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Posted to issues@spark.apache.org by "Hyukjin Kwon (Jira)" <ji...@apache.org> on 2019/10/30 00:48:00 UTC
[jira] [Resolved] (SPARK-29627) array_contains should allow column
instances in PySpark
[ https://issues.apache.org/jira/browse/SPARK-29627?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon resolved SPARK-29627.
----------------------------------
Fix Version/s: 3.0.0
Resolution: Fixed
Issue resolved by pull request 26288
[https://github.com/apache/spark/pull/26288]
> array_contains should allow column instances in PySpark
> -------------------------------------------------------
>
> Key: SPARK-29627
> URL: https://issues.apache.org/jira/browse/SPARK-29627
> Project: Spark
> Issue Type: Bug
> Components: PySpark, SQL
> Affects Versions: 3.0.0
> Reporter: Hyukjin Kwon
> Priority: Minor
> Fix For: 3.0.0
>
>
> Scala API works well with column instances:
> {code}
> import org.apache.spark.sql.functions._
> val df = Seq(Array("a", "b", "c"), Array.empty[String]).toDF("data")
> df.select(array_contains($"data", lit("a"))).collect()
> {code}
> {code}
> Array[org.apache.spark.sql.Row] = Array([true], [false])
> {code}
> However, seems PySpark one doesn't:
> {code}
> from pyspark.sql.functions import array_contains, lit
> df = spark.createDataFrame([(["a", "b", "c"],), ([],)], ['data'])
> df.select(array_contains(df.data, lit("a"))).show()
> {code}
> {code}
> Traceback (most recent call last):
> File "<stdin>", line 1, in <module>
> File "/.../spark/python/pyspark/sql/functions.py", line 1950, in array_contains
> return Column(sc._jvm.functions.array_contains(_to_java_column(col), value))
> File "/.../spark/python/lib/py4j-0.10.8.1-src.zip/py4j/java_gateway.py", line 1277, in __call__
> File "/.../spark/python/lib/py4j-0.10.8.1-src.zip/py4j/java_gateway.py", line 1241, in _build_args
> File "/.../spark/python/lib/py4j-0.10.8.1-src.zip/py4j/java_gateway.py", line 1228, in _get_args
> File "/.../spark/python/lib/py4j-0.10.8.1-src.zip/py4j/java_collections.py", line 500, in convert
> File "/.../spark/python/pyspark/sql/column.py", line 344, in __iter__
> raise TypeError("Column is not iterable")
> TypeError: Column is not iterable
> {code}
> We should let it allow
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