hadoop.mapreduce.reduce.speculative=false
|
--conf spark.hadoop.mapreduce.reduce.speculative=false
|
||||||
--conf spark.sql.shuffle.partitions=3840
|
--conf spark.sql.shuffle.partitions=3840
|
||||||
</spark-opts>
|
</spark-opts>
|
||||||
<arg>--sourcePath</arg><arg>${workingDir}/dataset</arg>
|
<arg>--sourcePath</arg><arg>${sourcePath}/dataset</arg>
|
||||||
|
<arg>--outputPath</arg><arg>${workingDir}/dataset</arg>
|
||||||
<arg>--hive_metastore_uris</arg><arg>${hive_metastore_uris}</arg>
|
<arg>--hive_metastore_uris</arg><arg>${hive_metastore_uris}</arg>
|
||||||
<arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.Dataset</arg>
|
<arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.Dataset</arg>
|
||||||
<arg>--preparedInfoPath</arg><arg>${workingDir}/preparedInfo</arg>
|
<arg>--preparedInfoPath</arg><arg>${workingDir}/preparedInfo</arg>
|
||||||
|
@ -256,7 +206,8 @@
|
||||||
--conf spark.hadoop.mapreduce.reduce.speculative=false
|
--conf spark.hadoop.mapreduce.reduce.speculative=false
|
||||||
--conf spark.sql.shuffle.partitions=3840
|
--conf spark.sql.shuffle.partitions=3840
|
||||||
</spark-opts>
|
</spark-opts>
|
||||||
<arg>--sourcePath</arg><arg>${workingDir}/otherresearchproduct</arg>
|
<arg>--sourcePath</arg><arg>${sourcePath}/otherresearchproduct</arg>
|
||||||
|
<arg>--outputPath</arg><arg>${workingDir}/otherresearchproduct</arg>
|
||||||
<arg>--hive_metastore_uris</arg><arg>${hive_metastore_uris}</arg>
|
<arg>--hive_metastore_uris</arg><arg>${hive_metastore_uris}</arg>
|
||||||
<arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.OtherResearchProduct</arg>
|
<arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.OtherResearchProduct</arg>
|
||||||
<arg>--preparedInfoPath</arg><arg>${workingDir}/preparedInfo</arg>
|
<arg>--preparedInfoPath</arg><arg>${workingDir}/preparedInfo</arg>
|
||||||
|
@ -285,7 +236,8 @@
|
||||||
--conf spark.hadoop.mapreduce.reduce.speculative=false
|
--conf spark.hadoop.mapreduce.reduce.speculative=false
|
||||||
--conf spark.sql.shuffle.partitions=3840
|
--conf spark.sql.shuffle.partitions=3840
|
||||||
</spark-opts>
|
</spark-opts>
|
||||||
<arg>--sourcePath</arg><arg>${workingDir}/software</arg>
|
<arg>--sourcePath</arg><arg>${sourcePath}/software</arg>
|
||||||
|
<arg>--outputPath</arg><arg>${workingDir}/software</arg>
|
||||||
<arg>--hive_metastore_uris</arg><arg>${hive_metastore_uris}</arg>
|
<arg>--hive_metastore_uris</arg><arg>${hive_metastore_uris}</arg>
|
||||||
<arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.Software</arg>
|
<arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.Software</arg>
|
||||||
<arg>--preparedInfoPath</arg><arg>${workingDir}/preparedInfo</arg>
|
<arg>--preparedInfoPath</arg><arg>${workingDir}/preparedInfo</arg>
|
||||||
|
@ -308,7 +260,7 @@
|
||||||
<master>yarn</master>
|
<master>yarn</master>
|
||||||
<mode>cluster</mode>
|
<mode>cluster</mode>
|
||||||
<name>countryPropagationForPublications</name>
|
<name>countryPropagationForPublications</name>
|
||||||
<class>eu.dnetlib.dhp.countrypropagation.SparkCountryPropagationJob3</class>
|
<class>eu.dnetlib.dhp.countrypropagation.SparkCountryPropagationJob</class>
|
||||||
<jar>dhp-propagation-${projectVersion}.jar</jar>
|
<jar>dhp-propagation-${projectVersion}.jar</jar>
|
||||||
<spark-opts>
|
<spark-opts>
|
||||||
--executor-cores=${sparkExecutorCores}
|
--executor-cores=${sparkExecutorCores}
|
||||||
|
@ -323,7 +275,8 @@
|
||||||
--conf spark.hadoop.mapreduce.reduce.speculative=false
|
--conf spark.hadoop.mapreduce.reduce.speculative=false
|
||||||
--conf spark.sql.shuffle.partitions=3840
|
--conf spark.sql.shuffle.partitions=3840
|
||||||
</spark-opts>
|
</spark-opts>
|
||||||
<arg>--sourcePath</arg><arg>${workingDir}/publication</arg>
|
<arg>--sourcePath</arg><arg>${sourcePath}/publication</arg>
|
||||||
|
<arg>--preparedInfoPath</arg><arg>${workingDir}/publication</arg>
|
||||||
<arg>--saveGraph</arg><arg>${saveGraph}</arg>
|
<arg>--saveGraph</arg><arg>${saveGraph}</arg>
|
||||||
<arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.Publication</arg>
|
<arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.Publication</arg>
|
||||||
<arg>--outputPath</arg><arg>${outputPath}/publication</arg>
|
<arg>--outputPath</arg><arg>${outputPath}/publication</arg>
|
||||||
|
@ -337,7 +290,7 @@
|
||||||
<master>yarn</master>
|
<master>yarn</master>
|
||||||
<mode>cluster</mode>
|
<mode>cluster</mode>
|
||||||
<name>countryPropagationForDataset</name>
|
<name>countryPropagationForDataset</name>
|
||||||
<class>eu.dnetlib.dhp.countrypropagation.SparkCountryPropagationJob3</class>
|
<class>eu.dnetlib.dhp.countrypropagation.SparkCountryPropagationJob</class>
|
||||||
<jar>dhp-propagation-${projectVersion}.jar</jar>
|
<jar>dhp-propagation-${projectVersion}.jar</jar>
|
||||||
<spark-opts>
|
<spark-opts>
|
||||||
--executor-cores=${sparkExecutorCores}
|
--executor-cores=${sparkExecutorCores}
|
||||||
|
@ -352,7 +305,8 @@
|
||||||
--conf spark.hadoop.mapreduce.reduce.speculative=false
|
--conf spark.hadoop.mapreduce.reduce.speculative=false
|
||||||
--conf spark.sql.shuffle.partitions=3840
|
--conf spark.sql.shuffle.partitions=3840
|
||||||
</spark-opts>
|
</spark-opts>
|
||||||
<arg>--sourcePath</arg><arg>${workingDir}/dataset</arg>
|
<arg>--sourcePath</arg><arg>${sourcePath}/dataset</arg>
|
||||||
|
<arg>--preparedInfoPath</arg><arg>${workingDir}/dataset</arg>
|
||||||
<arg>--saveGraph</arg><arg>${saveGraph}</arg>
|
<arg>--saveGraph</arg><arg>${saveGraph}</arg>
|
||||||
<arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.Dataset</arg>
|
<arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.Dataset</arg>
|
||||||
<arg>--outputPath</arg><arg>${outputPath}/dataset</arg>
|
<arg>--outputPath</arg><arg>${outputPath}/dataset</arg>
|
||||||
|
@ -366,7 +320,7 @@
|
||||||
<master>yarn</master>
|
<master>yarn</master>
|
||||||
<mode>cluster</mode>
|
<mode>cluster</mode>
|
||||||
<name>countryPropagationForORP</name>
|
<name>countryPropagationForORP</name>
|
||||||
<class>eu.dnetlib.dhp.countrypropagation.SparkCountryPropagationJob3</class>
|
<class>eu.dnetlib.dhp.countrypropagation.SparkCountryPropagationJob</class>
|
||||||
<jar>dhp-propagation-${projectVersion}.jar</jar>
|
<jar>dhp-propagation-${projectVersion}.jar</jar>
|
||||||
<spark-opts>
|
<spark-opts>
|
||||||
--executor-cores=${sparkExecutorCores}
|
--executor-cores=${sparkExecutorCores}
|
||||||
|
@ -381,7 +335,8 @@
|
||||||
--conf spark.hadoop.mapreduce.reduce.speculative=false
|
--conf spark.hadoop.mapreduce.reduce.speculative=false
|
||||||
--conf spark.sql.shuffle.partitions=3840
|
--conf spark.sql.shuffle.partitions=3840
|
||||||
</spark-opts>
|
</spark-opts>
|
||||||
<arg>--sourcePath</arg><arg>${workingDir}/otherresearchproduct</arg>
|
<arg>--sourcePath</arg><arg>${sourcePath}/otherresearchproduct</arg>
|
||||||
|
<arg>--preparedInfoPath</arg><arg>${workingDir}/otherresearchproduct</arg>
|
||||||
<arg>--saveGraph</arg><arg>${saveGraph}</arg>
|
<arg>--saveGraph</arg><arg>${saveGraph}</arg>
|
||||||
<arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.OtherResearchProduct</arg>
|
<arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.OtherResearchProduct</arg>
|
||||||
<arg>--outputPath</arg><arg>${outputPath}/otherresearchproduct</arg>
|
<arg>--outputPath</arg><arg>${outputPath}/otherresearchproduct</arg>
|
||||||
|
@ -395,7 +350,7 @@
|
||||||
<master>yarn</master>
|
<master>yarn</master>
|
||||||
<mode>cluster</mode>
|
<mode>cluster</mode>
|
||||||
<name>countryPropagationForSoftware</name>
|
<name>countryPropagationForSoftware</name>
|
||||||
<class>eu.dnetlib.dhp.countrypropagation.SparkCountryPropagationJob3</class>
|
<class>eu.dnetlib.dhp.countrypropagation.SparkCountryPropagationJob</class>
|
||||||
<jar>dhp-propagation-${projectVersion}.jar</jar>
|
<jar>dhp-propagation-${projectVersion}.jar</jar>
|
||||||
<spark-opts>
|
<spark-opts>
|
||||||
--executor-cores=${sparkExecutorCores}
|
--executor-cores=${sparkExecutorCores}
|
||||||
|
@ -410,7 +365,8 @@
|
||||||
--conf spark.hadoop.mapreduce.reduce.speculative=false
|
--conf spark.hadoop.mapreduce.reduce.speculative=false
|
||||||
--conf spark.sql.shuffle.partitions=3840
|
--conf spark.sql.shuffle.partitions=3840
|
||||||
</spark-opts>
|
</spark-opts>
|
||||||
<arg>--sourcePath</arg><arg>${workingDir}/software</arg>
|
<arg>--sourcePath</arg><arg>${sourcePath}/software</arg>
|
||||||
|
<arg>--preparedInfoPath</arg><arg>${workingDir}/software</arg>
|
||||||
<arg>--saveGraph</arg><arg>${saveGraph}</arg>
|
<arg>--saveGraph</arg><arg>${saveGraph}</arg>
|
||||||
<arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.Software</arg>
|
<arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.Software</arg>
|
||||||
<arg>--outputPath</arg><arg>${outputPath}/software</arg>
|
<arg>--outputPath</arg><arg>${outputPath}/software</arg>
|
||||||
|
|
|
@ -253,7 +253,7 @@
|
||||||
<master>yarn</master>
|
<master>yarn</master>
|
||||||
<mode>cluster</mode>
|
<mode>cluster</mode>
|
||||||
<name>ORCIDPropagation-Publication</name>
|
<name>ORCIDPropagation-Publication</name>
|
||||||
<class>eu.dnetlib.dhp.orcidtoresultfromsemrel.SparkOrcidToResultFromSemRelJob3</class>
|
<class>eu.dnetlib.dhp.orcidtoresultfromsemrel.SparkOrcidToResultFromSemRelJob</class>
|
||||||
<jar>dhp-propagation-${projectVersion}.jar</jar>
|
<jar>dhp-propagation-${projectVersion}.jar</jar>
|
||||||
<spark-opts>
|
<spark-opts>
|
||||||
--executor-cores=${sparkExecutorCores}
|
--executor-cores=${sparkExecutorCores}
|
||||||
|
@ -285,7 +285,7 @@
|
||||||
<master>yarn</master>
|
<master>yarn</master>
|
||||||
<mode>cluster</mode>
|
<mode>cluster</mode>
|
||||||
<name>ORCIDPropagation-Dataset</name>
|
<name>ORCIDPropagation-Dataset</name>
|
||||||
<class>eu.dnetlib.dhp.orcidtoresultfromsemrel.SparkOrcidToResultFromSemRelJob3</class>
|
<class>eu.dnetlib.dhp.orcidtoresultfromsemrel.SparkOrcidToResultFromSemRelJob</class>
|
||||||
<jar>dhp-propagation-${projectVersion}.jar</jar>
|
<jar>dhp-propagation-${projectVersion}.jar</jar>
|
||||||
<spark-opts>
|
<spark-opts>
|
||||||
--executor-cores=${sparkExecutorCores}
|
--executor-cores=${sparkExecutorCores}
|
||||||
|
@ -316,7 +316,7 @@
|
||||||
<master>yarn</master>
|
<master>yarn</master>
|
||||||
<mode>cluster</mode>
|
<mode>cluster</mode>
|
||||||
<name>ORCIDPropagation-ORP</name>
|
<name>ORCIDPropagation-ORP</name>
|
||||||
<class>eu.dnetlib.dhp.orcidtoresultfromsemrel.SparkOrcidToResultFromSemRelJob3</class>
|
<class>eu.dnetlib.dhp.orcidtoresultfromsemrel.SparkOrcidToResultFromSemRelJob</class>
|
||||||
<jar>dhp-propagation-${projectVersion}.jar</jar>
|
<jar>dhp-propagation-${projectVersion}.jar</jar>
|
||||||
<spark-opts>
|
<spark-opts>
|
||||||
--executor-cores=${sparkExecutorCores}
|
--executor-cores=${sparkExecutorCores}
|
||||||
|
@ -347,7 +347,7 @@
|
||||||
<master>yarn</master>
|
<master>yarn</master>
|
||||||
<mode>cluster</mode>
|
<mode>cluster</mode>
|
||||||
<name>ORCIDPropagation-Software</name>
|
<name>ORCIDPropagation-Software</name>
|
||||||
<class>eu.dnetlib.dhp.orcidtoresultfromsemrel.SparkOrcidToResultFromSemRelJob3</class>
|
<class>eu.dnetlib.dhp.orcidtoresultfromsemrel.SparkOrcidToResultFromSemRelJob</class>
|
||||||
<jar>dhp-propagation-${projectVersion}.jar</jar>
|
<jar>dhp-propagation-${projectVersion}.jar</jar>
|
||||||
<spark-opts>
|
<spark-opts>
|
||||||
--executor-cores=${sparkExecutorCores}
|
--executor-cores=${sparkExecutorCores}
|
||||||
|
|
|
@ -166,7 +166,7 @@
|
||||||
<master>yarn</master>
|
<master>yarn</master>
|
||||||
<mode>cluster</mode>
|
<mode>cluster</mode>
|
||||||
<name>ProjectToResultPropagation</name>
|
<name>ProjectToResultPropagation</name>
|
||||||
<class>eu.dnetlib.dhp.projecttoresult.SparkResultToProjectThroughSemRelJob3</class>
|
<class>eu.dnetlib.dhp.projecttoresult.SparkResultToProjectThroughSemRelJob</class>
|
||||||
<jar>dhp-propagation-${projectVersion}.jar</jar>
|
<jar>dhp-propagation-${projectVersion}.jar</jar>
|
||||||
<spark-opts>
|
<spark-opts>
|
||||||
--executor-cores=${sparkExecutorCores}
|
--executor-cores=${sparkExecutorCores}
|
||||||
|
|
|
@ -127,7 +127,7 @@
|
||||||
<master>yarn</master>
|
<master>yarn</master>
|
||||||
<mode>cluster</mode>
|
<mode>cluster</mode>
|
||||||
<name>community2resultfromorganization-Publication</name>
|
<name>community2resultfromorganization-Publication</name>
|
||||||
<class>eu.dnetlib.dhp.resulttocommunityfromorganization.SparkResultToCommunityFromOrganizationJob2</class>
|
<class>eu.dnetlib.dhp.resulttocommunityfromorganization.SparkResultToCommunityFromOrganizationJob</class>
|
||||||
<jar>dhp-propagation-${projectVersion}.jar</jar>
|
<jar>dhp-propagation-${projectVersion}.jar</jar>
|
||||||
<spark-opts>
|
<spark-opts>
|
||||||
--executor-cores=${sparkExecutorCores}
|
--executor-cores=${sparkExecutorCores}
|
||||||
|
@ -155,7 +155,7 @@
|
||||||
<master>yarn</master>
|
<master>yarn</master>
|
||||||
<mode>cluster</mode>
|
<mode>cluster</mode>
|
||||||
<name>community2resultfromorganization-Dataset</name>
|
<name>community2resultfromorganization-Dataset</name>
|
||||||
<class>eu.dnetlib.dhp.resulttocommunityfromorganization.SparkResultToCommunityFromOrganizationJob2</class>
|
<class>eu.dnetlib.dhp.resulttocommunityfromorganization.SparkResultToCommunityFromOrganizationJob</class>
|
||||||
<jar>dhp-propagation-${projectVersion}.jar</jar>
|
<jar>dhp-propagation-${projectVersion}.jar</jar>
|
||||||
<spark-opts>
|
<spark-opts>
|
||||||
--executor-cores=${sparkExecutorCores}
|
--executor-cores=${sparkExecutorCores}
|
||||||
|
@ -183,7 +183,7 @@
|
||||||
<master>yarn</master>
|
<master>yarn</master>
|
||||||
<mode>cluster</mode>
|
<mode>cluster</mode>
|
||||||
<name>community2resultfromorganization-ORP</name>
|
<name>community2resultfromorganization-ORP</name>
|
||||||
<class>eu.dnetlib.dhp.resulttocommunityfromorganization.SparkResultToCommunityFromOrganizationJob2</class>
|
<class>eu.dnetlib.dhp.resulttocommunityfromorganization.SparkResultToCommunityFromOrganizationJob</class>
|
||||||
<jar>dhp-propagation-${projectVersion}.jar</jar>
|
<jar>dhp-propagation-${projectVersion}.jar</jar>
|
||||||
<spark-opts>
|
<spark-opts>
|
||||||
--executor-cores=${sparkExecutorCores}
|
--executor-cores=${sparkExecutorCores}
|
||||||
|
@ -211,7 +211,7 @@
|
||||||
<master>yarn</master>
|
<master>yarn</master>
|
||||||
<mode>cluster</mode>
|
<mode>cluster</mode>
|
||||||
<name>community2resultfromorganization-Software</name>
|
<name>community2resultfromorganization-Software</name>
|
||||||
<class>eu.dnetlib.dhp.resulttocommunityfromorganization.SparkResultToCommunityFromOrganizationJob2</class>
|
<class>eu.dnetlib.dhp.resulttocommunityfromorganization.SparkResultToCommunityFromOrganizationJob</class>
|
||||||
<jar>dhp-propagation-${projectVersion}.jar</jar>
|
<jar>dhp-propagation-${projectVersion}.jar</jar>
|
||||||
<spark-opts>
|
<spark-opts>
|
||||||
--executor-cores=${sparkExecutorCores}
|
--executor-cores=${sparkExecutorCores}
|
||||||
|
|
|
@ -252,7 +252,7 @@
|
||||||
<master>yarn</master>
|
<master>yarn</master>
|
||||||
<mode>cluster</mode>
|
<mode>cluster</mode>
|
||||||
<name>Result2CommunitySemRelPropagation-Publication</name>
|
<name>Result2CommunitySemRelPropagation-Publication</name>
|
||||||
<class>eu.dnetlib.dhp.resulttocommunityfromsemrel.SparkResultToCommunityThroughSemRelJob4</class>
|
<class>eu.dnetlib.dhp.resulttocommunityfromsemrel.SparkResultToCommunityThroughSemRelJob</class>
|
||||||
<jar>dhp-propagation-${projectVersion}.jar</jar>
|
<jar>dhp-propagation-${projectVersion}.jar</jar>
|
||||||
<spark-opts>
|
<spark-opts>
|
||||||
--executor-cores=${sparkExecutorCores}
|
--executor-cores=${sparkExecutorCores}
|
||||||
|
@ -280,7 +280,7 @@
|
||||||
<master>yarn</master>
|
<master>yarn</master>
|
||||||
<mode>cluster</mode>
|
<mode>cluster</mode>
|
||||||
<name>Result2CommunitySemRelPropagation-Dataset</name>
|
<name>Result2CommunitySemRelPropagation-Dataset</name>
|
||||||
<class>eu.dnetlib.dhp.resulttocommunityfromsemrel.SparkResultToCommunityThroughSemRelJob4</class>
|
<class>eu.dnetlib.dhp.resulttocommunityfromsemrel.SparkResultToCommunityThroughSemRelJob</class>
|
||||||
<jar>dhp-propagation-${projectVersion}.jar</jar>
|
<jar>dhp-propagation-${projectVersion}.jar</jar>
|
||||||
<spark-opts>
|
<spark-opts>
|
||||||
--executor-cores=${sparkExecutorCores}
|
--executor-cores=${sparkExecutorCores}
|
||||||
|
@ -308,7 +308,7 @@
|
||||||
<master>yarn</master>
|
<master>yarn</master>
|
||||||
<mode>cluster</mode>
|
<mode>cluster</mode>
|
||||||
<name>Result2CommunitySemRelPropagation-ORP</name>
|
<name>Result2CommunitySemRelPropagation-ORP</name>
|
||||||
<class>eu.dnetlib.dhp.resulttocommunityfromsemrel.SparkResultToCommunityThroughSemRelJob4</class>
|
<class>eu.dnetlib.dhp.resulttocommunityfromsemrel.SparkResultToCommunityThroughSemRelJob</class>
|
||||||
<jar>dhp-propagation-${projectVersion}.jar</jar>
|
<jar>dhp-propagation-${projectVersion}.jar</jar>
|
||||||
<spark-opts>
|
<spark-opts>
|
||||||
--executor-cores=${sparkExecutorCores}
|
--executor-cores=${sparkExecutorCores}
|
||||||
|
@ -336,7 +336,7 @@
|
||||||
<master>yarn</master>
|
<master>yarn</master>
|
||||||
<mode>cluster</mode>
|
<mode>cluster</mode>
|
||||||
<name>Result2CommunitySemRelPropagation-Software</name>
|
<name>Result2CommunitySemRelPropagation-Software</name>
|
||||||
<class>eu.dnetlib.dhp.resulttocommunityfromsemrel.SparkResultToCommunityThroughSemRelJob4</class>
|
<class>eu.dnetlib.dhp.resulttocommunityfromsemrel.SparkResultToCommunityThroughSemRelJob</class>
|
||||||
<jar>dhp-propagation-${projectVersion}.jar</jar>
|
<jar>dhp-propagation-${projectVersion}.jar</jar>
|
||||||
<spark-opts>
|
<spark-opts>
|
||||||
--executor-cores=${sparkExecutorCores}
|
--executor-cores=${sparkExecutorCores}
|
||||||
|
|
|
@ -166,7 +166,7 @@
|
||||||
<master>yarn</master>
|
<master>yarn</master>
|
||||||
<mode>cluster</mode>
|
<mode>cluster</mode>
|
||||||
<name>resultToOrganizationFromInstRepoPropagationForPublications</name>
|
<name>resultToOrganizationFromInstRepoPropagationForPublications</name>
|
||||||
<class>eu.dnetlib.dhp.resulttoorganizationfrominstrepo.SparkResultToOrganizationFromIstRepoJob2</class>
|
<class>eu.dnetlib.dhp.resulttoorganizationfrominstrepo.SparkResultToOrganizationFromIstRepoJob</class>
|
||||||
<jar>dhp-propagation-${projectVersion}.jar</jar>
|
<jar>dhp-propagation-${projectVersion}.jar</jar>
|
||||||
<spark-opts>
|
<spark-opts>
|
||||||
--executor-cores=${sparkExecutorCores}
|
--executor-cores=${sparkExecutorCores}
|
||||||
|
@ -196,7 +196,7 @@
|
||||||
<master>yarn</master>
|
<master>yarn</master>
|
||||||
<mode>cluster</mode>
|
<mode>cluster</mode>
|
||||||
<name>resultToOrganizationFromInstRepoPropagationForDataset</name>
|
<name>resultToOrganizationFromInstRepoPropagationForDataset</name>
|
||||||
<class>eu.dnetlib.dhp.resulttoorganizationfrominstrepo.SparkResultToOrganizationFromIstRepoJob2</class>
|
<class>eu.dnetlib.dhp.resulttoorganizationfrominstrepo.SparkResultToOrganizationFromIstRepoJob</class>
|
||||||
<jar>dhp-propagation-${projectVersion}.jar</jar>
|
<jar>dhp-propagation-${projectVersion}.jar</jar>
|
||||||
<spark-opts>
|
<spark-opts>
|
||||||
--executor-cores=${sparkExecutorCores}
|
--executor-cores=${sparkExecutorCores}
|
||||||
|
@ -225,7 +225,7 @@
|
||||||
<master>yarn</master>
|
<master>yarn</master>
|
||||||
<mode>cluster</mode>
|
<mode>cluster</mode>
|
||||||
<name>resultToOrganizationFromInstRepoPropagationForORP</name>
|
<name>resultToOrganizationFromInstRepoPropagationForORP</name>
|
||||||
<class>eu.dnetlib.dhp.resulttoorganizationfrominstrepo.SparkResultToOrganizationFromIstRepoJob2</class>
|
<class>eu.dnetlib.dhp.resulttoorganizationfrominstrepo.SparkResultToOrganizationFromIstRepoJob</class>
|
||||||
<jar>dhp-propagation-${projectVersion}.jar</jar>
|
<jar>dhp-propagation-${projectVersion}.jar</jar>
|
||||||
<spark-opts>
|
<spark-opts>
|
||||||
--executor-cores=${sparkExecutorCores}
|
--executor-cores=${sparkExecutorCores}
|
||||||
|
@ -255,7 +255,7 @@
|
||||||
<master>yarn</master>
|
<master>yarn</master>
|
||||||
<mode>cluster</mode>
|
<mode>cluster</mode>
|
||||||
<name>resultToOrganizationFromInstRepoPropagationForSoftware</name>
|
<name>resultToOrganizationFromInstRepoPropagationForSoftware</name>
|
||||||
<class>eu.dnetlib.dhp.resulttoorganizationfrominstrepo.SparkResultToOrganizationFromIstRepoJob2</class>
|
<class>eu.dnetlib.dhp.resulttoorganizationfrominstrepo.SparkResultToOrganizationFromIstRepoJob</class>
|
||||||
<jar>dhp-propagation-${projectVersion}.jar</jar>
|
<jar>dhp-propagation-${projectVersion}.jar</jar>
|
||||||
<spark-opts>
|
<spark-opts>
|
||||||
--executor-cores=${sparkExecutorCores}
|
--executor-cores=${sparkExecutorCores}
|
||||||
|
|
|
@ -66,30 +66,25 @@ public class CountryPropagationJobTest {
|
||||||
|
|
||||||
@Test
|
@Test
|
||||||
public void testCountryPropagationSoftware() throws Exception {
|
public void testCountryPropagationSoftware() throws Exception {
|
||||||
SparkCountryPropagationJob2
|
final String sourcePath = getClass()
|
||||||
|
.getResource("/eu/dnetlib/dhp/countrypropagation/sample/software")
|
||||||
|
.getPath();
|
||||||
|
final String preparedInfoPath = getClass()
|
||||||
|
.getResource("/eu/dnetlib/dhp/countrypropagation/preparedInfo")
|
||||||
|
.getPath();
|
||||||
|
SparkCountryPropagationJob
|
||||||
.main(
|
.main(
|
||||||
new String[] {
|
new String[] {
|
||||||
"-isSparkSessionManaged",
|
"--isSparkSessionManaged", Boolean.FALSE.toString(),
|
||||||
Boolean.FALSE.toString(),
|
"--sourcePath", sourcePath,
|
||||||
"-sourcePath",
|
"--hive_metastore_uris", "",
|
||||||
getClass()
|
"-saveGraph", "true",
|
||||||
.getResource("/eu/dnetlib/dhp/countrypropagation/sample/software")
|
"-resultTableName", Software.class.getCanonicalName(),
|
||||||
.getPath(),
|
"-outputPath", workingDir.toString() + "/software",
|
||||||
"-hive_metastore_uris",
|
"-preparedInfoPath", preparedInfoPath
|
||||||
"",
|
|
||||||
"-saveGraph",
|
|
||||||
"true",
|
|
||||||
"-resultTableName",
|
|
||||||
"eu.dnetlib.dhp.schema.oaf.Software",
|
|
||||||
"-outputPath",
|
|
||||||
workingDir.toString() + "/software",
|
|
||||||
"-preparedInfoPath",
|
|
||||||
getClass()
|
|
||||||
.getResource("/eu/dnetlib/dhp/countrypropagation/preparedInfo")
|
|
||||||
.getPath(),
|
|
||||||
});
|
});
|
||||||
|
|
||||||
final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
|
final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
|
||||||
|
|
||||||
JavaRDD<Software> tmp = sc
|
JavaRDD<Software> tmp = sc
|
||||||
.textFile(workingDir.toString() + "/software")
|
.textFile(workingDir.toString() + "/software")
|
||||||
|
|
|
@ -65,33 +65,27 @@ public class OrcidPropagationJobTest {
|
||||||
|
|
||||||
@Test
|
@Test
|
||||||
public void noUpdateTest() throws Exception {
|
public void noUpdateTest() throws Exception {
|
||||||
SparkOrcidToResultFromSemRelJob3
|
final String sourcePath = getClass()
|
||||||
.main(
|
|
||||||
new String[] {
|
|
||||||
"-isTest",
|
|
||||||
Boolean.TRUE.toString(),
|
|
||||||
"-isSparkSessionManaged",
|
|
||||||
Boolean.FALSE.toString(),
|
|
||||||
"-sourcePath",
|
|
||||||
getClass()
|
|
||||||
.getResource("/eu/dnetlib/dhp/orcidtoresultfromsemrel/sample/noupdate")
|
.getResource("/eu/dnetlib/dhp/orcidtoresultfromsemrel/sample/noupdate")
|
||||||
.getPath(),
|
.getPath();
|
||||||
"-hive_metastore_uris",
|
final String possibleUpdatesPath = getClass()
|
||||||
"",
|
|
||||||
"-saveGraph",
|
|
||||||
"true",
|
|
||||||
"-resultTableName",
|
|
||||||
"eu.dnetlib.dhp.schema.oaf.Dataset",
|
|
||||||
"-outputPath",
|
|
||||||
workingDir.toString() + "/dataset",
|
|
||||||
"-possibleUpdatesPath",
|
|
||||||
getClass()
|
|
||||||
.getResource(
|
.getResource(
|
||||||
"/eu/dnetlib/dhp/orcidtoresultfromsemrel/preparedInfo/mergedOrcidAssoc")
|
"/eu/dnetlib/dhp/orcidtoresultfromsemrel/preparedInfo/mergedOrcidAssoc")
|
||||||
.getPath()
|
.getPath();
|
||||||
|
SparkOrcidToResultFromSemRelJob
|
||||||
|
.main(
|
||||||
|
new String[] {
|
||||||
|
"-isTest", Boolean.TRUE.toString(),
|
||||||
|
"-isSparkSessionManaged", Boolean.FALSE.toString(),
|
||||||
|
"-sourcePath", sourcePath,
|
||||||
|
"-hive_metastore_uris", "",
|
||||||
|
"-saveGraph", "true",
|
||||||
|
"-resultTableName", Dataset.class.getCanonicalName(),
|
||||||
|
"-outputPath", workingDir.toString() + "/dataset",
|
||||||
|
"-possibleUpdatesPath", possibleUpdatesPath
|
||||||
});
|
});
|
||||||
|
|
||||||
final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
|
final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
|
||||||
|
|
||||||
JavaRDD<Dataset> tmp = sc
|
JavaRDD<Dataset> tmp = sc
|
||||||
.textFile(workingDir.toString() + "/dataset")
|
.textFile(workingDir.toString() + "/dataset")
|
||||||
|
@ -117,7 +111,7 @@ public class OrcidPropagationJobTest {
|
||||||
|
|
||||||
@Test
|
@Test
|
||||||
public void oneUpdateTest() throws Exception {
|
public void oneUpdateTest() throws Exception {
|
||||||
SparkOrcidToResultFromSemRelJob3
|
SparkOrcidToResultFromSemRelJob
|
||||||
.main(
|
.main(
|
||||||
new String[] {
|
new String[] {
|
||||||
"-isTest",
|
"-isTest",
|
||||||
|
@ -182,7 +176,7 @@ public class OrcidPropagationJobTest {
|
||||||
|
|
||||||
@Test
|
@Test
|
||||||
public void twoUpdatesTest() throws Exception {
|
public void twoUpdatesTest() throws Exception {
|
||||||
SparkOrcidToResultFromSemRelJob3
|
SparkOrcidToResultFromSemRelJob
|
||||||
.main(
|
.main(
|
||||||
new String[] {
|
new String[] {
|
||||||
"-isTest",
|
"-isTest",
|
||||||
|
|
|
@ -72,7 +72,7 @@ public class ProjectPropagationJobTest {
|
||||||
@Test
|
@Test
|
||||||
public void NoUpdateTest() throws Exception {
|
public void NoUpdateTest() throws Exception {
|
||||||
|
|
||||||
SparkResultToProjectThroughSemRelJob3
|
SparkResultToProjectThroughSemRelJob
|
||||||
.main(
|
.main(
|
||||||
new String[] {
|
new String[] {
|
||||||
"-isTest",
|
"-isTest",
|
||||||
|
@ -115,7 +115,7 @@ public class ProjectPropagationJobTest {
|
||||||
*/
|
*/
|
||||||
@Test
|
@Test
|
||||||
public void UpdateTenTest() throws Exception {
|
public void UpdateTenTest() throws Exception {
|
||||||
SparkResultToProjectThroughSemRelJob3
|
SparkResultToProjectThroughSemRelJob
|
||||||
.main(
|
.main(
|
||||||
new String[] {
|
new String[] {
|
||||||
"-isTest",
|
"-isTest",
|
||||||
|
@ -194,7 +194,7 @@ public class ProjectPropagationJobTest {
|
||||||
*/
|
*/
|
||||||
@Test
|
@Test
|
||||||
public void UpdateMixTest() throws Exception {
|
public void UpdateMixTest() throws Exception {
|
||||||
SparkResultToProjectThroughSemRelJob3
|
SparkResultToProjectThroughSemRelJob
|
||||||
.main(
|
.main(
|
||||||
new String[] {
|
new String[] {
|
||||||
"-isTest",
|
"-isTest",
|
||||||
|
|
|
@ -67,8 +67,8 @@ public class ResultToCommunityJobTest {
|
||||||
}
|
}
|
||||||
|
|
||||||
@Test
|
@Test
|
||||||
public void test1() throws Exception {
|
public void testSparkResultToCommunityFromOrganizationJob() throws Exception {
|
||||||
SparkResultToCommunityFromOrganizationJob2
|
SparkResultToCommunityFromOrganizationJob
|
||||||
.main(
|
.main(
|
||||||
new String[] {
|
new String[] {
|
||||||
"-isTest",
|
"-isTest",
|
||||||
|
|
|
@ -78,7 +78,7 @@ public class ResultToCommunityJobTest {
|
||||||
|
|
||||||
@Test
|
@Test
|
||||||
public void test1() throws Exception {
|
public void test1() throws Exception {
|
||||||
SparkResultToCommunityThroughSemRelJob4
|
SparkResultToCommunityThroughSemRelJob
|
||||||
.main(
|
.main(
|
||||||
new String[] {
|
new String[] {
|
||||||
"-isTest", Boolean.TRUE.toString(),
|
"-isTest", Boolean.TRUE.toString(),
|
||||||
|
|
|
@ -39,11 +39,11 @@ public class Result2OrganizationJobTest {
|
||||||
public static void beforeAll() throws IOException {
|
public static void beforeAll() throws IOException {
|
||||||
workingDir = Files
|
workingDir = Files
|
||||||
.createTempDirectory(
|
.createTempDirectory(
|
||||||
SparkResultToOrganizationFromIstRepoJob2.class.getSimpleName());
|
SparkResultToOrganizationFromIstRepoJob.class.getSimpleName());
|
||||||
log.info("using work dir {}", workingDir);
|
log.info("using work dir {}", workingDir);
|
||||||
|
|
||||||
SparkConf conf = new SparkConf();
|
SparkConf conf = new SparkConf();
|
||||||
conf.setAppName(SparkResultToOrganizationFromIstRepoJob2.class.getSimpleName());
|
conf.setAppName(SparkResultToOrganizationFromIstRepoJob.class.getSimpleName());
|
||||||
|
|
||||||
conf.setMaster("local[*]");
|
conf.setMaster("local[*]");
|
||||||
conf.set("spark.driver.host", "localhost");
|
conf.set("spark.driver.host", "localhost");
|
||||||
|
@ -54,7 +54,7 @@ public class Result2OrganizationJobTest {
|
||||||
|
|
||||||
spark = SparkSession
|
spark = SparkSession
|
||||||
.builder()
|
.builder()
|
||||||
.appName(SparkResultToOrganizationFromIstRepoJob2.class.getSimpleName())
|
.appName(SparkResultToOrganizationFromIstRepoJob.class.getSimpleName())
|
||||||
.config(conf)
|
.config(conf)
|
||||||
.getOrCreate();
|
.getOrCreate();
|
||||||
}
|
}
|
||||||
|
@ -72,7 +72,7 @@ public class Result2OrganizationJobTest {
|
||||||
*/
|
*/
|
||||||
@Test
|
@Test
|
||||||
public void NoUpdateTest() throws Exception {
|
public void NoUpdateTest() throws Exception {
|
||||||
SparkResultToOrganizationFromIstRepoJob2
|
SparkResultToOrganizationFromIstRepoJob
|
||||||
.main(
|
.main(
|
||||||
new String[] {
|
new String[] {
|
||||||
"-isTest",
|
"-isTest",
|
||||||
|
@ -123,7 +123,7 @@ public class Result2OrganizationJobTest {
|
||||||
*/
|
*/
|
||||||
@Test
|
@Test
|
||||||
public void UpdateNoMixTest() throws Exception {
|
public void UpdateNoMixTest() throws Exception {
|
||||||
SparkResultToOrganizationFromIstRepoJob2
|
SparkResultToOrganizationFromIstRepoJob
|
||||||
.main(
|
.main(
|
||||||
new String[] {
|
new String[] {
|
||||||
"-isTest",
|
"-isTest",
|
||||||
|
@ -197,7 +197,7 @@ public class Result2OrganizationJobTest {
|
||||||
|
|
||||||
@Test
|
@Test
|
||||||
public void UpdateMixTest() throws Exception {
|
public void UpdateMixTest() throws Exception {
|
||||||
SparkResultToOrganizationFromIstRepoJob2
|
SparkResultToOrganizationFromIstRepoJob
|
||||||
.main(
|
.main(
|
||||||
new String[] {
|
new String[] {
|
||||||
"-isTest",
|
"-isTest",
|
||||||
|
|
Loading…
Reference in New Issue