Describe the bug
It looks from_unixtime supports only -8334601211038 <= sec <= 8210266876799
To Reproduce
$datafusion-cli
DataFusion CLI v48.0.0
> select from_unixtime(8210266876799, 'America/New_York');
+--------------------------------------------------------------+
| from_unixtime(Int64(8210266876799),Utf8("America/New_York")) |
+--------------------------------------------------------------+
| +262142-12-31T18:59:59-05:00 |
+--------------------------------------------------------------+
1 row(s) fetched.
Elapsed 0.039 seconds.
> select from_unixtime(8210266876799 + 1, 'America/New_York');
+----------------------------------------------------------------------------------------------------------------+
| from_unixtime(Int64(8210266876799) + Int64(1),Utf8("America/New_York")) |
+----------------------------------------------------------------------------------------------------------------+
| ERROR: Cast error: Failed to convert 8210266876800 to datetime for Timestamp(Second, Some("America/New_York")) |
+----------------------------------------------------------------------------------------------------------------+
1 row(s) fetched.
Elapsed 0.006 seconds.
> select from_unixtime(-8334601211038, 'America/New_York');
+---------------------------------------------------------------+
| from_unixtime(Int64(-8334601211038),Utf8("America/New_York")) |
+---------------------------------------------------------------+
| -262143-01-01T00:00:00-04:56 |
+---------------------------------------------------------------+
1 row(s) fetched.
Elapsed 0.001 seconds.
> select from_unixtime(-8334601211038 -1, 'America/New_York');
thread 'main' panicked at ...
Local time out of range for `NaiveDateTime`
Expected behavior
We should be able to convert all Int64 values
Additional context
Spark can convert those large numbers
Describe the bug
It looks
from_unixtimesupports only -8334601211038 <= sec <= 8210266876799To Reproduce
Expected behavior
We should be able to convert all
Int64valuesAdditional context
Spark can convert those large numbers