* 1. update ndv in Stats,
2. skip __DORIS_DELETE_SIGN__=0 in stats derive,
3. equalTo in stats derive
4. update agg stats derive, support the case: all column_stats are unknown
* computeSize
* fix ut
Before this PR when encountering null values with some columns which is specified as `NOT NULL`, null values will not be filtered,thi behavior does not match with the original load behavior.
Second column alignment logic has bug :
```
template <typename ColumnInserterFn>
void align_variant_by_name_and_type(ColumnObject& dst, const ColumnObject& src, size_t row_cnt,
ColumnInserterFn inserter) {
CHECK(dst.is_finalized() && src.is_finalized());
// Use rows() here instead of size(), since size() will check_consistency
// but we could not check_consistency since num_rows will be upgraded even
// if src and dst is empty, we just increase the num_rows of dst and fill
// num_rows of default values when meet new data
size_t num_rows = dst.rows();
```
basic functions for map datatype:
- MAP<K, V> map(K k1, V v1, ...)
- BIGINT map_size(MAP<K, V> m)
- BOOL map_contains_key(MAP<K, V> m, K k1)
- BOOL map_contains_value(MAP<K, V> m, V v1)
- ARRAY< K> map_keys(MAP<K, V> m)
- ARRAY< V> map_values(MAP<K, V> m)
aggregate_strategies execution too slow, use smaller table valued function to speed up
add a p2 case nereids_syntax_p2/aggregate_strategies to use larger table valued function to ensure correct
remove case nereids_syntax_p0/test_join_nereids since it redundant with nereids_p0/join/test_join
remove unstable case in query_p0/aggregate/aggregate
When compaction case, memory map offsets coming to same olap convertor which is from 0 to 0+size
but it should be continue in different pages when in one segment writer .
eg :
last block with map offset : [3, 6, 8, ... 100]
this block with map offset : [5, 10, 15 ..., 100]
the same convertor should record last offset to make later coming offset followed last offset.
so after convertor :
the current offset should [105, 110, 115, ... 200], then column writer just call append_data() to make the right offset data append pages
The problem is an exception when doing analyze:
java.lang.IllegalStateException: exceptions :
errCode = 2, detailMessage = select list expression not produced by aggregation output (missing from GROUP BY clause?): xxx
The scenario is:
select aes_decrypt(xxx,xxx) as c0 from table group by c0;
Analyze of problem:
The direct problem is mismatched of slotref, and this mismatched due to the mismatched of parameter number of aes_decrypt function. When debuging, we can see the slotref of group column is added to ExprSubstitutionMap, but can not matching with select result columns. And this is because when substiting expr it will analyze again, so the parameter would be added twice. This will cause the mismatching of function, so it would not be substitute as a slotref, the exception would be throw.
Fix:
Add call once to adding third parameter of aes_decrypt type function. Compare the child we want to add to the last child of function. If they are the same, do not add it.
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.
