Github user tdas commented on a diff in the pull request:
https://github.com/apache/spark/pull/7279#discussion_r35393142
--- Diff:
core/src/main/scala/org/apache/spark/rdd/LocalRDDCheckpointData.scala ---
@@ -0,0 +1,83 @@
+/*
+ * 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.rdd
+
+import scala.reflect.ClassTag
+
+import org.apache.spark.{Logging, SparkEnv, SparkException, TaskContext}
+import org.apache.spark.storage.{RDDBlockId, StorageLevel}
+
+/**
+ * An implementation of checkpointing implemented on top of Spark's
caching layer.
+ *
+ * Local checkpointing trades off fault tolerance for performance by
skipping the expensive
+ * step of replicating the checkpointed data in a reliable storage.
Instead, checkpoint data
--- End diff --
nit: ... saving the RDD data to a reliable/fault-tolerant storage.
The term "checkpoint data" is confusing. The way I reason it in my head is
1. "RDD data" is saved to perform checkpointing
2. Once the data is saved or checkpointed, it becomes "checkpointed data".
But this is really potayto / potawto.
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