YannByron commented on code in PR #6727: URL: https://github.com/apache/hudi/pull/6727#discussion_r979183281
########## hudi-spark-datasource/hudi-spark-common/src/main/scala/org/apache/hudi/cdc/CDCRelation.scala: ########## @@ -0,0 +1,199 @@ +/* + * 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.hudi.cdc + +import org.apache.hudi.AvroConversionUtils +import org.apache.hudi.DataSourceReadOptions +import org.apache.hudi.HoodieDataSourceHelper +import org.apache.hudi.HoodieTableSchema +import org.apache.hudi.common.table.cdc.HoodieCDCUtils._ +import org.apache.hudi.common.table.cdc.HoodieCDCOperation._ +import org.apache.hudi.common.table.HoodieTableMetaClient +import org.apache.hudi.common.table.TableSchemaResolver +import org.apache.hudi.common.table.cdc.HoodieCDCExtractor +import org.apache.hudi.exception.HoodieException +import org.apache.hudi.internal.schema.InternalSchema + +import org.apache.spark.internal.Logging +import org.apache.spark.rdd.RDD +import org.apache.spark.sql.catalyst.InternalRow +import org.apache.spark.sql.{Row, SQLContext, SparkSession} +import org.apache.spark.sql.sources.{BaseRelation, Filter, PrunedFilteredScan} +import org.apache.spark.sql.types.{StringType, StructField, StructType} +import org.apache.spark.unsafe.types.UTF8String + +import scala.collection.JavaConverters._ +import scala.util.{Failure, Success, Try} + +class CDCRelation( + override val sqlContext: SQLContext, + metaClient: HoodieTableMetaClient, + startInstant: String, + endInstant: String, + options: Map[String, String] +) extends BaseRelation with PrunedFilteredScan with Logging { + + val spark: SparkSession = sqlContext.sparkSession + + val (tableAvroSchema, _) = { + val schemaUtil = new TableSchemaResolver(metaClient) + val avroSchema = Try(schemaUtil.getTableAvroSchema) match { + case Success(schema) => schema + case Failure(e) => + throw new IllegalArgumentException("Failed to fetch schema from the table", e) + } + // try to find internalSchema + val internalSchemaFromMeta = try { + schemaUtil.getTableInternalSchemaFromCommitMetadata.orElse(InternalSchema.getEmptyInternalSchema) + } catch { + case _: Exception => InternalSchema.getEmptyInternalSchema + } + (avroSchema, internalSchemaFromMeta) + } + + val tableStructSchema: StructType = AvroConversionUtils.convertAvroSchemaToStructType(tableAvroSchema) + + val cdcExtractor: HoodieCDCExtractor = new HoodieCDCExtractor(metaClient, startInstant, endInstant) + + override final def needConversion: Boolean = false + + override def schema: StructType = CDCRelation.FULL_CDC_SPARK_SCHEMA + + override def buildScan(requiredColumns: Array[String], filters: Array[Filter]): RDD[Row] = { + val internalRows = buildScan0(requiredColumns, filters) + internalRows.asInstanceOf[RDD[Row]] + } + + def buildScan0(requiredColumns: Array[String], filters: Array[Filter]): RDD[InternalRow] = { + val nameToField = schema.fields.map(f => f.name -> f).toMap + val requiredSchema = StructType(requiredColumns.map(nameToField)) + val originTableSchema = HoodieTableSchema(tableStructSchema, tableAvroSchema.toString) + val parquetReader = HoodieDataSourceHelper.buildHoodieParquetReader( + sparkSession = spark, + dataSchema = tableStructSchema, + partitionSchema = StructType(Nil), + requiredSchema = tableStructSchema, + filters = Nil, + options = options, + hadoopConf = spark.sessionState.newHadoopConf() + ) + + val changes = cdcExtractor.extractCDCFileSplits().values().asScala.map { pairs => + HoodieCDCFileGroupSplit( + pairs.asScala.map(pair => (pair.getLeft, pair.getRight)).sortBy(_._1).toArray + ) + } + val cdcRdd = new HoodieCDCRDD( + spark, + metaClient, + parquetReader, + originTableSchema, + schema, + requiredSchema, + changes.toArray + ) + cdcRdd.asInstanceOf[RDD[InternalRow]] + } +} + +object CDCRelation { + + val CDC_OPERATION_DELETE: UTF8String = UTF8String.fromString(DELETE.getValue) + val CDC_OPERATION_INSERT: UTF8String = UTF8String.fromString(INSERT.getValue) + val CDC_OPERATION_UPDATE: UTF8String = UTF8String.fromString(UPDATE.getValue) + + /** + * CDC Schema For Spark. + * Also it's schema when `hoodie.table.cdc.supplemental.logging.mode` is `cdc_data_before_after`. + * Here we use the debezium format. + */ + val FULL_CDC_SPARK_SCHEMA: StructType = { + StructType( Review Comment: the returned RDD use the json string, not the avro format (that only used inside of hudi). `op`, `ts_ms`, `before` and `after` are the fields given in debezium. -- This is an automated message from the Apache Git Service. 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