Github user HyukjinKwon commented on the issue:
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Thank you everybody sincerely.
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Github user cloud-fan commented on the issue:
https://github.com/apache/spark/pull/17956
thanks, merging to master/2.2!
I think this change is pretty safe, we can discuss 2 things later:
1. if we want to support more special strings like `Inf`
2. if we want to make it c
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Github user HyukjinKwon commented on the issue:
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@gatorsmile, @cloud-fan and @viirya, could you take another look please? I
tried to get rid of all the behaviour changes existing in both previous PRs but
only leave the change to avoid the conv
Github user HyukjinKwon commented on the issue:
https://github.com/apache/spark/pull/17956
Unfortunately, we already support
```
"NaN"
"-Infinity"
"Infinity"
```
Now, this PR targets primarily to avoid unnecessary conversion try
primarily.
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Github user gatorsmile commented on the issue:
https://github.com/apache/spark/pull/17956
Note, we do not support the following cases
```
def floatRecords: Dataset[String] =
spark.createDataset(spark.sparkContext.parallelize(
"""{"f": "18.00"}""" ::
Github user gatorsmile commented on the issue:
https://github.com/apache/spark/pull/17956
We are handling the Json data sources here. Are the following inputs widely
used?
```
{"a": "+INF"}
{"a": "INF"}
{"a": "-INF"}
{"a": "NaN"}
{"a": "+NaN"}
{"a": "-NaN"}
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Github user HyukjinKwon commented on the issue:
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retest this please
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Github user gatorsmile commented on the issue:
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This PR description is misleading. This PR is actually a bug fix, I think
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Github user viirya commented on the issue:
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LGTM except for a minor comment.
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Github user cloud-fan commented on the issue:
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LGTM
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Github user HyukjinKwon commented on the issue:
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cc @NathanHowell, @cloud-fan and @viirya.
(I just want to note this will not change any input/output but just the
exception type and avoid additional conversion try.)
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