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