Merge branch 'master' of code-repo.d4science.org:D-Net/dnet-hadoop
This commit is contained in:
commit
7a2a466161
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@ -18,13 +18,13 @@ public class GraphMappingUtils {
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public final static Map<String, Class> types = Maps.newHashMap();
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static {
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types.put("datasource", Datasource.class);
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types.put("organization", Organization.class);
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types.put("datasource", Datasource.class);
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types.put("organization", Organization.class);
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types.put("project", Project.class);
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types.put("dataset", Dataset.class);
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types.put("otherresearchproduct", OtherResearchProduct.class);
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types.put("software", Software.class);
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types.put("publication", Publication.class);
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types.put("dataset", Dataset.class);
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types.put("otherresearchproduct", OtherResearchProduct.class);
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types.put("software", Software.class);
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types.put("publication", Publication.class);
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types.put("relation", Relation.class);
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}
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@ -15,30 +15,35 @@ public class SparkGraphImporterJob {
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final ArgumentApplicationParser parser = new ArgumentApplicationParser(IOUtils.toString(SparkGraphImporterJob.class.getResourceAsStream("/eu/dnetlib/dhp/graph/input_graph_parameters.json")));
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parser.parseArgument(args);
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final SparkSession spark = SparkSession
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try(SparkSession spark = getSparkSession(parser)) {
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final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
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final String inputPath = parser.get("sourcePath");
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final String hiveDbName = parser.get("hive_db_name");
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spark.sql(String.format("DROP DATABASE IF EXISTS %s CASCADE", hiveDbName));
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spark.sql(String.format("CREATE DATABASE IF NOT EXISTS %s", hiveDbName));
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// Read the input file and convert it into RDD of serializable object
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GraphMappingUtils.types.forEach((name, clazz) -> {
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spark.createDataset(sc.sequenceFile(inputPath + "/" + name, Text.class, Text.class)
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.map(s -> new ObjectMapper().readValue(s._2().toString(), clazz))
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.rdd(), Encoders.bean(clazz))
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.write()
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.mode(SaveMode.Overwrite)
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.saveAsTable(hiveDbName + "." + name);
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});
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}
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}
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private static SparkSession getSparkSession(ArgumentApplicationParser parser) {
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return SparkSession
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.builder()
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.appName(SparkGraphImporterJob.class.getSimpleName())
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.master(parser.get("master"))
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.config("hive.metastore.uris", parser.get("hive_metastore_uris"))
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.enableHiveSupport()
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.getOrCreate();
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final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
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final String inputPath = parser.get("sourcePath");
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final String hiveDbName = parser.get("hive_db_name");
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spark.sql(String.format("DROP DATABASE IF EXISTS %s CASCADE", hiveDbName));
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spark.sql(String.format("CREATE DATABASE IF NOT EXISTS %s", hiveDbName));
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// Read the input file and convert it into RDD of serializable object
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GraphMappingUtils.types.forEach((name, clazz) -> {
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spark.createDataset(sc.sequenceFile(inputPath + "/" + name, Text.class, Text.class)
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.map(s -> new ObjectMapper().readValue(s._2().toString(), clazz))
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.rdd(), Encoders.bean(clazz))
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.write()
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.mode(SaveMode.Overwrite)
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.saveAsTable(hiveDbName + "." + name);
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});
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}
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}
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@ -0,0 +1,8 @@
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CREATE view result as
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select id, dateofcollection, bestaccessright, datainfo, collectedfrom, pid, author, resulttype, language, country, subject, description, dateofacceptance, embargoenddate, resourcetype, context, instance from ${hive_db_name}.publication p
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union all
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select id, dateofcollection, bestaccessright, datainfo, collectedfrom, pid, author, resulttype, language, country, subject, description, dateofacceptance, embargoenddate, resourcetype, context, instance from ${hive_db_name}.dataset d
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union all
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select id, dateofcollection, bestaccessright, datainfo, collectedfrom, pid, author, resulttype, language, country, subject, description, dateofacceptance, embargoenddate, resourcetype, context, instance from ${hive_db_name}.software s
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union all
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select id, dateofcollection, bestaccessright, datainfo, collectedfrom, pid, author, resulttype, language, country, subject, description, dateofacceptance, embargoenddate, resourcetype, context, instance from ${hive_db_name}.otherresearchproduct o;
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@ -37,12 +37,29 @@
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<name>MapGraphIntoDataFrame</name>
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<class>eu.dnetlib.dhp.graph.SparkGraphImporterJob</class>
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<jar>dhp-graph-mapper-${projectVersion}.jar</jar>
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<spark-opts>--executor-memory ${sparkExecutorMemory} --executor-cores ${sparkExecutorCores} --driver-memory=${sparkDriverMemory} --conf spark.extraListeners="com.cloudera.spark.lineage.NavigatorAppListener" --conf spark.sql.queryExecutionListeners="com.cloudera.spark.lineage.NavigatorQueryListener" --conf spark.sql.warehouse.dir="/user/hive/warehouse"</spark-opts>
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<spark-opts>
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--executor-memory ${sparkExecutorMemory}
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--executor-cores ${sparkExecutorCores}
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--driver-memory=${sparkDriverMemory}
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--conf spark.extraListeners="com.cloudera.spark.lineage.NavigatorAppListener"
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--conf spark.sql.queryExecutionListeners="com.cloudera.spark.lineage.NavigatorQueryListener"
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--conf spark.sql.warehouse.dir="/user/hive/warehouse"</spark-opts>
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<arg>-mt</arg> <arg>yarn-cluster</arg>
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<arg>--sourcePath</arg><arg>${sourcePath}</arg>
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<arg>--hive_db_name</arg><arg>${hive_db_name}</arg>
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<arg>--hive_metastore_uris</arg><arg>${hive_metastore_uris}</arg>
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</spark>
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<ok to="PostProcessing"/>
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<error to="Kill"/>
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</action>
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<action name="PostProcessing">
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<hive xmlns="uri:oozie:hive-action:0.2">
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<job-tracker>${jobTracker}</job-tracker>
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<name-node>${nameNode}</name-node>
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<script>/eu/dnetlib/dhp/graph/hive/postprocessing.sql</script>
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<param>hive_db_name=${hive_db_name}</param>
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</hive>
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<ok to="End"/>
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<error to="Kill"/>
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</action>
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@ -50,9 +50,9 @@
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<class>eu.dnetlib.dhp.graph.SparkXmlRecordBuilderJob</class>
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<jar>dhp-graph-provision-${projectVersion}.jar</jar>
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<spark-opts>
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--executor-memory ${sparkExecutorMemory}
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--executor-cores ${sparkExecutorCores}
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--driver-memory=${sparkDriverMemory}
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--executor-cores ${sparkExecutorCoresForJoining}
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--executor-memory ${sparkExecutorMemoryForJoining}
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--driver-memory=${sparkDriverMemoryForJoining}
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--conf spark.dynamicAllocation.maxExecutors=${sparkExecutorCoresForJoining}
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--conf spark.extraListeners="com.cloudera.spark.lineage.NavigatorAppListener"
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--conf spark.sql.queryExecutionListeners="com.cloudera.spark.lineage.NavigatorQueryListener"
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@ -79,8 +79,9 @@
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<class>eu.dnetlib.dhp.graph.SparkXmlIndexingJob</class>
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<jar>dhp-graph-provision-${projectVersion}.jar</jar>
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<spark-opts>
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--executor-memory ${sparkExecutorMemory}
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--driver-memory=${sparkDriverMemory}
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--executor-cores ${sparkExecutorCoresForIndexing}
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--executor-memory ${sparkExecutorMemoryForIndexing}
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--driver-memory=${sparkDriverMemoryForIndexing}
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--conf spark.dynamicAllocation.maxExecutors=${sparkExecutorCoresForIndexing}
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--conf spark.extraListeners="com.cloudera.spark.lineage.NavigatorAppListener"
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--conf spark.sql.queryExecutionListeners="com.cloudera.spark.lineage.NavigatorQueryListener"
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