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https://issues.apache.org/jira/browse/SPARK-10588?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14744149#comment-14744149
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Reynold Xin commented on SPARK-10588:
-------------------------------------

I think a more proper fix is to write the schema out as a metadata file ...


> Saving a DataFrame containing only nulls to JSON doesn't work
> -------------------------------------------------------------
>
>                 Key: SPARK-10588
>                 URL: https://issues.apache.org/jira/browse/SPARK-10588
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 1.5.0
>            Reporter: Cheng Lian
>            Priority: Minor
>
> Snippets to reproduce this issue:
> {noformat}
> val path = "file:///tmp/spark/null"
> // A single row containing a single null double, saving to JSON, wrong
> sqlContext.
>   range(1).selectExpr("CAST(NULL AS DOUBLE) AS c0").
>   write.mode("overwrite").json(path)
> sqlContext.read.json(path).show()
> ++
> ||
> ++
> ||
> ++
> // Two rows each containing a single null double, saving to JSON, wrong
> sqlContext.
>   range(2).selectExpr("CAST(NULL AS DOUBLE) AS c0").
>   write.mode("overwrite").json(path)
> sqlContext.read.json(path).show()
> ++
> ||
> ++
> ||
> ||
> ++
> // A single row containing two null doubles, saving to JSON, wrong
> sqlContext.
>   range(1).selectExpr("CAST(NULL AS DOUBLE) AS c0", "CAST(NULL AS DOUBLE) AS 
> c1").
>   write.mode("overwrite").json(path)
> sqlContext.read.json(path).show()
> ++
> ||
> ++
> ||
> ++
> // A single row containing a single null double, saving to Parquet, OK
> sqlContext.
>   range(1).selectExpr("CAST(NULL AS DOUBLE) AS c0").
>   write.mode("overwrite").parquet(path)
> sqlContext.read.parquet(path).show()
> +----+
> |   d|
> +----+
> |null|
> +----+
> // Two rows, one containing a single null double, one containing non-null 
> double, saving to JSON, OK
> sqlContext.
>   range(2).selectExpr("IF(id % 2 = 0, CAST(NULL AS DOUBLE), id) AS c0").
>   write.mode("overwrite").json(path)
> sqlContext.read.json(path).show()
> +----+
> |   d|
> +----+
> |null|
> | 1.0|
> +----+
> {noformat}



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