Files
scylladb/cql3/expr/expression.cc
Piotr Sarna 2015988373 Merge 'types: get rid of linearization in deserialize()' from Michał Chojnowski
Citing #6138: > In the past few years we have converted most of our codebase to
work in terms of fragmented buffers, instead of linearised ones, to help avoid
large allocations that put large pressure on the memory allocator.  > One
prominent component that still works exclusively in terms of linearised buffers
is the types hierarchy, more specifically the de/serialization code to/from CQL
format. Note that for most types, this is the same as our internal format,
notable exceptions are non-frozen collections and user types.  > > Most types
are expected to contain reasonably small values, but texts, blobs and especially
collections can get very large. Since the entire hierarchy shares a common
interface we can either transition all or none to work with fragmented buffers.

This series gets rid of intermediate linearizations in deserialization. The next
steps are removing linearizations from serialization, validation and comparison
code.

Series summary:
- Fix a bug in `fragmented_temporary_buffer::view::remove_prefix`. (Discovered
  while testing. Since it wasn't discovered earlier, I guess it doesn't occur in
  any code path in master.)
- Add a `FragmentedView` concept to allow uniform handling of various types of
  fragmented buffers (`bytes_view`, `temporary_fragmented_buffer::view`,
  `ser::buffer_view` and likely `managed_bytes_view` in the future).
- Implement `FragmentedView` for relevant fragmented buffer types.
- Add helper functions for reading from `FragmentedView`.
- Switch `deserialize()` and all its helpers from `bytes_view` to
  `FragmentedView`.
- Remove `with_linearized()` calls which just became unnecessary.
- Add an optimization for single-fragment cases.

The addition of `FragmentedView` might be controversial, because another concept
meant for the same purpose - `FragmentRange` - is already used. Unfortunately,
it lacks the functionality we need. The main (only?) thing we want to do with a
fragmented buffer is to extract a prefix from it and `FragmentRange` gives us no
way to do that, because it's immutable by design. We can work around that by
wrapping it into a mutable view which will track the offset into the immutable
`FragmentRange`, and that's exactly what `linearizing_input_stream` is. But it's
wasteful. `linearizing_input_stream` is a heavy type, unsuitable for passing
around as a view - it stores a pair of fragment iterators, a fragment view and a
size (11 words) to conform to the iterator-based design of `FragmentRange`, when
one fragment iterator (4 words) already contains all needed state, just hidden.
I suggest we replace `FragmentRange` with `FragmentedView` (or something
similar) altogether.

Refs: #6138

Closes #7692

* github.com:scylladb/scylla:
  types: collection: add an optimization for single-fragment buffers in deserialize
  types: add an optimization for single-fragment buffers in deserialize
  cql3: tuples: don't linearize in in_value::from_serialized
  cql3: expr: expression: replace with_linearize with linearized
  cql3: constants: remove unneeded uses of with_linearized
  cql3: update_parameters: don't linearize in prefetch_data_builder::add_cell
  cql3: lists: remove unneeded use of with_linearized
  query-result-set: don't linearize in result_set_builder::deserialize
  types: remove unneeded collection deserialization overloads
  types: switch collection_type_impl::deserialize from bytes_view to FragmentedView
  cql3: sets: don't linearize in value::from_serialized
  cql3: lists: don't linearize in value::from_serialized
  cql3: maps: don't linearize in value::from_serialized
  types: remove unused deserialize_aux
  types: deserialize: don't linearize tuple elements
  types: deserialize: don't linearize collection elements
  types: switch deserialize from bytes_view to FragmentedView
  types: deserialize tuple types from FragmentedView
  types: deserialize set type from FragmentedView
  types: deserialize map type from FragmentedView
  types: deserialize list type from FragmentedView
  types: add FragmentedView versions of read_collection_size and read_collection_value
  types: deserialize varint type from FragmentedView
  types: deserialize floating point types from FragmentedView
  types: deserialize decimal type from FragmentedView
  types: deserialize duration type from FragmentedView
  types: deserialize IP address types from FragmentedView
  types: deserialize uuid types from FragmentedView
  types: deserialize timestamp type from FragmentedView
  types: deserialize simple date type from FragmentedView
  types: deserialize time type from FragmentedView
  types: deserialize boolean type from FragmentedView
  types: deserialize integer types from FragmentedView
  types: deserialize string types from FragmentedView
  types: remove unused read_simple_opt
  types: implement read_simple* versions for FragmentedView
  utils: fragmented_temporary_buffer: implement FragmentedView for view
  utils: fragment_range: add single_fragmented_view
  serializer: implement FragmentedView for buffer_view
  utils: fragment_range: add linearized and with_linearized for FragmentedView
  utils: fragment_range: add FragmentedView
  utils: fragmented_temporary_buffer: fix view::remove_prefix
2020-12-04 09:46:20 +01:00

923 lines
40 KiB
C++

/*
* Copyright (C) 2020 ScyllaDB
*/
/*
* This file is part of Scylla.
*
* Scylla is free software: you can redistribute it and/or modify
* it under the terms of the GNU Affero General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* Scylla is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with Scylla. If not, see <http://www.gnu.org/licenses/>.
*/
#include "expression.hh"
#include <boost/algorithm/cxx11/all_of.hpp>
#include <boost/algorithm/cxx11/any_of.hpp>
#include <boost/range/adaptors.hpp>
#include <fmt/ostream.h>
#include <unordered_map>
#include "cql3/lists.hh"
#include "cql3/tuples.hh"
#include "index/secondary_index_manager.hh"
#include "types/list.hh"
#include "types/map.hh"
#include "types/set.hh"
#include "utils/like_matcher.hh"
namespace cql3 {
namespace expr {
using boost::adaptors::filtered;
using boost::adaptors::transformed;
namespace {
std::optional<atomic_cell_value_view> do_get_value(const schema& schema,
const column_definition& cdef,
const partition_key& key,
const clustering_key_prefix& ckey,
const row& cells,
gc_clock::time_point now) {
switch (cdef.kind) {
case column_kind::partition_key:
return atomic_cell_value_view(key.get_component(schema, cdef.component_index()));
case column_kind::clustering_key:
return atomic_cell_value_view(ckey.get_component(schema, cdef.component_index()));
default:
auto cell = cells.find_cell(cdef.id);
if (!cell) {
return std::nullopt;
}
assert(cdef.is_atomic());
auto c = cell->as_atomic_cell(cdef);
return c.is_dead(now) ? std::nullopt : std::optional<atomic_cell_value_view>(c.value());
}
}
using children_t = std::vector<expression>; // conjunction's children.
children_t explode_conjunction(expression e) {
return std::visit(overloaded_functor{
[] (const conjunction& c) { return std::move(c.children); },
[&] (const auto&) { return children_t{std::move(e)}; },
}, e);
}
using cql3::selection::selection;
/// Serialized values for all types of cells, plus selection (to find a column's index) and options (for
/// subscript term's value).
struct row_data_from_partition_slice {
const std::vector<bytes>& partition_key;
const std::vector<bytes>& clustering_key;
const std::vector<bytes_opt>& other_columns;
const selection& sel;
};
/// Data used to derive cell values from a mutation.
struct row_data_from_mutation {
// Underscores avoid name clashes.
const partition_key& partition_key_;
const clustering_key_prefix& clustering_key_;
const row& other_columns;
const schema& schema_;
gc_clock::time_point now;
};
/// Everything needed to compute column values during restriction evaluation.
struct column_value_eval_bag {
const query_options& options; // For evaluating subscript terms.
std::variant<row_data_from_partition_slice, row_data_from_mutation> row_data;
};
/// Returns col's value from queried data.
bytes_opt get_value_from_partition_slice(
const column_value& col, row_data_from_partition_slice data, const query_options& options) {
auto cdef = col.col;
if (col.sub) {
auto col_type = static_pointer_cast<const collection_type_impl>(cdef->type);
if (!col_type->is_map()) {
throw exceptions::invalid_request_exception(format("subscripting non-map column {}", cdef->name_as_text()));
}
const auto deserialized = cdef->type->deserialize(*data.other_columns[data.sel.index_of(*cdef)]);
const auto& data_map = value_cast<map_type_impl::native_type>(deserialized);
const auto key = col.sub->bind_and_get(options);
auto&& key_type = col_type->name_comparator();
const auto found = with_linearized(*key, [&] (bytes_view key_bv) {
using entry = std::pair<data_value, data_value>;
return std::find_if(data_map.cbegin(), data_map.cend(), [&] (const entry& element) {
return key_type->compare(element.first.serialize_nonnull(), key_bv) == 0;
});
});
return found == data_map.cend() ? bytes_opt() : bytes_opt(found->second.serialize_nonnull());
} else {
switch (cdef->kind) {
case column_kind::partition_key:
return data.partition_key[cdef->id];
case column_kind::clustering_key:
return data.clustering_key[cdef->id];
case column_kind::static_column:
case column_kind::regular_column:
return data.other_columns[data.sel.index_of(*cdef)];
default:
throw exceptions::unsupported_operation_exception("Unknown column kind");
}
}
}
/// Returns col's value from a mutation.
bytes_opt get_value_from_mutation(const column_value& col, row_data_from_mutation data) {
const auto v = do_get_value(
data.schema_, *col.col, data.partition_key_, data.clustering_key_, data.other_columns, data.now);
return v ? v->linearize() : bytes_opt();
}
/// Returns col's value from the fetched data.
bytes_opt get_value(const column_value& col, const column_value_eval_bag& bag) {
using std::placeholders::_1;
return std::visit(overloaded_functor{
std::bind(get_value_from_mutation, col, _1),
std::bind(get_value_from_partition_slice, col, _1, bag.options),
}, bag.row_data);
}
/// Type for comparing results of get_value().
const abstract_type* get_value_comparator(const column_definition* cdef) {
return cdef->type->is_reversed() ? cdef->type->underlying_type().get() : cdef->type.get();
}
/// Type for comparing results of get_value().
const abstract_type* get_value_comparator(const column_value& cv) {
return cv.sub ? static_pointer_cast<const collection_type_impl>(cv.col->type)->value_comparator().get()
: get_value_comparator(cv.col);
}
/// If t represents a tuple value, returns that value. Otherwise, null.
///
/// Useful for checking binary_operator::rhs, which packs multiple values into a single term when lhs is itself
/// a tuple. NOT useful for the IN operator, whose rhs is either a list or tuples::in_value.
::shared_ptr<tuples::value> get_tuple(term& t, const query_options& opts) {
return dynamic_pointer_cast<tuples::value>(t.bind(opts));
}
/// True iff lhs's value equals rhs.
bool equal(const bytes_opt& rhs, const column_value& lhs, const column_value_eval_bag& bag) {
if (!rhs) {
return false;
}
const auto value = get_value(lhs, bag);
if (!value) {
return false;
}
return get_value_comparator(lhs)->equal(*value, *rhs);
}
/// Convenience overload for term.
bool equal(term& rhs, const column_value& lhs, const column_value_eval_bag& bag) {
return equal(to_bytes_opt(rhs.bind_and_get(bag.options)), lhs, bag);
}
/// True iff columns' values equal t.
bool equal(term& t, const std::vector<column_value>& columns, const column_value_eval_bag& bag) {
const auto tup = get_tuple(t, bag.options);
if (!tup) {
throw exceptions::invalid_request_exception("multi-column equality has right-hand side that isn't a tuple");
}
const auto& rhs = tup->get_elements();
if (rhs.size() != columns.size()) {
throw exceptions::invalid_request_exception(
format("tuple equality size mismatch: {} elements on left-hand side, {} on right",
columns.size(), rhs.size()));
}
return boost::equal(rhs, columns, [&] (const bytes_opt& b, const column_value& lhs) {
return equal(b, lhs, bag);
});
}
/// True iff lhs is limited by rhs in the manner prescribed by op.
bool limits(bytes_view lhs, oper_t op, bytes_view rhs, const abstract_type& type) {
const auto cmp = type.compare(lhs, rhs);
switch (op) {
case oper_t::LT:
return cmp < 0;
case oper_t::LTE:
return cmp <= 0;
case oper_t::GT:
return cmp > 0;
case oper_t::GTE:
return cmp >= 0;
case oper_t::EQ:
return cmp == 0;
case oper_t::NEQ:
return cmp != 0;
default:
throw std::logic_error(format("limits() called on non-compare op {}", op));
}
}
/// True iff the column value is limited by rhs in the manner prescribed by op.
bool limits(const column_value& col, oper_t op, term& rhs, const column_value_eval_bag& bag) {
if (!is_slice(op)) { // For EQ or NEQ, use equal().
throw std::logic_error("limits() called on non-slice op");
}
auto lhs = get_value(col, bag);
if (!lhs) {
return false;
}
const auto b = to_bytes_opt(rhs.bind_and_get(bag.options));
return b ? limits(*lhs, op, *b, *get_value_comparator(col)) : false;
}
/// True iff the column values are limited by t in the manner prescribed by op.
bool limits(const std::vector<column_value>& columns, const oper_t op, term& t,
const column_value_eval_bag& bag) {
if (!is_slice(op)) { // For EQ or NEQ, use equal().
throw std::logic_error("limits() called on non-slice op");
}
const auto tup = get_tuple(t, bag.options);
if (!tup) {
throw exceptions::invalid_request_exception(
"multi-column comparison has right-hand side that isn't a tuple");
}
const auto& rhs = tup->get_elements();
if (rhs.size() != columns.size()) {
throw exceptions::invalid_request_exception(
format("tuple comparison size mismatch: {} elements on left-hand side, {} on right",
columns.size(), rhs.size()));
}
for (size_t i = 0; i < rhs.size(); ++i) {
const auto cmp = get_value_comparator(columns[i])->compare(
// CQL dictates that columns[i] is a clustering column and non-null.
*get_value(columns[i], bag),
*rhs[i]);
// If the components aren't equal, then we just learned the LHS/RHS order.
if (cmp < 0) {
if (op == oper_t::LT || op == oper_t::LTE) {
return true;
} else if (op == oper_t::GT || op == oper_t::GTE) {
return false;
} else {
throw std::logic_error("Unknown slice operator");
}
} else if (cmp > 0) {
if (op == oper_t::LT || op == oper_t::LTE) {
return false;
} else if (op == oper_t::GT || op == oper_t::GTE) {
return true;
} else {
throw std::logic_error("Unknown slice operator");
}
}
// Otherwise, we don't know the LHS/RHS order, so check the next component.
}
// Getting here means LHS == RHS.
return op == oper_t::LTE || op == oper_t::GTE;
}
/// True iff collection (list, set, or map) contains value.
bool contains(const data_value& collection, const raw_value_view& value) {
if (!value) {
return true; // Compatible with old code, which skips null terms in value comparisons.
}
auto col_type = static_pointer_cast<const collection_type_impl>(collection.type());
auto&& element_type = col_type->is_set() ? col_type->name_comparator() : col_type->value_comparator();
return with_linearized(*value, [&] (bytes_view val) {
auto exists_in = [&](auto&& range) {
auto found = std::find_if(range.begin(), range.end(), [&] (auto&& element) {
return element_type->compare(element.serialize_nonnull(), val) == 0;
});
return found != range.end();
};
if (col_type->is_list()) {
return exists_in(value_cast<list_type_impl::native_type>(collection));
} else if (col_type->is_set()) {
return exists_in(value_cast<set_type_impl::native_type>(collection));
} else if (col_type->is_map()) {
auto data_map = value_cast<map_type_impl::native_type>(collection);
using entry = std::pair<data_value, data_value>;
return exists_in(data_map | transformed([] (const entry& e) { return e.second; }));
} else {
throw std::logic_error("unsupported collection type in a CONTAINS expression");
}
});
}
/// True iff a column is a collection containing value.
bool contains(const column_value& col, const raw_value_view& value, const column_value_eval_bag& bag) {
if (col.sub) {
throw exceptions::unsupported_operation_exception("CONTAINS lhs is subscripted");
}
const auto collection = get_value(col, bag);
if (collection) {
return contains(col.col->type->deserialize(*collection), value);
} else {
return false;
}
}
/// True iff a column is a map containing \p key.
bool contains_key(const column_value& col, cql3::raw_value_view key, const column_value_eval_bag& bag) {
if (col.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 type = col.col->type;
const auto collection = get_value(col, bag);
if (!collection) {
return false;
}
const auto data_map = value_cast<map_type_impl::native_type>(type->deserialize(*collection));
auto key_type = static_pointer_cast<const collection_type_impl>(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 linearized(*cell);
}
} else {
auto cell = iter.next_atomic_cell();
if (cell) {
return linearized(cell->value());
}
}
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 the column value is in the set defined by rhs.
bool is_one_of(const column_value& col, 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 `a IN (1,2,3)`. RHS elements are themselves terms.
return boost::algorithm::any_of(dv->get_elements(), [&] (const ::shared_ptr<term>& t) {
return equal(*t, col, bag);
});
} else if (auto mkr = dynamic_cast<lists::marker*>(&rhs)) {
// This is `a IN ?`. RHS elements are values representable as bytes_opt.
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, col, bag);
});
}
throw std::logic_error("unexpected term type in is_one_of(single column)");
}
/// 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 `(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<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(multi-column)");
}
/// True iff op means bnd type of bound.
bool matches(oper_t op, statements::bound bnd) {
switch (op) {
case oper_t::GT:
case oper_t::GTE:
return is_start(bnd); // These set a lower bound.
case oper_t::LT:
case oper_t::LTE:
return is_end(bnd); // These set an upper bound.
case oper_t::EQ:
return true; // Bounds from both sides.
default:
return false;
}
}
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 column_value& col) {
if (opr.op == oper_t::EQ) {
return equal(*opr.rhs, col, bag);
} else if (opr.op == oper_t::NEQ) {
return !equal(*opr.rhs, col, bag);
} else if (is_slice(opr.op)) {
return limits(col, opr.op, *opr.rhs, bag);
} else if (opr.op == oper_t::CONTAINS) {
return contains(col, opr.rhs->bind_and_get(bag.options), bag);
} else if (opr.op == oper_t::CONTAINS_KEY) {
return contains_key(col, opr.rhs->bind_and_get(bag.options), bag);
} else if (opr.op == oper_t::LIKE) {
return like(col, to_bytes_opt(opr.rhs->bind_and_get(bag.options)), bag);
} else if (opr.op == oper_t::IN) {
return is_one_of(col, *opr.rhs, bag);
} else {
throw exceptions::unsupported_operation_exception(format("Unhandled binary_operator: {}", opr));
}
},
[&] (const std::vector<column_value>& cvs) {
if (opr.op == oper_t::EQ) {
return equal(*opr.rhs, cvs, bag);
} else if (is_slice(opr.op)) {
return limits(cvs, opr.op, *opr.rhs, bag);
} else if (opr.op == oper_t::IN) {
return is_one_of(cvs, *opr.rhs, bag);
} else {
throw exceptions::unsupported_operation_exception(
format("Unhandled multi-column binary_operator: {}", opr));
}
},
[] (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 {
throw std::logic_error("non-tuple RHS for multi-column IN");
}
}
template<typename Range>
value_list to_sorted_vector(Range r, const serialized_compare& comparator) {
BOOST_CONCEPT_ASSERT((boost::ForwardRangeConcept<Range>));
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());
}
const auto non_null = boost::adaptors::filtered([] (const bytes_opt& b) { return b.has_value(); });
const auto deref = boost::adaptors::transformed([] (const bytes_opt& b) { return b.value(); });
/// Returns possible values from t, which must be RHS of IN.
value_list get_IN_values(
const ::shared_ptr<term>& t, const query_options& options, const serialized_compare& comparator) {
// 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)`.
const auto result_range = dv->get_elements()
| boost::adaptors::transformed([&] (const ::shared_ptr<term>& t) { return to_bytes_opt(t->bind_and_get(options)); })
| non_null | deref;
return to_sorted_vector(std::move(result_range), comparator);
} else if (auto mkr = dynamic_pointer_cast<lists::marker>(t)) {
// Case `a IN ?`. Collect all list-element values.
const auto val = static_pointer_cast<lists::value>(mkr->bind(options));
return to_sorted_vector(val->get_elements() | non_null | deref, comparator);
}
throw std::logic_error(format("get_IN_values(single column) on invalid term {}", *t));
}
/// 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) {
// 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,b) in ((1,1),(2,2),(3,3))`. Get kth value from each term element.
const auto result_range = dv->get_elements()
| boost::adaptors::transformed(std::bind_front(get_kth, k, options)) | non_null | deref;
return to_sorted_vector(std::move(result_range), 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 split_values = val->get_split_values(); // Need lvalue from which to make std::view.
const auto result_range = split_values
| boost::adaptors::transformed([k] (const std::vector<bytes_opt>& v) { return v[k]; }) | non_null | deref;
return to_sorted_vector(std::move(result_range), comparator);
}
throw std::logic_error(format("get_IN_values(multi-column) on invalid term {}", *t));
}
static constexpr bool inclusive = true, exclusive = false;
/// A range of all X such that X op val.
nonwrapping_range<bytes> to_range(oper_t op, const bytes& val) {
switch (op) {
case oper_t::GT:
return nonwrapping_range<bytes>::make_starting_with(interval_bound(val, exclusive));
case oper_t::GTE:
return nonwrapping_range<bytes>::make_starting_with(interval_bound(val, inclusive));
case oper_t::LT:
return nonwrapping_range<bytes>::make_ending_with(interval_bound(val, exclusive));
case oper_t::LTE:
return nonwrapping_range<bytes>::make_ending_with(interval_bound(val, inclusive));
default:
throw std::logic_error(format("to_range: unknown comparison operator {}", op));
}
}
} // 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,
const selection& selection, const query_options& options) {
const auto regulars = get_non_pk_values(selection, static_row, row);
return is_satisfied_by(
restr, {options, row_data_from_partition_slice{partition_key, clustering_key, regulars, selection}});
}
bool is_satisfied_by(
const expression& restr,
const schema& schema, const partition_key& key, const clustering_key_prefix& ckey, const row& cells,
const query_options& options, gc_clock::time_point now) {
return is_satisfied_by(restr, {options, row_data_from_mutation{key, ckey, cells, schema, now}});
}
std::vector<bytes_opt> first_multicolumn_bound(
const expression& restr, const query_options& options, statements::bound bnd) {
auto found = find_atom(restr, [bnd] (const binary_operator& oper) {
return matches(oper.op, bnd) && std::holds_alternative<std::vector<column_value>>(oper.lhs);
});
if (found) {
return static_pointer_cast<tuples::value>(found->rhs->bind(options))->get_elements();
} else {
return std::vector<bytes_opt>{};
}
}
value_set possible_lhs_values(const column_definition* cdef, const expression& expr, const query_options& options) {
const auto type = cdef ? get_value_comparator(cdef) : long_type.get();
return std::visit(overloaded_functor{
[] (bool b) {
return b ? unbounded_value_set : empty_value_set;
},
[&] (const conjunction& conj) {
return boost::accumulate(conj.children, unbounded_value_set,
[&] (const value_set& acc, const expression& child) {
return intersection(
std::move(acc), possible_lhs_values(cdef, child, options), type);
});
},
[&] (const binary_operator& oper) -> value_set {
return std::visit(overloaded_functor{
[&] (const column_value& col) -> value_set {
if (!cdef || cdef != col.col) {
return unbounded_value_set;
}
if (is_compare(oper.op)) {
const auto val = to_bytes_opt(oper.rhs->bind_and_get(options));
if (!val) {
return empty_value_set; // All NULL comparisons fail; no column values match.
}
return oper.op == oper_t::EQ ? value_set(value_list{*val})
: to_range(oper.op, *val);
} else if (oper.op == oper_t::IN) {
return get_IN_values(oper.rhs, options, type->as_less_comparator());
}
throw std::logic_error(format("possible_lhs_values: unhandled operator {}", oper));
},
[&] (const std::vector<column_value>& cvs) -> value_set {
if (!cdef) {
return unbounded_value_set;
}
const auto found = boost::find_if(
cvs, [&] (const column_value& c) { return c.col == cdef; });
if (found == cvs.end()) {
return unbounded_value_set;
}
const auto column_index_on_lhs = std::distance(cvs.begin(), found);
if (is_compare(oper.op)) {
// RHS must be a tuple due to upstream checks.
bytes_opt val = get_tuple(*oper.rhs, options)->get_elements()[column_index_on_lhs];
if (!val) {
return empty_value_set; // All NULL comparisons fail; no column values match.
}
if (oper.op == oper_t::EQ) {
return value_list{*val};
}
if (column_index_on_lhs > 0) {
// A multi-column comparison restricts only the first column, because
// comparison is lexicographical.
return unbounded_value_set;
}
return to_range(oper.op, *val);
} else if (oper.op == oper_t::IN) {
return get_IN_values(oper.rhs, column_index_on_lhs, options, type->as_less_comparator());
}
return unbounded_value_set;
},
[&] (token) -> value_set {
if (cdef) {
return unbounded_value_set;
}
const auto val = to_bytes_opt(oper.rhs->bind_and_get(options));
if (!val) {
return empty_value_set; // All NULL comparisons fail; no token values match.
}
if (oper.op == oper_t::EQ) {
return value_list{*val};
} else if (oper.op == oper_t::GT) {
return nonwrapping_range<bytes>::make_starting_with(interval_bound(*val, exclusive));
} else if (oper.op == oper_t::GTE) {
return nonwrapping_range<bytes>::make_starting_with(interval_bound(*val, inclusive));
}
static const bytes MININT = serialized(std::numeric_limits<int64_t>::min()),
MAXINT = serialized(std::numeric_limits<int64_t>::max());
// Undocumented feature: when the user types `token(...) < MININT`, we interpret
// that as MAXINT for some reason.
const auto adjusted_val = (*val == MININT) ? serialized(MAXINT) : *val;
if (oper.op == oper_t::LT) {
return nonwrapping_range<bytes>::make_ending_with(interval_bound(adjusted_val, exclusive));
} else if (oper.op == oper_t::LTE) {
return nonwrapping_range<bytes>::make_ending_with(interval_bound(adjusted_val, inclusive));
}
throw std::logic_error(format("get_token_interval invalid operator {}", oper.op));
},
}, oper.lhs);
},
}, expr);
}
nonwrapping_range<bytes> to_range(const value_set& s) {
return std::visit(overloaded_functor{
[] (const nonwrapping_range<bytes>& r) { return r; },
[] (const value_list& lst) {
if (lst.size() != 1) {
throw std::logic_error(format("to_range called on list of size {}", lst.size()));
}
return nonwrapping_range<bytes>::make_singular(lst[0]);
},
}, s);
}
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) {
return std::visit(overloaded_functor{
[&] (const column_value& col) {
return idx.supports_expression(*col.col, oper.op);
},
[&] (const std::vector<column_value>& cvs) {
if (cvs.size() == 1) {
return idx.supports_expression(*cvs[0].col, oper.op);
}
// We don't use index table for multi-column restrictions, as it cannot avoid filtering.
return false;
},
[&] (const token&) { return false; },
}, oper.lhs);
},
[] (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 column_value& col) {
fmt::print(os, "({})", col);
},
[&] (const std::vector<column_value>& cvs) {
fmt::print(os, "(({}))", fmt::join(cvs, ","));
},
}, 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 == oper_t::CONTAINS || b.op == oper_t::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 column_value& col) {
return expression(binary_operator{column_value{new_cdef}, oper.op, oper.rhs});
},
[&] (const std::vector<column_value>& cvs) -> expression {
throw std::logic_error(format("replace_column_def invalid LHS: {}", to_string(oper)));
},
[&] (const token&) { return expr; },
}, oper.lhs);
},
}, expr);
}
std::ostream& operator<<(std::ostream& s, oper_t op) {
switch (op) {
case oper_t::EQ:
return s << "=";
case oper_t::NEQ:
return s << "!=";
case oper_t::LT:
return s << "<";
case oper_t::LTE:
return s << "<=";
case oper_t::GT:
return s << ">";
case oper_t::GTE:
return s << ">=";
case oper_t::IN:
return s << "IN";
case oper_t::CONTAINS:
return s << "CONTAINS";
case oper_t::CONTAINS_KEY:
return s << "CONTAINS KEY";
case oper_t::IS_NOT:
return s << "IS NOT";
case oper_t::LIKE:
return s << "LIKE";
}
__builtin_unreachable();
}
} // namespace expr
} // namespace cql3
template <>
struct fmt::formatter<cql3::expr::expression> {
constexpr auto parse(format_parse_context& ctx) {
return ctx.end();
}
template <typename FormatContext>
auto format(const cql3::expr::expression& expr, FormatContext& ctx) {
std::ostringstream os;
os << expr;
return format_to(ctx.out(), "{}", os.str());
}
};
template <>
struct fmt::formatter<cql3::expr::column_value> {
constexpr auto parse(format_parse_context& ctx) {
return ctx.end();
}
template <typename FormatContext>
auto format(const cql3::expr::column_value& col, FormatContext& ctx) {
std::ostringstream os;
os << col;
return format_to(ctx.out(), "{}", os.str());
}
};