### What changes were proposed in this pull request?
This is a re-work of https://github.com/apache/spark/pull/30003, here we add support for writing Hive bucketed table with Parquet/ORC file format (data source v1 write path and Hive hash as the hash function). Support for Hive's other file format will be added in follow up PR.
The changes are mostly on:
* `HiveMetastoreCatalog.scala`: When converting hive table relation to data source relation, pass bucket info (BucketSpec) and other hive related info as options into `HadoopFsRelation` and `LogicalRelation`, which can be later accessed by `FileFormatWriter` to customize bucket id and file name.
* `FileFormatWriter.scala`: Use `HiveHash` for `bucketIdExpression` if it's writing to Hive bucketed table. In addition, Spark output file name should follow Hive/Presto/Trino bucketed file naming convention. Introduce another parameter `bucketFileNamePrefix` and it introduces subsequent change in `FileFormatDataWriter`.
* `HadoopMapReduceCommitProtocol`: Implement the new file name APIs introduced in https://github.com/apache/spark/pull/33012, and change its sub-class `PathOutputCommitProtocol`, to make Hive bucketed table writing work with all commit protocol (including S3A commit protocol).
### Why are the changes needed?
To make Spark write other-SQL-engines-compatible bucketed table. Currently Spark bucketed table cannot be leveraged by other SQL engines like Hive and Presto, because it uses a different hash function (Spark murmur3hash) and different file name scheme. With this PR, the Spark-written-Hive-bucketed-table can be efficiently read by Presto and Hive to do bucket filter pruning, join, group-by, etc. This was and is blocking several companies (confirmed from Facebook, Lyft, etc) migrate bucketing workload from Hive to Spark.
### Does this PR introduce _any_ user-facing change?
Yes, any Hive bucketed table (with Parquet/ORC format) written by Spark, is properly bucketed and can be efficiently processed by Hive and Presto/Trino.
### How was this patch tested?
* Added unit test in BucketedWriteWithHiveSupportSuite.scala, to verify bucket file names and each row in each bucket is written properly.
* Tested by Lyft Spark team (Shashank Pedamallu) to read Spark-written bucketed table from Trino, Spark and Hive.
Closes#33432 from c21/hive-bucket-v1.
Authored-by: Cheng Su <chengsu@fb.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
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