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@@ -32,10 +32,13 @@
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#include "token_restriction.hh"
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#include "database.hh"
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#include "cql3/single_column_relation.hh"
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#include "cql3/constants.hh"
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#include "types/map.hh"
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#include "cql3/lists.hh"
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#include "cql3/selection/selection.hh"
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#include "cql3/single_column_relation.hh"
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#include "cql3/tuples.hh"
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#include "types/list.hh"
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#include "types/map.hh"
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#include "types/set.hh"
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namespace cql3 {
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@@ -1003,5 +1006,791 @@ void single_column_restriction::LIKE::merge_with(::shared_ptr<restriction> rest)
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return r;
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}
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namespace {
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using children_t = std::vector<expression>; // conjunction's children.
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children_t explode_conjunction(expression e) {
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return std::visit(overloaded_functor{
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[] (const conjunction& c) { return std::move(c.children); },
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[&] (const auto&) { return children_t{std::move(e)}; },
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}, e);
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}
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using cql3::selection::selection;
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/// Serialized values for all types of cells, plus selection (to find a column's index) and options (for
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/// subscript term's value).
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struct row_data_from_partition_slice {
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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 std::vector<bytes_opt>& other_columns;
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const selection& sel;
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};
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/// Data used to derive cell values from a mutation.
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struct row_data_from_mutation {
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// Underscores avoid name clashes.
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const partition_key& partition_key_;
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const clustering_key_prefix& clustering_key_;
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const row& other_columns;
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const schema& schema_;
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gc_clock::time_point now;
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};
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/// Everything needed to compute column values during restriction evaluation.
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struct column_value_eval_bag {
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const query_options& options; // For evaluating subscript terms.
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std::variant<row_data_from_partition_slice, row_data_from_mutation> row_data;
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};
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/// Returns col's value from queried data.
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bytes_opt get_value_from_partition_slice(
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const column_value& col, row_data_from_partition_slice data, const query_options& options) {
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auto cdef = col.col;
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if (col.sub) {
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auto col_type = static_pointer_cast<const collection_type_impl>(cdef->type);
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if (!col_type->is_map()) {
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throw exceptions::invalid_request_exception(format("subscripting non-map column {}", cdef->name_as_text()));
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}
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const auto deserialized = cdef->type->deserialize(*data.other_columns[data.sel.index_of(*cdef)]);
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const auto& data_map = value_cast<map_type_impl::native_type>(deserialized);
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const auto key = col.sub->bind_and_get(options);
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auto&& key_type = col_type->name_comparator();
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const auto found = with_linearized(*key, [&] (bytes_view key_bv) {
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using entry = std::pair<data_value, data_value>;
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return std::find_if(data_map.cbegin(), data_map.cend(), [&] (const entry& element) {
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return key_type->compare(element.first.serialize_nonnull(), key_bv) == 0;
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});
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});
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return found == data_map.cend() ? bytes_opt() : bytes_opt(found->second.serialize_nonnull());
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} else {
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switch (cdef->kind) {
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case column_kind::partition_key:
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return data.partition_key[cdef->id];
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case column_kind::clustering_key:
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return data.clustering_key[cdef->id];
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case column_kind::static_column:
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case column_kind::regular_column:
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return data.other_columns[data.sel.index_of(*cdef)];
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default:
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throw exceptions::unsupported_operation_exception("Unknown column kind");
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}
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}
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}
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/// Returns col's value from a mutation.
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bytes_opt get_value_from_mutation(const column_value& col, row_data_from_mutation data) {
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const auto v = do_get_value(
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data.schema_, *col.col, data.partition_key_, data.clustering_key_, data.other_columns, data.now);
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return v ? v->linearize() : bytes_opt();
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}
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/// Returns col's value from the fetched data.
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bytes_opt get_value(const column_value& col, const column_value_eval_bag& bag) {
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using std::placeholders::_1;
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return std::visit(overloaded_functor{
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std::bind(get_value_from_mutation, col, _1),
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std::bind(get_value_from_partition_slice, col, _1, bag.options),
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}, bag.row_data);
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}
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/// Type for comparing results of get_value().
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const abstract_type* get_value_comparator(const column_definition* cdef) {
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return cdef->type->is_reversed() ? cdef->type->underlying_type().get() : cdef->type.get();
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}
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/// Type for comparing results of get_value().
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const abstract_type* get_value_comparator(const column_value& cv) {
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return cv.sub ? static_pointer_cast<const collection_type_impl>(cv.col->type)->value_comparator().get()
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: get_value_comparator(cv.col);
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}
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/// If t represents a tuple value, returns that value. Otherwise, null.
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///
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/// Useful for checking binary_operator::rhs, which packs multiple values into a single term when lhs is itself
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/// a tuple. NOT useful for the IN operator, whose rhs is either a list or tuples::in_value.
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::shared_ptr<tuples::value> get_tuple(term& t, const query_options& opts) {
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return dynamic_pointer_cast<tuples::value>(t.bind(opts));
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}
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/// True iff lhs's value equals rhs.
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bool equal(const bytes_opt& rhs, const column_value& lhs, const column_value_eval_bag& bag) {
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if (!rhs) {
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return false;
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}
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const auto value = get_value(lhs, bag);
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if (!value) {
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return false;
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}
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return get_value_comparator(lhs)->equal(*value, *rhs);
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}
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/// True iff columns' values equal t.
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bool equal(::shared_ptr<term> t, const std::vector<column_value>& columns, const column_value_eval_bag& bag) {
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if (columns.size() > 1) {
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const auto tup = get_tuple(*t, bag.options);
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if (!tup) {
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throw exceptions::invalid_request_exception("multi-column equality has right-hand side that isn't a tuple");
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}
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const auto& rhs = tup->get_elements();
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if (rhs.size() != columns.size()) {
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throw exceptions::invalid_request_exception(
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format("tuple equality size mismatch: {} elements on left-hand side, {} on right",
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columns.size(), rhs.size()));
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}
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return boost::equal(rhs, columns, [&] (const bytes_opt& rhs, const column_value& lhs) {
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return equal(rhs, lhs, bag);
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});
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} else if (columns.size() == 1) {
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const auto tup = get_tuple(*t, bag.options);
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if (tup && tup->size() == 1) {
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// Assume this is an external query WHERE (ck1)=(123), rather than an internal query WHERE
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// col=(123), because internal queries have no reason to use single-element tuples.
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//
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// TODO: make the two cases distinguishable.
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return equal(tup->get_elements()[0], columns[0], bag);
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}
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return equal(to_bytes_opt(t->bind_and_get(bag.options)), columns[0], bag);
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} else {
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throw std::logic_error("empty tuple on LHS of =");
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}
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}
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/// True iff lhs is limited by rhs in the manner prescribed by op.
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bool limits(bytes_view lhs, const operator_type& op, bytes_view rhs, const abstract_type& type) {
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if (!op.is_compare()) {
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throw std::logic_error("limits() called on non-compare op");
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}
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const auto cmp = type.compare(lhs, rhs);
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if (cmp < 0) {
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return op == operator_type::LT || op == operator_type::LTE || op == operator_type::NEQ;
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} else if (cmp > 0) {
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return op == operator_type::GT || op == operator_type::GTE || op == operator_type::NEQ;
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} else {
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return op == operator_type::LTE || op == operator_type::GTE || op == operator_type::EQ;
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}
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}
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/// True iff the value of opr.lhs (which must be column_values) is limited by opr.rhs in the manner prescribed
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/// by opr.op.
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bool limits(const binary_operator& opr, const column_value_eval_bag& bag) {
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if (!opr.op->is_slice()) { // For EQ or NEQ, use equal().
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throw std::logic_error("limits() called on non-slice op");
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}
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const auto& columns = std::get<0>(opr.lhs);
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if (columns.size() > 1) {
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const auto tup = get_tuple(*opr.rhs, bag.options);
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if (!tup) {
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throw exceptions::invalid_request_exception("multi-column comparison has right-hand side that isn't a tuple");
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}
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const auto& rhs = tup->get_elements();
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if (rhs.size() != columns.size()) {
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throw exceptions::invalid_request_exception(
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format("tuple comparison size mismatch: {} elements on left-hand side, {} on right",
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columns.size(), rhs.size()));
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}
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for (size_t i = 0; i < rhs.size(); ++i) {
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const auto cmp = get_value_comparator(columns[i])->compare(
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// CQL dictates that columns[i] is a clustering column and non-null.
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*get_value(columns[i], bag),
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*rhs[i]);
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// If the components aren't equal, then we just learned the LHS/RHS order.
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if (cmp < 0) {
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if (*opr.op == operator_type::LT || *opr.op == operator_type::LTE) {
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return true;
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} else if (*opr.op == operator_type::GT || *opr.op == operator_type::GTE) {
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return false;
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} else {
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throw std::logic_error("Unknown slice operator");
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}
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} else if (cmp > 0) {
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if (*opr.op == operator_type::LT || *opr.op == operator_type::LTE) {
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return false;
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} else if (*opr.op == operator_type::GT || *opr.op == operator_type::GTE) {
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return true;
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} else {
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throw std::logic_error("Unknown slice operator");
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}
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}
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// Otherwise, we don't know the LHS/RHS order, so check the next component.
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}
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// Getting here means LHS == RHS.
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return *opr.op == operator_type::LTE || *opr.op == operator_type::GTE;
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} else if (columns.size() == 1) {
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auto lhs = get_value(columns[0], bag);
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if (!lhs) {
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lhs = bytes(); // Compatible with old code, which feeds null to type comparators.
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}
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const auto tup = get_tuple(*opr.rhs, bag.options);
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auto rhs = (tup && tup->size() == 1) ? tup->get_elements()[0] // Assume an external query WHERE (ck1)>(123).
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: to_bytes_opt(opr.rhs->bind_and_get(bag.options));
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if (!rhs) {
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return false;
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}
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return limits(*lhs, *opr.op, *rhs, *get_value_comparator(columns[0]));
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} else {
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throw std::logic_error("empty tuple on LHS of an inequality");
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}
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}
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/// True iff collection (list, set, or map) contains value.
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bool contains(const data_value& collection, const raw_value_view& value) {
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if (!value) {
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return true; // Compatible with old code, which skips null terms in value comparisons.
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}
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auto col_type = static_pointer_cast<const collection_type_impl>(collection.type());
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auto&& element_type = col_type->is_set() ? col_type->name_comparator() : col_type->value_comparator();
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return with_linearized(*value, [&] (bytes_view val) {
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auto exists_in = [&](auto&& range) {
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auto found = std::find_if(range.begin(), range.end(), [&] (auto&& element) {
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return element_type->compare(element.serialize_nonnull(), val) == 0;
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});
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return found != range.end();
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};
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if (col_type->is_list()) {
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return exists_in(value_cast<list_type_impl::native_type>(collection));
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} else if (col_type->is_set()) {
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return exists_in(value_cast<set_type_impl::native_type>(collection));
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} else if (col_type->is_map()) {
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auto data_map = value_cast<map_type_impl::native_type>(collection);
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using entry = std::pair<data_value, data_value>;
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return exists_in(data_map | transformed([] (const entry& e) { return e.second; }));
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} else {
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throw std::logic_error("unsupported collection type in a CONTAINS expression");
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}
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});
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}
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/// True iff columns is a single collection containing value.
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bool contains(const raw_value_view& value, const std::vector<column_value>& columns, const column_value_eval_bag& bag) {
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if (columns.size() != 1) {
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throw exceptions::unsupported_operation_exception("tuple CONTAINS not allowed");
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}
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if (columns[0].sub) {
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throw exceptions::unsupported_operation_exception("CONTAINS lhs is subscripted");
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}
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const auto collection = get_value(columns[0], bag);
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if (collection) {
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return contains(columns[0].col->type->deserialize(*collection), value);
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} else {
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return false;
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
/// True iff \p columns has a single element that's a map containing \p key.
|
|
|
|
|
bool contains_key(const std::vector<column_value>& columns, cql3::raw_value_view key, const column_value_eval_bag& bag) {
|
|
|
|
|
if (columns.size() != 1) {
|
|
|
|
|
throw exceptions::unsupported_operation_exception("CONTAINS KEY on a tuple");
|
|
|
|
|
}
|
|
|
|
|
if (columns[0].sub) {
|
|
|
|
|
throw exceptions::unsupported_operation_exception("CONTAINS KEY lhs is subscripted");
|
|
|
|
|
}
|
|
|
|
|
if (!key) {
|
|
|
|
|
return true; // Compatible with old code, which skips null terms in key comparisons.
|
|
|
|
|
}
|
|
|
|
|
auto cdef = columns[0].col;
|
|
|
|
|
const auto collection = get_value(columns[0], bag);
|
|
|
|
|
if (!collection) {
|
|
|
|
|
return false;
|
|
|
|
|
}
|
|
|
|
|
const auto data_map = value_cast<map_type_impl::native_type>(cdef->type->deserialize(*collection));
|
|
|
|
|
auto key_type = static_pointer_cast<const collection_type_impl>(cdef->type)->name_comparator();
|
|
|
|
|
auto found = with_linearized(*key, [&] (bytes_view k_bv) {
|
|
|
|
|
using entry = std::pair<data_value, data_value>;
|
|
|
|
|
return std::find_if(data_map.begin(), data_map.end(), [&] (const entry& element) {
|
|
|
|
|
return key_type->compare(element.first.serialize_nonnull(), k_bv) == 0;
|
|
|
|
|
});
|
|
|
|
|
});
|
|
|
|
|
return found != data_map.end();
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
/// Fetches the next cell value from iter and returns its (possibly null) value.
|
|
|
|
|
bytes_opt next_value(query::result_row_view::iterator_type& iter, const column_definition* cdef) {
|
|
|
|
|
if (cdef->type->is_multi_cell()) {
|
|
|
|
|
auto cell = iter.next_collection_cell();
|
|
|
|
|
if (cell) {
|
|
|
|
|
return cell->with_linearized([] (bytes_view data) {
|
|
|
|
|
return bytes(data.cbegin(), data.cend());
|
|
|
|
|
});
|
|
|
|
|
}
|
|
|
|
|
} else {
|
|
|
|
|
auto cell = iter.next_atomic_cell();
|
|
|
|
|
if (cell) {
|
|
|
|
|
return cell->value().with_linearized([] (bytes_view data) {
|
|
|
|
|
return bytes(data.cbegin(), data.cend());
|
|
|
|
|
});
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
return std::nullopt;
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
/// Returns values of non-primary-key columns from selection. The kth element of the result
|
|
|
|
|
/// corresponds to the kth column in selection.
|
|
|
|
|
std::vector<bytes_opt> get_non_pk_values(const selection& selection, const query::result_row_view& static_row,
|
|
|
|
|
const query::result_row_view* row) {
|
|
|
|
|
const auto& cols = selection.get_columns();
|
|
|
|
|
std::vector<bytes_opt> vals(cols.size());
|
|
|
|
|
auto static_row_iterator = static_row.iterator();
|
|
|
|
|
auto row_iterator = row ? std::optional<query::result_row_view::iterator_type>(row->iterator()) : std::nullopt;
|
|
|
|
|
for (size_t i = 0; i < cols.size(); ++i) {
|
|
|
|
|
switch (cols[i]->kind) {
|
|
|
|
|
case column_kind::static_column:
|
|
|
|
|
vals[i] = next_value(static_row_iterator, cols[i]);
|
|
|
|
|
break;
|
|
|
|
|
case column_kind::regular_column:
|
|
|
|
|
if (row) {
|
|
|
|
|
vals[i] = next_value(*row_iterator, cols[i]);
|
|
|
|
|
}
|
|
|
|
|
break;
|
|
|
|
|
default: // Skip.
|
|
|
|
|
break;
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
return vals;
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
/// True iff cv matches the CQL LIKE pattern.
|
|
|
|
|
bool like(const column_value& cv, const bytes_opt& pattern, const column_value_eval_bag& bag) {
|
|
|
|
|
if (!cv.col->type->is_string()) {
|
|
|
|
|
throw exceptions::invalid_request_exception(
|
|
|
|
|
format("LIKE is allowed only on string types, which {} is not", cv.col->name_as_text()));
|
|
|
|
|
}
|
|
|
|
|
auto value = get_value(cv, bag);
|
|
|
|
|
// TODO: reuse matchers.
|
|
|
|
|
return (pattern && value) ? like_matcher(*pattern)(*value) : false;
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
/// True iff columns' values match rhs pattern(s) as defined by CQL LIKE.
|
|
|
|
|
bool like(const std::vector<column_value>& columns, term& rhs, const column_value_eval_bag& bag) {
|
|
|
|
|
if (columns.size() > 1) {
|
|
|
|
|
if (const auto tup = get_tuple(rhs, bag.options)) {
|
|
|
|
|
const auto& elements = tup->get_elements();
|
|
|
|
|
if (elements.size() != columns.size()) {
|
|
|
|
|
throw exceptions::invalid_request_exception(
|
|
|
|
|
format("LIKE tuple size mismatch: {} elements on left-hand side, {} on right",
|
|
|
|
|
columns.size(), elements.size()));
|
|
|
|
|
}
|
|
|
|
|
return boost::equal(columns, elements, [&] (const column_value& cv, const bytes_opt& pattern) {
|
|
|
|
|
return like(cv, pattern, bag);
|
|
|
|
|
});
|
|
|
|
|
} else {
|
|
|
|
|
throw exceptions::invalid_request_exception("multi-column LIKE has right-hand side that isn't a tuple");
|
|
|
|
|
}
|
|
|
|
|
} else if (columns.size() == 1) {
|
|
|
|
|
return like(columns[0], to_bytes_opt(rhs.bind_and_get(bag.options)), bag);
|
|
|
|
|
} else {
|
|
|
|
|
throw exceptions::invalid_request_exception("empty tuple on left-hand side of LIKE");
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
/// True iff the tuple of column values is in the set defined by rhs.
|
|
|
|
|
bool is_one_of(const std::vector<column_value>& cvs, term& rhs, const column_value_eval_bag& bag) {
|
|
|
|
|
// RHS is prepared differently for different CQL cases. Cast it dynamically to discern which case this is.
|
|
|
|
|
if (auto dv = dynamic_cast<lists::delayed_value*>(&rhs)) {
|
|
|
|
|
// This is either `a IN (1,2,3)` or `(a,b) IN ((1,1),(2,2),(3,3))`. RHS elements are themselves terms.
|
|
|
|
|
return boost::algorithm::any_of(dv->get_elements(), [&] (const ::shared_ptr<term>& t) {
|
|
|
|
|
return equal(t, cvs, bag);
|
|
|
|
|
});
|
|
|
|
|
} else if (auto mkr = dynamic_cast<lists::marker*>(&rhs)) {
|
|
|
|
|
// This is `a IN ?`. RHS elements are values representable as bytes_opt.
|
|
|
|
|
if (cvs.size() != 1) {
|
|
|
|
|
throw std::logic_error("too many columns for lists::marker in is_one_of");
|
|
|
|
|
}
|
|
|
|
|
const auto values = static_pointer_cast<lists::value>(mkr->bind(bag.options));
|
|
|
|
|
return boost::algorithm::any_of(values->get_elements(), [&] (const bytes_opt& b) {
|
|
|
|
|
return equal(b, cvs[0], bag);
|
|
|
|
|
});
|
|
|
|
|
} else if (auto mkr = dynamic_cast<tuples::in_marker*>(&rhs)) {
|
|
|
|
|
// This is `(a,b) IN ?`. RHS elements are themselves tuples, represented as vector<bytes_opt>.
|
|
|
|
|
const auto marker_value = static_pointer_cast<tuples::in_value>(mkr->bind(bag.options));
|
|
|
|
|
return boost::algorithm::any_of(marker_value->get_split_values(), [&] (const std::vector<bytes_opt>& el) {
|
|
|
|
|
return boost::equal(cvs, el, [&] (const column_value& c, const bytes_opt& b) {
|
|
|
|
|
return equal(b, c, bag);
|
|
|
|
|
});
|
|
|
|
|
});
|
|
|
|
|
}
|
|
|
|
|
throw std::logic_error("unexpected term type in is_one_of");
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
/// True iff op means bnd type of bound.
|
|
|
|
|
bool matches(const operator_type* op, statements::bound bnd) {
|
|
|
|
|
static const std::vector<std::vector<const operator_type*>> operators{
|
|
|
|
|
{&operator_type::EQ, &operator_type::GT, &operator_type::GTE}, // These mean a lower bound.
|
|
|
|
|
{&operator_type::EQ, &operator_type::LT, &operator_type::LTE}, // These mean an upper bound.
|
|
|
|
|
};
|
|
|
|
|
const auto zero_if_lower_one_if_upper = get_idx(bnd);
|
|
|
|
|
return boost::algorithm::any_of_equal(operators[zero_if_lower_one_if_upper], op);
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
const value_set empty_value_set = value_list{};
|
|
|
|
|
const value_set unbounded_value_set = nonwrapping_range<bytes>::make_open_ended_both_sides();
|
|
|
|
|
|
|
|
|
|
struct intersection_visitor {
|
|
|
|
|
const abstract_type* type;
|
|
|
|
|
value_set operator()(const value_list& a, const value_list& b) const {
|
|
|
|
|
value_list common;
|
|
|
|
|
common.reserve(std::max(a.size(), b.size()));
|
|
|
|
|
boost::set_intersection(a, b, back_inserter(common), type->as_less_comparator());
|
|
|
|
|
return std::move(common);
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
value_set operator()(const nonwrapping_range<bytes>& a, const value_list& b) const {
|
|
|
|
|
const auto common = b | filtered([&] (const bytes& el) { return a.contains(el, type->as_tri_comparator()); });
|
|
|
|
|
return value_list(common.begin(), common.end());
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
value_set operator()(const value_list& a, const nonwrapping_range<bytes>& b) const {
|
|
|
|
|
return (*this)(b, a);
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
value_set operator()(const nonwrapping_range<bytes>& a, const nonwrapping_range<bytes>& b) const {
|
|
|
|
|
const auto common_range = a.intersection(b, type->as_tri_comparator());
|
|
|
|
|
return common_range ? *common_range : empty_value_set;
|
|
|
|
|
}
|
|
|
|
|
};
|
|
|
|
|
|
|
|
|
|
value_set intersection(value_set a, value_set b, const abstract_type* type) {
|
|
|
|
|
return std::visit(intersection_visitor{type}, std::move(a), std::move(b));
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
bool is_satisfied_by(const binary_operator& opr, const column_value_eval_bag& bag) {
|
|
|
|
|
return std::visit(overloaded_functor{
|
|
|
|
|
[&] (const std::vector<column_value>& cvs) {
|
|
|
|
|
if (*opr.op == operator_type::EQ) {
|
|
|
|
|
return equal(opr.rhs, cvs, bag);
|
|
|
|
|
} else if (*opr.op == operator_type::NEQ) {
|
|
|
|
|
return !equal(opr.rhs, cvs, bag);
|
|
|
|
|
} else if (opr.op->is_slice()) {
|
|
|
|
|
return limits(opr, bag);
|
|
|
|
|
} else if (*opr.op == operator_type::CONTAINS) {
|
|
|
|
|
return contains(opr.rhs->bind_and_get(bag.options), cvs, bag);
|
|
|
|
|
} else if (*opr.op == operator_type::CONTAINS_KEY) {
|
|
|
|
|
return contains_key(cvs, opr.rhs->bind_and_get(bag.options), bag);
|
|
|
|
|
} else if (*opr.op == operator_type::LIKE) {
|
|
|
|
|
return like(cvs, *opr.rhs, bag);
|
|
|
|
|
} else if (*opr.op == operator_type::IN) {
|
|
|
|
|
return is_one_of(cvs, *opr.rhs, bag);
|
|
|
|
|
} else {
|
|
|
|
|
throw exceptions::unsupported_operation_exception("Unhandled binary_operator");
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
[] (const token& tok) -> bool {
|
|
|
|
|
// The RHS value was already used to ensure we fetch only rows in the specified
|
|
|
|
|
// token range. It is impossible for any fetched row not to match now.
|
|
|
|
|
return true;
|
|
|
|
|
},
|
|
|
|
|
}, opr.lhs);
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
bool is_satisfied_by(const expression& restr, const column_value_eval_bag& bag) {
|
|
|
|
|
return std::visit(overloaded_functor{
|
|
|
|
|
[&] (bool v) { return v; },
|
|
|
|
|
[&] (const conjunction& conj) {
|
|
|
|
|
return boost::algorithm::all_of(conj.children, [&] (const expression& c) {
|
|
|
|
|
return is_satisfied_by(c, bag);
|
|
|
|
|
});
|
|
|
|
|
},
|
|
|
|
|
[&] (const binary_operator& opr) { return is_satisfied_by(opr, bag); },
|
|
|
|
|
}, restr);
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
/// If t is a tuple, binds and gets its k-th element. Otherwise, binds and gets t's whole value.
|
|
|
|
|
bytes_opt get_kth(size_t k, const query_options& options, const ::shared_ptr<term>& t) {
|
|
|
|
|
auto bound = t->bind(options);
|
|
|
|
|
if (auto tup = dynamic_pointer_cast<tuples::value>(bound)) {
|
|
|
|
|
return tup->get_elements()[k];
|
|
|
|
|
} else {
|
|
|
|
|
assert(k == 0 && "non-tuple RHS for multi-column IN");
|
|
|
|
|
return to_bytes_opt(bound->get(options));
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
template<typename Range>
|
|
|
|
|
value_list to_sorted_vector(const Range& r, const serialized_compare& comparator) {
|
|
|
|
|
value_list tmp(r.begin(), r.end()); // Need random-access range to sort (r is not necessarily random-access).
|
|
|
|
|
const auto unique = boost::unique(boost::sort(tmp, comparator));
|
|
|
|
|
return value_list(unique.begin(), unique.end());
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
/// Returns possible values for k-th column from t, which must be RHS of IN.
|
|
|
|
|
value_list get_IN_values(const ::shared_ptr<term>& t, size_t k, const query_options& options,
|
|
|
|
|
const serialized_compare& comparator) {
|
|
|
|
|
const auto non_null = filtered([] (const bytes_opt& b) { return b.has_value(); });
|
|
|
|
|
const auto deref = transformed([] (const bytes_opt& b) { return b.value(); });
|
|
|
|
|
// RHS is prepared differently for different CQL cases. Cast it dynamically to discern which case this is.
|
|
|
|
|
if (auto dv = dynamic_pointer_cast<lists::delayed_value>(t)) {
|
|
|
|
|
// Case `a IN (1,2,3)` or `(a,b) in ((1,1),(2,2),(3,3)). Get kth value from each term element.
|
|
|
|
|
const auto result_range = dv->get_elements()
|
|
|
|
|
| transformed(std::bind_front(get_kth, k, options)) | non_null | deref;
|
|
|
|
|
return to_sorted_vector(result_range, comparator);
|
|
|
|
|
} else if (auto mkr = dynamic_pointer_cast<lists::marker>(t)) {
|
|
|
|
|
// Case `a IN ?`. Collect all list-element values.
|
|
|
|
|
assert(k == 0 && "lists::marker is for single-column IN");
|
|
|
|
|
const auto val = static_pointer_cast<lists::value>(mkr->bind(options));
|
|
|
|
|
return to_sorted_vector(val->get_elements() | non_null | deref, comparator);
|
|
|
|
|
} else if (auto mkr = dynamic_pointer_cast<tuples::in_marker>(t)) {
|
|
|
|
|
// Case `(a,b) IN ?`. Get kth value from each vector<bytes> element.
|
|
|
|
|
const auto val = static_pointer_cast<tuples::in_value>(mkr->bind(options));
|
|
|
|
|
const auto result_range = val->get_split_values()
|
|
|
|
|
| transformed([k] (const std::vector<bytes_opt>& v) { return v[k]; }) | non_null | deref;
|
|
|
|
|
return to_sorted_vector(result_range, comparator);
|
|
|
|
|
}
|
|
|
|
|
throw std::logic_error(format("get_IN_values on invalid term {}", *t));
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
} // anonymous namespace
|
|
|
|
|
|
|
|
|
|
expression make_conjunction(expression a, expression b) {
|
|
|
|
|
auto children = explode_conjunction(std::move(a));
|
|
|
|
|
boost::copy(explode_conjunction(std::move(b)), back_inserter(children));
|
|
|
|
|
return conjunction{std::move(children)};
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
bool is_satisfied_by(
|
|
|
|
|
const expression& restr,
|
|
|
|
|
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,
|
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const selection& selection, const query_options& options) {
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const auto regulars = get_non_pk_values(selection, static_row, row);
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return is_satisfied_by(
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restr, {options, row_data_from_partition_slice{partition_key, clustering_key, regulars, selection}});
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}
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bool is_satisfied_by(
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const expression& restr,
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const schema& schema, const partition_key& key, const clustering_key_prefix& ckey, const row& cells,
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const query_options& options, gc_clock::time_point now) {
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return is_satisfied_by(restr, {options, row_data_from_mutation{key, ckey, cells, schema, now}});
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}
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std::vector<bytes_opt> first_multicolumn_bound(
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const expression& restr, const query_options& options, statements::bound bnd) {
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auto found = find_if(restr, [bnd] (const binary_operator& oper) {
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return matches(oper.op, bnd) && std::holds_alternative<std::vector<column_value>>(oper.lhs);
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});
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if (found) {
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return static_pointer_cast<tuples::value>(found->rhs->bind(options))->get_elements();
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} else {
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return std::vector<bytes_opt>{};
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}
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}
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value_set possible_lhs_values(const column_definition* cdef, const expression& expr, const query_options& options) {
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const auto type = cdef ? get_value_comparator(cdef) : long_type.get();
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return std::visit(overloaded_functor{
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[] (bool b) {
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return b ? unbounded_value_set : empty_value_set;
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},
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[&] (const conjunction& conj) {
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return boost::accumulate(conj.children, unbounded_value_set,
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[&] (const value_set& acc, const expression& child) {
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return intersection(
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std::move(acc), possible_lhs_values(cdef, child, options), type);
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});
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},
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[&] (const binary_operator& oper) -> value_set {
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static constexpr bool inclusive = true, exclusive = false;
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return std::visit(overloaded_functor{
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[&] (const std::vector<column_value>& cvs) -> value_set {
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if (!cdef) {
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return unbounded_value_set;
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}
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const auto found = boost::find_if(
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cvs, [&] (const column_value& c) { return c.col == cdef; });
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if (found == cvs.end()) {
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return unbounded_value_set;
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}
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const auto column_index_on_lhs = std::distance(cvs.begin(), found);
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if (oper.op->is_compare()) {
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const auto tup = get_tuple(*oper.rhs, options);
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bytes_opt val = tup ? tup->get_elements()[column_index_on_lhs]
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: to_bytes_opt(oper.rhs->bind_and_get(options));
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if (!val) {
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return empty_value_set; // All NULL comparisons fail; no column values match.
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}
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if (*oper.op == operator_type::EQ) {
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return value_list{*val};
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}
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if (column_index_on_lhs > 0) {
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// A multi-column comparison restricts only the first column, because
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// comparison is lexicographical.
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return unbounded_value_set;
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}
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if (*oper.op == operator_type::GT) {
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return nonwrapping_range<bytes>::make_starting_with(range_bound(*val, exclusive));
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} else if (*oper.op == operator_type::GTE) {
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return nonwrapping_range<bytes>::make_starting_with(range_bound(*val, inclusive));
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} else if (*oper.op == operator_type::LT) {
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return nonwrapping_range<bytes>::make_ending_with(range_bound(*val, exclusive));
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} else if (*oper.op == operator_type::LTE) {
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return nonwrapping_range<bytes>::make_ending_with(range_bound(*val, inclusive));
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}
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throw std::logic_error(
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format("get_column_interval unknown comparison operator {}", *oper.op));
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} else if (*oper.op == operator_type::IN) {
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return get_IN_values(oper.rhs, column_index_on_lhs, options, type->as_less_comparator());
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}
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return unbounded_value_set;
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},
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|
[&] (token) -> value_set {
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|
|
if (cdef) {
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|
|
return unbounded_value_set;
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|
}
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|
const auto val = to_bytes_opt(oper.rhs->bind_and_get(options));
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|
if (!val) {
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|
return empty_value_set; // All NULL comparisons fail; no token values match.
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|
}
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|
if (*oper.op == operator_type::EQ) {
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|
return value_list{*val};
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|
} else if (*oper.op == operator_type::GT) {
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|
return nonwrapping_range<bytes>::make_starting_with(range_bound(*val, exclusive));
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|
|
} else if (*oper.op == operator_type::GTE) {
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|
|
return nonwrapping_range<bytes>::make_starting_with(range_bound(*val, inclusive));
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|
|
|
}
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|
|
static const bytes MININT = serialized(std::numeric_limits<int64_t>::min()),
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|
|
MAXINT = serialized(std::numeric_limits<int64_t>::max());
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|
|
// Undocumented feature: when the user types `token(...) < MININT`, we interpret
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|
|
// that as MAXINT for some reason.
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|
|
const auto adjusted_val = (*val == MININT) ? serialized(MAXINT) : *val;
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|
|
if (*oper.op == operator_type::LT) {
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|
|
return nonwrapping_range<bytes>::make_ending_with(range_bound(adjusted_val, exclusive));
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|
|
|
} else if (*oper.op == operator_type::LTE) {
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|
|
return nonwrapping_range<bytes>::make_ending_with(range_bound(adjusted_val, inclusive));
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|
|
|
}
|
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|
|
|
throw std::logic_error(format("get_token_interval invalid operator {}", *oper.op));
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|
|
|
},
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|
|
|
|
}, oper.lhs);
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|
|
},
|
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|
|
|
}, expr);
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|
|
|
}
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|
|
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|
|
nonwrapping_range<bytes> to_range(const value_set& s) {
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|
|
|
return std::visit(overloaded_functor{
|
|
|
|
|
[] (const nonwrapping_range<bytes>& r) { return r; },
|
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|
|
|
[] (const value_list& lst) {
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|
|
|
if (lst.size() != 1) {
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|
|
|
throw std::logic_error(format("to_range called on list of size {}", lst.size()));
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|
|
|
}
|
|
|
|
|
return nonwrapping_range<bytes>::make_singular(lst[0]);
|
|
|
|
|
},
|
|
|
|
|
}, s);
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
bool uses_function(const expression& expr, const sstring& ks_name, const sstring& function_name) {
|
|
|
|
|
return std::visit(overloaded_functor{
|
|
|
|
|
[&] (const conjunction& conj) {
|
|
|
|
|
using std::placeholders::_1;
|
|
|
|
|
return boost::algorithm::any_of(conj.children, std::bind(uses_function, _1, ks_name, function_name));
|
|
|
|
|
},
|
|
|
|
|
[&] (const binary_operator& oper) {
|
|
|
|
|
if (oper.rhs && oper.rhs->uses_function(ks_name, function_name)) {
|
|
|
|
|
return true;
|
|
|
|
|
} else if (auto columns = std::get_if<std::vector<column_value>>(&oper.lhs)) {
|
|
|
|
|
return boost::algorithm::any_of(*columns, [&] (const column_value& cv) {
|
|
|
|
|
return cv.sub && cv.sub->uses_function(ks_name, function_name);
|
|
|
|
|
});
|
|
|
|
|
}
|
|
|
|
|
return false;
|
|
|
|
|
},
|
|
|
|
|
[&] (const auto& default_case) { return false; },
|
|
|
|
|
}, expr);
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
bool is_supported_by(const expression& expr, const secondary_index::index& idx) {
|
|
|
|
|
using std::placeholders::_1;
|
|
|
|
|
return std::visit(overloaded_functor{
|
|
|
|
|
[&] (const conjunction& conj) {
|
|
|
|
|
return boost::algorithm::all_of(conj.children, std::bind(is_supported_by, _1, idx));
|
|
|
|
|
},
|
|
|
|
|
[&] (const binary_operator& oper) {
|
|
|
|
|
if (auto cvs = std::get_if<std::vector<column_value>>(&oper.lhs)) {
|
|
|
|
|
return boost::algorithm::any_of(*cvs, [&] (const column_value& c) {
|
|
|
|
|
return idx.supports_expression(*c.col, *oper.op);
|
|
|
|
|
});
|
|
|
|
|
}
|
|
|
|
|
return false;
|
|
|
|
|
},
|
|
|
|
|
[] (const auto& default_case) { return false; }
|
|
|
|
|
}, expr);
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
bool has_supporting_index(
|
|
|
|
|
const expression& expr,
|
|
|
|
|
const secondary_index::secondary_index_manager& index_manager,
|
|
|
|
|
allow_local_index allow_local) {
|
|
|
|
|
const auto indexes = index_manager.list_indexes();
|
|
|
|
|
const auto support = std::bind(is_supported_by, expr, std::placeholders::_1);
|
|
|
|
|
return allow_local ? boost::algorithm::any_of(indexes, support)
|
|
|
|
|
: boost::algorithm::any_of(
|
|
|
|
|
indexes | filtered([] (const secondary_index::index& i) { return !i.metadata().local(); }),
|
|
|
|
|
support);
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
std::ostream& operator<<(std::ostream& os, const column_value& cv) {
|
|
|
|
|
os << *cv.col;
|
|
|
|
|
if (cv.sub) {
|
|
|
|
|
os << '[' << *cv.sub << ']';
|
|
|
|
|
}
|
|
|
|
|
return os;
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
std::ostream& operator<<(std::ostream& os, const expression& expr) {
|
|
|
|
|
std::visit(overloaded_functor{
|
|
|
|
|
[&] (bool b) { os << (b ? "TRUE" : "FALSE"); },
|
|
|
|
|
[&] (const conjunction& conj) { fmt::print(os, "({})", fmt::join(conj.children, ") AND (")); },
|
|
|
|
|
[&] (const binary_operator& opr) {
|
|
|
|
|
std::visit(overloaded_functor{
|
|
|
|
|
[&] (const token& t) { os << "TOKEN"; },
|
|
|
|
|
[&] (const std::vector<column_value>& cvs) {
|
|
|
|
|
const bool multi = cvs.size() != 1;
|
|
|
|
|
os << (multi ? "(" : "");
|
|
|
|
|
fmt::print(os, "({})", fmt::join(cvs, ","));
|
|
|
|
|
os << (multi ? ")" : "");
|
|
|
|
|
},
|
|
|
|
|
}, opr.lhs);
|
|
|
|
|
os << ' ' << *opr.op << ' ' << *opr.rhs;
|
|
|
|
|
},
|
|
|
|
|
}, expr);
|
|
|
|
|
return os;
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
sstring to_string(const expression& expr) {
|
|
|
|
|
return fmt::format("{}", expr);
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
bool is_on_collection(const binary_operator& b) {
|
|
|
|
|
if (*b.op == operator_type::CONTAINS || *b.op == operator_type::CONTAINS_KEY) {
|
|
|
|
|
return true;
|
|
|
|
|
}
|
|
|
|
|
if (auto cvs = std::get_if<std::vector<column_value>>(&b.lhs)) {
|
|
|
|
|
return boost::algorithm::any_of(*cvs, [] (const column_value& v) { return v.sub; });
|
|
|
|
|
}
|
|
|
|
|
return false;
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
expression replace_column_def(const expression& expr, const column_definition* new_cdef) {
|
|
|
|
|
return std::visit(overloaded_functor{
|
|
|
|
|
[] (bool b){ return expression(b); },
|
|
|
|
|
[&] (const conjunction& conj) {
|
|
|
|
|
const auto applied = conj.children | transformed(
|
|
|
|
|
std::bind(replace_column_def, std::placeholders::_1, new_cdef));
|
|
|
|
|
return expression(conjunction{std::vector(applied.begin(), applied.end())});
|
|
|
|
|
},
|
|
|
|
|
[&] (const binary_operator& oper) {
|
|
|
|
|
return std::visit(overloaded_functor{
|
|
|
|
|
[&] (const std::vector<column_value>& cvs) {
|
|
|
|
|
if (cvs.size() != 1) {
|
|
|
|
|
throw std::logic_error(format("replace_column_def invalid LHS: {}", to_string(oper)));
|
|
|
|
|
}
|
|
|
|
|
return expression(binary_operator{std::vector{column_value{new_cdef}}, oper.op, oper.rhs});
|
|
|
|
|
},
|
|
|
|
|
[&] (const token&) { return expr; },
|
|
|
|
|
}, oper.lhs);
|
|
|
|
|
},
|
|
|
|
|
}, expr);
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
} // namespace restrictions
|
|
|
|
|
} // namespace cql3
|
|
|
|
|
|