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Posted to issues@spark.apache.org by "Louis Yang (Jira)" <ji...@apache.org> on 2019/08/20 18:28:00 UTC
[jira] [Created] (SPARK-28783) Support plus + operator as
concatenation for StringType columns in pyspark
Louis Yang created SPARK-28783:
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Summary: Support plus + operator as concatenation for StringType columns in pyspark
Key: SPARK-28783
URL: https://issues.apache.org/jira/browse/SPARK-28783
Project: Spark
Issue Type: Wish
Components: PySpark
Affects Versions: 2.4.3
Reporter: Louis Yang
Right now if one try to use plus operator for two columns in pyspark like `F.col('a') + F.col('b')`, pyspark always try to treat it as arithmetic addition like `2+3=5`. If the columns are `StringType`, pyspark try to convert them to number then do the addition. However, in python and pandas world, the plus operation for string type means concatenation not arithmetic addition. So it will be great that pyspark also support the same logic that `F.col('str1') + F.col('str2') + F.col('str3')` yields `F.concat(F.col('str1'), F.col('str2'), F.col('str3'))`.
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