kevinjqliu commented on code in PR #1632:
URL: https://github.com/apache/iceberg-python/pull/1632#discussion_r1999548823
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pyiceberg/transforms.py:
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Review Comment:
should we include ns support in pyiceberg_core transform as well?
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pyiceberg/types.py:
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@@ -703,6 +718,44 @@ class TimestamptzType(PrimitiveType):
root: Literal["timestamptz"] = Field(default="timestamptz")
+class TimestampNanoType(PrimitiveType):
+ """A TimestampNano data type in Iceberg can be represented using an
instance of this class.
+
+ TimestampNanos in Iceberg have nanosecond precision and include a date and
a time of day without a timezone.
+
+ Example:
+ >>> column_foo = TimestampNanoType()
+ >>> isinstance(column_foo, TimestampNanoType)
+ True
+ >>> column_foo
+ TimestampNanoType()
+ """
+
+ root: Literal["timestamp_ns"] = Field(default="timestamp_ns")
+
+ def minimum_format_version(self) -> TableVersion:
+ return TableVersion.THREE
Review Comment:
UnknownType was just added in #1681 lets make sure this is properly set
there too
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pyiceberg/types.py:
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Review Comment:
do we handle type promotion somewhere?
https://iceberg.apache.org/spec/#schema-evolution
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pyiceberg/types.py:
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@@ -62,6 +63,12 @@
FIXED_PARSER = ParseNumberFromBrackets(FIXED)
+class TableVersion(IntEnum):
+ ONE = 1
+ TWO = 2
+ THREE = 3
Review Comment:
interesting to see this, we were talking about something like this in #851
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