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[Iceberg] Write Presto statistics to HMS
This change adds the ability for Hive-configured Iceberg connectors to write calculated table statistics from ANALYZE into the Hive metastore.
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presto-hive-metastore/src/main/java/com/facebook/presto/hive/HiveStatisticsUtil.java
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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 com.facebook.presto.hive; | ||
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| import com.facebook.presto.common.block.Block; | ||
| import com.facebook.presto.common.type.Type; | ||
| import com.facebook.presto.hive.metastore.HiveColumnStatistics; | ||
| import com.facebook.presto.hive.metastore.PartitionStatistics; | ||
| import com.facebook.presto.spi.ConnectorSession; | ||
| import com.facebook.presto.spi.statistics.ColumnStatisticMetadata; | ||
| import com.facebook.presto.spi.statistics.ComputedStatistics; | ||
| import com.google.common.base.VerifyException; | ||
| import com.google.common.collect.ImmutableMap; | ||
| import org.joda.time.DateTimeZone; | ||
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|
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| import java.util.List; | ||
| import java.util.Map; | ||
| import java.util.Optional; | ||
| import java.util.OptionalLong; | ||
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|
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| import static com.facebook.presto.common.type.BigintType.BIGINT; | ||
| import static com.facebook.presto.hive.metastore.Statistics.fromComputedStatistics; | ||
| import static com.facebook.presto.spi.statistics.TableStatisticType.ROW_COUNT; | ||
| import static com.google.common.base.Verify.verify; | ||
|
|
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| public class HiveStatisticsUtil | ||
| { | ||
| private HiveStatisticsUtil() | ||
| { | ||
| } | ||
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| public static PartitionStatistics createPartitionStatistics( | ||
| ConnectorSession session, | ||
| HiveBasicStatistics basicStatistics, | ||
| Map<String, Type> columnTypes, | ||
| Map<ColumnStatisticMetadata, Block> computedColumnStatistics, | ||
| DateTimeZone timeZone) | ||
| { | ||
| long rowCount = basicStatistics.getRowCount().orElseThrow(() -> new IllegalArgumentException("rowCount not present")); | ||
| Map<String, HiveColumnStatistics> columnStatistics = fromComputedStatistics( | ||
| session, | ||
| timeZone, | ||
| computedColumnStatistics, | ||
| columnTypes, | ||
| rowCount); | ||
| return new PartitionStatistics(basicStatistics, columnStatistics); | ||
| } | ||
|
|
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| public static PartitionStatistics createPartitionStatistics( | ||
| ConnectorSession session, | ||
| Map<String, Type> columnTypes, | ||
| ComputedStatistics computedStatistics, | ||
| DateTimeZone timeZone) | ||
| { | ||
| Map<ColumnStatisticMetadata, Block> computedColumnStatistics = computedStatistics.getColumnStatistics(); | ||
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| Block rowCountBlock = Optional.ofNullable(computedStatistics.getTableStatistics().get(ROW_COUNT)) | ||
| .orElseThrow(() -> new VerifyException("rowCount not present")); | ||
| verify(!rowCountBlock.isNull(0), "rowCount must never be null"); | ||
| long rowCount = BIGINT.getLong(rowCountBlock, 0); | ||
| HiveBasicStatistics rowCountOnlyBasicStatistics = new HiveBasicStatistics(OptionalLong.empty(), OptionalLong.of(rowCount), OptionalLong.empty(), OptionalLong.empty()); | ||
| return createPartitionStatistics(session, rowCountOnlyBasicStatistics, columnTypes, computedColumnStatistics, timeZone); | ||
| } | ||
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| public static Map<ColumnStatisticMetadata, Block> getColumnStatistics(Map<List<String>, ComputedStatistics> statistics, List<String> partitionValues) | ||
| { | ||
| return Optional.ofNullable(statistics.get(partitionValues)) | ||
| .map(ComputedStatistics::getColumnStatistics) | ||
| .orElse(ImmutableMap.of()); | ||
| } | ||
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| // TODO: Collect file count, on-disk size and in-memory size during ANALYZE | ||
| /** | ||
| * This method updates old {@link PartitionStatistics} with new statistics, only if the new | ||
| * partition stats are not empty. This method always overwrites each of the | ||
| * {@link HiveColumnStatistics} contained in the new partition statistics. | ||
| * | ||
| * @param oldPartitionStats old version of partition statistics | ||
| * @param newPartitionStats new version of partition statistics | ||
| * @return updated partition statistics | ||
| */ | ||
| public static PartitionStatistics updatePartitionStatistics(PartitionStatistics oldPartitionStats, PartitionStatistics newPartitionStats) | ||
| { | ||
| HiveBasicStatistics oldBasicStatistics = oldPartitionStats.getBasicStatistics(); | ||
| HiveBasicStatistics newBasicStatistics = newPartitionStats.getBasicStatistics(); | ||
| HiveBasicStatistics updatedBasicStatistics = new HiveBasicStatistics( | ||
| firstPresent(newBasicStatistics.getFileCount(), oldBasicStatistics.getFileCount()), | ||
| firstPresent(newBasicStatistics.getRowCount(), oldBasicStatistics.getRowCount()), | ||
| firstPresent(newBasicStatistics.getInMemoryDataSizeInBytes(), oldBasicStatistics.getInMemoryDataSizeInBytes()), | ||
| firstPresent(newBasicStatistics.getOnDiskDataSizeInBytes(), oldBasicStatistics.getOnDiskDataSizeInBytes())); | ||
| return new PartitionStatistics(updatedBasicStatistics, newPartitionStats.getColumnStatistics()); | ||
| } | ||
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| private static OptionalLong firstPresent(OptionalLong first, OptionalLong second) | ||
| { | ||
| return first.isPresent() ? first : second; | ||
| } | ||
| } |
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