164 lines
6.5 KiB
C++
164 lines
6.5 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/vectorized_fn_call.h"
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#include <string_view>
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#include "common/consts.h"
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#include "common/status.h"
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#include "exprs/anyval_util.h"
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#include "exprs/rpc_fn.h"
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#include "fmt/format.h"
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#include "fmt/ranges.h"
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#include "udf/udf_internal.h"
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#include "vec/data_types/data_type_nullable.h"
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#include "vec/data_types/data_type_number.h"
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#include "vec/functions/function_java_udf.h"
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#include "vec/functions/function_rpc.h"
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#include "vec/functions/simple_function_factory.h"
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namespace doris::vectorized {
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VectorizedFnCall::VectorizedFnCall(const doris::TExprNode& node) : VExpr(node) {}
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doris::Status VectorizedFnCall::prepare(doris::RuntimeState* state,
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const doris::RowDescriptor& desc, VExprContext* context) {
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RETURN_IF_ERROR_OR_PREPARED(VExpr::prepare(state, desc, context));
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ColumnsWithTypeAndName argument_template;
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argument_template.reserve(_children.size());
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std::vector<std::string_view> child_expr_name;
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for (auto child : _children) {
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auto column = child->data_type()->create_column();
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argument_template.emplace_back(std::move(column), child->data_type(), child->expr_name());
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child_expr_name.emplace_back(child->expr_name());
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}
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if (_fn.binary_type == TFunctionBinaryType::RPC) {
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_function = FunctionRPC::create(_fn, argument_template, _data_type);
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} else if (_fn.binary_type == TFunctionBinaryType::JAVA_UDF) {
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if (config::enable_java_support) {
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_function = JavaFunctionCall::create(_fn, argument_template, _data_type);
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} else {
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return Status::InternalError(
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"Java UDF is not enabled, you can change be config enable_java_support to true "
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"and restart be.");
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}
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} else {
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_function = SimpleFunctionFactory::instance().get_function(_fn.name.function_name,
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argument_template, _data_type);
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}
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if (_function == nullptr) {
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return Status::InternalError("Function {} is not implemented", _fn.name.function_name);
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}
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VExpr::register_function_context(state, context);
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_expr_name = fmt::format("{}({})", _fn.name.function_name, child_expr_name);
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return Status::OK();
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}
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doris::Status VectorizedFnCall::open(doris::RuntimeState* state, VExprContext* context,
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FunctionContext::FunctionStateScope scope) {
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RETURN_IF_ERROR(VExpr::open(state, context, scope));
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RETURN_IF_ERROR(VExpr::init_function_context(context, scope, _function));
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return Status::OK();
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}
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void VectorizedFnCall::close(doris::RuntimeState* state, VExprContext* context,
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FunctionContext::FunctionStateScope scope) {
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VExpr::close_function_context(context, scope, _function);
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VExpr::close(state, context, scope);
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}
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doris::Status VectorizedFnCall::execute(VExprContext* context, doris::vectorized::Block* block,
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int* result_column_id) {
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// TODO: not execute const expr again, but use the const column in function context
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doris::vectorized::ColumnNumbers arguments(_children.size());
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for (int i = 0; i < _children.size(); ++i) {
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int column_id = -1;
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RETURN_IF_ERROR(_children[i]->execute(context, block, &column_id));
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arguments[i] = column_id;
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}
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// call function
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size_t num_columns_without_result = block->columns();
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// prepare a column to save result
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block->insert({nullptr, _data_type, _expr_name});
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if (_function->can_fast_execute()) {
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bool ok = fast_execute(context->fn_context(_fn_context_index), *block, arguments,
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num_columns_without_result, block->rows());
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if (ok) {
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*result_column_id = num_columns_without_result;
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return Status::OK();
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}
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}
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RETURN_IF_ERROR(_function->execute(context->fn_context(_fn_context_index), *block, arguments,
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num_columns_without_result, block->rows(), false));
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*result_column_id = num_columns_without_result;
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return Status::OK();
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}
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// fast_execute can direct copy expr filter result which build by apply index in segment_iterator
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bool VectorizedFnCall::fast_execute(FunctionContext* context, Block& block,
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const ColumnNumbers& arguments, size_t result,
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size_t input_rows_count) {
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auto query_value = block.get_by_position(arguments[1]).to_string(0);
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std::string column_name = block.get_by_position(arguments[0]).name;
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auto result_column_name = BeConsts::BLOCK_TEMP_COLUMN_PREFIX + column_name + "_" +
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_function->get_name() + "_" + query_value;
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if (!block.has(result_column_name)) {
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return false;
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}
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auto result_column =
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block.get_by_name(result_column_name).column->convert_to_full_column_if_const();
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block.replace_by_position(result, std::move(result_column));
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return true;
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}
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const std::string& VectorizedFnCall::expr_name() const {
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return _expr_name;
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}
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std::string VectorizedFnCall::debug_string() const {
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std::stringstream out;
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out << "VectorizedFn[";
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out << _expr_name;
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out << "]{";
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bool first = true;
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for (VExpr* input_expr : children()) {
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if (first) {
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first = false;
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} else {
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out << ",";
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}
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out << "\n" << input_expr->debug_string();
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}
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out << "}";
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return out.str();
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}
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std::string VectorizedFnCall::debug_string(const std::vector<VectorizedFnCall*>& agg_fns) {
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std::stringstream out;
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out << "[";
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for (int i = 0; i < agg_fns.size(); ++i) {
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out << (i == 0 ? "" : " ") << agg_fns[i]->debug_string();
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}
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out << "]";
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return out.str();
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}
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} // namespace doris::vectorized
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