[WIP][SPARK-50298][CONNECT] Implement verifySchema parameter of createDataFrame in Spark Connect #48841
+26
−11
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
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.convertToArrowArraySafelynumpy ndarray input will be supported in a separate PR.
Why are the changes needed?
Parity with Spark Classic.
Does this PR introduce any user-facing change?
How was this patch tested?
Was this patch authored or co-authored using generative AI tooling?