Files
doris/be/src/vec/exprs/vexpr_context.cpp
HappenLee 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

138 lines
5.2 KiB
C++

// Licensed to the Apache Software Foundation (ASF) under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing,
// software distributed under the License is distributed on an
// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
// KIND, either express or implied. See the License for the
// specific language governing permissions and limitations
// under the License.
#include "vec/exprs/vexpr_context.h"
#include "udf/udf_internal.h"
#include "vec/exprs/vexpr.h"
namespace doris::vectorized {
VExprContext::VExprContext(VExpr* expr)
: _root(expr),
_is_clone(false),
_prepared(false),
_opened(false),
_closed(false),
_last_result_column_id(-1) {}
doris::Status VExprContext::execute(doris::vectorized::Block* block, int* result_column_id) {
Status st = _root->execute(this, block, result_column_id);
_last_result_column_id = *result_column_id;
return st;
}
doris::Status VExprContext::prepare(doris::RuntimeState* state,
const doris::RowDescriptor& row_desc,
const std::shared_ptr<doris::MemTracker>& tracker) {
_prepared = true;
_pool.reset(new MemPool(state->instance_mem_tracker().get()));
return _root->prepare(state, row_desc, this);
}
doris::Status VExprContext::open(doris::RuntimeState* state) {
DCHECK(_prepared);
if (_opened) {
return Status::OK();
}
_opened = true;
// Fragment-local state is only initialized for original contexts. Clones inherit the
// original's fragment state and only need to have thread-local state initialized.
FunctionContext::FunctionStateScope scope =
_is_clone ? FunctionContext::THREAD_LOCAL : FunctionContext::FRAGMENT_LOCAL;
return _root->open(state, this, scope);
}
void VExprContext::close(doris::RuntimeState* state) {
DCHECK(!_closed);
FunctionContext::FunctionStateScope scope =
_is_clone ? FunctionContext::THREAD_LOCAL : FunctionContext::FRAGMENT_LOCAL;
_root->close(state, this, scope);
for (int i = 0; i < _fn_contexts.size(); ++i) {
_fn_contexts[i]->impl()->close();
}
// _pool can be NULL if Prepare() was never called
if (_pool != NULL) {
_pool->free_all();
}
_closed = true;
}
doris::Status VExprContext::clone(RuntimeState* state, VExprContext** new_ctx) {
DCHECK(_prepared);
DCHECK(_opened);
DCHECK(*new_ctx == nullptr);
*new_ctx = state->obj_pool()->add(new VExprContext(_root));
(*new_ctx)->_pool.reset(new MemPool(_pool->mem_tracker()));
for (auto& _fn_context : _fn_contexts) {
(*new_ctx)->_fn_contexts.push_back(_fn_context->impl()->clone((*new_ctx)->_pool.get()));
}
(*new_ctx)->_is_clone = true;
(*new_ctx)->_prepared = true;
(*new_ctx)->_opened = true;
return _root->open(state, *new_ctx, FunctionContext::THREAD_LOCAL);
}
int VExprContext::register_func(RuntimeState* state, const FunctionContext::TypeDesc& return_type,
const std::vector<FunctionContext::TypeDesc>& arg_types,
int varargs_buffer_size) {
_fn_contexts.push_back(FunctionContextImpl::create_context(
state, _pool.get(), return_type, arg_types, varargs_buffer_size, false));
return _fn_contexts.size() - 1;
}
Status VExprContext::filter_block(VExprContext* vexpr_ctx, Block* block, int column_to_keep) {
if (vexpr_ctx == nullptr || block->rows() == 0) {
return Status::OK();
}
int result_column_id = -1;
vexpr_ctx->execute(block, &result_column_id);
return Block::filter_block(block, result_column_id, column_to_keep);
}
Status VExprContext::filter_block(const std::unique_ptr<VExprContext*>& vexpr_ctx_ptr, Block* block,
int column_to_keep) {
if (vexpr_ctx_ptr == nullptr || block->rows() == 0) {
return Status::OK();
}
DCHECK((*vexpr_ctx_ptr) != nullptr);
int result_column_id = -1;
(*vexpr_ctx_ptr)->execute(block, &result_column_id);
return Block::filter_block(block, result_column_id, column_to_keep);
}
Block VExprContext::get_output_block_after_execute_exprs(
const std::vector<vectorized::VExprContext*>& output_vexpr_ctxs, const Block& input_block,
Status& status) {
vectorized::Block tmp_block(input_block.get_columns_with_type_and_name());
vectorized::ColumnsWithTypeAndName result_columns;
for (auto vexpr_ctx : output_vexpr_ctxs) {
int result_column_id = -1;
status = vexpr_ctx->execute(&tmp_block, &result_column_id);
if (UNLIKELY(!status.ok())) return {};
DCHECK(result_column_id != -1);
result_columns.emplace_back(tmp_block.get_by_position(result_column_id));
}
return {result_columns};
}
} // namespace doris::vectorized