mapleFU commented on code in PR #92:
URL: https://github.com/apache/parquet-testing/pull/92#discussion_r2273369119
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variant/regen.py:
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@@ -75,12 +75,7 @@
INSERT INTO T VALUES ('primitive_binary', X'31337deadbeefcafe'::Variant);
INSERT INTO T VALUES ('primitive_string', 'This string is longer than 64 bytes
and therefore does not fit in a short_string and it also includes several non
ascii characters such as 🐢, 💖, ♥️, 🎣 and 🤦!!'::Variant);
--- https://github.com/apache/parquet-testing/issues/79
--- is not clear how to create the following types using Spark SQL
--- TODO TimeNTZ (Type ID 17)
--- TODO 'timestamp with timezone (NANOS)' (Type ID 18)
--- TODO 'timestamp with time zone (NANOS)' (Type ID 19)
--- TODO 'UUID' (Type ID 20)
+-- binary artifacts of 'TimeNTZ'/'timestamp with timezone (NANOS)'/'timestamp
with time zone (NANOS)'/'UUID' was generated by the iceberg test code, please
ref to https://github.com/apache/parquet-testing/pull/92 for more detail
Review Comment:
timestamp with timezone is duplicated?
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