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https://issues.apache.org/jira/browse/SPARK-24698?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-24698:
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Assignee: Apache Spark
> In Pyspark's ML, an Identifiable's UID has 20 random characters rather than
> the 12 mentioned in the documentation.
> ------------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-24698
> URL: https://issues.apache.org/jira/browse/SPARK-24698
> Project: Spark
> Issue Type: Bug
> Components: ML
> Affects Versions: 2.3.1
> Reporter: Thomas Dunne
> Assignee: Apache Spark
> Priority: Trivial
> Labels: easyfix
>
> Hi.
> In pyspark, an Identifiable object has a random ID assigned to help
> distinguish instances from each other. This ID is made by concatenating the
> name of the class with part of a Python's built-in UUID.
> The docstring of the method (__randomUID()_) that generates this ID says that
> 12 random characters are used from the Python UUID, but the code actually
> skips the first 12 characters. The hex representation of the UUID is 32
> characters, so the last 20 characters are used.
> Code can be found
> [here|https://github.com/apache/spark/blob/master/python/pyspark/ml/util.py#L66],
> and also copied here for your viewing pleasure:
> {code}
> @classmethod
> def _randomUID(cls):
> """
> Generate a unique unicode id for the object. The default implementation
> concatenates the class name, "_", and 12 random hex chars.
> """
> return unicode(cls.__name__ + "_" + uuid.uuid4().hex[12:])
> {code}
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