code formatting

This commit is contained in:
Claudio Atzori 2020-07-16 19:06:56 +02:00
parent db8b90a156
commit 1781609508
1 changed files with 94 additions and 90 deletions

View File

@ -1,11 +1,11 @@
package eu.dnetlib.dhp.oa.graph.merge;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.common.HdfsSupport;
import eu.dnetlib.dhp.oa.graph.clean.CleanGraphSparkJob;
import eu.dnetlib.dhp.schema.common.ModelSupport;
import eu.dnetlib.dhp.schema.oaf.*;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import java.util.Objects;
import java.util.Optional;
import org.apache.commons.io.IOUtils;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.function.FilterFunction;
@ -16,13 +16,16 @@ 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.common.HdfsSupport;
import eu.dnetlib.dhp.oa.graph.clean.CleanGraphSparkJob;
import eu.dnetlib.dhp.schema.common.ModelSupport;
import eu.dnetlib.dhp.schema.oaf.*;
import scala.Tuple2;
import java.util.Objects;
import java.util.Optional;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
/**
* Combines the content from two aggregator graph tables of the same type, entities (or relationships) with the same ids
* are picked preferring those from the BETA aggregator rather then from PROD. The identity of a relationship is defined
@ -30,101 +33,102 @@ import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
*/
public class MergeGraphSparkJob {
private static final Logger log = LoggerFactory.getLogger(CleanGraphSparkJob.class);
private static final Logger log = LoggerFactory.getLogger(CleanGraphSparkJob.class);
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
public static void main(String[] args) throws Exception {
public static void main(String[] args) throws Exception {
String jsonConfiguration = IOUtils
.toString(
CleanGraphSparkJob.class
.getResourceAsStream(
"/eu/dnetlib/dhp/oa/graph/merge_graphs_parameters.json"));
final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
parser.parseArgument(args);
String jsonConfiguration = IOUtils
.toString(
CleanGraphSparkJob.class
.getResourceAsStream(
"/eu/dnetlib/dhp/oa/graph/merge_graphs_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);
Boolean isSparkSessionManaged = Optional
.ofNullable(parser.get("isSparkSessionManaged"))
.map(Boolean::valueOf)
.orElse(Boolean.TRUE);
log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
String betaInputPath = parser.get("betaInputPath");
log.info("betaInputPath: {}", betaInputPath);
String betaInputPath = parser.get("betaInputPath");
log.info("betaInputPath: {}", betaInputPath);
String prodInputPath = parser.get("prodInputPath");
log.info("prodInputPath: {}", prodInputPath);
String prodInputPath = parser.get("prodInputPath");
log.info("prodInputPath: {}", prodInputPath);
String outputPath = parser.get("outputPath");
log.info("outputPath: {}", outputPath);
String outputPath = parser.get("outputPath");
log.info("outputPath: {}", outputPath);
String graphTableClassName = parser.get("graphTableClassName");
log.info("graphTableClassName: {}", graphTableClassName);
String graphTableClassName = parser.get("graphTableClassName");
log.info("graphTableClassName: {}", graphTableClassName);
Class<? extends OafEntity> entityClazz = (Class<? extends OafEntity>) Class.forName(graphTableClassName);
Class<? extends OafEntity> entityClazz = (Class<? extends OafEntity>) Class.forName(graphTableClassName);
SparkConf conf = new SparkConf();
conf.set("spark.serializer", "org.apache.spark.serializer.KryoSerializer");
conf.registerKryoClasses(ModelSupport.getOafModelClasses());
SparkConf conf = new SparkConf();
conf.set("spark.serializer", "org.apache.spark.serializer.KryoSerializer");
conf.registerKryoClasses(ModelSupport.getOafModelClasses());
runWithSparkSession(
conf,
isSparkSessionManaged,
spark -> {
removeOutputDir(spark, outputPath);
mergeGraphTable(spark, betaInputPath, prodInputPath, entityClazz, entityClazz, outputPath);
});
}
runWithSparkSession(
conf,
isSparkSessionManaged,
spark -> {
removeOutputDir(spark, outputPath);
mergeGraphTable(spark, betaInputPath, prodInputPath, entityClazz, entityClazz, outputPath);
});
}
private static <P extends Oaf, B extends Oaf> void mergeGraphTable(
SparkSession spark,
String betaInputPath,
String prodInputPath,
Class<P> p_clazz,
Class<B> b_clazz,
String outputPath) {
private static <P extends Oaf, B extends Oaf> void mergeGraphTable(
SparkSession spark,
String betaInputPath,
String prodInputPath,
Class<P> p_clazz,
Class<B> b_clazz,
String outputPath) {
Dataset<Tuple2<String, B>> beta = readTableFromPath(spark, betaInputPath, b_clazz);
Dataset<Tuple2<String, P>> prod = readTableFromPath(spark, prodInputPath, p_clazz);
Dataset<Tuple2<String, B>> beta = readTableFromPath(spark, betaInputPath, b_clazz);
Dataset<Tuple2<String, P>> prod = readTableFromPath(spark, prodInputPath, p_clazz);
prod.joinWith(beta, prod.col("_1").equalTo(beta.col("_1")), "full_outer")
.map((MapFunction<Tuple2<Tuple2<String, P>, Tuple2<String, B>>, P>) value -> {
Optional<P> p = Optional.ofNullable(value._1()).map(Tuple2::_2);
Optional<B> b = Optional.ofNullable(value._2()).map(Tuple2::_2);
if (p.isPresent() & !b.isPresent()) {
return p.get();
}
if (b.isPresent()) {
return (P) b.get();
}
return null;
}, Encoders.bean(p_clazz))
.filter((FilterFunction<P>) Objects::nonNull)
.write()
.mode(SaveMode.Overwrite)
.option("compression", "gzip")
.json(outputPath);
}
prod
.joinWith(beta, prod.col("_1").equalTo(beta.col("_1")), "full_outer")
.map((MapFunction<Tuple2<Tuple2<String, P>, Tuple2<String, B>>, P>) value -> {
Optional<P> p = Optional.ofNullable(value._1()).map(Tuple2::_2);
Optional<B> b = Optional.ofNullable(value._2()).map(Tuple2::_2);
if (p.isPresent() & !b.isPresent()) {
return p.get();
}
if (b.isPresent()) {
return (P) b.get();
}
return null;
}, Encoders.bean(p_clazz))
.filter((FilterFunction<P>) Objects::nonNull)
.write()
.mode(SaveMode.Overwrite)
.option("compression", "gzip")
.json(outputPath);
}
private static <T extends Oaf> Dataset<Tuple2<String, T>> readTableFromPath(
SparkSession spark, String inputEntityPath, Class<T> clazz) {
private static <T extends Oaf> Dataset<Tuple2<String, T>> readTableFromPath(
SparkSession spark, String inputEntityPath, Class<T> clazz) {
log.info("Reading Graph table from: {}", inputEntityPath);
return spark
.read()
.textFile(inputEntityPath)
.map(
(MapFunction<String, Tuple2<String, T>>) value -> {
final T t = OBJECT_MAPPER.readValue(value, clazz);
final String id = ModelSupport.idFn().apply(t);
return new Tuple2<>(id, t);
},
Encoders.tuple(Encoders.STRING(), Encoders.kryo(clazz)));
}
log.info("Reading Graph table from: {}", inputEntityPath);
return spark
.read()
.textFile(inputEntityPath)
.map(
(MapFunction<String, Tuple2<String, T>>) value -> {
final T t = OBJECT_MAPPER.readValue(value, clazz);
final String id = ModelSupport.idFn().apply(t);
return new Tuple2<>(id, t);
},
Encoders.tuple(Encoders.STRING(), Encoders.kryo(clazz)));
}
private static void removeOutputDir(SparkSession spark, String path) {
HdfsSupport.remove(path, spark.sparkContext().hadoopConfiguration());
}
private static void removeOutputDir(SparkSession spark, String path) {
HdfsSupport.remove(path, spark.sparkContext().hadoopConfiguration());
}
}