package eu.dnetlib.dhp.resulttoorganizationfrominstrepo; import static eu.dnetlib.dhp.PropagationConstant.*; import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkHiveSession; import org.apache.commons.io.IOUtils; import org.apache.hadoop.io.compress.GzipCodec; import org.apache.spark.SparkConf; import org.apache.spark.sql.Dataset; import org.apache.spark.sql.Encoders; import org.apache.spark.sql.SaveMode; import org.apache.spark.sql.SparkSession; 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.Datasource; import eu.dnetlib.dhp.schema.oaf.Organization; import eu.dnetlib.dhp.schema.oaf.Relation; public class PrepareResultInstRepoAssociation { private static final Logger log = LoggerFactory.getLogger(PrepareResultInstRepoAssociation.class); private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper(); public static void main(String[] args) throws Exception { String jsonConfiguration = IOUtils .toString( PrepareResultInstRepoAssociation.class .getResourceAsStream( "/eu/dnetlib/dhp/resulttoorganizationfrominstrepo/input_prepareresultorg_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 datasourceOrganizationPath = parser.get("datasourceOrganizationPath"); log.info("datasourceOrganizationPath {}: ", datasourceOrganizationPath); final String alreadyLinkedPath = parser.get("alreadyLinkedPath"); log.info("alreadyLinkedPath {}: ", alreadyLinkedPath); SparkConf conf = new SparkConf(); conf.set("hive.metastore.uris", parser.get("hive_metastore_uris")); runWithSparkHiveSession( conf, isSparkSessionManaged, spark -> { readNeededResources(spark, inputPath); prepareDatasourceOrganization(spark, datasourceOrganizationPath); prepareAlreadyLinkedAssociation(spark, alreadyLinkedPath); }); } private static void prepareAlreadyLinkedAssociation( SparkSession spark, String alreadyLinkedPath) { String query = "Select source resultId, collect_set(target) organizationSet " + "from relation " + "where datainfo.deletedbyinference = false " + "and relClass = '" + RELATION_RESULT_ORGANIZATION_REL_CLASS + "' " + "group by source"; spark .sql(query) .as(Encoders.bean(ResultOrganizationSet.class)) // TODO retry to stick with datasets .toJavaRDD() .map(r -> OBJECT_MAPPER.writeValueAsString(r)) .saveAsTextFile(alreadyLinkedPath, GzipCodec.class); } private static void readNeededResources(SparkSession spark, String inputPath) { Dataset datasource = readPath(spark, inputPath + "/datasource", Datasource.class); datasource.createOrReplaceTempView("datasource"); Dataset relation = readPath(spark, inputPath + "/relation", Relation.class); relation.createOrReplaceTempView("relation"); Dataset organization = readPath(spark, inputPath + "/organization", Organization.class); organization.createOrReplaceTempView("organization"); } private static void prepareDatasourceOrganization( SparkSession spark, String datasourceOrganizationPath) { String query = "SELECT source datasourceId, target organizationId " + "FROM ( SELECT id " + "FROM datasource " + "WHERE datasourcetype.classid = '" + INSTITUTIONAL_REPO_TYPE + "' " + "AND datainfo.deletedbyinference = false ) d " + "JOIN ( SELECT source, target " + "FROM relation " + "WHERE relclass = '" + RELATION_DATASOURCE_ORGANIZATION_REL_CLASS + "' " + "AND datainfo.deletedbyinference = false ) rel " + "ON d.id = rel.source "; spark .sql(query) .as(Encoders.bean(DatasourceOrganization.class)) .write() .mode(SaveMode.Overwrite) .option("compression", "gzip") .json(datasourceOrganizationPath); } }