Files
scylladb/cql3/selection/selection.cc
Michał Sala bb7edf3785 cql3: selection: detect if a selection represents count(*)
The way that this detection works is a bit clunky, but it does its job
given the simplest cases e.g. "SELECT COUNT(*) FROM ks.t". It fails when
there are multiple selectors, or when there is a column name specified
("SELECT COUNT(column_name) FROM ks.t").
2022-02-01 21:14:41 +01:00

553 lines
20 KiB
C++

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