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changed to discriminate if dumping all the results type together or each one in its own archive

This commit is contained in:
Miriam Baglioni 2020-08-19 11:25:27 +02:00
parent c5858afb88
commit 387be43fd4
1 changed files with 45 additions and 12 deletions
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57
dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/dump/graph/SparkCollectAndSave.java
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@ -8,6 +8,7 @@ import java.util.Optional;
import org.apache.commons.io.IOUtils;
import org.apache.spark.SparkConf;
import org.apache.spark.sql.Dataset;
import org.apache.spark.sql.SaveMode;
import org.apache.spark.sql.SparkSession;
import org.slf4j.Logger;
@ -20,7 +21,6 @@ import eu.dnetlib.dhp.schema.dump.oaf.graph.Relation;
/**
* Reads all the entities of the same type (Relation / Results) and saves them in the same folder
*
*/
public class SparkCollectAndSave implements Serializable {
@ -48,6 +48,11 @@ public class SparkCollectAndSave implements Serializable {
final String outputPath = parser.get("outputPath");
log.info("outputPath: {}", outputPath);
final Boolean aggregateResult = Optional
.ofNullable(parser.get("resultAggregation"))
.map(Boolean::valueOf)
.orElse(Boolean.TRUE);
SparkConf conf = new SparkConf();
runWithSparkSession(
@ -55,22 +60,42 @@ public class SparkCollectAndSave implements Serializable {
isSparkSessionManaged,
spark -> {
Utils.removeOutputDir(spark, outputPath + "/result");
run(spark, inputPath, outputPath);
run(spark, inputPath, outputPath, aggregateResult);
});
}
private static void run(SparkSession spark, String inputPath, String outputPath) {
Utils
.readPath(spark, inputPath + "/result/publication", Result.class)
.union(Utils.readPath(spark, inputPath + "/result/dataset", Result.class))
.union(Utils.readPath(spark, inputPath + "/result/otherresearchproduct", Result.class))
.union(Utils.readPath(spark, inputPath + "/result/software", Result.class))
.write()
.option("compression", "gzip")
.mode(SaveMode.Overwrite)
.json(outputPath + "/result");
private static void run(SparkSession spark, String inputPath, String outputPath, boolean aggregate) {
if (aggregate) {
Utils
.readPath(spark, inputPath + "/result/publication", Result.class)
.union(Utils.readPath(spark, inputPath + "/result/dataset", Result.class))
.union(Utils.readPath(spark, inputPath + "/result/otherresearchproduct", Result.class))
.union(Utils.readPath(spark, inputPath + "/result/software", Result.class))
.write()
.option("compression", "gzip")
.mode(SaveMode.Overwrite)
.json(outputPath + "/result");
} else {
write(
Utils
.readPath(spark, inputPath + "/result/publication", Result.class),
outputPath + "/publication");
write(
Utils
.readPath(spark, inputPath + "/result/dataset", Result.class),
outputPath + "/dataset");
write(
Utils
.readPath(spark, inputPath + "/result/otherresearchproduct", Result.class),
outputPath + "/otheresearchproduct");
write(
Utils
.readPath(spark, inputPath + "/result/software", Result.class),
outputPath + "/software");
}
Utils
.readPath(spark, inputPath + "/relation/publication", Relation.class)
@ -86,4 +111,12 @@ public class SparkCollectAndSave implements Serializable {
.json(outputPath + "/relation");
}
private static void write(Dataset<Result> dataSet, String outputPath) {
dataSet
.write()
.option("compression", "gzip")
.mode(SaveMode.Overwrite)
.json(outputPath);
}
}