Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/17956#discussion_r116160371
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/json/JacksonParser.scala
---
@@ -126,16 +125,11 @@ class JacksonParser(
case VALUE_STRING =>
// Special case handling for NaN and Infinity.
- val value = parser.getText
- val lowerCaseValue = value.toLowerCase(Locale.ROOT)
- if (lowerCaseValue.equals("nan") ||
- lowerCaseValue.equals("infinity") ||
- lowerCaseValue.equals("-infinity") ||
- lowerCaseValue.equals("inf") ||
- lowerCaseValue.equals("-inf")) {
- value.toFloat
--- End diff --
Is JSON format itself related with CSV and Pandas? Please see the
discussion in https://github.com/apache/spark/pull/9759#r63321521.
Also, this does not change the existing behaviour.
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