Github user tdas commented on a diff in the pull request:
https://github.com/apache/spark/pull/3798#discussion_r23747942
--- Diff:
external/kafka/src/main/scala/org/apache/spark/rdd/kafka/OffsetRange.scala ---
@@ -0,0 +1,70 @@
+/*
+ * 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
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+ * See the License for the specific language governing permissions and
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+ */
+
+package org.apache.spark.rdd.kafka
+
+/** Represents a range of offsets from a single Kafka TopicAndPartition */
+trait OffsetRange {
--- End diff --
Right, I get your point. Though I thought about the usage based on the
example, and I think we need to think this a little bit more. From what I
understood, you are attaching the offset in every records, and shuffling
everything with that offset attached. That is quite a loss of efficiency. Also,
accessing the RDD and its partition object from within the mapPartition
function is very confusing, and ... does it actually work???? If at all this
works, thats not even the recommended RDD operation!
We really need to come up with a better way to expose offsets.
Brainstorming a little more on this.
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