Github user sureshthalamati commented on the pull request:
https://github.com/apache/spark/pull/12904#issuecomment-217765505
I am not sure what was the history behind returning empty String for null
value. In my opinion it should be null be default. current behavior is also
inconsistent; for numerics it will return null and for strings it will return
empty string by default.
Example:
See the Year (int), and comment (String in the following data).
year,make,model,comment,price
2017,Tesla,Mode 3,looks nice.,35000.99
,Chevy,Bolt,,29000.00
2015,Porsche,"",,
scala> val df= sqlContext.read.format("csv").option("header",
"true").option("inferSchema", "true").load("/tmp/test1.csv")
df: org.apache.spark.sql.DataFrame = [year: int, make: string ... 3 more
fields]
scala> df.show
+----+-------+------+-----------+--------+
|year| make| model| comment| price|
+----+-------+------+-----------+--------+
|2017| Tesla|Mode 3|looks nice.|35000.99|
|null| Chevy| Bolt| | 29000.0|
|2015|Porsche| null| | null|
+----+-------+------+-----------+--------+
I can update this PR to change the nullValue default if needed,
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