[GitHub] spark issue #20235: [Spark-22887][ML][TESTS][WIP] ML test for StructuredStre...
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[GitHub] spark issue #20235: [Spark-22887][ML][TESTS][WIP] ML test for StructuredStre...
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[GitHub] spark issue #20235: [Spark-22887][ML][TESTS][WIP] ML test for StructuredStre...
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[GitHub] spark issue #20235: [Spark-22887][ML][TESTS][WIP] ML test for StructuredStre...
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[GitHub] spark issue #20235: [Spark-22887][ML][TESTS][WIP] ML test for StructuredStre...
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[GitHub] spark issue #20235: [Spark-22887][ML][TESTS][WIP] ML test for StructuredStre...
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[GitHub] spark issue #20235: [Spark-22887][ML][TESTS][WIP] ML test for StructuredStre...
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[GitHub] spark issue #20235: [Spark-22887][ML][TESTS][WIP] ML test for StructuredStre...
Github user smurakozi commented on the issue:
https://github.com/apache/spark/pull/20235
@WeichenXu123 Executing `test("FPGrowth fit and transform with different
data types")` with Byte data type produces an
`org.apache.spark.sql.AnalysisException: cannot resolve 'CAST(`items` AS
BINARY)' due to data type mismatch: cannot cast array to binary`
I don't remember all the details, but somewhere (catalyst?) the Array[Byte]
has special treatment as Binary. When `testTransformerOnStreamData` tries to
collect the data from the dataframe to test it as a stream this special casing
causes the above mentioned exception.
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[GitHub] spark issue #20235: [Spark-22887][ML][TESTS][WIP] ML test for StructuredStre...
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