Fix Thread pool token was shut down error.
This is because when there are more than 1 fragment of a query on one BE, the thread token maybe
reset incorrectly, causing thread token shutdown earlier.
cherry-pick from master
Introduced from #13021
* [enhancemeng](sql) Remove unused wide common factors to improve scan performance in ExtractCommonFactorsRule
* fix regression test
Co-authored-by: caiconghui1 <caiconghui1@jd.com>
Originally, Order By Limit returned a maximum of 65535 rows of data by default during the query,
but now many businesses do not apply this limit.
It is necessary to add larger data after the query statement to complete the full data query,
which is extremely inconvenient, so adjustments have been made.
At the same time, I added the variable DEFAULT_ORDER_BY_LIMIT to the SessionVariable,
the default value is -1, if the user does not use the LIMIT keyword or the LIMIT value is a negative integer,
the default query return value is Long.MAX_VALUE. If the corresponding maximum query value is set,
the number of data items is returned according to the maximum query value or the value followed by the
LIMIT keyword.
For the table name check, the regular match error and the length exceeds the limit, both of which display the message "Incorrect table name 'xxx'. Table name regex is 'xxx'".
Obviously, the message cannot clearly point out what kind of error it is.
So it is a better way to separate the two error messages.
# Proposed changes
- Refactor AggregateFunction
1. AggregateFunction implement ComputeSignature
3. Add a CustomSignature to dynamic compute signature, we can check input type and compute implicit cast type in the `customSignature` method
2. Add PartialAggType to record some type information before disassemble aggregate
4. Refine and create a custom catalog function when translate AggregateFunction, without `finalizeForNereids`
- Support explain plan
1. explain parsed plan select ...
5. explain analyzed plan select ...
6. explain rewritten/logical plan select ...
7. explain optimized/physical plan select ...
8. explain all plan select ...
before:
MySQL [test]> select cast('135.759999999' as DECIMAL(10,3));
+----------------------------------------+
| CAST('135.759999999' AS DECIMAL(10,3)) |
+----------------------------------------+
| 135.759999999 |
+----------------------------------------+
1 row in set (0.00 sec)
now:
MySQL [stage]> select cast('135.759999999' as DECIMAL(10,3));
+----------------------------------------+
| CAST('135.759999999' AS DECIMAL(10,3)) |
+----------------------------------------+
| 135.759 |
+----------------------------------------+
1 row in set (0.01 sec)
When executing create table as select stmt,
the varchar/char/string type of column in created table will be unified to string type.
Because when select from external table (mysql/pg, etc), the length of varchar in external database
is calculated by "char" length, not "byte" length.
So if there is a column with varchar(10) in external table, then there will be a same varchar(10)
in created table. But the byte length of data in external table may be larger than 10, causing failure of CTAS.
Change to string will not impact performance of the capacity of disk storage.
And notice that if a string type column is the first column, it will be changed to varchar(65535),
because we do not allow string type column as sort key column.
When you create the Uniq table, you can specify the mapping of sequence column to other columns.
You no longer need to specify mapping column when importing.
Invalidate catalog/db/table cache when doing
refresh catalog/db/table.
Tested table with 10000 partitions. The refresh operation will cost about 10-20 ms.
Collect HMS external table statistic information through external metadata.
Insert the result into __internal_schema.column_statistics using insert into SQL.
Add regression test for external hive orc table. This PR has generated all basic types support by hive orc, and create a hive external table to touch them in docker environment.
Functions to be tested:
1. Ensure that all types are parsed correctly
2. Ensure that the null map of all types are parsed correctly
3. Ensure that the `SearchArgument` of `OrcReader` works well
4. Only select partition columns
If a table already been analyzed, then we analyze it again, the new statistics would larger than expected since the incremental would contain the values from table level statistics since the SQL lack the predication for the nullability of part_id
In previous implementation, when doing list partition prune, we need to generation `rangeToId`
every time we doing prune.
But `rangeToId` is actually a static data that should be create-once-use-every-where.
So for hive partition, I created the `rangeToId` and all other necessary data structures for partition prunning
in partition cache, so that we can use it directly.
In my test, the cost of partition prune for 10000 partitions reduce from 8s -> 0.2s.
Aslo add "partition" info in explain string for hive table.
```
| 0:VEXTERNAL_FILE_SCAN_NODE |
| predicates: `nation` = '0024c95b' |
| inputSplitNum=1, totalFileSize=4750, scanRanges=1 |
| partition=1/10000 |
| numNodes=1 |
| limit: 10 |
```
Bug fix:
1. Fix bug that es scan node can not filter data
2. Fix bug that query es with predicate like `where substring(test2,2) = "ext2";` will fail at planner phase.
`Unexpected exception: org.apache.doris.analysis.FunctionCallExpr cannot be cast to org.apache.doris.analysis.SlotRef`
TODO:
1. Some problem when quering es version 8: ` Unexpected exception: Index: 0, Size: 0`, will be fixed later.
1. split DateLiteral and DateTimeLiteral into V1 and V2
2. add a type coercion about DateLikeType: DateTimeV2Type > DateTimeType > DateV2Type > DateType
3. add a rule to remove unnecessary CAST on DateLikeType in ComparisonPredicate
Many feature in fe session variable is disabled by default. So that these features do not pass github workflow test actually. I add a fuzzy test config in fe.conf. If it is set to true, then we will use fuzzy session variables for every connection so that every feature developer could set fuzzy values for its config.
Co-authored-by: yiguolei <yiguolei@gmail.com>
1. Reduce the configuration options for statistics framework, and add comment for those rest.
2. Move the logic of creation of analysis job to the `StatisticsRepository` which defined all the functions used to interact with internal statistics table
3. Move AnalysisJobScheduler to the statistics package
4. Support display and injections manually for statistics
in origin algorithm, the penalty is abs(leftRowCount - RightRowCount). this will make some right deep tree escape from penalty， because the substraction is almost zero. Penalty by RightRowCount can avoid this escape.
1. when we translate colocated join, we lost RF information attached to the right child, and hence BE will not generate those RFs.
2. when a RF is useless, we prune all RFs on the scan node by mistake
Create partitions use ：
```
PARTITION BY RANGE(event_day)(
FROM ("2000-11-14") TO ("2021-11-14") INTERVAL 1 YEAR,
FROM ("2021-11-14") TO ("2022-11-14") INTERVAL 1 MONTH,
FROM ("2022-11-14") TO ("2023-01-03") INTERVAL 1 WEEK,
FROM ("2023-01-03") TO ("2023-01-14") INTERVAL 1 DAY,
PARTITION p_20230114 VALUES [('2023-01-14'), ('2023-01-15'))
)
PARTITION BY RANGE(event_time)(
FROM ("2023-01-03 12") TO ("2023-01-14 22") INTERVAL 1 HOUR
)
```
can create a year/month/week/day/hour's date partitions in a batch,
also it is compatible with the single partitioning method.
## Problem summary
This pr support
1. `numbers` TableValuedFunction for nereids test, like `select * from numbers(number = 10, backend_num = 1)`
2. bitmap/hll aggregate function
3. support find variable length function in function registry, like `coalesce`
4. fix a bug that print nerieds trace will throw exception because use RewriteRule in ApplyRuleJob, e.g: `AggregateDisassemble`, introduced by #13957
To support query like that:
SELECT c1 + 1 as a, sum(c2) FROM t GROUP BY c1 + 1 ORDER BY c1 + 1
After rewrite, plan will equal to
SELECT c1 + 1 as a, sum(c2) FROM t GROUP BY c1 + 1 ORDER BY a
