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Posted to issues@spark.apache.org by "Takeshi Yamamuro (JIRA)" <ji...@apache.org> on 2018/01/12 07:59:02 UTC
[jira] [Created] (SPARK-23054) Incorrect results of casting
UserDefinedType to String
Takeshi Yamamuro created SPARK-23054:
----------------------------------------
Summary: Incorrect results of casting UserDefinedType to String
Key: SPARK-23054
URL: https://issues.apache.org/jira/browse/SPARK-23054
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 2.2.1
Reporter: Takeshi Yamamuro
{code}
>>> from pyspark.ml.classification import MultilayerPerceptronClassifier
>>> from pyspark.ml.linalg import Vectors
>>> df = spark.createDataFrame([(0.0, Vectors.dense([0.0, 0.0])), (1.0, Vectors.dense([0.0, 1.0]))], ["label", "features"])
>>> df.selectExpr("CAST(features AS STRING)").show(truncate = False)
+-------------------------------------------+
|features |
+-------------------------------------------+
|[6,1,0,0,2800000020,2,0,0,0] |
|[6,1,0,0,2800000020,2,0,0,3ff0000000000000]|
+-------------------------------------------+
{code}
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