aokolnychyi commented on a change in pull request #1852: URL: https://github.com/apache/iceberg/pull/1852#discussion_r534191748
########## File path: spark3-extensions/src/main/scala/org/apache/spark/sql/execution/datasources/v2/ExtendedBatchScanExec.scala ########## @@ -0,0 +1,58 @@ +/* + * 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.spark.sql.execution.datasources.v2 + +import org.apache.spark.rdd.RDD +import org.apache.spark.sql.catalyst.InternalRow +import org.apache.spark.sql.catalyst.expressions.AttributeReference +import org.apache.spark.sql.catalyst.plans.QueryPlan +import org.apache.spark.sql.connector.read.{InputPartition, PartitionReaderFactory, Scan} + +// The only reason we need this class and cannot reuse BatchScanExec is because +// BatchScanExec caches input partitions and we cannot apply file filtering before execution +// Spark calls supportsColumnar during physical planning which, in turn, triggers split planning +// We must ensure the result is not cached so that we can push down file filters later +// The only difference compared to BatchScanExec is that we are using def instead of lazy val for splits +case class ExtendedBatchScanExec( Review comment: I'd love too but we will have to justify it quite a bit. Do you think it is worth trying? ---------------------------------------------------------------- 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: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
