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

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

Ernst Sjöstrand created SPARK-15840:
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             Summary: 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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