[
https://issues.apache.org/jira/browse/SPARK-26846?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Arvind Krishnan Iyer updated SPARK-26846:
-----------------------------------------
Description:
{code:java}
import spark.implicits._
val sc = spark.sparkContext
val df = Seq((8,"100","sfd"),(0,"","sfd"),(8, null,
"asfasd")).toDF("num","str_num","word").toDF().coalesce(1)
df.write.mode(SaveMode.Overwrite).csv("/Users/arvind.iyer/abcd.csv")
{code}
We are writing the contents of this CSV into a DB, and the contents of that
column are going in as "".
+Output+
8,100,sfd
0,"",sfd
8,"",asfasd
was:
{code:java}
import spark.implicits._
val sc = spark.sparkContext
val df = Seq((8,"100","sfd"),(0,"","sfd"),(8, null,
"asfasd")).toDF("num","str_num","word").toDF().coalesce(1)
df.write.mode(SaveMode.Overwrite).csv("/Users/arvind.iyer/abcd.csv")
{code}
+Output+
8,100,sfd
0,"",sfd
8,"",asfasd
> Empty Strings in dataframe are written as "" in CSV
> ---------------------------------------------------
>
> Key: SPARK-26846
> URL: https://issues.apache.org/jira/browse/SPARK-26846
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.4.0
> Reporter: Arvind Krishnan Iyer
> Priority: Major
>
>
> {code:java}
> import spark.implicits._
> val sc = spark.sparkContext
> val df = Seq((8,"100","sfd"),(0,"","sfd"),(8, null,
> "asfasd")).toDF("num","str_num","word").toDF().coalesce(1)
> df.write.mode(SaveMode.Overwrite).csv("/Users/arvind.iyer/abcd.csv")
> {code}
> We are writing the contents of this CSV into a DB, and the contents of that
> column are going in as "".
> +Output+
> 8,100,sfd
> 0,"",sfd
> 8,"",asfasd
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
