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|
+---+
Attachments
Issue Links
- blocks
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SPARK-12420 Have a built-in CSV data source implementation
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- Resolved
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- links to
