Hossein Falaki created SPARK-17878:
--------------------------------------
Summary: Support for multiple null values when reading CSV data
Key: SPARK-17878
URL: https://issues.apache.org/jira/browse/SPARK-17878
Project: Spark
Issue Type: Story
Components: SQL
Affects Versions: 2.0.1
Reporter: Hossein Falaki
There are CSV files out there with multiple values that are supposed to be
interpreted as null. As a result, multiple spark users have asked for this
feature built into the CSV data source. It can be easily implemented in a
backwards compatible way:
- Currently CSV data source supports an option named {{nullValue}}.
- We can add logic in {{CSVOptions}} to understands option names that match
{{nullValue[\d]}}. This way user can specify a query with multiple or one null
value.
{code}
val df = spark.read.format("CSV").option("nullValue1",
"-").option("nullValue2", "*")....
{code}
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
