b858a4669d
Adding a function declaration to expression.hh causes many recompilations. Reduce that by: - moving some restrictions-related definitions to the existing expr/restrictions.hh - moving evaluation related names to a new header expr/evaluate.hh - move utilities to a new header expr/expr-utilities.hh expression.hh contains only expression definitions and the most basic and common helpers, like printing.
625 lines
24 KiB
C++
625 lines
24 KiB
C++
/*
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* Copyright (C) 2015-present ScyllaDB
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*
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* Modified by ScyllaDB
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*/
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/*
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* SPDX-License-Identifier: (AGPL-3.0-or-later and Apache-2.0)
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*/
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#include <boost/range/adaptors.hpp>
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#include <boost/range/algorithm/equal.hpp>
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#include <boost/range/algorithm/transform.hpp>
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#include <boost/algorithm/cxx11/any_of.hpp>
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#include "cql3/selection/selection.hh"
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#include "cql3/selection/raw_selector.hh"
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#include "cql3/selection/selector_factories.hh"
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#include "cql3/selection/abstract_function_selector.hh"
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#include "cql3/result_set.hh"
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#include "cql3/query_options.hh"
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#include "cql3/restrictions/statement_restrictions.hh"
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#include "cql3/expr/evaluate.hh"
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#include "cql3/expr/expr-utils.hh"
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namespace cql3 {
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namespace selection {
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selection::selection(schema_ptr schema,
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std::vector<const column_definition*> columns,
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std::vector<lw_shared_ptr<column_specification>> metadata_,
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bool collect_timestamps,
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bool collect_TTLs,
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trivial is_trivial)
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: _schema(std::move(schema))
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, _columns(std::move(columns))
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, _metadata(::make_shared<metadata>(std::move(metadata_)))
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, _collect_timestamps(collect_timestamps)
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, _collect_TTLs(collect_TTLs)
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, _contains_static_columns(std::any_of(_columns.begin(), _columns.end(), std::mem_fn(&column_definition::is_static)))
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, _is_trivial(is_trivial)
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{ }
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query::partition_slice::option_set selection::get_query_options() {
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query::partition_slice::option_set opts;
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opts.set_if<query::partition_slice::option::send_timestamp>(_collect_timestamps);
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opts.set_if<query::partition_slice::option::send_expiry>(_collect_TTLs);
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opts.set_if<query::partition_slice::option::send_partition_key>(
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std::any_of(_columns.begin(), _columns.end(),
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std::mem_fn(&column_definition::is_partition_key)));
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opts.set_if<query::partition_slice::option::send_clustering_key>(
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std::any_of(_columns.begin(), _columns.end(),
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std::mem_fn(&column_definition::is_clustering_key)));
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return opts;
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}
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bool selection::contains_only_static_columns() const {
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if (!contains_static_columns()) {
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return false;
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}
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if (is_wildcard()) {
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return false;
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}
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for (auto&& def : _columns) {
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if (!def->is_partition_key() && !def->is_static()) {
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return false;
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}
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}
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return true;
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}
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int32_t selection::index_of(const column_definition& def) const {
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auto i = std::find(_columns.begin(), _columns.end(), &def);
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if (i == _columns.end()) {
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return -1;
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}
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return std::distance(_columns.begin(), i);
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}
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bool selection::has_column(const column_definition& def) const {
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return std::find(_columns.begin(), _columns.end(), &def) != _columns.end();
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}
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bool selection::processes_selection(const std::vector<::shared_ptr<raw_selector>>& raw_selectors) {
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return std::any_of(raw_selectors.begin(), raw_selectors.end(),
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[] (auto&& s) { return s->processes_selection(); });
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}
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// Special cased selection for when no function is used (this save some allocations).
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class simple_selection : public selection {
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private:
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const bool _is_wildcard;
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public:
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static ::shared_ptr<simple_selection> make(schema_ptr schema, std::vector<const column_definition*> columns, bool is_wildcard) {
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std::vector<lw_shared_ptr<column_specification>> metadata;
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metadata.reserve(columns.size());
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for (auto&& col : columns) {
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metadata.emplace_back(col->column_specification);
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}
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return ::make_shared<simple_selection>(schema, std::move(columns), std::move(metadata), is_wildcard);
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}
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/*
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* In theory, even a simple selection could have multiple time the same column, so we
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* could filter those duplicate out of columns. But since we're very unlikely to
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* get much duplicate in practice, it's more efficient not to bother.
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*/
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simple_selection(schema_ptr schema, std::vector<const column_definition*> columns,
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std::vector<lw_shared_ptr<column_specification>> metadata, bool is_wildcard)
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: selection(schema, std::move(columns), std::move(metadata), false, false, trivial::yes)
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, _is_wildcard(is_wildcard)
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{ }
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virtual bool is_wildcard() const override { return _is_wildcard; }
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virtual bool is_aggregate() const override { return false; }
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protected:
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class simple_selectors : public selectors {
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private:
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std::vector<managed_bytes_opt> _current;
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bool _first = true; ///< Whether the next row we receive is the first in its group.
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public:
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virtual void reset() override {
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_current.clear();
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_first = true;
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}
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virtual bool requires_thread() const override { return false; }
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virtual std::vector<managed_bytes_opt> get_output_row() override {
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return std::move(_current);
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}
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virtual void add_input_row(result_set_builder& rs) override {
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// GROUP BY calls add_input_row() repeatedly without reset() in between, and it expects
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// the output to be the first value encountered:
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// https://cassandra.apache.org/doc/latest/cql/dml.html#grouping-results
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if (_first) {
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_current = std::move(*rs.current);
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_first = false;
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}
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}
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virtual bool is_aggregate() const override {
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return false;
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}
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};
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std::unique_ptr<selectors> new_selectors() const override {
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return std::make_unique<simple_selectors>();
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}
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};
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shared_ptr<selection>
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selection_from_partition_slice(schema_ptr schema, const query::partition_slice& slice) {
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std::vector<const column_definition*> cdefs;
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cdefs.reserve(slice.static_columns.size() + slice.regular_columns.size());
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for (auto static_col : slice.static_columns) {
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cdefs.push_back(&schema->static_column_at(static_col));
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}
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for (auto regular_col : slice.regular_columns) {
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cdefs.push_back(&schema->regular_column_at(regular_col));
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}
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return simple_selection::make(std::move(schema), std::move(cdefs), false);
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}
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class selection_with_processing : public selection {
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private:
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::shared_ptr<selector_factories> _factories;
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public:
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selection_with_processing(schema_ptr schema, std::vector<const column_definition*> columns,
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std::vector<lw_shared_ptr<column_specification>> metadata, ::shared_ptr<selector_factories> factories)
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: selection(schema, std::move(columns), std::move(metadata),
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factories->contains_write_time_selector_factory(),
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factories->contains_ttl_selector_factory())
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, _factories(std::move(factories))
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{ }
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virtual uint32_t add_column_for_post_processing(const column_definition& c) override {
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uint32_t index = selection::add_column_for_post_processing(c);
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_factories->add_selector_for_post_processing(c, index);
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return index;
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}
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virtual bool is_aggregate() const override {
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return _factories->does_aggregation();
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}
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virtual bool is_count() const override {
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return _factories->does_count();
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}
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virtual bool is_reducible() const override {
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return _factories->does_reduction();
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}
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virtual query::forward_request::reductions_info get_reductions() const override {
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return _factories->get_reductions();
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}
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virtual std::vector<shared_ptr<functions::function>> used_functions() const override {
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return selectors_with_processing(_factories).used_functions();
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}
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protected:
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class selectors_with_processing : public selectors {
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private:
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::shared_ptr<selector_factories> _factories;
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std::vector<::shared_ptr<selector>> _selectors;
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bool _requires_thread;
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public:
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selectors_with_processing(::shared_ptr<selector_factories> factories)
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: _factories(std::move(factories))
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, _selectors(_factories->new_instances())
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, _requires_thread(boost::algorithm::any_of(_selectors, [] (auto& s) { return s->requires_thread(); }))
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{ }
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virtual bool requires_thread() const override {
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return _requires_thread;
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}
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virtual void reset() override {
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for (auto&& s : _selectors) {
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s->reset();
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}
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}
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virtual bool is_aggregate() const override {
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return _factories->does_aggregation();
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}
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virtual std::vector<managed_bytes_opt> get_output_row() override {
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std::vector<managed_bytes_opt> output_row;
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output_row.reserve(_selectors.size());
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for (auto&& s : _selectors) {
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output_row.emplace_back(s->get_output());
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}
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return output_row;
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}
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virtual void add_input_row(result_set_builder& rs) override {
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for (auto&& s : _selectors) {
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s->add_input(rs);
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}
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}
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std::vector<shared_ptr<functions::function>> used_functions() const {
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std::vector<shared_ptr<functions::function>> functions;
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for (const auto& selector : _selectors) {
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if (auto fun_selector = dynamic_pointer_cast<abstract_function_selector>(selector); fun_selector) {
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functions.push_back(fun_selector->function());
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if (auto user_aggr = dynamic_pointer_cast<functions::user_aggregate>(fun_selector); user_aggr) {
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functions.push_back(user_aggr->sfunc());
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functions.push_back(user_aggr->finalfunc());
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}
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}
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}
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return functions;
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}
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};
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std::unique_ptr<selectors> new_selectors() const override {
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return std::make_unique<selectors_with_processing>(_factories);
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}
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};
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::shared_ptr<selection> selection::wildcard(schema_ptr schema) {
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auto columns = schema->all_columns_in_select_order();
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// filter out hidden columns, which should not be seen by the
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// user when doing "SELECT *". We also disallow selecting them
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// individually (see column_identifier::new_selector_factory()).
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auto cds = boost::copy_range<std::vector<const column_definition*>>(
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columns |
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boost::adaptors::filtered([](const column_definition& c) {
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return !c.is_hidden_from_cql();
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}) |
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boost::adaptors::transformed([](const column_definition& c) {
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return &c;
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}));
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return simple_selection::make(schema, std::move(cds), true);
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}
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::shared_ptr<selection> selection::for_columns(schema_ptr schema, std::vector<const column_definition*> columns) {
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return simple_selection::make(schema, std::move(columns), false);
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}
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uint32_t selection::add_column_for_post_processing(const column_definition& c) {
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_columns.push_back(&c);
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_metadata->add_non_serialized_column(c.column_specification);
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return _columns.size() - 1;
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}
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::shared_ptr<selection> selection::from_selectors(data_dictionary::database db, schema_ptr schema, const sstring& ks, const std::vector<::shared_ptr<raw_selector>>& raw_selectors) {
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std::vector<const column_definition*> defs;
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::shared_ptr<selector_factories> factories =
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selector_factories::create_factories_and_collect_column_definitions(
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raw_selector::to_selectables(raw_selectors, *schema, db, ks), db, schema, defs);
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auto metadata = collect_metadata(*schema, raw_selectors, *factories);
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if (processes_selection(raw_selectors) || raw_selectors.size() != defs.size()) {
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return ::make_shared<selection_with_processing>(schema, std::move(defs), std::move(metadata), std::move(factories));
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} else {
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return ::make_shared<simple_selection>(schema, std::move(defs), std::move(metadata), false);
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}
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}
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std::vector<lw_shared_ptr<column_specification>>
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selection::collect_metadata(const schema& schema, const std::vector<::shared_ptr<raw_selector>>& raw_selectors,
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const selector_factories& factories) {
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std::vector<lw_shared_ptr<column_specification>> r;
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r.reserve(raw_selectors.size());
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auto i = raw_selectors.begin();
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for (auto&& factory : factories) {
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lw_shared_ptr<column_specification> col_spec = factory->get_column_specification(schema);
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::shared_ptr<column_identifier> alias = (*i++)->alias;
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r.push_back(alias ? col_spec->with_alias(alias) : col_spec);
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}
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return r;
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}
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result_set_builder::result_set_builder(const selection& s, gc_clock::time_point now,
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std::vector<size_t> group_by_cell_indices)
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: _result_set(std::make_unique<result_set>(::make_shared<metadata>(*(s.get_result_metadata()))))
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, _selectors(s.new_selectors())
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, _group_by_cell_indices(std::move(group_by_cell_indices))
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, _last_group(_group_by_cell_indices.size())
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, _group_began(false)
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, _now(now)
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{
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if (s._collect_timestamps) {
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_timestamps.resize(s._columns.size(), 0);
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}
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if (s._collect_TTLs) {
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_ttls.resize(s._columns.size(), 0);
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}
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}
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void result_set_builder::add_empty() {
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current->emplace_back();
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if (!_timestamps.empty()) {
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_timestamps[current->size() - 1] = api::missing_timestamp;
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}
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if (!_ttls.empty()) {
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_ttls[current->size() - 1] = -1;
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}
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}
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void result_set_builder::add(bytes_opt value) {
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current->emplace_back(std::move(value));
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}
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void result_set_builder::add(const column_definition& def, const query::result_atomic_cell_view& c) {
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current->emplace_back(get_value(def.type, c));
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if (!_timestamps.empty()) {
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_timestamps[current->size() - 1] = c.timestamp();
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}
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if (!_ttls.empty()) {
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gc_clock::duration ttl_left(-1);
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expiry_opt e = c.expiry();
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if (e) {
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ttl_left = *e - _now;
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}
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_ttls[current->size() - 1] = ttl_left.count();
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}
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}
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void result_set_builder::add_collection(const column_definition& def, bytes_view c) {
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current->emplace_back(to_bytes(c));
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// timestamps, ttls meaningless for collections
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}
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void result_set_builder::update_last_group() {
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_group_began = true;
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boost::transform(_group_by_cell_indices, _last_group.begin(), [this](size_t i) { return (*current)[i]; });
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}
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bool result_set_builder::last_group_ended() const {
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if (!_group_began) {
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return false;
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}
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if (_last_group.empty()) {
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return !_selectors->is_aggregate();
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}
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using boost::adaptors::reversed;
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using boost::adaptors::transformed;
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return !boost::equal(
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_last_group | reversed,
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_group_by_cell_indices | reversed | transformed([this](size_t i) { return (*current)[i]; }));
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}
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void result_set_builder::flush_selectors() {
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_result_set->add_row(_selectors->get_output_row());
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_selectors->reset();
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}
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void result_set_builder::process_current_row(bool more_rows_coming) {
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if (!current) {
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return;
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}
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if (last_group_ended()) {
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flush_selectors();
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}
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update_last_group();
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_selectors->add_input_row(*this);
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if (more_rows_coming) {
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current->clear();
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} else {
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flush_selectors();
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}
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}
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void result_set_builder::new_row() {
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process_current_row(/*more_rows_coming=*/true);
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// FIXME: we use optional<> here because we don't have an end_row() signal
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// instead, !current means that new_row has never been called, so this
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// call to new_row() does not end a previous row.
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current.emplace();
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}
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std::unique_ptr<result_set> result_set_builder::build() {
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process_current_row(/*more_rows_coming=*/false);
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if (_result_set->empty() && _selectors->is_aggregate()) {
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_result_set->add_row(_selectors->get_output_row());
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}
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return std::move(_result_set);
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}
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result_set_builder::restrictions_filter::restrictions_filter(::shared_ptr<const restrictions::statement_restrictions> restrictions,
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const query_options& options,
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uint64_t remaining,
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schema_ptr schema,
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uint64_t per_partition_limit,
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std::optional<partition_key> last_pkey,
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uint64_t rows_fetched_for_last_partition)
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: _restrictions(restrictions)
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, _options(options)
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, _skip_pk_restrictions(!_restrictions->pk_restrictions_need_filtering())
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, _skip_ck_restrictions(!_restrictions->ck_restrictions_need_filtering())
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, _remaining(remaining)
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, _schema(schema)
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, _per_partition_limit(per_partition_limit)
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, _per_partition_remaining(_per_partition_limit)
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, _rows_fetched_for_last_partition(rows_fetched_for_last_partition)
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, _last_pkey(std::move(last_pkey))
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{ }
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bool result_set_builder::restrictions_filter::do_filter(const selection& selection,
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const std::vector<bytes>& partition_key,
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const std::vector<bytes>& clustering_key,
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const query::result_row_view& static_row,
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const query::result_row_view* row) const {
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static logging::logger rlogger("restrictions_filter");
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if (_current_partition_key_does_not_match || _current_static_row_does_not_match || _remaining == 0 || _per_partition_remaining == 0) {
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return false;
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}
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const expr::expression& clustering_columns_restrictions = _restrictions->get_clustering_columns_restrictions();
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if (expr::contains_multi_column_restriction(clustering_columns_restrictions)) {
|
|
clustering_key_prefix ckey = clustering_key_prefix::from_exploded(clustering_key);
|
|
// FIXME: push to upper layer so it happens once per row
|
|
auto static_and_regular_columns = expr::get_non_pk_values(selection, static_row, row);
|
|
bool multi_col_clustering_satisfied = expr::is_satisfied_by(
|
|
clustering_columns_restrictions,
|
|
expr::evaluation_inputs{
|
|
.partition_key = partition_key,
|
|
.clustering_key = clustering_key,
|
|
.static_and_regular_columns = static_and_regular_columns,
|
|
.selection = &selection,
|
|
.options = &_options,
|
|
});
|
|
if (!multi_col_clustering_satisfied) {
|
|
return false;
|
|
}
|
|
}
|
|
|
|
auto static_row_iterator = static_row.iterator();
|
|
auto row_iterator = row ? std::optional<query::result_row_view::iterator_type>(row->iterator()) : std::nullopt;
|
|
const expr::single_column_restrictions_map& non_pk_restrictions_map = _restrictions->get_non_pk_restriction();
|
|
for (auto&& cdef : selection.get_columns()) {
|
|
switch (cdef->kind) {
|
|
case column_kind::static_column:
|
|
// fallthrough
|
|
case column_kind::regular_column: {
|
|
if (cdef->kind == column_kind::regular_column && !row_iterator) {
|
|
continue;
|
|
}
|
|
auto restr_it = non_pk_restrictions_map.find(cdef);
|
|
if (restr_it == non_pk_restrictions_map.end()) {
|
|
continue;
|
|
}
|
|
const expr::expression& single_col_restriction = restr_it->second;
|
|
// FIXME: push to upper layer so it happens once per row
|
|
auto static_and_regular_columns = expr::get_non_pk_values(selection, static_row, row);
|
|
bool regular_restriction_matches = expr::is_satisfied_by(
|
|
single_col_restriction,
|
|
expr::evaluation_inputs{
|
|
.partition_key = partition_key,
|
|
.clustering_key = clustering_key,
|
|
.static_and_regular_columns = static_and_regular_columns,
|
|
.selection = &selection,
|
|
.options = &_options,
|
|
});
|
|
if (!regular_restriction_matches) {
|
|
_current_static_row_does_not_match = (cdef->kind == column_kind::static_column);
|
|
return false;
|
|
}
|
|
}
|
|
break;
|
|
case column_kind::partition_key: {
|
|
if (_skip_pk_restrictions) {
|
|
continue;
|
|
}
|
|
auto partition_key_restrictions_map = _restrictions->get_single_column_partition_key_restrictions();
|
|
auto restr_it = partition_key_restrictions_map.find(cdef);
|
|
if (restr_it == partition_key_restrictions_map.end()) {
|
|
continue;
|
|
}
|
|
const expr::expression& single_col_restriction = restr_it->second;
|
|
if (!expr::is_satisfied_by(
|
|
single_col_restriction,
|
|
expr::evaluation_inputs{
|
|
.partition_key = partition_key,
|
|
.clustering_key = clustering_key,
|
|
.static_and_regular_columns = {}, // partition key filtering only
|
|
.selection = &selection,
|
|
.options = &_options,
|
|
})) {
|
|
_current_partition_key_does_not_match = true;
|
|
return false;
|
|
}
|
|
}
|
|
break;
|
|
case column_kind::clustering_key: {
|
|
if (_skip_ck_restrictions) {
|
|
continue;
|
|
}
|
|
const expr::single_column_restrictions_map& clustering_key_restrictions_map =
|
|
_restrictions->get_single_column_clustering_key_restrictions();
|
|
auto restr_it = clustering_key_restrictions_map.find(cdef);
|
|
if (restr_it == clustering_key_restrictions_map.end()) {
|
|
continue;
|
|
}
|
|
if (clustering_key.empty()) {
|
|
return false;
|
|
}
|
|
const expr::expression& single_col_restriction = restr_it->second;
|
|
if (!expr::is_satisfied_by(
|
|
single_col_restriction,
|
|
expr::evaluation_inputs{
|
|
.partition_key = partition_key,
|
|
.clustering_key = clustering_key,
|
|
.static_and_regular_columns = {}, // clustering key checks only
|
|
.selection = &selection,
|
|
.options = &_options,
|
|
})) {
|
|
return false;
|
|
}
|
|
}
|
|
break;
|
|
default:
|
|
break;
|
|
}
|
|
}
|
|
return true;
|
|
}
|
|
|
|
bool result_set_builder::restrictions_filter::operator()(const selection& selection,
|
|
const std::vector<bytes>& partition_key,
|
|
const std::vector<bytes>& clustering_key,
|
|
const query::result_row_view& static_row,
|
|
const query::result_row_view* row) const {
|
|
const bool accepted = do_filter(selection, partition_key, clustering_key, static_row, row);
|
|
if (!accepted) {
|
|
++_rows_dropped;
|
|
} else {
|
|
if (_remaining > 0) {
|
|
--_remaining;
|
|
}
|
|
if (_per_partition_remaining > 0) {
|
|
--_per_partition_remaining;
|
|
}
|
|
}
|
|
return accepted;
|
|
}
|
|
|
|
void result_set_builder::restrictions_filter::reset(const partition_key* key) {
|
|
_current_partition_key_does_not_match = false;
|
|
_current_static_row_does_not_match = false;
|
|
_rows_dropped = 0;
|
|
_per_partition_remaining = _per_partition_limit;
|
|
if (_is_first_partition_on_page && _per_partition_limit < std::numeric_limits<decltype(_per_partition_limit)>::max()) {
|
|
// If any rows related to this key were also present in the previous query,
|
|
// we need to take it into account as well.
|
|
if (key && _last_pkey && _last_pkey->equal(*_schema, *key)) {
|
|
_per_partition_remaining -= _rows_fetched_for_last_partition;
|
|
}
|
|
_is_first_partition_on_page = false;
|
|
}
|
|
}
|
|
|
|
api::timestamp_type result_set_builder::timestamp_of(size_t idx) {
|
|
return _timestamps[idx];
|
|
}
|
|
|
|
int32_t result_set_builder::ttl_of(size_t idx) {
|
|
return _ttls[idx];
|
|
}
|
|
|
|
bytes_opt result_set_builder::get_value(data_type t, query::result_atomic_cell_view c) {
|
|
return {c.value().linearize()};
|
|
}
|
|
|
|
}
|
|
|
|
}
|