vanzin commented on a change in pull request #24970: [SPARK-23977][SQL] Support 
High Performance S3A committers
URL: https://github.com/apache/spark/pull/24970#discussion_r297881709
 
 

 ##########
 File path: 
hadoop-cloud/src/main/scala/org/apache/spark/internal/io/cloud/PathCommitterConstants.scala
 ##########
 @@ -0,0 +1,87 @@
+/*
+ * 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.internal.io.cloud
+
+/**
+ * Constants related to Hadoop committer setup and configuration.
+ * Most of these are scattered around the hadoop-mapreduce classes.
+ */
+object PathCommitterConstants {
+
+  /**
+   * Scheme prefix for per-filesystem scheme committers.
+   */
+  val OUTPUTCOMMITTER_FACTORY_SCHEME = 
"mapreduce.outputcommitter.factory.scheme"
+
+  /**
+   * String format pattern for per-filesystem scheme committers.
+   */
+  val OUTPUTCOMMITTER_FACTORY_SCHEME_PATTERN: String =
+    OUTPUTCOMMITTER_FACTORY_SCHEME + ".%s"
+
+  /**
+   * Name of the configuration option used to configure the
+   * output committer factory to use unless there is a specific
+   * one for a schema.
+   */
+  val OUTPUTCOMMITTER_FACTORY_CLASS = 
"mapreduce.pathoutputcommitter.factory.class"
+
+  /** Default committer factory. */
+  val DEFAULT_COMMITTER_FACTORY =
+    "org.apache.hadoop.mapreduce.lib.output.PathOutputCommitterFactory"
+
+  /**
+   * The committer which can be directly instantiated and which then delegates
+   * all operations to the factory-created committer it creates itself.
+   */
+  val BINDING_PATH_OUTPUT_COMMITTER_CLASS =
+    "org.apache.hadoop.mapreduce.lib.output.BindingPathOutputCommitter"
+
+  /**
+   * Classname of a parquet committer which just hands off to the
+   * `BindingPathOutputCommitter` in hadoop-mapreduce, which takes on the
+   * task of binding to the current factory.
+   */
+  val BINDING_PARQUET_OUTPUT_COMMITTER_CLASS =
+    "org.apache.spark.internal.io.cloud.BindingParquetOutputCommitter"
+
+  /** hadoop-mapreduce option to choose the algorithm. */
+  val FILEOUTPUTCOMMITTER_ALGORITHM_VERSION = 
"mapreduce.fileoutputcommitter.algorithm.version"
+
+  /** The default committer is not actually safe during task commit failures. 
*/
+  val FILEOUTPUTCOMMITTER_ALGORITHM_VERSION_DEFAULT = 2
+
+  /** Skip cleanup _temporary folders under job's output directory? */
+  val FILEOUTPUTCOMMITTER_CLEANUP_SKIPPED = 
"mapreduce.fileoutputcommitter.cleanup.skipped"
+
+  /**
+   * This is the "Pending" directory of the FileOutputCommitter;
+   * data written here is, in that algorithm, renamed into place.
+   */
+  val TEMP_DIR_NAME = "_temporary"
 
 Review comment:
   This one is used, but only in test code, so could be moved there instead.

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