liyubin117 commented on code in PR #134: URL: https://github.com/apache/flink-table-store/pull/134#discussion_r898830275
########## flink-table-store-format/src/main/java/org/apache/flink/table/store/format/parquet/ParquetFileStatsExtractor.java: ########## @@ -0,0 +1,157 @@ +/* + * 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.flink.table.store.format.parquet; + +import org.apache.flink.core.fs.Path; +import org.apache.flink.table.data.StringData; +import org.apache.flink.table.store.file.stats.FieldStats; +import org.apache.flink.table.store.file.stats.FileStatsExtractor; +import org.apache.flink.table.types.logical.DecimalType; +import org.apache.flink.table.types.logical.LogicalTypeRoot; +import org.apache.flink.table.types.logical.RowType; +import org.apache.flink.table.utils.DateTimeUtils; + +import org.apache.parquet.column.statistics.BinaryStatistics; +import org.apache.parquet.column.statistics.BooleanStatistics; +import org.apache.parquet.column.statistics.DoubleStatistics; +import org.apache.parquet.column.statistics.FloatStatistics; +import org.apache.parquet.column.statistics.IntStatistics; +import org.apache.parquet.column.statistics.LongStatistics; +import org.apache.parquet.column.statistics.Statistics; +import org.apache.parquet.schema.LogicalTypeAnnotation; +import org.apache.parquet.schema.PrimitiveType; + +import java.io.IOException; +import java.time.Instant; +import java.time.LocalDate; +import java.time.OffsetDateTime; +import java.time.ZoneOffset; +import java.util.Map; +import java.util.stream.IntStream; + +import static org.apache.flink.table.store.format.parquet.ParquetUtil.assertStatsClass; +import static org.apache.flink.table.store.format.parquet.ParquetUtil.convertStatsToDecimalFieldStats; + +/** {@link FileStatsExtractor} for parquet files. */ +public class ParquetFileStatsExtractor implements FileStatsExtractor { + + private final RowType rowType; + private static final OffsetDateTime EPOCH = Instant.ofEpochSecond(0).atOffset(ZoneOffset.UTC); + private static final LocalDate EPOCH_DAY = EPOCH.toLocalDate(); + + public ParquetFileStatsExtractor(RowType rowType) { + this.rowType = rowType; + } + + @Override + public FieldStats[] extract(Path path) throws IOException { + org.apache.hadoop.fs.Path hadoopPath = new org.apache.hadoop.fs.Path(path.toUri()); + Map<String, Statistics> stats = ParquetUtil.extractColumnStats(hadoopPath); + + return IntStream.range(0, rowType.getFieldCount()) + .mapToObj( + i -> { + RowType.RowField field = rowType.getFields().get(i); + return toFieldStats(field, stats.get(field.getName())); + }) + .toArray(FieldStats[]::new); + } + + private FieldStats toFieldStats(RowType.RowField field, Statistics stats) { + LogicalTypeRoot flinkType = field.getType().getTypeRoot(); + if (stats == null + || flinkType == LogicalTypeRoot.TIMESTAMP_WITH_LOCAL_TIME_ZONE + || flinkType == LogicalTypeRoot.TIMESTAMP_WITHOUT_TIME_ZONE) { + throw new UnsupportedOperationException( + "type " + + field.getType().getTypeRoot() + + " not supported for extracting statistics in parquet format"); + } + long nullCount = stats.getNumNulls(); + if (!stats.hasNonNullValue()) { + return new FieldStats(null, null, nullCount); + } + + switch (flinkType) { + case CHAR: + case VARCHAR: + assertStatsClass(field, stats, BinaryStatistics.class); + BinaryStatistics binaryStats = (BinaryStatistics) stats; + return new FieldStats( + StringData.fromString(binaryStats.minAsString()), + StringData.fromString(binaryStats.maxAsString()), + nullCount); + case BOOLEAN: + assertStatsClass(field, stats, BooleanStatistics.class); + BooleanStatistics boolStats = (BooleanStatistics) stats; + return new FieldStats(boolStats.getMin(), boolStats.getMax(), nullCount); + case DECIMAL: + PrimitiveType primitive = stats.type(); + DecimalType decimalType = (DecimalType) (field.getType()); + int precision = decimalType.getPrecision(); + int scale = decimalType.getScale(); + if (primitive.getOriginalType() != null + && primitive.getLogicalTypeAnnotation() + instanceof LogicalTypeAnnotation.DecimalLogicalTypeAnnotation) { + return convertStatsToDecimalFieldStats( + primitive, field, stats, precision, scale, nullCount); + } else { + return new FieldStats(null, null, nullCount); Review Comment: most types has been covered, only several types like TimeType will trigger 'else' condition -- This is an automated message from the Apache Git Service. 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