[jira] [Created] (SPARK-17290) Spark CSVInferSchema does not always respect nullValue settings

["Teng Yutong (JIRA)" <ji...@apache.org>]

Teng Yutong created SPARK-17290:
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             Summary: Spark CSVInferSchema does not always respect nullValue settings
                 Key: SPARK-17290
                 URL: https://issues.apache.org/jira/browse/SPARK-17290
             Project: Spark
          Issue Type: Bug
          Components: SQL
    Affects Versions: 2.0.0
            Reporter: Teng Yutong


When loading a csv-formated data file into a table which has boolean type column, if the boolean value is not given and the nullValue has been set, CSVInferSchema will fail to parse the data.

e.g.: 

table schema:  create table test(id varchar(10),  flag boolean) USING com.databricks.spark.csv OPTIONS (path "test.csv", header "false", nullValue '') 

csv data example:
aa,
bb,true
cc,false


After some investigation, I found that CSVInferSchema will not check wether the current string match the nullValue or not if the target data type is Boolean、Timestamp、Date。

I am wondering that this logic is coded by purpose or not



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