Commit Graph

9 Commits

Author SHA1 Message Date
b41eaa5ac0 [fix](memtracker) Introduce orphan mem tracker to verify memory tracking accuracy (#12794)
The mem hook consumes the orphan tracker by default. If the thread does not attach other trackers, by default all consumption will be passed to the process tracker through the orphan tracker.

In real time, consumption of all other trackers + orphan tracker consumption = process tracker consumption.

Ideally, all threads are expected to attach to the specified tracker, so that "all memory has its own ownership", and the consumption of the orphan mem tracker is close to 0, but greater than 0.
2022-09-21 15:47:10 +08:00
f72d2559cf [fix](compile) Fix compile error '<unknown>' may be used uninitialized in PODArray::insert_prepare #12202 2022-08-31 09:12:28 +08:00
8370115cf6 [enhancement](memtracker) Improve performance of tracking real physical memory of PODArray #12168 2022-08-30 10:22:12 +08:00
1304a17600 [fix](memtracker) Improve performance of tracking real physical memory of PodArray #12021 2022-08-24 14:24:14 +08:00
2a1803c646 [enhancement](memtracker) Optimize query memory accuracy (#11740)
Currently, only the virtual memory used by the query can be tracked through the tcmalloc hook. When the memory is not fully used after the application, the recorded virtual memory will be larger than the physical memory.

At present, it is mainly because PODArray does not memset 0 when applying for memory, and blocks applied for through PODArray in places such as VOlapScanNode::_free_blocks are usually used for memory reuse and cannot be fully used.
2022-08-16 14:23:28 +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
358bd79fb1 [improvement](vec)(Join) Mem reuse to speed up join operator (#7905)
1. Reuse the mem of output block in vec join node
2. Add the function `replicate` in column
2022-01-31 22:14:12 +08:00
1ba20b1dbb [improvement](storage) improving Column inserter (#7855)
* optimize Column inserter

* DCHECK

* DCHECK

Co-authored-by: zuochunwei <zuochunwei@meituan.com>
2022-01-27 14:18:15 +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