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Fix writing of parquet bloom filters #23604
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61 changes: 61 additions & 0 deletions
61
lib/trino-parquet/src/test/java/io/trino/parquet/writer/TestColumnWriterBenchmark.java
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Original file line number | Diff line number | Diff line change |
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/* | ||
* 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 io.trino.parquet.writer; | ||
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import com.google.common.collect.ImmutableList; | ||
import org.junit.jupiter.api.Test; | ||
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import java.io.IOException; | ||
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final class TestColumnWriterBenchmark | ||
{ | ||
@Test | ||
void testLongColumnWriterBenchmark() | ||
throws IOException | ||
{ | ||
for (int bitWidth = 1; bitWidth <= 64; bitWidth += 4) { | ||
for (AbstractColumnWriterBenchmark.BloomFilterType bloomFilterType : AbstractColumnWriterBenchmark.BloomFilterType.values()) { | ||
for (int maxDictionaryPageSize : ImmutableList.of(1, 1048576)) { | ||
BenchmarkLongColumnWriter benchmark = new BenchmarkLongColumnWriter(); | ||
benchmark.bitWidth = bitWidth; | ||
benchmark.bloomFilterType = bloomFilterType; | ||
benchmark.maxDictionaryPageSize = maxDictionaryPageSize; | ||
benchmark.setup(); | ||
benchmark.write(); | ||
} | ||
} | ||
} | ||
} | ||
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@Test | ||
void testBinaryColumnWriterBenchmark() | ||
throws IOException | ||
{ | ||
for (BenchmarkBinaryColumnWriter.FieldType fieldType : BenchmarkBinaryColumnWriter.FieldType.values()) { | ||
for (BenchmarkBinaryColumnWriter.PositionLength positionLength : BenchmarkBinaryColumnWriter.PositionLength.values()) { | ||
for (AbstractColumnWriterBenchmark.BloomFilterType bloomFilterType : AbstractColumnWriterBenchmark.BloomFilterType.values()) { | ||
for (int maxDictionaryPageSize : ImmutableList.of(1, 1048576)) { | ||
BenchmarkBinaryColumnWriter benchmark = new BenchmarkBinaryColumnWriter(); | ||
benchmark.type = fieldType; | ||
benchmark.positionLength = positionLength; | ||
benchmark.bloomFilterType = bloomFilterType; | ||
benchmark.maxDictionaryPageSize = maxDictionaryPageSize; | ||
benchmark.setup(); | ||
benchmark.write(); | ||
} | ||
} | ||
} | ||
} | ||
} | ||
} |
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Why we can't have both always? Seems like we should be able to perform bloom filtering even in the presence of dictionaries?
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For fully dictionary encoded columns, the reader is already able to perform row-group pruning based on dictionary entries. Having a bloom filter doesn't give us anything extra.
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I thought that bloom filters could be more efficient at filtering for tactical (e.g. single value search) queries.
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It's lookup in a set vs lookup in a bloom filter. The CPU difference will be barely noticeable compared to everything else that goes on in parquet reader. Reading bloom filter takes extra reads from file and potentially has false positives.