| 1 | #include "duckdb/execution/operator/projection/physical_tableinout_function.hpp" | 
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| 2 |  | 
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| 3 | namespace duckdb { | 
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| 4 |  | 
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| 5 | class TableInOutLocalState : public OperatorState { | 
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| 6 | public: | 
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| 7 | TableInOutLocalState() : row_index(0), new_row(true) { | 
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| 8 | } | 
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| 9 |  | 
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| 10 | unique_ptr<LocalTableFunctionState> local_state; | 
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| 11 | idx_t row_index; | 
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| 12 | bool new_row; | 
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| 13 | DataChunk input_chunk; | 
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| 14 | }; | 
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| 15 |  | 
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| 16 | class TableInOutGlobalState : public GlobalOperatorState { | 
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| 17 | public: | 
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| 18 | TableInOutGlobalState() { | 
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| 19 | } | 
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| 20 |  | 
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| 21 | unique_ptr<GlobalTableFunctionState> global_state; | 
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| 22 | }; | 
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| 23 |  | 
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| 24 | PhysicalTableInOutFunction::PhysicalTableInOutFunction(vector<LogicalType> types, TableFunction function_p, | 
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| 25 | unique_ptr<FunctionData> bind_data_p, | 
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| 26 | vector<column_t> column_ids_p, idx_t estimated_cardinality, | 
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| 27 | vector<column_t> project_input_p) | 
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| 28 | : PhysicalOperator(PhysicalOperatorType::INOUT_FUNCTION, std::move(types), estimated_cardinality), | 
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| 29 | function(std::move(function_p)), bind_data(std::move(bind_data_p)), column_ids(std::move(column_ids_p)), | 
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| 30 | projected_input(std::move(project_input_p)) { | 
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| 31 | } | 
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| 32 |  | 
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| 33 | unique_ptr<OperatorState> PhysicalTableInOutFunction::GetOperatorState(ExecutionContext &context) const { | 
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| 34 | auto &gstate = op_state->Cast<TableInOutGlobalState>(); | 
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| 35 | auto result = make_uniq<TableInOutLocalState>(); | 
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| 36 | if (function.init_local) { | 
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| 37 | TableFunctionInitInput input(bind_data.get(), column_ids, vector<idx_t>(), nullptr); | 
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| 38 | result->local_state = function.init_local(context, input, gstate.global_state.get()); | 
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| 39 | } | 
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| 40 | if (!projected_input.empty()) { | 
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| 41 | result->input_chunk.Initialize(context&: context.client, types: children[0]->types); | 
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| 42 | } | 
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| 43 | return std::move(result); | 
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| 44 | } | 
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| 45 |  | 
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| 46 | unique_ptr<GlobalOperatorState> PhysicalTableInOutFunction::GetGlobalOperatorState(ClientContext &context) const { | 
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| 47 | auto result = make_uniq<TableInOutGlobalState>(); | 
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| 48 | if (function.init_global) { | 
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| 49 | TableFunctionInitInput input(bind_data.get(), column_ids, vector<idx_t>(), nullptr); | 
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| 50 | result->global_state = function.init_global(context, input); | 
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| 51 | } | 
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| 52 | return std::move(result); | 
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| 53 | } | 
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| 54 |  | 
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| 55 | OperatorResultType PhysicalTableInOutFunction::Execute(ExecutionContext &context, DataChunk &input, DataChunk &chunk, | 
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| 56 | GlobalOperatorState &gstate_p, OperatorState &state_p) const { | 
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| 57 | auto &gstate = gstate_p.Cast<TableInOutGlobalState>(); | 
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| 58 | auto &state = state_p.Cast<TableInOutLocalState>(); | 
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| 59 | TableFunctionInput data(bind_data.get(), state.local_state.get(), gstate.global_state.get()); | 
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| 60 | if (projected_input.empty()) { | 
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| 61 | // straightforward case - no need to project input | 
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| 62 | return function.in_out_function(context, data, input, chunk); | 
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| 63 | } | 
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| 64 | // when project_input is set we execute the input function row-by-row | 
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| 65 | if (state.new_row) { | 
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| 66 | if (state.row_index >= input.size()) { | 
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| 67 | // finished processing this chunk | 
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| 68 | state.new_row = true; | 
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| 69 | state.row_index = 0; | 
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| 70 | return OperatorResultType::NEED_MORE_INPUT; | 
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| 71 | } | 
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| 72 | // we are processing a new row: fetch the data for the current row | 
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| 73 | state.input_chunk.Reset(); | 
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| 74 | D_ASSERT(input.ColumnCount() == state.input_chunk.ColumnCount()); | 
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| 75 | // set up the input data to the table in-out function | 
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| 76 | for (idx_t col_idx = 0; col_idx < input.ColumnCount(); col_idx++) { | 
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| 77 | ConstantVector::Reference(vector&: state.input_chunk.data[col_idx], source&: input.data[col_idx], position: state.row_index, count: 1); | 
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| 78 | } | 
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| 79 | state.input_chunk.SetCardinality(1); | 
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| 80 | state.row_index++; | 
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| 81 | state.new_row = false; | 
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| 82 | } | 
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| 83 | // set up the output data in "chunk" | 
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| 84 | D_ASSERT(chunk.ColumnCount() > projected_input.size()); | 
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| 85 | D_ASSERT(state.row_index > 0); | 
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| 86 | idx_t base_idx = chunk.ColumnCount() - projected_input.size(); | 
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| 87 | for (idx_t project_idx = 0; project_idx < projected_input.size(); project_idx++) { | 
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| 88 | auto source_idx = projected_input[project_idx]; | 
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| 89 | auto target_idx = base_idx + project_idx; | 
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| 90 | ConstantVector::Reference(vector&: chunk.data[target_idx], source&: input.data[source_idx], position: state.row_index - 1, count: 1); | 
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| 91 | } | 
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| 92 | auto result = function.in_out_function(context, data, state.input_chunk, chunk); | 
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| 93 | if (result == OperatorResultType::FINISHED) { | 
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| 94 | return result; | 
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| 95 | } | 
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| 96 | if (result == OperatorResultType::NEED_MORE_INPUT) { | 
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| 97 | // we finished processing this row: move to the next row | 
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| 98 | state.new_row = true; | 
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| 99 | } | 
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| 100 | return OperatorResultType::HAVE_MORE_OUTPUT; | 
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| 101 | } | 
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| 102 |  | 
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| 103 | OperatorFinalizeResultType PhysicalTableInOutFunction::FinalExecute(ExecutionContext &context, DataChunk &chunk, | 
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| 104 | GlobalOperatorState &gstate_p, | 
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| 105 | OperatorState &state_p) const { | 
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| 106 | auto &gstate = gstate_p.Cast<TableInOutGlobalState>(); | 
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| 107 | auto &state = state_p.Cast<TableInOutLocalState>(); | 
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| 108 | if (!projected_input.empty()) { | 
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| 109 | throw InternalException( "FinalExecute not supported for project_input"); | 
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| 110 | } | 
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| 111 | TableFunctionInput data(bind_data.get(), state.local_state.get(), gstate.global_state.get()); | 
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| 112 | return function.in_out_function_final(context, data, chunk); | 
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| 113 | } | 
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| 114 |  | 
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| 115 | } // namespace duckdb | 
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| 116 |  | 
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