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Posted to issues@spark.apache.org by "Xiangrui Meng (JIRA)" <ji...@apache.org> on 2016/06/23 16:32:16 UTC
[jira] [Created] (SPARK-16171) Filter UDFs in StringIndexer
shouldn't throw exception
Xiangrui Meng created SPARK-16171:
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Summary: Filter UDFs in StringIndexer shouldn't throw exception
Key: SPARK-16171
URL: https://issues.apache.org/jira/browse/SPARK-16171
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 2.0.0
Reporter: Xiangrui Meng
[~cmccubbin] reported a bug when he used StringIndexer in an ML pipeline with additional filters. It seems that during filter pushdown, we changed the ordering in the logical plan. I'm not sure whether we should treat this as a bug.
{code}
val df1 = (0 until 3).map(_.toString).toDF
val indexer = new StringIndexer()
.setInputCol("value")
.setOutputCol("idx")
.setHandleInvalid("skip")
.fit(df1)
val df2 = (0 until 5).map(_.toString).toDF
val predictions = indexer.transform(df2)
predictions.show() // this is okay
predictions.where('idx > 2).show() // this will throw an exception
{code}
Please see the notebook at https://databricks-prod-cloudfront.cloud.databricks.com/public/4027ec902e239c93eaaa8714f173bcfc/1233855/2159162931615821/588180/latest.html for error messages.
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