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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2018/01/12 08:10:00 UTC
[jira] [Assigned] (SPARK-23054) Incorrect results of casting
UserDefinedType to String
[ https://issues.apache.org/jira/browse/SPARK-23054?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-23054:
------------------------------------
Assignee: (was: Apache Spark)
> 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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