Github user wangmiao1981 commented on the issue:
https://github.com/apache/spark/pull/18496
#14850 is the PR printing the full stack. We can improve it by print the
cause instead of print stack.
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Github user wangmiao1981 commented on the issue:
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I will review all classifiers to add the handleInvalid when necessary.
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Github user felixcheung commented on the issue:
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merged to master.
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Github user wangmiao1981 commented on the issue:
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Actually, the udf in transform() of StringIndexer.scala, will throw an
exception in action. But, it doesn't stop the execution of collect().
val indexer = udf { label: String =>
Github user wangmiao1981 commented on the issue:
https://github.com/apache/spark/pull/18496
I did a quick debug:
In DataSet.scala
def ofRows(sparkSession: SparkSession, logicalPlan: LogicalPlan): DataFrame
= {
val qe = sparkSession.sessionState.executePlan(logicalPlan)<
Github user wangmiao1981 commented on the issue:
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@felixcheung Yes. I think we can improve scala side. It only throws
exception when a `NULL` field is given. For unseen labels, as the example
above, it always fails at the same place `double` t
Github user felixcheung commented on the issue:
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Interesting.
That doesn't seem right to me. Perhaps something you could follow up, on
the scala side?
For now for this let's keep what you have then.
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I will fix it tonight. It is weird. In my local test, it passed. It seems
that my new change doesn't apply to the test. Anyway, I will fix the failure
first.
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