[jira] [Created] (SPARK-25040) Empty string for double and float types should be nulls in JSON

["Hyukjin Kwon (JIRA)" <ji...@apache.org>]

Hyukjin Kwon created SPARK-25040:
------------------------------------

             Summary: Empty string for double and float types  should be nulls in JSON
                 Key: SPARK-25040
                 URL: https://issues.apache.org/jira/browse/SPARK-25040
             Project: Spark
          Issue Type: Bug
          Components: SQL
    Affects Versions: 2.2.0, 2.4.0
            Reporter: Hyukjin Kwon


The issue itself seems to be a behaviour change between 1.6 and 2.x for treating empty string as null or not in double and float.

{code}
{"a":"a1","int":1,"other":4.4}
{"a":"a2","int":"","other":""}
{code}

code ：

{code}
val config = new SparkConf().setMaster("local[5]").setAppName("test")
val sc = SparkContext.getOrCreate(config)
val sql = new SQLContext(sc)

val file_path = this.getClass.getClassLoader.getResource("Sanity4.json").getFile
val df = sql.read.schema(null).json(file_path)
df.show(30)
{code}

then in spark 1.6, result is
{code}
+---+----+-----+
| a| int|other|
+---+----+-----+
| a1| 1| 4.4|
| a2|null| null|
+---+----+-----+
{code}

{code}
root
|-- a: string (nullable = true)
|-- int: long (nullable = true)
|-- other: double (nullable = true)
{code}

but in spark 2.2, result is

{code}
+----+----+-----+
| a| int|other|
+----+----+-----+
| a1| 1| 4.4|
|null|null| null|
+----+----+-----+
{code}

{code}
root
|-- a: string (nullable = true)
|-- int: long (nullable = true)
|-- other: double (nullable = true)
{code}

Another easy reproducer:

{code}
spark.read.schema("a DOUBLE, b FLOAT")
      .option("mode", "FAILFAST").json(Seq("""{"a":"", "b": ""}""", """{"a": 1.1, "b": 1.1}""").toDS)
{code}



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