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Posted to reviews@spark.apache.org by "LuciferYang (via GitHub)" <gi...@apache.org> on 2024/02/04 06:15:56 UTC
Re: [PR] [SPARK-46654][SQL] Make to_csv can correctly display complex types data [spark]
LuciferYang commented on PR #44665:
URL: https://github.com/apache/spark/pull/44665#issuecomment-1925595731
I think the current issue is that the original PySpark can display complex struct types,
```
bin/pyspark
Python 3.11.1 (v3.11.1:a7a450f84a, Dec 6 2022, 15:24:06) [Clang 13.0.0 (clang-1300.0.29.30)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
24/02/04 14:14:41 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
24/02/04 14:14:41 WARN Utils: Service 'SparkUI' could not bind on port 4040. Attempting port 4041.
Welcome to
____ __
/ __/__ ___ _____/ /__
_\ \/ _ \/ _ `/ __/ '_/
/__ / .__/\_,_/_/ /_/\_\ version 4.0.0-SNAPSHOT
/_/
Using Python version 3.11.1 (v3.11.1:a7a450f84a, Dec 6 2022 15:24:06)
Spark context Web UI available at http://localhost:4041
Spark context available as 'sc' (master = local[*], app id = local-1707027281550).
SparkSession available as 'spark'.
>>> from pyspark.sql import Row, functions as sf
>>> data = [(1, Row(age=2, name='Alice', scores=[100, 200, 300]))]
>>> df = spark.createDataFrame(data, ("key", "value"))
>>> df.select(sf.to_csv(df.value)).show(truncate=False)
+-----------------------+
|to_csv(value) |
+-----------------------+
|2,Alice,"[100,200,300]"|
+-----------------------+
```
but PyConnect and Scala code cannot. Ultimately, we should make them consistent. Should we consider removing the current capability of PySpark? However, this might be a breaking change.
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