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https://issues.apache.org/jira/browse/SPARK-23669?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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jin xing updated SPARK-23669:
-----------------------------
Description:
In our cluster, there are lots of UDF jars, some of them have the same filename
but different path, for example:
```
hdfs://A/B/udf.jar -> udfA
hdfs://C/D/udf.jar -> udfB
```
When user uses udfA and udfB in same sql, executor will fetch both
\{hdfs://A/B/udf.jar} and \{hdfs://C/D/udf.jar}. There will be a conflict for
the same name.
Can we config to fetch jars and save with a filename with MD5 prefix, so there
will be no conflict.
> Executors fetch jars and name the jars with md5 prefix
> ------------------------------------------------------
>
> Key: SPARK-23669
> URL: https://issues.apache.org/jira/browse/SPARK-23669
> Project: Spark
> Issue Type: New Feature
> Components: Spark Core
> Affects Versions: 2.3.0
> Environment: In our cluster, there are lots of UDF jars, some of them
> have the same filename but different path, for example:
> ```
> hdfs://A/B/udf.jar -> udfA
> hdfs://C/D/udf.jar -> udfB
> ```
> When user uses udfA and udfB in same sql, executor will fetch both
> \{hdfs://A/B/udf.jar} and \{hdfs://C/D/udf.jar}. There will be a conflict for
> the same name.
>
> Can we config to fetch jars and save with a filename with MD5 prefix, so
> there will be no conflict.
> Reporter: jin xing
> Priority: Minor
>
> In our cluster, there are lots of UDF jars, some of them have the same
> filename but different path, for example:
> ```
> hdfs://A/B/udf.jar -> udfA
> hdfs://C/D/udf.jar -> udfB
> ```
> When user uses udfA and udfB in same sql, executor will fetch both
> \{hdfs://A/B/udf.jar} and \{hdfs://C/D/udf.jar}. There will be a conflict for
> the same name.
>
> Can we config to fetch jars and save with a filename with MD5 prefix, so
> there will be no conflict.
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