forked from D-Net/dnet-hadoop
[AFFPropSR] added new paprameter for the number of iterations and new code for just one iteration
This commit is contained in:
parent
908294d86e
commit
064f9bbd87
|
@ -6,6 +6,7 @@ import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkHiveSession;
|
|||
|
||||
import java.io.Serializable;
|
||||
import java.util.Arrays;
|
||||
import java.util.Optional;
|
||||
|
||||
import org.apache.commons.io.IOUtils;
|
||||
import org.apache.spark.SparkConf;
|
||||
|
@ -64,6 +65,18 @@ public class SparkResultToOrganizationFromSemRel implements Serializable {
|
|||
final String workingPath = parser.get("workingDir");
|
||||
log.info("workingPath: {}", workingPath);
|
||||
|
||||
final int iterations = Optional
|
||||
.ofNullable(parser.get("iterations"))
|
||||
.map(v -> {
|
||||
if (Integer.valueOf(v) < MAX_ITERATION) {
|
||||
return Integer.valueOf(v);
|
||||
} else
|
||||
return MAX_ITERATION;
|
||||
})
|
||||
.orElse(MAX_ITERATION);
|
||||
|
||||
log.info("iterations: {}", iterations);
|
||||
|
||||
SparkConf conf = new SparkConf();
|
||||
conf.set("hive.metastore.uris", parser.get("hive_metastore_uris"));
|
||||
|
||||
|
@ -77,7 +90,8 @@ public class SparkResultToOrganizationFromSemRel implements Serializable {
|
|||
resultOrganizationPath,
|
||||
relationPath,
|
||||
workingPath,
|
||||
outputPath));
|
||||
outputPath,
|
||||
iterations));
|
||||
}
|
||||
|
||||
public static void execPropagation(SparkSession spark,
|
||||
|
@ -86,26 +100,45 @@ public class SparkResultToOrganizationFromSemRel implements Serializable {
|
|||
String resultOrganizationPath,
|
||||
String graphPath,
|
||||
String workingPath,
|
||||
String outputPath,
|
||||
int iterations) {
|
||||
if (iterations == 1) {
|
||||
doPropagateOnce(
|
||||
spark, leavesPath, childParentPath, resultOrganizationPath, graphPath,
|
||||
workingPath, outputPath);
|
||||
} else {
|
||||
|
||||
final LongAccumulator iterationOne = spark.sparkContext().longAccumulator(ITERATION_ONE);
|
||||
final LongAccumulator iterationTwo = spark.sparkContext().longAccumulator(ITERATION_TWO);
|
||||
final LongAccumulator iterationThree = spark.sparkContext().longAccumulator(ITERATION_THREE);
|
||||
final LongAccumulator iterationFour = spark.sparkContext().longAccumulator(ITERATION_FOUR);
|
||||
final LongAccumulator iterationFive = spark.sparkContext().longAccumulator(ITERATION_FIVE);
|
||||
final LongAccumulator notReachedFirstParent = spark.sparkContext().longAccumulator(ITERATION_NO_PARENT);
|
||||
|
||||
final PropagationCounter propagationCounter = new PropagationCounter(iterationOne,
|
||||
iterationTwo,
|
||||
iterationThree,
|
||||
iterationFour,
|
||||
iterationFive,
|
||||
notReachedFirstParent);
|
||||
|
||||
doPropagate(
|
||||
spark, leavesPath, childParentPath, resultOrganizationPath, graphPath,
|
||||
workingPath, outputPath, propagationCounter);
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
private static void doPropagateOnce(SparkSession spark, String leavesPath, String childParentPath,
|
||||
String resultOrganizationPath, String graphPath, String workingPath,
|
||||
String outputPath) {
|
||||
|
||||
final LongAccumulator iterationOne = spark.sparkContext().longAccumulator(ITERATION_ONE);
|
||||
final LongAccumulator iterationTwo = spark.sparkContext().longAccumulator(ITERATION_TWO);
|
||||
final LongAccumulator iterationThree = spark.sparkContext().longAccumulator(ITERATION_THREE);
|
||||
final LongAccumulator iterationFour = spark.sparkContext().longAccumulator(ITERATION_FOUR);
|
||||
final LongAccumulator iterationFive = spark.sparkContext().longAccumulator(ITERATION_FIVE);
|
||||
final LongAccumulator notReachedFirstParent = spark.sparkContext().longAccumulator(ITERATION_NO_PARENT);
|
||||
|
||||
final PropagationCounter propagationCounter = new PropagationCounter(iterationOne,
|
||||
iterationTwo,
|
||||
iterationThree,
|
||||
iterationFour,
|
||||
iterationFive,
|
||||
notReachedFirstParent);
|
||||
|
||||
doPropagate(
|
||||
spark, leavesPath, childParentPath, resultOrganizationPath, graphPath,
|
||||
workingPath, outputPath, propagationCounter);
|
||||
StepActions
|
||||
.execStep(
|
||||
spark, graphPath, workingPath + NEW_RELATION_PATH,
|
||||
leavesPath, childParentPath, resultOrganizationPath);
|
||||
|
||||
addNewRelations(spark, workingPath + NEW_RELATION_PATH, outputPath);
|
||||
}
|
||||
|
||||
private static void doPropagate(SparkSession spark, String leavesPath, String childParentPath,
|
||||
|
|
|
@ -46,5 +46,11 @@
|
|||
"paramLongName": "outputPath",
|
||||
"paramDescription": "the path used to store temporary output files",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "it",
|
||||
"paramLongName": "iterations",
|
||||
"paramDescription": "the number of iterations to be computed",
|
||||
"paramRequired": false
|
||||
}
|
||||
]
|
|
@ -1,4 +1,4 @@
|
|||
<workflow-app name="affiliation_from_instrepo_propagation" xmlns="uri:oozie:workflow:0.5">
|
||||
<workflow-app name="affiliation_from_semrel_propagation" xmlns="uri:oozie:workflow:0.5">
|
||||
<parameters>
|
||||
<property>
|
||||
<name>sourcePath</name>
|
||||
|
@ -181,6 +181,7 @@
|
|||
<arg>--resultOrgPath</arg><arg>${workingDir}/preparedInfo/resultOrgPath</arg>
|
||||
<arg>--hive_metastore_uris</arg><arg>${hive_metastore_uris}</arg>
|
||||
<arg>--workingDir</arg><arg>${workingDir}/working</arg>
|
||||
<arg>--iterations</arg><arg>${iterations}</arg>
|
||||
</spark>
|
||||
<ok to="End"/>
|
||||
<error to="Kill"/>
|
||||
|
|
Loading…
Reference in New Issue