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Posted to issues@flink.apache.org by GitBox <gi...@apache.org> on 2022/06/09 09:34:20 UTC
[GitHub] [flink-table-store] JingsongLi commented on a diff in pull request #134: [FLINK-27207] Support built-in parquet format
JingsongLi commented on code in PR #134:
URL: https://github.com/apache/flink-table-store/pull/134#discussion_r893287683
##########
flink-table-store-format/src/main/java/org/apache/flink/table/store/format/parquet/ParquetUtil.java:
##########
@@ -0,0 +1,144 @@
+/*
+ * 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.table.data.DecimalData;
+import org.apache.flink.table.store.file.stats.FieldStats;
+import org.apache.flink.table.types.logical.RowType;
+
+import org.apache.hadoop.conf.Configuration;
+import org.apache.hadoop.fs.Path;
+import org.apache.parquet.ParquetReadOptions;
+import org.apache.parquet.column.statistics.BinaryStatistics;
+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.hadoop.ParquetFileReader;
+import org.apache.parquet.hadoop.metadata.BlockMetaData;
+import org.apache.parquet.hadoop.metadata.ColumnChunkMetaData;
+import org.apache.parquet.hadoop.metadata.ParquetMetadata;
+import org.apache.parquet.hadoop.util.HadoopInputFile;
+import org.apache.parquet.schema.PrimitiveType;
+
+import java.io.IOException;
+import java.math.BigDecimal;
+import java.math.BigInteger;
+import java.util.HashMap;
+import java.util.List;
+import java.util.Map;
+
+/** parquet utility, support for extracting metadata and etc. */
+public class ParquetUtil {
+
+ /**
+ * @param path the path of parquet files to be read
+ * @return result sets as map, key is column name, value is statistics (for example, null count,
+ * minimum value, maximum value)
+ * @throws IOException
+ */
+ public static Map<String, Statistics> extractColumnStats(Path path) throws IOException {
+ ParquetMetadata parquetMetadata = getParquetReader(path).getFooter();
+ List<BlockMetaData> blockMetaDataList = parquetMetadata.getBlocks();
+ Map<String, Statistics> resultStats = new HashMap<>();
+ for (BlockMetaData blockMetaData : blockMetaDataList) {
+ List<ColumnChunkMetaData> columnChunkMetaDataList = blockMetaData.getColumns();
+ for (ColumnChunkMetaData columnChunkMetaData : columnChunkMetaDataList) {
+ Statistics stats = columnChunkMetaData.getStatistics();
+ String columnName = columnChunkMetaData.getPath().toDotString();
+ Statistics midStats;
+ if (!resultStats.containsKey(columnName)) {
+ midStats = stats;
+ } else {
+ midStats = resultStats.get(columnName);
+ midStats.mergeStatistics(stats);
+ }
+ resultStats.put(columnName, midStats);
+ }
+ }
+ return resultStats;
+ }
+
+ /**
+ * @param path the path of parquet files to be read
+ * @return parquet reader, used for reading footer, status, etc.
+ * @throws IOException
+ */
+ public static ParquetFileReader getParquetReader(Path path) throws IOException {
+ HadoopInputFile hadoopInputFile = HadoopInputFile.fromPath(path, new Configuration());
+ return ParquetFileReader.open(hadoopInputFile, ParquetReadOptions.builder().build());
+ }
+
+ /**
+ * parquet cannot provide statistics for decimal fields directly, but we can extract them from
+ * primitive statistics.
+ */
+ public static FieldStats convertStatsToDecimalFieldStats(
Review Comment:
This method should belong to `ParquetFileStatsExtractor`?
##########
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:
What will be the situation here?
##########
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(
Review Comment:
Does this mean that we can not support timestamp type for parquet now?
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