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https://issues.apache.org/jira/browse/HIVE-18821?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Ranjan Choudhury updated HIVE-18821:
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Description:
Add jar in hive is not working when executed from beeline.
Steps to reproduce:
1. Run beeline
2. Connect to hive using command !connect jdbc:hive2://localhost:10000
3. Provide username/password
4. Execute: add jar <jarPathName>;
it throws exception "Error: Error while processing statement:
/home/ranjan/token-mask/bedrock-masking-UDF-5.0.0-FINAL.jar does not exist
(state=,code=1)" even though there are files in <jarPathName>. When i execute
the command hive CLI, it works successfully.
was:
The command dfs -ls is not producing any output when executed from beeline even
though there are files in hdfs.
Steps to reproduce:
1. Run beeline
2. Connect to hive using command !connect jdbc:hive2://localhost:10000
3. Provide username/password
4. Execute dfs -ls /user
There is not output of the command dfs -ls /user, even though there are files
in HDFS. When i execute the command hive CLI, it works.
Summary: Add jar in hive is not working when executed from beeline
(was: dfs -ls not working when executed from beeline)
> Add jar in hive is not working when executed from beeline
> ---------------------------------------------------------
>
> Key: HIVE-18821
> URL: https://issues.apache.org/jira/browse/HIVE-18821
> Project: Hive
> Issue Type: Bug
> Components: Beeline
> Affects Versions: 1.2.1
> Environment: Hive 1.2.1000.2.5.3.0-37
> Hadoop 2.7.3.2.5.3.0-37
> Reporter: Ranjan Choudhury
> Priority: Critical
>
> Add jar in hive is not working when executed from beeline.
> Steps to reproduce:
> 1. Run beeline
> 2. Connect to hive using command !connect jdbc:hive2://localhost:10000
> 3. Provide username/password
> 4. Execute: add jar <jarPathName>;
> it throws exception "Error: Error while processing statement:
> /home/ranjan/token-mask/bedrock-masking-UDF-5.0.0-FINAL.jar does not exist
> (state=,code=1)" even though there are files in <jarPathName>. When i execute
> the command hive CLI, it works successfully.
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