[Flink] Support analysis statistics in flink #4280
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| /* | ||
| * Licensed to the Apache Software Foundation (ASF) under one | ||
| * or more contributor license agreements. See the NOTICE file | ||
| * distributed with this work for additional information | ||
| * regarding copyright ownership. The ASF licenses this file | ||
| * to you 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 org.apache.paimon.flink.utils; | ||
|
|
||
| import org.apache.paimon.Snapshot; | ||
| import org.apache.paimon.data.Decimal; | ||
| import org.apache.paimon.io.DataFileMeta; | ||
| import org.apache.paimon.stats.ColStats; | ||
| import org.apache.paimon.stats.Statistics; | ||
| import org.apache.paimon.table.FileStoreTable; | ||
| import org.apache.paimon.table.source.DataSplit; | ||
| import org.apache.paimon.types.DataField; | ||
| import org.apache.paimon.types.DataTypeRoot; | ||
| import org.apache.paimon.utils.Preconditions; | ||
|
|
||
| import org.apache.flink.table.catalog.exceptions.CatalogException; | ||
| import org.apache.flink.table.catalog.stats.CatalogColumnStatistics; | ||
| import org.apache.flink.table.catalog.stats.CatalogColumnStatisticsDataBase; | ||
| import org.apache.flink.table.catalog.stats.CatalogColumnStatisticsDataBinary; | ||
| import org.apache.flink.table.catalog.stats.CatalogColumnStatisticsDataBoolean; | ||
| import org.apache.flink.table.catalog.stats.CatalogColumnStatisticsDataDate; | ||
| import org.apache.flink.table.catalog.stats.CatalogColumnStatisticsDataDouble; | ||
| import org.apache.flink.table.catalog.stats.CatalogColumnStatisticsDataLong; | ||
| import org.apache.flink.table.catalog.stats.CatalogColumnStatisticsDataString; | ||
| import org.apache.flink.table.catalog.stats.CatalogTableStatistics; | ||
|
|
||
| import javax.annotation.Nullable; | ||
|
|
||
| import java.math.BigDecimal; | ||
| import java.sql.Timestamp; | ||
| import java.util.HashMap; | ||
| import java.util.List; | ||
| import java.util.Map; | ||
|
|
||
| /** Utility methods for analysis table. */ | ||
| public class TableStatsUtil { | ||
|
|
||
| /** create Paimon statistics. */ | ||
| @Nullable | ||
| public static Statistics createTableStats( | ||
| FileStoreTable table, CatalogTableStatistics catalogTableStatistics) { | ||
| Snapshot snapshot = table.snapshotManager().latestSnapshot(); | ||
| long mergedRecordCount = catalogTableStatistics.getRowCount(); | ||
| if (snapshot.totalRecordCount() == null) { | ||
| return null; | ||
| } | ||
| long totalRecordCount = snapshot.totalRecordCount(); | ||
|
There was a problem hiding this comment. Check totalRecordCount is null. |
||
| Preconditions.checkState( | ||
| totalRecordCount >= mergedRecordCount, | ||
| "totalRecordCount: $totalRecordCount should be greater or equal than mergedRecordCount: $mergedRecordCount."); | ||
| long totalSize = | ||
| table.newScan().plan().splits().stream() | ||
| .flatMap(split -> ((DataSplit) split).dataFiles().stream()) | ||
| .mapToLong(DataFileMeta::fileSize) | ||
| .sum(); | ||
| long mergedRecordSize = | ||
| (long) (totalSize * ((double) mergedRecordCount / totalRecordCount)); | ||
|
|
||
| // convert to paimon stats | ||
| return new Statistics( | ||
| snapshot.id(), snapshot.schemaId(), mergedRecordCount, mergedRecordSize); | ||
| } | ||
|
|
||
| /** Create Paimon statistics from given Flink columnStatistics. */ | ||
| @Nullable | ||
| public static Statistics createTableColumnStats( | ||
| FileStoreTable table, CatalogColumnStatistics columnStatistics) { | ||
| if (!table.statistics().isPresent()) { | ||
| return null; | ||
| } | ||
| Statistics statistics = table.statistics().get(); | ||
|
There was a problem hiding this comment. 'Optional.get()' without 'isPresent()' check |
||
| List<DataField> fields = table.schema().fields(); | ||
| Map<String, ColStats<?>> tableColumnStatsMap = new HashMap<>(fields.size()); | ||
| for (DataField field : fields) { | ||
| CatalogColumnStatisticsDataBase catalogColumnStatisticsDataBase = | ||
| columnStatistics.getColumnStatisticsData().get(field.name()); | ||
| if (catalogColumnStatisticsDataBase == null) { | ||
| continue; | ||
| } | ||
| tableColumnStatsMap.put( | ||
| field.name(), getPaimonColStats(field, catalogColumnStatisticsDataBase)); | ||
| } | ||
| statistics.colStats().putAll(tableColumnStatsMap); | ||
| return statistics; | ||
| } | ||
|
|
||
| /** Convert Flink ColumnStats to Paimon ColStats according to Paimon column type. */ | ||
| private static ColStats<?> getPaimonColStats( | ||
| DataField field, CatalogColumnStatisticsDataBase colStat) { | ||
| DataTypeRoot typeRoot = field.type().getTypeRoot(); | ||
| if (colStat instanceof CatalogColumnStatisticsDataString) { | ||
| CatalogColumnStatisticsDataString stringColStat = | ||
| (CatalogColumnStatisticsDataString) colStat; | ||
| if (typeRoot.equals(DataTypeRoot.CHAR) || typeRoot.equals(DataTypeRoot.VARCHAR)) { | ||
| return ColStats.newColStats( | ||
| field.id(), | ||
| null != stringColStat.getNdv() ? stringColStat.getNdv() : null, | ||
| null, | ||
| null, | ||
| null != stringColStat.getNullCount() ? stringColStat.getNullCount() : null, | ||
| null != stringColStat.getAvgLength() | ||
| ? stringColStat.getAvgLength().longValue() | ||
| : null, | ||
| null != stringColStat.getMaxLength() ? stringColStat.getMaxLength() : null); | ||
| } | ||
| } else if (colStat instanceof CatalogColumnStatisticsDataBoolean) { | ||
| CatalogColumnStatisticsDataBoolean booleanColStat = | ||
| (CatalogColumnStatisticsDataBoolean) colStat; | ||
| if (typeRoot.equals(DataTypeRoot.BOOLEAN)) { | ||
| return ColStats.newColStats( | ||
| field.id(), | ||
| (booleanColStat.getFalseCount() > 0 ? 1L : 0) | ||
| + (booleanColStat.getTrueCount() > 0 ? 1L : 0), | ||
| null, | ||
| null, | ||
| booleanColStat.getNullCount(), | ||
| null, | ||
| null); | ||
| } | ||
| } else if (colStat instanceof CatalogColumnStatisticsDataLong) { | ||
| CatalogColumnStatisticsDataLong longColStat = (CatalogColumnStatisticsDataLong) colStat; | ||
| if (typeRoot.equals(DataTypeRoot.INTEGER)) { | ||
| return ColStats.newColStats( | ||
| field.id(), | ||
| null != longColStat.getNdv() ? longColStat.getNdv() : null, | ||
| null != longColStat.getMin() ? longColStat.getMin().intValue() : null, | ||
| null != longColStat.getMax() ? longColStat.getMax().intValue() : null, | ||
| null != longColStat.getNullCount() ? longColStat.getNullCount() : null, | ||
| null, | ||
| null); | ||
| } else if (typeRoot.equals(DataTypeRoot.TINYINT)) { | ||
| return ColStats.newColStats( | ||
| field.id(), | ||
| null != longColStat.getNdv() ? longColStat.getNdv() : null, | ||
| null != longColStat.getMin() ? longColStat.getMin().byteValue() : null, | ||
| null != longColStat.getMax() ? longColStat.getMax().byteValue() : null, | ||
| null != longColStat.getNullCount() ? longColStat.getNullCount() : null, | ||
| null, | ||
| null); | ||
|
|
||
| } else if (typeRoot.equals(DataTypeRoot.SMALLINT)) { | ||
| return ColStats.newColStats( | ||
| field.id(), | ||
| null != longColStat.getNdv() ? longColStat.getNdv() : null, | ||
| null != longColStat.getMin() ? longColStat.getMin().shortValue() : null, | ||
| null != longColStat.getMax() ? longColStat.getMax().shortValue() : null, | ||
| null != longColStat.getNullCount() ? longColStat.getNullCount() : null, | ||
| null, | ||
| null); | ||
| } else if (typeRoot.equals(DataTypeRoot.BIGINT)) { | ||
| return ColStats.newColStats( | ||
| field.id(), | ||
| null != longColStat.getNdv() ? longColStat.getNdv() : null, | ||
| null != longColStat.getMin() ? longColStat.getMin() : null, | ||
| null != longColStat.getMax() ? longColStat.getMax() : null, | ||
| null != longColStat.getNullCount() ? longColStat.getNullCount() : null, | ||
| null, | ||
| null); | ||
| } else if (typeRoot.equals(DataTypeRoot.TIMESTAMP_WITH_LOCAL_TIME_ZONE)) { | ||
| return ColStats.newColStats( | ||
| field.id(), | ||
| null != longColStat.getNdv() ? longColStat.getNdv() : null, | ||
| null != longColStat.getMin() | ||
| ? org.apache.paimon.data.Timestamp.fromSQLTimestamp( | ||
| new Timestamp(longColStat.getMin())) | ||
| : null, | ||
| null != longColStat.getMax() | ||
| ? org.apache.paimon.data.Timestamp.fromSQLTimestamp( | ||
| new Timestamp(longColStat.getMax())) | ||
| : null, | ||
| null != longColStat.getNullCount() ? longColStat.getNullCount() : null, | ||
| null, | ||
| null); | ||
| } | ||
| } else if (colStat instanceof CatalogColumnStatisticsDataDouble) { | ||
| CatalogColumnStatisticsDataDouble doubleColumnStatsData = | ||
| (CatalogColumnStatisticsDataDouble) colStat; | ||
| if (typeRoot.equals(DataTypeRoot.FLOAT)) { | ||
| return ColStats.newColStats( | ||
| field.id(), | ||
| null != doubleColumnStatsData.getNdv() | ||
| ? doubleColumnStatsData.getNdv() | ||
| : null, | ||
| null != doubleColumnStatsData.getMin() | ||
| ? doubleColumnStatsData.getMin().floatValue() | ||
| : null, | ||
| null != doubleColumnStatsData.getMax() | ||
| ? doubleColumnStatsData.getMax().floatValue() | ||
| : null, | ||
| null != doubleColumnStatsData.getNullCount() | ||
| ? doubleColumnStatsData.getNullCount() | ||
| : null, | ||
| null, | ||
| null); | ||
| } else if (typeRoot.equals(DataTypeRoot.DOUBLE)) { | ||
| return ColStats.newColStats( | ||
| field.id(), | ||
| null != doubleColumnStatsData.getNdv() | ||
| ? doubleColumnStatsData.getNdv() | ||
| : null, | ||
| null != doubleColumnStatsData.getMin() | ||
| ? doubleColumnStatsData.getMin() | ||
| : null, | ||
| null != doubleColumnStatsData.getMax() | ||
| ? doubleColumnStatsData.getMax() | ||
| : null, | ||
| null != doubleColumnStatsData.getNullCount() | ||
| ? doubleColumnStatsData.getNullCount() | ||
| : null, | ||
| null, | ||
| null); | ||
| } else if (typeRoot.equals(DataTypeRoot.DECIMAL)) { | ||
| BigDecimal max = BigDecimal.valueOf(doubleColumnStatsData.getMax()); | ||
| BigDecimal min = BigDecimal.valueOf(doubleColumnStatsData.getMin()); | ||
| return ColStats.newColStats( | ||
| field.id(), | ||
| null != doubleColumnStatsData.getNdv() | ||
| ? doubleColumnStatsData.getNdv() | ||
| : null, | ||
| null != doubleColumnStatsData.getMin() | ||
| ? Decimal.fromBigDecimal(min, min.precision(), min.scale()) | ||
| : null, | ||
| null != doubleColumnStatsData.getMax() | ||
| ? Decimal.fromBigDecimal(max, max.precision(), max.scale()) | ||
| : null, | ||
| null != doubleColumnStatsData.getNullCount() | ||
| ? doubleColumnStatsData.getNullCount() | ||
| : null, | ||
| null, | ||
| null); | ||
| } | ||
| } else if (colStat instanceof CatalogColumnStatisticsDataDate) { | ||
| CatalogColumnStatisticsDataDate dateColumnStatsData = | ||
| (CatalogColumnStatisticsDataDate) colStat; | ||
| if (typeRoot.equals(DataTypeRoot.DATE)) { | ||
| return ColStats.newColStats( | ||
| field.id(), | ||
| null != dateColumnStatsData.getNdv() ? dateColumnStatsData.getNdv() : null, | ||
| null != dateColumnStatsData.getMin() | ||
| ? new Long(dateColumnStatsData.getMin().getDaysSinceEpoch()) | ||
| .intValue() | ||
| : null, | ||
| null != dateColumnStatsData.getMax() | ||
| ? new Long(dateColumnStatsData.getMax().getDaysSinceEpoch()) | ||
| .intValue() | ||
| : null, | ||
| null != dateColumnStatsData.getNullCount() | ||
| ? dateColumnStatsData.getNullCount() | ||
| : null, | ||
| null, | ||
| null); | ||
| } | ||
| } else if (colStat instanceof CatalogColumnStatisticsDataBinary) { | ||
| CatalogColumnStatisticsDataBinary binaryColumnStatsData = | ||
| (CatalogColumnStatisticsDataBinary) colStat; | ||
| if (typeRoot.equals(DataTypeRoot.VARBINARY) || typeRoot.equals(DataTypeRoot.BINARY)) { | ||
| return ColStats.newColStats( | ||
| field.id(), | ||
| null, | ||
| null, | ||
| null, | ||
| null != binaryColumnStatsData.getNullCount() | ||
| ? binaryColumnStatsData.getNullCount() | ||
| : null, | ||
| null != binaryColumnStatsData.getAvgLength() | ||
| ? binaryColumnStatsData.getAvgLength().longValue() | ||
| : null, | ||
| null != binaryColumnStatsData.getMaxLength() | ||
| ? binaryColumnStatsData.getMaxLength() | ||
| : null); | ||
| } | ||
| } | ||
| throw new CatalogException( | ||
| String.format( | ||
| "Flink does not support convert ColumnStats '%s' for Paimon column " | ||
| + "type '%s' yet", | ||
| colStat, field.type())); | ||
| } | ||
| } | ||
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1、Same suggests with this method and alterTableStatistics.
2、Abstract a new method named alterTableStatisticsInternal, because alterTableStatistics and alterTableColumnStatistics has lots of same code.