You are viewing a plain text version of this content. The canonical link for it is here.
Posted to reviews@spark.apache.org by rdblue <gi...@git.apache.org> on 2018/08/15 19:33:13 UTC

[GitHub] spark pull request #21308: SPARK-24253: Add DeleteSupport mix-in for DataSou...

Github user rdblue commented on a diff in the pull request:

    https://github.com/apache/spark/pull/21308#discussion_r210382412
  
    --- Diff: sql/core/src/main/java/org/apache/spark/sql/sources/v2/DeleteSupport.java ---
    @@ -0,0 +1,51 @@
    +/*
    + * 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.sources.v2;
    +
    +import org.apache.spark.sql.catalyst.expressions.Expression;
    +
    +/**
    + * A mix-in interface for {@link DataSourceV2} delete support. Data sources can implement this
    + * interface to provide the ability to delete data from tables that matches filter expressions.
    + * <p>
    + * Data sources must implement this interface to support logical operations that combine writing
    + * data with deleting data, like overwriting partitions.
    + */
    +public interface DeleteSupport extends DataSourceV2 {
    +  /**
    +   * Delete data from a data source table that matches filter expressions.
    +   * <p>
    +   * Rows are deleted from the data source iff all of the filter expressions match. That is, the
    +   * expressions must be interpreted as a set of filters that are ANDed together.
    +   * <p>
    +   * Implementations may reject a delete operation if the delete isn't possible without significant
    +   * effort. For example, partitioned data sources may reject deletes that do not filter by
    +   * partition columns because the filter may require rewriting files without deleted records.
    +   * To reject a delete implementations should throw {@link IllegalArgumentException} with a clear
    +   * error message that identifies which expression was rejected.
    +   * <p>
    +   * Implementations may throw {@link UnsupportedOperationException} if the delete operation is not
    --- End diff --
    
    After updating this to use Filter, the UnsupportedOperationException is no longer needed, so I removed it. That should also cut down on the confusion here.


---

---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscribe@spark.apache.org
For additional commands, e-mail: reviews-help@spark.apache.org