[ 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") -- This message was sent by Atlassian JIRA (v6.3.15#6346) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org