Is there any way to show nice exceptions in jupyter that are thrown by phhive.
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Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 25/100
Research direction
Reproduce the shown PyHive HiveServer2 exception in a Jupyter session and inspect how the response is surfaced to the user. Clarify the desired readable format and define done as presenting the SQL error without requiring users to parse the nested Hive and Spark exception text.
Written by the indexing model from the issue text.
Description
TExecuteStatementResp(status=TStatus(statusCode=3, infoMessages=["*org.apache.hive.service.cli.HiveSQLException:Error running query: org.apache.spark.sql.AnalysisException: cannot resolve '`AB`' given input columns: [spark_catalog.default.************************************
the above exception is so decrypt. the above exception is correctly thrown, because the sql error is wrong, but to parse the above, the user needs to think a lot.
- Dominant language
- Python
- Stars
- 1.7k
- Forks
- 545
- PR merge metrics
- No merged PRs in 30d
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