[
https://issues.apache.org/jira/browse/SPARK-25739?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Brian Jones updated SPARK-25739:
--------------------------------
Description:
Example code -
{code:java}
val df = List((1,""),(2,"hello"),(3,"hi"),(4,null)).toDF("key","value")
df
.repartition(1)
.write
.mode("overwrite")
.option("nullValue", null)
.option("emptyValue", null)
.option("delimiter",",")
.option("quoteMode", "NONE")
.option("escape","\\")
.format("csv")
.save("/tmp/nullcsv/")
var out = dbutils.fs.ls("/tmp/nullcsv/")
var file = out(out.size - 1)
val x = dbutils.fs.head("/tmp/nullcsv/" + file.name)
println(x)
{code}
Output -
{code:java}
1,""
3,hi
2,hello
4,
{code}
Expected output -
{code:java}
1,
3,hi
2,hello
4,
{code}
[https://github.com/apache/spark/commit/b7efca7ece484ee85091b1b50bbc84ad779f9bfe]
This commit is relevant to my issue.
"Since Spark 2.4, empty strings are saved as quoted empty strings `""`. In
version 2.3 and earlier, empty strings are equal to `null` values and do not
reflect to any characters in saved CSV files."
I am on Spark version 2.3.1, so empty strings should be coming as null. Even
then, I am passing the correct "emptyValue" option. However, my empty values
are stilling coming as `""` in the written file.
was:
Example code -
{code:java}
val df = List((1,""),(2,"hello"),(3,"hi"),(4,null)).toDF("key","value")
df
.repartition(1)
.write
.mode("overwrite")
.option("nullValue", null)
.option("emptyValue", null)
.option("delimiter",",")
.option("quoteMode", "NONE")
.option("escape","\\")
.format("csv")
.save("/tmp/nullcsv/")
var out = dbutils.fs.ls("/tmp/nullcsv/")
var file = out(out.size - 1)
val x = dbutils.fs.head("/tmp/nullcsv/" + file.name)
println(x)
{code}
Output -
{code:java}
1,""
3,hi
2,hello
4,
{code}
Expected output -
{code:java}
1,
3,hi
2,hello
4,
{code}
[https://github.com/apache/spark/commit/b7efca7ece484ee85091b1b50bbc84ad779f9bfe]
This commit is relevant to my issue.
"Since Spark 2.4, empty strings are saved as quoted empty strings `""`. In
version 2.3 and earlier, empty strings are equal to `null` values and do not
reflect to any characters in saved CSV files."
I am on Spark version 2.3.2, so empty strings should be coming as null. Even
then, I am passing the correct "emptyValue" option. However, my empty values
are stilling coming as `""` in the written file.
> Double quote coming in as empty value even when emptyValue set as null
> ----------------------------------------------------------------------
>
> Key: SPARK-25739
> URL: https://issues.apache.org/jira/browse/SPARK-25739
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 2.3.2
> Environment: Databricks - 4.2 (includes Apache Spark 2.3.1, Scala
> 2.11)
> Reporter: Brian Jones
> Priority: Major
>
> Example code -
> {code:java}
> val df = List((1,""),(2,"hello"),(3,"hi"),(4,null)).toDF("key","value")
> df
> .repartition(1)
> .write
> .mode("overwrite")
> .option("nullValue", null)
> .option("emptyValue", null)
> .option("delimiter",",")
> .option("quoteMode", "NONE")
> .option("escape","\\")
> .format("csv")
> .save("/tmp/nullcsv/")
> var out = dbutils.fs.ls("/tmp/nullcsv/")
> var file = out(out.size - 1)
> val x = dbutils.fs.head("/tmp/nullcsv/" + file.name)
> println(x)
> {code}
> Output -
> {code:java}
> 1,""
> 3,hi
> 2,hello
> 4,
> {code}
> Expected output -
> {code:java}
> 1,
> 3,hi
> 2,hello
> 4,
> {code}
>
> [https://github.com/apache/spark/commit/b7efca7ece484ee85091b1b50bbc84ad779f9bfe]
> This commit is relevant to my issue.
> "Since Spark 2.4, empty strings are saved as quoted empty strings `""`. In
> version 2.3 and earlier, empty strings are equal to `null` values and do not
> reflect to any characters in saved CSV files."
> I am on Spark version 2.3.1, so empty strings should be coming as null. Even
> then, I am passing the correct "emptyValue" option. However, my empty values
> are stilling coming as `""` in the written file.
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