Optimization "select count(*) from table" stmtement , push down "count" type to BE.
support file type : parquet ，orc in hive .
1. 4kfiles , 60kwline num
before: 1 min 37.70 sec
after: 50.18 sec
2. 50files , 60kwline num
before: 1.12 sec
after: 0.82 sec
Enhance broadcast join cost calculation, by considering both the build side effort from building bigger hash table, and more probe side effort from bigger cost of ProbeWhenBuildSideOutput and ProbeWhenSearchHashTable, if parallel_fragment_exec_instance_num is more than 1.
Current solution gives a penalty factor on rightRowCount, and the factor is the total instance number to the power of 2.
Penalty on outputRows is not taken currently and will be refined in next generation cost model.
Also brings some update for shape checking:
update original control variable in shape file parallel_fragment_exec_instance_num to parallel_pipeline_task_num, if pipeline is enabled.
fix a be_number variable inactive issue.
consider sql:
```
SELECT *
FROM sub_query_correlated_subquery1 t1
WHERE coalesce(bitand(
cast(
(SELECT sum(k1)
FROM sub_query_correlated_subquery3 ) AS int),
cast(t1.k1 AS int)),
coalesce(t1.k1, t1.k2)) is NULL
ORDER BY t1.k1, t1.k2;
```
is Null conjunct is lost in SubqueryToApply rule. This pr fix it
Fix tow bugs:
1. Unexpected null values in array column. If 65535 consecutive values are not null in nullable array column, this error will be triggered. The reason is that the array parser did not handle boundary conditions.
2. The number of rows of key filed, and that of value field in map column are not equal. Similarly, the number of rows among fields in struct column are not the same. This would be triggered when the number of rows are not equal among parquet pages of different columns in a row group.
### Issue
when partition has null partitions, it throws error
`Failed to fill partition column: t_int=null`
### Resolution
- Fix the following null partitions error in iceberg tables by replacing null partition to '\N'.
- Add regression test for hive null partition.
Improve external table statistics collection, including log, observability and fix some bugs.
1. Add Running state for statistics job.
2. Add progress for show analyze job. (n/m tasks finished, n/m task failed and so on)
3. Add analyze time cost for show analyze task.
4. Make task failure message more clear.
5. Synchronize the job status updating code in updateTaskStatus.
6. Fix NPE in HMSAnalyzeTask. (Avoid refreshing statistics cache if the collection sql failed)
7. Return error message for with sync collection while timeout.
8. Log level improvement
9. Fix misuse of logCreateAnalysisJob for tasks.
problem:
1. create a iceberg_type catalog:
2. use iceberg catalog to specify verison
```
mysql> show catalog iceberg;
+----------------------+--------------------------+
| Key | Value |
+----------------------+--------------------------+
| type | iceberg |
| iceberg.catalog.type | hms |
| hive.metastore.uris | thrift://127.0.0.1:9083 |
| hadoop.username | hadoop |
| create_time | 2023-07-25 16:51:00.522 |
+----------------------+--------------------------+
5 rows in set (0.02 sec)
mysql> select * from iceberg.iceberg_db.tb1 FOR VERSION AS OF 8783036402036752909;
ERROR 5090 (42000): errCode = 2, detailMessage = Only iceberg/hudi external table supports time travel in current version
```
change:
Add `ICEBERG_EXTERNAL_TABLE` type for specify the version and time
* Improve db update binlog properties (binlog.enable = "true") with check
all table enable binlog
* Add more test_alter_database_property regression test
