[jira] [Resolved] (SPARK-16846) read.csv() option: "inferSchema" don't work

["Hyukjin Kwon (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-16846?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-16846.
----------------------------------
    Resolution: Not A Problem

If the schema is given, it does not infer the schema.

> read.csv()  option:  "inferSchema" don't work
> ---------------------------------------------
>
>                 Key: SPARK-16846
>                 URL: https://issues.apache.org/jira/browse/SPARK-16846
>             Project: Spark
>          Issue Type: Bug
>            Reporter: hejie
>
> I use the code to read file and get a dataframe. When the colum number is olny 20, the inferSchema paragrama work well. But when the number is up to 400, it doesn't work, and I have to tell it the schema manually. the code is :
>  val df = spark.read.schema(schema).options(Map("header"->"true","quote"->",","inferSchema"->"true")).csv("/Users/ss/Documents/traindata/traindataAllNumber.csv")



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