2021-05-17 07:30:42 +00:00
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#include <Functions/IFunction.h>
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2018-09-08 22:04:39 +00:00
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#include <Functions/FunctionFactory.h>
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#include <Functions/FunctionHelpers.h>
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#include <Columns/ColumnAggregateFunction.h>
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#include <DataTypes/DataTypeAggregateFunction.h>
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#include <Common/AlignedBuffer.h>
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#include <Common/Arena.h>
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2021-06-15 19:55:21 +00:00
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#include <common/scope_guard_safe.h>
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2018-09-08 22:04:39 +00:00
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namespace DB
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{
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namespace ErrorCodes
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{
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extern const int ILLEGAL_COLUMN;
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extern const int ILLEGAL_TYPE_OF_ARGUMENT;
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2019-12-27 20:55:42 +00:00
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extern const int NUMBER_OF_ARGUMENTS_DOESNT_MATCH;
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2018-09-08 22:04:39 +00:00
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}
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2020-09-07 18:00:37 +00:00
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namespace
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{
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2018-09-08 22:04:39 +00:00
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/** runningAccumulate(agg_state) - takes the states of the aggregate function and returns a column with values,
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2020-10-14 14:04:50 +00:00
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* are the result of the accumulation of these states for a set of columns lines, from the first to the current line.
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2018-09-08 22:04:39 +00:00
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*
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* Quite unusual function.
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* Takes state of aggregate function (example runningAccumulate(uniqState(UserID))),
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2020-10-14 14:04:50 +00:00
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* and for each row of columns, return result of aggregate function on merge of states of all previous rows and current row.
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2018-09-08 22:04:39 +00:00
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*
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2020-10-14 14:04:50 +00:00
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* So, result of function depends on partition of data to columnss and on order of data in columns.
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2018-09-08 22:04:39 +00:00
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*/
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class FunctionRunningAccumulate : public IFunction
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{
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public:
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static constexpr auto name = "runningAccumulate";
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2021-06-01 12:20:52 +00:00
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static FunctionPtr create(ContextPtr)
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{
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return std::make_shared<FunctionRunningAccumulate>();
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}
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String getName() const override
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{
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return name;
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}
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2019-01-30 02:47:26 +00:00
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bool isStateful() const override
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{
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return true;
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}
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2019-12-20 20:56:39 +00:00
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bool isVariadic() const override { return true; }
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size_t getNumberOfArguments() const override { return 0; }
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2018-09-08 22:04:39 +00:00
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bool isDeterministic() const override { return false; }
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bool isDeterministicInScopeOfQuery() const override
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{
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return false;
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}
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2021-05-17 13:06:11 +00:00
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bool isSuitableForShortCircuitArgumentsExecution(ColumnsWithTypeAndName & /*arguments*/) const override { return true; }
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2021-04-29 14:48:26 +00:00
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2018-09-08 22:04:39 +00:00
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DataTypePtr getReturnTypeImpl(const DataTypes & arguments) const override
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{
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2020-03-09 03:38:43 +00:00
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if (arguments.empty() || arguments.size() > 2)
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throw Exception("Incorrect number of arguments of function " + getName() + ". Must be 1 or 2.",
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ErrorCodes::NUMBER_OF_ARGUMENTS_DOESNT_MATCH);
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2018-09-08 22:04:39 +00:00
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const DataTypeAggregateFunction * type = checkAndGetDataType<DataTypeAggregateFunction>(arguments[0].get());
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if (!type)
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throw Exception("Argument for function " + getName() + " must have type AggregateFunction - state of aggregate function.",
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ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT);
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return type->getReturnType();
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}
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2020-11-17 13:24:45 +00:00
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ColumnPtr executeImpl(const ColumnsWithTypeAndName & arguments, const DataTypePtr &, size_t /*input_rows_count*/) const override
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{
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const ColumnAggregateFunction * column_with_states
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= typeid_cast<const ColumnAggregateFunction *>(&*arguments.at(0).column);
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if (!column_with_states)
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throw Exception("Illegal column " + arguments.at(0).column->getName()
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+ " of first argument of function "
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+ getName(),
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ErrorCodes::ILLEGAL_COLUMN);
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2019-12-20 20:56:39 +00:00
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ColumnPtr column_with_groups;
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2019-12-28 20:54:50 +00:00
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if (arguments.size() == 2)
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column_with_groups = arguments[1].column;
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2018-09-08 22:04:39 +00:00
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AggregateFunctionPtr aggregate_function_ptr = column_with_states->getAggregateFunction();
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const IAggregateFunction & agg_func = *aggregate_function_ptr;
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AlignedBuffer place(agg_func.sizeOfData(), agg_func.alignOfData());
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2019-12-20 20:56:39 +00:00
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/// Will pass empty arena if agg_func does not allocate memory in arena
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std::unique_ptr<Arena> arena = agg_func.allocatesMemoryInArena() ? std::make_unique<Arena>() : nullptr;
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auto result_column_ptr = agg_func.getReturnType()->createColumn();
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IColumn & result_column = *result_column_ptr;
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result_column.reserve(column_with_states->size());
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const auto & states = column_with_states->getData();
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2019-12-20 20:56:39 +00:00
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2019-12-28 20:54:50 +00:00
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bool state_created = false;
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2021-04-04 09:23:40 +00:00
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SCOPE_EXIT_MEMORY_SAFE({
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if (state_created)
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2019-12-27 22:52:03 +00:00
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agg_func.destroy(place.data());
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});
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2019-12-28 20:54:50 +00:00
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size_t row_number = 0;
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2018-09-08 22:04:39 +00:00
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for (const auto & state_to_add : states)
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{
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if (row_number == 0 || (column_with_groups && column_with_groups->compareAt(row_number, row_number - 1, *column_with_groups, 1) != 0))
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{
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if (state_created)
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2019-12-27 22:52:03 +00:00
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{
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2019-12-28 20:54:50 +00:00
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agg_func.destroy(place.data());
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state_created = false;
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2019-12-27 22:52:03 +00:00
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}
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2021-05-08 14:09:40 +00:00
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agg_func.create(place.data()); /// This function can throw.
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state_created = true; //-V519
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2019-12-20 20:56:39 +00:00
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}
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2018-09-08 22:04:39 +00:00
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agg_func.merge(place.data(), state_to_add, arena.get());
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2020-06-17 19:36:27 +00:00
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agg_func.insertResultInto(place.data(), result_column, arena.get());
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2019-12-20 20:56:39 +00:00
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2019-12-28 20:54:50 +00:00
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++row_number;
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2018-09-08 22:04:39 +00:00
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}
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2020-10-19 15:27:41 +00:00
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return result_column_ptr;
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2018-09-08 22:04:39 +00:00
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}
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};
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2020-09-07 18:00:37 +00:00
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}
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2018-09-08 22:04:39 +00:00
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void registerFunctionRunningAccumulate(FunctionFactory & factory)
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{
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factory.registerFunction<FunctionRunningAccumulate>();
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}
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}
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