Teng Yutong created SPARK-17290:
-----------------------------------
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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