forked from D-Net/dnet-hadoop
step of data preparation before actual country propagation will take palce
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6897c920a2
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@ -5,6 +5,7 @@ import eu.dnetlib.dhp.application.ArgumentApplicationParser;
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import eu.dnetlib.dhp.schema.oaf.*;
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import org.apache.commons.io.IOUtils;
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import org.apache.hadoop.fs.FileSystem;
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import org.apache.hadoop.io.compress.GzipCodec;
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import org.apache.spark.SparkConf;
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import org.apache.spark.api.java.JavaSparkContext;
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import org.apache.spark.sql.Dataset;
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@ -14,14 +15,14 @@ import org.apache.spark.sql.SaveMode;
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import java.util.Arrays;
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import java.util.List;
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import java.util.Optional;
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import static eu.dnetlib.dhp.PropagationConstant.createOutputDirs;
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import static eu.dnetlib.dhp.PropagationConstant.getConstraintList;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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import static eu.dnetlib.dhp.PropagationConstant.*;
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import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkHiveSession;
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/**
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* For the association of the country to the datasource
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* The association is computed only for datasource of specific type or having whitelisted ids
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@ -30,48 +31,50 @@ import org.slf4j.LoggerFactory;
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*/
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public class PrepareDatasourceCountryAssociation {
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private static final Logger log = LoggerFactory.getLogger(PrepareDatasourceCountryAssociation.class);
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private static final Logger log = LoggerFactory.getLogger(PrepareDatasourceCountryAssociation.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.toString(PrepareDatasourceCountryAssociation.class
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.getResourceAsStream("/eu/dnetlib/dhp/countrypropagation/input_prepare_dc_assoc.json"));
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.getResourceAsStream("/eu/dnetlib/dhp/countrypropagation/input_prepareassoc_parameters.json"));
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final ArgumentApplicationParser parser = new ArgumentApplicationParser(
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jsonConfiguration);
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parser.parseArgument(args);
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Boolean isSparkSessionManaged = isSparkSessionManaged(parser);
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log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
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String inputPath = parser.get("sourcePath");
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log.info("inputPath: {}", inputPath);
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final String outputPath = parser.get("outputPath");
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log.info("outputPath {}: ", outputPath);
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SparkConf conf = new SparkConf();
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conf.set("hive.metastore.uris", parser.get("hive_metastore_uris"));
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final SparkSession spark = SparkSession
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.builder()
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.appName(SparkCountryPropagationJob.class.getSimpleName())
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.master(parser.get("master"))
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.config(conf)
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.enableHiveSupport()
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.getOrCreate();
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final String outputPath = "/tmp/provision/propagation/countrytoresultfrominstitutionalrepositories";
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createOutputDirs(outputPath, FileSystem.get(spark.sparkContext().hadoopConfiguration()));
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runWithSparkHiveSession(conf, isSparkSessionManaged,
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spark -> {
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removeOutputDir(spark, outputPath);
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prepareDatasourceCountryAssociation(spark,
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Arrays.asList(parser.get("whitelist").split(";")),
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Arrays.asList(parser.get("allowedtypes").split(";")),
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inputPath,
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outputPath);
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});
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}
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private static void prepareDatasourceCountryAssociation(SparkSession spark,
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List<String> whitelist,
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List<String> allowedtypes,
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@ -97,7 +100,7 @@ public class PrepareDatasourceCountryAssociation {
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relation.createOrReplaceTempView("relation");
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organization.createOrReplaceTempView("organization");
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String query = "SELECT source ds, named_struct('classid', country.classid, 'classname', country.classname) country " +
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String query = "SELECT source dataSourceId, named_struct('classid', country.classid, 'classname', country.classname) country " +
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"FROM ( SELECT id " +
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" FROM datasource " +
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" WHERE (datainfo.deletedbyinference = false " + whitelisted + ") " +
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@ -115,9 +118,9 @@ public class PrepareDatasourceCountryAssociation {
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spark.sql(query)
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.as(Encoders.bean(DatasourceCountry.class))
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.write()
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.mode(SaveMode.Overwrite)
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.parquet(outputPath + "/prepared_datasource_country");
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.toJavaRDD()
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.map(c -> OBJECT_MAPPER.writeValueAsString(c))
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.saveAsTextFile(outputPath, GzipCodec.class);
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}
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