[Enhancement] Add hive udf for handle bitmap types (backport #36949)

[mergify]

This is an automatic backport of pull request #36949 done by Mergify.
Cherry-pick of 1c06cdd has failed:

On branch mergify/bp/branch-2.5/pr-36949
Your branch is up to date with 'origin/branch-2.5'.

You are currently cherry-picking commit 1c06cddcfa.
  (fix conflicts and run "git cherry-pick --continue")
  (use "git cherry-pick --skip" to skip this patch)
  (use "git cherry-pick --abort" to cancel the cherry-pick operation)

Changes to be committed:
	new file:   fe/hive-udf/pom.xml
	new file:   fe/hive-udf/src/main/java/com/starrocks/hive/udf/UDAFBitmapAgg.java
	new file:   fe/hive-udf/src/main/java/com/starrocks/hive/udf/UDFBitmapCount.java
	new file:   fe/hive-udf/src/main/java/com/starrocks/hive/udf/UDFBitmapFromString.java
	new file:   fe/hive-udf/src/main/java/com/starrocks/hive/udf/UDFBitmapToString.java
	modified:   fe/plugin-common/src/test/java/com/starrocks/types/BitmapValueTest.java
	new file:   fe/plugin-common/src/test/java/com/starrocks/types/Roaring64MapTest.java
	modified:   fe/pom.xml

Unmerged paths:
  (use "git add <file>..." to mark resolution)
	both modified:   build.sh

To fix up this pull request, you can check it out locally. See documentation: https://docs.github.com/en/github/collaborating-with-pull-requests/reviewing-changes-in-pull-requests/checking-out-pull-requests-locally

---

Mergify commands and options

More conditions and actions can be found in the documentation.

You can also trigger Mergify actions by commenting on this pull request:

• @Mergifyio refresh will re-evaluate the rules
• @Mergifyio rebase will rebase this PR on its base branch
• @Mergifyio update will merge the base branch into this PR
• @Mergifyio backport <destination> will backport this PR on <destination> branch

Additionally, on Mergify dashboard you can:

• look at your merge queues
• generate the Mergify configuration with the config editor.

Finally, you can contact us on https://mergify.com

Why I'm doing:

Users often have this need:

1. Build the bitmap in hive/spark and then import it into StarRocks to reduce the construction pressure on StarRocks.
2. After building the bitmap in StarRocks, export it into a parquet file for use by hive/spark.

Hive can use the udf to import/export/process bitmap.

How to use:

# create table in starrocks
CREATE TABLE `t1` (
  `c1` int(11) NULL COMMENT "",
  `c2` bitmap BITMAP_UNION NULL COMMENT ""
) ENGINE=OLAP 
AGGREGATE KEY(`c1`)
DISTRIBUTED BY HASH(`c1`)
PROPERTIES (
"replication_num" = "1",
"in_memory" = "false",
"enable_persistent_index" = "false",
"replicated_storage" = "true",
"fast_schema_evolution" = "true",
"compression" = "LZ4"
);

# prepare data
mysql> select c1, bitmap_to_string(c2) from t1;
+------+-------------------------------------------------------------------------------------------------------------+
| c1   | bitmap_to_string(c2)                                                                                        |
+------+-------------------------------------------------------------------------------------------------------------+
|    1 | 1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39 |
+------+-------------------------------------------------------------------------------------------------------------+
1 row in set (0.02 sec)


# write to hdfs
 insert into files("path"="hdfs://xxx:9000/user/hive/warehouse/lxh.db/tmp/", "format"="parquet", "compression" = "uncompressed") select c1, bitmap_to_binary(c2) as c2 from t1;

# create table in hive
hive> create table t1(c1 int, c2 binary) stored as parquet;
OK

# load parquet file to hive table
load data inpath 'hdfs://xxxx:9000/user/hive/warehouse/lxh.db/tmp/data_1c3aff0b-9991-11ee-80ba-2ea9721a9a2d_0_1.parquet' into table lxh.t1;

# add udf.jar to hive
hive> add jar hdfs://xxxx:9000/user/hive/warehouse/lxh.db/hive-udf-1.0.0.jar;

# create hive udf
hive> create temporary function  bitmap_to_string as 'com.starrocks.hive.udf.UDFBitmapToString';
OK
Time taken: 0.091 seconds
hive> create temporary function  bitmap_count as 'com.starrocks.hive.udf.UDFBitmapCount';
OK
Time taken: 0.075 seconds
hive> create temporary function  bitmap_agg as 'com.starrocks.hive.udf.UDAFBitmapAgg';
OK
Time taken: 0.074 seconds
hive> create temporary function  bitmap_from_string as 'com.starrocks.hive.udf.UDFBitmapFromString';
OK
Time taken: 0.074 seconds

# use udf in hive
hive> select c1, bitmap_count(c2) from t1;
1       39

select c1, bitmap_to_string(c2) from t1;
1       1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39

# use bitmap_agg to generate bitmap
hive> select * from t2;
1       1
2       2
3       3

hive> select bitmap_to_string(bitmap_agg(c2)) from t2;
1,2,3

What I'm doing:

Add hive udf to handle bitmap type.

TODO 1: Currently the test framework don't support hive udf, i will add the test case to StarRocksTest framework later.
TODO 2: Add more bitmap function (BitmapAnd, BitmapOr, BitmapXor...)

What type of PR is this:

• BugFix
• Feature
• Enhancement
• Refactor
• UT
• Doc
• Tool

Does this PR entail a change in behavior?

• Yes, this PR will result in a change in behavior.
• No, this PR will not result in a change in behavior.

If yes, please specify the type of change:

• Interface/UI changes: syntax, type conversion, expression evaluation, display information
• Parameter changes: default values, similar parameters but with different default values
• Policy changes: use new policy to replace old one, functionality automatically enabled
• Feature removed
• Miscellaneous: upgrade & downgrade compatibility, etc.

Checklist:

• I have added test cases for my bug fix or my new feature
• This pr needs user documentation (for new or modified features or behaviors)
  • I have added documentation for my new feature or new function
• This is a backport pr

[mergify]

@mergify[bot]: Backport conflict, please reslove the conflict and resubmit the pr

[sonarcloud]

Quality Gate passed

The SonarCloud Quality Gate passed, but some issues were introduced.

12 New issues
0 Security Hotspots
0.0% Coverage on New Code
0.0% Duplication on New Code

See analysis details on SonarCloud

[github-actions]

[FE Incremental Coverage Report]

✅ pass : 0 / 0 (0%)

[github-actions]

[BE Incremental Coverage Report]

✅ pass : 0 / 0 (0%)