Github user viirya commented on a diff in the pull request:
https://github.com/apache/spark/pull/9759#discussion_r63705693
--- Diff:
sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/json/JsonParsingOptionsSuite.scala
---
@@ -93,23 +93,45 @@ class JsonParsingOptionsSuite extends QueryTest with
SharedSQLContext {
assert(df.first().getLong(0) == 18)
}
- // The following two tests are not really working - need to look into
Jackson's
- // JsonParser.Feature.ALLOW_NON_NUMERIC_NUMBERS.
- ignore("allowNonNumericNumbers off") {
- val str = """{"age": NaN}"""
- val rdd = spark.sparkContext.parallelize(Seq(str))
- val df = spark.read.json(rdd)
-
- assert(df.schema.head.name == "_corrupt_record")
+ test("allowNonNumericNumbers off") {
+ // non-quoted non-numeric numbers don't work if allowNonNumericNumbers
is off.
+ var testCases: Seq[String] = Seq("""{"age": NaN}""", """{"age":
Infinity}""",
+ """{"age": -Infinity}""", """{"age": +INF}""", """{"age": -INF}""")
+ testCases.foreach { str =>
+ val rdd = spark.sparkContext.parallelize(Seq(str))
+ val df = spark.read.option("allowNonNumericNumbers",
"false").json(rdd)
+
+ assert(df.schema.head.name == "_corrupt_record")
+ }
+
+ // quoted non-numeric numbers should still work even
allowNonNumericNumbers is off.
+ testCases = Seq("""{"age": "NaN"}""", """{"age": "Infinity"}""",
"""{"age": "-Infinity"}""")
+ val tests: Seq[Double => Boolean] = Seq(_.isNaN, _.isPosInfinity,
_.isNegInfinity)
+
+ testCases.zipWithIndex.foreach { case (str, idx) =>
+ val rdd = spark.sparkContext.parallelize(Seq(str))
+ val df = spark.read.option("allowNonNumericNumbers",
"false").json(rdd)
+
+ assert(df.schema.head.name == "age")
+ assert(tests(idx)(df.first().getDouble(0)))
--- End diff --
@cloud-fan I updated it.
Non-quoted non-numeric numbers are parsed as double when the corresponding
field is double/float type. This behavior is as same as before this patch.
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