aokolnychyi commented on a change in pull request #32921: URL: https://github.com/apache/spark/pull/32921#discussion_r659061863
########## File path: sql/catalyst/src/main/java/org/apache/spark/sql/connector/read/SupportsDynamicFiltering.java ########## @@ -0,0 +1,55 @@ +/* + * 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.connector.read; + +import org.apache.spark.annotation.Experimental; +import org.apache.spark.sql.connector.expressions.NamedReference; +import org.apache.spark.sql.sources.Filter; + +/** + * A mix-in interface for {@link Scan}. Data sources can implement this interface if they can + * dynamically filter {@link InputPartition}s that were originally planned using predicates + * Spark infers by reusing parts of the query. + * + * @since 3.2.0 + */ +@Experimental +public interface SupportsDynamicFiltering extends Scan { + /** + * Returns attributes this scan can be dynamically filtered by. + * <p> + * Spark will call {@link #filter(Filter[])} if it can derive a dynamic + * predicate for any of the filter attributes. + */ + NamedReference[] filterAttributes(); + + /** + * Dynamically filters this scan. + * <p> + * The provided expressions must be interpreted as a set of filters that are ANDed together. + * Implementations may use the filters to prune originally planned {@link InputPartition}s. + * <p> + * Spark will call {@link Scan#toBatch()}, {@link Scan#toMicroBatchStream(String)} or + * {@link Scan#toContinuousStream(String)} again after filtering the scan dynamically. + * The newly produced {@link Batch} or its streaming alternative may report a subset of + * originally planned {@link InputPartition}s. + * + * @param filters dynamic filters + */ + void filter(Filter[] filters); Review comment: Since dynamic filtering can provide substantial performance improvements for v2 tables, I'd love to get this feature into 3.2. As we already use v1 filters in other Data Source V2 interfaces, I feel it should be alright to use them here too. As I noted above, we don't really have to break this API once we have v2 filters. We can follow whatever we decide to do with `SupportsPushDownFilters`: introduce a separate interface or just add a method to the existing interface with a default implementation that would convert v2 filters into v1 filters. Does this seem reasonable, @cloud-fan? -- 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. To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
