Sometimes, `show load profile` will only show part of the insert opertion's profile.
This is because we assume that for all load operation(including insert), there is only one fragment in the plan.
But actually, there will be more than 1 fragment in plan. eg:
`insert into tbl1 select * from tbl1 limit 1` will have 2 fragments.
This PR mainly changes:
1. modify the `show load profile`
Before: `show load profile "/queryid/taskid/instanceid";`
After: `show load profile "/queryid/taskid/fragmentid/instanceid";`
2. Modify the display of `ReadColumns` in OlapScanNode
Because for wide table, the line of `ReadColumns` may be too long for show in profile.
So I wrap it and each line contains at most 10 columns names.
3. Fix tvf not working with pipeline engine, follow up #18376
Optimize concat function 29% up by memcpy_small_allow_read_write_overflow15.
Optimize string functions list: concat, convert_to, mask, initcap, lower, upper.
concat function has 29% up:
Optimize constant empty string compare:
(1) When the constant empy string '' (size is 0), we can compare offsets in SIMD directly.
q10: SELECT MobilePhoneModel, COUNT(DISTINCT UserID) AS u FROM hits WHERE MobilePhoneModel <> '' GROUP BY MobilePhoneModel ORDER BY u DESC LIMIT 10;
q11: SELECT MobilePhone, MobilePhoneModel, COUNT(DISTINCT UserID) AS u FROM hits WHERE MobilePhoneModel <> '' GROUP BY MobilePhone, MobilePhoneModel ORDER BY u DESC LIMIT 10;
q12: SELECT SearchPhrase, COUNT(*) AS c FROM hits WHERE SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
q13: SELECT SearchPhrase, COUNT(DISTINCT UserID) AS u FROM hits WHERE SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY u DESC LIMIT 10;
q14: SELECT SearchEngineID, SearchPhrase, COUNT(*) AS c FROM hits WHERE SearchPhrase <> '' GROUP BY SearchEngineID, SearchPhrase ORDER BY c DESC LIMIT 10;
Issue Number: close #xxx
BE will core dump while use whole/sub file cache.
Call func CachedRemoteFileReader/WholeFileCache/SubFileCache::read_at_impl() did not pass IOContext when reading segment footer.
In the current implementation of the function of dynamically add and drop inverted index, there is a problem that the inverted index information of historical data is out of date after compaction on the base tablet.
In the future, I will submit PRs to solve this problem. Now, temporarily add or drop inverted index by the directly schema change logic
When processing data in hash table for right join and full outer join, if the output data rows of one hash bucket excceeds batch size, the logic when continue processing this bucket is wrong, it should differentiate between different join types.
Fix tow bugs:
1. Enabling file caching requires both `FE session` and `BE` configurations(enable_file_cache=true) to be enabled.
2. `ParquetReader` has not used `IOContext` previously, but `CachedRemoteFileReader::read_at` needs `IOContext` after PR(#17586).
#18015 enables stream load profile log, however be will encounter rpc fail when loading tpch data(see #18291). This is because when `is_report_success` is true, be will reportExecStatus to fe, but fe cannot find QueryInfo in `coordinatorMap`, thus it will return error to be.
Co-authored-by: ByteYue <[yj976240184@gmail.com](mailto:yj976240184@gmail.com)>
This PR is an optimization for https://github.com/apache/doris/pull/17478:
1. Change the buffer size of `LineReader` to 4MB to align with the size of prefetch buffer.
2. Lazily prefetch data in the first read to prevent wasted reading.
3. S3 block size is 32MB only, which is too small for a file split. Set 128MB as default file split size.
4. Add `_end_offset` for prefetch buffer to prevent wasted reading.
The query performance of reading data on object storage is improved by more than 3x+.
jdbc read array type get result from Doris is string, PG is java.sql.array, CK is java.lang.object
it's difficult to maintain and read the code,
so change all database's array result to string, then add a cast function from string to doris array type
When full clone, if the max version of the local table is less than or equal to the max version of the clone table, there is no need to calculate the delete bitmap again.
For scan node with no vectorized predicate, the input column for the first short-circuit predicate is dense and we don't need to access the selector column.
This PR improve performance by ~30% on TPCH Q3.
We want to use file cache for caching cold data in S3.
When reading them, we want to know where the data come from and the time taken to read the datas.
So we support the metrics in olap scan node.
And for clearing the information, i also update the fields about the metrics.
Optimize q20, q21, q22, q23 LIKE_SUBSTRING (like '%xxxx%'). Idea is from clickhouse stringsearcher:
Stringsearcher is about 10%~20% faster than volnitsky algorithm when needle size is less than 10 using two chars at beginning search in SIMD .
Stringsearcher is faster than volnitsky algorithm, when needle size is less than 21.
The changes are as follows:
Using first two chars of needle at beginning search. We can compare two chars of needle and [n:n+17) chars in haystack in SIMD in one loop. Filter efficiency will be higher.
When env support SIMD, we use stringsearcher.
Test result in clickbench:
q20 is about 15% up.
q20: SELECT COUNT(*) FROM hits WHERE URL LIKE '%google%';
q21, q22 is about 1%~5% up.
q21: SELECT SearchPhrase, MIN(URL), COUNT(*) AS c FROM hits WHERE URL LIKE '%google%' AND SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
q22: SELECT SearchPhrase, MIN(URL), MIN(Title), COUNT(*) AS c, COUNT(DISTINCT UserID) FROM hits WHERE Title LIKE '%Google%' AND URL NOT LIKE '%.google.%' AND SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
q23 is about 30%~40% up and not stable.
q23: SELECT * FROM hits WHERE URL LIKE '%google%' ORDER BY EventTime LIMIT 10;
Add St_Angle/St_azimuth function：
St_Angle：
Enter three point, which represent two intersecting lines. Returns the angle between these lines. Point 2 and point 1 represent the first line and point 2 and point 3 represent the second line. The angle between these lines is in radians, in the range [0, 2pi). The angle is measured clockwise from the first line to the second line.
`
mysql> SELECT ST_Angle(ST_Point(1, 0),ST_Point(0, 0),ST_Point(0, 1));
+----------------------------------------------------------------------+
| st_angle(st_point(1.0, 0.0), st_point(0.0, 0.0), st_point(0.0, 1.0)) |
+----------------------------------------------------------------------+
| 4.71238898038469 |
+----------------------------------------------------------------------+
1 row in set (0.04 sec)
`
St_azimuth：
Enter two point, and returns the azimuth of the line segment formed by points 1 and 2. The azimuth is the angle in radians measured between the line from point 1 facing true North to the line segment from point 1 to point 2.
`
mysql> SELECT st_azimuth(ST_Point(0, 0),ST_Point(1, 0));
+----------------------------------------------------+
| st_azimuth(st_point(0.0, 0.0), st_point(1.0, 0.0)) |
+----------------------------------------------------+
| 1.5707963267948966 |
+----------------------------------------------------+
1 row in set (0.04 sec)
Result of functions grouping and grouping_id is always not nullable, but outer join will convert the result column to nullable when necessary, which will cause mismatch of column type and column object when executing unctions grouping and grouping_id.
