Files
scylladb/db/schema_tables.cc
Duarte Nunes be12a2bf0a db/schema_tables: Atomically publish base and view changes
This patch ensures that the schema merging atomically publishes
schema changes. In particular, it ensures that when a base schema
and a subset of its views are modified together (i.e., upon an alter
table or alter type statement), then they are published together as
well, without any deferring in-between.

Signed-off-by: Duarte Nunes <duarte@scylladb.com>
2017-03-15 16:35:07 +01:00

2215 lines
97 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 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 "db/schema_tables.hh"
#include "service/migration_manager.hh"
#include "partition_slice_builder.hh"
#include "dht/i_partitioner.hh"
#include "system_keyspace.hh"
#include "query_context.hh"
#include "query-result-set.hh"
#include "query-result-writer.hh"
#include "schema_builder.hh"
#include "map_difference.hh"
#include "utils/UUID_gen.hh"
#include "core/do_with.hh"
#include "core/thread.hh"
#include "json.hh"
#include "log.hh"
#include "frozen_schema.hh"
#include "schema_registry.hh"
#include "mutation_query.hh"
#include "db/marshal/type_parser.hh"
#include "db/config.hh"
#include "md5_hasher.hh"
#include <boost/range/algorithm/copy.hpp>
#include <boost/range/adaptor/map.hpp>
#include <boost/range/join.hpp>
#include "compaction_strategy.hh"
#include "utils/joinpoint.hh"
#include "view_info.hh"
using namespace db::system_keyspace;
using namespace std::chrono_literals;
/** system.schema_* tables used to store keyspace/table/type attributes prior to C* 3.0 */
namespace db {
namespace schema_tables {
logging::logger logger("schema_tables");
struct push_back_and_return {
std::vector<mutation> muts;
std::vector<mutation> operator()(mutation&& m) {
muts.emplace_back(std::move(m));
return std::move(muts);
}
};
struct qualified_name {
sstring keyspace_name;
sstring table_name;
qualified_name(sstring keyspace_name, sstring table_name)
: keyspace_name(std::move(keyspace_name))
, table_name(std::move(table_name))
{ }
qualified_name(const schema_ptr& s)
: keyspace_name(s->ks_name())
, table_name(s->cf_name())
{ }
bool operator<(const qualified_name& o) const {
return keyspace_name < o.keyspace_name
|| (keyspace_name == o.keyspace_name && table_name < o.table_name);
}
bool operator==(const qualified_name& o) const {
return keyspace_name == o.keyspace_name && table_name == o.table_name;
}
};
static future<schema_mutations> read_table_mutations(distributed<service::storage_proxy>& proxy, const qualified_name& table, schema_ptr s);
static void merge_tables_and_views(distributed<service::storage_proxy>& proxy,
std::map<qualified_name, schema_mutations>&& tables_before,
std::map<qualified_name, schema_mutations>&& tables_after,
std::map<qualified_name, schema_mutations>&& views_before,
std::map<qualified_name, schema_mutations>&& views_after);
static void merge_types(distributed<service::storage_proxy>& proxy,
schema_result&& before,
schema_result&& after);
std::vector<const char*> ALL { KEYSPACES, COLUMNFAMILIES, COLUMNS, TRIGGERS, USERTYPES, VIEWS, FUNCTIONS, AGGREGATES };
using days = std::chrono::duration<int, std::ratio<24 * 3600>>;
/* static */ schema_ptr keyspaces() {
static thread_local auto keyspaces = [] {
schema_builder builder(make_lw_shared(schema(generate_legacy_id(NAME, KEYSPACES), NAME, KEYSPACES,
// partition key
{{"keyspace_name", utf8_type}},
// clustering key
{},
// regular columns
{
{"durable_writes", boolean_type},
{"strategy_class", utf8_type},
{"strategy_options", utf8_type},
},
// static columns
{},
// regular column name type
utf8_type,
// comment
"keyspace definitions"
)));
builder.set_gc_grace_seconds(std::chrono::duration_cast<std::chrono::seconds>(days(7)).count());
builder.with(schema_builder::compact_storage::yes);
builder.with_version(generate_schema_version(builder.uuid()));
return builder.build();
}();
return keyspaces;
}
/* static */ schema_ptr columnfamilies() {
static thread_local auto columnfamilies = [] {
schema_builder builder(make_lw_shared(schema(generate_legacy_id(NAME, COLUMNFAMILIES), NAME, COLUMNFAMILIES,
// partition key
{{"keyspace_name", utf8_type}},
// clustering key
{{"columnfamily_name", utf8_type}},
// regular columns
{
{"bloom_filter_fp_chance", double_type},
{"caching", utf8_type},
{"cf_id", uuid_type},
{"comment", utf8_type},
{"compaction_strategy_class", utf8_type},
{"compaction_strategy_options", utf8_type},
{"comparator", utf8_type},
{"compression_parameters", utf8_type},
{"default_time_to_live", int32_type},
{"default_validator", utf8_type},
{"dropped_columns", map_type_impl::get_instance(utf8_type, long_type, true)},
{"gc_grace_seconds", int32_type},
{"is_dense", boolean_type},
{"key_validator", utf8_type},
{"local_read_repair_chance", double_type},
{"max_compaction_threshold", int32_type},
{"max_index_interval", int32_type},
{"memtable_flush_period_in_ms", int32_type},
{"min_compaction_threshold", int32_type},
{"min_index_interval", int32_type},
{"read_repair_chance", double_type},
{"speculative_retry", utf8_type},
{"subcomparator", utf8_type},
{"type", utf8_type},
// The following 4 columns are only present up until 2.1.8 tables
{"key_aliases", utf8_type},
{"value_alias", utf8_type},
{"column_aliases", utf8_type},
{"index_interval", int32_type},
},
// static columns
{},
// regular column name type
utf8_type,
// comment
"table definitions"
)));
builder.set_gc_grace_seconds(std::chrono::duration_cast<std::chrono::seconds>(days(7)).count());
builder.with(schema_builder::compact_storage::no);
builder.with_version(generate_schema_version(builder.uuid()));
return builder.build();
}();
return columnfamilies;
}
/* static */ schema_ptr columns() {
static thread_local auto columns = [] {
schema_builder builder(make_lw_shared(schema(generate_legacy_id(NAME, COLUMNS), NAME, COLUMNS,
// partition key
{{"keyspace_name", utf8_type}},
// clustering key
{{"columnfamily_name", utf8_type}, {"column_name", utf8_type}},
// regular columns
{
{"component_index", int32_type},
{"index_name", utf8_type},
{"index_options", utf8_type},
{"index_type", utf8_type},
{"type", utf8_type},
{"validator", utf8_type},
},
// static columns
{},
// regular column name type
utf8_type,
// comment
"column definitions"
)));
builder.set_gc_grace_seconds(std::chrono::duration_cast<std::chrono::seconds>(days(7)).count());
builder.with(schema_builder::compact_storage::no);
builder.with_version(generate_schema_version(builder.uuid()));
return builder.build();
}();
return columns;
}
/* static */ schema_ptr triggers() {
static thread_local auto triggers = [] {
schema_builder builder(make_lw_shared(schema(generate_legacy_id(NAME, TRIGGERS), NAME, TRIGGERS,
// partition key
{{"keyspace_name", utf8_type}},
// clustering key
{{"columnfamily_name", utf8_type}, {"trigger_name", utf8_type}},
// regular columns
{
{"trigger_options", map_type_impl::get_instance(utf8_type, utf8_type, true)},
},
// static columns
{},
// regular column name type
utf8_type,
// comment
"trigger definitions"
)));
builder.set_gc_grace_seconds(std::chrono::duration_cast<std::chrono::seconds>(days(7)).count());
builder.with(schema_builder::compact_storage::no);
builder.with_version(generate_schema_version(builder.uuid()));
return builder.build();
}();
return triggers;
}
/* static */ schema_ptr usertypes() {
static thread_local auto usertypes = [] {
schema_builder builder(make_lw_shared(schema(generate_legacy_id(NAME, USERTYPES), NAME, USERTYPES,
// partition key
{{"keyspace_name", utf8_type}},
// clustering key
{{"type_name", utf8_type}},
// regular columns
{
{"field_names", list_type_impl::get_instance(utf8_type, true)},
{"field_types", list_type_impl::get_instance(utf8_type, true)},
},
// static columns
{},
// regular column name type
utf8_type,
// comment
"user defined type definitions"
)));
builder.set_gc_grace_seconds(std::chrono::duration_cast<std::chrono::seconds>(days(7)).count());
builder.with(schema_builder::compact_storage::no);
builder.with_version(generate_schema_version(builder.uuid()));
return builder.build();
}();
return usertypes;
}
/* static */ schema_ptr functions() {
static thread_local auto functions = [] {
schema_builder builder(make_lw_shared(schema(generate_legacy_id(NAME, FUNCTIONS), NAME, FUNCTIONS,
// partition key
{{"keyspace_name", utf8_type}},
// clustering key
{{"function_name", utf8_type}, {"signature", bytes_type}},
// regular columns
{
{"argument_names", list_type_impl::get_instance(utf8_type, true)},
{"argument_types", list_type_impl::get_instance(utf8_type, true)},
{"body", utf8_type},
{"is_deterministic", boolean_type},
{"language", utf8_type},
{"return_type", utf8_type},
},
// static columns
{},
// regular column name type
utf8_type,
// comment
"user defined type definitions"
)));
builder.set_gc_grace_seconds(std::chrono::duration_cast<std::chrono::seconds>(days(7)).count());
builder.with(schema_builder::compact_storage::no);
builder.with_version(generate_schema_version(builder.uuid()));
return builder.build();
}();
return functions;
}
/* static */ schema_ptr aggregates() {
static thread_local auto aggregates = [] {
schema_builder builder(make_lw_shared(schema(generate_legacy_id(NAME, AGGREGATES), NAME, AGGREGATES,
// partition key
{{"keyspace_name", utf8_type}},
// clustering key
{{"aggregate_name", utf8_type}, {"signature", bytes_type}},
// regular columns
{
{"argument_types", list_type_impl::get_instance(utf8_type, true)},
{"final_func", utf8_type},
{"intercond", bytes_type},
{"return_type", utf8_type},
{"state_func", utf8_type},
{"state_type", utf8_type},
},
// static columns
{},
// regular column name type
utf8_type,
// comment
"user defined aggregate definitions"
)));
builder.set_gc_grace_seconds(std::chrono::duration_cast<std::chrono::seconds>(days(7)).count());
builder.with(schema_builder::compact_storage::no);
builder.with_version(generate_schema_version(builder.uuid()));
return builder.build();
}();
return aggregates;
}
/** add entries to system.schema_* for the hardcoded system definitions */
future<> save_system_keyspace_schema() {
auto& ks = db::qctx->db().find_keyspace(db::system_keyspace::NAME);
auto ksm = ks.metadata();
// delete old, possibly obsolete entries in schema tables
return parallel_for_each(ALL, [ksm] (sstring cf) {
auto deletion_timestamp = schema_creation_timestamp() - 1;
return db::execute_cql(sprint("DELETE FROM system.%%s USING TIMESTAMP %s WHERE keyspace_name = ?",
deletion_timestamp), cf, ksm->name()).discard_result();
}).then([ksm] {
auto mvec = make_create_keyspace_mutations(ksm, schema_creation_timestamp(), true);
return qctx->proxy().mutate_locally(std::move(mvec));
});
}
/* static */ schema_ptr views() {
static thread_local auto views = [] {
schema_builder builder(make_lw_shared(schema(generate_legacy_id(NAME, VIEWS), NAME, VIEWS,
// partition key
{{"keyspace_name", utf8_type}},
// clustering key
{{"view_name", utf8_type}},
// regular columns
{
{"base_table_id", uuid_type},
{"base_table_name", utf8_type},
{"where_clause", utf8_type},
{"bloom_filter_fp_chance", double_type},
{"caching", utf8_type},
{"comment", utf8_type},
{"compaction_strategy_class", utf8_type},
{"compaction_strategy_options", utf8_type},
{"comparator", utf8_type},
{"compression_parameters", utf8_type},
{"local_read_repair_chance", double_type},
{"default_time_to_live", int32_type},
{"gc_grace_seconds", int32_type},
{"key_validator", utf8_type},
{"id", uuid_type},
{"include_all_columns", boolean_type},
{"max_compaction_threshold", int32_type},
{"max_index_interval", int32_type},
{"memtable_flush_period_in_ms", int32_type},
{"min_compaction_threshold", int32_type},
{"min_index_interval", int32_type},
{"read_repair_chance", double_type},
{"speculative_retry", utf8_type},
{"dropped_columns", map_type_impl::get_instance(utf8_type, long_type, true)},
},
// static columns
{},
// regular column name type
utf8_type,
// comment
"view definitions"
)));
builder.set_gc_grace_seconds(std::chrono::duration_cast<std::chrono::seconds>(days(7)).count());
builder.with(schema_builder::compact_storage::no);
builder.with_version(generate_schema_version(builder.uuid()));
return builder.build();
}();
return views;
}
#if 0
public static void truncateSchemaTables()
{
for (String table : ALL)
getSchemaCFS(table).truncateBlocking();
}
private static void flushSchemaTables()
{
for (String table : ALL)
SystemKeyspace.forceBlockingFlush(table);
}
#endif
/**
* Read schema from system keyspace and calculate MD5 digest of every row, resulting digest
* will be converted into UUID which would act as content-based version of the schema.
*/
future<utils::UUID> calculate_schema_digest(distributed<service::storage_proxy>& proxy)
{
auto map = [&proxy] (sstring table) {
return db::system_keyspace::query_mutations(proxy, table).then([&proxy, table] (auto rs) {
auto s = proxy.local().get_db().local().find_schema(system_keyspace::NAME, table);
std::vector<mutation> mutations;
for (auto&& p : rs->partitions()) {
auto mut = p.mut().unfreeze(s);
auto partition_key = value_cast<sstring>(utf8_type->deserialize(mut.key().get_component(*s, 0)));
if (partition_key == system_keyspace::NAME) {
continue;
}
mutations.emplace_back(std::move(mut));
}
return mutations;
});
};
auto reduce = [] (auto& hash, auto&& mutations) {
for (const mutation& m : mutations) {
feed_hash_for_schema_digest(hash, m);
}
};
return do_with(md5_hasher(), [map, reduce] (auto& hash) {
return do_for_each(ALL.begin(), ALL.end(), [&hash, map, reduce] (auto& table) {
return map(table).then([&hash, reduce] (auto&& mutations) {
reduce(hash, mutations);
});
}).then([&hash] {
return make_ready_future<utils::UUID>(utils::UUID_gen::get_name_UUID(hash.finalize()));
});
});
}
future<std::vector<frozen_mutation>> convert_schema_to_mutations(distributed<service::storage_proxy>& proxy)
{
auto map = [&proxy] (sstring table) {
return db::system_keyspace::query_mutations(proxy, table).then([&proxy, table] (auto rs) {
auto s = proxy.local().get_db().local().find_schema(system_keyspace::NAME, table);
std::vector<frozen_mutation> results;
for (auto&& p : rs->partitions()) {
auto mut = p.mut().unfreeze(s);
auto partition_key = value_cast<sstring>(utf8_type->deserialize(mut.key().get_component(*s, 0)));
if (partition_key == system_keyspace::NAME) {
continue;
}
results.emplace_back(std::move(p.mut()));
}
return results;
});
};
auto reduce = [] (auto&& result, auto&& mutations) {
std::move(mutations.begin(), mutations.end(), std::back_inserter(result));
return std::move(result);
};
return map_reduce(ALL.begin(), ALL.end(), map, std::vector<frozen_mutation>{}, reduce);
}
future<schema_result>
read_schema_for_keyspaces(distributed<service::storage_proxy>& proxy, const sstring& schema_table_name, const std::set<sstring>& keyspace_names)
{
auto schema = proxy.local().get_db().local().find_schema(system_keyspace::NAME, schema_table_name);
auto map = [&proxy, schema_table_name] (const sstring& keyspace_name) { return read_schema_partition_for_keyspace(proxy, schema_table_name, keyspace_name); };
auto insert = [] (schema_result&& result, auto&& schema_entity) {
if (!schema_entity.second->empty()) {
result.insert(std::move(schema_entity));
}
return std::move(result);
};
return map_reduce(keyspace_names.begin(), keyspace_names.end(), map, schema_result{}, insert);
}
static
future<mutation> query_partition_mutation(service::storage_proxy& proxy,
schema_ptr s,
lw_shared_ptr<query::read_command> cmd,
partition_key pkey)
{
auto dk = dht::global_partitioner().decorate_key(*s, pkey);
return do_with(dht::partition_range::make_singular(dk), [&proxy, dk, s = std::move(s), cmd = std::move(cmd)] (auto& range) {
return proxy.query_mutations_locally(s, std::move(cmd), range)
.then([dk = std::move(dk), s](foreign_ptr<lw_shared_ptr<reconcilable_result>> res) {
auto&& partitions = res->partitions();
if (partitions.size() == 0) {
return mutation(std::move(dk), s);
} else if (partitions.size() == 1) {
return partitions[0].mut().unfreeze(s);
} else {
assert(false && "Results must have at most one partition");
}
});
});
}
future<schema_result_value_type>
read_schema_partition_for_keyspace(distributed<service::storage_proxy>& proxy, const sstring& schema_table_name, const sstring& keyspace_name)
{
auto schema = proxy.local().get_db().local().find_schema(system_keyspace::NAME, schema_table_name);
auto keyspace_key = dht::global_partitioner().decorate_key(*schema,
partition_key::from_singular(*schema, keyspace_name));
return db::system_keyspace::query(proxy, schema_table_name, keyspace_key).then([keyspace_name] (auto&& rs) {
return schema_result_value_type{keyspace_name, std::move(rs)};
});
}
future<mutation>
read_schema_partition_for_table(distributed<service::storage_proxy>& proxy, schema_ptr schema, const sstring& keyspace_name, const sstring& table_name)
{
auto keyspace_key = partition_key::from_singular(*schema, keyspace_name);
auto clustering_range = query::clustering_range(clustering_key_prefix::from_clustering_prefix(
*schema, exploded_clustering_prefix({utf8_type->decompose(table_name)})));
auto slice = partition_slice_builder(*schema)
.with_range(std::move(clustering_range))
.build();
auto cmd = make_lw_shared<query::read_command>(schema->id(), schema->version(), std::move(slice), query::max_rows);
return query_partition_mutation(proxy.local(), std::move(schema), std::move(cmd), std::move(keyspace_key));
}
future<mutation>
read_keyspace_mutation(distributed<service::storage_proxy>& proxy, const sstring& keyspace_name) {
schema_ptr s = keyspaces();
auto key = partition_key::from_singular(*s, keyspace_name);
auto cmd = make_lw_shared<query::read_command>(s->id(), s->version(), query::full_slice);
return query_partition_mutation(proxy.local(), std::move(s), std::move(cmd), std::move(key));
}
static semaphore the_merge_lock {1};
future<> merge_lock() {
// ref: #1088
// to avoid deadlocks, we don't want long-standing calls to the shard 0
// as they can cause a deadlock:
//
// fiber1 fiber2
// merge_lock() (succeeds)
// merge_lock() (waits)
// invoke_on_all() (waits on merge_lock to relinquish smp::submit_to slot)
//
// so we issue the lock calls with a timeout; the slot will be relinquished, and invoke_on_all()
// can complete
return repeat([] () mutable {
return smp::submit_to(0, [] {
return the_merge_lock.try_wait();
}).then([] (bool result) {
if (result) {
return make_ready_future<stop_iteration>(stop_iteration::yes);
} else {
static thread_local auto rand_engine = std::default_random_engine();
auto dist = std::uniform_int_distribution<int>(0, 100);
auto to = std::chrono::microseconds(dist(rand_engine));
return sleep(to).then([] {
return make_ready_future<stop_iteration>(stop_iteration::no);
});
}
});
});
}
future<> merge_unlock() {
return smp::submit_to(0, [] { the_merge_lock.signal(); });
}
/**
* Merge remote schema in form of mutations with local and mutate ks/cf metadata objects
* (which also involves fs operations on add/drop ks/cf)
*
* @param mutations the schema changes to apply
*
* @throws ConfigurationException If one of metadata attributes has invalid value
* @throws IOException If data was corrupted during transportation or failed to apply fs operations
*/
future<> merge_schema(distributed<service::storage_proxy>& proxy, std::vector<mutation> mutations)
{
return merge_lock().then([&proxy, mutations = std::move(mutations)] () mutable {
return do_merge_schema(proxy, std::move(mutations), true).then([&proxy] {
return update_schema_version_and_announce(proxy);
});
}).finally([] {
return merge_unlock();
});
}
future<> merge_schema(distributed<service::storage_proxy>& proxy, std::vector<mutation> mutations, bool do_flush)
{
return merge_lock().then([&proxy, mutations = std::move(mutations), do_flush] () mutable {
return do_merge_schema(proxy, std::move(mutations), do_flush);
}).finally([] {
return merge_unlock();
});
}
// Returns names of live table definitions of given keyspace
future<std::vector<sstring>>
static read_table_names_of_keyspace(distributed<service::storage_proxy>& proxy, const sstring& keyspace_name, schema_ptr schema_table) {
auto pkey = dht::global_partitioner().decorate_key(*schema_table, partition_key::from_singular(*schema_table, keyspace_name));
return db::system_keyspace::query(proxy, schema_table->cf_name(), pkey).then([schema_table] (auto&& rs) {
return boost::copy_range<std::vector<sstring>>(rs->rows() | boost::adaptors::transformed([schema_table] (const query::result_set_row& row) {
const sstring name = schema_table->clustering_key_columns().begin()->name_as_text();
return row.get_nonnull<sstring>(name);
}));
});
}
// Call inside a seastar thread
static
std::map<qualified_name, schema_mutations>
read_tables_for_keyspaces(distributed<service::storage_proxy>& proxy, const std::set<sstring>& keyspace_names, schema_ptr s)
{
std::map<qualified_name, schema_mutations> result;
for (auto&& keyspace_name : keyspace_names) {
for (auto&& table_name : read_table_names_of_keyspace(proxy, keyspace_name, s).get0()) {
auto qn = qualified_name(keyspace_name, table_name);
result.emplace(qn, read_table_mutations(proxy, qn, s).get0());
}
}
return result;
}
future<> do_merge_schema(distributed<service::storage_proxy>& proxy, std::vector<mutation> mutations, bool do_flush)
{
return seastar::async([&proxy, mutations = std::move(mutations), do_flush] () mutable {
schema_ptr s = keyspaces();
// compare before/after schemas of the affected keyspaces only
std::set<sstring> keyspaces;
std::set<utils::UUID> column_families;
for (auto&& mutation : mutations) {
keyspaces.emplace(value_cast<sstring>(utf8_type->deserialize(mutation.key().get_component(*s, 0))));
column_families.emplace(mutation.column_family_id());
}
// current state of the schema
auto&& old_keyspaces = read_schema_for_keyspaces(proxy, KEYSPACES, keyspaces).get0();
auto&& old_column_families = read_tables_for_keyspaces(proxy, keyspaces, columnfamilies());
auto&& old_types = read_schema_for_keyspaces(proxy, USERTYPES, keyspaces).get0();
auto&& old_views = read_tables_for_keyspaces(proxy, keyspaces, views());
#if 0 // not in 2.1.8
/*auto& old_functions = */read_schema_for_keyspaces(proxy, FUNCTIONS, keyspaces).get0();
/*auto& old_aggregates = */read_schema_for_keyspaces(proxy, AGGREGATES, keyspaces).get0();
#endif
proxy.local().mutate_locally(std::move(mutations)).get0();
if (do_flush) {
proxy.local().get_db().invoke_on_all([s, cfs = std::move(column_families)] (database& db) {
return parallel_for_each(cfs.begin(), cfs.end(), [&db] (auto& id) {
auto& cf = db.find_column_family(id);
return cf.flush();
});
}).get();
}
// with new data applied
auto&& new_keyspaces = read_schema_for_keyspaces(proxy, KEYSPACES, keyspaces).get0();
auto&& new_column_families = read_tables_for_keyspaces(proxy, keyspaces, columnfamilies());
auto&& new_types = read_schema_for_keyspaces(proxy, USERTYPES, keyspaces).get0();
auto&& new_views = read_tables_for_keyspaces(proxy, keyspaces, views());
#if 0 // not in 2.1.8
/*auto& new_functions = */read_schema_for_keyspaces(proxy, FUNCTIONS, keyspaces).get0();
/*auto& new_aggregates = */read_schema_for_keyspaces(proxy, AGGREGATES, keyspaces).get0();
#endif
std::set<sstring> keyspaces_to_drop = merge_keyspaces(proxy, std::move(old_keyspaces), std::move(new_keyspaces)).get0();
merge_tables_and_views(proxy,
std::move(old_column_families), std::move(new_column_families),
std::move(old_views), std::move(new_views));
merge_types(proxy, std::move(old_types), std::move(new_types));
#if 0
mergeFunctions(oldFunctions, newFunctions);
mergeAggregates(oldAggregates, newAggregates);
#endif
proxy.local().get_db().invoke_on_all([keyspaces_to_drop = std::move(keyspaces_to_drop)] (database& db) {
// it is safe to drop a keyspace only when all nested ColumnFamilies where deleted
return do_for_each(keyspaces_to_drop, [&db] (auto keyspace_to_drop) {
db.drop_keyspace(keyspace_to_drop);
return service::get_local_migration_manager().notify_drop_keyspace(keyspace_to_drop);
});
}).get0();
});
}
future<std::set<sstring>> merge_keyspaces(distributed<service::storage_proxy>& proxy, schema_result&& before, schema_result&& after)
{
std::vector<schema_result_value_type> created;
std::vector<sstring> altered;
std::set<sstring> dropped;
/*
* - we don't care about entriesOnlyOnLeft() or entriesInCommon(), because only the changes are of interest to us
* - of all entriesOnlyOnRight(), we only care about ones that have live columns; it's possible to have a ColumnFamily
* there that only has the top-level deletion, if:
* a) a pushed DROP KEYSPACE change for a keyspace hadn't ever made it to this node in the first place
* b) a pulled dropped keyspace that got dropped before it could find a way to this node
* - of entriesDiffering(), we don't care about the scenario where both pre and post-values have zero live columns:
* that means that a keyspace had been recreated and dropped, and the recreated keyspace had never found a way
* to this node
*/
auto diff = difference(before, after, indirect_equal_to<lw_shared_ptr<query::result_set>>());
for (auto&& key : diff.entries_only_on_left) {
logger.info("Dropping keyspace {}", key);
dropped.emplace(key);
}
for (auto&& key : diff.entries_only_on_right) {
auto&& value = after[key];
logger.info("Creating keyspace {}", key);
created.emplace_back(schema_result_value_type{key, std::move(value)});
}
for (auto&& key : diff.entries_differing) {
logger.info("Altering keyspace {}", key);
altered.emplace_back(key);
}
return do_with(std::move(created), [&proxy, altered = std::move(altered)] (auto& created) mutable {
return do_with(std::move(altered), [&proxy, &created](auto& altered) {
return proxy.local().get_db().invoke_on_all([&created, &altered] (database& db) {
return do_for_each(created, [&db](auto&& val) {
auto ksm = create_keyspace_from_schema_partition(val);
return db.create_keyspace(ksm).then([ksm] {
return service::get_local_migration_manager().notify_create_keyspace(ksm);
});
}).then([&altered, &db]() {
return do_for_each(altered, [&db](auto& name) {
return db.update_keyspace(name);
});
});
});
});
}).then([dropped = std::move(dropped)] () {
return make_ready_future<std::set<sstring>>(dropped);
});
}
struct schema_diff {
struct dropped_schema {
global_schema_ptr schema;
utils::joinpoint<db_clock::time_point> jp{[] {
return make_ready_future<db_clock::time_point>(db_clock::now());
}};
};
std::vector<global_schema_ptr> created;
std::vector<global_schema_ptr> altered;
std::vector<dropped_schema> dropped;
size_t size() const {
return created.size() + altered.size() + dropped.size();
}
};
template<typename CreateSchema>
static schema_diff diff_table_or_view(distributed<service::storage_proxy>& proxy,
std::map<qualified_name, schema_mutations>&& before,
std::map<qualified_name, schema_mutations>&& after,
CreateSchema&& create_schema)
{
schema_diff d;
auto diff = difference(before, after);
for (auto&& key : diff.entries_only_on_left) {
auto&& s = proxy.local().get_db().local().find_schema(key.keyspace_name, key.table_name);
logger.info("Dropping {}.{} id={} version={}", s->ks_name(), s->cf_name(), s->id(), s->version());
d.dropped.emplace_back(schema_diff::dropped_schema{s});
}
for (auto&& key : diff.entries_only_on_right) {
auto s = create_schema(std::move(after.at(key)));
logger.info("Creating {}.{} id={} version={}", s->ks_name(), s->cf_name(), s->id(), s->version());
d.created.emplace_back(s);
}
for (auto&& key : diff.entries_differing) {
auto s = create_schema(std::move(after.at(key)));
logger.info("Altering {}.{} id={} version={}", s->ks_name(), s->cf_name(), s->id(), s->version());
d.altered.emplace_back(s);
}
return d;
}
// see the comments for merge_keyspaces()
// Atomically publishes schema changes. In particular, this function ensures
// that when a base schema and a subset of its views are modified together (i.e.,
// upon an alter table or alter type statement), then they are published together
// as well, without any deferring in-between.
static void merge_tables_and_views(distributed<service::storage_proxy>& proxy,
std::map<qualified_name, schema_mutations>&& tables_before,
std::map<qualified_name, schema_mutations>&& tables_after,
std::map<qualified_name, schema_mutations>&& views_before,
std::map<qualified_name, schema_mutations>&& views_after)
{
auto tables_diff = diff_table_or_view(proxy, std::move(tables_before), std::move(tables_after), [] (auto&& sm) {
return create_table_from_mutations(std::move(sm));
});
auto views_diff = diff_table_or_view(proxy, std::move(views_before), std::move(views_after), [] (auto&& sm) {
return create_view_from_mutations(std::move(sm));
});
proxy.local().get_db().invoke_on_all([&] (database& db) {
return seastar::async([&] {
parallel_for_each(boost::range::join(tables_diff.created, views_diff.created), [&] (global_schema_ptr& gs) {
return db.add_column_family_and_make_directory(gs);
}).get();
for (auto&& gs : boost::range::join(tables_diff.created, views_diff.created)) {
db.find_column_family(gs).mark_ready_for_writes();
}
std::vector<bool> columns_changed;
columns_changed.reserve(tables_diff.altered.size() + views_diff.altered.size());
for (auto&& gs : boost::range::join(tables_diff.altered, views_diff.altered)) {
columns_changed.push_back(db.update_column_family(gs));
}
parallel_for_each(boost::range::join(tables_diff.dropped, views_diff.dropped), [&] (schema_diff::dropped_schema& dt) {
auto& s = *dt.schema.get();
return db.drop_column_family(s.ks_name(), s.cf_name(), [&] { return dt.jp.value(); });
}).get();
auto& mm = service::get_local_migration_manager();
auto it = columns_changed.begin();
std::vector<future<>> notifications;
notifications.reserve(tables_diff.size() + views_diff.size());
auto notify = [&] (auto& r, auto&& f) { boost::range::transform(r, std::back_inserter(notifications), f); };
notify(tables_diff.created, [&] (auto&& gs) { return mm.notify_create_column_family(gs); });
notify(tables_diff.altered, [&] (auto&& gs) { return mm.notify_update_column_family(gs, *it++); });
notify(tables_diff.dropped, [&] (auto&& dt) { return mm.notify_drop_column_family(dt.schema); });
notify(views_diff.created, [&] (auto&& gs) { return mm.notify_create_view(view_ptr(gs)); });
notify(views_diff.altered, [&] (auto&& gs) { return mm.notify_update_view(view_ptr(gs), *it++); });
notify(views_diff.dropped, [&] (auto&& dt) { return mm.notify_drop_view(view_ptr(dt.schema)); });
when_all(notifications.rbegin(), notifications.rend()).get();
});
}).get();
}
static inline void collect_types(std::set<sstring>& keys, schema_result& result, std::vector<user_type>& to)
{
for (auto&& key : keys) {
auto&& value = result[key];
auto types = create_types_from_schema_partition(schema_result_value_type{key, std::move(value)});
std::move(types.begin(), types.end(), std::back_inserter(to));
}
}
static inline void ensure_type_is_unused(distributed<service::storage_proxy>& proxy, user_type type)
{
// We don't want to drop a type unless it's not used anymore (mainly because
// if someone drops a type and recreates one with the same name but different
// definition with the previous name still in use, things can get messy).
// We have two places to check: 1) other user type that can nest the one
// we drop and 2) existing tables referencing the type (maybe in a nested
// way).
auto&& keyspace = type->_keyspace;
auto&& name = type->_name;
auto&& db = proxy.local().get_db().local();
auto&& ks = db.find_keyspace(type->_keyspace);
for (auto&& ut : ks.metadata()->user_types()->get_all_types() | boost::adaptors::map_values) {
if (ut->_keyspace == keyspace && ut->_name == name) {
continue;
}
if (ut->references_user_type(keyspace, name)) {
throw exceptions::invalid_request_exception(sprint("Cannot drop user type %s.%s as it is still used by user type %s", keyspace, type->get_name_as_string(), ut->get_name_as_string()));
}
}
for (auto&& cfm : ks.metadata()->cf_meta_data() | boost::adaptors::map_values) {
for (auto&& col : cfm->all_columns() | boost::adaptors::map_values) {
if (col->type->references_user_type(keyspace, name)) {
throw exceptions::invalid_request_exception(sprint("Cannot drop user type %s.%s as it is still used by table %s.%s", keyspace, type->get_name_as_string(), cfm->ks_name(), cfm->cf_name()));
}
}
}
}
// see the comments for merge_keyspaces()
static void merge_types(distributed<service::storage_proxy>& proxy, schema_result&& before, schema_result&& after)
{
std::vector<user_type> created, altered, dropped;
auto diff = difference(before, after, indirect_equal_to<lw_shared_ptr<query::result_set>>());
collect_types(diff.entries_only_on_left, before, dropped); // Keyspaces with no more types
collect_types(diff.entries_only_on_right, after, created); // New keyspaces with types
for (auto&& key : diff.entries_differing) {
// The user types of this keyspace differ, so diff the current types with the updated ones
auto current_types = proxy.local().get_db().local().find_keyspace(key).metadata()->user_types()->get_all_types();
decltype(current_types) updated_types;
auto ts = create_types_from_schema_partition(schema_result_value_type{key, std::move(after[key])});
updated_types.reserve(ts.size());
for (auto&& type : ts) {
updated_types[type->_name] = std::move(type);
}
auto delta = difference(current_types, updated_types, indirect_equal_to<user_type>());
for (auto&& key : delta.entries_only_on_left) {
dropped.emplace_back(current_types[key]);
}
for (auto&& key : delta.entries_only_on_right) {
created.emplace_back(std::move(updated_types[key]));
}
for (auto&& key : delta.entries_differing) {
altered.emplace_back(std::move(updated_types[key]));
}
}
for (auto&& ut : dropped) {
ensure_type_is_unused(proxy, ut);
}
proxy.local().get_db().invoke_on_all([&created, &dropped, &altered] (database& db) {
return seastar::async([&] {
for (auto&& type : created) {
auto user_type = dynamic_pointer_cast<const user_type_impl>(parse_type(type->name()));
db.find_keyspace(user_type->_keyspace).add_user_type(user_type);
service::get_local_migration_manager().notify_create_user_type(user_type).get();
}
for (auto&& type : dropped) {
auto user_type = dynamic_pointer_cast<const user_type_impl>(parse_type(type->name()));
db.find_keyspace(user_type->_keyspace).remove_user_type(user_type);
service::get_local_migration_manager().notify_drop_user_type(user_type).get();
}
for (auto&& type : altered) {
auto user_type = dynamic_pointer_cast<const user_type_impl>(parse_type(type->name()));
db.find_keyspace(user_type->_keyspace).add_user_type(user_type);
service::get_local_migration_manager().notify_update_user_type(user_type).get();
}
});
}).get();
}
#if 0
// see the comments for mergeKeyspaces()
private static void mergeFunctions(Map<DecoratedKey, ColumnFamily> before, Map<DecoratedKey, ColumnFamily> after)
{
List<UDFunction> created = new ArrayList<>();
List<UDFunction> altered = new ArrayList<>();
List<UDFunction> dropped = new ArrayList<>();
MapDifference<DecoratedKey, ColumnFamily> diff = Maps.difference(before, after);
// New keyspace with functions
for (Map.Entry<DecoratedKey, ColumnFamily> entry : diff.entriesOnlyOnRight().entrySet())
if (entry.getValue().hasColumns())
created.addAll(createFunctionsFromFunctionsPartition(new Row(entry.getKey(), entry.getValue())).values());
for (Map.Entry<DecoratedKey, MapDifference.ValueDifference<ColumnFamily>> entry : diff.entriesDiffering().entrySet())
{
ColumnFamily pre = entry.getValue().leftValue();
ColumnFamily post = entry.getValue().rightValue();
if (pre.hasColumns() && post.hasColumns())
{
MapDifference<ByteBuffer, UDFunction> delta =
Maps.difference(createFunctionsFromFunctionsPartition(new Row(entry.getKey(), pre)),
createFunctionsFromFunctionsPartition(new Row(entry.getKey(), post)));
dropped.addAll(delta.entriesOnlyOnLeft().values());
created.addAll(delta.entriesOnlyOnRight().values());
Iterables.addAll(altered, Iterables.transform(delta.entriesDiffering().values(), new Function<MapDifference.ValueDifference<UDFunction>, UDFunction>()
{
public UDFunction apply(MapDifference.ValueDifference<UDFunction> pair)
{
return pair.rightValue();
}
}));
}
else if (pre.hasColumns())
{
dropped.addAll(createFunctionsFromFunctionsPartition(new Row(entry.getKey(), pre)).values());
}
else if (post.hasColumns())
{
created.addAll(createFunctionsFromFunctionsPartition(new Row(entry.getKey(), post)).values());
}
}
for (UDFunction udf : created)
Schema.instance.addFunction(udf);
for (UDFunction udf : altered)
Schema.instance.updateFunction(udf);
for (UDFunction udf : dropped)
Schema.instance.dropFunction(udf);
}
// see the comments for mergeKeyspaces()
private static void mergeAggregates(Map<DecoratedKey, ColumnFamily> before, Map<DecoratedKey, ColumnFamily> after)
{
List<UDAggregate> created = new ArrayList<>();
List<UDAggregate> altered = new ArrayList<>();
List<UDAggregate> dropped = new ArrayList<>();
MapDifference<DecoratedKey, ColumnFamily> diff = Maps.difference(before, after);
// New keyspace with functions
for (Map.Entry<DecoratedKey, ColumnFamily> entry : diff.entriesOnlyOnRight().entrySet())
if (entry.getValue().hasColumns())
created.addAll(createAggregatesFromAggregatesPartition(new Row(entry.getKey(), entry.getValue())).values());
for (Map.Entry<DecoratedKey, MapDifference.ValueDifference<ColumnFamily>> entry : diff.entriesDiffering().entrySet())
{
ColumnFamily pre = entry.getValue().leftValue();
ColumnFamily post = entry.getValue().rightValue();
if (pre.hasColumns() && post.hasColumns())
{
MapDifference<ByteBuffer, UDAggregate> delta =
Maps.difference(createAggregatesFromAggregatesPartition(new Row(entry.getKey(), pre)),
createAggregatesFromAggregatesPartition(new Row(entry.getKey(), post)));
dropped.addAll(delta.entriesOnlyOnLeft().values());
created.addAll(delta.entriesOnlyOnRight().values());
Iterables.addAll(altered, Iterables.transform(delta.entriesDiffering().values(), new Function<MapDifference.ValueDifference<UDAggregate>, UDAggregate>()
{
public UDAggregate apply(MapDifference.ValueDifference<UDAggregate> pair)
{
return pair.rightValue();
}
}));
}
else if (pre.hasColumns())
{
dropped.addAll(createAggregatesFromAggregatesPartition(new Row(entry.getKey(), pre)).values());
}
else if (post.hasColumns())
{
created.addAll(createAggregatesFromAggregatesPartition(new Row(entry.getKey(), post)).values());
}
}
for (UDAggregate udf : created)
Schema.instance.addAggregate(udf);
for (UDAggregate udf : altered)
Schema.instance.updateAggregate(udf);
for (UDAggregate udf : dropped)
Schema.instance.dropAggregate(udf);
}
#endif
/*
* Keyspace metadata serialization/deserialization.
*/
std::vector<mutation> make_create_keyspace_mutations(lw_shared_ptr<keyspace_metadata> keyspace, api::timestamp_type timestamp, bool with_tables_and_types_and_functions)
{
std::vector<mutation> mutations;
schema_ptr s = keyspaces();
auto pkey = partition_key::from_singular(*s, keyspace->name());
mutation m(pkey, s);
exploded_clustering_prefix ckey;
m.set_cell(ckey, "durable_writes", keyspace->durable_writes(), timestamp);
m.set_cell(ckey, "strategy_class", keyspace->strategy_name(), timestamp);
auto raw = json::to_json(keyspace->strategy_options());
m.set_cell(ckey, "strategy_options", raw, timestamp);
mutations.emplace_back(std::move(m));
if (with_tables_and_types_and_functions) {
for (auto&& kv : keyspace->user_types()->get_all_types()) {
add_type_to_schema_mutation(kv.second, timestamp, mutations);
}
for (auto&& s : keyspace->cf_meta_data() | boost::adaptors::map_values) {
add_table_or_view_to_schema_mutation(s, timestamp, true, mutations);
}
}
return mutations;
}
std::vector<mutation> make_drop_keyspace_mutations(lw_shared_ptr<keyspace_metadata> keyspace, api::timestamp_type timestamp)
{
std::vector<mutation> mutations;
for (auto&& schema_table : all_tables()) {
auto pkey = partition_key::from_exploded(*schema_table, {utf8_type->decompose(keyspace->name())});
mutation m{pkey, schema_table};
m.partition().apply(tombstone{timestamp, gc_clock::now()});
mutations.emplace_back(std::move(m));
}
auto&& schema = db::system_keyspace::built_indexes();
auto pkey = partition_key::from_exploded(*schema, {utf8_type->decompose(keyspace->name())});
mutation m{pkey, schema};
m.partition().apply(tombstone{timestamp, gc_clock::now()});
mutations.emplace_back(std::move(m));
return mutations;
}
/**
* Deserialize only Keyspace attributes without nested tables or types
*
* @param partition Keyspace attributes in serialized form
*/
lw_shared_ptr<keyspace_metadata> create_keyspace_from_schema_partition(const schema_result_value_type& result)
{
auto&& rs = result.second;
if (rs->empty()) {
throw std::runtime_error("query result has no rows");
}
auto&& row = rs->row(0);
auto keyspace_name = row.get_nonnull<sstring>("keyspace_name");
auto strategy_name = row.get_nonnull<sstring>("strategy_class");
auto raw = row.get_nonnull<sstring>("strategy_options");
std::map<sstring, sstring> strategy_options = json::to_map(raw);
bool durable_writes = row.get_nonnull<bool>("durable_writes");
return make_lw_shared<keyspace_metadata>(keyspace_name, strategy_name, strategy_options, durable_writes);
}
std::vector<user_type> create_types_from_schema_partition(const schema_result_value_type& result)
{
std::vector<user_type> user_types;
user_types.reserve(result.second->rows().size());
for (auto&& row : result.second->rows()) {
auto name = to_bytes(row.get_nonnull<sstring>("type_name"));
auto columns = row.get_nonnull<list_type_impl::native_type>("field_names");
std::vector<bytes> field_names;
for (auto&& value : columns) {
field_names.emplace_back(to_bytes(value_cast<sstring>(value)));
}
auto types = row.get_nonnull<list_type_impl::native_type>("field_types");
std::vector<data_type> field_types;
for (auto&& value : types) {
field_types.emplace_back(parse_type(value_cast<sstring>(value)));
}
user_types.emplace_back(user_type_impl::get_instance(result.first, name, field_names, field_types));
}
return user_types;
}
/*
* User type metadata serialization/deserialization
*/
template <typename T>
static atomic_cell_or_collection
make_list_mutation(const std::vector<T>& values,
const column_definition* column,
api::timestamp_type timestamp,
std::function<data_value(typename std::vector<T>::value_type)> to_data_value)
{
assert(column);
list_type_impl::mutation m;
m.cells.reserve(values.size());
m.tomb.timestamp = timestamp - 1;
m.tomb.deletion_time = gc_clock::now();
auto values_type = static_pointer_cast<const list_type_impl>(column->type);
for (auto&& value : values) {
auto dv = to_data_value(value);
auto uuid = utils::UUID_gen::get_time_UUID_bytes();
m.cells.emplace_back(
bytes(reinterpret_cast<const int8_t*>(uuid.data()), uuid.size()),
atomic_cell::make_live(timestamp, values_type->get_elements_type()->decompose(std::move(dv))));
}
return atomic_cell_or_collection::from_collection_mutation(values_type->serialize_mutation_form(std::move(m)));
}
void add_type_to_schema_mutation(user_type type, api::timestamp_type timestamp, std::vector<mutation>& mutations)
{
schema_ptr s = usertypes();
auto pkey = partition_key::from_singular(*s, type->_keyspace);
auto ckey = clustering_key::from_singular(*s, type->get_name_as_string());
mutation m{pkey, s};
auto field_names_column = s->get_column_definition("field_names");
auto field_names = make_list_mutation(type->field_names(), field_names_column, timestamp, [](auto&& name) {
return utf8_type->deserialize(name);
});
m.set_clustered_cell(ckey, *field_names_column, std::move(field_names));
auto field_types_column = s->get_column_definition("field_types");
auto field_types = make_list_mutation(type->field_types(), field_types_column, timestamp, [](auto&& type) {
return data_value(type->name());
});
m.set_clustered_cell(ckey, *field_types_column, std::move(field_types));
mutations.emplace_back(std::move(m));
}
future<std::vector<mutation>> make_create_type_mutations(lw_shared_ptr<keyspace_metadata> keyspace, user_type type, api::timestamp_type timestamp)
{
std::vector<mutation> mutations;
add_type_to_schema_mutation(type, timestamp, mutations);
// Include the serialized keyspace in case the target node missed a CREATE KEYSPACE migration (see CASSANDRA-5631).
return read_keyspace_mutation(service::get_storage_proxy(), keyspace->name()).then(push_back_and_return{std::move(mutations)});
}
future<std::vector<mutation>> make_drop_type_mutations(lw_shared_ptr<keyspace_metadata> keyspace, user_type type, api::timestamp_type timestamp)
{
std::vector<mutation> mutations;
schema_ptr s = usertypes();
auto pkey = partition_key::from_singular(*s, type->_keyspace);
auto ckey = clustering_key::from_singular(*s, type->get_name_as_string());
mutation m{pkey, s};
m.partition().apply_delete(*s, ckey, tombstone(timestamp, gc_clock::now()));
mutations.emplace_back(std::move(m));
// Include the serialized keyspace in case the target node missed a CREATE KEYSPACE migration (see CASSANDRA-5631).
return read_keyspace_mutation(service::get_storage_proxy(), keyspace->name()).then(push_back_and_return{std::move(mutations)});
}
/*
* Table metadata serialization/deserialization.
*/
future<std::vector<mutation>> make_create_table_mutations(lw_shared_ptr<keyspace_metadata> keyspace, schema_ptr table, api::timestamp_type timestamp)
{
std::vector<mutation> mutations;
add_table_or_view_to_schema_mutation(table, timestamp, true, mutations);
// Include the serialized keyspace in case the target node missed a CREATE KEYSPACE migration (see CASSANDRA-5631).
return read_keyspace_mutation(service::get_storage_proxy(), keyspace->name()).then(push_back_and_return{std::move(mutations)});
}
static schema_mutations make_table_mutations(schema_ptr table, api::timestamp_type timestamp, bool with_columns_and_triggers)
{
// When adding new schema properties, don't set cells for default values so that
// both old and new nodes will see the same version during rolling upgrades.
// For property that can be null (and can be changed), we insert tombstones, to make sure
// we don't keep a property the user has removed
schema_ptr s = columnfamilies();
auto pkey = partition_key::from_singular(*s, table->ks_name());
mutation m{pkey, s};
auto ckey = clustering_key::from_singular(*s, table->cf_name());
m.set_clustered_cell(ckey, "cf_id", table->id(), timestamp);
m.set_clustered_cell(ckey, "type", cf_type_to_sstring(table->type()), timestamp);
if (table->is_super()) {
warn(unimplemented::cause::SUPER);
#if 0
// We need to continue saving the comparator and subcomparator separatly, otherwise
// we won't know at deserialization if the subcomparator should be taken into account
// TODO: we should implement an on-start migration if we want to get rid of that.
adder.add("comparator", table.comparator.subtype(0).toString());
adder.add("subcomparator", table.comparator.subtype(1).toString());
#endif
} else {
m.set_clustered_cell(ckey, "comparator", cell_comparator::to_sstring(*table), timestamp);
}
m.set_clustered_cell(ckey, "bloom_filter_fp_chance", table->bloom_filter_fp_chance(), timestamp);
m.set_clustered_cell(ckey, "caching", table->caching_options().to_sstring(), timestamp);
m.set_clustered_cell(ckey, "comment", table->comment(), timestamp);
m.set_clustered_cell(ckey, "compaction_strategy_class", sstables::compaction_strategy::name(table->compaction_strategy()), timestamp);
m.set_clustered_cell(ckey, "compaction_strategy_options", json::to_json(table->compaction_strategy_options()), timestamp);
const auto& compression_options = table->get_compressor_params();
m.set_clustered_cell(ckey, "compression_parameters", json::to_json(compression_options.get_options()), timestamp);
m.set_clustered_cell(ckey, "default_time_to_live", table->default_time_to_live().count(), timestamp);
m.set_clustered_cell(ckey, "default_validator", table->default_validator()->name(), timestamp);
m.set_clustered_cell(ckey, "gc_grace_seconds", table->gc_grace_seconds().count(), timestamp);
m.set_clustered_cell(ckey, "key_validator", table->thrift_key_validator(), timestamp);
m.set_clustered_cell(ckey, "local_read_repair_chance", table->dc_local_read_repair_chance(), timestamp);
m.set_clustered_cell(ckey, "min_compaction_threshold", table->min_compaction_threshold(), timestamp);
m.set_clustered_cell(ckey, "max_compaction_threshold", table->max_compaction_threshold(), timestamp);
m.set_clustered_cell(ckey, "min_index_interval", table->min_index_interval(), timestamp);
m.set_clustered_cell(ckey, "max_index_interval", table->max_index_interval(), timestamp);
m.set_clustered_cell(ckey, "memtable_flush_period_in_ms", table->memtable_flush_period(), timestamp);
m.set_clustered_cell(ckey, "read_repair_chance", table->read_repair_chance(), timestamp);
m.set_clustered_cell(ckey, "speculative_retry", table->speculative_retry().to_sstring(), timestamp);
auto alias = [] (schema::const_iterator_range_type range) -> sstring {
sstring alias("[");
for (auto& c: range) {
alias += "\"" + c.name_as_text() + "\",";
}
if (alias.back() == ',') {
alias.back() = ']';
} else {
alias += "]";
}
return alias;
};
m.set_clustered_cell(ckey, "key_aliases", alias(table->partition_key_columns()), timestamp);
m.set_clustered_cell(ckey, "column_aliases", alias(table->clustering_key_columns()), timestamp);
if (table->is_dense()) {
m.set_clustered_cell(ckey, "value_alias", table->regular_begin()->name_as_text(), timestamp);
} // null if none
map_type_impl::mutation dropped_columns;
auto dropped_columns_column = s->get_column_definition("dropped_columns");
assert(dropped_columns_column);
auto dropped_columns_type = static_pointer_cast<const map_type_impl>(dropped_columns_column->type);
for (auto&& entry : table->dropped_columns()) {
dropped_columns.cells.emplace_back(dropped_columns_type->get_keys_type()->decompose(data_value(entry.first)),
atomic_cell::make_live(timestamp, dropped_columns_type->get_values_type()->decompose(entry.second)));
}
m.set_clustered_cell(ckey, *dropped_columns_column,
atomic_cell_or_collection::from_collection_mutation(dropped_columns_type->serialize_mutation_form(std::move(dropped_columns))));
m.set_clustered_cell(ckey, "is_dense", table->is_dense(), timestamp);
mutation columns_mutation(pkey, columns());
if (with_columns_and_triggers) {
for (auto&& column : table->all_columns_in_select_order()) {
add_column_to_schema_mutation(table, column, timestamp, columns_mutation);
}
#if 0
for (TriggerDefinition trigger : table.getTriggers().values())
addTriggerToSchemaMutation(table, trigger, timestamp, mutation);
#endif
}
return schema_mutations{std::move(m), std::move(columns_mutation)};
}
void add_table_or_view_to_schema_mutation(schema_ptr s, api::timestamp_type timestamp, bool with_columns, std::vector<mutation>& mutations)
{
make_schema_mutations(s, timestamp, with_columns).copy_to(mutations);
}
static void make_update_columns_mutations(schema_ptr old_table,
schema_ptr new_table,
api::timestamp_type timestamp,
bool from_thrift,
std::vector<mutation>& mutations) {
mutation columns_mutation(partition_key::from_singular(*columns(), old_table->ks_name()), columns());
auto diff = difference(old_table->all_columns(), new_table->all_columns());
// columns that are no longer needed
for (auto&& name : diff.entries_only_on_left) {
// Thrift only knows about the REGULAR ColumnDefinition type, so don't consider other type
// are being deleted just because they are not here.
const column_definition& column = *old_table->all_columns().at(name);
if (from_thrift && !column.is_regular()) {
continue;
}
drop_column_from_schema_mutation(old_table, column, timestamp, mutations);
}
// newly added columns and old columns with updated attributes
for (auto&& name : boost::range::join(diff.entries_differing, diff.entries_only_on_right)) {
const column_definition& column = *new_table->all_columns().at(name);
add_column_to_schema_mutation(new_table, column, timestamp, columns_mutation);
}
mutations.emplace_back(std::move(columns_mutation));
}
future<std::vector<mutation>> make_update_table_mutations(lw_shared_ptr<keyspace_metadata> keyspace,
schema_ptr old_table,
schema_ptr new_table,
api::timestamp_type timestamp,
bool from_thrift)
{
std::vector<mutation> mutations;
add_table_or_view_to_schema_mutation(new_table, timestamp, false, mutations);
make_update_columns_mutations(std::move(old_table), std::move(new_table), timestamp, from_thrift, mutations);
warn(unimplemented::cause::TRIGGERS);
#if 0
MapDifference<String, TriggerDefinition> triggerDiff = Maps.difference(oldTable.getTriggers(), newTable.getTriggers());
// dropped triggers
for (TriggerDefinition trigger : triggerDiff.entriesOnlyOnLeft().values())
dropTriggerFromSchemaMutation(oldTable, trigger, timestamp, mutation);
// newly created triggers
for (TriggerDefinition trigger : triggerDiff.entriesOnlyOnRight().values())
addTriggerToSchemaMutation(newTable, trigger, timestamp, mutation);
#endif
// Include the serialized keyspace in case the target node missed a CREATE KEYSPACE migration (see CASSANDRA-5631).
return read_keyspace_mutation(service::get_storage_proxy(), keyspace->name()).then(push_back_and_return{std::move(mutations)});
}
static void make_drop_table_or_view_mutations(schema_ptr schema_table,
schema_ptr table_or_view,
api::timestamp_type timestamp,
std::vector<mutation>& mutations) {
auto pkey = partition_key::from_singular(*schema_table, table_or_view->ks_name());
mutation m{std::move(pkey), schema_table};
auto ckey = clustering_key::from_singular(*schema_table, table_or_view->cf_name());
m.partition().apply_delete(*schema_table, std::move(ckey), tombstone(timestamp, gc_clock::now()));
mutations.emplace_back(m);
for (auto &column : table_or_view->all_columns_in_select_order()) {
drop_column_from_schema_mutation(table_or_view, column, timestamp, mutations);
}
}
future<std::vector<mutation>> make_drop_table_mutations(lw_shared_ptr<keyspace_metadata> keyspace, schema_ptr table, api::timestamp_type timestamp)
{
std::vector<mutation> mutations;
make_drop_table_or_view_mutations(columnfamilies(), std::move(table), timestamp, mutations);
#if 0
for (TriggerDefinition trigger : table.getTriggers().values())
dropTriggerFromSchemaMutation(table, trigger, timestamp, mutation);
// TODO: get rid of in #6717
ColumnFamily indexCells = mutation.addOrGet(SystemKeyspace.BuiltIndexes);
for (String indexName : Keyspace.open(keyspace.name).getColumnFamilyStore(table.cfName).getBuiltIndexes())
indexCells.addTombstone(indexCells.getComparator().makeCellName(indexName), ldt, timestamp);
#endif
// Include the serialized keyspace in case the target node missed a CREATE KEYSPACE migration (see CASSANDRA-5631).
return read_keyspace_mutation(service::get_storage_proxy(), keyspace->name()).then(push_back_and_return{std::move(mutations)});
}
static future<schema_mutations> read_table_mutations(distributed<service::storage_proxy>& proxy, const qualified_name& table, schema_ptr s)
{
return read_schema_partition_for_table(proxy, s, table.keyspace_name, table.table_name)
.then([&proxy, table] (mutation cf_m) {
return read_schema_partition_for_table(proxy, columns(), table.keyspace_name, table.table_name)
.then([cf_m = std::move(cf_m)] (mutation col_m) {
return schema_mutations{std::move(cf_m), std::move(col_m)};
});
#if 0
// FIXME:
Row serializedTriggers = readSchemaPartitionForTable(TRIGGERS, ksName, cfName);
try
{
for (TriggerDefinition trigger : createTriggersFromTriggersPartition(serializedTriggers))
cfm.addTriggerDefinition(trigger);
}
catch (InvalidRequestException e)
{
throw new RuntimeException(e);
}
#endif
});
}
future<schema_ptr> create_table_from_name(distributed<service::storage_proxy>& proxy, const sstring& keyspace, const sstring& table)
{
return do_with(qualified_name(keyspace, table), [&proxy] (auto&& qn) {
return read_table_mutations(proxy, qn, columnfamilies()).then([qn] (schema_mutations sm) {
if (!sm.live()) {
throw std::runtime_error(sprint("%s:%s not found in the schema definitions keyspace.", qn.keyspace_name, qn.table_name));
}
return create_table_from_mutations(std::move(sm));
});
});
}
/**
* Deserialize tables from low-level schema representation, all of them belong to the same keyspace
*
* @return map containing name of the table and its metadata for faster lookup
*/
future<std::map<sstring, schema_ptr>> create_tables_from_tables_partition(distributed<service::storage_proxy>& proxy, const schema_result::mapped_type& result)
{
auto tables = make_lw_shared<std::map<sstring, schema_ptr>>();
return parallel_for_each(result->rows().begin(), result->rows().end(), [&proxy, tables] (auto&& row) {
return create_table_from_table_row(proxy, row).then([tables] (schema_ptr&& cfm) {
tables->emplace(cfm->cf_name(), std::move(cfm));
});
}).then([tables] {
return std::move(*tables);
});
}
#if 0
public static CFMetaData createTableFromTablePartitionAndColumnsPartition(Row serializedTable, Row serializedColumns)
{
String query = String.format("SELECT * FROM %s.%s", SystemKeyspace.NAME, COLUMNFAMILIES);
return createTableFromTableRowAndColumnsPartition(QueryProcessor.resultify(query, serializedTable).one(), serializedColumns);
}
#endif
/**
* Deserialize table metadata from low-level representation
*
* @return Metadata deserialized from schema
*/
future<schema_ptr> create_table_from_table_row(distributed<service::storage_proxy>& proxy, const query::result_set_row& row)
{
auto ks_name = row.get_nonnull<sstring>("keyspace_name");
auto cf_name = row.get_nonnull<sstring>("columnfamily_name");
return create_table_from_name(proxy, ks_name, cf_name);
}
void prepare_builder_from_table_row(schema_builder& builder, const query::result_set_row& table_row)
{
auto comparator = table_row.get_nonnull<sstring>("comparator");
bool is_compound = cell_comparator::check_compound(comparator);
builder.set_is_compound(is_compound);
cell_comparator::read_collections(builder, comparator);
if (table_row.has("read_repair_chance")) {
builder.set_read_repair_chance(table_row.get_nonnull<double>("read_repair_chance"));
}
if (table_row.has("local_read_repair_chance")) {
builder.set_dc_local_read_repair_chance(table_row.get_nonnull<double>("local_read_repair_chance"));
}
if (table_row.has("gc_grace_seconds")) {
builder.set_gc_grace_seconds(table_row.get_nonnull<int32_t>("gc_grace_seconds"));
}
if (table_row.has("default_validator")) {
builder.set_default_validator(parse_type(table_row.get_nonnull<sstring>("default_validator")));
}
if (table_row.has("min_compaction_threshold")) {
builder.set_min_compaction_threshold(table_row.get_nonnull<int>("min_compaction_threshold"));
}
if (table_row.has("max_compaction_threshold")) {
builder.set_max_compaction_threshold(table_row.get_nonnull<int>("max_compaction_threshold"));
}
if (table_row.has("comment")) {
builder.set_comment(table_row.get_nonnull<sstring>("comment"));
}
if (table_row.has("memtable_flush_period_in_ms")) {
builder.set_memtable_flush_period(table_row.get_nonnull<int32_t>("memtable_flush_period_in_ms"));
}
if (table_row.has("caching")) {
builder.set_caching_options(caching_options::from_sstring(table_row.get_nonnull<sstring>("caching")));
}
if (table_row.has("default_time_to_live")) {
builder.set_default_time_to_live(gc_clock::duration(table_row.get_nonnull<gc_clock::rep>("default_time_to_live")));
}
if (table_row.has("speculative_retry")) {
builder.set_speculative_retry(table_row.get_nonnull<sstring>("speculative_retry"));
}
if (table_row.has("compaction_strategy_class")) {
auto strategy = table_row.get_nonnull<sstring>("compaction_strategy_class");
try {
builder.set_compaction_strategy(sstables::compaction_strategy::type(strategy));
} catch (const exceptions::configuration_exception& e) {
// If compaction strategy class isn't supported, fallback to size tiered.
logger.warn("Falling back to size-tiered compaction strategy after the problem: {}", e.what());
builder.set_compaction_strategy(sstables::compaction_strategy_type::size_tiered);
}
}
if (table_row.has("compaction_strategy_options")) {
builder.set_compaction_strategy_options(json::to_map(table_row.get_nonnull<sstring>("compaction_strategy_options")));
}
auto comp_param = table_row.get_nonnull<sstring>("compression_parameters");
compression_parameters cp(json::to_map(comp_param));
builder.set_compressor_params(cp);
if (table_row.has("min_index_interval")) {
builder.set_min_index_interval(table_row.get_nonnull<int>("min_index_interval"));
} else if (table_row.has("index_interval")) { // compatibility
builder.set_min_index_interval(table_row.get_nonnull<int>("index_interval"));
}
if (table_row.has("max_index_interval")) {
builder.set_max_index_interval(table_row.get_nonnull<int>("max_index_interval"));
}
if (table_row.has("bloom_filter_fp_chance")) {
builder.set_bloom_filter_fp_chance(table_row.get_nonnull<double>("bloom_filter_fp_chance"));
} else {
builder.set_bloom_filter_fp_chance(builder.get_bloom_filter_fp_chance());
}
if (table_row.has("dropped_columns")) {
auto map = table_row.get_nonnull<map_type_impl::native_type>("dropped_columns");
for (auto&& entry : map) {
builder.without_column(value_cast<sstring>(entry.first), value_cast<api::timestamp_type>(entry.second));
};
}
}
schema_ptr create_table_from_mutations(schema_mutations sm, std::experimental::optional<table_schema_version> version)
{
auto table_rs = query::result_set(sm.columnfamilies_mutation());
query::result_set_row table_row = table_rs.row(0);
auto ks_name = table_row.get_nonnull<sstring>("keyspace_name");
auto cf_name = table_row.get_nonnull<sstring>("columnfamily_name");
auto id = table_row.get_nonnull<utils::UUID>("cf_id");
schema_builder builder{ks_name, cf_name, id};
#if 0
AbstractType<?> rawComparator = TypeParser.parse(result.getString("comparator"));
AbstractType<?> subComparator = result.has("subcomparator") ? TypeParser.parse(result.getString("subcomparator")) : null;
#endif
cf_type cf = cf_type::standard;
if (table_row.has("type")) {
cf = sstring_to_cf_type(table_row.get_nonnull<sstring>("type"));
if (cf == cf_type::super) {
fail(unimplemented::cause::SUPER);
}
}
#if 0
AbstractType<?> fullRawComparator = CFMetaData.makeRawAbstractType(rawComparator, subComparator);
#endif
std::vector<column_definition> column_defs = create_columns_from_column_rows(
query::result_set(sm.columns_mutation()),
ks_name,
cf_name,/*,
fullRawComparator, */
cf == cf_type::super);
bool is_dense;
if (table_row.has("is_dense")) {
is_dense = table_row.get_nonnull<bool>("is_dense");
} else {
// FIXME:
// is_dense = CFMetaData.calculateIsDense(fullRawComparator, columnDefs);
throw std::runtime_error(sprint("%s not implemented", __PRETTY_FUNCTION__));
}
#if 0
CellNameType comparator = CellNames.fromAbstractType(fullRawComparator, isDense);
// if we are upgrading, we use id generated from names initially
UUID cfId = result.has("cf_id")
? result.getUUID("cf_id")
: CFMetaData.generateLegacyCfId(ksName, cfName);
CFMetaData cfm = new CFMetaData(ksName, cfName, cfType, comparator, cfId);
#endif
builder.set_is_dense(is_dense);
prepare_builder_from_table_row(builder, table_row);
for (auto&& cdef : column_defs) {
builder.with_column(cdef);
}
if (version) {
builder.with_version(*version);
} else {
builder.with_version(sm.digest());
}
return builder.build();
}
#if 0
private static Map<ColumnIdentifier, Long> convertDroppedColumns(Map<String, Long> raw)
{
Map<ColumnIdentifier, Long> converted = Maps.newHashMap();
for (Map.Entry<String, Long> entry : raw.entrySet())
converted.put(new ColumnIdentifier(entry.getKey(), true), entry.getValue());
return converted;
}
#endif
/*
* Column metadata serialization/deserialization.
*/
void add_column_to_schema_mutation(schema_ptr table,
const column_definition& column,
api::timestamp_type timestamp,
mutation& m)
{
auto ckey = clustering_key::from_exploded(*m.schema(), {utf8_type->decompose(table->cf_name()), column.name()});
m.set_clustered_cell(ckey, "validator", column.type->name(), timestamp);
m.set_clustered_cell(ckey, "type", serialize_kind(column.kind), timestamp);
if (!column.is_on_all_components()) {
m.set_clustered_cell(ckey, "component_index", int32_t(table->position(column)), timestamp);
}
#if 0
adder.add("index_name", column.getIndexName());
adder.add("index_type", column.getIndexType() == null ? null : column.getIndexType().toString());
adder.add("index_options", json(column.getIndexOptions()));
#endif
}
sstring serialize_kind(column_kind kind)
{
switch (kind) {
case column_kind::partition_key: return "partition_key";
case column_kind::clustering_key: return "clustering_key";
case column_kind::static_column: return "static";
case column_kind::regular_column: return "regular";
default: throw std::invalid_argument("unknown column kind");
}
}
column_kind deserialize_kind(sstring kind) {
if (kind == "partition_key") {
return column_kind::partition_key;
} else if (kind == "clustering_key") {
return column_kind::clustering_key;
} else if (kind == "static") {
return column_kind::static_column;
} else if (kind == "regular") {
return column_kind::regular_column;
} else if (kind == "compact_value") { // backward compatibility
return column_kind::regular_column;
} else {
throw std::invalid_argument("unknown column kind: " + kind);
}
}
void drop_column_from_schema_mutation(schema_ptr table, const column_definition& column, long timestamp, std::vector<mutation>& mutations)
{
schema_ptr s = columns();
auto pkey = partition_key::from_singular(*s, table->ks_name());
auto ckey = clustering_key::from_exploded(*s, {utf8_type->decompose(table->cf_name()), column.name()});
mutation m{pkey, s};
m.partition().apply_delete(*s, ckey, tombstone(timestamp, gc_clock::now()));
mutations.emplace_back(m);
}
std::vector<column_definition> create_columns_from_column_rows(const query::result_set& rows,
const sstring& keyspace,
const sstring& table, /*,
AbstractType<?> rawComparator, */
bool is_super)
{
std::vector<column_definition> columns;
for (auto&& row : rows.rows()) {
columns.emplace_back(std::move(create_column_from_column_row(row, keyspace, table, /*, rawComparator, */ is_super)));
}
return columns;
}
column_definition create_column_from_column_row(const query::result_set_row& row,
sstring keyspace,
sstring table, /*,
AbstractType<?> rawComparator, */
bool is_super)
{
auto kind = deserialize_kind(row.get_nonnull<sstring>("type"));
column_id component_index = 0;
if (row.has("component_index")) {
// FIXME: We need to pass component_index to schema_builder
// to ensure columns are instantiated in the correct order.
component_index = row.get_nonnull<int32_t>("component_index");
}
#if 0
else if (kind == ColumnDefinition.Kind.CLUSTERING_COLUMN && isSuper)
componentIndex = 1; // A ColumnDefinition for super columns applies to the column component
#endif
#if 0
// Note: we save the column name as string, but we should not assume that it is an UTF8 name, we
// we need to use the comparator fromString method
AbstractType<?> comparator = kind == ColumnDefinition.Kind.REGULAR
? getComponentComparator(rawComparator, componentIndex)
: UTF8Type.instance;
#endif
auto name_opt = row.get<sstring>("column_name");
sstring name = name_opt ? *name_opt : sstring();
auto validator = parse_type(row.get_nonnull<sstring>("validator"));
#if 0
IndexType indexType = null;
if (row.has("index_type"))
indexType = IndexType.valueOf(row.getString("index_type"));
Map<String, String> indexOptions = null;
if (row.has("index_options"))
indexOptions = fromJsonMap(row.getString("index_options"));
String indexName = null;
if (row.has("index_name"))
indexName = row.getString("index_name");
#endif
auto c = column_definition{utf8_type->decompose(name), validator, kind, component_index};
return c;
}
/*
* View metadata serialization/deserialization.
*/
view_ptr create_view_from_mutations(schema_mutations sm, std::experimental::optional<table_schema_version> version) {
auto table_rs = query::result_set(sm.columnfamilies_mutation());
query::result_set_row row = table_rs.row(0);
auto ks_name = row.get_nonnull<sstring>("keyspace_name");
auto cf_name = row.get_nonnull<sstring>("view_name");
auto id = row.get_nonnull<utils::UUID>("id");
schema_builder builder{ks_name, cf_name, id};
prepare_builder_from_table_row(builder, row);
auto column_defs = create_columns_from_column_rows(query::result_set(sm.columns_mutation()), ks_name, cf_name, false);
for (auto&& cdef : column_defs) {
builder.with_column(cdef);
}
if (version) {
builder.with_version(*version);
} else {
builder.with_version(sm.digest());
}
auto base_id = row.get_nonnull<utils::UUID>("base_table_id");
auto base_name = row.get_nonnull<sstring>("base_table_name");
auto include_all_columns = row.get_nonnull<bool>("include_all_columns");
auto where_clause = row.get_nonnull<sstring>("where_clause");
builder.with_view_info(std::move(base_id), std::move(base_name), include_all_columns, std::move(where_clause));
return view_ptr(builder.build());
}
static future<view_ptr> create_view_from_table_row(distributed<service::storage_proxy>& proxy, const query::result_set_row& row) {
qualified_name qn(row.get_nonnull<sstring>("keyspace_name"), row.get_nonnull<sstring>("view_name"));
return do_with(std::move(qn), [&proxy] (auto&& qn) {
return read_table_mutations(proxy, qn, views()).then([&proxy, &qn] (schema_mutations sm) {
if (!sm.live()) {
throw std::runtime_error(sprint("%s:%s not found in the view definitions keyspace.", qn.keyspace_name, qn.table_name));
}
return create_view_from_mutations(std::move(sm));
});
});
}
/**
* Deserialize views from low-level schema representation, all of them belong to the same keyspace
*
* @return vector containing the view definitions
*/
future<std::vector<view_ptr>> create_views_from_schema_partition(distributed<service::storage_proxy>& proxy, const schema_result::mapped_type& result)
{
auto views = make_lw_shared<std::vector<view_ptr>>();
return parallel_for_each(result->rows().begin(), result->rows().end(), [&proxy, views = std::move(views)] (auto&& row) {
return create_view_from_table_row(proxy, row).then([views] (auto&& v) {
views->push_back(std::move(v));
});
}).then([views] {
return std::move(*views);
});
}
static schema_mutations make_view_mutations(view_ptr view, api::timestamp_type timestamp, bool with_columns)
{
// When adding new schema properties, don't set cells for default values so that
// both old and new nodes will see the same version during rolling upgrades.
// For properties that can be null (and can be changed), we insert tombstones, to make sure
// we don't keep a property the user has removed
schema_ptr s = views();
auto pkey = partition_key::from_singular(*s, view->ks_name());
mutation m{pkey, s};
auto ckey = clustering_key::from_singular(*s, view->cf_name());
m.set_clustered_cell(ckey, "base_table_id", view->view_info()->base_id(), timestamp);
m.set_clustered_cell(ckey, "base_table_name", view->view_info()->base_name(), timestamp);
m.set_clustered_cell(ckey, "where_clause", view->view_info()->where_clause(), timestamp);
m.set_clustered_cell(ckey, "bloom_filter_fp_chance", view->bloom_filter_fp_chance(), timestamp);
m.set_clustered_cell(ckey, "caching", view->caching_options().to_sstring(), timestamp);
m.set_clustered_cell(ckey, "comment", view->comment(), timestamp);
m.set_clustered_cell(ckey, "compaction_strategy_class", sstables::compaction_strategy::name(view->compaction_strategy()), timestamp);
m.set_clustered_cell(ckey, "compaction_strategy_options", json::to_json(view->compaction_strategy_options()), timestamp);
m.set_clustered_cell(ckey, "comparator", cell_comparator::to_sstring(*view), timestamp);
const auto& compression_options = view->get_compressor_params();
m.set_clustered_cell(ckey, "compression_parameters", json::to_json(compression_options.get_options()), timestamp);
m.set_clustered_cell(ckey, "local_read_repair_chance", view->dc_local_read_repair_chance(), timestamp);
m.set_clustered_cell(ckey, "default_time_to_live", view->default_time_to_live().count(), timestamp);
m.set_clustered_cell(ckey, "gc_grace_seconds", view->gc_grace_seconds().count(), timestamp);
m.set_clustered_cell(ckey, "key_validator", view->thrift_key_validator(), timestamp);
m.set_clustered_cell(ckey, "id", view->id(), timestamp);
m.set_clustered_cell(ckey, "include_all_columns", view->view_info()->include_all_columns(), timestamp);
m.set_clustered_cell(ckey, "max_compaction_threshold", view->max_compaction_threshold(), timestamp);
m.set_clustered_cell(ckey, "max_index_interval", view->max_index_interval(), timestamp);
m.set_clustered_cell(ckey, "memtable_flush_period_in_ms", view->memtable_flush_period(), timestamp);
m.set_clustered_cell(ckey, "min_compaction_threshold", view->min_compaction_threshold(), timestamp);
m.set_clustered_cell(ckey, "min_index_interval", view->min_index_interval(), timestamp);
m.set_clustered_cell(ckey, "read_repair_chance", view->read_repair_chance(), timestamp);
m.set_clustered_cell(ckey, "speculative_retry", view->speculative_retry().to_sstring(), timestamp);
map_type_impl::mutation dropped_columns;
auto dropped_columns_column = s->get_column_definition("dropped_columns");
assert(dropped_columns_column);
auto dropped_columns_type = static_pointer_cast<const map_type_impl>(dropped_columns_column->type);
for (auto&& entry : view->dropped_columns()) {
dropped_columns.cells.emplace_back(dropped_columns_type->get_keys_type()->decompose(data_value(entry.first)),
atomic_cell::make_live(timestamp, dropped_columns_type->get_values_type()->decompose(entry.second)));
}
m.set_clustered_cell(ckey, *dropped_columns_column,
atomic_cell_or_collection::from_collection_mutation(dropped_columns_type->serialize_mutation_form(std::move(dropped_columns))));
mutation columns_mutation(pkey, columns());
if (with_columns) {
for (auto&& column : view->all_columns_in_select_order()) {
add_column_to_schema_mutation(view, column, timestamp, columns_mutation);
}
}
return schema_mutations{std::move(m), std::move(columns_mutation)};
}
schema_mutations make_schema_mutations(schema_ptr s, api::timestamp_type timestamp, bool with_columns)
{
return s->is_view() ? make_view_mutations(view_ptr(s), timestamp, with_columns) : make_table_mutations(s, timestamp, with_columns);
}
future<std::vector<mutation>> make_create_view_mutations(lw_shared_ptr<keyspace_metadata> keyspace, view_ptr view, api::timestamp_type timestamp)
{
std::vector<mutation> mutations;
// And also the serialized base table.
auto base = keyspace->cf_meta_data().at(view->view_info()->base_name());
add_table_or_view_to_schema_mutation(base, timestamp, true, mutations);
add_table_or_view_to_schema_mutation(view, timestamp, true, mutations);
// Include the serialized keyspace in case the target node missed a CREATE KEYSPACE migration (see CASSANDRA-5631).
return read_keyspace_mutation(service::get_storage_proxy(), keyspace->name()).then(push_back_and_return{std::move(mutations)});
}
future<std::vector<mutation>> make_update_view_mutations(lw_shared_ptr<keyspace_metadata> keyspace,
view_ptr old_view,
view_ptr new_view,
api::timestamp_type timestamp)
{
std::vector<mutation> mutations;
// And also the serialized base table.
auto base = keyspace->cf_meta_data().at(new_view->view_info()->base_name());
add_table_or_view_to_schema_mutation(base, timestamp, true, mutations);
add_table_or_view_to_schema_mutation(new_view, timestamp, false, mutations);
make_update_columns_mutations(old_view, new_view, timestamp, false, mutations);
// Include the serialized keyspace in case the target node missed a CREATE KEYSPACE migration (see CASSANDRA-5631).
return read_keyspace_mutation(service::get_storage_proxy(), keyspace->name()).then(push_back_and_return{std::move(mutations)});
}
future<std::vector<mutation>> make_drop_view_mutations(lw_shared_ptr<keyspace_metadata> keyspace, view_ptr view, api::timestamp_type timestamp) {
std::vector<mutation> mutations;
make_drop_table_or_view_mutations(views(), view, timestamp, mutations);
// Include the serialized keyspace in case the target node missed a CREATE KEYSPACE migration (see CASSANDRA-5631).
return read_keyspace_mutation(service::get_storage_proxy(), keyspace->name()).then(push_back_and_return{std::move(mutations)});
}
#if 0
private static AbstractType<?> getComponentComparator(AbstractType<?> rawComparator, Integer componentIndex)
{
return (componentIndex == null || (componentIndex == 0 && !(rawComparator instanceof CompositeType)))
? rawComparator
: ((CompositeType)rawComparator).types.get(componentIndex);
}
/*
* Trigger metadata serialization/deserialization.
*/
private static void addTriggerToSchemaMutation(CFMetaData table, TriggerDefinition trigger, long timestamp, Mutation mutation)
{
ColumnFamily cells = mutation.addOrGet(Triggers);
Composite prefix = Triggers.comparator.make(table.cfName, trigger.name);
CFRowAdder adder = new CFRowAdder(cells, prefix, timestamp);
adder.addMapEntry("trigger_options", "class", trigger.classOption);
}
private static void dropTriggerFromSchemaMutation(CFMetaData table, TriggerDefinition trigger, long timestamp, Mutation mutation)
{
ColumnFamily cells = mutation.addOrGet(Triggers);
int ldt = (int) (System.currentTimeMillis() / 1000);
Composite prefix = Triggers.comparator.make(table.cfName, trigger.name);
cells.addAtom(new RangeTombstone(prefix, prefix.end(), timestamp, ldt));
}
/**
* Deserialize triggers from storage-level representation.
*
* @param partition storage-level partition containing the trigger definitions
* @return the list of processed TriggerDefinitions
*/
private static List<TriggerDefinition> createTriggersFromTriggersPartition(Row partition)
{
List<TriggerDefinition> triggers = new ArrayList<>();
String query = String.format("SELECT * FROM %s.%s", SystemKeyspace.NAME, TRIGGERS);
for (UntypedResultSet.Row row : QueryProcessor.resultify(query, partition))
{
String name = row.getString("trigger_name");
String classOption = row.getMap("trigger_options", UTF8Type.instance, UTF8Type.instance).get("class");
triggers.add(new TriggerDefinition(name, classOption));
}
return triggers;
}
/*
* UDF metadata serialization/deserialization.
*/
public static Mutation makeCreateFunctionMutation(KSMetaData keyspace, UDFunction function, long timestamp)
{
// Include the serialized keyspace in case the target node missed a CREATE KEYSPACE migration (see CASSANDRA-5631).
Mutation mutation = makeCreateKeyspaceMutation(keyspace, timestamp, false);
addFunctionToSchemaMutation(function, timestamp, mutation);
return mutation;
}
private static void addFunctionToSchemaMutation(UDFunction function, long timestamp, Mutation mutation)
{
ColumnFamily cells = mutation.addOrGet(Functions);
Composite prefix = Functions.comparator.make(function.name().name, UDHelper.calculateSignature(function));
CFRowAdder adder = new CFRowAdder(cells, prefix, timestamp);
adder.resetCollection("argument_names");
adder.resetCollection("argument_types");
for (int i = 0; i < function.argNames().size(); i++)
{
adder.addListEntry("argument_names", function.argNames().get(i).bytes);
adder.addListEntry("argument_types", function.argTypes().get(i).toString());
}
adder.add("body", function.body());
adder.add("is_deterministic", function.isDeterministic());
adder.add("language", function.language());
adder.add("return_type", function.returnType().toString());
}
public static Mutation makeDropFunctionMutation(KSMetaData keyspace, UDFunction function, long timestamp)
{
// Include the serialized keyspace in case the target node missed a CREATE KEYSPACE migration (see CASSANDRA-5631).
Mutation mutation = makeCreateKeyspaceMutation(keyspace, timestamp, false);
ColumnFamily cells = mutation.addOrGet(Functions);
int ldt = (int) (System.currentTimeMillis() / 1000);
Composite prefix = Functions.comparator.make(function.name().name, UDHelper.calculateSignature(function));
cells.addAtom(new RangeTombstone(prefix, prefix.end(), timestamp, ldt));
return mutation;
}
private static Map<ByteBuffer, UDFunction> createFunctionsFromFunctionsPartition(Row partition)
{
Map<ByteBuffer, UDFunction> functions = new HashMap<>();
String query = String.format("SELECT * FROM %s.%s", SystemKeyspace.NAME, FUNCTIONS);
for (UntypedResultSet.Row row : QueryProcessor.resultify(query, partition))
{
UDFunction function = createFunctionFromFunctionRow(row);
functions.put(UDHelper.calculateSignature(function), function);
}
return functions;
}
private static UDFunction createFunctionFromFunctionRow(UntypedResultSet.Row row)
{
String ksName = row.getString("keyspace_name");
String functionName = row.getString("function_name");
FunctionName name = new FunctionName(ksName, functionName);
List<ColumnIdentifier> argNames = new ArrayList<>();
if (row.has("argument_names"))
for (String arg : row.getList("argument_names", UTF8Type.instance))
argNames.add(new ColumnIdentifier(arg, true));
List<AbstractType<?>> argTypes = new ArrayList<>();
if (row.has("argument_types"))
for (String type : row.getList("argument_types", UTF8Type.instance))
argTypes.add(parseType(type));
AbstractType<?> returnType = parseType(row.getString("return_type"));
boolean isDeterministic = row.getBoolean("is_deterministic");
String language = row.getString("language");
String body = row.getString("body");
try
{
return UDFunction.create(name, argNames, argTypes, returnType, language, body, isDeterministic);
}
catch (InvalidRequestException e)
{
logger.error(String.format("Cannot load function '%s' from schema: this function won't be available (on this node)", name), e);
return UDFunction.createBrokenFunction(name, argNames, argTypes, returnType, language, body, e);
}
}
/*
* Aggregate UDF metadata serialization/deserialization.
*/
public static Mutation makeCreateAggregateMutation(KSMetaData keyspace, UDAggregate aggregate, long timestamp)
{
// Include the serialized keyspace in case the target node missed a CREATE KEYSPACE migration (see CASSANDRA-5631).
Mutation mutation = makeCreateKeyspaceMutation(keyspace, timestamp, false);
addAggregateToSchemaMutation(aggregate, timestamp, mutation);
return mutation;
}
private static void addAggregateToSchemaMutation(UDAggregate aggregate, long timestamp, Mutation mutation)
{
ColumnFamily cells = mutation.addOrGet(Aggregates);
Composite prefix = Aggregates.comparator.make(aggregate.name().name, UDHelper.calculateSignature(aggregate));
CFRowAdder adder = new CFRowAdder(cells, prefix, timestamp);
adder.resetCollection("argument_types");
adder.add("return_type", aggregate.returnType().toString());
adder.add("state_func", aggregate.stateFunction().name().name);
if (aggregate.stateType() != null)
adder.add("state_type", aggregate.stateType().toString());
if (aggregate.finalFunction() != null)
adder.add("final_func", aggregate.finalFunction().name().name);
if (aggregate.initialCondition() != null)
adder.add("initcond", aggregate.initialCondition());
for (AbstractType<?> argType : aggregate.argTypes())
adder.addListEntry("argument_types", argType.toString());
}
private static Map<ByteBuffer, UDAggregate> createAggregatesFromAggregatesPartition(Row partition)
{
Map<ByteBuffer, UDAggregate> aggregates = new HashMap<>();
String query = String.format("SELECT * FROM %s.%s", SystemKeyspace.NAME, AGGREGATES);
for (UntypedResultSet.Row row : QueryProcessor.resultify(query, partition))
{
UDAggregate aggregate = createAggregateFromAggregateRow(row);
aggregates.put(UDHelper.calculateSignature(aggregate), aggregate);
}
return aggregates;
}
private static UDAggregate createAggregateFromAggregateRow(UntypedResultSet.Row row)
{
String ksName = row.getString("keyspace_name");
String functionName = row.getString("aggregate_name");
FunctionName name = new FunctionName(ksName, functionName);
List<String> types = row.getList("argument_types", UTF8Type.instance);
List<AbstractType<?>> argTypes;
if (types == null)
{
argTypes = Collections.emptyList();
}
else
{
argTypes = new ArrayList<>(types.size());
for (String type : types)
argTypes.add(parseType(type));
}
AbstractType<?> returnType = parseType(row.getString("return_type"));
FunctionName stateFunc = new FunctionName(ksName, row.getString("state_func"));
FunctionName finalFunc = row.has("final_func") ? new FunctionName(ksName, row.getString("final_func")) : null;
AbstractType<?> stateType = row.has("state_type") ? parseType(row.getString("state_type")) : null;
ByteBuffer initcond = row.has("initcond") ? row.getBytes("initcond") : null;
try
{
return UDAggregate.create(name, argTypes, returnType, stateFunc, finalFunc, stateType, initcond);
}
catch (InvalidRequestException reason)
{
return UDAggregate.createBroken(name, argTypes, returnType, initcond, reason);
}
}
public static Mutation makeDropAggregateMutation(KSMetaData keyspace, UDAggregate aggregate, long timestamp)
{
// Include the serialized keyspace in case the target node missed a CREATE KEYSPACE migration (see CASSANDRA-5631).
Mutation mutation = makeCreateKeyspaceMutation(keyspace, timestamp, false);
ColumnFamily cells = mutation.addOrGet(Aggregates);
int ldt = (int) (System.currentTimeMillis() / 1000);
Composite prefix = Aggregates.comparator.make(aggregate.name().name, UDHelper.calculateSignature(aggregate));
cells.addAtom(new RangeTombstone(prefix, prefix.end(), timestamp, ldt));
return mutation;
}
#endif
data_type parse_type(sstring str)
{
return db::marshal::type_parser::parse(str);
}
std::vector<schema_ptr> all_tables() {
return {
keyspaces(), columnfamilies(), columns(), triggers(), usertypes(), functions(), aggregates(),
views(),
};
}
} // namespace schema_tables
} // namespace schema