{"action":"created","comment":{"url":"https://api.github.com/repos/apache/spark/pulls/comments/197291190","pull_request_review_id":131009765,"id":197291190,"node_id":"MDI0OlB1bGxSZXF1ZXN0UmV2aWV3Q29tbWVudDE5NzI5MTE5MA==","diff_hunk":"@@ -42,15 +42,12 @@\n    *                    Usually Spark processes many RDD partitions at the same time,\n    *                    implementations should use the partition id to distinguish writers for\n    *                    different partitions.\n-   * @param attemptNumber Spark may launch multiple tasks with the same task id. For example, a task\n-   *                      failed, Spark launches a new task wth the same task id but different\n-   *                      attempt number. Or a task is too slow, Spark launches new tasks wth the\n-   *                      same task id but different attempt number, which means there are multiple\n-   *                      tasks with the same task id running at the same time. Implementations can\n-   *                      use this attempt number to distinguish writers of different task attempts.\n+   * @param taskId A unique identifier for a task that is performing the write of the partition\n+   *               data. Spark may run multiple tasks for the same partition (due to speculation\n+   *               or task failures, for example).\n    * @param epochId A monotonically increasing id for streaming queries that are split in to\n    *                discrete periods of execution. For non-streaming queries,\n    *                this ID will always be 0.\n    */\n-  DataWriter<T> createDataWriter(int partitionId, int attemptNumber, long epochId);\n+  DataWriter<T> createDataWriter(int partitionId, int taskId, long epochId);","path":"sql/core/src/main/java/org/apache/spark/sql/sources/v2/writer/DataWriterFactory.java","position":18,"original_position":18,"commit_id":"7233a5fd7b154e2a1400c5fac11d0356a22f5f98","original_commit_id":"7233a5fd7b154e2a1400c5fac11d0356a22f5f98","user":{"login":"vanzin","id":1694083,"node_id":"MDQ6VXNlcjE2OTQwODM=","avatar_url":"https://avatars0.githubusercontent.com/u/1694083?v=4","gravatar_id":"","url":"https://api.github.com/users/vanzin","html_url":"https://github.com/vanzin","followers_url":"https://api.github.com/users/vanzin/followers","following_url":"https://api.github.com/users/vanzin/following{/other_user}","gists_url":"https://api.github.com/users/vanzin/gists{/gist_id}","starred_url":"https://api.github.com/users/vanzin/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/vanzin/subscriptions","organizations_url":"https://api.github.com/users/vanzin/orgs","repos_url":"https://api.github.com/users/vanzin/repos","events_url":"https://api.github.com/users/vanzin/events{/privacy}","received_events_url":"https://api.github.com/users/vanzin/received_events","type":"User","site_admin":false},"body":"Just so I understand, what's the reason for not changing the parameter name and API docs? The name is not a public API in Java, so it doesn't break anything.\r\n\r\nAnd regardless of the parameter name, the API documentation is wrong (since it says you can have multiple tasks with the same ID, but different attempts, which does not happen).","created_at":"2018-06-21T22:03:11Z","updated_at":"2018-06-21T22:03:11Z","html_url":"https://github.com/apache/spark/pull/21606#discussion_r197291190","pull_request_url":"https://api.github.com/repos/apache/spark/pulls/21606","author_association":"CONTRIBUTOR","_links":{"self":{"href":"https://api.github.com/repos/apache/spark/pulls/comments/197291190"},"html":{"href":"https://github.com/apache/spark/pull/21606#discussion_r197291190"},"pull_request":{"href":"https://api.github.com/repos/apache/spark/pulls/21606"}},"in_reply_to_id":197288819},"pull_request":{"url":"https://api.github.com/repos/apache/spark/pulls/21606","id":196559640,"node_id":"MDExOlB1bGxSZXF1ZXN0MTk2NTU5NjQw","html_url":"https://github.com/apache/spark/pull/21606","diff_url":"https://github.com/apache/spark/pull/21606.diff","patch_url":"https://github.com/apache/spark/pull/21606.patch","issue_url":"https://api.github.com/repos/apache/spark/issues/21606","number":21606,"state":"open","locked":false,"title":"[SPARK-24552][core][SQL] Use task ID instead of attempt number for writes.","user":{"login":"vanzin","id":1694083,"node_id":"MDQ6VXNlcjE2OTQwODM=","avatar_url":"https://avatars0.githubusercontent.com/u/1694083?v=4","gravatar_id":"","url":"https://api.github.com/users/vanzin","html_url":"https://github.com/vanzin","followers_url":"https://api.github.com/users/vanzin/followers","following_url":"https://api.github.com/users/vanzin/following{/other_user}","gists_url":"https://api.github.com/users/vanzin/gists{/gist_id}","starred_url":"https://api.github.com/users/vanzin/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/vanzin/subscriptions","organizations_url":"https://api.github.com/users/vanzin/orgs","repos_url":"https://api.github.com/users/vanzin/repos","events_url":"https://api.github.com/users/vanzin/events{/privacy}","received_events_url":"https://api.github.com/users/vanzin/received_events","type":"User","site_admin":false},"body":"This passes the unique task attempt id instead of attempt number to v2 data sources because attempt number is reused when stages are retried. When attempt numbers are reused, sources that track data by partition id and attempt number may incorrectly clean up data because the same attempt number can be both committed and aborted.\r\n\r\nCloses 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