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null handling for doubles sketch and array of doubles sketch aggs (#9112)
* doubles sketch and array of doubles sketch aggs now skip rows with nulls in sql compatible null handling mode * formatting
This commit is contained in:
Clint Wylie
Jonathan Wei
parent
14702429a0
commit
7af85250cb
@ -43,6 +43,9 @@ public class DoublesSketchBuildAggregator implements Aggregator
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@Override
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public synchronized void aggregate()
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{
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if (valueSelector.isNull()) {
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return;
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}
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sketch.update(valueSelector.getDouble());
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}
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@ -62,6 +62,9 @@ public class DoublesSketchBuildBufferAggregator implements BufferAggregator
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@Override
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public synchronized void aggregate(final ByteBuffer buffer, final int position)
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{
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if (selector.isNull()) {
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return;
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}
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final UpdateDoublesSketch sketch = sketches.get(buffer).get(position);
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sketch.update(selector.getDouble());
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}
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@ -68,7 +68,11 @@ public class ArrayOfDoublesSketchBuildAggregator implements Aggregator
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{
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final IndexedInts keys = keySelector.getRow();
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for (int i = 0; i < valueSelectors.length; i++) {
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values[i] = valueSelectors[i].getDouble();
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if (valueSelectors[i].isNull()) {
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return;
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} else {
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values[i] = valueSelectors[i].getDouble();
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}
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}
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synchronized (this) {
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for (int i = 0, keysSize = keys.size(); i < keysSize; i++) {
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@ -89,7 +89,11 @@ public class ArrayOfDoublesSketchBuildBufferAggregator implements BufferAggregat
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public void aggregate(final ByteBuffer buf, final int position)
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{
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for (int i = 0; i < valueSelectors.length; i++) {
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values[i] = valueSelectors[i].getDouble();
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if (valueSelectors[i].isNull()) {
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return;
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} else {
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values[i] = valueSelectors[i].getDouble();
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}
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}
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final IndexedInts keys = keySelector.getRow();
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// Wrapping memory and ArrayOfDoublesSketch is inexpensive compared to sketch operations.
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@ -20,6 +20,7 @@
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package org.apache.druid.query.aggregation.datasketches.quantiles;
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import com.fasterxml.jackson.databind.ObjectMapper;
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import org.apache.druid.common.config.NullHandling;
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import org.apache.druid.jackson.DefaultObjectMapper;
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import org.apache.druid.java.util.common.granularity.Granularities;
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import org.apache.druid.java.util.common.guava.Sequence;
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@ -28,6 +29,7 @@ import org.apache.druid.query.aggregation.AggregatorFactory;
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import org.apache.druid.query.groupby.GroupByQueryConfig;
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import org.apache.druid.query.groupby.GroupByQueryRunnerTest;
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import org.apache.druid.query.groupby.ResultRow;
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import org.apache.druid.testing.InitializedNullHandlingTest;
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import org.junit.After;
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import org.junit.Assert;
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import org.junit.Rule;
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@ -43,7 +45,7 @@ import java.util.Collection;
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import java.util.List;
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@RunWith(Parameterized.class)
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public class DoublesSketchAggregatorTest
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public class DoublesSketchAggregatorTest extends InitializedNullHandlingTest
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{
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private final AggregationTestHelper helper;
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@ -211,11 +213,12 @@ public class DoublesSketchAggregatorTest
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" \"dimensionExclusions\": [ \"sequenceNumber\"],",
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" \"spatialDimensions\": []",
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" },",
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" \"columns\": [\"timestamp\", \"sequenceNumber\", \"product\", \"value\"]",
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" \"columns\": [\"timestamp\", \"sequenceNumber\", \"product\", \"value\", \"valueWithNulls\"]",
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" }",
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"}"
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),
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"[{\"type\": \"quantilesDoublesSketch\", \"name\": \"sketch\", \"fieldName\": \"value\", \"k\": 128}]",
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"[{\"type\": \"quantilesDoublesSketch\", \"name\": \"sketch\", \"fieldName\": \"value\", \"k\": 128},"
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+ "{\"type\": \"quantilesDoublesSketch\", \"name\": \"sketchWithNulls\", \"fieldName\": \"valueWithNulls\", \"k\": 128}]",
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0, // minTimestamp
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Granularities.NONE,
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10, // maxRowCount
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@ -228,11 +231,14 @@ public class DoublesSketchAggregatorTest
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" \"dimensions\": [],",
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" \"aggregations\": [",
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" {\"type\": \"quantilesDoublesSketch\", \"name\": \"sketch\", \"fieldName\": \"sketch\", \"k\": 128},",
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" {\"type\": \"quantilesDoublesSketch\", \"name\": \"sketchWithNulls\", \"fieldName\": \"sketchWithNulls\", \"k\": 128},",
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" {\"type\": \"quantilesDoublesSketch\", \"name\": \"non_existent_sketch\", \"fieldName\": \"non_existent_sketch\", \"k\": 128}",
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" ],",
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" \"postAggregations\": [",
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" {\"type\": \"quantilesDoublesSketchToQuantiles\", \"name\": \"quantiles\", \"fractions\": [0, 0.5, 1], \"field\": {\"type\": \"fieldAccess\", \"fieldName\": \"sketch\"}},",
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" {\"type\": \"quantilesDoublesSketchToHistogram\", \"name\": \"histogram\", \"splitPoints\": [0.25, 0.5, 0.75], \"field\": {\"type\": \"fieldAccess\", \"fieldName\": \"sketch\"}}",
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" {\"type\": \"quantilesDoublesSketchToHistogram\", \"name\": \"histogram\", \"splitPoints\": [0.25, 0.5, 0.75], \"field\": {\"type\": \"fieldAccess\", \"fieldName\": \"sketch\"}},",
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" {\"type\": \"quantilesDoublesSketchToQuantiles\", \"name\": \"quantilesWithNulls\", \"fractions\": [0, 0.5, 1], \"field\": {\"type\": \"fieldAccess\", \"fieldName\": \"sketchWithNulls\"}},",
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" {\"type\": \"quantilesDoublesSketchToHistogram\", \"name\": \"histogramWithNulls\", \"splitPoints\": [6.25, 7.5, 8.75], \"field\": {\"type\": \"fieldAccess\", \"fieldName\": \"sketchWithNulls\"}}",
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" ],",
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" \"intervals\": [\"2016-01-01T00:00:00.000Z/2016-01-31T00:00:00.000Z\"]",
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"}"
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@ -247,8 +253,13 @@ public class DoublesSketchAggregatorTest
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long sketchValue = (long) sketchObject;
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Assert.assertEquals(400, sketchValue);
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Object sketchObjectWithNulls = row.get(1);
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Assert.assertTrue(sketchObjectWithNulls instanceof Long);
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long sketchValueWithNulls = (long) sketchObjectWithNulls;
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Assert.assertEquals(377, sketchValueWithNulls);
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// post agg
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Object quantilesObject = row.get(2);
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Object quantilesObject = row.get(3);
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Assert.assertTrue(quantilesObject instanceof double[]);
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double[] quantiles = (double[]) quantilesObject;
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Assert.assertEquals(0, quantiles[0], 0.05); // min value
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@ -256,13 +267,30 @@ public class DoublesSketchAggregatorTest
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Assert.assertEquals(1, quantiles[2], 0.05); // max value
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// post agg
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Object histogramObject = row.get(3);
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Object histogramObject = row.get(4);
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Assert.assertTrue(histogramObject instanceof double[]);
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double[] histogram = (double[]) histogramObject;
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Assert.assertEquals(4, histogram.length);
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for (final double bin : histogram) {
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Assert.assertEquals(100, bin, 100 * 0.2); // 400 items uniformly distributed into 4 bins
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}
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// post agg with nulls
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Object quantilesObjectWithNulls = row.get(5);
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Assert.assertTrue(quantilesObjectWithNulls instanceof double[]);
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double[] quantilesWithNulls = (double[]) quantilesObjectWithNulls;
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Assert.assertEquals(5.0, quantilesWithNulls[0], 0.05); // min value
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Assert.assertEquals(7.55, quantilesWithNulls[1], 0.05); // median value
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Assert.assertEquals(10.0, quantilesWithNulls[2], 0.05); // max value
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// post agg with nulls
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Object histogramObjectWithNulls = row.get(6);
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Assert.assertTrue(histogramObjectWithNulls instanceof double[]);
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double[] histogramWithNulls = (double[]) histogramObjectWithNulls;
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Assert.assertEquals(4, histogramWithNulls.length);
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for (final double bin : histogramWithNulls) {
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Assert.assertEquals(100, bin, 50); // distribution is skewed due to nulls
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}
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}
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@Test
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@ -282,11 +310,12 @@ public class DoublesSketchAggregatorTest
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" \"dimensionExclusions\": [],",
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" \"spatialDimensions\": []",
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" },",
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" \"columns\": [\"timestamp\", \"sequenceNumber\", \"product\", \"value\"]",
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" \"columns\": [\"timestamp\", \"sequenceNumber\", \"product\", \"value\", \"valueWithNulls\"]",
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" }",
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"}"
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),
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"[{\"type\": \"doubleSum\", \"name\": \"value\", \"fieldName\": \"value\"}]",
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"[{\"type\": \"doubleSum\", \"name\": \"value\", \"fieldName\": \"value\"},"
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+ "{\"type\": \"doubleSum\", \"name\": \"valueWithNulls\", \"fieldName\": \"valueWithNulls\"}]",
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0, // minTimestamp
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Granularities.NONE,
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10, // maxRowCount
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@ -298,12 +327,16 @@ public class DoublesSketchAggregatorTest
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" \"granularity\": \"ALL\",",
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" \"dimensions\": [],",
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" \"aggregations\": [",
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" {\"type\": \"quantilesDoublesSketch\", \"name\": \"sketch\", \"fieldName\": \"value\", \"k\": 128}",
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" {\"type\": \"quantilesDoublesSketch\", \"name\": \"sketch\", \"fieldName\": \"value\", \"k\": 128},",
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" {\"type\": \"quantilesDoublesSketch\", \"name\": \"sketchWithNulls\", \"fieldName\": \"valueWithNulls\", \"k\": 128}",
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" ],",
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" \"postAggregations\": [",
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" {\"type\": \"quantilesDoublesSketchToQuantile\", \"name\": \"quantile\", \"fraction\": 0.5, \"field\": {\"type\": \"fieldAccess\", \"fieldName\": \"sketch\"}},",
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" {\"type\": \"quantilesDoublesSketchToQuantiles\", \"name\": \"quantiles\", \"fractions\": [0, 0.5, 1], \"field\": {\"type\": \"fieldAccess\", \"fieldName\": \"sketch\"}},",
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" {\"type\": \"quantilesDoublesSketchToHistogram\", \"name\": \"histogram\", \"splitPoints\": [0.25, 0.5, 0.75], \"field\": {\"type\": \"fieldAccess\", \"fieldName\": \"sketch\"}}",
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" {\"type\": \"quantilesDoublesSketchToHistogram\", \"name\": \"histogram\", \"splitPoints\": [0.25, 0.5, 0.75], \"field\": {\"type\": \"fieldAccess\", \"fieldName\": \"sketch\"}},",
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" {\"type\": \"quantilesDoublesSketchToQuantile\", \"name\": \"quantileWithNulls\", \"fraction\": 0.5, \"field\": {\"type\": \"fieldAccess\", \"fieldName\": \"sketchWithNulls\"}},",
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" {\"type\": \"quantilesDoublesSketchToQuantiles\", \"name\": \"quantilesWithNulls\", \"fractions\": [0, 0.5, 1], \"field\": {\"type\": \"fieldAccess\", \"fieldName\": \"sketchWithNulls\"}},",
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" {\"type\": \"quantilesDoublesSketchToHistogram\", \"name\": \"histogramWithNulls\", \"splitPoints\": [6.25, 7.5, 8.75], \"field\": {\"type\": \"fieldAccess\", \"fieldName\": \"sketchWithNulls\"}}",
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" ],",
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" \"intervals\": [\"2016-01-01T00:00:00.000Z/2016-01-31T00:00:00.000Z\"]",
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"}"
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@ -318,13 +351,18 @@ public class DoublesSketchAggregatorTest
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long sketchValue = (long) sketchObject;
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Assert.assertEquals(400, sketchValue);
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Object sketchObjectWithNulls = row.get(1);
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Assert.assertTrue(sketchObjectWithNulls instanceof Long);
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long sketchValueWithNulls = (long) sketchObjectWithNulls;
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Assert.assertEquals(NullHandling.replaceWithDefault() ? 400 : 377, sketchValueWithNulls);
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// post agg
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Object quantileObject = row.get(1);
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Object quantileObject = row.get(2);
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Assert.assertTrue(quantileObject instanceof Double);
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Assert.assertEquals(0.5, (double) quantileObject, 0.05); // median value
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// post agg
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Object quantilesObject = row.get(2);
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Object quantilesObject = row.get(3);
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Assert.assertTrue(quantilesObject instanceof double[]);
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double[] quantiles = (double[]) quantilesObject;
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Assert.assertEquals(0, quantiles[0], 0.05); // min value
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@ -332,13 +370,35 @@ public class DoublesSketchAggregatorTest
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Assert.assertEquals(1, quantiles[2], 0.05); // max value
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// post agg
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Object histogramObject = row.get(3);
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Object histogramObject = row.get(4);
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Assert.assertTrue(histogramObject instanceof double[]);
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double[] histogram = (double[]) histogramObject;
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for (final double bin : histogram) {
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Assert.assertEquals(100, bin, 100 * 0.2); // 400 items uniformly
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// distributed into 4 bins
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}
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// post agg with nulls
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Object quantileObjectWithNulls = row.get(5);
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Assert.assertTrue(quantileObjectWithNulls instanceof Double);
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Assert.assertEquals(NullHandling.replaceWithDefault() ? 7.4 : 7.5, (double) quantileObjectWithNulls, 0.1); // median value
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// post agg with nulls
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Object quantilesObjectWithNulls = row.get(6);
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Assert.assertTrue(quantilesObjectWithNulls instanceof double[]);
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double[] quantilesWithNulls = (double[]) quantilesObjectWithNulls;
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Assert.assertEquals(NullHandling.replaceWithDefault() ? 0.0 : 5.0, quantilesWithNulls[0], 0.05); // min value
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Assert.assertEquals(NullHandling.replaceWithDefault() ? 7.4 : 7.5, quantilesWithNulls[1], 0.1); // median value
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Assert.assertEquals(10.0, quantilesWithNulls[2], 0.05); // max value
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// post agg with nulls
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Object histogramObjectWithNulls = row.get(7);
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Assert.assertTrue(histogramObjectWithNulls instanceof double[]);
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double[] histogramWithNulls = (double[]) histogramObjectWithNulls;
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for (final double bin : histogramWithNulls) {
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Assert.assertEquals(100, bin, 80); // distribution is skewed due to nulls/0s
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// distributed into 4 bins
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}
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}
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@Test
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@ -20,6 +20,7 @@
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package org.apache.druid.query.aggregation.datasketches.tuple;
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import org.apache.datasketches.quantiles.DoublesSketch;
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import org.apache.druid.common.config.NullHandling;
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import org.apache.druid.initialization.DruidModule;
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import org.apache.druid.java.util.common.granularity.Granularities;
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import org.apache.druid.java.util.common.guava.Sequence;
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@ -27,6 +28,7 @@ import org.apache.druid.query.aggregation.AggregationTestHelper;
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import org.apache.druid.query.groupby.GroupByQueryConfig;
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import org.apache.druid.query.groupby.GroupByQueryRunnerTest;
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import org.apache.druid.query.groupby.ResultRow;
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import org.apache.druid.testing.InitializedNullHandlingTest;
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import org.junit.After;
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import org.junit.Assert;
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import org.junit.Rule;
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@ -42,13 +44,11 @@ import java.util.Collection;
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import java.util.List;
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@RunWith(Parameterized.class)
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public class ArrayOfDoublesSketchAggregationTest
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public class ArrayOfDoublesSketchAggregationTest extends InitializedNullHandlingTest
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{
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private final AggregationTestHelper helper;
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@Rule
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public final TemporaryFolder tempFolder = new TemporaryFolder();
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private final AggregationTestHelper helper;
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public ArrayOfDoublesSketchAggregationTest(final GroupByQueryConfig config)
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{
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@ -63,7 +63,7 @@ public class ArrayOfDoublesSketchAggregationTest
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{
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final List<Object[]> constructors = new ArrayList<>();
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for (GroupByQueryConfig config : GroupByQueryRunnerTest.testConfigs()) {
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constructors.add(new Object[] {config});
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constructors.add(new Object[]{config});
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}
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return constructors;
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}
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@ -79,7 +79,8 @@ public class ArrayOfDoublesSketchAggregationTest
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{
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Sequence<ResultRow> seq = helper.createIndexAndRunQueryOnSegment(
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new File(this.getClass().getClassLoader().getResource("tuple/array_of_doubles_sketch_data.tsv").getFile()),
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String.join("\n",
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String.join(
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"\n",
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"{",
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" \"type\": \"string\",",
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" \"parseSpec\": {",
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@ -92,16 +93,20 @@ public class ArrayOfDoublesSketchAggregationTest
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" },",
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" \"columns\": [\"timestamp\", \"product\", \"sketch\"]",
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" }",
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"}"),
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String.join("\n",
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"}"
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),
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String.join(
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"\n",
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"[",
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" {\"type\": \"arrayOfDoublesSketch\", \"name\": \"sketch\", \"fieldName\": \"sketch\", \"nominalEntries\": 1024},",
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" {\"type\": \"arrayOfDoublesSketch\", \"name\": \"non_existing_sketch\", \"fieldName\": \"non_existing_sketch\"}",
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"]"),
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"]"
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),
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0, // minTimestamp
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Granularities.NONE,
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10, // maxRowCount
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String.join("\n",
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String.join(
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"\n",
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"{",
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" \"queryType\": \"groupBy\",",
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" \"dataSource\": \"test_datasource\",",
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@ -137,7 +142,9 @@ public class ArrayOfDoublesSketchAggregationTest
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" }}",
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" ],",
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" \"intervals\": [\"2015-01-01T00:00:00.000Z/2015-01-31T00:00:00.000Z\"]",
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"}"));
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"}"
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)
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);
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List<ResultRow> results = seq.toList();
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Assert.assertEquals(1, results.size());
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ResultRow row = results.get(0);
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@ -161,8 +168,9 @@ public class ArrayOfDoublesSketchAggregationTest
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{
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Sequence<ResultRow> seq = helper.createIndexAndRunQueryOnSegment(
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new File(this.getClass().getClassLoader().getResource("tuple/array_of_doubles_sketch_data_two_values.tsv")
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.getFile()),
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String.join("\n",
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.getFile()),
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String.join(
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"\n",
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"{",
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" \"type\": \"string\",",
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" \"parseSpec\": {",
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@ -175,15 +183,19 @@ public class ArrayOfDoublesSketchAggregationTest
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" },",
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" \"columns\": [\"timestamp\", \"product\", \"sketch\"]",
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" }",
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"}"),
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String.join("\n",
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"}"
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),
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String.join(
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"\n",
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"[",
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" {\"type\": \"arrayOfDoublesSketch\", \"name\": \"sketch\", \"fieldName\": \"sketch\", \"nominalEntries\": 1024, \"numberOfValues\": 2}",
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"]"),
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"]"
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),
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0, // minTimestamp
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Granularities.NONE,
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10, // maxRowCount
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String.join("\n",
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String.join(
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"\n",
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"{",
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" \"queryType\": \"groupBy\",",
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" \"dataSource\": \"test_datasource\",",
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@ -224,7 +236,9 @@ public class ArrayOfDoublesSketchAggregationTest
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" }",
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" ],",
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" \"intervals\": [\"2015-01-01T00:00:00.000Z/2015-01-31T00:00:00.000Z\"]",
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"}"));
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"}"
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)
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);
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List<ResultRow> results = seq.toList();
|
||||
Assert.assertEquals(1, results.size());
|
||||
ResultRow row = results.get(0);
|
||||
@ -254,7 +268,8 @@ public class ArrayOfDoublesSketchAggregationTest
|
||||
{
|
||||
Sequence<ResultRow> seq = helper.createIndexAndRunQueryOnSegment(
|
||||
new File(this.getClass().getClassLoader().getResource("tuple/array_of_doubles_build_data.tsv").getFile()),
|
||||
String.join("\n",
|
||||
String.join(
|
||||
"\n",
|
||||
"{",
|
||||
" \"type\": \"string\",",
|
||||
" \"parseSpec\": {",
|
||||
@ -267,15 +282,19 @@ public class ArrayOfDoublesSketchAggregationTest
|
||||
" },",
|
||||
" \"columns\": [\"timestamp\", \"product\", \"key\", \"value\"]",
|
||||
" }",
|
||||
"}"),
|
||||
String.join("\n",
|
||||
"}"
|
||||
),
|
||||
String.join(
|
||||
"\n",
|
||||
"[",
|
||||
" {\"type\": \"arrayOfDoublesSketch\", \"name\": \"sketch\", \"fieldName\": \"key\", \"metricColumns\": [\"value\"], \"nominalEntries\": 1024}",
|
||||
"]"),
|
||||
"]"
|
||||
),
|
||||
0, // minTimestamp
|
||||
Granularities.NONE,
|
||||
10, // maxRowCount
|
||||
String.join("\n",
|
||||
String.join(
|
||||
"\n",
|
||||
"{",
|
||||
" \"queryType\": \"groupBy\",",
|
||||
" \"dataSource\": \"test_datasource\",",
|
||||
@ -310,7 +329,9 @@ public class ArrayOfDoublesSketchAggregationTest
|
||||
" }}",
|
||||
" ],",
|
||||
" \"intervals\": [\"2015-01-01T00:00:00.000Z/2015-01-31T00:00:00.000Z\"]",
|
||||
"}"));
|
||||
"}"
|
||||
)
|
||||
);
|
||||
List<ResultRow> results = seq.toList();
|
||||
Assert.assertEquals(1, results.size());
|
||||
ResultRow row = results.get(0);
|
||||
@ -334,7 +355,8 @@ public class ArrayOfDoublesSketchAggregationTest
|
||||
Sequence<ResultRow> seq = helper.createIndexAndRunQueryOnSegment(
|
||||
new File(
|
||||
this.getClass().getClassLoader().getResource("tuple/array_of_doubles_build_data_two_values.tsv").getFile()),
|
||||
String.join("\n",
|
||||
String.join(
|
||||
"\n",
|
||||
"{",
|
||||
" \"type\": \"string\",",
|
||||
" \"parseSpec\": {",
|
||||
@ -347,15 +369,19 @@ public class ArrayOfDoublesSketchAggregationTest
|
||||
" },",
|
||||
" \"columns\": [\"timestamp\", \"product\", \"key\", \"value1\", \"value2\"]",
|
||||
" }",
|
||||
"}"),
|
||||
String.join("\n",
|
||||
"}"
|
||||
),
|
||||
String.join(
|
||||
"\n",
|
||||
"[",
|
||||
" {\"type\": \"arrayOfDoublesSketch\", \"name\": \"sketch\", \"fieldName\": \"key\", \"metricColumns\": [ \"value1\", \"value2\" ], \"nominalEntries\": 1024}",
|
||||
"]"),
|
||||
"]"
|
||||
),
|
||||
0, // minTimestamp
|
||||
Granularities.NONE,
|
||||
10, // maxRowCount
|
||||
String.join("\n",
|
||||
String.join(
|
||||
"\n",
|
||||
"{",
|
||||
" \"queryType\": \"groupBy\",",
|
||||
" \"dataSource\": \"test_datasource\",",
|
||||
@ -398,7 +424,9 @@ public class ArrayOfDoublesSketchAggregationTest
|
||||
" }",
|
||||
" ],",
|
||||
" \"intervals\": [\"2015-01-01T00:00:00.000Z/2015-01-31T00:00:00.000Z\"]",
|
||||
"}"));
|
||||
"}"
|
||||
)
|
||||
);
|
||||
List<ResultRow> results = seq.toList();
|
||||
Assert.assertEquals(1, results.size());
|
||||
ResultRow row = results.get(0);
|
||||
@ -423,12 +451,127 @@ public class ArrayOfDoublesSketchAggregationTest
|
||||
Assert.assertEquals(2.0, ds.getMaxValue(), 0);
|
||||
}
|
||||
|
||||
@Test
|
||||
public void buildingSketchesAtIngestionTimeThreeValuesAndNulls() throws Exception
|
||||
{
|
||||
Sequence<ResultRow> seq = helper.createIndexAndRunQueryOnSegment(
|
||||
new File(
|
||||
this.getClass()
|
||||
.getClassLoader()
|
||||
.getResource("tuple/array_of_doubles_build_data_three_values_and_nulls.tsv")
|
||||
.getFile()),
|
||||
String.join(
|
||||
"\n",
|
||||
"{",
|
||||
" \"type\": \"string\",",
|
||||
" \"parseSpec\": {",
|
||||
" \"format\": \"tsv\",",
|
||||
" \"timestampSpec\": {\"column\": \"timestamp\", \"format\": \"yyyyMMddHH\"},",
|
||||
" \"dimensionsSpec\": {",
|
||||
" \"dimensions\": [\"product\"],",
|
||||
" \"dimensionExclusions\": [],",
|
||||
" \"spatialDimensions\": []",
|
||||
" },",
|
||||
" \"columns\": [\"timestamp\", \"product\", \"key\", \"value1\", \"value2\", \"value3\"]",
|
||||
" }",
|
||||
"}"
|
||||
),
|
||||
String.join(
|
||||
"\n",
|
||||
"[",
|
||||
" {\"type\": \"arrayOfDoublesSketch\", \"name\": \"sketch\", \"fieldName\": \"key\", \"metricColumns\": [ \"value1\", \"value2\", \"value3\" ], \"nominalEntries\": 1024}",
|
||||
"]"
|
||||
),
|
||||
0, // minTimestamp
|
||||
Granularities.NONE,
|
||||
10, // maxRowCount
|
||||
String.join(
|
||||
"\n",
|
||||
"{",
|
||||
" \"queryType\": \"groupBy\",",
|
||||
" \"dataSource\": \"test_datasource\",",
|
||||
" \"granularity\": \"ALL\",",
|
||||
" \"dimensions\": [],",
|
||||
" \"aggregations\": [",
|
||||
" {\"type\": \"arrayOfDoublesSketch\", \"name\": \"sketch\", \"fieldName\": \"sketch\", \"nominalEntries\": 1024, \"numberOfValues\": 3}",
|
||||
" ],",
|
||||
" \"postAggregations\": [",
|
||||
" {\"type\": \"arrayOfDoublesSketchToEstimate\", \"name\": \"estimate\", \"field\": {\"type\": \"fieldAccess\", \"fieldName\": \"sketch\"}},",
|
||||
" {\"type\": \"arrayOfDoublesSketchToQuantilesSketch\", \"name\": \"quantiles-sketch\", \"column\": 2, \"field\": {\"type\": \"fieldAccess\", \"fieldName\": \"sketch\"}},",
|
||||
" {\"type\": \"arrayOfDoublesSketchToEstimate\", \"name\": \"union\", \"field\": {",
|
||||
" \"type\": \"arrayOfDoublesSketchSetOp\",",
|
||||
" \"name\": \"union\",",
|
||||
" \"operation\": \"UNION\",",
|
||||
" \"nominalEntries\": 1024,",
|
||||
" \"numberOfValues\": 3,",
|
||||
" \"fields\": [{\"type\": \"fieldAccess\", \"fieldName\": \"sketch\"}, {\"type\": \"fieldAccess\", \"fieldName\": \"sketch\"}]",
|
||||
" }},",
|
||||
" {\"type\": \"arrayOfDoublesSketchToEstimate\", \"name\": \"intersection\", \"field\": {",
|
||||
" \"type\": \"arrayOfDoublesSketchSetOp\",",
|
||||
" \"name\": \"intersection\",",
|
||||
" \"operation\": \"INTERSECT\",",
|
||||
" \"nominalEntries\": 1024,",
|
||||
" \"numberOfValues\": 3,",
|
||||
" \"fields\": [{\"type\": \"fieldAccess\", \"fieldName\": \"sketch\"}, {\"type\": \"fieldAccess\", \"fieldName\": \"sketch\"}]",
|
||||
" }},",
|
||||
" {\"type\": \"arrayOfDoublesSketchToEstimate\", \"name\": \"anotb\", \"field\": {",
|
||||
" \"type\": \"arrayOfDoublesSketchSetOp\",",
|
||||
" \"name\": \"anotb\",",
|
||||
" \"operation\": \"NOT\",",
|
||||
" \"nominalEntries\": 1024,",
|
||||
" \"numberOfValues\": 3,",
|
||||
" \"fields\": [{\"type\": \"fieldAccess\", \"fieldName\": \"sketch\"}, {\"type\": \"fieldAccess\", \"fieldName\": \"sketch\"}]",
|
||||
" }},",
|
||||
" {",
|
||||
" \"type\": \"arrayOfDoublesSketchToMeans\",",
|
||||
" \"name\": \"means\",",
|
||||
" \"field\": {\"type\": \"fieldAccess\", \"fieldName\": \"sketch\"}",
|
||||
" },",
|
||||
" {\"type\": \"arrayOfDoublesSketchToQuantilesSketch\", \"name\": \"quantiles-sketch-with-nulls\", \"column\": 3, \"field\": {\"type\": \"fieldAccess\", \"fieldName\": \"sketch\"}}",
|
||||
" ],",
|
||||
" \"intervals\": [\"2015-01-01T00:00:00.000Z/2015-01-31T00:00:00.000Z\"]",
|
||||
"}"
|
||||
)
|
||||
);
|
||||
List<ResultRow> results = seq.toList();
|
||||
Assert.assertEquals(1, results.size());
|
||||
ResultRow row = results.get(0);
|
||||
Assert.assertEquals("sketch", 30.0, (double) row.get(0), 0);
|
||||
Assert.assertEquals("estimate", 30.0, (double) row.get(1), 0);
|
||||
Assert.assertEquals("union", 30.0, (double) row.get(3), 0);
|
||||
Assert.assertEquals("intersection", 30.0, (double) row.get(4), 0);
|
||||
Assert.assertEquals("anotb", 0, (double) row.get(5), 0);
|
||||
|
||||
Object meansObj = row.get(6); // means
|
||||
Assert.assertTrue(meansObj instanceof double[]);
|
||||
double[] means = (double[]) meansObj;
|
||||
Assert.assertEquals(3, means.length);
|
||||
Assert.assertEquals(1.0, means[0], 0);
|
||||
Assert.assertEquals(2.0, means[1], 0);
|
||||
Assert.assertEquals(3.0, means[2], 0.1);
|
||||
|
||||
Object obj = row.get(2); // quantiles-sketch
|
||||
Assert.assertTrue(obj instanceof DoublesSketch);
|
||||
DoublesSketch ds = (DoublesSketch) obj;
|
||||
Assert.assertEquals(30, ds.getN());
|
||||
Assert.assertEquals(2.0, ds.getMinValue(), 0);
|
||||
Assert.assertEquals(2.0, ds.getMaxValue(), 0);
|
||||
|
||||
Object objSketch2 = row.get(7); // quantiles-sketch-with-nulls
|
||||
Assert.assertTrue(objSketch2 instanceof DoublesSketch);
|
||||
DoublesSketch ds2 = (DoublesSketch) objSketch2;
|
||||
Assert.assertEquals(30, ds2.getN());
|
||||
Assert.assertEquals(3.0, ds2.getMinValue(), 0);
|
||||
Assert.assertEquals(3.0, ds2.getMaxValue(), 0);
|
||||
}
|
||||
|
||||
@Test
|
||||
public void buildingSketchesAtQueryTime() throws Exception
|
||||
{
|
||||
Sequence<ResultRow> seq = helper.createIndexAndRunQueryOnSegment(
|
||||
new File(this.getClass().getClassLoader().getResource("tuple/array_of_doubles_build_data.tsv").getFile()),
|
||||
String.join("\n",
|
||||
String.join(
|
||||
"\n",
|
||||
"{",
|
||||
" \"type\": \"string\",",
|
||||
" \"parseSpec\": {",
|
||||
@ -441,15 +584,19 @@ public class ArrayOfDoublesSketchAggregationTest
|
||||
" },",
|
||||
" \"columns\": [\"timestamp\", \"product\", \"key\", \"value\"]",
|
||||
" }",
|
||||
"}"),
|
||||
String.join("\n",
|
||||
"}"
|
||||
),
|
||||
String.join(
|
||||
"\n",
|
||||
"[",
|
||||
" {\"type\": \"doubleSum\", \"name\": \"value\", \"fieldName\": \"value\"}",
|
||||
"]"),
|
||||
"]"
|
||||
),
|
||||
0, // minTimestamp
|
||||
Granularities.NONE,
|
||||
40, // maxRowCount
|
||||
String.join("\n",
|
||||
String.join(
|
||||
"\n",
|
||||
"{",
|
||||
" \"queryType\": \"groupBy\",",
|
||||
" \"dataSource\": \"test_datasource\",",
|
||||
@ -485,7 +632,9 @@ public class ArrayOfDoublesSketchAggregationTest
|
||||
" }}",
|
||||
" ],",
|
||||
" \"intervals\": [\"2015-01-01T00:00:00.000Z/2015-01-31T00:00:00.000Z\"]",
|
||||
"}"));
|
||||
"}"
|
||||
)
|
||||
);
|
||||
List<ResultRow> results = seq.toList();
|
||||
Assert.assertEquals(1, results.size());
|
||||
ResultRow row = results.get(0);
|
||||
@ -507,11 +656,12 @@ public class ArrayOfDoublesSketchAggregationTest
|
||||
// Two buckets with statistically significant difference.
|
||||
// See GenerateTestData class for details.
|
||||
@Test
|
||||
public void buildingSketchesAtQueryTimeAndTTest() throws Exception
|
||||
public void buildingSketchesAtQueryTimeTwoBucketsTest() throws Exception
|
||||
{
|
||||
Sequence<ResultRow> seq = helper.createIndexAndRunQueryOnSegment(
|
||||
new File(this.getClass().getClassLoader().getResource("tuple/bucket_test_data.tsv").getFile()),
|
||||
String.join("\n",
|
||||
String.join(
|
||||
"\n",
|
||||
"{",
|
||||
" \"type\": \"string\",",
|
||||
" \"parseSpec\": {",
|
||||
@ -522,15 +672,19 @@ public class ArrayOfDoublesSketchAggregationTest
|
||||
" },",
|
||||
" \"columns\": [\"timestamp\", \"label\", \"userid\", \"parameter\"]",
|
||||
" }",
|
||||
"}"),
|
||||
String.join("\n",
|
||||
"}"
|
||||
),
|
||||
String.join(
|
||||
"\n",
|
||||
"[",
|
||||
" {\"type\": \"doubleSum\", \"name\": \"parameter\", \"fieldName\": \"parameter\"}",
|
||||
"]"),
|
||||
"]"
|
||||
),
|
||||
0, // minTimestamp
|
||||
Granularities.NONE,
|
||||
2000, // maxRowCount
|
||||
String.join("\n",
|
||||
String.join(
|
||||
"\n",
|
||||
"{",
|
||||
" \"queryType\": \"groupBy\",",
|
||||
" \"dataSource\": \"test_datasource\",",
|
||||
@ -557,7 +711,9 @@ public class ArrayOfDoublesSketchAggregationTest
|
||||
" }",
|
||||
" ],",
|
||||
" \"intervals\": [\"2017-01-01T00:00:00.000Z/2017-01-31T00:00:00.000Z\"]",
|
||||
"}"));
|
||||
"}"
|
||||
)
|
||||
);
|
||||
List<ResultRow> results = seq.toList();
|
||||
Assert.assertEquals(1, results.size());
|
||||
ResultRow row = results.get(0);
|
||||
@ -571,4 +727,132 @@ public class ArrayOfDoublesSketchAggregationTest
|
||||
Assert.assertEquals(0, pValue, 0.001);
|
||||
}
|
||||
|
||||
// Three buckets with null values
|
||||
@Test
|
||||
public void buildingSketchesAtQueryTimeWithNullsTest() throws Exception
|
||||
{
|
||||
Sequence<ResultRow> seq = helper.createIndexAndRunQueryOnSegment(
|
||||
new File(this.getClass()
|
||||
.getClassLoader()
|
||||
.getResource("tuple/array_of_doubles_build_data_three_values_and_nulls.tsv")
|
||||
.getFile()),
|
||||
String.join(
|
||||
"\n",
|
||||
"{",
|
||||
" \"type\": \"string\",",
|
||||
" \"parseSpec\": {",
|
||||
" \"format\": \"tsv\",",
|
||||
" \"timestampSpec\": {\"column\": \"timestamp\", \"format\": \"yyyyMMddHH\"},",
|
||||
" \"dimensionsSpec\": {",
|
||||
" \"dimensions\": [\"product\", \"key\"],",
|
||||
" \"dimensionExclusions\": [],",
|
||||
" \"spatialDimensions\": []",
|
||||
" },",
|
||||
" \"columns\": [\"timestamp\", \"product\", \"key\", \"value1\", \"value2\", \"value3\"]",
|
||||
" }",
|
||||
"}"
|
||||
),
|
||||
String.join(
|
||||
"\n",
|
||||
"[",
|
||||
" {\"type\": \"doubleSum\", \"name\": \"value1\", \"fieldName\": \"value1\"},",
|
||||
" {\"type\": \"doubleSum\", \"name\": \"value2\", \"fieldName\": \"value2\"},",
|
||||
" {\"type\": \"doubleSum\", \"name\": \"value3\", \"fieldName\": \"value3\"}",
|
||||
"]"
|
||||
),
|
||||
0, // minTimestamp
|
||||
Granularities.NONE,
|
||||
10, // maxRowCount
|
||||
String.join(
|
||||
"\n",
|
||||
"{",
|
||||
" \"queryType\": \"groupBy\",",
|
||||
" \"dataSource\": \"test_datasource\",",
|
||||
" \"granularity\": \"ALL\",",
|
||||
" \"dimensions\": [],",
|
||||
" \"virtualColumns\": [{\"type\": \"expression\",\"name\": \"nonulls3\",\"expression\": \"nvl(value3, 0.0)\",\"outputType\": \"DOUBLE\"}],",
|
||||
" \"aggregations\": [",
|
||||
" {\"type\": \"arrayOfDoublesSketch\", \"name\": \"sketch\", \"fieldName\": \"key\", \"metricColumns\": [ \"value1\", \"value2\", \"value3\" ], \"nominalEntries\": 1024},",
|
||||
" {\"type\": \"arrayOfDoublesSketch\", \"name\": \"sketchNoNulls\", \"fieldName\": \"key\", \"metricColumns\": [ \"value1\", \"value2\", \"nonulls3\" ], \"nominalEntries\": 1024}",
|
||||
" ],",
|
||||
" \"postAggregations\": [",
|
||||
" {\"type\": \"arrayOfDoublesSketchToEstimate\", \"name\": \"estimate\", \"field\": {\"type\": \"fieldAccess\", \"fieldName\": \"sketch\"}},",
|
||||
" {\"type\": \"arrayOfDoublesSketchToEstimate\", \"name\": \"estimateNoNulls\", \"field\": {\"type\": \"fieldAccess\", \"fieldName\": \"sketchNoNulls\"}},",
|
||||
" {\"type\": \"arrayOfDoublesSketchToQuantilesSketch\", \"name\": \"quantiles-sketch\", \"column\": 2, \"field\": {\"type\": \"fieldAccess\", \"fieldName\": \"sketch\"}},",
|
||||
" {\"type\": \"arrayOfDoublesSketchToEstimate\", \"name\": \"union\", \"field\": {",
|
||||
" \"type\": \"arrayOfDoublesSketchSetOp\",",
|
||||
" \"name\": \"union\",",
|
||||
" \"operation\": \"UNION\",",
|
||||
" \"nominalEntries\": 1024,",
|
||||
" \"numberOfValues\": 3,",
|
||||
" \"fields\": [{\"type\": \"fieldAccess\", \"fieldName\": \"sketch\"}, {\"type\": \"fieldAccess\", \"fieldName\": \"sketch\"}]",
|
||||
" }},",
|
||||
" {\"type\": \"arrayOfDoublesSketchToEstimate\", \"name\": \"intersection\", \"field\": {",
|
||||
" \"type\": \"arrayOfDoublesSketchSetOp\",",
|
||||
" \"name\": \"intersection\",",
|
||||
" \"operation\": \"INTERSECT\",",
|
||||
" \"nominalEntries\": 1024,",
|
||||
" \"numberOfValues\": 3,",
|
||||
" \"fields\": [{\"type\": \"fieldAccess\", \"fieldName\": \"sketch\"}, {\"type\": \"fieldAccess\", \"fieldName\": \"sketch\"}]",
|
||||
" }},",
|
||||
" {\"type\": \"arrayOfDoublesSketchToEstimate\", \"name\": \"anotb\", \"field\": {",
|
||||
" \"type\": \"arrayOfDoublesSketchSetOp\",",
|
||||
" \"name\": \"anotb\",",
|
||||
" \"operation\": \"NOT\",",
|
||||
" \"nominalEntries\": 1024,",
|
||||
" \"numberOfValues\": 3,",
|
||||
" \"fields\": [{\"type\": \"fieldAccess\", \"fieldName\": \"sketch\"}, {\"type\": \"fieldAccess\", \"fieldName\": \"sketch\"}]",
|
||||
" }},",
|
||||
" {",
|
||||
" \"type\": \"arrayOfDoublesSketchToMeans\",",
|
||||
" \"name\": \"means\",",
|
||||
" \"field\": {\"type\": \"fieldAccess\", \"fieldName\": \"sketch\"}",
|
||||
" },",
|
||||
" {\"type\": \"arrayOfDoublesSketchToQuantilesSketch\", \"name\": \"quantiles-sketch-with-nulls\", \"column\": 3, \"field\": {\"type\": \"fieldAccess\", \"fieldName\": \"sketch\"}},",
|
||||
" {\"type\": \"arrayOfDoublesSketchToQuantilesSketch\", \"name\": \"quantiles-sketch-with-no-nulls\", \"column\": 3, \"field\": {\"type\": \"fieldAccess\", \"fieldName\": \"sketchNoNulls\"}}",
|
||||
" ],",
|
||||
" \"intervals\": [\"2015-01-01T00:00:00.000Z/2015-01-31T00:00:00.000Z\"]",
|
||||
"}"
|
||||
)
|
||||
);
|
||||
List<ResultRow> results = seq.toList();
|
||||
Assert.assertEquals(1, results.size());
|
||||
ResultRow row = results.get(0);
|
||||
Assert.assertEquals("sketch", NullHandling.replaceWithDefault() ? 40.0 : 30.0, (double) row.get(0), 0);
|
||||
Assert.assertEquals("sketchNoNulls", 40.0, (double) row.get(1), 0);
|
||||
Assert.assertEquals("estimate", NullHandling.replaceWithDefault() ? 40.0 : 30.0, (double) row.get(2), 0);
|
||||
Assert.assertEquals("estimateNoNulls", 40.0, (double) row.get(3), 0);
|
||||
Assert.assertEquals("union", NullHandling.replaceWithDefault() ? 40.0 : 30.0, (double) row.get(5), 0);
|
||||
Assert.assertEquals("intersection", NullHandling.replaceWithDefault() ? 40.0 : 30.0, (double) row.get(6), 0);
|
||||
Assert.assertEquals("anotb", 0, (double) row.get(7), 0);
|
||||
|
||||
Object meansObj = row.get(8); // means
|
||||
Assert.assertTrue(meansObj instanceof double[]);
|
||||
double[] means = (double[]) meansObj;
|
||||
Assert.assertEquals(3, means.length);
|
||||
Assert.assertEquals(1.0, means[0], 0);
|
||||
Assert.assertEquals(2.0, means[1], 0);
|
||||
Assert.assertEquals(NullHandling.replaceWithDefault() ? 2.25 : 3.0, means[2], 0.1);
|
||||
|
||||
Object obj = row.get(4); // quantiles-sketch
|
||||
Assert.assertTrue(obj instanceof DoublesSketch);
|
||||
DoublesSketch ds = (DoublesSketch) obj;
|
||||
Assert.assertEquals(NullHandling.replaceWithDefault() ? 40 : 30, ds.getN());
|
||||
Assert.assertEquals(2.0, ds.getMinValue(), 0);
|
||||
Assert.assertEquals(2.0, ds.getMaxValue(), 0);
|
||||
|
||||
Object objSketch2 = row.get(9); // quantiles-sketch-with-nulls
|
||||
Assert.assertTrue(objSketch2 instanceof DoublesSketch);
|
||||
DoublesSketch ds2 = (DoublesSketch) objSketch2;
|
||||
Assert.assertEquals(NullHandling.replaceWithDefault() ? 40 : 30, ds2.getN());
|
||||
Assert.assertEquals(NullHandling.replaceWithDefault() ? 0.0 : 3.0, ds2.getMinValue(), 0);
|
||||
Assert.assertEquals(3.0, ds2.getMaxValue(), 0);
|
||||
|
||||
Object objSketch3 = row.get(10); // quantiles-sketch-no-nulls
|
||||
Assert.assertTrue(objSketch3 instanceof DoublesSketch);
|
||||
DoublesSketch ds3 = (DoublesSketch) objSketch3;
|
||||
Assert.assertEquals(40, ds3.getN());
|
||||
Assert.assertEquals(0.0, ds3.getMinValue(), 0);
|
||||
Assert.assertEquals(3.0, ds3.getMaxValue(), 0);
|
||||
}
|
||||
}
|
||||
|
||||
@ -1,400 +1,400 @@
|
||||
2016010101 0 0 0.6529403005319299
|
||||
2016010101 1 0 0.9270214958987323
|
||||
2016010101 2 0 0.6383273609981486
|
||||
2016010101 3 0 0.8088289215633632
|
||||
2016010101 4 0 0.8163864917598281
|
||||
2016010101 5 0 0.38484848588530784
|
||||
2016010101 6 0 0.7690020468986823
|
||||
2016010101 0 0 0.6529403005319299 6.4640
|
||||
2016010101 1 0 0.9270214958987323 5.6748
|
||||
2016010101 2 0 0.6383273609981486 9.0873
|
||||
2016010101 3 0 0.8088289215633632 8.6046
|
||||
2016010101 4 0 0.8163864917598281 5.2844
|
||||
2016010101 5 0 0.38484848588530784 6.7631
|
||||
2016010101 6 0 0.7690020468986823 9.4987
|
||||
2016010101 7 0 0.6212078833139824
|
||||
2016010101 8 0 0.4915825094949512
|
||||
2016010101 9 0 0.688004059332008
|
||||
2016010101 10 0 0.2536908275250508
|
||||
2016010101 11 0 0.6618435914290263
|
||||
2016010101 9 0 0.688004059332008 5.2246
|
||||
2016010101 10 0 0.2536908275250508 5.8375
|
||||
2016010101 11 0 0.6618435914290263 8.0502
|
||||
2016010101 12 0 0.7892773595797635
|
||||
2016010101 13 0 0.08857624134076048
|
||||
2016010101 14 0 0.11992633801904151
|
||||
2016010101 15 0 0.4959192800105586
|
||||
2016010101 16 0 0.5564893557708243
|
||||
2016010101 13 0 0.08857624134076048 9.3025
|
||||
2016010101 14 0 0.11992633801904151 9.8775
|
||||
2016010101 15 0 0.4959192800105586 5.3096
|
||||
2016010101 16 0 0.5564893557708243 5.7811
|
||||
2016010101 17 0 0.7755547456799993
|
||||
2016010101 18 0 0.06420706406984311
|
||||
2016010101 19 0 0.23085639094262378
|
||||
2016010101 20 7 0.012013916725163498
|
||||
2016010101 21 7 0.34077219818209503
|
||||
2016010101 22 7 0.8445966884204918
|
||||
2016010101 23 7 0.6466142718287953
|
||||
2016010101 24 7 0.43959032391415487
|
||||
2016010101 18 0 0.06420706406984311 7.5113
|
||||
2016010101 19 0 0.23085639094262378 6.6375
|
||||
2016010101 20 7 0.012013916725163498 5.5032
|
||||
2016010101 21 7 0.34077219818209503 6.0330
|
||||
2016010101 22 7 0.8445966884204918 6.9012
|
||||
2016010101 23 7 0.6466142718287953 7.2324
|
||||
2016010101 24 7 0.43959032391415487 8.5575
|
||||
2016010101 25 7 0.7768829233737787
|
||||
2016010101 26 7 0.5899544206136442
|
||||
2016010101 27 7 0.017782361911801825
|
||||
2016010101 28 7 0.5431916165782864
|
||||
2016010101 29 7 0.8218253174439416
|
||||
2016010101 30 7 0.6372788284951859
|
||||
2016010101 31 7 0.41403671834680933
|
||||
2016010101 32 7 0.042508330730374855
|
||||
2016010101 33 7 0.7416290691530969
|
||||
2016010101 34 7 0.6990557213726277
|
||||
2016010101 35 7 0.6302154208823348
|
||||
2016010101 36 7 0.021053567154993402
|
||||
2016010101 37 7 0.770280353784988
|
||||
2016010101 38 7 0.08205576978448703
|
||||
2016010101 39 7 0.2049660800682488
|
||||
2016010101 26 7 0.5899544206136442 7.9103
|
||||
2016010101 27 7 0.017782361911801825 9.5395
|
||||
2016010101 28 7 0.5431916165782864 9.0030
|
||||
2016010101 29 7 0.8218253174439416 8.2596
|
||||
2016010101 30 7 0.6372788284951859 8.4348
|
||||
2016010101 31 7 0.41403671834680933 7.0427
|
||||
2016010101 32 7 0.042508330730374855 8.4631
|
||||
2016010101 33 7 0.7416290691530969 5.8021
|
||||
2016010101 34 7 0.6990557213726277 6.9269
|
||||
2016010101 35 7 0.6302154208823348 8.6705
|
||||
2016010101 36 7 0.021053567154993402 8.8914
|
||||
2016010101 37 7 0.770280353784988 7.3932
|
||||
2016010101 38 7 0.08205576978448703 6.8809
|
||||
2016010101 39 7 0.2049660800682488 5.9201
|
||||
2016010101 40 5 0.08129304678049831
|
||||
2016010101 41 5 0.17754747271638005
|
||||
2016010101 42 5 0.8441702357096768
|
||||
2016010101 43 5 0.9060464737257796
|
||||
2016010101 44 5 0.5970595512785409
|
||||
2016010101 45 5 0.843859346312315
|
||||
2016010101 46 5 0.1649847892987305
|
||||
2016010101 47 5 0.5279903496999094
|
||||
2016010101 48 5 0.08758749830556767
|
||||
2016010101 49 5 0.6088480522002063
|
||||
2016010101 50 5 0.31079133043670004
|
||||
2016010101 51 5 0.43062105356651226
|
||||
2016010101 52 5 0.8542989852099488
|
||||
2016010101 53 5 0.42443162807834045
|
||||
2016010101 54 5 0.5020327054358468
|
||||
2016010101 55 5 0.36453920012074237
|
||||
2016010101 56 5 0.9884597580348689
|
||||
2016010101 57 5 0.3770559586575706
|
||||
2016010101 41 5 0.17754747271638005 8.7760
|
||||
2016010101 42 5 0.8441702357096768 6.2093
|
||||
2016010101 43 5 0.9060464737257796 6.5394
|
||||
2016010101 44 5 0.5970595512785409 9.9788
|
||||
2016010101 45 5 0.843859346312315 7.1848
|
||||
2016010101 46 5 0.1649847892987305 8.4503
|
||||
2016010101 47 5 0.5279903496999094 8.9682
|
||||
2016010101 48 5 0.08758749830556767 6.4161
|
||||
2016010101 49 5 0.6088480522002063 7.1579
|
||||
2016010101 50 5 0.31079133043670004 9.3775
|
||||
2016010101 51 5 0.43062105356651226 5.2508
|
||||
2016010101 52 5 0.8542989852099488 7.4714
|
||||
2016010101 53 5 0.42443162807834045 7.9648
|
||||
2016010101 54 5 0.5020327054358468 7.4182
|
||||
2016010101 55 5 0.36453920012074237 9.4505
|
||||
2016010101 56 5 0.9884597580348689 6.1475
|
||||
2016010101 57 5 0.3770559586575706 5.1045
|
||||
2016010101 58 5 0.5989237303385875
|
||||
2016010101 59 5 0.9926342802399872
|
||||
2016010101 60 4 0.7813961047849703
|
||||
2016010101 61 4 0.062171533805525425
|
||||
2016010101 62 4 0.5284977503473608
|
||||
2016010101 63 4 0.5924687065581794
|
||||
2016010101 64 4 0.06305234223879275
|
||||
2016010101 65 4 0.4959562731747129
|
||||
2016010101 66 4 0.6336733165353365
|
||||
2016010101 67 4 0.48860263540869875
|
||||
2016010101 68 4 0.9387610528974851
|
||||
2016010101 69 4 0.3391271652731308
|
||||
2016010101 70 4 0.5962837638971421
|
||||
2016010101 71 4 0.9190447294921896
|
||||
2016010101 72 4 0.33082943548872534
|
||||
2016010101 73 4 0.6236359023672029
|
||||
2016010101 74 4 0.27134427542016615
|
||||
2016010101 75 4 0.11665530238761901
|
||||
2016010101 76 4 0.10469260335277608
|
||||
2016010101 77 4 0.6824658847771211
|
||||
2016010101 78 4 0.6131047630496756
|
||||
2016010101 79 4 0.9838171536972515
|
||||
2016010101 80 4 0.7484669110852756
|
||||
2016010101 81 4 0.797620888697219
|
||||
2016010101 82 4 0.7166673353657907
|
||||
2016010101 83 4 0.46968710353176557
|
||||
2016010101 84 4 0.3998491199643106
|
||||
2016010101 85 4 0.6314883585976869
|
||||
2016010101 86 4 0.8305617875577815
|
||||
2016010101 87 4 0.6867651870284084
|
||||
2016010101 88 4 0.9961677044887979
|
||||
2016010101 89 4 0.19745766301180412
|
||||
2016010101 90 4 0.2737652043079263
|
||||
2016010101 91 4 0.2954503444695358
|
||||
2016010101 92 4 0.6191902196833489
|
||||
2016010101 93 4 0.6828058006233482
|
||||
2016010101 94 4 0.7967115641510757
|
||||
2016010101 95 4 0.5485460823820962
|
||||
2016010101 59 5 0.9926342802399872 7.7604
|
||||
2016010101 60 4 0.7813961047849703 5.3715
|
||||
2016010101 61 4 0.062171533805525425 6.2639
|
||||
2016010101 62 4 0.5284977503473608 8.4169
|
||||
2016010101 63 4 0.5924687065581794 9.3528
|
||||
2016010101 64 4 0.06305234223879275 9.4684
|
||||
2016010101 65 4 0.4959562731747129 9.9342
|
||||
2016010101 66 4 0.6336733165353365 5.1156
|
||||
2016010101 67 4 0.48860263540869875 8.3483
|
||||
2016010101 68 4 0.9387610528974851 5.8623
|
||||
2016010101 69 4 0.3391271652731308 6.8404
|
||||
2016010101 70 4 0.5962837638971421 5.8733
|
||||
2016010101 71 4 0.9190447294921896 5.6447
|
||||
2016010101 72 4 0.33082943548872534 6.5562
|
||||
2016010101 73 4 0.6236359023672029 9.6535
|
||||
2016010101 74 4 0.27134427542016615 7.4968
|
||||
2016010101 75 4 0.11665530238761901 8.7194
|
||||
2016010101 76 4 0.10469260335277608 8.7135
|
||||
2016010101 77 4 0.6824658847771211 5.5886
|
||||
2016010101 78 4 0.6131047630496756 8.4490
|
||||
2016010101 79 4 0.9838171536972515 9.2168
|
||||
2016010101 80 4 0.7484669110852756 9.7527
|
||||
2016010101 81 4 0.797620888697219 8.2709
|
||||
2016010101 82 4 0.7166673353657907 9.7910
|
||||
2016010101 83 4 0.46968710353176557 7.6986
|
||||
2016010101 84 4 0.3998491199643106 9.0208
|
||||
2016010101 85 4 0.6314883585976869 8.5947
|
||||
2016010101 86 4 0.8305617875577815 7.5846
|
||||
2016010101 87 4 0.6867651870284084 7.4681
|
||||
2016010101 88 4 0.9961677044887979 8.9175
|
||||
2016010101 89 4 0.19745766301180412 8.3892
|
||||
2016010101 90 4 0.2737652043079263 9.0234
|
||||
2016010101 91 4 0.2954503444695358 6.1687
|
||||
2016010101 92 4 0.6191902196833489 8.1738
|
||||
2016010101 93 4 0.6828058006233482 7.5305
|
||||
2016010101 94 4 0.7967115641510757 8.8036
|
||||
2016010101 95 4 0.5485460823820962 9.0837
|
||||
2016010101 96 4 0.4278132830938558
|
||||
2016010101 97 4 0.32194908458166194
|
||||
2016010101 98 4 0.07094920295725238
|
||||
2016010101 99 4 0.4351839393889565
|
||||
2016010101 100 1 0.6160833396611648
|
||||
2016010101 101 1 0.4652667787803648
|
||||
2016010101 102 1 0.5026953463132913
|
||||
2016010101 103 1 0.4103237191034753
|
||||
2016010101 104 1 0.3298554666697301
|
||||
2016010101 105 1 0.16907537273919138
|
||||
2016010101 97 4 0.32194908458166194 5.7173
|
||||
2016010101 98 4 0.07094920295725238 6.8724
|
||||
2016010101 99 4 0.4351839393889565 7.1156
|
||||
2016010101 100 1 0.6160833396611648 5.9507
|
||||
2016010101 101 1 0.4652667787803648 7.3727
|
||||
2016010101 102 1 0.5026953463132913 5.9615
|
||||
2016010101 103 1 0.4103237191034753 6.0366
|
||||
2016010101 104 1 0.3298554666697301 8.3332
|
||||
2016010101 105 1 0.16907537273919138 8.9892
|
||||
2016010101 106 1 0.6945260598989513
|
||||
2016010101 107 1 0.917138530496438
|
||||
2016010101 108 1 0.8810129148605083
|
||||
2016010101 109 1 0.11845626048380542
|
||||
2016010101 110 1 0.8848971155827816
|
||||
2016010101 111 1 0.9969103769603667
|
||||
2016010101 112 1 0.06274198529295416
|
||||
2016010101 113 1 0.2923616769686519
|
||||
2016010101 114 1 0.12621083638328634
|
||||
2016010101 108 1 0.8810129148605083 6.9952
|
||||
2016010101 109 1 0.11845626048380542 5.6466
|
||||
2016010101 110 1 0.8848971155827816 9.2285
|
||||
2016010101 111 1 0.9969103769603667 8.1092
|
||||
2016010101 112 1 0.06274198529295416 7.7878
|
||||
2016010101 113 1 0.2923616769686519 5.9326
|
||||
2016010101 114 1 0.12621083638328634 7.1302
|
||||
2016010101 115 1 0.9655188575577313
|
||||
2016010101 116 1 0.6074995164352884
|
||||
2016010101 117 1 0.5501887988201414
|
||||
2016010101 118 1 0.9406914128003497
|
||||
2016010101 119 1 0.03264873659277656
|
||||
2016010101 120 6 0.004852543443656487
|
||||
2016010101 121 6 0.11161194329252788
|
||||
2016010101 122 6 0.9403527002796559
|
||||
2016010101 123 6 0.8951866979503953
|
||||
2016010101 124 6 0.07629846897033454
|
||||
2016010101 116 1 0.6074995164352884 9.0669
|
||||
2016010101 117 1 0.5501887988201414 5.2207
|
||||
2016010101 118 1 0.9406914128003497 7.7406
|
||||
2016010101 119 1 0.03264873659277656 6.2651
|
||||
2016010101 120 6 0.004852543443656487 8.5527
|
||||
2016010101 121 6 0.11161194329252788 9.1995
|
||||
2016010101 122 6 0.9403527002796559 8.0145
|
||||
2016010101 123 6 0.8951866979503953 9.5080
|
||||
2016010101 124 6 0.07629846897033454 8.6304
|
||||
2016010101 125 6 0.9898485014275873
|
||||
2016010101 126 6 0.42827377712188075
|
||||
2016010101 127 6 0.4274796777951825
|
||||
2016010101 128 6 0.5569522946332676
|
||||
2016010101 129 6 0.028195121559112635
|
||||
2016010101 130 6 0.8599127909482382
|
||||
2016010101 126 6 0.42827377712188075 9.9497
|
||||
2016010101 127 6 0.4274796777951825 9.6071
|
||||
2016010101 128 6 0.5569522946332676 6.2189
|
||||
2016010101 129 6 0.028195121559112635 7.7296
|
||||
2016010101 130 6 0.8599127909482382 5.9382
|
||||
2016010101 131 6 0.3516112293128607
|
||||
2016010101 132 6 0.3888868189342449
|
||||
2016010101 133 6 0.644589126160206
|
||||
2016010101 134 6 0.7398741071492928
|
||||
2016010101 135 6 0.1998479248216123
|
||||
2016010101 132 6 0.3888868189342449 9.2290
|
||||
2016010101 133 6 0.644589126160206 5.0507
|
||||
2016010101 134 6 0.7398741071492928 8.2090
|
||||
2016010101 135 6 0.1998479248216123 8.0746
|
||||
2016010101 136 6 0.8803215884594476
|
||||
2016010101 137 6 0.7079531966558515
|
||||
2016010101 138 6 0.7904290564015343
|
||||
2016010101 139 6 0.475671788742007
|
||||
2016010101 140 3 0.034708334899357096
|
||||
2016010101 141 3 0.4134637419532796
|
||||
2016010101 142 3 0.9757934592902832
|
||||
2016010101 143 3 0.37422347371609666
|
||||
2016010101 144 3 0.5904996168737154
|
||||
2016010101 145 3 0.5883259679727514
|
||||
2016010101 146 3 0.3380286015499171
|
||||
2016010101 147 3 0.42174393035143043
|
||||
2016010101 148 3 0.4764900074141757
|
||||
2016010101 149 3 0.01864239537224921
|
||||
2016010101 150 3 0.9124007087743986
|
||||
2016010101 151 3 0.8951275235699193
|
||||
2016010101 152 3 0.7037272142266654
|
||||
2016010101 153 3 0.5685506209266902
|
||||
2016010101 154 3 0.4104883958833594
|
||||
2016010101 155 3 0.7794005551450208
|
||||
2016010101 156 3 0.2879354697088996
|
||||
2016010101 157 3 0.5243215707259823
|
||||
2016010101 158 3 0.22238840286136063
|
||||
2016010101 159 3 0.11336472553284738
|
||||
2016010101 160 4 0.9800770037725316
|
||||
2016010101 161 4 0.7628237317889158
|
||||
2016010101 162 4 0.5355335935170453
|
||||
2016010101 163 4 0.9676939330565402
|
||||
2016010101 164 4 0.657825753108034
|
||||
2016010101 165 4 0.9175328548944673
|
||||
2016010101 166 4 0.6834666043257283
|
||||
2016010101 167 4 0.08580759367942314
|
||||
2016010101 168 4 0.3134740602060899
|
||||
2016010101 169 4 0.3218818254752742
|
||||
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|
Can't render this file because it has a wrong number of fields in line 8.
|
@ -0,0 +1,40 @@
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2015010101 product_2 key1 1.0 2.0 3.0
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2015010101 product_3 key2 1.0 2.0 3.0
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2015010101 product_8 key3 1.0 2.0
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||||
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||||
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2015010101 product_10 key40 1.0 2.0 3.0
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||||
|
Can't render this file because it has a wrong number of fields in line 3.
|
Loading…
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Reference in New Issue
Block a user