[jira] [Updated] (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:all-tabpanel ]

Ernst Sjöstrand updated SPARK-15840:
------------------------------------
    Description: 
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|
 +---+

  was:
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|
+---+


> 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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