forked from D-Net/dnet-hadoop
67 lines
2.5 KiB
Java
67 lines
2.5 KiB
Java
package eu.dnetlib.dhp.provision;
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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.provision.scholix.Scholix;
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import eu.dnetlib.dhp.provision.scholix.summary.ScholixSummary;
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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.JavaRDD;
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import org.apache.spark.api.java.JavaSparkContext;
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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.SparkSession;
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import org.elasticsearch.spark.rdd.api.java.JavaEsSpark;
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import java.nio.file.attribute.AclFileAttributeView;
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import java.util.HashMap;
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import java.util.Map;
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public class SparkIndexCollectionOnES {
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public static void main(String[] args) throws Exception{
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final ArgumentApplicationParser parser = new ArgumentApplicationParser(IOUtils.toString(SparkIndexCollectionOnES.class.getResourceAsStream("/eu/dnetlib/dhp/provision/index_on_es.json")));
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parser.parseArgument(args);
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SparkConf conf = new SparkConf().setAppName(SparkIndexCollectionOnES.class.getSimpleName())
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.setMaster(parser.get("master"));
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conf.set("spark.sql.shuffle.partitions","4000");
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final String sourcePath = parser.get("sourcePath");
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final String index = parser.get("index");
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final String idPath = parser.get("idPath");
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final String type = parser.get("type");
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final SparkSession spark = SparkSession.builder().config(conf).getOrCreate();
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final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
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JavaRDD<String> inputRdd;
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if("summary".equalsIgnoreCase(type))
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inputRdd = spark.read().load(sourcePath).as(Encoders.bean(ScholixSummary.class)).map((MapFunction<ScholixSummary, String>) f -> {
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final ObjectMapper mapper = new ObjectMapper();
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return mapper.writeValueAsString(f);
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}, Encoders.STRING()).javaRDD();
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else
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inputRdd = sc.textFile(sourcePath);
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Map<String, String> esCfg = new HashMap<>();
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esCfg.put("es.nodes", "10.19.65.51, 10.19.65.52, 10.19.65.53, 10.19.65.54");
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esCfg.put("es.mapping.id", idPath);
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esCfg.put("es.batch.write.retry.count", "8");
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esCfg.put("es.batch.write.retry.wait", "60s");
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esCfg.put("es.batch.size.entries", "200");
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esCfg.put("es.nodes.wan.only", "true");
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JavaEsSpark.saveJsonToEs(inputRdd,index, esCfg);
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}
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}
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