Commit Graph

25 Commits

Author SHA1 Message Date
f377c26bf7 [refactor][be] Optimize headers (#9708) 2022-05-30 16:12:10 +08:00
63aab5ee5d [Bugfix(Vec)] Fix some memory leak issues (#9824) 2022-05-29 23:04:11 +08:00
f4dd3bf013 [bugfix] fix memleak in olapscannode(#9736) 2022-05-26 15:06:54 +08:00
718a51a388 [refactor][style] Use clang-format to sort includes (#9483) 2022-05-10 21:25:35 +08:00
c9961c9bb9 [style] clang-format all c++ code (#9305)
- sh build-support/clang-format.sh  to  clang-format all c++ code
2022-04-29 16:14:22 +08:00
d330bc3806 [Vectorized](stream-load-vec) Support stream load in vectorized engine (#8709) (#9280)
Implement vectorized stream load.
Added fe configuration option `enable_vectorized_load` to enable vectorized stream load.

    Co-authored-by: tengjp@outlook.com
    Co-authored-by: mrhhsg@gmail.com
    Co-authored-by: minghong.zhou@163.com
    Co-authored-by: HappenLee <happenlee@hotmail.com>
    Co-authored-by: zhoubintao <35688959+zbtzbtzbt@users.noreply.github.com>
2022-04-29 09:50:51 +08:00
Pxl
2d83167e50 [Feature] [Lateral-View] support outer combinator of table function (#9147) 2022-04-24 12:09:40 +08:00
ae680b4248 [UDF] support RPC udaf part 1: support create RPC udaf in fe (#8510) 2022-04-21 17:38:58 +08:00
c5718928df [feature-wip](array-type) support explode and explode_outer table function (#8766)
explode(ArrayColumn) desc:
> Create a row for each element in the array column. 

explode_outer(ArrayColumn) desc:
> Create a row for each element in the array column. Unlike explode, if the array is null or empty, it returns null.

Usage example:
1. create a table with array column, and insert some data;
2. open enable_lateral_view and enable_vectorized_engine;
```
set enable_lateral_view = true;
set enable_vectorized_engine=true;
```
3. use explode_outer
```
> select * from array_test;
+------+------+--------+
| k1   | k2   | k3     |
+------+------+--------+
|    3 | NULL | NULL   |
|    1 |    2 | [1, 2] |
|    2 |    3 | NULL   |
|    4 | NULL | []     |
+------+------+--------+

> select k1,explode_column from array_test LATERAL VIEW explode_outer(k3) TempExplodeView as explode_column;
+------+----------------+
| k1   | explode_column |
+------+----------------+
|    1 |              1 |
|    1 |              2 |
|    2 |           NULL |
|    4 |           NULL |
|    3 |           NULL |
+------+----------------+
```
4. explode usage example. explode return empty rows while the ARRAY is null or empty
```
> select k1,explode_column from array_test LATERAL VIEW explode(k3) TempExplodeView as explode_column;
+------+----------------+
| k1   | explode_column |
+------+----------------+
|    1 |              1 |
|    1 |              2 |
+------+----------------+
```
2022-04-08 12:11:04 +08:00
Pxl
dbbc6549bd [feature](vectorized) support vexplode_bitmap (#8890) 2022-04-08 09:20:26 +08:00
519305cb22 [feature-wip] (memory tracker) (step4) Switch TLS mem tracker to separate more detailed memory usage (#8669)
Based on #8605, Separate out the memory usage of each operator from the Query/Load/StorageEngine mem tracker.
2022-04-08 09:02:26 +08:00
6b0a642390 [feature][vectorized] Support explode json array func #8526 (#8539) 2022-04-03 10:06:47 +08:00
b89e4c7bba [feature-wip](java-udf) support java UDF with fixed-length input and output (#8516)
This feature is propsoed in [DSIP-1](https://cwiki.apache.org/confluence/display/DORIS/DSIP-001%3A+Java+UDF). 
This PR support fixed-length input and output Java UDF. Phase I in DIP-1 is done after this PR.

To support Java UDF effeciently, I use no data copy in JNI call and all compute operations are off-heap in Java.
To achieve that, I use a UdfExecutor instead. 

For users, a UDF class must have a public evaluate method.
2022-03-23 10:32:50 +08:00
2580da4f72 [feature-wip](array-type) Support insertion for vectorized engine. (#8494) (#8590)
Please refer to #8493
2022-03-22 15:48:13 +08:00
a498463ab5 [feature-wip](array-type)support select ARRAY data type on vectorized engine (#8217) (#8584)
Usage Example:
1. create table for test;
```
`CREATE TABLE `array_test` (
  `k1` tinyint(4) NOT NULL COMMENT "",
  `k2` smallint(6) NULL COMMENT "",
  `k3` ARRAY<int(11)> NULL COMMENT ""
) ENGINE=OLAP
DUPLICATE KEY(`k1`)
COMMENT "OLAP"
DISTRIBUTED BY HASH(`k1`) BUCKETS 5
PROPERTIES (
"replication_allocation" = "tag.location.default: 1",
"in_memory" = "false",
"storage_format" = "V2"
);`
```

2. insert some data
```
`insert into array_test values(1, 2, [1, 2]);`
`insert into array_test values(2, 3, null);`
`insert into array_test values(3, null, null);`
`insert into array_test values(4, null, []);`
```

3. open vectorized
`set enable_vectorized_engine=true;`

4. query array data
`select * from array_test;`
+------+------+--------+
| k1   | k2   | k3     |
+------+------+--------+
|    4 | NULL | []     |
|    2 |    3 | NULL   |
|    1 |    2 | [1, 2] |
|    3 | NULL | NULL   |
+------+------+--------+
4 rows in set (0.061 sec)

Code Changes include:
1. add column_array, data_type_array codes;
2. codes about data_type creation by Field, TabletColumn, TypeDescriptor, PColumnMeta move to DataTypeFactory;
3. support create data_type for ARRAY date type;
4. RowBlockV2::convert_to_vec_block support ARRAY date type;
5. VMysqlResultWriter::append_block support ARRAY date type;
6. vectorized::Block serialize and deserialize support ARRAY date type;
2022-03-22 15:21:44 +08:00
Pxl
be3d203289 [feature][vectorized] support table function explode_numbers() (#8509) 2022-03-22 11:38:00 +08:00
eeae516e37 [Feature](Memory) Hook TCMalloc new/delete automatically counts to MemTracker (#8476)
Early Design Documentation: https://shimo.im/docs/DT6JXDRkdTvdyV3G

Implement a new way of memory statistics based on TCMalloc New/Delete Hook,
MemTracker and TLS, and it is expected that all memory new/delete/malloc/free
of the BE process can be counted.
2022-03-20 23:06:54 +08:00
Pxl
a824c3e489 [feature](vectorized) support lateral view (#8448) 2022-03-17 10:04:24 +08:00
2c63fc1d6c [improvement](vectorized) Support BetweenPredicate enable fold const expr (#8450) 2022-03-13 09:36:24 +08:00
68dd799796 [improvement](vectorized) Support function tuple is null (#8442) 2022-03-11 16:54:37 +08:00
50864aca7d [refactor] fix warings when compile with clang (#8069) 2022-02-19 11:29:02 +08:00
Pxl
e0dbf48682 [Vectorized] [AggFunction] Support group_concat (#8086) 2022-02-17 14:19:07 +08:00
f8d086d87f [feature](rpc) (experimental)Support implement UDF through GRPC protocol. (#7519)
Support implement UDF through GRPC protocol. This brings several benefits: 
1. The udf implementation language is not limited to c++, users can use any familiar language to implement udf
2. UDF is decoupled from Doris, udf will not cause doris coredump, udf computing resources are separated from doris, and doris services are not affected

But RPC's UDF has a fixed overhead, so its performance is much slower than C++ UDF, especially when the amount of data is large.

Create function like

```
CREATE FUNCTION rpc_add(INT, INT) RETURNS INT PROPERTIES (
  "SYMBOL"="add_int",
  "OBJECT_FILE"="127.0.0.1:9999",
  "TYPE"="RPC"
);
```
Function service need to implement `check_fn` and `fn_call` methods
Note:
THIS IS AN EXPERIMENTAL FEATURE, THE INTERFACE AND DATA STRUCTURE MAY BE CHANGED IN FUTURE !!!
2022-02-08 09:25:09 +08:00
071be928f9 [fix](vectorized) fix bug multi distinct function get wrong type (#7900) 2022-01-28 22:31:41 +08:00
e1d7233e9c [feature](vectorization) Support Vectorized Exec Engine In Doris (#7785)
# Proposed changes

Issue Number: close #6238

    Co-authored-by: HappenLee <happenlee@hotmail.com>
    Co-authored-by: stdpain <34912776+stdpain@users.noreply.github.com>
    Co-authored-by: Zhengguo Yang <yangzhgg@gmail.com>
    Co-authored-by: wangbo <506340561@qq.com>
    Co-authored-by: emmymiao87 <522274284@qq.com>
    Co-authored-by: Pxl <952130278@qq.com>
    Co-authored-by: zhangstar333 <87313068+zhangstar333@users.noreply.github.com>
    Co-authored-by: thinker <zchw100@qq.com>
    Co-authored-by: Zeno Yang <1521564989@qq.com>
    Co-authored-by: Wang Shuo <wangshuo128@gmail.com>
    Co-authored-by: zhoubintao <35688959+zbtzbtzbt@users.noreply.github.com>
    Co-authored-by: Gabriel <gabrielleebuaa@gmail.com>
    Co-authored-by: xinghuayu007 <1450306854@qq.com>
    Co-authored-by: weizuo93 <weizuo@apache.org>
    Co-authored-by: yiguolei <guoleiyi@tencent.com>
    Co-authored-by: anneji-dev <85534151+anneji-dev@users.noreply.github.com>
    Co-authored-by: awakeljw <993007281@qq.com>
    Co-authored-by: taberylyang <95272637+taberylyang@users.noreply.github.com>
    Co-authored-by: Cui Kaifeng <48012748+azurenake@users.noreply.github.com>


## Problem Summary:

### 1. Some code from clickhouse

**ClickHouse is an excellent implementation of the vectorized execution engine database,
so here we have referenced and learned a lot from its excellent implementation in terms of
data structure and function implementation.
We are based on ClickHouse v19.16.2.2 and would like to thank the ClickHouse community and developers.**

The following comment has been added to the code from Clickhouse, eg:
// This file is copied from
// https://github.com/ClickHouse/ClickHouse/blob/master/src/Interpreters/AggregationCommon.h
// and modified by Doris

### 2. Support exec node and query:
* vaggregation_node
* vanalytic_eval_node
* vassert_num_rows_node
* vblocking_join_node
* vcross_join_node
* vempty_set_node
* ves_http_scan_node
* vexcept_node
* vexchange_node
* vintersect_node
* vmysql_scan_node
* vodbc_scan_node
* volap_scan_node
* vrepeat_node
* vschema_scan_node
* vselect_node
* vset_operation_node
* vsort_node
* vunion_node
* vhash_join_node

You can run exec engine of SSB/TPCH and 70% TPCDS stand query test set.

### 3. Data Model

Vec Exec Engine Support **Dup/Agg/Unq** table, Support Block Reader Vectorized.
Segment Vec is working in process.

### 4. How to use

1. Set the environment variable `set enable_vectorized_engine = true; `(required)
2. Set the environment variable `set batch_size = 4096; ` (recommended)

### 5. Some diff from origin exec engine

https://github.com/doris-vectorized/doris-vectorized/issues/294

## Checklist(Required)

1. Does it affect the original behavior: (No)
2. Has unit tests been added: (Yes)
3. Has document been added or modified: (No)
4. Does it need to update dependencies: (No)
5. Are there any changes that cannot be rolled back: (Yes)
2022-01-18 10:07:15 +08:00