pan3793 opened a new pull request, #55718:
URL: https://github.com/apache/spark/pull/55718
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### What changes were proposed in this pull request?
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In `ShowCreateTableExec`, transform `BucketTransform` to `CLUSTERED BY ...
[SORTED BY ...] INTO n BUCKETS` only for v1 tables. For v2 tables, treat
`BucketTransform` as a normal transform, preserved in `PARTITIONED BY ...`
clause.
### Why are the changes needed?
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`BucketTransform` is a specific case for v1 table, and it is restricted to
have no more than one bucket transform. While such restrictions do not apply to
v2 table, for example, `SHOW CREATE TABLE` output is incorrect and misleading
for an iceberg table that is partitioned by two bucket transforms.
```
spark-sql (default)> create table t1(id int, user_id int, item_id int, dt
string) using iceberg partitioned by (bucket(4, user_id), bucket(2, item_id),
dt);
Time taken: 1.397 seconds
spark-sql (default)> show create table t1;
CREATE TABLE spark_catalog.default.t1 (
id INT,
user_id INT,
item_id INT,
dt STRING COLLATE UTF8_BINARY)
USING iceberg
PARTITIONED BY (dt)
CLUSTERED BY (item_id)
INTO 2 BUCKETS
LOCATION 'hdfs://hadoop-master1.orb.local:8020/warehouse/t1'
TBLPROPERTIES (
'current-snapshot-id' = 'none',
'format' = 'iceberg/parquet',
'format-version' = '2',
'write.parquet.compression-codec' = 'zstd')
Time taken: 0.253 seconds, Fetched 1 row(s)
```
### Does this PR introduce _any_ user-facing change?
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Yes, `SHOW CREATE TABLE ...` correctly displays the `PARTITIONED BY` clause
for v2 table that has multi bucket partition transforms.
### How was this patch tested?
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New UT.
### Was this patch authored or co-authored using generative AI tooling?
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No.
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