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SparkBlockStats allows to repartition the input rdd via the numPartitions workflow parameter

This commit is contained in:
Claudio Atzori 2020-07-13 20:09:06 +02:00
parent b52c246aed
commit 06def0c0cb
5 changed files with 47 additions and 37 deletions

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@ -28,6 +28,8 @@ import eu.dnetlib.pace.config.DedupConfig;
abstract class AbstractSparkAction implements Serializable { abstract class AbstractSparkAction implements Serializable {
protected static final int NUM_PARTITIONS = 1000;
protected static final ObjectMapper OBJECT_MAPPER = new ObjectMapper() protected static final ObjectMapper OBJECT_MAPPER = new ObjectMapper()
.configure(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES, false); .configure(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES, false);

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@ -2,6 +2,7 @@
package eu.dnetlib.dhp.oa.dedup; package eu.dnetlib.dhp.oa.dedup;
import java.io.IOException; import java.io.IOException;
import java.util.Optional;
import org.apache.commons.io.IOUtils; import org.apache.commons.io.IOUtils;
import org.apache.spark.SparkConf; import org.apache.spark.SparkConf;
@ -23,8 +24,6 @@ import eu.dnetlib.dhp.utils.ISLookupClientFactory;
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpException; import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpException;
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpService; import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpService;
import eu.dnetlib.pace.config.DedupConfig; import eu.dnetlib.pace.config.DedupConfig;
import eu.dnetlib.pace.model.FieldListImpl;
import eu.dnetlib.pace.model.FieldValueImpl;
import eu.dnetlib.pace.model.MapDocument; import eu.dnetlib.pace.model.MapDocument;
import eu.dnetlib.pace.util.MapDocumentUtil; import eu.dnetlib.pace.util.MapDocumentUtil;
import scala.Tuple2; import scala.Tuple2;
@ -47,18 +46,12 @@ public class SparkBlockStats extends AbstractSparkAction {
parser.parseArgument(args); parser.parseArgument(args);
SparkConf conf = new SparkConf(); SparkConf conf = new SparkConf();
conf.set("spark.serializer", "org.apache.spark.serializer.KryoSerializer");
conf
.registerKryoClasses(
new Class[] {
MapDocument.class, FieldListImpl.class, FieldValueImpl.class, Block.class
});
new SparkBlockStats(parser, getSparkSession(conf)) new SparkBlockStats(parser, getSparkSession(conf))
.run(ISLookupClientFactory.getLookUpService(parser.get("isLookUpUrl"))); .run(ISLookupClientFactory.getLookUpService(parser.get("isLookUpUrl")));
} }
public Long computeComparisons(Long blockSize, Long slidingWindowSize){ public Long computeComparisons(Long blockSize, Long slidingWindowSize) {
if (slidingWindowSize >= blockSize) if (slidingWindowSize >= blockSize)
return (slidingWindowSize * (slidingWindowSize - 1)) / 2; return (slidingWindowSize * (slidingWindowSize - 1)) / 2;
@ -76,6 +69,10 @@ public class SparkBlockStats extends AbstractSparkAction {
final String isLookUpUrl = parser.get("isLookUpUrl"); final String isLookUpUrl = parser.get("isLookUpUrl");
final String actionSetId = parser.get("actionSetId"); final String actionSetId = parser.get("actionSetId");
final String workingPath = parser.get("workingPath"); final String workingPath = parser.get("workingPath");
final int numPartitions = Optional
.ofNullable(parser.get("numPartitions"))
.map(Integer::valueOf)
.orElse(NUM_PARTITIONS);
log.info("graphBasePath: '{}'", graphBasePath); log.info("graphBasePath: '{}'", graphBasePath);
log.info("isLookUpUrl: '{}'", isLookUpUrl); log.info("isLookUpUrl: '{}'", isLookUpUrl);
@ -95,6 +92,7 @@ public class SparkBlockStats extends AbstractSparkAction {
JavaPairRDD<String, MapDocument> mapDocuments = sc JavaPairRDD<String, MapDocument> mapDocuments = sc
.textFile(DedupUtility.createEntityPath(graphBasePath, subEntity)) .textFile(DedupUtility.createEntityPath(graphBasePath, subEntity))
.repartition(numPartitions)
.mapToPair( .mapToPair(
(PairFunction<String, String, MapDocument>) s -> { (PairFunction<String, String, MapDocument>) s -> {
MapDocument d = MapDocumentUtil.asMapDocumentWithJPath(dedupConf, s); MapDocument d = MapDocumentUtil.asMapDocumentWithJPath(dedupConf, s);
@ -105,6 +103,7 @@ public class SparkBlockStats extends AbstractSparkAction {
JavaPairRDD<String, Block> blocks = Deduper.createSortedBlocks(mapDocuments, dedupConf); JavaPairRDD<String, Block> blocks = Deduper.createSortedBlocks(mapDocuments, dedupConf);
JavaRDD<BlockStats> blockStats = blocks JavaRDD<BlockStats> blockStats = blocks
.repartition(numPartitions)
.map( .map(
b -> new BlockStats( b -> new BlockStats(
b._1(), b._1(),

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@ -35,8 +35,6 @@ public class SparkCreateSimRels extends AbstractSparkAction {
private static final Logger log = LoggerFactory.getLogger(SparkCreateSimRels.class); private static final Logger log = LoggerFactory.getLogger(SparkCreateSimRels.class);
public static final int NUM_PARTITIONS = 1000;
public SparkCreateSimRels(ArgumentApplicationParser parser, SparkSession spark) { public SparkCreateSimRels(ArgumentApplicationParser parser, SparkSession spark) {
super(parser, spark); super(parser, spark);
} }

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@ -22,5 +22,11 @@
"paramLongName": "workingPath", "paramLongName": "workingPath",
"paramDescription": "path of the working directory", "paramDescription": "path of the working directory",
"paramRequired": true "paramRequired": true
},
{
"paramName": "np",
"paramLongName": "numPartitions",
"paramDescription": "number of partitions for the similarity relations intermediate phases",
"paramRequired": false
} }
] ]

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@ -12,6 +12,10 @@
<name>actionSetId</name> <name>actionSetId</name>
<description>id of the actionSet</description> <description>id of the actionSet</description>
</property> </property>
<property>
<name>numPartitions</name>
<description>number of partitions for the similarity relations intermediate phases</description>
</property>
<property> <property>
<name>sparkDriverMemory</name> <name>sparkDriverMemory</name>
<description>memory for driver process</description> <description>memory for driver process</description>
@ -90,10 +94,11 @@
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir} --conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.shuffle.partitions=3840 --conf spark.sql.shuffle.partitions=3840
</spark-opts> </spark-opts>
<arg>--i</arg><arg>${graphBasePath}</arg> <arg>--graphBasePath</arg><arg>${graphBasePath}</arg>
<arg>--la</arg><arg>${isLookUpUrl}</arg> <arg>--isLookUpUrl</arg><arg>${isLookUpUrl}</arg>
<arg>--asi</arg><arg>${actionSetId}</arg> <arg>--actionSetId</arg><arg>${actionSetId}</arg>
<arg>--w</arg><arg>${workingDir}</arg> <arg>--workingPath</arg><arg>${workingDir}</arg>
<arg>--numPartitions</arg><arg>${numPartitions}</arg>
</spark> </spark>
<ok to="End"/> <ok to="End"/>
<error to="Kill"/> <error to="Kill"/>