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Merge pull request #59741 from vitlibar/fix-skipping-unused-shards-with_analyzer
Fix skipping unused shards with analyzer
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commit
1c58cafcf3
@ -554,6 +554,21 @@ void ColumnArray::insertRangeFrom(const IColumn & src, size_t start, size_t leng
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}
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MutableColumnPtr ColumnArray::getDataInRange(size_t start, size_t length) const
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{
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if (start + length > getOffsets().size())
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throw Exception(ErrorCodes::PARAMETER_OUT_OF_BOUND, "Parameter out of bound in ColumnArray::getDataPtrForRange method. "
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"[start({}) + length({}) > offsets.size({})]", start, length, getOffsets().size());
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size_t start_offset = offsetAt(start);
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size_t end_offset = offsetAt(start + length);
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auto res = getData().cloneEmpty();
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res->insertRangeFrom(getData(), start_offset, end_offset - start_offset);
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return res;
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}
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ColumnPtr ColumnArray::filter(const Filter & filt, ssize_t result_size_hint) const
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{
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if (typeid_cast<const ColumnUInt8 *>(data.get()))
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@ -143,6 +143,10 @@ public:
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const ColumnPtr & getOffsetsPtr() const { return offsets; }
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ColumnPtr & getOffsetsPtr() { return offsets; }
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/// Returns a copy of the data column's part corresponding to a specified range of rows.
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/// For example, `getDataInRange(0, size())` is the same as `getDataPtr()->clone()`.
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MutableColumnPtr getDataInRange(size_t start, size_t length) const;
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MutableColumns scatter(ColumnIndex num_columns, const Selector & selector) const override
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{
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return scatterImpl<ColumnArray>(num_columns, selector);
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@ -605,7 +605,7 @@ ActionsDAGPtr ActionsDAG::cloneSubDAG(const NodeRawConstPtrs & outputs, bool rem
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return actions;
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}
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static ColumnWithTypeAndName executeActionForHeader(const ActionsDAG::Node * node, ColumnsWithTypeAndName arguments)
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static ColumnWithTypeAndName executeActionForPartialResult(const ActionsDAG::Node * node, ColumnsWithTypeAndName arguments, size_t input_rows_count)
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{
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ColumnWithTypeAndName res_column;
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res_column.type = node->result_type;
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@ -615,7 +615,7 @@ static ColumnWithTypeAndName executeActionForHeader(const ActionsDAG::Node * nod
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{
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case ActionsDAG::ActionType::FUNCTION:
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{
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res_column.column = node->function->execute(arguments, res_column.type, 0, true);
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res_column.column = node->function->execute(arguments, res_column.type, input_rows_count, true);
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break;
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}
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@ -628,13 +628,24 @@ static ColumnWithTypeAndName executeActionForHeader(const ActionsDAG::Node * nod
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if (!array)
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throw Exception(ErrorCodes::TYPE_MISMATCH,
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"ARRAY JOIN of not array nor map: {}", node->result_name);
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res_column.column = array->getDataPtr()->cloneEmpty();
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ColumnPtr data;
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if (input_rows_count < array->size())
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data = array->getDataInRange(0, input_rows_count);
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else
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data = array->getDataPtr();
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res_column.column = data;
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break;
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}
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case ActionsDAG::ActionType::COLUMN:
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{
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res_column.column = node->column->cloneResized(0);
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auto column = node->column;
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if (input_rows_count < column->size())
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column = column->cloneResized(input_rows_count);
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res_column.column = column;
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break;
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}
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@ -681,7 +692,7 @@ Block ActionsDAG::updateHeader(Block header) const
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ColumnsWithTypeAndName result_columns;
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try
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{
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result_columns = evaluatePartialResult(node_to_column, outputs, true);
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result_columns = evaluatePartialResult(node_to_column, outputs, /* input_rows_count= */ 0, /* throw_on_error= */ true);
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}
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catch (Exception & e)
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{
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@ -710,8 +721,11 @@ Block ActionsDAG::updateHeader(Block header) const
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ColumnsWithTypeAndName ActionsDAG::evaluatePartialResult(
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IntermediateExecutionResult & node_to_column,
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const NodeRawConstPtrs & outputs,
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size_t input_rows_count,
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bool throw_on_error)
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{
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chassert(input_rows_count <= 1); /// evaluatePartialResult() should be used only to evaluate headers or constants
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ColumnsWithTypeAndName result_columns;
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result_columns.reserve(outputs.size());
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@ -768,7 +782,7 @@ ColumnsWithTypeAndName ActionsDAG::evaluatePartialResult(
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node->result_name);
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if (node->type != ActionsDAG::ActionType::INPUT && has_all_arguments)
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node_to_column[node] = executeActionForHeader(node, std::move(arguments));
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node_to_column[node] = executeActionForPartialResult(node, std::move(arguments), input_rows_count);
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}
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}
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@ -278,6 +278,7 @@ public:
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static ColumnsWithTypeAndName evaluatePartialResult(
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IntermediateExecutionResult & node_to_column,
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const NodeRawConstPtrs & outputs,
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size_t input_rows_count,
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bool throw_on_error);
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/// For apply materialize() function for every output.
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@ -661,7 +661,7 @@ namespace
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const ActionsDAG::NodeRawConstPtrs & target_expr,
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ConjunctionMap && conjunction)
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{
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auto columns = ActionsDAG::evaluatePartialResult(conjunction, target_expr, false);
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auto columns = ActionsDAG::evaluatePartialResult(conjunction, target_expr, /* input_rows_count= */ 1, /* throw_on_error= */ false);
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for (const auto & column : columns)
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if (!column.column)
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return {};
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