pengzhiwei2018 commented on a change in pull request #2651: URL: https://github.com/apache/hudi/pull/2651#discussion_r593548510
########## File path: hudi-spark-datasource/hudi-spark/src/main/scala/org/apache/hudi/HoodieFileIndex.scala ########## @@ -0,0 +1,273 @@ +/* + * 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 + +import java.util.Properties + +import scala.collection.JavaConverters._ +import org.apache.hadoop.fs.{FileStatus, Path} +import org.apache.hudi.client.common.HoodieSparkEngineContext +import org.apache.hudi.common.config.{HoodieMetadataConfig, SerializableConfiguration} +import org.apache.hudi.common.fs.FSUtils +import org.apache.hudi.common.model.HoodieBaseFile +import org.apache.hudi.common.table.{HoodieTableMetaClient, TableSchemaResolver} +import org.apache.hudi.common.table.view.HoodieTableFileSystemView +import org.apache.hudi.config.HoodieWriteConfig +import org.apache.spark.api.java.JavaSparkContext +import org.apache.spark.internal.Logging +import org.apache.spark.sql.catalyst.{InternalRow, expressions} +import org.apache.spark.sql.SparkSession +import org.apache.spark.sql.avro.SchemaConverters +import org.apache.spark.sql.catalyst.expressions.{AttributeReference, BoundReference, Expression, InterpretedPredicate} +import org.apache.spark.sql.catalyst.util.{CaseInsensitiveMap, DateTimeUtils} +import org.apache.spark.sql.execution.datasources.{FileIndex, PartitionDirectory, PartitionUtils} +import org.apache.spark.sql.internal.SQLConf +import org.apache.spark.sql.types.StructType + +/** + * A File Index which support partition prune for hoodie snapshot and read-optimized + * query. + * Main steps to get the file list for query: + * 1、Load all files and partition values from the table path. + * 2、Do the partition prune by the partition filter condition. + * + * Note: + * Only when the URL_ENCODE_PARTITIONING_OPT_KEY is enable, we can store the partition columns + * to the hoodie.properties in HoodieSqlWriter when write table. So that the query can benefit + * from the partition prune. + */ Review comment: > I still don't quite understand why we can't support partition pruning by default. As far as storing the partition columns names in hoodie.properties is concerned, we can do that irrespective and does not have to be constrained by URL_ENCODE_PARTITIONING_OPT_KEY. As I understand, the problem occurs during the partition pruning where the values provided by spark in the predicates would not match the value passed by Hudi in cases such as where there is one partition column with value like 2020/10/10. Is this understanding correct ? Yes, it is my main concern for this. But you have noticed me that we can support partition prune by default and just skip the prune for the case that the partition column is not match with the partition value like `2020/10/10`. I wil have try for this. Thanks for your remind. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org
