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Date: Tue, 2 Jan 2018 05:00:00 +0000 (UTC)
From: "Ramakrishna S (JIRA)" <jira@apache.org>
To: issues@carbondata.apache.org
Message-ID: <JIRA.13119943.1511271942000.553993.1514869200790@Atlassian.JIRA>
In-Reply-To: <JIRA.13119943.1511271942000@Atlassian.JIRA>
References: <JIRA.13119943.1511271942000@Atlassian.JIRA> <JIRA.13119943.1511271942671@jira-lw-us.apache.org>
Subject: [jira] [Closed] (CARBONDATA-1790) (Carbon1.3.0 - Streaming) Data
 load in Stream Segment fails if batch load is performed in between the
 streaming
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archived-at: Tue, 02 Jan 2018 05:00:06 -0000


     [ https://issues.apache.org/jira/browse/CARBONDATA-1790?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Ramakrishna S closed CARBONDATA-1790.
-------------------------------------
    Resolution: Fixed

This is is resolved in the B007 release.

> (Carbon1.3.0 - Streaming) Data load in Stream Segment fails if batch load is performed in between the streaming
> ---------------------------------------------------------------------------------------------------------------
>
>                 Key: CARBONDATA-1790
>                 URL: https://issues.apache.org/jira/browse/CARBONDATA-1790
>             Project: CarbonData
>          Issue Type: Bug
>          Components: data-query
>    Affects Versions: 1.3.0
>         Environment: 3 node ant cluster
>            Reporter: Ramakrishna S
>            Assignee: Bhavya Aggarwal
>              Labels: DFX
>
> Steps :
> 1. Create a streaming table and do a batch load
> 2. Set up the Streaming , so that it does streaming in chunk of 1000 records 20 times
> 3. Do another batch load on the table
> 4. Do one more time streaming
> +-------------+------------+--------------------------+--------------------------+--------------+------------+--+
> | Segment Id  |   Status   |     Load Start Time      |      Load End Time       | File Format  | Merged To  |
> +-------------+------------+--------------------------+--------------------------+--------------+------------+--+
> | 2           | Success    | 2017-11-21 21:42:36.77   | 2017-11-21 21:42:40.396  | COLUMNAR_V3  | NA         |
> | 1           | Streaming  | 2017-11-21 21:40:46.2    | NULL                     | ROW_V1       | NA         |
> | 0           | Success    | 2017-11-21 21:40:39.782  | 2017-11-21 21:40:43.168  | COLUMNAR_V3  | NA         |
> +-------------+------------+--------------------------+--------------------------+--------------+------------+--+
> *+Expected:+* Data should be loaded
> *+Actual+* : Data load fiails
> 1. One addition offset file is created(marked in bold)
> -rw-r--r--   2 root users         62 2017-11-21 21:40 /user/hive/warehouse/Ram/default/stream_table5/.streaming/checkpoint/offsets/0
> -rw-r--r--   2 root users         63 2017-11-21 21:40 /user/hive/warehouse/Ram/default/stream_table5/.streaming/checkpoint/offsets/1
> -rw-r--r--   2 root users         63 2017-11-21 21:42 /user/hive/warehouse/Ram/default/stream_table5/.streaming/checkpoint/offsets/10
> -rw-r--r--   2 root users         63 2017-11-21 21:40 /user/hive/warehouse/Ram/default/stream_table5/.streaming/checkpoint/offsets/2
> -rw-r--r--   2 root users         63 2017-11-21 21:41 /user/hive/warehouse/Ram/default/stream_table5/.streaming/checkpoint/offsets/3
> -rw-r--r--   2 root users         64 2017-11-21 21:41 /user/hive/warehouse/Ram/default/stream_table5/.streaming/checkpoint/offsets/4
> -rw-r--r--   2 root users         64 2017-11-21 21:41 /user/hive/warehouse/Ram/default/stream_table5/.streaming/checkpoint/offsets/5
> -rw-r--r--   2 root users         64 2017-11-21 21:41 /user/hive/warehouse/Ram/default/stream_table5/.streaming/checkpoint/offsets/6
> -rw-r--r--   2 root users         64 2017-11-21 21:41 /user/hive/warehouse/Ram/default/stream_table5/.streaming/checkpoint/offsets/7
> -rw-r--r--   2 root users         64 2017-11-21 21:41 /user/hive/warehouse/Ram/default/stream_table5/.streaming/checkpoint/offsets/8
> *-rw-r--r--   2 root users         63 2017-11-21 21:42 /user/hive/warehouse/Ram/default/stream_table5/.streaming/checkpoint/offsets/9*
> 2. Following error thrown:
> === Streaming Query ===
> Identifier: [id = 3a5334bc-d471-4676-b6ce-f21105d491d1, runId = b2be9f97-8141-46be-89db-9a0f98d13369]
> Current Offsets: {org.apache.spark.sql.execution.streaming.TextSocketSource@14c45193: 1000}
> Current State: ACTIVE
> Thread State: RUNNABLE
> Logical Plan:
> org.apache.spark.sql.execution.streaming.TextSocketSource@14c45193
>         at org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runBatches(StreamExecution.scala:284)
>         at org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:177)
> Caused by: java.lang.RuntimeException: Offsets committed out of order: 20019 followed by 1000
>         at scala.sys.package$.error(package.scala:27)
>         at org.apache.spark.sql.execution.streaming.TextSocketSource.commit(socket.scala:151)
>         at org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$org$apache$spark$sql$execution$streaming$StreamExecution$$constructNextBatch$2$$anonfun$apply$mcV$sp$4.apply(StreamExecution.scala:421)
>         at org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$org$apache$spark$sql$execution$streaming$StreamExecution$$constructNextBatch$2$$anonfun$apply$mcV$sp$4.apply(StreamExecution.scala:420)
>         at scala.collection.Iterator$class.foreach(Iterator.scala:893)
>         at scala.collection.AbstractIterator.foreach(Iterator.scala:1336)
>         at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
>         at org.apache.spark.sql.execution.streaming.StreamProgress.foreach(StreamProgress.scala:25)
>         at org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$org$apache$spark$sql$execution$streaming$StreamExecution$$constructNextBatch$2.apply$mcV$sp(StreamExecution.scala:420)
>         at org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$org$apache$spark$sql$execution$streaming$StreamExecution$$constructNextBatch$2.apply(StreamExecution.scala:404)
>         at org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$org$apache$spark$sql$execution$streaming$StreamExecution$$constructNextBatch$2.apply(StreamExecution.scala:404)
>         at org.apache.spark.sql.execution.streaming.ProgressReporter$class.reportTimeTaken(ProgressReporter.scala:262)
>         at org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:46)
>         at org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$constructNextBatch(StreamExecution.scala:404)
>         at org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$org$apache$spark$sql$execution$streaming$StreamExecution$$runBatches$1$$anonfun$1.apply$mcV$sp(StreamExecution.scala:250)
>         at org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$org$apache$spark$sql$execution$streaming$StreamExecution$$runBatches$1$$anonfun$1.apply(StreamExecution.scala:244)
>         at org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$org$apache$spark$sql$execution$streaming$StreamExecution$$runBatches$1$$anonfun$1.apply(StreamExecution.scala:244)
>         at org.apache.spark.sql.execution.streaming.ProgressReporter$class.reportTimeTaken(ProgressReporter.scala:262)
>         at org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:46)
>         at org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$org$apache$spark$sql$execution$streaming$StreamExecution$$runBatches$1.apply$mcZ$sp(StreamExecution.scala:244)
>         at org.apache.spark.sql.execution.streaming.ProcessingTimeExecutor.execute(TriggerExecutor.scala:43)
>         at org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runBatches(StreamExecution.scala:239)
>         ... 1 more
> Done reading and writing streaming data
> Socket closed


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