[SPARK-56256][PYTHON] Add emptyDataFrame API to SparkSession#55055
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zhengruifeng wants to merge 3 commits intoapache:masterfrom
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[SPARK-56256][PYTHON] Add emptyDataFrame API to SparkSession#55055zhengruifeng wants to merge 3 commits intoapache:masterfrom
zhengruifeng wants to merge 3 commits intoapache:masterfrom
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Co-authored-by: Isaac
Co-authored-by: Isaac
Co-authored-by: Isaac
dongjoon-hyun
approved these changes
Mar 27, 2026
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dongjoon-hyun
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+1, LGTM because this is a Python version of the following
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Could you follow the Apache Spark and ASF guideline, @zhengruifeng ? We need the
phrase: 'Generated-by: ' followed by the name of the tool and its version.
Apache Spark Guideline
spark/.github/PULL_REQUEST_TEMPLATE
Lines 55 to 56 in e0df769
ASF Guideline
HyukjinKwon
approved these changes
Mar 27, 2026
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What changes were proposed in this pull request?
Add a new
SparkSession.emptyDataFrame(schema)API that creates an empty DataFrame with the specified schema.Why are the changes needed?
Creating an empty DataFrame with a given schema is a common operation, but currently requires calling
spark.createDataFrame([], schema)which is not very intuitive. This new API provides a more readable and discoverable way to create empty DataFrames.Does this PR introduce any user-facing change?
Yes. Adds a new public API
SparkSession.emptyDataFrame(schema: Union[StructType, str]) -> DataFrame.How was this patch tested?
Added unit tests in
test_creation.pycovering bothStructTypeand DDL string schema inputs. Tests are shared via the mixin and run for both classic and Spark Connect.Was this patch authored or co-authored using generative AI tooling?
Yes.