And reuse these values when handling `bounce_to_shard` messages. Otherwise such a function (e.g. `uuid()`) can yield a different value when a statement re-executed on the other shard. It can lead to an infinite number of `bounce_to_shard` messages sent in case the function value is used to calculate partition key ranges for the query. Which, in turn, will cause crashes since we don't support bouncing more than one time and the second hop will result in a crash. Caching works only for LWT statements and only for the function calls that affect partition key range computation for the query. `variable_specifications` class is renamed to `prepare_context` and generalized to record information about each `function_call` AST node and modify them, as needed: * Check whether a given function call is a part of partition key statement restriction. * Assign ids for caching if above is true and the call is a part of an LWT statement. There is no need to include any kind of statement identifier in the cache key since `query_options` (which holds the cache) is limited to a single statement, anyway. Note that `function_call::raw` AST nodes are not created for selection clauses of a SELECT statement hence they can only accept only one of the following things as parameters: * Other function calls. * Literal values. * Parameter markers. In other words, only parameters that can be immediately reduced to a byte buffer are allowed and we don't need to handle database inputs to non-pure functions separately since they are not possible in this context. Anyhow, we don't even have a single non-pure function that accepts arguments, so precautions are not needed at the moment. Tests: unit(dev, debug) Signed-off-by: Pavel Solodovnikov <pa.solodovnikov@scylladb.com>
481 lines
20 KiB
C++
481 lines
20 KiB
C++
/*
|
|
* Licensed to the Apache Software Foundation (ASF) under one
|
|
* or more contributor license agreements. See the NOTICE file
|
|
* distributed with this work for additional information
|
|
* regarding copyright ownership. The ASF licenses this file
|
|
* to you under the Apache License, Version 2.0 (the
|
|
* "License"); you may not use this file except in compliance
|
|
* with the License. You may obtain a copy of the License at
|
|
*
|
|
* http://www.apache.org/licenses/LICENSE-2.0
|
|
*
|
|
* Unless required by applicable law or agreed to in writing, software
|
|
* distributed under the License is distributed on an "AS IS" BASIS,
|
|
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
* See the License for the specific language governing permissions and
|
|
* limitations under the License.
|
|
*/
|
|
/*
|
|
* Modified by ScyllaDB
|
|
* Copyright (C) 2015-present 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 "batch_statement.hh"
|
|
#include "cql3/util.hh"
|
|
#include "raw/batch_statement.hh"
|
|
#include "db/config.hh"
|
|
#include "db/consistency_level_validations.hh"
|
|
#include "database.hh"
|
|
#include <seastar/core/execution_stage.hh>
|
|
#include "cas_request.hh"
|
|
#include "cql3/query_processor.hh"
|
|
#include "service/storage_proxy.hh"
|
|
|
|
#include <boost/algorithm/cxx11/any_of.hpp>
|
|
#include <boost/algorithm/cxx11/all_of.hpp>
|
|
#include <boost/range/adaptor/uniqued.hpp>
|
|
|
|
namespace cql3 {
|
|
|
|
namespace statements {
|
|
|
|
logging::logger batch_statement::_logger("BatchStatement");
|
|
|
|
timeout_config_selector
|
|
timeout_for_type(batch_statement::type t) {
|
|
return t == batch_statement::type::COUNTER
|
|
? &timeout_config::counter_write_timeout
|
|
: &timeout_config::write_timeout;
|
|
}
|
|
|
|
db::timeout_clock::duration batch_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();
|
|
}
|
|
|
|
batch_statement::batch_statement(int bound_terms, type type_,
|
|
std::vector<single_statement> statements,
|
|
std::unique_ptr<attributes> attrs,
|
|
cql_stats& stats)
|
|
: cql_statement_opt_metadata(timeout_for_type(type_))
|
|
, _bound_terms(bound_terms), _type(type_), _statements(std::move(statements))
|
|
, _attrs(std::move(attrs))
|
|
, _has_conditions(boost::algorithm::any_of(_statements, [] (auto&& s) { return s.statement->has_conditions(); }))
|
|
, _stats(stats)
|
|
{
|
|
validate();
|
|
if (has_conditions()) {
|
|
// A batch can be created not only by raw::batch_statement::prepare, but also by
|
|
// cql_server::connection::process_batch, which doesn't call any methods of
|
|
// cql3::statements::batch_statement, only constructs it. So let's call
|
|
// build_cas_result_set_metadata right from the constructor to avoid crash trying to access
|
|
// uninitialized batch metadata.
|
|
build_cas_result_set_metadata();
|
|
}
|
|
}
|
|
|
|
batch_statement::batch_statement(type type_,
|
|
std::vector<single_statement> statements,
|
|
std::unique_ptr<attributes> attrs,
|
|
cql_stats& stats)
|
|
: batch_statement(-1, type_, std::move(statements), std::move(attrs), stats)
|
|
{
|
|
}
|
|
|
|
bool batch_statement::depends_on_keyspace(const sstring& ks_name) const
|
|
{
|
|
return false;
|
|
}
|
|
|
|
bool batch_statement::depends_on_column_family(const sstring& cf_name) const
|
|
{
|
|
return false;
|
|
}
|
|
|
|
uint32_t batch_statement::get_bound_terms() const
|
|
{
|
|
return _bound_terms;
|
|
}
|
|
|
|
future<> batch_statement::check_access(service::storage_proxy& proxy, const service::client_state& state) const
|
|
{
|
|
return parallel_for_each(_statements.begin(), _statements.end(), [&proxy, &state](auto&& s) {
|
|
if (s.needs_authorization) {
|
|
return s.statement->check_access(proxy, state);
|
|
} else {
|
|
return make_ready_future<>();
|
|
}
|
|
});
|
|
}
|
|
|
|
void batch_statement::validate()
|
|
{
|
|
if (_attrs->is_time_to_live_set()) {
|
|
throw exceptions::invalid_request_exception("Global TTL on the BATCH statement is not supported.");
|
|
}
|
|
|
|
bool timestamp_set = _attrs->is_timestamp_set();
|
|
if (timestamp_set) {
|
|
if (_has_conditions) {
|
|
throw exceptions::invalid_request_exception("Cannot provide custom timestamp for conditional BATCH");
|
|
}
|
|
if (_type == type::COUNTER) {
|
|
throw exceptions::invalid_request_exception("Cannot provide custom timestamp for counter BATCH");
|
|
}
|
|
}
|
|
|
|
bool has_counters = boost::algorithm::any_of(_statements, [] (auto&& s) { return s.statement->is_counter(); });
|
|
bool has_non_counters = !boost::algorithm::all_of(_statements, [] (auto&& s) { return s.statement->is_counter(); });
|
|
if (timestamp_set && has_counters) {
|
|
throw exceptions::invalid_request_exception("Cannot provide custom timestamp for a BATCH containing counters");
|
|
}
|
|
if (timestamp_set && boost::algorithm::any_of(_statements, [] (auto&& s) { return s.statement->is_timestamp_set(); })) {
|
|
throw exceptions::invalid_request_exception("Timestamp must be set either on BATCH or individual statements");
|
|
}
|
|
if (_type == type::COUNTER && has_non_counters) {
|
|
throw exceptions::invalid_request_exception("Cannot include non-counter statement in a counter batch");
|
|
}
|
|
if (_type == type::LOGGED && has_counters) {
|
|
throw exceptions::invalid_request_exception("Cannot include a counter statement in a logged batch");
|
|
}
|
|
if (has_counters && has_non_counters) {
|
|
throw exceptions::invalid_request_exception("Counter and non-counter mutations cannot exist in the same batch");
|
|
}
|
|
|
|
if (_has_conditions
|
|
&& !_statements.empty()
|
|
&& (boost::distance(_statements
|
|
| boost::adaptors::transformed([] (auto&& s) { return s.statement->keyspace(); })
|
|
| boost::adaptors::uniqued) != 1
|
|
|| (boost::distance(_statements
|
|
| boost::adaptors::transformed([] (auto&& s) { return s.statement->column_family(); })
|
|
| boost::adaptors::uniqued) != 1))) {
|
|
throw exceptions::invalid_request_exception("BATCH with conditions cannot span multiple tables");
|
|
}
|
|
std::optional<bool> raw_counter;
|
|
for (auto& s : _statements) {
|
|
if (raw_counter && s.statement->is_raw_counter_shard_write() != *raw_counter) {
|
|
throw exceptions::invalid_request_exception("Cannot mix raw and regular counter statements in batch");
|
|
}
|
|
raw_counter = s.statement->is_raw_counter_shard_write();
|
|
}
|
|
}
|
|
|
|
void batch_statement::validate(service::storage_proxy& proxy, const service::client_state& state) const
|
|
{
|
|
for (auto&& s : _statements) {
|
|
s.statement->validate(proxy, state);
|
|
}
|
|
}
|
|
|
|
const std::vector<batch_statement::single_statement>& batch_statement::get_statements()
|
|
{
|
|
return _statements;
|
|
}
|
|
|
|
future<std::vector<mutation>> batch_statement::get_mutations(service::storage_proxy& storage, const query_options& options,
|
|
db::timeout_clock::time_point timeout, bool local, api::timestamp_type now, service::query_state& query_state) const {
|
|
// Do not process in parallel because operations like list append/prepend depend on execution order.
|
|
using mutation_set_type = std::unordered_set<mutation, mutation_hash_by_key, mutation_equals_by_key>;
|
|
return do_with(mutation_set_type(), [this, &storage, &options, timeout, now, local, &query_state] (auto& result) mutable {
|
|
result.reserve(_statements.size());
|
|
return do_for_each(boost::make_counting_iterator<size_t>(0),
|
|
boost::make_counting_iterator<size_t>(_statements.size()),
|
|
[this, &storage, &options, now, local, &result, timeout, &query_state] (size_t i) {
|
|
auto&& statement = _statements[i].statement;
|
|
statement->inc_cql_stats(query_state.get_client_state().is_internal());
|
|
auto&& statement_options = options.for_statement(i);
|
|
auto timestamp = _attrs->get_timestamp(now, statement_options);
|
|
return statement->get_mutations(storage, statement_options, timeout, local, timestamp, query_state).then([&result] (auto&& more) {
|
|
for (auto&& m : more) {
|
|
// We want unordered_set::try_emplace(), but we don't have it
|
|
auto pos = result.find(m);
|
|
if (pos == result.end()) {
|
|
result.emplace(std::move(m));
|
|
} else {
|
|
const_cast<mutation&>(*pos).apply(std::move(m)); // Won't change key
|
|
}
|
|
}
|
|
});
|
|
}).then([&result] {
|
|
// can't use range adaptors, because we want to move
|
|
auto vresult = std::vector<mutation>();
|
|
vresult.reserve(result.size());
|
|
for (auto&& m : result) {
|
|
vresult.push_back(std::move(m));
|
|
}
|
|
return vresult;
|
|
});
|
|
});
|
|
}
|
|
|
|
void batch_statement::verify_batch_size(service::storage_proxy& proxy, const std::vector<mutation>& mutations) {
|
|
if (mutations.size() <= 1) {
|
|
return; // We only warn for batch spanning multiple mutations
|
|
}
|
|
|
|
size_t warn_threshold = proxy.get_db().local().get_config().batch_size_warn_threshold_in_kb() * 1024;
|
|
size_t fail_threshold = proxy.get_db().local().get_config().batch_size_fail_threshold_in_kb() * 1024;
|
|
|
|
size_t size = 0;
|
|
for (auto&m : mutations) {
|
|
size += m.partition().external_memory_usage(*m.schema());
|
|
}
|
|
|
|
if (size > warn_threshold) {
|
|
auto error = [&] (const char* type, size_t threshold) -> sstring {
|
|
std::unordered_set<sstring> ks_cf_pairs;
|
|
for (auto&& m : mutations) {
|
|
ks_cf_pairs.insert(m.schema()->ks_name() + "." + m.schema()->cf_name());
|
|
}
|
|
return format("Batch modifying {:d} partitions in {} is of size {:d} bytes, exceeding specified {} threshold of {:d} by {:d}.",
|
|
mutations.size(), join(", ", ks_cf_pairs), size, type, threshold, size - threshold);
|
|
};
|
|
if (size > fail_threshold) {
|
|
_logger.error(error("FAIL", fail_threshold).c_str());
|
|
throw exceptions::invalid_request_exception("Batch too large");
|
|
} else {
|
|
_logger.warn(error("WARN", warn_threshold).c_str());
|
|
}
|
|
}
|
|
}
|
|
|
|
struct batch_statement_executor {
|
|
static auto get() { return &batch_statement::do_execute; }
|
|
};
|
|
static thread_local inheriting_concrete_execution_stage<
|
|
future<shared_ptr<cql_transport::messages::result_message>>,
|
|
const batch_statement*,
|
|
service::storage_proxy&,
|
|
service::query_state&,
|
|
const query_options&,
|
|
bool,
|
|
api::timestamp_type> batch_stage{"cql3_batch", batch_statement_executor::get()};
|
|
|
|
future<shared_ptr<cql_transport::messages::result_message>> batch_statement::execute(
|
|
query_processor& qp, service::query_state& state, const query_options& options) const {
|
|
service::storage_proxy& storage = qp.proxy();
|
|
cql3::util::validate_timestamp(options, _attrs);
|
|
return batch_stage(this, seastar::ref(storage), seastar::ref(state),
|
|
seastar::cref(options), false, options.get_timestamp(state));
|
|
}
|
|
|
|
future<shared_ptr<cql_transport::messages::result_message>> batch_statement::do_execute(
|
|
service::storage_proxy& storage,
|
|
service::query_state& query_state, const query_options& options,
|
|
bool local, api::timestamp_type now) const
|
|
{
|
|
// FIXME: we don't support nulls here
|
|
#if 0
|
|
if (options.get_consistency() == null)
|
|
throw new InvalidRequestException("Invalid empty consistency level");
|
|
if (options.getSerialConsistency() == null)
|
|
throw new InvalidRequestException("Invalid empty serial consistency level");
|
|
#endif
|
|
if (_has_conditions) {
|
|
++_stats.cas_batches;
|
|
_stats.statements_in_cas_batches += _statements.size();
|
|
return execute_with_conditions(storage, options, query_state);
|
|
}
|
|
|
|
++_stats.batches;
|
|
_stats.statements_in_batches += _statements.size();
|
|
|
|
auto timeout = db::timeout_clock::now() + get_timeout(query_state.get_client_state(), options);
|
|
return get_mutations(storage, options, timeout, local, now, query_state).then([this, &storage, &options, timeout, tr_state = query_state.get_trace_state(),
|
|
permit = query_state.get_permit()] (std::vector<mutation> ms) mutable {
|
|
return execute_without_conditions(storage, std::move(ms), options.get_consistency(), timeout, std::move(tr_state), std::move(permit));
|
|
}).then([] {
|
|
return make_ready_future<shared_ptr<cql_transport::messages::result_message>>(
|
|
make_shared<cql_transport::messages::result_message::void_message>());
|
|
});
|
|
}
|
|
|
|
future<> batch_statement::execute_without_conditions(
|
|
service::storage_proxy& storage,
|
|
std::vector<mutation> mutations,
|
|
db::consistency_level cl,
|
|
db::timeout_clock::time_point timeout,
|
|
tracing::trace_state_ptr tr_state,
|
|
service_permit permit) const
|
|
{
|
|
// FIXME: do we need to do this?
|
|
#if 0
|
|
// Extract each collection of cfs from it's IMutation and then lazily concatenate all of them into a single Iterable.
|
|
Iterable<ColumnFamily> cfs = Iterables.concat(Iterables.transform(mutations, new Function<IMutation, Collection<ColumnFamily>>()
|
|
{
|
|
public Collection<ColumnFamily> apply(IMutation im)
|
|
{
|
|
return im.getColumnFamilies();
|
|
}
|
|
}));
|
|
#endif
|
|
verify_batch_size(storage, mutations);
|
|
|
|
bool mutate_atomic = true;
|
|
if (_type != type::LOGGED) {
|
|
_stats.batches_pure_unlogged += 1;
|
|
mutate_atomic = false;
|
|
} else {
|
|
if (mutations.size() > 1) {
|
|
_stats.batches_pure_logged += 1;
|
|
} else {
|
|
_stats.batches_unlogged_from_logged += 1;
|
|
mutate_atomic = false;
|
|
}
|
|
}
|
|
return storage.mutate_with_triggers(std::move(mutations), cl, timeout, mutate_atomic, std::move(tr_state), std::move(permit));
|
|
}
|
|
|
|
future<shared_ptr<cql_transport::messages::result_message>> batch_statement::execute_with_conditions(
|
|
service::storage_proxy& proxy,
|
|
const query_options& options,
|
|
service::query_state& qs) const {
|
|
|
|
auto cl_for_learn = options.get_consistency();
|
|
auto cl_for_paxos = options.check_serial_consistency();
|
|
seastar::shared_ptr<cas_request> request;
|
|
schema_ptr schema;
|
|
|
|
db::timeout_clock::time_point now = db::timeout_clock::now();
|
|
const timeout_config& cfg = qs.get_client_state().get_timeout_config();
|
|
auto batch_timeout = now + cfg.write_timeout; // Statement timeout.
|
|
auto cas_timeout = now + cfg.cas_timeout; // Ballot contention timeout.
|
|
auto read_timeout = now + cfg.read_timeout; // Query timeout.
|
|
|
|
computed_function_values cached_fn_calls;
|
|
|
|
for (size_t i = 0; i < _statements.size(); ++i) {
|
|
|
|
modification_statement& statement = *_statements[i].statement;
|
|
const query_options& statement_options = options.for_statement(i);
|
|
|
|
statement.inc_cql_stats(qs.get_client_state().is_internal());
|
|
modification_statement::json_cache_opt json_cache = statement.maybe_prepare_json_cache(statement_options);
|
|
// At most one key
|
|
std::vector<dht::partition_range> keys = statement.build_partition_keys(statement_options, json_cache);
|
|
if (keys.empty()) {
|
|
continue;
|
|
}
|
|
if (request.get() == nullptr) {
|
|
schema = statement.s;
|
|
request = seastar::make_shared<cas_request>(schema, std::move(keys));
|
|
} else if (keys.size() != 1 || keys.front().equal(request->key().front(), dht::ring_position_comparator(*schema)) == false) {
|
|
throw exceptions::invalid_request_exception("BATCH with conditions cannot span multiple partitions");
|
|
}
|
|
cached_fn_calls.merge(std::move(const_cast<cql3::query_options&>(statement_options).take_cached_pk_function_calls()));
|
|
|
|
std::vector<query::clustering_range> ranges = statement.create_clustering_ranges(statement_options, json_cache);
|
|
|
|
request->add_row_update(statement, std::move(ranges), std::move(json_cache), statement_options);
|
|
}
|
|
if (request.get() == nullptr) {
|
|
throw exceptions::invalid_request_exception(format("Unrestricted partition key in a conditional BATCH"));
|
|
}
|
|
|
|
auto shard = service::storage_proxy::cas_shard(*_statements[0].statement->s, request->key()[0].start()->value().as_decorated_key().token());
|
|
if (shard != this_shard_id()) {
|
|
proxy.get_stats().replica_cross_shard_ops++;
|
|
return make_ready_future<shared_ptr<cql_transport::messages::result_message>>(
|
|
::make_shared<cql_transport::messages::result_message::bounce_to_shard>(shard, std::move(cached_fn_calls)));
|
|
}
|
|
|
|
return proxy.cas(schema, request, request->read_command(proxy), request->key(),
|
|
{read_timeout, qs.get_permit(), qs.get_client_state(), qs.get_trace_state()},
|
|
cl_for_paxos, cl_for_learn, batch_timeout, cas_timeout).then([this, request] (bool is_applied) {
|
|
return request->build_cas_result_set(_metadata, _columns_of_cas_result_set, is_applied);
|
|
});
|
|
}
|
|
|
|
void batch_statement::build_cas_result_set_metadata() {
|
|
if (_statements.empty()) {
|
|
return;
|
|
}
|
|
const auto& schema = *_statements.front().statement->s;
|
|
|
|
_columns_of_cas_result_set.resize(schema.all_columns_count());
|
|
|
|
// Add the mandatory [applied] column to result set metadata
|
|
std::vector<lw_shared_ptr<column_specification>> columns;
|
|
|
|
auto applied = make_lw_shared<cql3::column_specification>(schema.ks_name(), schema.cf_name(),
|
|
::make_shared<cql3::column_identifier>("[applied]", false), boolean_type);
|
|
columns.push_back(applied);
|
|
|
|
for (const auto& def : boost::range::join(schema.partition_key_columns(), schema.clustering_key_columns())) {
|
|
_columns_of_cas_result_set.set(def.ordinal_id);
|
|
}
|
|
for (const auto& s : _statements) {
|
|
_columns_of_cas_result_set.union_with(s.statement->columns_of_cas_result_set());
|
|
}
|
|
columns.reserve(_columns_of_cas_result_set.count());
|
|
for (const auto& def : schema.all_columns()) {
|
|
if (_columns_of_cas_result_set.test(def.ordinal_id)) {
|
|
columns.emplace_back(def.column_specification);
|
|
}
|
|
}
|
|
_metadata = seastar::make_shared<cql3::metadata>(std::move(columns));
|
|
}
|
|
|
|
namespace raw {
|
|
|
|
std::unique_ptr<prepared_statement>
|
|
batch_statement::prepare(database& db, cql_stats& stats) {
|
|
auto&& meta = get_prepare_context();
|
|
|
|
std::optional<sstring> first_ks;
|
|
std::optional<sstring> first_cf;
|
|
bool have_multiple_cfs = false;
|
|
|
|
std::vector<cql3::statements::batch_statement::single_statement> statements;
|
|
statements.reserve(_parsed_statements.size());
|
|
|
|
for (auto&& parsed : _parsed_statements) {
|
|
if (!first_ks) {
|
|
first_ks = parsed->keyspace();
|
|
first_cf = parsed->column_family();
|
|
} else {
|
|
have_multiple_cfs = first_ks.value() != parsed->keyspace() || first_cf.value() != parsed->column_family();
|
|
}
|
|
statements.emplace_back(parsed->prepare(db, meta, stats));
|
|
}
|
|
|
|
auto&& prep_attrs = _attrs->prepare(db, "[batch]", "[batch]");
|
|
prep_attrs->fill_prepare_context(meta);
|
|
|
|
cql3::statements::batch_statement batch_statement_(meta.bound_variables_size(), _type, std::move(statements), std::move(prep_attrs), stats);
|
|
|
|
std::vector<uint16_t> partition_key_bind_indices;
|
|
if (!have_multiple_cfs && batch_statement_.get_statements().size() > 0) {
|
|
partition_key_bind_indices = meta.get_partition_key_bind_indexes(*batch_statement_.get_statements()[0].statement->s);
|
|
}
|
|
return std::make_unique<prepared_statement>(make_shared<cql3::statements::batch_statement>(std::move(batch_statement_)),
|
|
meta.get_variable_specifications(),
|
|
std::move(partition_key_bind_indices));
|
|
}
|
|
|
|
}
|
|
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|