[SPARK-41666][PYTHON] Support parameterized SQL by sql()#39183
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MaxGekk
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| "INVALID_SQL_ARG" : { | ||
| "message" : [ | ||
| "The argument <name> of `sql()` is invalid. Consider to replace it by a SQL literal statement." | ||
| "The argument <name> of `sql()` is invalid. Consider to replace it by a SQL literal." |
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I have changed this to address the review comment at #38864 (comment)
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sql()sql()
HyukjinKwon
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Dec 22, 2022
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Shall we add one line here https://github.com/apache/spark/blob/master/python/docs/source/migration_guide/pyspark_3.3_to_3.4.rst#upgrading-from-pyspark-33-to-34?
LGTM otherwise
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Merging to master. Thank you, @HyukjinKwon for review. |
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What changes were proposed in this pull request?
In the PR, I propose to extend the
sql()method in PySpark to support parameterized SQL queries, see #38864, and add new parameter -argsof the typeDict[str, str]. This parameter maps named parameters that can occur in the input SQL query to SQL literals like 1, INTERVAL '1-1' YEAR TO MONTH, DATE'2022-12-22' (see the doc of supported literals).For example:
Closes #39159
Why are the changes needed?
To achieve feature parity with Scala/Java API, and provide PySpark users the same feature.
Does this PR introduce any user-facing change?
No, it shouldn't.
How was this patch tested?
Checked the examples locally, and running the tests: