Add MaxOutputRows rule for output rows limitation to avoid huge output unexpectedly
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### _Why are the changes needed?_
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We support the PR feature with limitation that avoid huge output rows in user ad-hoc query unexpected，Generally ad-hoc query seems needle in a Haystack, user pick few computed result data in huge data from warehouse, we mainly used in below cases:
- CASE 1:
```
SELECT [c1, c2, ...]
```
- CASE 2:
```
WITH CTE AS (...)
SELECT [c1, c2, ...] FROM Express(CTE) ...
```
### _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12 19 28" src="https://user-images.githubusercontent.com/635169/132972078-c4821135-0520-420d-9ab8-24e124f6c6c9.png">
- [x] [Run test](https://kyuubi.readthedocs.io/en/latest/develop_tools/testing.html#running-tests) locally before make a pull request
Closes#1085 from i7xh/watchdogMaxOutputRows.
Closes#1085
77aa6ff3 [h] Resolve issue: unify maxOutputRows and using unittest setupData
939d2556 [h] Resolve issue: well-format code
5b0383dd [h] Fix issue: Final Limit according to spark.sql.watchdog.forcedMaxOutputRows
7dcbb0a4 [h] Resolve issue: remove origin match from rule
f4dff4cf [h] Resolve issue: update forcedMaxOutputRows config doc
ae21c1ac [h] Resovled issue: Support Aggregate force limitation and Remove InsertIntoDataSourceDirCommand process
a9d3640b [h] Resolved code review issue
01c87fd2 [h] Add MaxOutputRows rule for output rows limitation to avoid huge output rows of query unexpectedly
Authored-by: h <h@zhihu.com>
Signed-off-by: ulysses-you <ulyssesyou@apache.org>
cc3ca56ab2
