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removed unnecessary variable and unused method

This commit is contained in:
Miriam Baglioni 2020-12-01 15:02:31 +01:00
parent 5b3ed70808
commit 17680296b9
1 changed files with 4 additions and 14 deletions
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18
dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipfinder/SparkAtomicActionScoreJob.java
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@ -8,6 +8,7 @@ import java.util.List;
import java.util.Optional; import java.util.Optional;
import java.util.stream.Collectors; import java.util.stream.Collectors;
import eu.dnetlib.dhp.schema.common.ModelSupport;
import org.apache.commons.io.IOUtils; import org.apache.commons.io.IOUtils;
import org.apache.hadoop.hdfs.qjournal.protocol.QJournalProtocolProtos; import org.apache.hadoop.hdfs.qjournal.protocol.QJournalProtocolProtos;
import org.apache.hadoop.io.Text; import org.apache.hadoop.io.Text;
@ -115,7 +116,7 @@ public class SparkAtomicActionScoreJob implements Serializable {
"where dataInfo.deletedbyinference = false and pIde.qualifier.classid = '" + DOI + "'") "where dataInfo.deletedbyinference = false and pIde.qualifier.classid = '" + DOI + "'")
.as(Encoders.bean(PreparedResult.class)); .as(Encoders.bean(PreparedResult.class));
Dataset<BipScore> tmp = bipScores bipScores
.joinWith( .joinWith(
preparedResult, bipScores.col("id").equalTo(preparedResult.col("value")), preparedResult, bipScores.col("id").equalTo(preparedResult.col("value")),
"inner") "inner")
@ -123,9 +124,7 @@ public class SparkAtomicActionScoreJob implements Serializable {
BipScore ret = value._1(); BipScore ret = value._1();
ret.setId(value._2().getId()); ret.setId(value._2().getId());
return ret; return ret;
}, Encoders.bean(BipScore.class)); }, Encoders.bean(BipScore.class))
tmp
.groupByKey((MapFunction<BipScore, String>) value -> value.getId(), Encoders.STRING()) .groupByKey((MapFunction<BipScore, String>) value -> value.getId(), Encoders.STRING())
.mapGroups((MapGroupsFunction<String, BipScore, I>) (k, it) -> { .mapGroups((MapGroupsFunction<String, BipScore, I>) (k, it) -> {
Result ret = inputClazz.newInstance(); Result ret = inputClazz.newInstance();
@ -143,18 +142,9 @@ public class SparkAtomicActionScoreJob implements Serializable {
aa -> new Tuple2<>(new Text(aa.getClazz().getCanonicalName()), aa -> new Tuple2<>(new Text(aa.getClazz().getCanonicalName()),
new Text(OBJECT_MAPPER.writeValueAsString(aa)))) new Text(OBJECT_MAPPER.writeValueAsString(aa))))
.saveAsHadoopFile(outputPath, Text.class, Text.class, SequenceFileOutputFormat.class); .saveAsHadoopFile(outputPath, Text.class, Text.class, SequenceFileOutputFormat.class);
;
} }
public static Dataset<BipScore> getBipScoreDataset(Dataset<BipDeserialize> bipdeserialized) {
return bipdeserialized
.flatMap((FlatMapFunction<BipDeserialize, BipScore>) bip -> bip.keySet().stream().map(key -> {
BipScore bs = new BipScore();
bs.setId(key);
bs.setScoreList(bip.get(key));
return bs;
}).collect(Collectors.toList()).iterator(), Encoders.bean(BipScore.class));
}
private static List<Measure> getMeasure(BipScore value) { private static List<Measure> getMeasure(BipScore value) {
return value return value