Commit Graph

13 Commits

Author SHA1 Message Date
9e960f4c4f [chore](build) Use include-what-you-use to optimize includes (#18681)
Currently, there are some useless includes in the codebase. We can use a tool named include-what-you-use to optimize these includes. By using a strict include-what-you-use policy, we can get lots of benefits from it.
2023-04-17 11:44:58 +08:00
d9fe5f7b67 [enhancement](memory) Remove MemPool and replace it with Arena (#17820)
Arena can replace MemPool in most scenarios. Except for memory reuse, MemPool supports reuse of previous memory chunks after clear, but Arena does not.

Some comparisons between MemPool and Arena:

 1. Expansion
     Arena is less than 128M index 2 alloc chunk; more than 128M memory, allocate 128M * n > `size`, n is equal to the minimum value that satisfies the expression;
     MemPool less than 512K index 2 alloc chunk, greater than 512K memory, separately apply for a `size` length chunk
     
     After Arena applied for a chunk larger than 128M last time, the minimum chunk applied for after that is 128M. Does this seem to be a waste of memory? MemPool is also similar. After the chunk of 512K was applied for last time, the minimum chunk of subsequent applications is 512K.

 2. Alignment
     MemPool defaults to 16 alignment, because memtable and other places that use int128 require 16 alignment;
     Arena has no default alignment;

 3. Memory reuse
     Arena only supports `rollback`, which reuses the memory of the current chunk, usually the memory requested last time.
     MemPool supports clear(), all chunks can be reused; or call ReturnPartialAllocation() to roll back the last requested memory; if the last chunk has no memory, search for the most free chunk for allocation

 4. Realloc
     Arena supports realloc contiguous memory; it also supports realloc contiguous memory from any position at the time of the last allocation. The difference between `alloc_continue` and `realloc` is:
         1. Alloc_continue does not need to specify the old size, but the default old size = head->pos - range_start
         2. alloc_continue supports expansion from range_start when additional_bytes is between head and pos, which is equivalent to reusing a part of memory, while realloc completely allocates a new memory
     MemPool does not support realloc, but supports transferring or absorbing chunks between two MemPools

 5. check mem limit
     MemPool checks the mem limit, and Arena checks at the Allocator layer.

 6. Support for ASAN
     Arena does something extra

 7. Error handling
     MemPool supports returning the error message of application failure directly through `Status`, and Arena throws Exception.
Tests that Arena can consider

 1. After the last applied chunk is larger than 128M, the minimum applied chunk is 128M, which seems to waste memory;

 2. Support clear, memory multiplexing;

 3. Increase the large list, alloc the memory larger than 128M, and the size is equal to `size`, so as to avoid the current chunk not being fully used, which is wasteful.

 4. In some cases, it may be possible to allocate backwards to find chunks t
2023-03-29 20:56:49 +08:00
90b12143a3 [refactor](remove unused code) remove runtime tuple structure and useless utils class (#16237) 2023-01-30 16:45:14 +08:00
4b6a4b3cf7 [refactor](remove unused code) Remove unused mempool declare or function params (#16222)
* Remove unused mempool declare or function params

---------

Co-authored-by: yiguolei <yiguolei@gmail.com>
2023-01-30 13:03:18 +08:00
199d7d3be8 [Refactor]Merged string_value into string_ref (#15925) 2023-01-22 16:39:23 +08:00
20634ab7e3 [feature-wip](multi-catalog) support partition&missing columns in parquet lazy read (#14264)
PR https://github.com/apache/doris/pull/13917 has supported lazy read for non-predicate columns in ParquetReader, 
but can't trigger lazy read when predicate columns are partition or missing columns.
This PR support such case, and fill partition and missing columns in `FileReader`.
2022-11-16 08:43:11 +08:00
Pxl
fd0bd395ac [Enhancement] Remove some unused include (#10035) 2022-06-17 10:47:25 +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
6fedf5881b [CodeFormat] Clang-format cpp sources (#4965)
Clang-format all c++ source files.
2020-11-28 18:36:49 +08:00
dc2d49fe07 Make StringValue's memory layout same with Slice (#1712)
In our storage engine's code, we cast StringValue to Slice. Because
their memory layout is different, it may cause BE process crash.

We make their memory layout same in this patch to resolve this problem
temporary. We should improve it some day.
2019-08-27 22:15:46 +08:00
37b4cafe87 Change variable and namespace name in BE (#268)
Change 'palo' to 'doris'
2018-11-02 10:22:32 +08:00
2868793b6b Change license to Apache License 2.0 (#262) 2018-11-01 09:06:01 +08:00
e2311f656e baidu palo 2017-08-11 17:51:21 +08:00