mirror of https://github.com/apache/druid.git
Merge branch 'master' into igalDruid
This commit is contained in:
commit
8ef8dac639
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@ -152,14 +152,14 @@ public class IncrementalIndex implements Iterable<Row>
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}
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}
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final List<String> rowDimensions = row.getDimensions();
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final List<String> rowDimensions = row.getDimensions();
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String[][] dims = new String[dimensionOrder.size()][];
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String[][] dims;
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List<String[]> overflow = null;
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List<String[]> overflow = null;
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synchronized (dimensionOrder) {
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dims = new String[dimensionOrder.size()][];
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for (String dimension : rowDimensions) {
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for (String dimension : rowDimensions) {
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dimension = dimension.toLowerCase();
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dimension = dimension.toLowerCase();
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List<String> dimensionValues = row.getDimension(dimension);
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List<String> dimensionValues = row.getDimension(dimension);
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synchronized (dimensionOrder) {
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Integer index = dimensionOrder.get(dimension);
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Integer index = dimensionOrder.get(dimension);
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if (index == null) {
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if (index == null) {
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dimensionOrder.put(dimension, dimensionOrder.size());
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dimensionOrder.put(dimension, dimensionOrder.size());
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@ -175,6 +175,7 @@ public class IncrementalIndex implements Iterable<Row>
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}
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}
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}
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}
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if (overflow != null) {
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if (overflow != null) {
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// Merge overflow and non-overflow
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// Merge overflow and non-overflow
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String[][] newDims = new String[dims.length + overflow.size()][];
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String[][] newDims = new String[dims.length + overflow.size()][];
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@ -287,9 +288,10 @@ public class IncrementalIndex implements Iterable<Row>
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Aggregator[] prev = facts.putIfAbsent(key, aggs);
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Aggregator[] prev = facts.putIfAbsent(key, aggs);
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if (prev != null) {
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if (prev != null) {
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aggs = prev;
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aggs = prev;
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}
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} else {
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numEntries.incrementAndGet();
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numEntries.incrementAndGet();
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}
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}
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}
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synchronized (this) {
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synchronized (this) {
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in = row;
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in = row;
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@ -24,18 +24,59 @@ import io.druid.data.input.MapBasedInputRow;
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import io.druid.data.input.Row;
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import io.druid.data.input.Row;
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import io.druid.granularity.QueryGranularity;
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import io.druid.granularity.QueryGranularity;
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import io.druid.query.aggregation.AggregatorFactory;
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import io.druid.query.aggregation.AggregatorFactory;
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import io.druid.query.aggregation.CountAggregatorFactory;
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import io.druid.segment.incremental.IncrementalIndex;
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import io.druid.segment.incremental.IncrementalIndex;
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import junit.framework.Assert;
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import junit.framework.Assert;
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import org.junit.Test;
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import org.junit.Test;
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import java.util.ArrayList;
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import java.util.Arrays;
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import java.util.Arrays;
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import java.util.Iterator;
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import java.util.Iterator;
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import java.util.List;
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import java.util.concurrent.CountDownLatch;
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import java.util.concurrent.ExecutorService;
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import java.util.concurrent.Executors;
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import java.util.concurrent.TimeUnit;
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/**
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/**
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*/
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*/
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public class IncrementalIndexTest
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public class IncrementalIndexTest
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{
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{
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public static IncrementalIndex createCaseInsensitiveIndex(long timestamp)
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{
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IncrementalIndex index = new IncrementalIndex(0L, QueryGranularity.NONE, new AggregatorFactory[]{});
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index.add(
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new MapBasedInputRow(
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timestamp,
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Arrays.asList("Dim1", "DiM2"),
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ImmutableMap.<String, Object>of("dim1", "1", "dim2", "2", "DIM1", "3", "dIM2", "4")
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)
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);
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index.add(
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new MapBasedInputRow(
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timestamp,
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Arrays.asList("diM1", "dIM2"),
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ImmutableMap.<String, Object>of("Dim1", "1", "DiM2", "2", "dim1", "3", "dim2", "4")
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)
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);
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return index;
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}
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public static MapBasedInputRow getRow(long timestamp, int rowID, int dimensionCount)
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{
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List<String> dimensionList = new ArrayList<String>(dimensionCount);
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ImmutableMap.Builder<String, Object> builder = ImmutableMap.builder();
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for (int i = 0; i < dimensionCount; i++) {
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String dimName = String.format("Dim_%d", i);
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dimensionList.add(dimName);
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builder.put(dimName, dimName + rowID);
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}
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return new MapBasedInputRow(timestamp, dimensionList, builder.build());
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}
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@Test
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@Test
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public void testCaseInsensitivity() throws Exception
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public void testCaseInsensitivity() throws Exception
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{
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{
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@ -58,25 +99,52 @@ public class IncrementalIndexTest
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Assert.assertEquals(Arrays.asList("4"), row.getDimension("dim2"));
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Assert.assertEquals(Arrays.asList("4"), row.getDimension("dim2"));
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}
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}
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public static IncrementalIndex createCaseInsensitiveIndex(long timestamp)
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@Test
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public void testConcurrentAdd() throws Exception
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{
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{
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IncrementalIndex index = new IncrementalIndex(0L, QueryGranularity.NONE, new AggregatorFactory[]{});
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final IncrementalIndex index = new IncrementalIndex(
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0L,
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index.add(
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QueryGranularity.NONE,
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new MapBasedInputRow(
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new AggregatorFactory[]{new CountAggregatorFactory("count")}
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timestamp,
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Arrays.asList("Dim1", "DiM2"),
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ImmutableMap.<String, Object>of("dim1", "1", "dim2", "2", "DIM1", "3", "dIM2", "4")
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)
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);
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);
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final int threadCount = 10;
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index.add(
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final int elementsPerThread = 200;
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new MapBasedInputRow(
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final int dimensionCount = 5;
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timestamp,
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ExecutorService executor = Executors.newFixedThreadPool(threadCount);
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Arrays.asList("diM1", "dIM2"),
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final long timestamp = System.currentTimeMillis();
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ImmutableMap.<String, Object>of("Dim1", "1", "DiM2", "2", "dim1", "3", "dim2", "4")
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final CountDownLatch latch = new CountDownLatch(threadCount);
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)
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for (int j = 0; j < threadCount; j++) {
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);
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executor.submit(
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return index;
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new Runnable()
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{
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@Override
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public void run()
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{
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try {
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for (int i = 0; i < elementsPerThread; i++) {
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index.add(getRow(timestamp + i, i, dimensionCount));
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}
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}
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catch (Exception e) {
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e.printStackTrace();
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}
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latch.countDown();
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}
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}
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);
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}
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Assert.assertTrue(latch.await(60, TimeUnit.SECONDS));
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Assert.assertEquals(dimensionCount, index.getDimensions().size());
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Assert.assertEquals(elementsPerThread, index.size());
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Iterator<Row> iterator = index.iterator();
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int curr = 0;
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while (iterator.hasNext()) {
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Row row = iterator.next();
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Assert.assertEquals(timestamp + curr, row.getTimestampFromEpoch());
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Assert.assertEquals(Float.valueOf(threadCount), row.getFloatMetric("count"));
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curr++;
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}
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Assert.assertEquals(elementsPerThread, curr);
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}
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}
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}
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}
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