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<tinyint> 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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