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https://issues.apache.org/jira/browse/SPARK-33539?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Allison Wang updated SPARK-33539:
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Description:
In the SPIP: Standardize Exception Messages in Spark, we have proposed three
major tasks to standardize exception messages in Spark:
# Group error messages in dedicated files.
# Establish an error message guideline for developers.
# Improve error message quality.
The first step is to centralize error messages for each component into its own
dedicated file(s). This change can help with auditing error messages and
subsequent tasks to establish a guideline and improve message quality in the
future.
Here is an example RP to group all `AnalysisExcpetion` in Analyzer into
QueryCompilationErrors: [https://github.com/apache/spark/pull/29497]
Please see the SPIP:
[https://docs.google.com/document/d/1XGj1o3xAFh8BA7RCn3DtwIPC6--hIFOaNUNSlpaOIZs/edit?usp=sharing]
for more details.
was:
In the SPIP: Standardize Exception Messages in Spark, we have proposed three
major tasks to standardize exception messages in Spark:
# Group error messages in dedicated files.
# Establish an error message guideline for developers.
# Improve error message quality.
The first step is to centralize error messages for each component into its own
dedicated file(s). This change can help with auditing error messages and
subsequent tasks to establish a guideline and improve message quality in the
future.
Here is an example RP to group all `AnalysisExcpetion` in Analyzer into
QueryCompilationErrors: [https://github.com/apache/spark/pull/29497]
Please see the SPIP:
https://docs.google.com/document/d/1XGj1o3xAFh8BA7RCn3DtwIPC6–hIFOaNUNSlpaOIZs/edit?usp=sharing
for more details.
> Standardize exception messages in Spark
> ---------------------------------------
>
> Key: SPARK-33539
> URL: https://issues.apache.org/jira/browse/SPARK-33539
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core, SQL
> Affects Versions: 3.1.0
> Reporter: Allison Wang
> Priority: Major
>
> In the SPIP: Standardize Exception Messages in Spark, we have proposed three
> major tasks to standardize exception messages in Spark:
> # Group error messages in dedicated files.
> # Establish an error message guideline for developers.
> # Improve error message quality.
> The first step is to centralize error messages for each component into its
> own dedicated file(s). This change can help with auditing error messages and
> subsequent tasks to establish a guideline and improve message quality in the
> future.
> Here is an example RP to group all `AnalysisExcpetion` in Analyzer into
> QueryCompilationErrors: [https://github.com/apache/spark/pull/29497]
> Please see the SPIP:
> [https://docs.google.com/document/d/1XGj1o3xAFh8BA7RCn3DtwIPC6--hIFOaNUNSlpaOIZs/edit?usp=sharing]
> for more details.
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