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https://issues.apache.org/jira/browse/HIVE-24706?focusedWorklogId=846372&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-846372
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ASF GitHub Bot logged work on HIVE-24706:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 20/Feb/23 00:41
Start Date: 20/Feb/23 00:41
Worklog Time Spent: 10m
Work Description: alexdongli0829 commented on PR #4063:
URL: https://github.com/apache/hive/pull/4063#issuecomment-1436152068
Hey guys,
I am looking into the BUGs which caused the test failure:
1. Regarding the 2 Job not call close and 4 InterruptedException issue, I
think I know what the report is saying, but is it indeed necessary to fix the
bugs? Because most of the code is from the HiveHBaseTableInputFormat, why there
is no test failure on HiveHBaseTableInputFormat?
2. For the RecordReader, I need to return the RecordReader in this function,
how I can close this in the getRecordReader function?
Issue Time Tracking
-------------------
Worklog Id: (was: 846372)
Time Spent: 0.5h (was: 20m)
> Spark SQL access hive on HBase table access exception
> -----------------------------------------------------
>
> Key: HIVE-24706
> URL: https://issues.apache.org/jira/browse/HIVE-24706
> Project: Hive
> Issue Type: Bug
> Components: HBase Handler
> Reporter: zhangzhanchang
> Priority: Major
> Labels: pull-request-available
> Attachments: image-2021-01-30-15-51-58-665.png
>
> Time Spent: 0.5h
> Remaining Estimate: 0h
>
> Hivehbasetableinputformat relies on two versions of inputformat，one is
> org.apache.hadoop.mapred.InputFormat, the other is
> org.apache.hadoop.mapreduce.InputFormat,Causes
> spark 3.0(https://github.com/apache/spark/pull/31302) both conditions to be
> true:
> # classOf[oldInputClass[_, _]].isAssignableFrom(inputFormatClazz) is true
> # classOf[newInputClass[_, _]].isAssignableFrom(inputFormatClazz) is true
> !image-2021-01-30-15-51-58-665.png|width=430,height=137!
> Hivehbasetableinputformat relies on inputformat to be changed to
> org.apache.hadoop.mapreduce or org.apache.hadoop.mapred?
>
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