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