forked from D-Net/dnet-hadoop
94 lines
2.7 KiB
Java
94 lines
2.7 KiB
Java
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package eu.dnetlib.dhp.swh;
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import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkHiveSession;
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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.sql.Dataset;
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import org.apache.spark.sql.Row;
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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 eu.dnetlib.dhp.application.ArgumentApplicationParser;
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import eu.dnetlib.dhp.schema.oaf.Result;
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/**
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* Collects unique software repository URLs in the Graph using Hive
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*
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* @author Serafeim Chatzopoulos
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*/
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public class CollectSoftwareRepositoryURLs {
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private static final Logger log = LoggerFactory.getLogger(CollectSoftwareRepositoryURLs.class);
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public static <I extends Result> void main(String[] args) throws Exception {
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String jsonConfiguration = IOUtils
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.toString(
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CollectSoftwareRepositoryURLs.class
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.getResourceAsStream("/eu/dnetlib/dhp/swh/input_collect_software_repository_urls.json"));
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final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
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parser.parseArgument(args);
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final 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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final String hiveDbName = parser.get("hiveDbName");
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log.info("hiveDbName: {}", hiveDbName);
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final String outputPath = parser.get("softwareCodeRepositoryURLs");
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log.info("softwareCodeRepositoryURLs: {}", outputPath);
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final String hiveMetastoreUris = parser.get("hiveMetastoreUris");
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log.info("hiveMetastoreUris: {}", hiveMetastoreUris);
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final Integer softwareLimit = Integer.parseInt(parser.get("softwareLimit"));
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log.info("softwareLimit: {}", softwareLimit);
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SparkConf conf = new SparkConf();
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conf.set("hive.metastore.uris", hiveMetastoreUris);
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runWithSparkHiveSession(
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conf,
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isSparkSessionManaged,
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spark -> {
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doRun(spark, hiveDbName, softwareLimit, outputPath);
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});
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}
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private static <I extends Result> void doRun(SparkSession spark, String hiveDbName, Integer limit,
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String outputPath) {
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String queryTemplate = "SELECT distinct coderepositoryurl.value " +
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"FROM %s.software " +
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"WHERE coderepositoryurl.value IS NOT NULL " +
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"AND datainfo.deletedbyinference = FALSE " +
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"AND datainfo.invisible = FALSE ";
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if (limit != null) {
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queryTemplate += String.format("LIMIT %s", limit);
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}
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String query = String.format(queryTemplate, hiveDbName);
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log.info("Hive query to fetch software code URLs: {}", query);
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Dataset<Row> df = spark.sql(query);
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// write distinct repository URLs
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df
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.write()
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.mode(SaveMode.Overwrite)
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.csv(outputPath);
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}
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}
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