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scylladb/cql3/statements/modification_statement.cc
Eliran Sinvani bf50dbd35b cql3 statements: Change dependency test API to express better it's 
purpose

Cql statements used to have two API functions, depends_on_keyspace and
depends_on_column_family. The former, took as a parameter only a table
name, which makes no sense. There could be multiple tables with the same
name each in a different keyspace and it doesn't make sense to
generalize the test - i.e to ask "Does a statement depend on any table
named XXX?"
In this change we unify the two calls to one - depends on that takes a
keyspace name and optionally also a table name, that way every logical
dependency tests that makes sense is supported by a single API call.
2022-02-27 11:48:03 +02:00

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/*
*/
/*
* Copyright (C) 2015-present ScyllaDB
*
* Modified by ScyllaDB
*/
/*
* SPDX-License-Identifier: (AGPL-3.0-or-later and Apache-2.0)
*/
#include "types/map.hh"
#include "cql3/statements/modification_statement.hh"
#include "cql3/statements/raw/modification_statement.hh"
#include "cql3/statements/prepared_statement.hh"
#include "cql3/restrictions/single_column_restriction.hh"
#include "cql3/util.hh"
#include "validation.hh"
#include "db/consistency_level_validations.hh"
#include <seastar/core/shared_ptr.hh>
#include <boost/range/adaptor/transformed.hpp>
#include <boost/range/adaptor/map.hpp>
#include <boost/range/adaptor/indirected.hpp>
#include "db/config.hh"
#include "transport/messages/result_message.hh"
#include "data_dictionary/data_dictionary.hh"
#include <seastar/core/execution_stage.hh>
#include "utils/UUID_gen.hh"
#include "partition_slice_builder.hh"
#include "cas_request.hh"
#include "cql3/query_processor.hh"
#include "service/storage_proxy.hh"
template<typename T = void>
using coordinator_result = exceptions::coordinator_result<T>;
bool is_internal_keyspace(std::string_view name);
namespace cql3 {
namespace statements {
timeout_config_selector
modification_statement_timeout(const schema& s) {
if (s.is_counter()) {
return &timeout_config::counter_write_timeout;
} else {
return &timeout_config::write_timeout;
}
}
db::timeout_clock::duration modification_statement::get_timeout(const service::client_state& state, const query_options& options) const {
return attrs->is_timeout_set() ? attrs->get_timeout(options) : state.get_timeout_config().*get_timeout_config_selector();
}
modification_statement::modification_statement(statement_type type_, uint32_t bound_terms, schema_ptr schema_, std::unique_ptr<attributes> attrs_, cql_stats& stats_)
: cql_statement_opt_metadata(modification_statement_timeout(*schema_))
, type{type_}
, _bound_terms{bound_terms}
, _columns_to_read(schema_->all_columns_count())
, _columns_of_cas_result_set(schema_->all_columns_count())
, s{schema_}
, attrs{std::move(attrs_)}
, _column_operations{}
, _stats(stats_)
, _ks_sel(::is_internal_keyspace(schema_->ks_name()) ? ks_selector::SYSTEM : ks_selector::NONSYSTEM)
{ }
uint32_t modification_statement::get_bound_terms() const {
return _bound_terms;
}
const sstring& modification_statement::keyspace() const {
return s->ks_name();
}
const sstring& modification_statement::column_family() const {
return s->cf_name();
}
bool modification_statement::is_counter() const {
return s->is_counter();
}
bool modification_statement::is_view() const {
return s->is_view();
}
int64_t modification_statement::get_timestamp(int64_t now, const query_options& options) const {
return attrs->get_timestamp(now, options);
}
bool modification_statement::is_timestamp_set() const {
return attrs->is_timestamp_set();
}
gc_clock::duration modification_statement::get_time_to_live(const query_options& options) const {
return gc_clock::duration(attrs->get_time_to_live(options));
}
future<> modification_statement::check_access(query_processor& qp, const service::client_state& state) const {
const data_dictionary::database db = qp.db();
auto f = state.has_column_family_access(db, keyspace(), column_family(), auth::permission::MODIFY);
if (has_conditions()) {
f = f.then([this, &state, db] {
return state.has_column_family_access(db, keyspace(), column_family(), auth::permission::SELECT);
});
}
return f;
}
future<std::vector<mutation>>
modification_statement::get_mutations(query_processor& qp, const query_options& options, db::timeout_clock::time_point timeout, bool local, int64_t now, service::query_state& qs) const {
if (_restrictions->range_or_slice_eq_null(options)) { // See #7852 and #9290.
throw exceptions::invalid_request_exception("Invalid null value in condition for a key column");
}
auto cl = options.get_consistency();
auto json_cache = maybe_prepare_json_cache(options);
auto keys = build_partition_keys(options, json_cache);
auto ranges = create_clustering_ranges(options, json_cache);
auto f = make_ready_future<update_parameters::prefetch_data>(s);
if (is_counter()) {
db::validate_counter_for_write(*s, cl);
} else {
db::validate_for_write(cl);
}
if (requires_read()) {
lw_shared_ptr<query::read_command> cmd = read_command(qp, ranges, cl);
// FIXME: ignoring "local"
f = qp.proxy().query(s, cmd, dht::partition_range_vector(keys), cl,
{timeout, qs.get_permit(), qs.get_client_state(), qs.get_trace_state()}).then(
[this, cmd] (auto cqr) {
return update_parameters::build_prefetch_data(s, *cqr.query_result, cmd->slice);
});
}
return f.then([this, keys = std::move(keys), ranges = std::move(ranges), json_cache = std::move(json_cache), &options, now]
(auto rows) {
update_parameters params(s, options, this->get_timestamp(now, options),
this->get_time_to_live(options), std::move(rows));
std::vector<mutation> mutations = apply_updates(keys, ranges, params, json_cache);
return make_ready_future<std::vector<mutation>>(std::move(mutations));
});
}
bool modification_statement::applies_to(const update_parameters::prefetch_data::row* row,
const query_options& options) const {
// Assume the row doesn't exist if it has no static columns and the statement is only interested
// in static column values. Needed for EXISTS checks to work correctly. For example, the following
// conditional INSERT must apply, because there's no static row in the partition although there's
// a regular row, which is fetched by the read:
// CREATE TABLE t(p int, c int, s int static, PRIMARY KEY(p, c));
// INSERT INTO t(p, c) VALUES(1, 1);
// INSERT INTO t(p, s) VALUES(1, 1) IF NOT EXISTS;
if (has_only_static_column_conditions() && row && !row->has_static_columns(*s)) {
row = nullptr;
}
if (_if_exists) {
return row != nullptr;
}
if (_if_not_exists) {
return row == nullptr;
}
auto condition_applies = [&row, &options](const lw_shared_ptr<column_condition>& cond) {
const data_value* value = nullptr;
if (row != nullptr) {
auto it = row->cells.find(cond->column.ordinal_id);
if (it != row->cells.end()) {
value = &it->second;
}
}
return cond->applies_to(value, options);
};
return (std::all_of(_static_conditions.begin(), _static_conditions.end(), condition_applies) &&
std::all_of(_regular_conditions.begin(), _regular_conditions.end(), condition_applies));
}
std::vector<mutation> modification_statement::apply_updates(
const std::vector<dht::partition_range>& keys,
const std::vector<query::clustering_range>& ranges,
const update_parameters& params,
const json_cache_opt& json_cache) const {
std::vector<mutation> mutations;
mutations.reserve(keys.size());
for (auto key : keys) {
// We know key.start() must be defined since we only allow EQ relations on the partition key.
mutations.emplace_back(s, std::move(*key.start()->value().key()));
auto& m = mutations.back();
for (auto&& r : ranges) {
this->add_update_for_key(m, r, params, json_cache);
}
}
return mutations;
}
lw_shared_ptr<query::read_command>
modification_statement::read_command(query_processor& qp, query::clustering_row_ranges ranges, db::consistency_level cl) const {
try {
validate_for_read(cl);
} catch (exceptions::invalid_request_exception& e) {
throw exceptions::invalid_request_exception(format("Write operation require a read but consistency {} is not supported on reads", cl));
}
query::partition_slice ps(std::move(ranges), *s, columns_to_read(), update_parameters::options);
const auto max_result_size = qp.proxy().get_max_result_size(ps);
return make_lw_shared<query::read_command>(s->id(), s->version(), std::move(ps), query::max_result_size(max_result_size));
}
std::vector<query::clustering_range>
modification_statement::create_clustering_ranges(const query_options& options, const json_cache_opt& json_cache) const {
return _restrictions->get_clustering_bounds(options);
}
dht::partition_range_vector
modification_statement::build_partition_keys(const query_options& options, const json_cache_opt& json_cache) const {
auto keys = _restrictions->get_partition_key_ranges(options);
for (auto const& k : keys) {
validation::validate_cql_key(*s, *k.start()->value().key());
}
return keys;
}
struct modification_statement_executor {
static auto get() { return &modification_statement::do_execute; }
};
static thread_local inheriting_concrete_execution_stage<
future<::shared_ptr<cql_transport::messages::result_message>>,
const modification_statement*,
query_processor&,
service::query_state&,
const query_options&> modify_stage{"cql3_modification", modification_statement_executor::get()};
future<::shared_ptr<cql_transport::messages::result_message>>
modification_statement::execute(query_processor& qp, service::query_state& qs, const query_options& options) const {
return execute_without_checking_exception_message(qp, qs, options)
.then(cql_transport::messages::propagate_exception_as_future<shared_ptr<cql_transport::messages::result_message>>);
}
future<::shared_ptr<cql_transport::messages::result_message>>
modification_statement::execute_without_checking_exception_message(query_processor& qp, service::query_state& qs, const query_options& options) const {
cql3::util::validate_timestamp(options, attrs);
return modify_stage(this, seastar::ref(qp), seastar::ref(qs), seastar::cref(options));
}
future<::shared_ptr<cql_transport::messages::result_message>>
modification_statement::do_execute(query_processor& qp, service::query_state& qs, const query_options& options) const {
if (has_conditions() && options.get_protocol_version() == 1) {
throw exceptions::invalid_request_exception("Conditional updates are not supported by the protocol version in use. You need to upgrade to a driver using the native protocol v2.");
}
tracing::add_table_name(qs.get_trace_state(), keyspace(), column_family());
inc_cql_stats(qs.get_client_state().is_internal());
if (has_conditions()) {
return execute_with_condition(qp, qs, options);
}
return execute_without_condition(qp, qs, options).then([] (coordinator_result<> res) {
if (!res) {
return make_ready_future<::shared_ptr<cql_transport::messages::result_message>>(
seastar::make_shared<cql_transport::messages::result_message::exception>(std::move(res).assume_error()));
}
return make_ready_future<::shared_ptr<cql_transport::messages::result_message>>(
::shared_ptr<cql_transport::messages::result_message>{});
});
}
future<coordinator_result<>>
modification_statement::execute_without_condition(query_processor& qp, service::query_state& qs, const query_options& options) const {
auto cl = options.get_consistency();
auto timeout = db::timeout_clock::now() + get_timeout(qs.get_client_state(), options);
return get_mutations(qp, options, timeout, false, options.get_timestamp(qs), qs).then([this, cl, timeout, &qp, &qs] (auto mutations) {
if (mutations.empty()) {
return make_ready_future<coordinator_result<>>(bo::success());
}
return qp.proxy().mutate_with_triggers(std::move(mutations), cl, timeout, false, qs.get_trace_state(), qs.get_permit(), this->is_raw_counter_shard_write());
});
}
future<::shared_ptr<cql_transport::messages::result_message>>
modification_statement::execute_with_condition(query_processor& qp, service::query_state& qs, const query_options& options) const {
auto cl_for_learn = options.get_consistency();
auto cl_for_paxos = options.check_serial_consistency();
db::timeout_clock::time_point now = db::timeout_clock::now();
const timeout_config& cfg = qs.get_client_state().get_timeout_config();
auto statement_timeout = now + cfg.write_timeout; // All CAS networking operations run with write timeout.
auto cas_timeout = now + cfg.cas_timeout; // When to give up due to contention.
auto read_timeout = now + cfg.read_timeout; // When to give up on query.
json_cache_opt json_cache = maybe_prepare_json_cache(options);
std::vector<dht::partition_range> keys = build_partition_keys(options, json_cache);
std::vector<query::clustering_range> ranges = create_clustering_ranges(options, json_cache);
if (keys.empty()) {
throw exceptions::invalid_request_exception(format("Unrestricted partition key in a conditional {}",
type.is_update() ? "update" : "deletion"));
}
auto request = seastar::make_shared<cas_request>(s, std::move(keys));
// cas_request can be used for batches as well single statements; Here we have just a single
// modification in the list of CAS commands, since we're handling single-statement execution.
request->add_row_update(*this, std::move(ranges), std::move(json_cache), options);
auto shard = service::storage_proxy::cas_shard(*s, request->key()[0].start()->value().as_decorated_key().token());
if (shard != this_shard_id()) {
return make_ready_future<shared_ptr<cql_transport::messages::result_message>>(
qp.bounce_to_shard(shard, std::move(const_cast<cql3::query_options&>(options).take_cached_pk_function_calls()))
);
}
return qp.proxy().cas(s, request, request->read_command(qp), request->key(),
{read_timeout, qs.get_permit(), qs.get_client_state(), qs.get_trace_state()},
cl_for_paxos, cl_for_learn, statement_timeout, cas_timeout).then([this, request] (bool is_applied) {
return request->build_cas_result_set(_metadata, _columns_of_cas_result_set, is_applied);
});
}
void modification_statement::build_cas_result_set_metadata() {
std::vector<lw_shared_ptr<column_specification>> columns;
// Add the mandatory [applied] column to result set metadata
auto applied = make_lw_shared<cql3::column_specification>(s->ks_name(), s->cf_name(),
make_shared<cql3::column_identifier>("[applied]", false), boolean_type);
columns.push_back(applied);
const auto& all_columns = s->all_columns();
if (_if_exists || _if_not_exists) {
// If all our conditions are columns conditions (IF x = ?), then it's enough to query
// the columns from the conditions. If we have a IF EXISTS or IF NOT EXISTS however,
// we need to query all columns for the row since if the condition fails, we want to
// return everything to the user.
// XXX Static columns make this a bit more complex, in that if an insert only static
// columns, then the existence condition applies only to the static columns themselves, and
// so we don't want to include regular columns in that case.
for (const auto& def : all_columns) {
_columns_of_cas_result_set.set(def.ordinal_id);
}
} else {
for (const auto& cond : _regular_conditions) {
_columns_of_cas_result_set.set(cond->column.ordinal_id);
}
for (const auto& cond : _static_conditions) {
_columns_of_cas_result_set.set(cond->column.ordinal_id);
}
}
columns.reserve(columns.size() + all_columns.size());
// We must filter conditions using the _columns_of_cas_result_set, since
// the same column can be used twice in the condition list:
// if a > 0 and a < 3.
for (const auto& def : all_columns) {
if (_columns_of_cas_result_set.test(def.ordinal_id)) {
columns.emplace_back(def.column_specification);
}
}
// Ensure we prefetch all of the columns of the result set. This is also
// necessary to check conditions.
_columns_to_read.union_with(_columns_of_cas_result_set);
_metadata = seastar::make_shared<cql3::metadata>(std::move(columns));
}
void
modification_statement::process_where_clause(data_dictionary::database db, std::vector<relation_ptr> where_clause, prepare_context& ctx) {
_restrictions = restrictions::statement_restrictions(db, s, type, where_clause, ctx,
applies_only_to_static_columns(), _selects_a_collection, false);
/*
* If there's no clustering columns restriction, we may assume that EXISTS
* check only selects static columns and hence we can use any row from the
* partition to check conditions.
*/
if (_if_exists || _if_not_exists) {
assert(!_has_static_column_conditions && !_has_regular_column_conditions);
if (s->has_static_columns() && !_restrictions->has_clustering_columns_restriction()) {
_has_static_column_conditions = true;
} else {
_has_regular_column_conditions = true;
}
}
if (has_token(_restrictions->get_partition_key_restrictions()->expression)) {
throw exceptions::invalid_request_exception(format("The token function cannot be used in WHERE clauses for UPDATE and DELETE statements: {}",
to_string(_restrictions->get_partition_key_restrictions()->expression)));
}
if (!_restrictions->get_non_pk_restriction().empty()) {
auto column_names = ::join(", ", _restrictions->get_non_pk_restriction()
| boost::adaptors::map_keys
| boost::adaptors::indirected
| boost::adaptors::transformed(std::mem_fn(&column_definition::name_as_text)));
throw exceptions::invalid_request_exception(format("Invalid where clause contains non PRIMARY KEY columns: {}", column_names));
}
auto ck_restrictions = _restrictions->get_clustering_columns_restrictions();
if (has_slice(ck_restrictions->expression) && !allow_clustering_key_slices()) {
throw exceptions::invalid_request_exception(
format("Invalid operator in where clause {}", to_string(ck_restrictions->expression)));
}
if (_restrictions->has_unrestricted_clustering_columns() && !applies_only_to_static_columns() && !s->is_dense()) {
// Tomek: Origin had "&& s->comparator->is_composite()" in the condition below.
// Comparator is a thrift concept, not CQL concept, and we want to avoid
// using thrift concepts here. I think it's safe to drop this here because the only
// case in which we would get a non-composite comparator here would be if the cell
// name type is SimpleSparse, which means:
// (a) CQL compact table without clustering columns
// (b) thrift static CF with non-composite comparator
// Those tables don't have clustering columns so we wouldn't reach this code, thus
// the check seems redundant.
if (require_full_clustering_key()) {
auto& col = s->column_at(column_kind::clustering_key, ck_restrictions->size());
throw exceptions::invalid_request_exception(format("Missing mandatory PRIMARY KEY part {}", col.name_as_text()));
}
// In general, we can't modify specific columns if not all clustering columns have been specified.
// However, if we modify only static columns, it's fine since we won't really use the prefix anyway.
if (!has_slice(ck_restrictions->expression)) {
auto& col = s->column_at(column_kind::clustering_key, ck_restrictions->size());
for (auto&& op : _column_operations) {
if (!op->column.is_static()) {
throw exceptions::invalid_request_exception(format("Primary key column '{}' must be specified in order to modify column '{}'",
col.name_as_text(), op->column.name_as_text()));
}
}
}
}
if (_restrictions->has_partition_key_unrestricted_components()) {
auto& col = s->column_at(column_kind::partition_key, _restrictions->get_partition_key_restrictions()->size());
throw exceptions::invalid_request_exception(format("Missing mandatory PRIMARY KEY part {}", col.name_as_text()));
}
if (has_conditions()) {
validate_where_clause_for_conditions();
}
}
namespace raw {
std::unique_ptr<prepared_statement>
modification_statement::prepare(data_dictionary::database db, cql_stats& stats) {
schema_ptr schema = validation::validate_column_family(db, keyspace(), column_family());
auto meta = get_prepare_context();
auto statement = prepare(db, meta, stats);
auto partition_key_bind_indices = meta.get_partition_key_bind_indexes(*schema);
return std::make_unique<prepared_statement>(std::move(statement), meta, std::move(partition_key_bind_indices));
}
::shared_ptr<cql3::statements::modification_statement>
modification_statement::prepare(data_dictionary::database db, prepare_context& ctx, cql_stats& stats) const {
schema_ptr schema = validation::validate_column_family(db, keyspace(), column_family());
auto prepared_attributes = _attrs->prepare(db, keyspace(), column_family());
prepared_attributes->fill_prepare_context(ctx);
auto prepared_stmt = prepare_internal(db, schema, ctx, std::move(prepared_attributes), stats);
// At this point the prepare context instance should have a list of
// `function_call` AST nodes corresponding to non-pure functions that
// evaluate partition key constraints.
//
// These calls can affect partition key ranges computation and target shard
// selection for LWT statements.
// For such cases we need to forward the computed execution result of the
// function when redirecting the query execution to another shard.
// Otherwise, it's possible that we end up bouncing indefinitely between
// various shards when evaluating a non-deterministic function each time on
// each shard.
//
// Prepare context is used to keep track of such AST nodes and also modifies
// them to include an id, that will be used for caching the results.
// At this point we don't yet know if it's an LWT query or not, because the
// prepared statement object is constructed later.
//
// Since this cache is only meaningful for LWT queries, just clear the ids
// if it's not a conditional statement so that the AST nodes don't
// participate in the caching mechanism later.
if (!prepared_stmt->has_conditions() && prepared_stmt->_restrictions.has_value()) {
ctx.clear_pk_function_calls_cache();
}
return prepared_stmt;
}
void
modification_statement::prepare_conditions(data_dictionary::database db, const schema& schema, prepare_context& ctx,
cql3::statements::modification_statement& stmt) const
{
if (_if_not_exists || _if_exists || !_conditions.empty()) {
if (stmt.is_counter()) {
throw exceptions::invalid_request_exception("Conditional updates are not supported on counter tables");
}
if (_attrs->timestamp) {
throw exceptions::invalid_request_exception("Cannot provide custom timestamp for conditional updates");
}
if (_if_not_exists) {
// To have both 'IF NOT EXISTS' and some other conditions doesn't make sense.
// So far this is enforced by the parser, but let's assert it for sanity if ever the parse changes.
assert(_conditions.empty());
assert(!_if_exists);
stmt.set_if_not_exist_condition();
} else if (_if_exists) {
assert(_conditions.empty());
assert(!_if_not_exists);
stmt.set_if_exist_condition();
} else {
for (auto&& entry : _conditions) {
auto id = entry.first->prepare_column_identifier(schema);
const column_definition* def = get_column_definition(schema, *id);
if (!def) {
throw exceptions::invalid_request_exception(format("Unknown identifier {}", *id));
}
auto condition = entry.second->prepare(db, keyspace(), *def);
condition->collect_marker_specificaton(ctx);
if (def->is_primary_key()) {
throw exceptions::invalid_request_exception(format("PRIMARY KEY column '{}' cannot have IF conditions", *id));
}
stmt.add_condition(condition);
}
}
stmt.build_cas_result_set_metadata();
}
}
} // namespace raw
void
modification_statement::validate(query_processor&, const service::client_state& state) const {
if (has_conditions() && attrs->is_timestamp_set()) {
throw exceptions::invalid_request_exception("Cannot provide custom timestamp for conditional updates");
}
if (is_counter() && attrs->is_timestamp_set() && !is_raw_counter_shard_write()) {
throw exceptions::invalid_request_exception("Cannot provide custom timestamp for counter updates");
}
if (is_counter() && attrs->is_time_to_live_set()) {
throw exceptions::invalid_request_exception("Cannot provide custom TTL for counter updates");
}
if (is_view()) {
throw exceptions::invalid_request_exception("Cannot directly modify a materialized view");
}
}
bool modification_statement::depends_on(std::string_view ks_name, std::optional<std::string_view> cf_name) const {
return keyspace() == ks_name && (!cf_name || column_family() == *cf_name);
}
void modification_statement::add_operation(::shared_ptr<operation> op) {
if (op->column.is_static()) {
_sets_static_columns = true;
} else {
_sets_regular_columns = true;
_selects_a_collection |= op->column.type->is_collection();
}
if (op->requires_read()) {
_requires_read = true;
_columns_to_read.set(op->column.ordinal_id);
if (op->column.type->is_collection() ) {
auto ctype = static_pointer_cast<const collection_type_impl>(op->column.type);
if (!ctype->is_multi_cell()) {
throw std::logic_error(format("cannot prefetch frozen collection: {}", op->column.name_as_text()));
}
}
}
if (op->column.is_counter()) {
auto is_raw_counter_shard_write = op->is_raw_counter_shard_write();
if (_is_raw_counter_shard_write && _is_raw_counter_shard_write != is_raw_counter_shard_write) {
throw exceptions::invalid_request_exception("Cannot mix regular and raw counter updates");
}
_is_raw_counter_shard_write = is_raw_counter_shard_write;
}
_column_operations.push_back(std::move(op));
}
void modification_statement::inc_cql_stats(bool is_internal) const {
const source_selector src_sel = is_internal
? source_selector::INTERNAL : source_selector::USER;
const cond_selector cond_sel = has_conditions()
? cond_selector::WITH_CONDITIONS : cond_selector::NO_CONDITIONS;
++_stats.query_cnt(src_sel, _ks_sel, cond_sel, type);
}
bool modification_statement::is_conditional() const {
return has_conditions();
}
void modification_statement::add_condition(lw_shared_ptr<column_condition> cond) {
if (cond->column.is_static()) {
_has_static_column_conditions = true;
_static_conditions.emplace_back(std::move(cond));
} else {
_has_regular_column_conditions = true;
_selects_a_collection |= cond->column.type->is_collection();
_regular_conditions.emplace_back(std::move(cond));
}
}
void modification_statement::set_if_not_exist_condition() {
// We don't know yet if we need to select only static columns to check this
// condition or we need regular columns as well. So we postpone setting
// _has_regular_column_conditions/_has_static_column_conditions flag until
// we process WHERE clause, see process_where_clause().
_if_not_exists = true;
}
bool modification_statement::has_if_not_exist_condition() const {
return _if_not_exists;
}
void modification_statement::set_if_exist_condition() {
// See a comment in set_if_not_exist_condition().
_if_exists = true;
}
bool modification_statement::has_if_exist_condition() const {
return _if_exists;
}
void modification_statement::validate_where_clause_for_conditions() const {
// We don't support IN for CAS operation so far
if (_restrictions->key_is_in_relation()) {
throw exceptions::invalid_request_exception(
format("IN on the partition key is not supported with conditional {}",
type.is_update() ? "updates" : "deletions"));
}
if (_restrictions->clustering_key_restrictions_has_IN()) {
throw exceptions::invalid_request_exception(
format("IN on the clustering key columns is not supported with conditional {}",
type.is_update() ? "updates" : "deletions"));
}
if (type.is_delete() && (_restrictions->has_unrestricted_clustering_columns() ||
!_restrictions->clustering_key_restrictions_has_only_eq())) {
bool deletes_regular_columns = _column_operations.empty() ||
std::any_of(_column_operations.begin(), _column_operations.end(), [] (auto&& op) {
return !op->column.is_static();
});
// For example, primary key is (a, b, c), only a and b are restricted
if (deletes_regular_columns) {
throw exceptions::invalid_request_exception(
"DELETE statements must restrict all PRIMARY KEY columns with equality relations"
" in order to delete non static columns");
}
// All primary key parts must be specified, unless this statement has only static column conditions
if (_regular_conditions.empty() == false) {
throw exceptions::invalid_request_exception(
"DELETE statements must restrict all PRIMARY KEY columns with equality relations"
" in order to use IF condition on non static columns");
}
}
}
modification_statement::json_cache_opt modification_statement::maybe_prepare_json_cache(const query_options& options) const {
return {};
}
const statement_type statement_type::INSERT = statement_type(statement_type::type::insert);
const statement_type statement_type::UPDATE = statement_type(statement_type::type::update);
const statement_type statement_type::DELETE = statement_type(statement_type::type::del);
const statement_type statement_type::SELECT = statement_type(statement_type::type::select);
namespace raw {
modification_statement::modification_statement(cf_name name, std::unique_ptr<attributes::raw> attrs, conditions_vector conditions, bool if_not_exists, bool if_exists)
: cf_statement{std::move(name)}
, _attrs{std::move(attrs)}
, _conditions{std::move(conditions)}
, _if_not_exists{if_not_exists}
, _if_exists{if_exists}
{ }
}
}
}
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