dnet-hadoop/dhp-workflows/dhp-propagation/src/main/java/eu/dnetlib/dhp/countrypropagation/SparkCountryPropagationJob3...

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package eu.dnetlib.dhp.countrypropagation;
import static eu.dnetlib.dhp.PropagationConstant.*;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import java.util.*;
import java.util.function.Function;
import java.util.stream.Collectors;
import org.apache.commons.io.IOUtils;
import org.apache.hadoop.io.compress.GzipCodec;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaPairRDD;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.api.java.function.MapFunction;
import org.apache.spark.api.java.function.MapGroupsFunction;
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.common.ModelSupport;
import eu.dnetlib.dhp.schema.oaf.Country;
import eu.dnetlib.dhp.schema.oaf.KeyValue;
import eu.dnetlib.dhp.schema.oaf.Result;
import scala.Tuple2;
public class SparkCountryPropagationJob3 {
private static final Logger log = LoggerFactory.getLogger(SparkCountryPropagationJob3.class);
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
public static void main(String[] args) throws Exception {
String jsonConfiguration = IOUtils
.toString(
SparkCountryPropagationJob3.class
.getResourceAsStream(
"/eu/dnetlib/dhp/countrypropagation/input_countrypropagation_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 outputPath = parser.get("outputPath");
log.info("outputPath: {}", outputPath);
final String resultClassName = parser.get("resultTableName");
log.info("resultTableName: {}", resultClassName);
final Boolean saveGraph = Optional
.ofNullable(parser.get("saveGraph"))
.map(Boolean::valueOf)
.orElse(Boolean.TRUE);
log.info("saveGraph: {}", saveGraph);
Class<? extends Result> resultClazz = (Class<? extends Result>) Class.forName(resultClassName);
SparkConf conf = new SparkConf();
runWithSparkSession(
conf,
isSparkSessionManaged,
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spark -> execPropagation(
spark,
inputPath,
outputPath,
resultClazz,
saveGraph));
}
private static <R extends Result> void execPropagation(
SparkSession spark,
String inputPath,
String outputPath,
Class<R> resultClazz,
boolean saveGraph) {
if (saveGraph) {
// updateResultTable(spark, potentialUpdates, inputPath, resultClazz, outputPath);
log.info("Reading Graph table from: {}", inputPath);
spark
.read()
.json(inputPath)
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.as(Encoders.bean(resultClazz))
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.groupByKey((MapFunction<R, String>) r -> r.getId(), Encoders.STRING())
.mapGroups(getCountryMergeFn(resultClazz), Encoders.bean(resultClazz))
.write()
.option("compression", "gzip")
.mode(SaveMode.Overwrite)
.json(outputPath);
}
}
private static <R extends Result> MapGroupsFunction<String, R, R> getCountryMergeFn(Class<R> resultClazz) {
return (MapGroupsFunction<String, R, R>) (key, values) -> {
R res = resultClazz.newInstance();
List<Country> countries = new ArrayList<>();
values.forEachRemaining(r -> {
res.mergeFrom(r);
countries.addAll(r.getCountry());
});
res
.setCountry(
countries
.stream()
.collect(
Collectors
.toMap(
Country::getClassid,
Function.identity(),
(c1, c2) -> {
if (Optional
.ofNullable(
c1.getDataInfo().getInferenceprovenance())
.isPresent()) {
return c2;
}
return c1;
}))
.values()
.stream()
.collect(Collectors.toList()));
return res;
};
}
}