[jira] [Commented] (SPARK-15840) New csv reader does not "determine the input schema"

["Ernst Sjöstrand (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-15840?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15322127#comment-15322127 ] 

Ernst Sjöstrand commented on SPARK-15840:
-----------------------------------------

The old databricks csv had an option called inferSchema but that's gone now...

> New csv reader does not "determine the input schema"
> ----------------------------------------------------
>
>                 Key: SPARK-15840
>                 URL: https://issues.apache.org/jira/browse/SPARK-15840
>             Project: Spark
>          Issue Type: Bug
>          Components: PySpark, SQL
>    Affects Versions: 2.0.0
>            Reporter: Ernst Sjöstrand
>
> When testing the new csv reader I found that it would not determine the input schema as is stated in the documentation.
> (I used this documentation: https://people.apache.org/~pwendell/spark-nightly/spark-master-docs/latest/api/python/pyspark.sql.html#pyspark.sql.SQLContext )
> So either there is a bug in the implementation or in the documentation.
> This also means that things like dateFormat are ignore it seems like.
> Here's a quick test in pyspark (using Python3):
> a = spark.read.csv("/home/ernst/test.csv")
> a.printSchema()
> print(a.dtypes)
> a.show()
> root
>  |-- _c0: string (nullable = true)
> [('_c0', 'string')]
> +---+
> |_c0|
> +---+
> |  1|
> |  2|
> |  3|
> |  4|
> +---+



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