JingsongLi commented on a change in pull request #13957: URL: https://github.com/apache/flink/pull/13957#discussion_r519122722
########## File path: flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/filesystem/DeserializationSchemaAdapter.java ########## @@ -0,0 +1,316 @@ +/* + * 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.filesystem; + +import org.apache.flink.api.common.io.DelimitedInputFormat; +import org.apache.flink.api.common.serialization.DeserializationSchema; +import org.apache.flink.api.common.typeinfo.TypeInformation; +import org.apache.flink.configuration.Configuration; +import org.apache.flink.connector.file.src.FileSourceSplit; +import org.apache.flink.connector.file.src.reader.BulkFormat; +import org.apache.flink.connector.file.src.util.ArrayResultIterator; +import org.apache.flink.core.fs.FileInputSplit; +import org.apache.flink.core.fs.Path; +import org.apache.flink.metrics.MetricGroup; +import org.apache.flink.table.api.TableSchema; +import org.apache.flink.table.data.GenericRowData; +import org.apache.flink.table.data.RowData; +import org.apache.flink.table.runtime.typeutils.InternalTypeInfo; +import org.apache.flink.table.types.DataType; +import org.apache.flink.table.types.logical.LogicalType; +import org.apache.flink.table.types.logical.RowType; +import org.apache.flink.table.utils.PartitionPathUtils; +import org.apache.flink.util.Collector; +import org.apache.flink.util.InstantiationUtil; +import org.apache.flink.util.UserCodeClassLoader; + +import javax.annotation.Nullable; + +import java.io.IOException; +import java.util.ArrayDeque; +import java.util.Arrays; +import java.util.List; +import java.util.Queue; +import java.util.stream.Collectors; + +import static org.apache.flink.connector.file.src.util.CheckpointedPosition.NO_OFFSET; +import static org.apache.flink.table.data.vector.VectorizedColumnBatch.DEFAULT_SIZE; + +/** + * Adapter to turn a {@link DeserializationSchema} into a {@link BulkFormat}. + */ +public class DeserializationSchemaAdapter implements BulkFormat<RowData, FileSourceSplit> { + + private static final int BATCH_SIZE = 100; + + // NOTE, deserializationSchema produce full format fields with original order + private final DeserializationSchema<RowData> deserializationSchema; + + private final String[] fieldNames; + private final DataType[] fieldTypes; + private final int[] projectFields; + private final RowType projectedRowType; + + private final List<String> partitionKeys; + private final String defaultPartValue; + + private final int[] toProjectedField; + private final RowData.FieldGetter[] formatFieldGetters; + + public DeserializationSchemaAdapter( + DeserializationSchema<RowData> deserializationSchema, + TableSchema schema, + int[] projectFields, + List<String> partitionKeys, + String defaultPartValue) { + this.deserializationSchema = deserializationSchema; + this.fieldNames = schema.getFieldNames(); + this.fieldTypes = schema.getFieldDataTypes(); + this.projectFields = projectFields; + this.partitionKeys = partitionKeys; + this.defaultPartValue = defaultPartValue; + + List<String> projectedNames = Arrays.stream(projectFields) + .mapToObj(idx -> schema.getFieldNames()[idx]) + .collect(Collectors.toList()); + + this.projectedRowType = RowType.of( + Arrays.stream(projectFields).mapToObj(idx -> + schema.getFieldDataTypes()[idx].getLogicalType()).toArray(LogicalType[]::new), + projectedNames.toArray(new String[0])); + + List<String> formatFields = Arrays.stream(schema.getFieldNames()) + .filter(field -> !partitionKeys.contains(field)) + .collect(Collectors.toList()); + + List<String> formatProjectedFields = projectedNames.stream() + .filter(field -> !partitionKeys.contains(field)) + .collect(Collectors.toList()); + + this.toProjectedField = formatProjectedFields.stream() + .mapToInt(projectedNames::indexOf) + .toArray(); + + this.formatFieldGetters = new RowData.FieldGetter[formatProjectedFields.size()]; + for (int i = 0; i < formatProjectedFields.size(); i++) { + String name = formatProjectedFields.get(i); + this.formatFieldGetters[i] = RowData.createFieldGetter( + schema.getFieldDataType(name).get().getLogicalType(), + formatFields.indexOf(name)); + } + } + + private DeserializationSchema<RowData> createDeserialization() throws IOException { + try { + DeserializationSchema<RowData> deserialization = InstantiationUtil.clone(deserializationSchema); + deserialization.open(new DeserializationSchema.InitializationContext() { + @Override + public MetricGroup getMetricGroup() { + throw new UnsupportedOperationException("MetricGroup is unsupported in BulkFormat."); + } + + @Override + public UserCodeClassLoader getUserCodeClassLoader() { + return (UserCodeClassLoader) Thread.currentThread().getContextClassLoader(); + } + }); + return deserialization; + } catch (Exception e) { + throw new IOException(e); + } + } + + @Override + public Reader createReader(Configuration config, FileSourceSplit split) throws IOException { + return new Reader(config, split); + } + + @Override + public Reader restoreReader(Configuration config, FileSourceSplit split) throws IOException { + Reader reader = new Reader(config, split); + reader.seek(split.getReaderPosition().get().getRecordsAfterOffset()); + return null; Review comment: But there is no way, because the current file system does not support streaming reading ---------------------------------------------------------------- This is an automated message from the Apache Git Service. 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