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https://issues.apache.org/jira/browse/SPARK-16846?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15403592#comment-15403592
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Yuming Wang commented on SPARK-16846:
-------------------------------------
You may need to be remove -schema-. The following code works:
{code:java}
val df = spark.read.options(Map("header" -> "true", "inferSchema" ->
"true")).csv(path)
{code}
> 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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