forked from D-Net/dnet-hadoop
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110 lines
3.4 KiB
Java
110 lines
3.4 KiB
Java
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package eu.dnetlib.dhp.oa.graph.clean;
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import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
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import java.util.Optional;
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import org.apache.commons.io.IOUtils;
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import org.apache.spark.SparkConf;
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import org.apache.spark.api.java.function.MapFunction;
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import org.apache.spark.sql.Dataset;
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import org.apache.spark.sql.Encoders;
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import org.apache.spark.sql.SaveMode;
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import org.apache.spark.sql.SparkSession;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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import com.fasterxml.jackson.databind.ObjectMapper;
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import eu.dnetlib.dhp.application.ArgumentApplicationParser;
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import eu.dnetlib.dhp.common.HdfsSupport;
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import eu.dnetlib.dhp.oa.graph.raw.common.VocabularyGroup;
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import eu.dnetlib.dhp.schema.oaf.*;
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import eu.dnetlib.dhp.utils.ISLookupClientFactory;
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import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpService;
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public class CleanGraphSparkJob {
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private static final Logger log = LoggerFactory.getLogger(CleanGraphSparkJob.class);
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private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
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public static void main(String[] args) throws Exception {
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String jsonConfiguration = IOUtils
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.toString(
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CleanGraphSparkJob.class
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.getResourceAsStream(
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"/eu/dnetlib/dhp/oa/graph/input_clean_graph_parameters.json"));
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final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
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parser.parseArgument(args);
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Boolean isSparkSessionManaged = Optional
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.ofNullable(parser.get("isSparkSessionManaged"))
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.map(Boolean::valueOf)
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.orElse(Boolean.TRUE);
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log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
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String inputPath = parser.get("inputPath");
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log.info("inputPath: {}", inputPath);
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String outputPath = parser.get("outputPath");
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log.info("outputPath: {}", outputPath);
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String isLookupUrl = parser.get("isLookupUrl");
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log.info("isLookupUrl: {}", isLookupUrl);
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String graphTableClassName = parser.get("graphTableClassName");
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log.info("graphTableClassName: {}", graphTableClassName);
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Class<? extends OafEntity> entityClazz = (Class<? extends OafEntity>) Class.forName(graphTableClassName);
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final ISLookUpService isLookupService = ISLookupClientFactory.getLookUpService(isLookupUrl);
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final VocabularyGroup vocs = VocabularyGroup.loadVocsFromIS(isLookupService);
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SparkConf conf = new SparkConf();
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runWithSparkSession(
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conf,
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isSparkSessionManaged,
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spark -> {
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removeOutputDir(spark, outputPath);
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fixGraphTable(spark, vocs, inputPath, entityClazz, outputPath);
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});
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}
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private static <T extends Oaf> void fixGraphTable(
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SparkSession spark,
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VocabularyGroup vocs,
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String inputPath,
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Class<T> clazz,
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String outputPath) {
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final CleaningRuleMap mapping = CleaningRuleMap.create(vocs);
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readTableFromPath(spark, inputPath, clazz)
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.map((MapFunction<T, T>) value -> OafCleaner.apply(value, mapping), Encoders.bean(clazz))
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.write()
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.mode(SaveMode.Overwrite)
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.option("compression", "gzip")
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.json(outputPath);
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}
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private static <T extends Oaf> Dataset<T> readTableFromPath(
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SparkSession spark, String inputEntityPath, Class<T> clazz) {
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log.info("Reading Graph table from: {}", inputEntityPath);
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return spark
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.read()
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.textFile(inputEntityPath)
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.map(
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(MapFunction<String, T>) value -> OBJECT_MAPPER.readValue(value, clazz),
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Encoders.bean(clazz));
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}
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private static void removeOutputDir(SparkSession spark, String path) {
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HdfsSupport.remove(path, spark.sparkContext().hadoopConfiguration());
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}
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}
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