forked from D-Net/dnet-hadoop
74 lines
3.3 KiB
Java
74 lines
3.3 KiB
Java
package eu.dnetlib.dhp;
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import java.io.File;
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import com.fasterxml.jackson.databind.ObjectMapper;
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import com.google.gson.Gson;
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import eu.dnetlib.dhp.application.ArgumentApplicationParser;
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import eu.dnetlib.dhp.community.CommunityConfiguration;
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import eu.dnetlib.dhp.community.ProtoMap;
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import eu.dnetlib.dhp.community.QueryInformationSystem;
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import eu.dnetlib.dhp.community.ResultTagger;
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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.io.Text;
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import org.apache.spark.api.java.JavaSparkContext;
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import org.apache.spark.sql.SparkSession;
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public class SparkBulkTagJob {
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public static void main(String[] args) throws Exception {
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final ArgumentApplicationParser parser = new ArgumentApplicationParser(IOUtils.toString(SparkBulkTagJob.class.getResourceAsStream("/eu/dnetlib/dhp/input_bulktag_parameters.json")));
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parser.parseArgument(args);
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final SparkSession spark = SparkSession
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.builder()
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.appName(SparkBulkTagJob.class.getSimpleName())
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.master(parser.get("master"))
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.enableHiveSupport()
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.getOrCreate();
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final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
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final String inputPath = parser.get("sourcePath");
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final String outputPath = "/tmp/provision/bulktagging";
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final ResultTagger resultTagger = new ResultTagger();
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ProtoMap protoMappingParams = new Gson().fromJson(parser.get("mappingProto"),ProtoMap.class);;
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File directory = new File(outputPath);
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if (!directory.exists()) {
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directory.mkdirs();
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}
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CommunityConfiguration cc = QueryInformationSystem.getCommunityConfiguration(parser.get("isLookupUrl"));
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sc.sequenceFile(inputPath + "/publication", Text.class, Text.class)
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.map(item -> new ObjectMapper().readValue(item._2().toString(), Publication.class))
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.map(p -> resultTagger.enrichContextCriteria(p, cc, protoMappingParams))
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.map(p -> new ObjectMapper().writeValueAsString(p))
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.saveAsTextFile(outputPath+"/publication");
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sc.sequenceFile(inputPath + "/dataset", Text.class, Text.class)
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.map(item -> new ObjectMapper().readValue(item._2().toString(), Dataset.class))
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.map(p -> resultTagger.enrichContextCriteria(p, cc, protoMappingParams))
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.map(p -> new ObjectMapper().writeValueAsString(p))
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.saveAsTextFile(outputPath+"/dataset");
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sc.sequenceFile(inputPath + "/software", Text.class, Text.class)
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.map(item -> new ObjectMapper().readValue(item._2().toString(), Software.class))
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.map(p -> resultTagger.enrichContextCriteria(p, cc, protoMappingParams))
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.map(p -> new ObjectMapper().writeValueAsString(p))
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.saveAsTextFile(outputPath+"/software");
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sc.sequenceFile(inputPath + "/otherresearchproduct", Text.class, Text.class)
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.map(item -> new ObjectMapper().readValue(item._2().toString(), OtherResearchProduct.class))
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.map(p -> resultTagger.enrichContextCriteria(p, cc, protoMappingParams))
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.map(p -> new ObjectMapper().writeValueAsString(p))
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.saveAsTextFile(outputPath+"/otherresearchproduct");
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}
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}
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