[jira] [Comment Edited] (SPARK-19950) nullable ignored when df.load() is executed for file-based data source

["Steven Bakhtiari (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-19950?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16630113#comment-16630113 ] 

Steven Bakhtiari edited comment on SPARK-19950 at 9/27/18 10:13 AM:
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Is there any movement on this issue (or rationale for making the schema nullable)?

I raised a duplicate issue with an example of loading a CSV file SPARK-25545


was (Author: stevebakh):
Is there any movement on this issue (or rationale for making the schema nullable)?

I raised a duplicate issue SPARK-25545

> nullable ignored when df.load() is executed for file-based data source
> ----------------------------------------------------------------------
>
>                 Key: SPARK-19950
>                 URL: https://issues.apache.org/jira/browse/SPARK-19950
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.2.0
>            Reporter: Kazuaki Ishizaki
>            Priority: Major
>
> This problem is reported in [Databricks forum|https://forums.databricks.com/questions/7123/nullable-seemingly-ignored-when-reading-parquet.html].
> When we execute the following code, a schema for "id" in {{dfRead}} has {{nullable = true}}. It should be {{nullable = false}}.
> {code:java}
> val field = "id"
> val df = spark.range(0, 5, 1, 1).toDF(field)
> val fmt = "parquet"
> val path = "/tmp/parquet"
> val schema = StructType(Seq(StructField(field, LongType, false)))
> df.write.format(fmt).mode("overwrite").save(path)
> val dfRead = spark.read.format(fmt).schema(schema).load(path)
> dfRead.printSchema
> {code}



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