Wei Guo created SPARK-42237:
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Summary: change binary to unsupported dataType in csv format
Key: SPARK-42237
URL: https://issues.apache.org/jira/browse/SPARK-42237
Project: Spark
Issue Type: Improvement
Components: SQL
Affects Versions: 3.3.1, 2.4.8
Reporter: Wei Guo
Fix For: 3.4.0
When a binary colunm is written into csv files, actual content of this colunm
is {*}object.toString(){*}, which is meaningless.
{code:java}
val df =
Seq(Array[Byte](1,2)).toDFdf.write.csv("/Users/guowei19/Desktop/binary_csv")
{code}
The csv file's content is as follows:
!image-2023-01-30-17-18-16-372.png|width=104,height=21!
Meanwhile, if a binary colunm saved as table with csv fileformat, the table
can't be read back successfully.
{code:java}
val df = Seq((1,
Array[Byte](1,2))).toDFdf.write.format("csv").saveAsTable("binaryDataTable")spark.sql("select
* from binaryDataTable").show() {code}
!https://rte.weiyun.baidu.com/wiki/attach/image/api/imageDownloadAddress?attachId=82da0afc444c41bdaac34418a1c89963&docGuid=Eiscz4oMI45Sfp&sign=eyJhbGciOiJkaXIiLCJlbmMiOiJBMjU2R0NNIiwiYXBwSWQiOjEsInVpZCI6IjgtVWkzU0lMY2wiLCJkb2NJZCI6IkVpc2N6NG9NSTQ1U2ZwIn0..z1O-00hE1tTua9co.RmL0GxEQyNVQbIMYOvyAmQY18NMCxHdGdEPtulFiV3BuqsVlJODgA9-xFY9H9yer_Ckpbt4aG2ZrqgohIq43_ywzj-8u8SKKZnnzm7Dt-EhQBwrA7EhwUveE4-MRcAmsgqRKneN0gUJIu78ogR-M5-GAYqiyd-C-PH0LTaHDhNBWFBkF01kVOLJ18c2VTT6_lbc9j9Drmxj56ouymFgfhdUtpA.cTYqsEvvnKDcIPiah99f_A!
So I think it' better to change binary to unsupported dataType in csv format,
both for datasource v1(CSVFileFormat) and v2(CSVTable).
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