* [Optimize] optimize the speed of converting integer to string
* Use fmt and std::from_chars to make convert integer to string and convert string to integer more efficient
Co-authored-by: caiconghui <caiconghui@xiaomi.com>
In RuntimeFilter BloomFilter, decimal column will got a wrong hash value because violating aliasing rules
decimal12_t decimal = { 12, 12 };
murmurhash3(decimal) in bloom filter: 2167721464
expect: 4203026776
Use `commitAsync` to commit offset to kafka, instead of using `commitSync`, which may block for a long time.
Also assign a group.id to routine load if user not specified "property.group.id" property, so that all consumer of
this job will use same group.id instead of a random id for each consume task.
```
alter routine load for cmy2 from kafka("kafka_broker_list" = "ip2:9094", "kafka_topic" = "my_topic");
```
This is useful when the kafka broker list or topic has been changed.
Also modify `show create routine load`, support showing "kafka_partitions" and "kafka_offsets".
Fix#6316
If the size of memtable is greater than max segment size and the memtable will flush more than
one segment file. BE coredump will be triggered when flushing memtable.
[Update] Support update syntax
The current update syntax only supports updating the filtered data of a single table.
Syntax:
* UPDATE table_reference
* SET assignment_list
* [WHERE where_condition]
*
* value:
* {expr}
*
* assignment:
* col_name = value
*
* assignment_list:
* assignment [, assignment] ...
Example
Update unique_table
set v1=1
where k1=1
New Frontend Config: enable_concurrent_update
This configuration is used to control whether multi update stmt can be executed concurrently in one table.
Default value is false which means A table can only have one update task being executed at the same time.
If users want to update the same table concurrently,
they need to modify the configuration value to true and restart the master frontend.
Concurrent updates may cause write conflicts, the result is uncertain, please be careful.
The main realization principle:
1. Read the rows that meet the conditions according to the conditions set by where clause.
2. Modify the result of the row according to the set clause.
3. Write the modified row back to the table.
Some restrictions on the use of update syntax.
1. Only the unique table can be updated
2. Only the value column of the unique table can be updated
3. The where clause currently only supports single tables
Possible risks:
1. Since the current implementation method is a row update,
when the same table is updated concurrently, there may be concurrency conflicts which may cause the incorrect result.
2. Once the conditions of the where clause are unsatisfactory, it is likely to cause a full table scan and affect query performance.
Please pay attention to whether the column in the where clause can match the index when using it.
[Docs][Update] Add update document and sql-reference
Fixed#6229
#6206
At present, our image file does not have file header/footer. When we need to change the image format (such as adding different journal versions to the image), there is no way to distinguish different image formats.
Therefore, we suggest adding file header and footer to the image. By the new image format, we can freely distinguish and define different image reading ways.
The format of the image is as follows:
```
/**
* Image Format:
* |- Image --------------------------------------|
* | - Magic String (4 bytes) |
* | - Header Length (4 bytes) |
* | |- Header -----------------------------| |
* | | |- Json Header ---------------| | |
* | | | - version | | |
* | | | - other key/value(undecided)| | |
* | | |-----------------------------| | |
* | |--------------------------------------| |
* | |
* | |- Image Body -------------------------| |
* | | Object a | |
* | | Object b | |
* | | ... | |
* | |--------------------------------------| |
* | |
* | |- Footer -----------------------------| |
* | | | - Checksum (8 bytes) | |
* | | |- object index --------------| | |
* | | | - index a | | |
* | | | - index b | | |
* | | | ... | | |
* | | |-----------------------------| | |
* | | - other value(undecided) | |
* | |--------------------------------------| |
* | - Footer Length (8 bytes) |
* | - Magic String (4 bytes) |
* |----------------------------------------------|
*/
```
1. Magic Number
One image format is identified by one magic string and one version field. The magic string is save in the first 4 bytes and last 4 bytes in the images.
2. Image Header:
The version is save in the header with json format now.
3. Image Body:
Equal to the original image.
4.Image Footer:
Image footer stores the file offset(index) of many image objects. If necessary, we can read some objects in the image by the footer.
The main purpose of this project is to let doris use development, which can get started quickly,
and give sample codes for the use of various new functions as a reference.
Submit the framework first, and the code will be submitted one after another
Doris developers quickly use the development sample code framework, and the code is submitted one after another
when right table has null value in string column, runtime filter may coredump
```
select count(*) from baseall t1 join test t2 where t1.k7 = t2.k7;
```
Currently, the function lower()/upper() can only handle one char at a time.
A vectorized function has been implemented, it makes performance 2 times faster. Here is the performance test:
The length of char: 26, test 100 times
vectorized-function-cost: 99491 ns
normal-function-cost: 134766 ns
The length of char: 260, test 100 times
vectorized-function-cost: 179341 ns
normal-function-cost: 344995 ns
fix#6265
The reason for the error is that the `Grouping Func Exprs` is substituted twice. In the first substitution, `VirtualSlotRef` is used to replace the original `SlotRef`, and in the second substitution, `VirtualSlotRef` is reported in the `getTable()` Times Null pointer. IN
```
} else if (((SlotRef) child).getDesc().getParent().getTable().getType()
```
For the first substitution, the List of executable exprs in select clause has been substituted.
```
groupingInfo = new GroupingInfo(analyzer, groupByClause.getGroupingType());
groupingInfo.substituteGroupingFn(resultExprs, analyzer);
```
In the second substitution, actually only need to substitute the unique expr in Ordering exprs.
```
createSortInfo(analyzer);
if (sortInfo != null && CollectionUtils.isNotEmpty(sortInfo.getOrderingExprs())) {
if (groupingInfo != null) {
groupingInfo.substituteGroupingFn(sortInfo.getOrderingExprs(), analyzer);
}
}
```
change into:
```
createSortInfo(analyzer);
if (sortInfo != null && CollectionUtils.isNotEmpty(sortInfo.getOrderingExprs())) {
if (groupingInfo != null) {
List<Expr> orderingExprNotInSelect = sortInfo.getOrderingExprs().stream()
.filter(item -> !resultExprs.contains(item)).collect(Collectors.toList());
groupingInfo.substituteGroupingFn(orderingExprNotInSelect, analyzer);
}
}
```
## Proposed changes
Add transaction for the operation of insert. It will cost less time than non-transaction(it will cost 1/1000 time) when you want to insert a amount of rows.
### Syntax
```
BEGIN [ WITH LABEL label];
INSERT INTO table_name ...
[COMMIT | ROLLBACK];
```
### Example
commit a transaction:
```
begin;
insert into Tbl values(11, 22, 33);
commit;
```
rollback a transaction:
```
begin;
insert into Tbl values(11, 22, 33);
rollback;
```
commit a transaction with label:
```
begin with label test_label;
insert into Tbl values(11, 22, 33);
commit;
```
### Description
```
begin: begin a transaction, the next insert will execute in the transaction until commit/rollback;
commit: commit the transaction, the data in the transaction will be inserted into the table;
rollback: abort the transaction, nothing will be inserted into the table;
```
### The main realization principle:
```
1. begin a transaction in the session. next sql is executed in the transaction;
2. insert sql will be parser and get the database name and table name, they will be used to select a be and create a pipe to accept data;
3. all inserted values will be sent to the be and write into the pipe;
4. a thread will get the data from the pipe, then write them to disk;
5. commit will complete this transaction and make these data visible;
6. rollback will abort this transaction
```
### Some restrictions on the use of update syntax.
1. Only ```insert``` can be called in a transaction.
2. If something error happened, ```commit``` will not succeed, it will ```rollback``` directly;
3. By default, if part of insert in the transaction is invalid, ```commit``` will only insert the other correct data into the table.
4. If you need ```commit``` return failed when any insert in the transaction is invalid, you need execute ```set enable_insert_strict = true``` before ```begin```.
1. Use parallelStream to speed up tabletReport.
2. Add partitionIdInMemorySet to speed up tabletToInMemory check.
3. Add disable_storage_medium_check to disable storage medium check when user doesn't care what tablet's storage medium is, and remove enable_strict_storage_medium_check config to fix some potential migration task failures.
Co-authored-by: caiconghui <caiconghui@xiaomi.com>
At present, some constant expression calculations are implemented on the FE side,
but they are incomplete, and some expressions cannot be completely consistent with
the value calculated by BE (such as part of the time function)
Therefore, we provide a way to pass all the constants in SQL to BE for calculation,
and then begin to analyze and plan SQL. This method can also solve the problem that some
complex constant calculations issued by BI cannot be processed on the FE side.
Here through a session variable enable_fold_constant_by_be to control this function,
which is disabled by default.
1. /api/cluster_overview to view some statistic info of the cluster
2. /api/meta/ to view the database/table schema
3. /api/import/file_review to review the file content with format CSV or PARQUET.
When the config "enable_bdbje_debug_mode" of FE is set to true,
start FE and enter debug mode.
In this mode, only MySQL server and http server will be started.
After that, users can log in to Doris through the web front-end or MySQL client,
and then use "show proc "/bdbje"" to view the data in bdbje.
Co-authored-by: chenmingyu <chenmingyu@baidu.com>
1. [enhancement] add an indicator called errorRowsAfterResumed to distinguish between totalErrorRows(called errorRows) and errorRowsAfterResumed. (#6092)
2. [Refactor] separate some indicators from RoutineLoadJob class to avoid changing FeMetaVersion while modifying indicators of RoutineLoadJob.(#6092)
* Revert "[Optimize] Put _Tuple_ptrs into mempool when RowBatch is initialized (#6036)"
This reverts commit f254870aeb18752a786586ef5d7ccf952b97f895.
* [BUG][Timeout][QueryLeak] Fixed memory not released in time, Fix Core dump in bloomfilter
