Github user gatorsmile commented on a diff in the pull request:
https://github.com/apache/spark/pull/19269#discussion_r145563004
--- Diff:
sql/core/src/main/java/org/apache/spark/sql/sources/v2/writer/DataWriter.java
---
@@ -0,0 +1,92 @@
+/*
+ * 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 org.apache.spark.annotation.InterfaceStability;
+
+/**
+ * A data writer returned by {@link DataWriterFactory#createWriter(int,
int, int)} and is
+ * responsible for writing data for an input RDD partition.
+ *
+ * One Spark task has one exclusive data writer, so there is no
thread-safe concern.
+ *
+ * {@link #write(Object)} is called for each record in the input RDD
partition. If one record fails
+ * the {@link #write(Object)}, {@link #abort()} is called afterwards and
the remaining records will
+ * not be processed. If all records are successfully written, {@link
#commit()} is called.
+ *
+ * If this data writer successes(all records are successfully written and
{@link #commit()}
--- End diff --
`successes ` -> `succeeds`
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