rdblue commented on code in PR #8067:
URL: https://github.com/apache/iceberg/pull/8067#discussion_r1282314020
##########
python/dev/provision.py:
##########
@@ -185,3 +185,47 @@
all_types_dataframe.writeTo("default.test_all_types").tableProperty("format-version",
"2").partitionedBy(
"intCol"
).createOrReplace()
+
+for table_name, partition in [
+ ("test_partitioned_by_identity", "ts"),
+ ("test_partitioned_by_years", "years(dt)"),
+ ("test_partitioned_by_months", "months(dt)"),
+ ("test_partitioned_by_days", "days(ts)"),
+ ("test_partitioned_by_hours", "hours(ts)"),
+ ("test_partitioned_by_truncate", "truncate(1, letter)"),
+ ("test_partitioned_by_bucket", "bucket(16, number)"),
+]:
+ spark.sql(
+ f"""
+ CREATE OR REPLACE TABLE default.{table_name} (
+ dt date,
+ ts timestamp,
+ number integer,
+ letter string
+ )
+ USING iceberg;
+ """
+ )
+
+ # Partitioning is not really needed, but there is a bug:
+ # https://github.com/apache/iceberg/pull/7685
+ spark.sql(f"ALTER TABLE default.{table_name} ADD PARTITION FIELD
{partition} AS dt_years")
Review Comment:
`dt_years`?
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