| 1 | #include <Processors/Transforms/MergingAggregatedMemoryEfficientTransform.h> | 
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| 2 |  | 
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| 3 | #include <Processors/ISimpleTransform.h> | 
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| 4 | #include <Interpreters/Aggregator.h> | 
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| 5 | #include <Processors/ResizeProcessor.h> | 
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| 6 |  | 
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| 7 | namespace DB | 
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| 8 | { | 
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| 9 |  | 
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| 10 | struct ChunksToMerge : public ChunkInfo | 
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| 11 | { | 
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| 12 | std::unique_ptr<Chunks> chunks; | 
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| 13 | Int32 bucket_num = -1; | 
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| 14 | bool is_overflows = false; | 
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| 15 | }; | 
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| 16 |  | 
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| 17 | GroupingAggregatedTransform::GroupingAggregatedTransform( | 
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| 18 | const Block & , size_t num_inputs_, AggregatingTransformParamsPtr params_) | 
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| 19 | : IProcessor(InputPorts(num_inputs_, header_), { Block() }) | 
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| 20 | , num_inputs(num_inputs_) | 
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| 21 | , params(std::move(params_)) | 
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| 22 | , last_bucket_number(num_inputs, -1) | 
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| 23 | , read_from_input(num_inputs, false) | 
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| 24 | { | 
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| 25 | } | 
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| 26 |  | 
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| 27 | void GroupingAggregatedTransform::readFromAllInputs() | 
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| 28 | { | 
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| 29 | auto in = inputs.begin(); | 
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| 30 | for (size_t i = 0; i < num_inputs; ++i, ++in) | 
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| 31 | { | 
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| 32 | if (in->isFinished()) | 
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| 33 | continue; | 
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| 34 |  | 
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| 35 | if (read_from_input[i]) | 
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| 36 | continue; | 
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| 37 |  | 
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| 38 | in->setNeeded(); | 
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| 39 |  | 
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| 40 | if (!in->hasData()) | 
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| 41 | return; | 
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| 42 |  | 
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| 43 | auto chunk = in->pull(); | 
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| 44 | read_from_input[i] = true; | 
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| 45 | addChunk(std::move(chunk), i); | 
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| 46 | } | 
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| 47 |  | 
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| 48 | read_from_all_inputs = true; | 
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| 49 | } | 
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| 50 |  | 
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| 51 | void GroupingAggregatedTransform::pushData(Chunks chunks, Int32 bucket, bool is_overflows) | 
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| 52 | { | 
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| 53 | auto & output = outputs.front(); | 
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| 54 |  | 
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| 55 | auto info = std::make_shared<ChunksToMerge>(); | 
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| 56 | info->bucket_num = bucket; | 
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| 57 | info->is_overflows = is_overflows; | 
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| 58 | info->chunks = std::make_unique<Chunks>(std::move(chunks)); | 
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| 59 |  | 
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| 60 | Chunk chunk; | 
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| 61 | chunk.setChunkInfo(std::move(info)); | 
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| 62 | output.push(std::move(chunk)); | 
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| 63 | } | 
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| 64 |  | 
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| 65 | bool GroupingAggregatedTransform::tryPushTwoLevelData() | 
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| 66 | { | 
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| 67 | auto try_push_by_iter = [&](auto batch_it) | 
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| 68 | { | 
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| 69 | if (batch_it == chunks_map.end()) | 
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| 70 | return false; | 
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| 71 |  | 
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| 72 | Chunks & cur_chunks = batch_it->second; | 
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| 73 | if (cur_chunks.empty()) | 
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| 74 | { | 
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| 75 | chunks_map.erase(batch_it); | 
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| 76 | return false; | 
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| 77 | } | 
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| 78 |  | 
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| 79 | pushData(std::move(cur_chunks), batch_it->first, false); | 
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| 80 | chunks_map.erase(batch_it); | 
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| 81 | return true; | 
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| 82 | }; | 
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| 83 |  | 
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| 84 | if (all_inputs_finished) | 
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| 85 | { | 
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| 86 | /// Chunks are sorted by bucket. | 
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| 87 | while (!chunks_map.empty()) | 
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| 88 | if (try_push_by_iter(chunks_map.begin())) | 
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| 89 | return true; | 
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| 90 | } | 
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| 91 | else | 
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| 92 | { | 
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| 93 | for (; next_bucket_to_push < current_bucket; ++next_bucket_to_push) | 
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| 94 | if (try_push_by_iter(chunks_map.find(next_bucket_to_push))) | 
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| 95 | return true; | 
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| 96 | } | 
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| 97 |  | 
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| 98 | return false; | 
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| 99 | } | 
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| 100 |  | 
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| 101 | bool GroupingAggregatedTransform::tryPushSingleLevelData() | 
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| 102 | { | 
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| 103 | if (single_level_chunks.empty()) | 
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| 104 | return false; | 
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| 105 |  | 
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| 106 | pushData(std::move(single_level_chunks), -1, false); | 
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| 107 | return true; | 
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| 108 | } | 
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| 109 |  | 
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| 110 | bool GroupingAggregatedTransform::tryPushOverflowData() | 
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| 111 | { | 
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| 112 | if (overflow_chunks.empty()) | 
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| 113 | return false; | 
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| 114 |  | 
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| 115 | pushData(std::move(overflow_chunks), -1, true); | 
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| 116 | return true; | 
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| 117 | } | 
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| 118 |  | 
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| 119 | IProcessor::Status GroupingAggregatedTransform::prepare() | 
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| 120 | { | 
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| 121 | /// Check can output. | 
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| 122 | auto & output = outputs.front(); | 
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| 123 |  | 
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| 124 | if (output.isFinished()) | 
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| 125 | { | 
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| 126 | for (auto & input : inputs) | 
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| 127 | input.close(); | 
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| 128 |  | 
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| 129 | chunks_map.clear(); | 
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| 130 | last_bucket_number.clear(); | 
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| 131 | return Status::Finished; | 
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| 132 | } | 
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| 133 |  | 
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| 134 | /// Read first time from each input to understand if we have two-level aggregation. | 
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| 135 | if (!read_from_all_inputs) | 
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| 136 | { | 
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| 137 | readFromAllInputs(); | 
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| 138 | if (!read_from_all_inputs) | 
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| 139 | return Status::NeedData; | 
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| 140 | } | 
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| 141 |  | 
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| 142 | /// Convert single level to two levels if have two-level input. | 
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| 143 | if (has_two_level && !single_level_chunks.empty()) | 
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| 144 | return Status::Ready; | 
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| 145 |  | 
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| 146 | /// Check can push (to avoid data caching). | 
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| 147 | if (!output.canPush()) | 
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| 148 | { | 
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| 149 | for (auto & input : inputs) | 
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| 150 | input.setNotNeeded(); | 
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| 151 |  | 
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| 152 | return Status::PortFull; | 
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| 153 | } | 
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| 154 |  | 
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| 155 | bool pushed_to_output = false; | 
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| 156 |  | 
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| 157 | /// Output if has data. | 
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| 158 | if (has_two_level) | 
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| 159 | pushed_to_output = tryPushTwoLevelData(); | 
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| 160 |  | 
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| 161 | auto need_input = [this](size_t input_num) | 
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| 162 | { | 
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| 163 | if (last_bucket_number[input_num] < current_bucket) | 
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| 164 | return true; | 
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| 165 |  | 
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| 166 | return expect_several_chunks_for_single_bucket_per_source && last_bucket_number[input_num] == current_bucket; | 
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| 167 | }; | 
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| 168 |  | 
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| 169 | /// Read next bucket if can. | 
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| 170 | for (; ; ++current_bucket) | 
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| 171 | { | 
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| 172 | bool finished = true; | 
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| 173 | bool need_data = false; | 
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| 174 |  | 
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| 175 | auto in = inputs.begin(); | 
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| 176 | for (size_t input_num = 0; input_num < num_inputs; ++input_num, ++in) | 
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| 177 | { | 
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| 178 | if (in->isFinished()) | 
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| 179 | continue; | 
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| 180 |  | 
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| 181 | finished = false; | 
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| 182 |  | 
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| 183 | if (!need_input(input_num)) | 
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| 184 | continue; | 
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| 185 |  | 
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| 186 | in->setNeeded(); | 
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| 187 |  | 
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| 188 | if (!in->hasData()) | 
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| 189 | { | 
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| 190 | need_data = true; | 
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| 191 | continue; | 
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| 192 | } | 
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| 193 |  | 
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| 194 | auto chunk = in->pull(); | 
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| 195 | addChunk(std::move(chunk), input_num); | 
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| 196 |  | 
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| 197 | if (has_two_level && !single_level_chunks.empty()) | 
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| 198 | return Status::Ready; | 
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| 199 |  | 
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| 200 | if (!in->isFinished() && need_input(input_num)) | 
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| 201 | need_data = true; | 
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| 202 | } | 
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| 203 |  | 
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| 204 | if (finished) | 
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| 205 | { | 
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| 206 | all_inputs_finished = true; | 
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| 207 | break; | 
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| 208 | } | 
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| 209 |  | 
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| 210 | if (need_data) | 
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| 211 | return Status::NeedData; | 
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| 212 | } | 
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| 213 |  | 
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| 214 | if (pushed_to_output) | 
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| 215 | return Status::PortFull; | 
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| 216 |  | 
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| 217 | if (has_two_level) | 
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| 218 | { | 
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| 219 | if (tryPushTwoLevelData()) | 
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| 220 | return Status::PortFull; | 
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| 221 |  | 
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| 222 | /// Sanity check. If new bucket was read, we should be able to push it. | 
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| 223 | if (!all_inputs_finished) | 
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| 224 | throw Exception( "GroupingAggregatedTransform has read new two-level bucket, but couldn't push it.", | 
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| 225 | ErrorCodes::LOGICAL_ERROR); | 
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| 226 | } | 
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| 227 | else | 
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| 228 | { | 
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| 229 | if (!all_inputs_finished) | 
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| 230 | throw Exception( "GroupingAggregatedTransform should have read all chunks for single level aggregation, " | 
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| 231 | "but not all of the inputs are finished.", ErrorCodes::LOGICAL_ERROR); | 
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| 232 |  | 
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| 233 | if (tryPushSingleLevelData()) | 
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| 234 | return Status::PortFull; | 
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| 235 | } | 
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| 236 |  | 
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| 237 | /// If we haven't pushed to output, then all data was read. Push overflows if have. | 
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| 238 | if (tryPushOverflowData()) | 
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| 239 | return Status::PortFull; | 
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| 240 |  | 
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| 241 | output.finish(); | 
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| 242 | return Status::Finished; | 
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| 243 | } | 
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| 244 |  | 
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| 245 | void GroupingAggregatedTransform::addChunk(Chunk chunk, size_t input) | 
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| 246 | { | 
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| 247 | auto & info = chunk.getChunkInfo(); | 
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| 248 | if (!info) | 
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| 249 | throw Exception( "Chunk info was not set for chunk in GroupingAggregatedTransform.", ErrorCodes::LOGICAL_ERROR); | 
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| 250 |  | 
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| 251 | auto * agg_info = typeid_cast<const AggregatedChunkInfo *>(info.get()); | 
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| 252 | if (!agg_info) | 
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| 253 | throw Exception( "Chunk should have AggregatedChunkInfo in GroupingAggregatedTransform.", ErrorCodes::LOGICAL_ERROR); | 
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| 254 |  | 
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| 255 | Int32 bucket = agg_info->bucket_num; | 
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| 256 | bool is_overflows = agg_info->is_overflows; | 
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| 257 |  | 
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| 258 | if (is_overflows) | 
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| 259 | overflow_chunks.emplace_back(std::move(chunk)); | 
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| 260 | else if (bucket < 0) | 
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| 261 | single_level_chunks.emplace_back(std::move(chunk)); | 
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| 262 | else | 
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| 263 | { | 
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| 264 | chunks_map[bucket].emplace_back(std::move(chunk)); | 
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| 265 | has_two_level = true; | 
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| 266 | last_bucket_number[input] = bucket; | 
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| 267 | } | 
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| 268 | } | 
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| 269 |  | 
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| 270 | void GroupingAggregatedTransform::work() | 
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| 271 | { | 
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| 272 | if (!single_level_chunks.empty()) | 
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| 273 | { | 
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| 274 | auto &  = getOutputs().front().getHeader(); | 
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| 275 | auto block = header.cloneWithColumns(single_level_chunks.back().detachColumns()); | 
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| 276 | single_level_chunks.pop_back(); | 
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| 277 | auto blocks = params->aggregator.convertBlockToTwoLevel(block); | 
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| 278 |  | 
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| 279 | for (auto & cur_block : blocks) | 
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| 280 | { | 
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| 281 | Int32 bucket = cur_block.info.bucket_num; | 
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| 282 | chunks_map[bucket].emplace_back(Chunk(cur_block.getColumns(), cur_block.rows())); | 
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| 283 | } | 
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| 284 | } | 
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| 285 | } | 
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| 286 |  | 
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| 287 |  | 
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| 288 | MergingAggregatedBucketTransform::MergingAggregatedBucketTransform(AggregatingTransformParamsPtr params_) | 
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| 289 | : ISimpleTransform({}, params_->getHeader(), false), params(std::move(params_)) | 
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| 290 | { | 
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| 291 | setInputNotNeededAfterRead(true); | 
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| 292 | } | 
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| 293 |  | 
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| 294 | void MergingAggregatedBucketTransform::transform(Chunk & chunk) | 
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| 295 | { | 
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| 296 | auto & info = chunk.getChunkInfo(); | 
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| 297 | auto * chunks_to_merge = typeid_cast<const ChunksToMerge *>(info.get()); | 
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| 298 |  | 
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| 299 | if (!chunks_to_merge) | 
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| 300 | throw Exception( "MergingAggregatedSimpleTransform chunk must have ChunkInfo with type ChunksToMerge.", | 
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| 301 | ErrorCodes::LOGICAL_ERROR); | 
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| 302 |  | 
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| 303 | auto  = params->aggregator.getHeader(false); | 
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| 304 |  | 
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| 305 | BlocksList blocks_list; | 
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| 306 | for (auto & cur_chunk : *chunks_to_merge->chunks) | 
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| 307 | { | 
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| 308 | auto & cur_info = cur_chunk.getChunkInfo(); | 
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| 309 | if (!cur_info) | 
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| 310 | throw Exception( "Chunk info was not set for chunk in MergingAggregatedBucketTransform.", | 
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| 311 | ErrorCodes::LOGICAL_ERROR); | 
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| 312 |  | 
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| 313 | auto * agg_info = typeid_cast<const AggregatedChunkInfo *>(cur_info.get()); | 
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| 314 | if (!agg_info) | 
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| 315 | throw Exception( "Chunk should have AggregatedChunkInfo in MergingAggregatedBucketTransform.", | 
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| 316 | ErrorCodes::LOGICAL_ERROR); | 
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| 317 |  | 
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| 318 | Block block = header.cloneWithColumns(cur_chunk.detachColumns()); | 
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| 319 | block.info.is_overflows = agg_info->is_overflows; | 
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| 320 | block.info.bucket_num = agg_info->bucket_num; | 
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| 321 |  | 
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| 322 | blocks_list.emplace_back(std::move(block)); | 
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| 323 | } | 
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| 324 |  | 
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| 325 | auto res_info = std::make_shared<AggregatedChunkInfo>(); | 
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| 326 | res_info->is_overflows = chunks_to_merge->is_overflows; | 
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| 327 | res_info->bucket_num = chunks_to_merge->bucket_num; | 
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| 328 | chunk.setChunkInfo(std::move(res_info)); | 
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| 329 |  | 
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| 330 | auto block = params->aggregator.mergeBlocks(blocks_list, params->final); | 
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| 331 | size_t num_rows = block.rows(); | 
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| 332 | chunk.setColumns(block.getColumns(), num_rows); | 
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| 333 | } | 
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| 334 |  | 
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| 335 |  | 
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| 336 | SortingAggregatedTransform::SortingAggregatedTransform(size_t num_inputs_, AggregatingTransformParamsPtr params_) | 
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| 337 | : IProcessor(InputPorts(num_inputs_, params_->getHeader()), {params_->getHeader()}) | 
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| 338 | , num_inputs(num_inputs_) | 
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| 339 | , params(std::move(params_)) | 
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| 340 | , last_bucket_number(num_inputs, -1) | 
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| 341 | , is_input_finished(num_inputs, false) | 
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| 342 | { | 
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| 343 | } | 
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| 344 |  | 
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| 345 | bool SortingAggregatedTransform::tryPushChunk() | 
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| 346 | { | 
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| 347 | auto & output = outputs.front(); | 
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| 348 |  | 
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| 349 | if (chunks.empty()) | 
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| 350 | return false; | 
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| 351 |  | 
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| 352 | /// Chunk with min current bucket. | 
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| 353 | auto it = chunks.begin(); | 
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| 354 | auto cur_bucket = it->first; | 
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| 355 |  | 
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| 356 | /// Check that can push it | 
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| 357 | for (size_t input = 0; input < num_inputs; ++input) | 
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| 358 | if (!is_input_finished[input] && last_bucket_number[input] < cur_bucket) | 
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| 359 | return false; | 
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| 360 |  | 
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| 361 | output.push(std::move(it->second)); | 
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| 362 | chunks.erase(it); | 
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| 363 | return true; | 
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| 364 | } | 
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| 365 |  | 
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| 366 | void SortingAggregatedTransform::addChunk(Chunk chunk, size_t from_input) | 
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| 367 | { | 
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| 368 | auto & info = chunk.getChunkInfo(); | 
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| 369 | if (!info) | 
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| 370 | throw Exception( "Chunk info was not set for chunk in SortingAggregatedTransform.", ErrorCodes::LOGICAL_ERROR); | 
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| 371 |  | 
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| 372 | auto * agg_info = typeid_cast<const AggregatedChunkInfo *>(info.get()); | 
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| 373 | if (!agg_info) | 
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| 374 | throw Exception( "Chunk should have AggregatedChunkInfo in SortingAggregatedTransform.", ErrorCodes::LOGICAL_ERROR); | 
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| 375 |  | 
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| 376 | Int32 bucket = agg_info->bucket_num; | 
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| 377 | bool is_overflows = agg_info->is_overflows; | 
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| 378 |  | 
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| 379 | if (is_overflows) | 
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| 380 | overflow_chunk = std::move(chunk); | 
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| 381 | else | 
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| 382 | { | 
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| 383 | if (chunks[bucket]) | 
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| 384 | throw Exception( "SortingAggregatedTransform already got bucket with number "+ toString(bucket), | 
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| 385 | ErrorCodes::LOGICAL_ERROR); | 
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| 386 |  | 
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| 387 | chunks[bucket] = std::move(chunk); | 
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| 388 | last_bucket_number[from_input] = bucket; | 
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| 389 | } | 
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| 390 | } | 
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| 391 |  | 
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| 392 | IProcessor::Status SortingAggregatedTransform::prepare() | 
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| 393 | { | 
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| 394 | /// Check can output. | 
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| 395 | auto & output = outputs.front(); | 
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| 396 |  | 
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| 397 | if (output.isFinished()) | 
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| 398 | { | 
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| 399 | for (auto & input : inputs) | 
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| 400 | input.close(); | 
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| 401 |  | 
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| 402 | chunks.clear(); | 
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| 403 | last_bucket_number.clear(); | 
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| 404 | return Status::Finished; | 
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| 405 | } | 
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| 406 |  | 
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| 407 | /// Check can push (to avoid data caching). | 
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| 408 | if (!output.canPush()) | 
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| 409 | { | 
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| 410 | for (auto & input : inputs) | 
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| 411 | input.setNotNeeded(); | 
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| 412 |  | 
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| 413 | return Status::PortFull; | 
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| 414 | } | 
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| 415 |  | 
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| 416 | /// Push if have min version. | 
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| 417 | bool pushed_to_output = tryPushChunk(); | 
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| 418 |  | 
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| 419 | bool need_data = false; | 
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| 420 | bool all_finished = true; | 
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| 421 |  | 
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| 422 | /// Try read anything. | 
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| 423 | auto in = inputs.begin(); | 
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| 424 | for (size_t input_num = 0; input_num < num_inputs; ++input_num, ++in) | 
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| 425 | { | 
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| 426 | if (in->isFinished()) | 
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| 427 | { | 
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| 428 | is_input_finished[input_num] = true; | 
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| 429 | continue; | 
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| 430 | } | 
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| 431 |  | 
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| 432 | //all_finished = false; | 
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| 433 |  | 
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| 434 | in->setNeeded(); | 
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| 435 |  | 
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| 436 | if (!in->hasData()) | 
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| 437 | { | 
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| 438 | need_data = true; | 
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| 439 | all_finished = false; | 
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| 440 | continue; | 
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| 441 | } | 
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| 442 |  | 
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| 443 | auto chunk = in->pull(); | 
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| 444 | addChunk(std::move(chunk), input_num); | 
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| 445 |  | 
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| 446 | if (in->isFinished()) | 
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| 447 | { | 
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| 448 | is_input_finished[input_num] = true; | 
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| 449 | } | 
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| 450 | else | 
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| 451 | { | 
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| 452 | /// If chunk was pulled, then we need data from this port. | 
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| 453 | need_data = true; | 
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| 454 | all_finished = false; | 
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| 455 | } | 
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| 456 | } | 
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| 457 |  | 
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| 458 | if (pushed_to_output) | 
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| 459 | return Status::PortFull; | 
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| 460 |  | 
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| 461 | if (tryPushChunk()) | 
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| 462 | return Status::PortFull; | 
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| 463 |  | 
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| 464 | if (need_data) | 
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| 465 | return Status::NeedData; | 
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| 466 |  | 
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| 467 | if (!all_finished) | 
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| 468 | throw Exception( "SortingAggregatedTransform has read bucket, but couldn't push it.", | 
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| 469 | ErrorCodes::LOGICAL_ERROR); | 
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| 470 |  | 
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| 471 | if (overflow_chunk) | 
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| 472 | { | 
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| 473 | output.push(std::move(overflow_chunk)); | 
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| 474 | return Status::PortFull; | 
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| 475 | } | 
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| 476 |  | 
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| 477 | output.finish(); | 
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| 478 | return Status::Finished; | 
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| 479 | } | 
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| 480 |  | 
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| 481 |  | 
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| 482 | Processors createMergingAggregatedMemoryEfficientPipe( | 
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| 483 | Block , | 
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| 484 | AggregatingTransformParamsPtr params, | 
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| 485 | size_t num_inputs, | 
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| 486 | size_t num_merging_processors) | 
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| 487 | { | 
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| 488 | Processors processors; | 
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| 489 | processors.reserve(num_merging_processors + 2); | 
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| 490 |  | 
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| 491 | auto grouping = std::make_shared<GroupingAggregatedTransform>(header, num_inputs, params); | 
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| 492 | processors.emplace_back(std::move(grouping)); | 
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| 493 |  | 
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| 494 | if (num_merging_processors <= 1) | 
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| 495 | { | 
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| 496 | /// --> GroupingAggregated --> MergingAggregatedBucket --> | 
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| 497 | auto transform = std::make_shared<MergingAggregatedBucketTransform>(params); | 
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| 498 | connect(processors.back()->getOutputs().front(), transform->getInputPort()); | 
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| 499 |  | 
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| 500 | processors.emplace_back(std::move(transform)); | 
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| 501 | return processors; | 
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| 502 | } | 
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| 503 |  | 
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| 504 | /// -->                                        --> MergingAggregatedBucket --> | 
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| 505 | /// --> GroupingAggregated --> ResizeProcessor --> MergingAggregatedBucket --> SortingAggregated --> | 
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| 506 | /// -->                                        --> MergingAggregatedBucket --> | 
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| 507 |  | 
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| 508 | auto resize = std::make_shared<ResizeProcessor>(Block(), 1, num_merging_processors); | 
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| 509 | connect(processors.back()->getOutputs().front(), resize->getInputs().front()); | 
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| 510 | processors.emplace_back(std::move(resize)); | 
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| 511 |  | 
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| 512 | auto sorting = std::make_shared<SortingAggregatedTransform>(num_merging_processors, params); | 
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| 513 | auto out = processors.back()->getOutputs().begin(); | 
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| 514 | auto in = sorting->getInputs().begin(); | 
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| 515 |  | 
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| 516 | for (size_t i = 0; i < num_merging_processors; ++i, ++in, ++out) | 
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| 517 | { | 
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| 518 | auto transform = std::make_shared<MergingAggregatedBucketTransform>(params); | 
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| 519 | transform->setStream(i); | 
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| 520 | connect(*out, transform->getInputPort()); | 
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| 521 | connect(transform->getOutputPort(), *in); | 
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| 522 | processors.emplace_back(std::move(transform)); | 
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| 523 | } | 
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| 524 |  | 
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| 525 | processors.emplace_back(std::move(sorting)); | 
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| 526 | return processors; | 
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| 527 | } | 
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| 528 |  | 
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| 529 | } | 
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| 530 |  | 
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