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liuneng1994
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| /* | ||
| * 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. | ||
| */ | ||
|
|
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| #include "LocalExecutor.h" | ||
|
|
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| #include <Common/QueryContext.h> | ||
| #include <QueryPipeline/printPipeline.h> | ||
| #include <Processors/Executors/PipelineExecutor.h> | ||
| #include <Core/Settings.h> | ||
|
|
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| #include "SerializedPlanParser.h" | ||
|
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| using namespace DB; | ||
| namespace local_engine | ||
| { | ||
|
|
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| LocalExecutor::~LocalExecutor() | ||
| { | ||
| if (dump_pipeline) | ||
| LOG_INFO(&Poco::Logger::get("LocalExecutor"), "Dump pipeline:\n{}", dumpPipeline()); | ||
|
|
||
| if (spark_buffer) | ||
| { | ||
| ch_column_to_spark_row->freeMem(spark_buffer->address, spark_buffer->size); | ||
| spark_buffer.reset(); | ||
| } | ||
| } | ||
|
|
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| std::unique_ptr<SparkRowInfo> LocalExecutor::writeBlockToSparkRow(const Block & block) const | ||
| { | ||
| return ch_column_to_spark_row->convertCHColumnToSparkRow(block); | ||
| } | ||
|
|
||
| void LocalExecutor::initPullingPipelineExecutor() | ||
| { | ||
| if (!executor) | ||
| { | ||
| query_pipeline = QueryPipelineBuilder::getPipeline(std::move(*query_pipeline_builder)); | ||
| query_pipeline.setNumThreads(1); | ||
| executor = std::make_unique<PullingAsyncPipelineExecutor>(query_pipeline); | ||
| } | ||
| } | ||
|
|
||
| bool LocalExecutor::hasNext() | ||
| { | ||
| initPullingPipelineExecutor(); | ||
| size_t columns = currentBlock().columns(); | ||
| if (columns == 0 || isConsumed()) | ||
| { | ||
| auto empty_block = header.cloneEmpty(); | ||
| setCurrentBlock(empty_block); | ||
| bool has_next = executor->pull(currentBlock()); | ||
| produce(); | ||
| return has_next; | ||
| } | ||
| return true; | ||
| } | ||
|
|
||
| bool LocalExecutor::fallbackMode() | ||
| { | ||
| if (executor.get() || fallback_mode) | ||
| std::cerr << fmt::format("executor {} in fallback mode\n", reinterpret_cast<long>(this)); | ||
| else | ||
| std::cerr << fmt::format("executor {} not in fallback mode\n", reinterpret_cast<long>(this)); | ||
| return executor.get() || fallback_mode; | ||
| } | ||
|
|
||
| SparkRowInfoPtr LocalExecutor::next() | ||
| { | ||
| checkNextValid(); | ||
| SparkRowInfoPtr row_info = writeBlockToSparkRow(currentBlock()); | ||
| consume(); | ||
| if (spark_buffer) | ||
| { | ||
| ch_column_to_spark_row->freeMem(spark_buffer->address, spark_buffer->size); | ||
| spark_buffer.reset(); | ||
| } | ||
| spark_buffer = std::make_unique<SparkBuffer>(); | ||
| spark_buffer->address = row_info->getBufferAddress(); | ||
| spark_buffer->size = row_info->getTotalBytes(); | ||
| std::cerr << "call next\n"; | ||
| return row_info; | ||
| } | ||
| Block * LocalExecutor::nextColumnar() | ||
| { | ||
| checkNextValid(); | ||
| Block * columnar_batch; | ||
| if (currentBlock().columns() > 0) | ||
| { | ||
| columnar_batch = ¤tBlock(); | ||
| } | ||
| else | ||
| { | ||
| auto empty_block = header.cloneEmpty(); | ||
| setCurrentBlock(empty_block); | ||
| columnar_batch = ¤tBlock(); | ||
| } | ||
| consume(); | ||
| return columnar_batch; | ||
| } | ||
|
|
||
| void LocalExecutor::cancel() | ||
| { | ||
| if (executor) | ||
| executor->cancel(); | ||
| if (push_executor) | ||
| push_executor->cancel(); | ||
| } | ||
|
|
||
| void LocalExecutor::setSinks(std::function<void(DB::QueryPipelineBuilder &)> setter) | ||
| { | ||
| setter(*query_pipeline_builder); | ||
| } | ||
|
|
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| void LocalExecutor::setExternalPipelineBuilder(DB::QueryPipelineBuilderPtr builder) | ||
| { | ||
| external_pipeline_builder = std::move(builder); | ||
| } | ||
|
|
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| void LocalExecutor::execute() | ||
| { | ||
| chassert(query_pipeline_builder || external_pipeline_builder); | ||
| if (external_pipeline_builder) | ||
| push_executor = external_pipeline_builder->execute(); | ||
| else | ||
| push_executor = query_pipeline_builder->execute(); | ||
| push_executor->execute(local_engine::QueryContextManager::instance().currentQueryContext()->getSettingsRef().max_threads, false); | ||
| } | ||
|
|
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| Block LocalExecutor::getHeader() | ||
| { | ||
| return header; | ||
| } | ||
|
|
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| LocalExecutor::LocalExecutor(QueryPlanPtr query_plan, QueryPipelineBuilderPtr pipeline_builder, bool dump_pipeline_) | ||
| : query_pipeline_builder(std::move(pipeline_builder)) | ||
| , header(query_plan->getCurrentDataStream().header.cloneEmpty()) | ||
| , dump_pipeline(dump_pipeline_) | ||
| , ch_column_to_spark_row(std::make_unique<CHColumnToSparkRow>()) | ||
| , current_query_plan(std::move(query_plan)) | ||
| { | ||
| if (current_executor) | ||
| { | ||
| fallback_mode = true; | ||
| } | ||
| // only need record last executor | ||
| current_executor = this; | ||
| } | ||
| thread_local LocalExecutor * LocalExecutor::current_executor = nullptr; | ||
| std::string LocalExecutor::dumpPipeline() const | ||
| { | ||
| const auto & processors = query_pipeline.getProcessors(); | ||
| for (auto & processor : processors) | ||
| { | ||
| WriteBufferFromOwnString buffer; | ||
| auto data_stats = processor->getProcessorDataStats(); | ||
| buffer << "("; | ||
| buffer << "\nexecution time: " << processor->getElapsedNs() / 1000U << " us."; | ||
| buffer << "\ninput wait time: " << processor->getInputWaitElapsedNs() / 1000U << " us."; | ||
| buffer << "\noutput wait time: " << processor->getOutputWaitElapsedNs() / 1000U << " us."; | ||
| buffer << "\ninput rows: " << data_stats.input_rows; | ||
| buffer << "\ninput bytes: " << data_stats.input_bytes; | ||
| buffer << "\noutput rows: " << data_stats.output_rows; | ||
| buffer << "\noutput bytes: " << data_stats.output_bytes; | ||
| buffer << ")"; | ||
| processor->setDescription(buffer.str()); | ||
| } | ||
| WriteBufferFromOwnString out; | ||
| DB::printPipeline(processors, out); | ||
| return out.str(); | ||
| } | ||
| } |
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