voonhous commented on code in PR #4164: URL: https://github.com/apache/flink-cdc/pull/4164#discussion_r2493399849
########## flink-cdc-connect/flink-cdc-pipeline-connectors/flink-cdc-pipeline-connector-hudi/src/main/java/org/apache/flink/cdc/connectors/hudi/sink/util/RowDataUtils.java: ########## @@ -0,0 +1,583 @@ +/* + * 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.cdc.connectors.hudi.sink.util; + +import org.apache.flink.cdc.common.data.DecimalData; +import org.apache.flink.cdc.common.data.RecordData; +import org.apache.flink.cdc.common.data.RecordData.FieldGetter; +import org.apache.flink.cdc.common.event.ChangeEvent; +import org.apache.flink.cdc.common.event.DataChangeEvent; +import org.apache.flink.cdc.common.event.OperationType; +import org.apache.flink.cdc.common.schema.Column; +import org.apache.flink.cdc.common.schema.Schema; +import org.apache.flink.cdc.common.types.DataType; +import org.apache.flink.cdc.common.types.DataTypeChecks; +import org.apache.flink.table.data.GenericRowData; +import org.apache.flink.table.data.RowData; +import org.apache.flink.table.data.TimestampData; +import org.apache.flink.table.types.logical.BigIntType; +import org.apache.flink.table.types.logical.BinaryType; +import org.apache.flink.table.types.logical.BooleanType; +import org.apache.flink.table.types.logical.CharType; +import org.apache.flink.table.types.logical.DateType; +import org.apache.flink.table.types.logical.DoubleType; +import org.apache.flink.table.types.logical.FloatType; +import org.apache.flink.table.types.logical.IntType; +import org.apache.flink.table.types.logical.LocalZonedTimestampType; +import org.apache.flink.table.types.logical.LogicalType; +import org.apache.flink.table.types.logical.RowType; +import org.apache.flink.table.types.logical.SmallIntType; +import org.apache.flink.table.types.logical.TimeType; +import org.apache.flink.table.types.logical.TimestampType; +import org.apache.flink.table.types.logical.TinyIntType; +import org.apache.flink.table.types.logical.VarBinaryType; +import org.apache.flink.table.types.logical.VarCharType; +import org.apache.flink.types.RowKind; + +import org.apache.hudi.client.model.HoodieFlinkInternalRow; + +import java.time.ZoneId; +import java.util.ArrayList; +import java.util.List; +import java.util.stream.Collectors; + +import static org.apache.flink.cdc.common.types.DataTypeChecks.getFieldCount; +import static org.apache.flink.cdc.common.types.DataTypeChecks.getPrecision; + +/** Utils for converting {@link RowData} and {@link DataChangeEvent}. */ +public class RowDataUtils { + + /** Convert {@link DataChangeEvent} to {@link RowData}. */ + public static RowData convertDataChangeEventToRowData( + ChangeEvent changeEvent, List<FieldGetter> fieldGetters) { + + if (!(changeEvent instanceof DataChangeEvent)) { + throw new IllegalArgumentException("ChangeEvent must be of type DataChangeEvent"); + } + + DataChangeEvent dataChangeEvent = (DataChangeEvent) changeEvent; + + RecordData recordData; + RowKind kind; + switch (dataChangeEvent.op()) { + case INSERT: + case UPDATE: + case REPLACE: + { + recordData = dataChangeEvent.after(); + kind = RowKind.INSERT; + break; + } + case DELETE: + { + recordData = dataChangeEvent.before(); + kind = RowKind.DELETE; + break; + } + default: + throw new IllegalArgumentException("don't support type of " + dataChangeEvent.op()); + } + GenericRowData genericRowData = new GenericRowData(recordData.getArity()); + genericRowData.setRowKind(kind); + for (int i = 0; i < recordData.getArity(); i++) { + genericRowData.setField(i, fieldGetters.get(i).getFieldOrNull(recordData)); + } + return genericRowData; + } + + public static List<FieldGetter> createFieldGetters(Schema schema, ZoneId zoneId) { + List<Column> columns = schema.getColumns(); + List<FieldGetter> fieldGetters = new ArrayList<>(columns.size()); + for (int i = 0; i < columns.size(); i++) { + fieldGetters.add(createFieldGetter(columns.get(i).getType(), i, zoneId)); + } + return fieldGetters; + } + + /** Create a {@link FieldGetter} for the given {@link DataType}. */ + public static FieldGetter createFieldGetter(DataType fieldType, int fieldPos, ZoneId zoneId) { + final FieldGetter fieldGetter; + // ordered by type root definition + switch (fieldType.getTypeRoot()) { + case CHAR: + case VARCHAR: + fieldGetter = + row -> + org.apache.flink.table.data.StringData.fromString( + row.getString(fieldPos).toString()); + break; + case BOOLEAN: + fieldGetter = row -> row.getBoolean(fieldPos); + break; + case BINARY: + case VARBINARY: + fieldGetter = row -> row.getBinary(fieldPos); + break; + case DECIMAL: + final int decimalScale = DataTypeChecks.getScale(fieldType); + int precision = getPrecision(fieldType); + fieldGetter = + row -> { + DecimalData decimalData = + row.getDecimal(fieldPos, precision, decimalScale); + return org.apache.flink.table.data.DecimalData.fromBigDecimal( + decimalData.toBigDecimal(), precision, decimalScale); + }; + break; + case TINYINT: + fieldGetter = row -> row.getBoolean(fieldPos); + break; + case SMALLINT: + fieldGetter = row -> row.getInt(fieldPos); + break; + case BIGINT: + fieldGetter = row -> row.getLong(fieldPos); + break; + case FLOAT: + fieldGetter = row -> row.getFloat(fieldPos); + break; + case DOUBLE: + fieldGetter = row -> row.getDouble(fieldPos); + break; + case INTEGER: + case DATE: + case TIME_WITHOUT_TIME_ZONE: + fieldGetter = (row) -> row.getInt(fieldPos); + break; + case TIMESTAMP_WITHOUT_TIME_ZONE: + fieldGetter = + (row) -> + TimestampData.fromTimestamp( + row.getTimestamp(fieldPos, getPrecision(fieldType)) + .toTimestamp()); + break; + case TIMESTAMP_WITH_LOCAL_TIME_ZONE: + fieldGetter = + row -> + TimestampData.fromInstant( + row.getLocalZonedTimestampData( + fieldPos, + DataTypeChecks.getPrecision(fieldType)) + .toInstant()); + break; + case TIMESTAMP_WITH_TIME_ZONE: + fieldGetter = + (row) -> + TimestampData.fromTimestamp( + row.getZonedTimestamp(fieldPos, getPrecision(fieldType)) + .toTimestamp()); + break; + case ROW: + final int rowFieldCount = getFieldCount(fieldType); + fieldGetter = row -> row.getRow(fieldPos, rowFieldCount); + break; + default: + throw new IllegalArgumentException( + "don't support type of " + fieldType.getTypeRoot()); + } + if (!fieldType.isNullable()) { + return fieldGetter; + } + return row -> { + if (row.isNullAt(fieldPos)) { + return null; + } + return fieldGetter.getFieldOrNull(row); + }; + } + + /** + * Convert a DataChangeEvent to a HoodieFlinkInternalRow. + * + * @param dataChangeEvent The DataChangeEvent to convert + * @param schema Schema for the table + * @param zoneId Time zone for timestamp conversion + * @param recordKey The record key extracted from the event + * @param partitionPath The partition path extracted from the event + * @param fileId The file ID for the record + * @param instantTime The instant time for the record + * @return HoodieFlinkInternalRow containing the converted data + */ + public static HoodieFlinkInternalRow convertDataChangeEventToHoodieFlinkInternalRow( + DataChangeEvent dataChangeEvent, + Schema schema, + ZoneId zoneId, + String recordKey, + String partitionPath, + String fileId, + String instantTime) { + + // Convert DataChangeEvent to RowData using existing utility + List<FieldGetter> fieldGetters = createFieldGetters(schema, zoneId); + RowData rowData = convertDataChangeEventToRowData(dataChangeEvent, fieldGetters); + + // Map CDC operation to Hudi operation type + String operationType = mapCdcOperationToHudiOperation(dataChangeEvent.op()); + + // Create and return HoodieFlinkInternalRow + return new HoodieFlinkInternalRow( + recordKey, // Record key + partitionPath, // Partition path + fileId, // File ID + instantTime, // Instant time + operationType, // Operation type + false, // isIndexRecord + rowData // Row data + ); + } + + /** + * Convert a DataChangeEvent to a HoodieFlinkInternalRow with automatic record key and partition + * path extraction. + * + * @param dataChangeEvent The DataChangeEvent to convert + * @param schema Schema for the table + * @param zoneId Time zone for timestamp conversion + * @param fileId The file ID for the record + * @param instantTime The instant time for the record + * @return HoodieFlinkInternalRow containing the converted data + */ + public static HoodieFlinkInternalRow convertDataChangeEventToHoodieFlinkInternalRow( + DataChangeEvent dataChangeEvent, + Schema schema, + ZoneId zoneId, + String fileId, + String instantTime) { + + // Extract record key from primary key fields + String recordKey = extractRecordKeyFromDataChangeEvent(dataChangeEvent, schema); 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