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

    https://github.com/apache/spark/pull/19269#discussion_r145579513
  
    --- Diff: 
sql/core/src/main/java/org/apache/spark/sql/sources/v2/writer/DataWriterFactory.java
 ---
    @@ -0,0 +1,44 @@
    +/*
    + * 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.writer;
    +
    +import java.io.Serializable;
    +
    +import org.apache.spark.annotation.InterfaceStability;
    +
    +/**
    + * A factory of {@link DataWriter} returned by {@link 
DataSourceV2Writer#createWriterFactory()},
    + * which is responsible for creating and initializing the actual data 
writer at executor side.
    + *
    + * Note that, the writer factory will be serialized and sent to executors, 
then the data writer
    + * will be created on executors and do the actual writing. So {@link 
DataWriterFactory} must be
    + * serializable and {@link DataWriter} doesn't need to be.
    + */
    +@InterfaceStability.Evolving
    +public interface DataWriterFactory<T> extends Serializable {
    +
    +  /**
    +   * Returns a data writer to do the actual writing work.
    +   *
    +   * @param stageId The id of the Spark stage that runs the returned 
writer.
    +   * @param partitionId The id of the RDD partition that the returned 
writer will process.
    +   * @param attemptNumber The attempt number of the Spark task that runs 
the returned writer, which
    +   *                      is usually 0 if the task is not a retried task 
or a speculative task.
    +   */
    +  DataWriter<T> createWriter(int stageId, int partitionId, int 
attemptNumber);
    --- End diff --
    
    not sure why we have stageId here. I'd make it more generic, e.g. a string 
for some job id, and then some numeric value (64 bit long) for epoch.


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