forked from D-Net/dnet-hadoop
[UsageCount] refactoring
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@ -9,7 +9,6 @@ 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 eu.dnetlib.dhp.schema.action.AtomicAction;
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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.hadoop.mapred.SequenceFileOutputFormat;
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@ -27,6 +26,7 @@ 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.schema.action.AtomicAction;
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import eu.dnetlib.dhp.schema.common.ModelConstants;
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import eu.dnetlib.dhp.schema.oaf.DataInfo;
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import eu.dnetlib.dhp.schema.oaf.Measure;
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@ -8,7 +8,6 @@ import java.nio.file.Files;
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import java.nio.file.Path;
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import java.util.stream.Collectors;
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import eu.dnetlib.dhp.schema.action.AtomicAction;
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import org.apache.commons.io.FileUtils;
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import org.apache.hadoop.io.Text;
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import org.apache.spark.SparkConf;
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@ -24,6 +23,7 @@ import org.slf4j.LoggerFactory;
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import com.fasterxml.jackson.databind.ObjectMapper;
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import eu.dnetlib.dhp.schema.action.AtomicAction;
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import eu.dnetlib.dhp.schema.oaf.Result;
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public class SparkAtomicActionCountJobTest {
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@ -75,13 +75,13 @@ public class SparkAtomicActionCountJobTest {
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final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
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JavaRDD<Result> tmp = sc.sequenceFile(workingDir.toString() + "/actionSet", Text.class, Text.class)
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JavaRDD<Result> tmp = sc
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.sequenceFile(workingDir.toString() + "/actionSet", Text.class, Text.class)
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.map(usm -> OBJECT_MAPPER.readValue(usm._2.getBytes(), AtomicAction.class))
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.map(aa -> (Result) aa.getPayload());
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Assertions.assertEquals(9, tmp.count());
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tmp.foreach(r -> Assertions.assertEquals(2, r.getMeasures().size()));
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tmp
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.foreach(
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