/*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package com.facebook.presto.operator.aggregation;
import com.facebook.presto.metadata.MetadataManager;
import com.facebook.presto.metadata.Signature;
import com.facebook.presto.spi.block.BlockBuilder;
import com.facebook.presto.spi.block.BlockBuilderStatus;
import com.facebook.presto.spi.block.RunLengthEncodedBlock;
import com.facebook.presto.type.ArrayType;
import com.google.common.collect.ImmutableList;
import org.testng.annotations.Test;
import static com.facebook.presto.block.BlockAssertions.createBlockOfReals;
import static com.facebook.presto.block.BlockAssertions.createDoubleSequenceBlock;
import static com.facebook.presto.block.BlockAssertions.createDoublesBlock;
import static com.facebook.presto.block.BlockAssertions.createLongRepeatBlock;
import static com.facebook.presto.block.BlockAssertions.createLongSequenceBlock;
import static com.facebook.presto.block.BlockAssertions.createLongsBlock;
import static com.facebook.presto.block.BlockAssertions.createSequenceBlockOfReal;
import static com.facebook.presto.metadata.FunctionKind.AGGREGATE;
import static com.facebook.presto.operator.aggregation.AggregationTestUtils.assertAggregation;
import static com.facebook.presto.spi.type.BigintType.BIGINT;
import static com.facebook.presto.spi.type.DoubleType.DOUBLE;
import static com.facebook.presto.spi.type.RealType.REAL;
import static com.facebook.presto.spi.type.TypeSignature.parseTypeSignature;
public class TestApproximatePercentileAggregation
{
private static final MetadataManager metadata = MetadataManager.createTestMetadataManager();
private static final InternalAggregationFunction DOUBLE_APPROXIMATE_PERCENTILE_AGGREGATION = metadata.getFunctionRegistry().getAggregateFunctionImplementation(
new Signature("approx_percentile", AGGREGATE, DOUBLE.getTypeSignature(), DOUBLE.getTypeSignature(), DOUBLE.getTypeSignature()));
private static final InternalAggregationFunction DOUBLE_APPROXIMATE_PERCENTILE_WEIGHTED_AGGREGATION = metadata.getFunctionRegistry().getAggregateFunctionImplementation(
new Signature("approx_percentile", AGGREGATE, DOUBLE.getTypeSignature(), DOUBLE.getTypeSignature(), BIGINT.getTypeSignature(), DOUBLE.getTypeSignature()));
private static final InternalAggregationFunction DOUBLE_APPROXIMATE_PERCENTILE_WEIGHTED_AGGREGATION_WITH_ACCURACY = metadata.getFunctionRegistry().getAggregateFunctionImplementation(
new Signature("approx_percentile", AGGREGATE, DOUBLE.getTypeSignature(), DOUBLE.getTypeSignature(), BIGINT.getTypeSignature(), DOUBLE.getTypeSignature(), DOUBLE.getTypeSignature()));
private static final InternalAggregationFunction LONG_APPROXIMATE_PERCENTILE_AGGREGATION = metadata.getFunctionRegistry().getAggregateFunctionImplementation(
new Signature("approx_percentile", AGGREGATE, BIGINT.getTypeSignature(), BIGINT.getTypeSignature(), DOUBLE.getTypeSignature()));
private static final InternalAggregationFunction LONG_APPROXIMATE_PERCENTILE_WEIGHTED_AGGREGATION = metadata.getFunctionRegistry().getAggregateFunctionImplementation(
new Signature("approx_percentile", AGGREGATE, BIGINT.getTypeSignature(), BIGINT.getTypeSignature(), BIGINT.getTypeSignature(), DOUBLE.getTypeSignature()));
private static final InternalAggregationFunction LONG_APPROXIMATE_PERCENTILE_WEIGHTED_AGGREGATION_WITH_ACCURACY = metadata.getFunctionRegistry().getAggregateFunctionImplementation(
new Signature("approx_percentile", AGGREGATE, BIGINT.getTypeSignature(), BIGINT.getTypeSignature(), BIGINT.getTypeSignature(), DOUBLE.getTypeSignature(), DOUBLE.getTypeSignature()));
private static final InternalAggregationFunction DOUBLE_APPROXIMATE_PERCENTILE_ARRAY_AGGREGATION = metadata.getFunctionRegistry().getAggregateFunctionImplementation(
new Signature("approx_percentile", AGGREGATE, parseTypeSignature("array(double)"), DOUBLE.getTypeSignature(), parseTypeSignature("array(double)")));
private static final InternalAggregationFunction DOUBLE_APPROXIMATE_PERCENTILE_ARRAY_WEIGHTED_AGGREGATION = metadata.getFunctionRegistry().getAggregateFunctionImplementation(
new Signature("approx_percentile", AGGREGATE, parseTypeSignature("array(double)"), DOUBLE.getTypeSignature(), BIGINT.getTypeSignature(), parseTypeSignature("array(double)")));
private static final InternalAggregationFunction LONG_APPROXIMATE_PERCENTILE_ARRAY_AGGREGATION = metadata.getFunctionRegistry().getAggregateFunctionImplementation(
new Signature("approx_percentile", AGGREGATE, parseTypeSignature("array(bigint)"), BIGINT.getTypeSignature(), parseTypeSignature("array(double)")));
private static final InternalAggregationFunction LONG_APPROXIMATE_PERCENTILE_ARRAY_WEIGHTED_AGGREGATION = metadata.getFunctionRegistry().getAggregateFunctionImplementation(
new Signature("approx_percentile", AGGREGATE, parseTypeSignature("array(bigint)"), BIGINT.getTypeSignature(), BIGINT.getTypeSignature(), parseTypeSignature("array(double)")));
private static final InternalAggregationFunction FLOAT_APPROXIMATE_PERCENTILE_AGGREGATION = metadata.getFunctionRegistry().getAggregateFunctionImplementation(
new Signature("approx_percentile", AGGREGATE, REAL.getTypeSignature(),
ImmutableList.of(REAL.getTypeSignature(), DOUBLE.getTypeSignature())));
private static final InternalAggregationFunction FLOAT_APPROXIMATE_PERCENTILE_WEIGHTED_AGGREGATION = metadata.getFunctionRegistry().getAggregateFunctionImplementation(
new Signature("approx_percentile", AGGREGATE, REAL.getTypeSignature(),
ImmutableList.of(REAL.getTypeSignature(), BIGINT.getTypeSignature(), DOUBLE.getTypeSignature())));
private static final InternalAggregationFunction FLOAT_APPROXIMATE_PERCENTILE_WEIGHTED_AGGREGATION_WITH_ACCURACY = metadata.getFunctionRegistry().getAggregateFunctionImplementation(
new Signature("approx_percentile", AGGREGATE, REAL.getTypeSignature(),
ImmutableList.of(REAL.getTypeSignature(), BIGINT.getTypeSignature(), DOUBLE.getTypeSignature(), DOUBLE.getTypeSignature())));
private static final InternalAggregationFunction FLOAT_APPROXIMATE_PERCENTILE_ARRAY_AGGREGATION = metadata.getFunctionRegistry().getAggregateFunctionImplementation(
new Signature("approx_percentile", AGGREGATE, new ArrayType(REAL).getTypeSignature(),
ImmutableList.of(REAL.getTypeSignature(), new ArrayType(DOUBLE).getTypeSignature())));
private static final InternalAggregationFunction FLOAT_APPROXIMATE_PERCENTILE_ARRAY_WEIGHTED_AGGREGATION = metadata.getFunctionRegistry().getAggregateFunctionImplementation(
new Signature("approx_percentile", AGGREGATE, new ArrayType(REAL).getTypeSignature(),
ImmutableList.of(REAL.getTypeSignature(), BIGINT.getTypeSignature(), new ArrayType(DOUBLE).getTypeSignature())));
@Test
public void testLongPartialStep()
throws Exception
{
// regular approx_percentile
assertAggregation(
LONG_APPROXIMATE_PERCENTILE_AGGREGATION,
null,
createLongsBlock(null, null),
createRLEBlock(0.5, 2));
assertAggregation(LONG_APPROXIMATE_PERCENTILE_AGGREGATION,
1L,
createLongsBlock(null, 1L),
createRLEBlock(0.5, 2));
assertAggregation(
LONG_APPROXIMATE_PERCENTILE_AGGREGATION,
2L,
createLongsBlock(null, 1L, 2L, 3L),
createRLEBlock(0.5, 4));
assertAggregation(
LONG_APPROXIMATE_PERCENTILE_AGGREGATION,
2L,
createLongsBlock(1L, 2L, 3L),
createRLEBlock(0.5, 3));
assertAggregation(
LONG_APPROXIMATE_PERCENTILE_AGGREGATION,
3L,
createLongsBlock(1L, null, 2L, 2L, null, 2L, 2L, null, 2L, 2L, null, 3L, 3L, null, 3L, null, 3L, 4L, 5L, 6L, 7L),
createRLEBlock(0.5, 21));
// array of approx_percentile
assertAggregation(
LONG_APPROXIMATE_PERCENTILE_ARRAY_AGGREGATION,
null,
createLongsBlock(null, null),
createRLEBlock(ImmutableList.of(0.5), 2));
assertAggregation(
LONG_APPROXIMATE_PERCENTILE_ARRAY_AGGREGATION,
null,
createLongsBlock(null, null),
createRLEBlock(ImmutableList.of(0.5, 0.99), 2));
assertAggregation(LONG_APPROXIMATE_PERCENTILE_ARRAY_AGGREGATION,
ImmutableList.of(1L, 1L),
createLongsBlock(null, 1L),
createRLEBlock(ImmutableList.of(0.5, 0.5), 2));
assertAggregation(
LONG_APPROXIMATE_PERCENTILE_ARRAY_AGGREGATION,
ImmutableList.of(1L, 2L, 3L),
createLongsBlock(null, 1L, 2L, 3L),
createRLEBlock(ImmutableList.of(0.2, 0.5, 0.8), 4));
assertAggregation(
LONG_APPROXIMATE_PERCENTILE_ARRAY_AGGREGATION,
ImmutableList.of(2L, 3L),
createLongsBlock(1L, 2L, 3L),
createRLEBlock(ImmutableList.of(0.5, 0.99), 3));
assertAggregation(
LONG_APPROXIMATE_PERCENTILE_ARRAY_AGGREGATION,
ImmutableList.of(1L, 3L),
createLongsBlock(1L, null, 2L, 2L, null, 2L, 2L, null, 2L, 2L, null, 3L, 3L, null, 3L, null, 3L, 4L, 5L, 6L, 7L),
createRLEBlock(ImmutableList.of(0.01, 0.5), 21));
// weighted approx_percentile
assertAggregation(
LONG_APPROXIMATE_PERCENTILE_WEIGHTED_AGGREGATION,
null,
createLongsBlock(null, null),
createLongsBlock(1L, 1L),
createRLEBlock(0.5, 2));
assertAggregation(
LONG_APPROXIMATE_PERCENTILE_WEIGHTED_AGGREGATION,
1L,
createLongsBlock(null, 1L),
createLongsBlock(1L, 1L),
createRLEBlock(0.5, 2));
assertAggregation(
LONG_APPROXIMATE_PERCENTILE_WEIGHTED_AGGREGATION,
2L,
createLongsBlock(null, 1L, 2L, 3L),
createLongsBlock(1L, 1L, 1L, 1L),
createRLEBlock(0.5, 4));
assertAggregation(
LONG_APPROXIMATE_PERCENTILE_WEIGHTED_AGGREGATION,
2L,
createLongsBlock(1L, 2L, 3L),
createLongsBlock(1L, 1L, 1L),
createRLEBlock(0.5, 3));
assertAggregation(
LONG_APPROXIMATE_PERCENTILE_WEIGHTED_AGGREGATION,
3L,
createLongsBlock(1L, null, 2L, null, 2L, null, 2L, null, 3L, null, 3L, null, 3L, 4L, 5L, 6L, 7L),
createLongsBlock(1L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L),
createRLEBlock(0.5, 17));
assertAggregation(
LONG_APPROXIMATE_PERCENTILE_WEIGHTED_AGGREGATION_WITH_ACCURACY,
9900L,
createLongSequenceBlock(0, 10000),
createLongRepeatBlock(1, 10000),
createRLEBlock(0.99, 10000),
createRLEBlock(0.001, 10000));
// weighted + array of approx_percentile
assertAggregation(
LONG_APPROXIMATE_PERCENTILE_ARRAY_WEIGHTED_AGGREGATION,
ImmutableList.of(1L, 2L),
createLongsBlock(1L, 2L, 3L),
createLongsBlock(4L, 2L, 1L),
createRLEBlock(ImmutableList.of(0.5, 0.8), 3));
}
@Test
public void testFloatPartialStep()
throws Exception
{
// regular approx_percentile
assertAggregation(
FLOAT_APPROXIMATE_PERCENTILE_AGGREGATION,
null,
createBlockOfReals(null, null),
createRLEBlock(0.5, 2));
assertAggregation(
FLOAT_APPROXIMATE_PERCENTILE_AGGREGATION,
1.0f,
createBlockOfReals(null, 1.0f),
createRLEBlock(0.5, 2));
assertAggregation(
FLOAT_APPROXIMATE_PERCENTILE_AGGREGATION,
2.0f,
createBlockOfReals(null, 1.0f, 2.0f, 3.0f),
createRLEBlock(0.5, 4));
assertAggregation(
FLOAT_APPROXIMATE_PERCENTILE_AGGREGATION,
1.0f,
createBlockOfReals(-1.0f, 1.0f),
createRLEBlock(0.5, 2));
assertAggregation(
FLOAT_APPROXIMATE_PERCENTILE_AGGREGATION,
-1.0f,
createBlockOfReals(-2.0f, 3.0f, -1.0f),
createRLEBlock(0.5, 3));
assertAggregation(
FLOAT_APPROXIMATE_PERCENTILE_AGGREGATION,
2.0f,
createBlockOfReals(1.0f, 2.0f, 3.0f),
createRLEBlock(0.5, 3));
assertAggregation(
FLOAT_APPROXIMATE_PERCENTILE_AGGREGATION,
3.0f,
createBlockOfReals(1.0f, null, 2.0f, 2.0f, null, 2.0f, 2.0f, null, 2.0f, 2.0f, null, 3.0f, 3.0f, null, 3.0f, null, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f),
createRLEBlock(0.5, 21));
// array of approx_percentile
assertAggregation(
FLOAT_APPROXIMATE_PERCENTILE_ARRAY_AGGREGATION,
null,
createBlockOfReals(null, null),
createRLEBlock(ImmutableList.of(0.5), 2));
assertAggregation(
FLOAT_APPROXIMATE_PERCENTILE_ARRAY_AGGREGATION,
null,
createBlockOfReals(null, null),
createRLEBlock(ImmutableList.of(0.5, 0.5), 2));
assertAggregation(
FLOAT_APPROXIMATE_PERCENTILE_ARRAY_AGGREGATION,
ImmutableList.of(1.0f, 1.0f),
createBlockOfReals(null, 1.0f),
createRLEBlock(ImmutableList.of(0.5, 0.5), 2));
assertAggregation(
FLOAT_APPROXIMATE_PERCENTILE_ARRAY_AGGREGATION,
ImmutableList.of(1.0f, 2.0f, 3.0f),
createBlockOfReals(null, 1.0f, 2.0f, 3.0f),
createRLEBlock(ImmutableList.of(0.2, 0.5, 0.8), 4));
assertAggregation(
FLOAT_APPROXIMATE_PERCENTILE_ARRAY_AGGREGATION,
ImmutableList.of(2.0f, 3.0f),
createBlockOfReals(1.0f, 2.0f, 3.0f),
createRLEBlock(ImmutableList.of(0.5, 0.99), 3));
assertAggregation(
FLOAT_APPROXIMATE_PERCENTILE_ARRAY_AGGREGATION,
ImmutableList.of(1.0f, 3.0f),
createBlockOfReals(1.0f, null, 2.0f, 2.0f, null, 2.0f, 2.0f, null, 2.0f, 2.0f, null, 3.0f, 3.0f, null, 3.0f, null, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f),
createRLEBlock(ImmutableList.of(0.01, 0.5), 21));
// weighted approx_percentile
assertAggregation(
FLOAT_APPROXIMATE_PERCENTILE_WEIGHTED_AGGREGATION,
null,
createBlockOfReals(null, null),
createLongsBlock(1L, 1L),
createRLEBlock(0.5, 2));
assertAggregation(
FLOAT_APPROXIMATE_PERCENTILE_WEIGHTED_AGGREGATION,
1.0f,
createBlockOfReals(null, 1.0f),
createLongsBlock(1L, 1L),
createRLEBlock(0.5, 2));
assertAggregation(
FLOAT_APPROXIMATE_PERCENTILE_WEIGHTED_AGGREGATION,
2.0f,
createBlockOfReals(null, 1.0f, 2.0f, 3.0f),
createLongsBlock(1L, 1L, 1L, 1L),
createRLEBlock(0.5, 4));
assertAggregation(
FLOAT_APPROXIMATE_PERCENTILE_WEIGHTED_AGGREGATION,
2.0f,
createBlockOfReals(1.0f, 2.0f, 3.0f),
createLongsBlock(1L, 1L, 1L),
createRLEBlock(0.5, 3));
assertAggregation(
FLOAT_APPROXIMATE_PERCENTILE_WEIGHTED_AGGREGATION,
3.0f,
createBlockOfReals(1.0f, null, 2.0f, null, 2.0f, null, 2.0f, null, 3.0f, null, 3.0f, null, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f),
createLongsBlock(1L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L),
createRLEBlock(0.5, 17));
assertAggregation(
FLOAT_APPROXIMATE_PERCENTILE_WEIGHTED_AGGREGATION_WITH_ACCURACY,
9900.0f,
createSequenceBlockOfReal(0, 10000),
createLongRepeatBlock(1, 10000),
createRLEBlock(0.99, 10000),
createRLEBlock(0.001, 10000));
// weighted + array of approx_percentile
assertAggregation(
FLOAT_APPROXIMATE_PERCENTILE_ARRAY_WEIGHTED_AGGREGATION,
ImmutableList.of(1.0f, 2.0f),
createBlockOfReals(1.0f, 2.0f, 3.0f),
createLongsBlock(4L, 2L, 1L),
createRLEBlock(ImmutableList.of(0.5, 0.8), 3));
}
@Test
public void testDoublePartialStep()
throws Exception
{
// regular approx_percentile
assertAggregation(
DOUBLE_APPROXIMATE_PERCENTILE_AGGREGATION,
null,
createDoublesBlock(null, null),
createRLEBlock(0.5, 2));
assertAggregation(
DOUBLE_APPROXIMATE_PERCENTILE_AGGREGATION,
1.0,
createDoublesBlock(null, 1.0),
createRLEBlock(0.5, 2));
assertAggregation(
DOUBLE_APPROXIMATE_PERCENTILE_AGGREGATION,
2.0,
createDoublesBlock(null, 1.0, 2.0, 3.0),
createRLEBlock(0.5, 4));
assertAggregation(
DOUBLE_APPROXIMATE_PERCENTILE_AGGREGATION,
2.0,
createDoublesBlock(1.0, 2.0, 3.0),
createRLEBlock(0.5, 3));
assertAggregation(
DOUBLE_APPROXIMATE_PERCENTILE_AGGREGATION,
3.0,
createDoublesBlock(1.0, null, 2.0, 2.0, null, 2.0, 2.0, null, 2.0, 2.0, null, 3.0, 3.0, null, 3.0, null, 3.0, 4.0, 5.0, 6.0, 7.0),
createRLEBlock(0.5, 21));
// array of approx_percentile
assertAggregation(
DOUBLE_APPROXIMATE_PERCENTILE_ARRAY_AGGREGATION,
null,
createDoublesBlock(null, null),
createRLEBlock(ImmutableList.of(0.5), 2));
assertAggregation(
DOUBLE_APPROXIMATE_PERCENTILE_ARRAY_AGGREGATION,
null,
createDoublesBlock(null, null),
createRLEBlock(ImmutableList.of(0.5, 0.5), 2));
assertAggregation(
DOUBLE_APPROXIMATE_PERCENTILE_ARRAY_AGGREGATION,
ImmutableList.of(1.0, 1.0),
createDoublesBlock(null, 1.0),
createRLEBlock(ImmutableList.of(0.5, 0.5), 2));
assertAggregation(
DOUBLE_APPROXIMATE_PERCENTILE_ARRAY_AGGREGATION,
ImmutableList.of(1.0, 2.0, 3.0),
createDoublesBlock(null, 1.0, 2.0, 3.0),
createRLEBlock(ImmutableList.of(0.2, 0.5, 0.8), 4));
assertAggregation(
DOUBLE_APPROXIMATE_PERCENTILE_ARRAY_AGGREGATION,
ImmutableList.of(2.0, 3.0),
createDoublesBlock(1.0, 2.0, 3.0),
createRLEBlock(ImmutableList.of(0.5, 0.99), 3));
assertAggregation(
DOUBLE_APPROXIMATE_PERCENTILE_ARRAY_AGGREGATION,
ImmutableList.of(1.0, 3.0),
createDoublesBlock(1.0, null, 2.0, 2.0, null, 2.0, 2.0, null, 2.0, 2.0, null, 3.0, 3.0, null, 3.0, null, 3.0, 4.0, 5.0, 6.0, 7.0),
createRLEBlock(ImmutableList.of(0.01, 0.5), 21));
// weighted approx_percentile
assertAggregation(
DOUBLE_APPROXIMATE_PERCENTILE_WEIGHTED_AGGREGATION,
null,
createDoublesBlock(null, null),
createLongsBlock(1L, 1L),
createRLEBlock(0.5, 2));
assertAggregation(
DOUBLE_APPROXIMATE_PERCENTILE_WEIGHTED_AGGREGATION,
1.0,
createDoublesBlock(null, 1.0),
createLongsBlock(1L, 1L),
createRLEBlock(0.5, 2));
assertAggregation(
DOUBLE_APPROXIMATE_PERCENTILE_WEIGHTED_AGGREGATION,
2.0,
createDoublesBlock(null, 1.0, 2.0, 3.0),
createLongsBlock(1L, 1L, 1L, 1L),
createRLEBlock(0.5, 4));
assertAggregation(
DOUBLE_APPROXIMATE_PERCENTILE_WEIGHTED_AGGREGATION,
2.0,
createDoublesBlock(1.0, 2.0, 3.0),
createLongsBlock(1L, 1L, 1L),
createRLEBlock(0.5, 3));
assertAggregation(
DOUBLE_APPROXIMATE_PERCENTILE_WEIGHTED_AGGREGATION,
3.0,
createDoublesBlock(1.0, null, 2.0, null, 2.0, null, 2.0, null, 3.0, null, 3.0, null, 3.0, 4.0, 5.0, 6.0, 7.0),
createLongsBlock(1L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L),
createRLEBlock(0.5, 17));
assertAggregation(
DOUBLE_APPROXIMATE_PERCENTILE_WEIGHTED_AGGREGATION_WITH_ACCURACY,
9900.0,
createDoubleSequenceBlock(0, 10000),
createLongRepeatBlock(1, 10000),
createRLEBlock(0.99, 10000),
createRLEBlock(0.001, 10000));
// weighted + array of approx_percentile
assertAggregation(
DOUBLE_APPROXIMATE_PERCENTILE_ARRAY_WEIGHTED_AGGREGATION,
ImmutableList.of(1.0, 2.0),
createDoublesBlock(1.0, 2.0, 3.0),
createLongsBlock(4L, 2L, 1L),
createRLEBlock(ImmutableList.of(0.5, 0.8), 3));
}
private static RunLengthEncodedBlock createRLEBlock(double percentile, int positionCount)
{
BlockBuilder blockBuilder = DOUBLE.createBlockBuilder(new BlockBuilderStatus(), 1);
DOUBLE.writeDouble(blockBuilder, percentile);
return new RunLengthEncodedBlock(blockBuilder.build(), positionCount);
}
private static RunLengthEncodedBlock createRLEBlock(Iterable<Double> percentiles, int positionCount)
{
BlockBuilder rleBlockBuilder = new ArrayType(DOUBLE).createBlockBuilder(new BlockBuilderStatus(), 1);
BlockBuilder arrayBlockBuilder = rleBlockBuilder.beginBlockEntry();
for (double percentile : percentiles) {
DOUBLE.writeDouble(arrayBlockBuilder, percentile);
}
rleBlockBuilder.closeEntry();
return new RunLengthEncodedBlock(rleBlockBuilder.build(), positionCount);
}
}