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### _Why are the changes needed?_
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The PR support this Strategy to avoid scan huge hive partitions or unused necessary partition filter on partitioned table，It will abort the SQL query with thrown exception via scan hive table partitions exceed `spark.sql.watchdog.maxHivePartitions`, meanwhile show the related hive table partition struct to assist user to optimize sql according the given suggestion
### _How was this patch tested?_
- [x] Add some test cases that check the changes thoroughly including negative and positive cases if possible
- [x] Add screenshots for manual tests if appropriate
<img width="1440" alt="截屏2021-09-12 下午2 30 20" src="https://user-images.githubusercontent.com/635169/132974627-7879ee2b-4624-4bb4-bec9-3ed0940c3986.png">
- [x] [Run test](https://kyuubi.readthedocs.io/en/latest/develop_tools/testing.html#running-tests) locally before make a pull request
Closes#1086 from i7xh/watchdogMaxHivePartition.
Closes#1086
d535b57e [h] Fixed: scala style newline of end
774a486f [h] Resolved isssue: shrink unnesscary test data
0541dcc5 [h] Resovled issue: replace listPartitions with listPartitionNames
5a97c5d0 [h] Resolved issue: unify Exceed maxHivePartitions without partition filter
1581b297 [h] resovled the code review issues
d0b0fc46 [h] Add maxHivePartitions Strategy to avoid scan excessive hive partitions on partitioned table
Authored-by: h <h@zhihu.com>
Signed-off-by: ulysses-you <ulyssesyou@apache.org>
9dfbd2b830
