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https://issues.apache.org/jira/browse/SPARK-61226?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon updated SPARK-61226:
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Fix Version/s: connect-rust-4.3.0
> StructField.fromDDL returns a StructField and mis-parses names and DDL column
> options
> -------------------------------------------------------------------------------------
>
> Key: SPARK-61226
> URL: https://issues.apache.org/jira/browse/SPARK-61226
> Project: Spark
> Issue Type: Bug
> Components: Connect
> Affects Versions: connect-rust-4.3.0
> Reporter: Hyukjin Kwon
> Priority: Major
> Fix For: connect-rust-4.3.0
>
>
> The Python client overrode StructField.fromDDL to return a StructField by
> splitting the string at the first whitespace. StructField.fromDDL("`x y`
> int") gave the name "`x" with type struct<y`:int>, and StructField.fromDDL("a
> int not null") raised ValueError. The result could not be used as a schema:
> spark.createDataFrame([(1,)], StructField.fromDDL("a int")) raised
> NOT_EXPECTED_TYPE. In PySpark, StructField inherits DataType.fromDDL, which
> returns the parsed type (a StructType for "a int") and accepts the same DDL
> as DataType.fromDDL.
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