D-Net
/
dnet-hadoop
14
5
Fork 11
Code Issues 14 Pull Requests 12 Projects 2 Releases 2 Wiki Activity

changed method signature from set of mapkey entries to String representing path on file system where to find the map

This commit is contained in:
Miriam Baglioni 2020-08-07 17:32:27 +02:00
parent 931fa2ff00
commit ae1b7fbfdb
1 changed files with 12 additions and 5 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

17
dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/dump/community/CommunitySplit.java
View File

@ -1,10 +1,17 @@
/**
* This class splits the dumped results according to the research community - research initiative/infrastructure
* they are related to. The information about the community is found in the element "context.id" in the result.
* Since the context that can be found in the result can be associated not only to communities, a community Map
* is provided. It will guide the splitting process.
* Note: the repartition(1) just before writing the results related to a community. This is a choice due
* to uploading constraints (just one file for each community) As soon as a better solution will be in place
* remove the repartition
*/
package eu.dnetlib.dhp.oa.graph.dump.community;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import java.io.Serializable;
import java.util.Objects;
import java.util.Optional;
import java.util.Set;
import java.util.stream.Collectors;
@ -19,19 +26,19 @@ import eu.dnetlib.dhp.schema.dump.oaf.community.CommunityResult;
public class CommunitySplit implements Serializable {
public void run(Boolean isSparkSessionManaged, String inputPath, String outputPath, CommunityMap communityMap) {
public void run(Boolean isSparkSessionManaged, String inputPath, String outputPath, String communityMapPath) {
SparkConf conf = new SparkConf();
runWithSparkSession(
conf,
isSparkSessionManaged,
spark -> {
Utils.removeOutputDir(spark, outputPath);
execSplit(spark, inputPath, outputPath, communityMap.keySet());// , inputClazz);
execSplit(spark, inputPath, outputPath, Utils.getCommunityMap(spark, communityMapPath).keySet());
});
}
private static void execSplit(SparkSession spark, String inputPath, String outputPath,
Set<String> communities) {// }, Class<R> inputClazz) {
Set<String> communities) {
Dataset<CommunityResult> result = Utils
.readPath(spark, inputPath + "/publication", CommunityResult.class)