package eu.dnetlib.dhp.blacklist; import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession; import java.util.Optional; 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.apache.spark.sql.Encoders; 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.Relation; public class SparkRemoveBlacklistedRelationJob { private static final Logger log = LoggerFactory.getLogger(SparkRemoveBlacklistedRelationJob.class); private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper(); public static void main(String[] args) throws Exception { String jsonConfiguration = IOUtils .toString( SparkRemoveBlacklistedRelationJob.class .getResourceAsStream( "/eu/dnetlib/dhp/blacklist/sparkblacklist_parameters.json")); final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration); parser.parseArgument(args); Boolean isSparkSessionManaged = Optional .ofNullable(parser.get("isSparkSessionManaged")) .map(Boolean::valueOf) .orElse(Boolean.TRUE); log.info("isSparkSessionManaged: {}", isSparkSessionManaged); String inputPath = parser.get("sourcePath"); log.info("inputPath: {}", inputPath); final String outputPath = parser.get("outputPath"); log.info("outputPath {}: ", outputPath); final String blacklistPath = parser.get("hdfsPath"); log.info("blacklistPath {}: ", blacklistPath); final String mergesPath = parser.get("mergesPath"); log.info("mergesPath {}: ", mergesPath); SparkConf conf = new SparkConf(); runWithSparkSession( conf, isSparkSessionManaged, spark -> { removeBlacklistedRelations( spark, inputPath, blacklistPath, outputPath, mergesPath); }); } private static void removeBlacklistedRelations(SparkSession spark, String blacklistPath, String inputPath, String outputPath, String mergesPath) { Dataset blackListed = readRelations(spark, blacklistPath); Dataset inputRelation = readRelations(spark, inputPath); Dataset mergesRelation = readRelations(spark, mergesPath); Dataset dedupSource = blackListed .joinWith(mergesRelation, blackListed.col("source").equalTo(mergesRelation.col("target")), "left_outer") .map(c -> { Optional merged = Optional.ofNullable(c._2()); Relation bl = c._1(); if (merged.isPresent()) { bl.setSource(merged.get().getSource()); } return bl; }, Encoders.bean(Relation.class)); Dataset dedupBL = dedupSource .joinWith(mergesRelation, dedupSource.col("target").equalTo(mergesRelation.col("target")), "left_outer") .map(c -> { Optional merged = Optional.ofNullable(c._2()); Relation bl = c._1(); if (merged.isPresent()) { bl.setTarget(merged.get().getSource()); } return bl; }, Encoders.bean(Relation.class)); inputRelation .joinWith(dedupBL, inputRelation.col("source").equalTo(dedupBL.col("source")), "left_outer") .map(c -> { Relation ir = c._1(); Optional obl = Optional.ofNullable(c._2()); if (obl.isPresent()) { if (ir.equals(obl.get())) { return null; } } return ir; }, Encoders.bean(Relation.class)) .filter(r -> !(r == null)) .toJSON() .write() .mode(SaveMode.Overwrite) .option("conpression", "gzip") .text(outputPath); } public static org.apache.spark.sql.Dataset readRelations( SparkSession spark, String inputPath) { return spark .read() .textFile(inputPath) .map( (MapFunction) value -> OBJECT_MAPPER.readValue(value, Relation.class), Encoders.bean(Relation.class)); } }