{"action":"created","comment":{"url":"https://api.github.com/repos/apache/spark/pulls/comments/29120494","id":29120494,"diff_hunk":"@@ -0,0 +1,59 @@\n+/*\n+ * Licensed to the Apache Software Foundation (ASF) under one or more\n+ * contributor license agreements.  See the NOTICE file distributed with\n+ * this work for additional information regarding copyright ownership.\n+ * The ASF licenses this file to You under the Apache License, Version 2.0\n+ * (the \"License\"); you may not use this file except in compliance with\n+ * the License.  You may obtain a copy of the License at\n+ *\n+ *    http://www.apache.org/licenses/LICENSE-2.0\n+ *\n+ * Unless required by applicable law or agreed to in writing, software\n+ * distributed under the License is distributed on an \"AS IS\" BASIS,\n+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n+ * See the License for the specific language governing permissions and\n+ * limitations under the License.\n+ */\n+\n+package org.apache.spark.streaming.util;\n+\n+import java.nio.ByteBuffer;\n+import java.util.Iterator;\n+\n+/**\n+ * Interface representing a write ahead log (aka journal) that is used by Spark Streaming to\n+ * save the received data (by receivers) and associated metadata to a reliable storage, so that\n+ * they can be recovered after driver failures. See the Spark docs for more information on how\n+ * to plug in your own custom implementation of a write ahead log.\n+ */\n+@org.apache.spark.annotation.DeveloperApi\n+public interface WriteAheadLog {","path":"streaming/src/main/java/org/apache/spark/streaming/util/WriteAheadLog.java","position":30,"original_position":30,"commit_id":"d7cd15b5cef64766a432918e54cca4750d13745b","original_commit_id":"d7cd15b5cef64766a432918e54cca4750d13745b","user":{"login":"harishreedharan","id":1481194,"avatar_url":"https://avatars.githubusercontent.com/u/1481194?v=3","gravatar_id":"","url":"https://api.github.com/users/harishreedharan","html_url":"https://github.com/harishreedharan","followers_url":"https://api.github.com/users/harishreedharan/followers","following_url":"https://api.github.com/users/harishreedharan/following{/other_user}","gists_url":"https://api.github.com/users/harishreedharan/gists{/gist_id}","starred_url":"https://api.github.com/users/harishreedharan/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/harishreedharan/subscriptions","organizations_url":"https://api.github.com/users/harishreedharan/orgs","repos_url":"https://api.github.com/users/harishreedharan/repos","events_url":"https://api.github.com/users/harishreedharan/events{/privacy}","received_events_url":"https://api.github.com/users/harishreedharan/received_events","type":"User","site_admin":false},"body":"Is the idea that this would be useful for Java implementations to keep this a Java interface?","created_at":"2015-04-27T04:48:06Z","updated_at":"2015-04-27T04:48:06Z","html_url":"https://github.com/apache/spark/pull/5645#discussion_r29120494","pull_request_url":"https://api.github.com/repos/apache/spark/pulls/5645","_links":{"self":{"href":"https://api.github.com/repos/apache/spark/pulls/comments/29120494"},"html":{"href":"https://github.com/apache/spark/pull/5645#discussion_r29120494"},"pull_request":{"href":"https://api.github.com/repos/apache/spark/pulls/5645"}}},"pull_request":{"url":"https://api.github.com/repos/apache/spark/pulls/5645","id":33920830,"html_url":"https://github.com/apache/spark/pull/5645","diff_url":"https://github.com/apache/spark/pull/5645.diff","patch_url":"https://github.com/apache/spark/pull/5645.patch","issue_url":"https://api.github.com/repos/apache/spark/issues/5645","number":5645,"state":"open","locked":false,"title":"[SPARK-7056][Streaming] Make the Write Ahead Log pluggable","user":{"login":"tdas","id":663212,"avatar_url":"https://avatars.githubusercontent.com/u/663212?v=3","gravatar_id":"","url":"https://api.github.com/users/tdas","html_url":"https://github.com/tdas","followers_url":"https://api.github.com/users/tdas/followers","following_url":"https://api.github.com/users/tdas/following{/other_user}","gists_url":"https://api.github.com/users/tdas/gists{/gist_id}","starred_url":"https://api.github.com/users/tdas/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/tdas/subscriptions","organizations_url":"https://api.github.com/users/tdas/orgs","repos_url":"https://api.github.com/users/tdas/repos","events_url":"https://api.github.com/users/tdas/events{/privacy}","received_events_url":"https://api.github.com/users/tdas/received_events","type":"User","site_admin":false},"body":"Users may want the WAL data to be written to non-HDFS data storage systems. To allow that, we have to make the WAL pluggable. The following design doc outlines the plan. \r\n\r\nhttps://docs.google.com/a/databricks.com/document/d/1A2XaOLRFzvIZSi18i_luNw5Rmm9j2j4AigktXxIYxmY/edit?usp=sharing\r\n\r\nThings to add. \r\n* Unit tests for 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