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Fix fuzzed query.
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@ -245,6 +245,35 @@ std::optional<AggregateFunctionMatches> matchAggregateFunctions(
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return res;
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}
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static void appendAggregateFunctions(
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ActionsDAG & proj_dag,
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const AggregateDescriptions & aggregates,
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const AggregateFunctionMatches & matched_aggregates)
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{
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std::unordered_map<const AggregateDescription *, const ActionsDAG::Node *> inputs;
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/// Just add all the aggregates to dag inputs.
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auto & proj_dag_outputs = proj_dag.getOutputs();
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size_t num_aggregates = aggregates.size();
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for (size_t i = 0; i < num_aggregates; ++i)
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{
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const auto & aggregate = aggregates[i];
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const auto & match = matched_aggregates[i];
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auto type = std::make_shared<DataTypeAggregateFunction>(aggregate.function, match.argument_types, aggregate.parameters);
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auto & input = inputs[match.description];
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if (!input)
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input = &proj_dag.addInput(match.description->column_name, std::move(type));
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const auto * node = input;
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if (node->result_name != aggregate.column_name)
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node = &proj_dag.addAlias(*node, aggregate.column_name);
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proj_dag_outputs.push_back(node);
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}
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}
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ActionsDAGPtr analyzeAggregateProjection(
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const AggregateProjectionInfo & info,
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const QueryDAG & query,
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@ -365,23 +394,7 @@ ActionsDAGPtr analyzeAggregateProjection(
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// LOG_TRACE(&Poco::Logger::get("optimizeUseProjections"), "Folding actions by projection");
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auto proj_dag = query.dag->foldActionsByProjection(new_inputs, query_key_nodes);
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/// Just add all the aggregates to dag inputs.
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auto & proj_dag_outputs = proj_dag->getOutputs();
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size_t num_aggregates = aggregates.size();
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for (size_t i = 0; i < num_aggregates; ++i)
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{
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const auto & aggregate = aggregates[i];
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const auto & match = (*matched_aggregates)[i];
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auto type = std::make_shared<DataTypeAggregateFunction>(aggregate.function, match.argument_types, aggregate.parameters);
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const auto * node = &proj_dag->addInput(match.description->column_name, std::move(type));
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if (aggregate.column_name != match.description->column_name)
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node = &proj_dag->addAlias(*node, aggregate.column_name);
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proj_dag_outputs.push_back(node);
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}
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appendAggregateFunctions(*proj_dag, aggregates, *matched_aggregates);
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return proj_dag;
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}
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@ -0,0 +1,8 @@
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drop table if exists projection_test__fuzz_0;
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set allow_suspicious_low_cardinality_types=1;
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CREATE TABLE projection_test__fuzz_0 (`sum(block_count)` UInt64, `domain_alias` UInt64 ALIAS length(domain), `datetime` DateTime, `domain` LowCardinality(String), `x_id` String, `y_id` String, `block_count` Int64, `retry_count` Int64, `duration` Decimal(76, 13), `kbytes` LowCardinality(Int64), `buffer_time` Int64, `first_time` UInt256, `total_bytes` LowCardinality(Nullable(UInt64)), `valid_bytes` Nullable(UInt64), `completed_bytes` Nullable(UInt64), `fixed_bytes` LowCardinality(Nullable(UInt64)), `force_bytes` Int256, PROJECTION p (SELECT toStartOfMinute(datetime) AS dt_m, countIf(first_time = 0) / count(), avg((kbytes * 8) / duration), count(), sum(block_count) / sum(duration), avg(block_count / duration), sum(buffer_time) / sum(duration), avg(buffer_time / duration), sum(valid_bytes) / sum(total_bytes), sum(completed_bytes) / sum(total_bytes), sum(fixed_bytes) / sum(total_bytes), sum(force_bytes) / sum(total_bytes), sum(valid_bytes) / sum(total_bytes), sum(retry_count) / sum(duration), avg(retry_count / duration), countIf(block_count > 0) / count(), countIf(first_time = 0) / count(), uniqHLL12(x_id), uniqHLL12(y_id) GROUP BY dt_m, domain)) ENGINE = MergeTree PARTITION BY toDate(datetime) ORDER BY (toStartOfTenMinutes(datetime), domain) SETTINGS index_granularity_bytes = 10000000;
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INSERT INTO projection_test__fuzz_0 SETTINGS max_threads = 1 WITH rowNumberInAllBlocks() AS id SELECT 1, toDateTime('2020-10-24 00:00:00') + (id / 20), toString(id % 100), * FROM generateRandom('x_id String, y_id String, block_count Int64, retry_count Int64, duration Int64, kbytes Int64, buffer_time Int64, first_time Int64, total_bytes Nullable(UInt64), valid_bytes Nullable(UInt64), completed_bytes Nullable(UInt64), fixed_bytes Nullable(UInt64), force_bytes Nullable(UInt64)', 10, 10, 1) LIMIT 1000 SETTINGS max_threads = 1;
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SELECT '-21474836.48', 10000000000., '', count(kbytes), '', 10.0001, toStartOfMinute(datetime) AS dt_m, 10, NULL FROM projection_test__fuzz_0 GROUP BY dt_m WITH ROLLUP WITH TOTALS ORDER BY count(retry_count / duration) ASC NULLS LAST, 100000000000000000000. ASC NULLS FIRST format Null;
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drop table projection_test__fuzz_0;
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