Github user dongjoon-hyun commented on the pull request:
https://github.com/apache/spark/pull/11868#issuecomment-212020852
Hi, @JoshRosen .
Could you take a look at this PR about Row(Double.NaN) == Row(Float.NaN)
for a second when you have some time today? I'm going to close this PR and JIRA
(as WontFix) since it's stale and Spark works fine without this. However,
before closing this, I really appreciate if you give some opinion about what
the original intention was.
According to the initial commit in `RowSuite.scala`, `Row` class is
designed(tested) to return true for 'NaN' equality test since 'NaN' is defined
a normal value. So, I thought Double.NaN also needs to be equal to Float.NaN
and made this PR. It's not interesting feature, just an attempt to complete
`Row`-level NaN operations.
```
test("float NaN == NaN") {
val r1 = Row(Float.NaN)
val r2 = Row(Float.NaN)
assert(r1 === r2)
}
test("double NaN == NaN") {
val r1 = Row(Double.NaN)
val r2 = Row(Double.NaN)
assert(r1 === r2)
}
```
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