Add a new distributed cost model in Nereids. The new cost model models the cost of the pipeline execute engine by dividing cost into run and start costs. They are:
* START COST: the cost from starting to emitting the fist tuple
* RUN COST: the cost from emitting the first tuple to emitting all tuples
For the parent operator and child operator, we assume the timeline of them is:
```
child start ---> child run --------------------> finish
|---> parent start ---> parent run -> finish
```
Therefore, in the parallel model, we can get:
```
start_cost(parent) = start_cost(child) + start_cost(parent)
run_cost(parent) = max(run_cost(child), start_cost(parent) + run_cost(parent))
```
1. Support for more expression type
2. Support derive with histogram
3. Use StatisticRange to abstract to logic
4. Use Statistics rather than StatisDeriveResult
* [Feature](vectorized)(quantile_state): support vectorized quantile state functions
1. now quantile column only support not nullable
2. add up some regression test cases
3. set default enable_quantile_state_type = true
---------
Co-authored-by: spaces-x <weixiang06@meituan.com>
1. introduce a new type `VARIANT` to encapsulate dynamic generated columns for hidding the detail of types and names of newly generated columns
2. introduce a new expression `SchemaChangeExpr` for doing schema change for extensibility
This pull request for bellow problem :
regression pipleline fail case always meet error "Failed to create partition. Timeout. Unfinished mark: 10003=57059", so adjust tablet_create_timeout_second to 100
WITH t0 AS(
SELECT report.date1 AS date2 FROM(
SELECT DATE_FORMAT(date, '%Y%m%d') AS date1 FROM cir_1756_t1
) report GROUP BY report.date1
),
t3 AS(
SELECT date_format(date, '%Y%m%d') AS date3
FROM cir_1756_t2
)
SELECT row_number() OVER(ORDER BY date2)
FROM(
SELECT t0.date2 FROM t0 LEFT JOIN t3 ON t0.date2 = t3.date3
) tx;
The DATE_FORMAT(date, '%Y%m%d') was calculated in GROUP BY node, which is wrong. This expr should be calculated inside the subquery.
Support delta encoding and rle(bool) to read Glue data
add delta bit pack decoder,
add delta length byte array decoder,
add delta byte array decoder.
add rle bool decoder.
We find some data type is read with delta encoding on AWS Glue, so it should be supported.
The definition of delta encoding can refer to the delta encoding in parquet.
1. add support `CAST AS Struct` from Struct type;
2. fix crash while `CAST('{}' AS Struct)`;
3. `CAST('' AS complext_type)` should return NULL instead of empty object;
---------
Co-authored-by: cambyzju <zhuxiaoli01@baidu.com>
the input replicate_offsets should be the same size as ColumnArray's offset.
```
IColumn::Offsets replicate_offsets(get_offsets().size(), 0);
// |---------------------|-------------------------|-------------------------|
// [0, begin) [begin, begin + count_sz) [begin + count_sz, size())
// do not need to copy copy counts[n] times do not need to copy
```
we should
The current distribution model for Doris is as follows:
OlapTableSink seperate the original Block into serveral subblocks of each node(BE) by tablets distribution and distributes subblocks to storage engine of backends, then the storage engine will seperate the subblock into multiple tablets channel and each delta writer will handle partial of the block.
This model causes blocks to be split according to tablets, and the splitting process can be a relatively heavy operation. After splitting, the blocks are distributed to different DeltaWriters (Memtables) through RPCs to TabletChannels. The distribution operation on TabletChannels is also a relatively heavy operation. If the distribution property of the table is RANDOM distribution, then we have the opportunity to distribute the blocks according to the complete block during distribution. The advantage of doing so is to reduce memory copying and improve write locality, similar to appending the entire block to the memtable.
This optimze could save 10% ~ 20% CPU cost of RANDOM distribution table load when enable load_to_single_tablet
Example:
SELECT ROUTINE_SCHEMA AS PROCEDURE_CAT, NULL AS PROCEDURE_SCHEM,ROUTINE_NAME AS PROCEDURE_NAME,NULL AS NUM_INPUT_PARAMS,NULL AS NUM_OUTPUT_PARAMS,NULL AS NUM_RESULT_SETS,ROUTINE_COMMENT AS REMARKS,IF(ROUTINE_TYPE = 'FUNCTION', 2,IF(ROUTINE_TYPE= 'PROCEDURE', 1, 0)) AS PROCEDURE_TYPE FROM INFORMATION_SCHEMA.ROUTINES WHERE ROUTINE_SCHEMA = DATABASE();
ERROR 1105 (HY000): errCode = 2, detailMessage = invalid parameter
This wrong and some BI tools could not work correctly.
In the past, only simple predicates (slot=const), and, like, or (only bitmap index) could be pushed down to the storage layer. scan process:
Read part of the column first, and calculate the row ids with a simple push-down predicate.
Use row ids to read the remaining columns and pass them to the scanner, and the scanner filters the remaining predicates.
This pr will also push-down the remaining predicates (functions, nested predicates...) in the scanner to the storage layer for filtering. scan process:
Read part of the column first, and use the push-down simple predicate to calculate the row ids, (same as above)
Use row ids to read the columns needed for the remaining predicates, and use the pushed-down remaining predicates to reduce the number of row ids again.
Use row ids to read the remaining columns and pass them to the scanner.
before this pr, add or drop inverted index not change table state, maybe multiple alter jobs executed at the same time, that may lead to some unexpected problems.
This pull request for bellow problem :
when fe config set sys_log_verbos_modules = org.apache.doris, which will make fe get writeLock longer. In this config, make a stream load, that stream load will failed with this message ([ANALYSIS_ERROR]errCode = 2, detailMessage = get tableList write lock timeout, tableList=(Table [id=86135, name=flink_connector, type=OLAP]))
ECB algorithm, block_encryption_mode does not take effect, it only takes effect when init vector is provided.
Solved: 192/256 supports calculation without init vector
For other algorithms, an error should be reported when there is no init vector
Initialization Vector. The default value for the block_encryption_mode system variable is aes-128-ecb, or ECB mode, which does not require an initialization vector. The alternative permitted block encryption modes CBC, CFB1, CFB8, CFB128, and OFB all require an initialization vector.
Reference: https://dev.mysql.com/doc/refman/8.0/en/encryption-functions.html#function_aes-decrypt
Note: This fix does not support smooth upgrades. during upgrade process, query may report error: funciton not found
* A in(B) -> bitmap_contains(bitmap_union(B), A)
support bitmap runtime filter on nereids
* GroupPlan -> Plan
* fmt
* fix target cast problem
remove test code
Function esquery does not work because there is a problem parsing the first parameter type.
The first parameter, which is SlotRef, will be cast to CastExpr. This will cause error while generating ES DSL.
Add more types to adapt esquery function.
