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Posted to issues@spark.apache.org by "hejie (JIRA)" <ji...@apache.org> on 2016/08/02 02:53:20 UTC

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

hejie created SPARK-16846:
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             Summary: 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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