Github user koeninger commented on a diff in the pull request:
https://github.com/apache/spark/pull/3798#discussion_r24019256
--- Diff:
external/kafka/src/main/scala/org/apache/spark/streaming/kafka/OffsetRange.scala
---
@@ -0,0 +1,69 @@
+/*
+ * 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.streaming.kafka
+
+import kafka.common.TopicAndPartition
+
+/** Something that has a collection of OffsetRanges */
+trait HasOffsetRanges {
+ def offsetRanges: Array[OffsetRange]
+}
+
+/** Represents a range of offsets from a single Kafka TopicAndPartition */
+final class OffsetRange private(
+ /** kafka topic name */
+ val topic: String,
+ /** kafka partition id */
+ val partition: Int,
+ /** inclusive starting offset */
+ val fromOffset: Long,
+ /** exclusive ending offset */
+ val untilOffset: Long) extends Serializable {
+ import OffsetRange.OffsetRangeTuple
+
+ /** this is to avoid ClassNotFoundException during checkpoint restore */
--- End diff --
There was discussion of this earlier that has since gotten buried. Here's
the gist:
https://gist.github.com/koeninger/561a61482cd1b5b3600c
The classloader being used for restoring the checkpoint doesn't have that
class, probably because it's in external (and thus included in the user
assembly), rather than one of the spark jars thats on the default classpath.
I went ahead and duplicated that comment.
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at [email protected] or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
