[SPARK-50298][PYTHON][CONNECT] Implement verifySchema parameter of createDataFrame in Spark Connect #48841
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xinrong-meng
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xinrong-meng
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xinrong-meng
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HyukjinKwon
approved these changes
Nov 19, 2024
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Merged to master, thank you! |
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What changes were proposed in this pull request?
The PR targets at Spark Connect only. Spark Classic has been handled in #48677.
verifySchemaparameter of createDataFrame on Spark Classic decides whether to verify data types of every row against schema.Now it's not supported on Spark Connect.
The PR proposes to support
verifySchemaon Spark Connect.By default,
verifySchemaparameter ispyspark._NoValue, if not provided, createDataFrame withpyarrow.Table, verifySchema = Falsepandas.DataFramewith Arrow optimization, verifySchema = spark.sql.execution.pandas.convertToArrowArraySafelyThe schema enforcement of numpy ndarray input is unexpected and will be resolved as a follow-up, https://issues.apache.org/jira/browse/SPARK-50323.
Why are the changes needed?
Parity with Spark Classic.
Does this PR introduce any user-facing change?
Yes,
verifySchemaparameter of createDataFrame is supported in Spark Connect.How was this patch tested?
Unit tests.
Was this patch authored or co-authored using generative AI tooling?
No.