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new workflow and parameter for country propagation

This commit is contained in:
Miriam Baglioni 2020-05-07 09:59:58 +02:00
parent 5a476c7a13
commit 16193cf0ba
3 changed files with 335 additions and 22 deletions

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@ -1,4 +1,134 @@
package eu.dnetlib.dhp.countrypropagation;
import static eu.dnetlib.dhp.PropagationConstant.*;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkHiveSession;
import java.util.Arrays;
import java.util.stream.Collectors;
import org.apache.commons.io.IOUtils;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.function.MapFunction;
import org.apache.spark.sql.*;
import org.apache.spark.sql.Dataset;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.schema.oaf.*;
public class PrepareResultCountrySet {
private static final Logger log = LoggerFactory.getLogger(PrepareResultCountrySet.class);
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
public static void main(String[] args) throws Exception {
String jsonConfiguration = IOUtils
.toString(
SparkCountryPropagationJob2.class
.getResourceAsStream(
"/eu/dnetlib/dhp/countrypropagation/input_prepareresultcountry_parameters.json"));
final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
parser.parseArgument(args);
Boolean isSparkSessionManaged = isSparkSessionManaged(parser);
log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
String inputPath = parser.get("sourcePath");
log.info("inputPath: {}", inputPath);
final String datasourcecountrypath = parser.get("preparedInfoPath");
log.info("preparedInfoPath: {}", datasourcecountrypath);
final String resultClassName = parser.get("resultTableName");
log.info("resultTableName: {}", resultClassName);
Class<? extends Result> resultClazz = (Class<? extends Result>) Class.forName(resultClassName);
SparkConf conf = new SparkConf();
conf.set("hive.metastore.uris", parser.get("hive_metastore_uris"));
runWithSparkHiveSession(
conf,
isSparkSessionManaged,
spark -> {
getPotentialResultToUpdate(
spark,
inputPath,
datasourcecountrypath,
resultClazz);
});
}
private static <R extends Result> void getPotentialResultToUpdate(
SparkSession spark,
String inputPath,
String datasourcecountrypath,
Class<R> resultClazz) {
Dataset<R> result = readPathEntity(spark, inputPath, resultClazz);
result.createOrReplaceTempView("result");
// log.info("number of results: {}", result.count());
createCfHbforresult(spark);
Dataset<DatasourceCountry> datasourcecountryassoc = readAssocDatasourceCountry(spark, datasourcecountrypath);
countryPropagationAssoc(spark, datasourcecountryassoc)
.map((MapFunction<ResultCountrySet, R>) value -> {
R ret = resultClazz.newInstance();
ret.setId(value.getResultId());
ret
.setCountry(
value
.getCountrySet()
.stream()
.map(c -> getCountry(c.getClassid(), c.getClassname()))
.collect(Collectors.toList()));
return ret;
}, Encoders.bean(resultClazz))
.write()
.option("compression", "gzip")
.mode(SaveMode.Append)
.json(inputPath);
}
private static Dataset<ResultCountrySet> countryPropagationAssoc(
SparkSession spark,
Dataset<DatasourceCountry> datasource_country) {
// Dataset<DatasourceCountry> datasource_country = broadcast_datasourcecountryassoc.value();
datasource_country.createOrReplaceTempView("datasource_country");
log.info("datasource_country number : {}", datasource_country.count());
String query = "SELECT id resultId, collect_set(country) countrySet "
+ "FROM ( SELECT id, country "
+ "FROM datasource_country "
+ "JOIN cfhb "
+ " ON cf = dataSourceId "
+ "UNION ALL "
+ "SELECT id , country "
+ "FROM datasource_country "
+ "JOIN cfhb "
+ " ON hb = dataSourceId ) tmp "
+ "GROUP BY id";
Dataset<ResultCountrySet> potentialUpdates = spark
.sql(query)
.as(Encoders.bean(ResultCountrySet.class));
// log.info("potential update number : {}", potentialUpdates.count());
return potentialUpdates;
}
private static Dataset<DatasourceCountry> readAssocDatasourceCountry(
SparkSession spark, String relationPath) {
return spark
.read()
.textFile(relationPath)
.map(
value -> OBJECT_MAPPER.readValue(value, DatasourceCountry.class),
Encoders.bean(DatasourceCountry.class));
}
}

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@ -9,7 +9,7 @@
"paramName":"h",
"paramLongName":"hive_metastore_uris",
"paramDescription": "the hive metastore uris",
"paramRequired": true
"paramRequired": false
},
{
"paramName":"sg",
@ -33,7 +33,7 @@
"paramName": "p",
"paramLongName": "preparedInfoPath",
"paramDescription": "the path where prepared info have been stored",
"paramRequired": true
"paramRequired": false
},
{
"paramName": "ssm",

View File

@ -27,6 +27,10 @@
<action name="reset-outputpath">
<fs>
<delete path='${workingDir}/preparedInfo'/>
<delete path='${workingDir}/publication'/>
<delete path='${workingDir}/dataset'/>
<delete path='${workingDir}/otherresearchproduct'/>
<delete path='${workingDir}/software'/>
<delete path='${outputPath}/relation'/>
<delete path='${outputPath}/dataset'/>
<delete path='${outputPath}/software'/>
@ -45,6 +49,10 @@
<path start="copy_organization"/>
<path start="copy_projects"/>
<path start="copy_datasources"/>
<path start="copy_publication"/>
<path start="copy_dataset"/>
<path start="copy_orp"/>
<path start="copy_software"/>
</fork>
<action name="copy_relation">
<distcp xmlns="uri:oozie:distcp-action:0.2">
@ -89,6 +97,50 @@
<error to="Kill"/>
</action>
<action name="copy_publication">
<distcp xmlns="uri:oozie:distcp-action:0.2">
<job-tracker>${jobTracker}</job-tracker>
<name-node>${nameNode}</name-node>
<arg>${nameNode}/${sourcePath}/publication</arg>
<arg>${nameNode}/${workingDir}/publication</arg>
</distcp>
<ok to="copy_wait"/>
<error to="Kill"/>
</action>
<action name="copy_dataset">
<distcp xmlns="uri:oozie:distcp-action:0.2">
<job-tracker>${jobTracker}</job-tracker>
<name-node>${nameNode}</name-node>
<arg>${nameNode}/${sourcePath}/dataset</arg>
<arg>${nameNode}/${workingDir}/dataset</arg>
</distcp>
<ok to="copy_wait"/>
<error to="Kill"/>
</action>
<action name="copy_orp">
<distcp xmlns="uri:oozie:distcp-action:0.2">
<job-tracker>${jobTracker}</job-tracker>
<name-node>${nameNode}</name-node>
<arg>${nameNode}/${sourcePath}/otherresearchproduct</arg>
<arg>${nameNode}/${workingDir}/otherresearchproduct</arg>
</distcp>
<ok to="copy_wait"/>
<error to="Kill"/>
</action>
<action name="copy_software">
<distcp xmlns="uri:oozie:distcp-action:0.2">
<job-tracker>${jobTracker}</job-tracker>
<name-node>${nameNode}</name-node>
<arg>${nameNode}/${sourcePath}/software</arg>
<arg>${nameNode}/${workingDir}/software</arg>
</distcp>
<ok to="copy_wait"/>
<error to="Kill"/>
</action>
<join name="copy_wait" to="prepare_datasource_country_association"/>
<action name="prepare_datasource_country_association">
@ -113,9 +165,139 @@
<arg>--hive_metastore_uris</arg><arg>${hive_metastore_uris}</arg>
<arg>--outputPath</arg><arg>${workingDir}/preparedInfo</arg>
</spark>
<ok to="fork_join_apply_country_propagation"/>
<ok to="fork_join_prepare_result_country"/>
<error to="Kill"/>
</action>
<fork name="fork_join_prepare_result_country">
<path start="join_prepareresult_publication"/>
<path start="join_prepareresult_dataset"/>
<path start="join_prepareresult_otherresearchproduct"/>
<path start="join_prepareresult_software"/>
</fork>
<action name="join_prepareresult_publication">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>prepareResultCountry-Publication</name>
<class>eu.dnetlib.dhp.countrypropagation.PrepareResultCountrySet</class>
<jar>dhp-propagation-${projectVersion}.jar</jar>
<spark-opts>
--executor-cores=${sparkExecutorCores}
--executor-memory=${sparkExecutorMemory}
--driver-memory=${sparkDriverMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.dynamicAllocation.enabled=true
--conf spark.dynamicAllocation.maxExecutors=${spark2MaxExecutors}
--conf spark.speculation=false
--conf spark.hadoop.mapreduce.map.speculative=false
--conf spark.hadoop.mapreduce.reduce.speculative=false
</spark-opts>
<arg>--sourcePath</arg><arg>${workingDir}/publication</arg>
<arg>--hive_metastore_uris</arg><arg>${hive_metastore_uris}</arg>
<arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.Publication</arg>
<arg>--preparedInfoPath</arg><arg>${workingDir}/preparedInfo</arg>
</spark>
<ok to="wait_prepare"/>
<error to="Kill"/>
</action>
<action name="join_prepareresult_dataset">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>prepareResultCountry-Dataset</name>
<class>eu.dnetlib.dhp.countrypropagation.PrepareResultCountrySet</class>
<jar>dhp-propagation-${projectVersion}.jar</jar>
<spark-opts>
--executor-cores=${sparkExecutorCores}
--executor-memory=${sparkExecutorMemory}
--driver-memory=${sparkDriverMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.dynamicAllocation.enabled=true
--conf spark.dynamicAllocation.maxExecutors=${spark2MaxExecutors}
--conf spark.speculation=false
--conf spark.hadoop.mapreduce.map.speculative=false
--conf spark.hadoop.mapreduce.reduce.speculative=false
</spark-opts>
<arg>--sourcePath</arg><arg>${workingDir}/dataset</arg>
<arg>--hive_metastore_uris</arg><arg>${hive_metastore_uris}</arg>
<arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.Dataset</arg>
<arg>--preparedInfoPath</arg><arg>${workingDir}/preparedInfo</arg>
</spark>
<ok to="wait_prepare"/>
<error to="Kill"/>
</action>
<action name="join_prepareresult_otherresearchproduct">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>prepareResultCountry-ORP</name>
<class>eu.dnetlib.dhp.countrypropagation.PrepareResultCountrySet</class>
<jar>dhp-propagation-${projectVersion}.jar</jar>
<spark-opts>
--executor-cores=${sparkExecutorCores}
--executor-memory=${sparkExecutorMemory}
--driver-memory=${sparkDriverMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.dynamicAllocation.enabled=true
--conf spark.dynamicAllocation.maxExecutors=${spark2MaxExecutors}
--conf spark.speculation=false
--conf spark.hadoop.mapreduce.map.speculative=false
--conf spark.hadoop.mapreduce.reduce.speculative=false
</spark-opts>
<arg>--sourcePath</arg><arg>${workingDir}/otherresearchproduct</arg>
<arg>--hive_metastore_uris</arg><arg>${hive_metastore_uris}</arg>
<arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.OtherResearchProduct</arg>
<arg>--preparedInfoPath</arg><arg>${workingDir}/preparedInfo</arg>
</spark>
<ok to="wait_prepare"/>
<error to="Kill"/>
</action>
<action name="join_prepareresult_software">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>prepareResultCountry-Software</name>
<class>eu.dnetlib.dhp.countrypropagation.PrepareResultCountrySet</class>
<jar>dhp-propagation-${projectVersion}.jar</jar>
<spark-opts>
--executor-cores=${sparkExecutorCores}
--executor-memory=${sparkExecutorMemory}
--driver-memory=${sparkDriverMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.dynamicAllocation.enabled=true
--conf spark.dynamicAllocation.maxExecutors=${spark2MaxExecutors}
--conf spark.speculation=false
--conf spark.hadoop.mapreduce.map.speculative=false
--conf spark.hadoop.mapreduce.reduce.speculative=false
</spark-opts>
<arg>--sourcePath</arg><arg>${workingDir}/software</arg>
<arg>--hive_metastore_uris</arg><arg>${hive_metastore_uris}</arg>
<arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.Software</arg>
<arg>--preparedInfoPath</arg><arg>${workingDir}/preparedInfo</arg>
</spark>
<ok to="wait_prepare"/>
<error to="Kill"/>
</action>
<join name="wait_prepare" to="fork_join_apply_country_propagation"/>
<fork name="fork_join_apply_country_propagation">
<path start="join_propagation_publication"/>
<path start="join_propagation_dataset"/>
@ -128,26 +310,27 @@
<master>yarn</master>
<mode>cluster</mode>
<name>countryPropagationForPublications</name>
<class>eu.dnetlib.dhp.countrypropagation.SparkCountryPropagationJob2</class>
<class>eu.dnetlib.dhp.countrypropagation.SparkCountryPropagationJob3</class>
<jar>dhp-propagation-${projectVersion}.jar</jar>
<spark-opts>
--executor-cores=${sparkExecutorCores}
--executor-memory=${sparkExecutorMemory}
<!-- &#45;&#45;executor-cores=${sparkExecutorCores}-->
<!-- &#45;&#45;executor-memory=${sparkExecutorMemory}-->
--driver-memory=${sparkDriverMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.dynamicAllocation.enabled=true
--conf spark.dynamicAllocation.maxExecutors=${spark2MaxExecutors}
<!-- &#45;&#45;conf spark.dynamicAllocation.maxExecutors=${spark2MaxExecutors}-->
--conf spark.speculation=false
--conf spark.hadoop.mapreduce.map.speculative=false
--conf spark.hadoop.mapreduce.reduce.speculative=false
--conf spark.sql.shuffle.partitions=3840
</spark-opts>
<arg>--sourcePath</arg><arg>${sourcePath}/publication</arg>
<arg>--hive_metastore_uris</arg><arg>${hive_metastore_uris}</arg>
<arg>--sourcePath</arg><arg>${workingDir}/publication</arg>
<arg>--saveGraph</arg><arg>${saveGraph}</arg>
<arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.Publication</arg>
<arg>--outputPath</arg><arg>${outputPath}/publication</arg>
<arg>--preparedInfoPath</arg><arg>${workingDir}/preparedInfo</arg>
</spark>
<ok to="wait"/>
<error to="Kill"/>
@ -158,7 +341,7 @@
<master>yarn</master>
<mode>cluster</mode>
<name>countryPropagationForDataset</name>
<class>eu.dnetlib.dhp.countrypropagation.SparkCountryPropagationJob2</class>
<class>eu.dnetlib.dhp.countrypropagation.SparkCountryPropagationJob3</class>
<jar>dhp-propagation-${projectVersion}.jar</jar>
<spark-opts>
--executor-cores=${sparkExecutorCores}
@ -171,13 +354,13 @@
--conf spark.dynamicAllocation.enabled=true
--conf spark.dynamicAllocation.maxExecutors=${spark2MaxExecutors}
--conf spark.speculation=false
--conf spark.hadoop.mapreduce.map.speculative=false
--conf spark.hadoop.mapreduce.reduce.speculative=false
</spark-opts>
<arg>--sourcePath</arg><arg>${sourcePath}/dataset</arg>
<arg>--hive_metastore_uris</arg><arg>${hive_metastore_uris}</arg>
<arg>--sourcePath</arg><arg>${workingDir}/dataset</arg>
<arg>--saveGraph</arg><arg>${saveGraph}</arg>
<arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.Dataset</arg>
<arg>--outputPath</arg><arg>${outputPath}/dataset</arg>
<arg>--preparedInfoPath</arg><arg>${workingDir}/preparedInfo</arg>
</spark>
<ok to="wait"/>
<error to="Kill"/>
@ -188,7 +371,7 @@
<master>yarn</master>
<mode>cluster</mode>
<name>countryPropagationForORP</name>
<class>eu.dnetlib.dhp.countrypropagation.SparkCountryPropagationJob2</class>
<class>eu.dnetlib.dhp.countrypropagation.SparkCountryPropagationJob3</class>
<jar>dhp-propagation-${projectVersion}.jar</jar>
<spark-opts>
--executor-cores=${sparkExecutorCores}
@ -201,13 +384,13 @@
--conf spark.dynamicAllocation.enabled=true
--conf spark.dynamicAllocation.maxExecutors=${spark2MaxExecutors}
--conf spark.speculation=false
--conf spark.hadoop.mapreduce.map.speculative=false
--conf spark.hadoop.mapreduce.reduce.speculative=false
</spark-opts>
<arg>--sourcePath</arg><arg>${sourcePath}/otherresearchproduct</arg>
<arg>--hive_metastore_uris</arg><arg>${hive_metastore_uris}</arg>
<arg>--sourcePath</arg><arg>${workingDir}/otherresearchproduct</arg>
<arg>--saveGraph</arg><arg>${saveGraph}</arg>
<arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.OtherResearchProduct</arg>
<arg>--outputPath</arg><arg>${outputPath}/otherresearchproduct</arg>
<arg>--preparedInfoPath</arg><arg>${workingDir}/preparedInfo</arg>
</spark>
<ok to="wait"/>
<error to="Kill"/>
@ -218,7 +401,7 @@
<master>yarn</master>
<mode>cluster</mode>
<name>countryPropagationForSoftware</name>
<class>eu.dnetlib.dhp.countrypropagation.SparkCountryPropagationJob2</class>
<class>eu.dnetlib.dhp.countrypropagation.SparkCountryPropagationJob3</class>
<jar>dhp-propagation-${projectVersion}.jar</jar>
<spark-opts>
--executor-cores=${sparkExecutorCores}
@ -231,13 +414,13 @@
--conf spark.dynamicAllocation.enabled=true
--conf spark.dynamicAllocation.maxExecutors=${spark2MaxExecutors}
--conf spark.speculation=false
--conf spark.hadoop.mapreduce.map.speculative=false
--conf spark.hadoop.mapreduce.reduce.speculative=false
</spark-opts>
<arg>--sourcePath</arg><arg>${sourcePath}/software</arg>
<arg>--hive_metastore_uris</arg><arg>${hive_metastore_uris}</arg>
<arg>--sourcePath</arg><arg>${workingDir}/software</arg>
<arg>--saveGraph</arg><arg>${saveGraph}</arg>
<arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.Software</arg>
<arg>--outputPath</arg><arg>${outputPath}/software</arg>
<arg>--preparedInfoPath</arg><arg>${workingDir}/preparedInfo</arg>
</spark>
<ok to="wait"/>
<error to="Kill"/>