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Posted to issues@spark.apache.org by "Ruifeng Zheng (Jira)" <ji...@apache.org> on 2023/01/12 15:02:00 UTC
[jira] [Updated] (SPARK-42032) Map data show in different order
[ https://issues.apache.org/jira/browse/SPARK-42032?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Ruifeng Zheng updated SPARK-42032:
----------------------------------
Summary: Map data show in different order (was: transform_key, transform_values doctest output have different order)
> Map data show in different order
> --------------------------------
>
> Key: SPARK-42032
> URL: https://issues.apache.org/jira/browse/SPARK-42032
> Project: Spark
> Issue Type: Sub-task
> Components: Connect, PySpark
> Affects Versions: 3.4.0
> Reporter: Ruifeng Zheng
> Priority: Major
>
> not sure whether this should be fixed:
> {code:java}
> **********************************************************************
> File "/Users/ruifeng.zheng/Dev/spark/python/pyspark/sql/connect/functions.py", line 1623, in pyspark.sql.connect.functions.transform_keys
> Failed example:
> df.select(transform_keys(
> "data", lambda k, _: upper(k)).alias("data_upper")
> ).show(truncate=False)
> Expected:
> +-------------------------+
> |data_upper |
> +-------------------------+
> |{BAR -> 2.0, FOO -> -2.0}|
> +-------------------------+
> Got:
> +-------------------------+
> |data_upper |
> +-------------------------+
> |{FOO -> -2.0, BAR -> 2.0}|
> +-------------------------+
> <BLANKLINE>
> **********************************************************************
> File "/Users/ruifeng.zheng/Dev/spark/python/pyspark/sql/connect/functions.py", line 1630, in pyspark.sql.connect.functions.transform_values
> Failed example:
> df.select(transform_values(
> "data", lambda k, v: when(k.isin("IT", "OPS"), v + 10.0).otherwise(v)
> ).alias("new_data")).show(truncate=False)
> Expected:
> +---------------------------------------+
> |new_data |
> +---------------------------------------+
> |{OPS -> 34.0, IT -> 20.0, SALES -> 2.0}|
> +---------------------------------------+
> Got:
> +---------------------------------------+
> |new_data |
> +---------------------------------------+
> |{IT -> 20.0, SALES -> 2.0, OPS -> 34.0}|
> +---------------------------------------+
> <BLANKLINE>
> **********************************************************************
> 1 of 2 in pyspark.sql.connect.functions.transform_keys
> 1 of 2 in pyspark.sql.connect.functions.transform_values
> {code}
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