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added to CreateSimRel the feature to write time log

This commit is contained in:
Sandro La Bruzzo 2023-06-28 11:20:58 +02:00
parent b195da3a83
commit bd17c3edc8
2 changed files with 30 additions and 2 deletions
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20
dhp-workflows/dhp-dedup-openaire/src/main/java/eu/dnetlib/dhp/oa/dedup/SparkCreateSimRels.java
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@ -4,7 +4,10 @@ package eu.dnetlib.dhp.oa.dedup;
import java.io.IOException; import java.io.IOException;
import java.util.Optional; import java.util.Optional;
import eu.dnetlib.dhp.application.dedup.log.DedupLogModel;
import eu.dnetlib.dhp.application.dedup.log.DedupLogWriter;
import org.apache.commons.io.IOUtils; import org.apache.commons.io.IOUtils;
import org.apache.commons.lang3.StringUtils;
import org.apache.spark.SparkConf; import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaPairRDD; import org.apache.spark.api.java.JavaPairRDD;
import org.apache.spark.api.java.JavaSparkContext; import org.apache.spark.api.java.JavaSparkContext;
@ -20,8 +23,6 @@ import org.xml.sax.SAXException;
import eu.dnetlib.dhp.application.ArgumentApplicationParser; import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.oa.dedup.model.Block; import eu.dnetlib.dhp.oa.dedup.model.Block;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.oaf.DataInfo;
import eu.dnetlib.dhp.schema.oaf.Relation; import eu.dnetlib.dhp.schema.oaf.Relation;
import eu.dnetlib.dhp.utils.ISLookupClientFactory; import eu.dnetlib.dhp.utils.ISLookupClientFactory;
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpException; import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpException;
@ -73,9 +74,16 @@ public class SparkCreateSimRels extends AbstractSparkAction {
log.info("actionSetId: '{}'", actionSetId); log.info("actionSetId: '{}'", actionSetId);
log.info("workingPath: '{}'", workingPath); log.info("workingPath: '{}'", workingPath);
final String dfLogPath = parser.get("dataframeLog");
final String runTag = Optional.ofNullable(parser.get("runTAG")).orElse("UNKNOWN");
// for each dedup configuration // for each dedup configuration
for (DedupConfig dedupConf : getConfigurations(isLookUpService, actionSetId)) { for (DedupConfig dedupConf : getConfigurations(isLookUpService, actionSetId)) {
final long start = System.currentTimeMillis();
final String entity = dedupConf.getWf().getEntityType(); final String entity = dedupConf.getWf().getEntityType();
final String subEntity = dedupConf.getWf().getSubEntityValue(); final String subEntity = dedupConf.getWf().getSubEntityValue();
log.info("Creating simrels for: '{}'", subEntity); log.info("Creating simrels for: '{}'", subEntity);
@ -85,6 +93,7 @@ public class SparkCreateSimRels extends AbstractSparkAction {
JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext()); JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
JavaPairRDD<String, MapDocument> mapDocuments = sc JavaPairRDD<String, MapDocument> mapDocuments = sc
.textFile(DedupUtility.createEntityPath(graphBasePath, subEntity)) .textFile(DedupUtility.createEntityPath(graphBasePath, subEntity))
.repartition(numPartitions) .repartition(numPartitions)
@ -109,6 +118,13 @@ public class SparkCreateSimRels extends AbstractSparkAction {
Encoders.bean(Relation.class)); Encoders.bean(Relation.class));
saveParquet(simRels, outputPath, SaveMode.Overwrite); saveParquet(simRels, outputPath, SaveMode.Overwrite);
final long end = System.currentTimeMillis();
if (StringUtils.isNotBlank(dfLogPath)) {
final DedupLogModel model = new DedupLogModel(runTag, dedupConf.toString(),entity, start, end, end-start);
new DedupLogWriter(dfLogPath).appendLog(model, spark);
}
} }
} }

12
dhp-workflows/dhp-dedup-openaire/src/main/resources/eu/dnetlib/dhp/oa/dedup/createSimRels_parameters.json
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@ -28,5 +28,17 @@
"paramLongName": "numPartitions", "paramLongName": "numPartitions",
"paramDescription": "number of partitions for the similarity relations intermediate phases", "paramDescription": "number of partitions for the similarity relations intermediate phases",
"paramRequired": false "paramRequired": false
},
{
"paramName": "dl",
"paramLongName": "dataframeLog",
"paramDescription": "the path of the dataframe Log",
"paramRequired": false
},
{
"paramName": "rt",
"paramLongName": "runTAG",
"paramDescription": "the label of the current running",
"paramRequired": false
} }
] ]