dccb8a5729
Adds the new `per_partition_rate_limit` schema extension. It has two parameters: `max_writes_per_second` and `max_reads_per_second`. In the future commits they will control how many operations of given type are allowed for each partition in the given table.
1749 lines
63 KiB
C++
1749 lines
63 KiB
C++
/*
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* Copyright (C) 2014-present ScyllaDB
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*/
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/*
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* SPDX-License-Identifier: AGPL-3.0-or-later
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*/
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#include <seastar/core/on_internal_error.hh>
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#include <map>
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#include "utils/UUID_gen.hh"
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#include "cql3/column_identifier.hh"
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#include "cql3/util.hh"
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#include "schema.hh"
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#include "schema_builder.hh"
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#include <boost/algorithm/cxx11/any_of.hpp>
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#include <boost/range/adaptor/transformed.hpp>
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#include "db/marshal/type_parser.hh"
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#include "version.hh"
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#include "schema_registry.hh"
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#include <boost/range/adaptor/map.hpp>
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#include <boost/range/algorithm.hpp>
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#include <boost/algorithm/cxx11/any_of.hpp>
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#include "view_info.hh"
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#include "partition_slice_builder.hh"
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#include "replica/database.hh"
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#include "dht/i_partitioner.hh"
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#include "dht/token-sharding.hh"
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#include "cdc/cdc_extension.hh"
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#include "tombstone_gc_extension.hh"
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#include "db/paxos_grace_seconds_extension.hh"
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#include "utils/rjson.hh"
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#include "tombstone_gc_options.hh"
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#include "db/per_partition_rate_limit_extension.hh"
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constexpr int32_t schema::NAME_LENGTH;
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extern logging::logger dblog;
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sstring to_sstring(column_kind k) {
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switch (k) {
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case column_kind::partition_key: return "PARTITION_KEY";
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case column_kind::clustering_key: return "CLUSTERING_COLUMN";
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case column_kind::static_column: return "STATIC";
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case column_kind::regular_column: return "REGULAR";
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}
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throw std::invalid_argument("unknown column kind");
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}
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bool is_compatible(column_kind k1, column_kind k2) {
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return k1 == k2;
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}
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column_mapping_entry::column_mapping_entry(bytes name, sstring type_name)
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: column_mapping_entry(std::move(name), db::marshal::type_parser::parse(type_name))
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{
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}
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column_mapping_entry::column_mapping_entry(const column_mapping_entry& o)
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: column_mapping_entry(o._name, o._type->name())
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{
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}
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column_mapping_entry& column_mapping_entry::operator=(const column_mapping_entry& o) {
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auto copy = o;
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return operator=(std::move(copy));
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}
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bool operator==(const column_mapping_entry& lhs, const column_mapping_entry& rhs) {
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return lhs.name() == rhs.name() && lhs.type() == rhs.type();
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}
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bool operator!=(const column_mapping_entry& lhs, const column_mapping_entry& rhs) {
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return !(lhs == rhs);
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}
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bool operator==(const column_mapping& lhs, const column_mapping& rhs) {
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const auto& lhs_columns = lhs.columns(), rhs_columns = rhs.columns();
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if (lhs_columns.size() != rhs_columns.size()) {
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return false;
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}
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for (size_t i = 0, end = lhs_columns.size(); i < end; ++i) {
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const column_mapping_entry& lhs_entry = lhs_columns[i], rhs_entry = rhs_columns[i];
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if (lhs_entry != rhs_entry) {
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return false;
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}
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}
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return true;
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}
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template<typename Sequence>
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std::vector<data_type>
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get_column_types(const Sequence& column_definitions) {
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std::vector<data_type> result;
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for (auto&& col : column_definitions) {
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result.push_back(col.type);
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}
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return result;
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}
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std::ostream& operator<<(std::ostream& out, const column_mapping& cm) {
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column_id n_static = cm.n_static();
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column_id n_regular = cm.columns().size() - n_static;
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auto pr_entry = [] (column_id i, const column_mapping_entry& e) {
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// Without schema we don't know if name is UTF8. If we had schema we could use
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// s->regular_column_name_type()->to_string(e.name()).
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return format("{{id={}, name=0x{}, type={}}}", i, e.name(), e.type()->name());
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};
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return out << "{static=[" << ::join(", ", boost::irange<column_id>(0, n_static) |
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boost::adaptors::transformed([&] (column_id i) { return pr_entry(i, cm.static_column_at(i)); }))
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<< "], regular=[" << ::join(", ", boost::irange<column_id>(0, n_regular) |
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boost::adaptors::transformed([&] (column_id i) { return pr_entry(i, cm.regular_column_at(i)); }))
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<< "]}";
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}
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std::ostream& operator<<(std::ostream& os, ordinal_column_id id)
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{
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return os << static_cast<column_count_type>(id);
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}
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thread_local std::map<sstring, std::unique_ptr<dht::i_partitioner>> partitioners;
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thread_local std::map<std::pair<unsigned, unsigned>, std::unique_ptr<dht::sharder>> sharders;
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sstring default_partitioner_name = "org.apache.cassandra.dht.Murmur3Partitioner";
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unsigned default_partitioner_ignore_msb = 12;
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static const dht::i_partitioner& get_partitioner(const sstring& name) {
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auto it = partitioners.find(name);
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if (it == partitioners.end()) {
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auto p = dht::make_partitioner(name);
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it = partitioners.insert({name, std::move(p)}).first;
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}
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return *it->second;
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}
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void schema::set_default_partitioner(const sstring& class_name, unsigned ignore_msb) {
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default_partitioner_name = class_name;
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default_partitioner_ignore_msb = ignore_msb;
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}
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static const dht::sharder& get_sharder(unsigned shard_count, unsigned ignore_msb) {
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auto it = sharders.find({shard_count, ignore_msb});
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if (it == sharders.end()) {
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auto sharder = std::make_unique<dht::sharder>(shard_count, ignore_msb);
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it = sharders.emplace(std::make_pair(shard_count, ignore_msb), std::move(sharder)).first;
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}
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return *it->second;
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}
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const dht::i_partitioner& schema::get_partitioner() const {
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return _raw._partitioner.get();
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}
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const dht::sharder& schema::get_sharder() const {
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return _raw._sharder.get();
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}
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bool schema::has_custom_partitioner() const {
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return _raw._partitioner.get().name() != default_partitioner_name;
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}
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lw_shared_ptr<cql3::column_specification>
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schema::make_column_specification(const column_definition& def) {
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auto id = ::make_shared<cql3::column_identifier>(def.name(), column_name_type(def));
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return make_lw_shared<cql3::column_specification>(_raw._ks_name, _raw._cf_name, std::move(id), def.type);
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}
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v3_columns::v3_columns(std::vector<column_definition> cols, bool is_dense, bool is_compound)
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: _is_dense(is_dense)
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, _is_compound(is_compound)
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, _columns(std::move(cols))
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{
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for (column_definition& def : _columns) {
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_columns_by_name[def.name()] = &def;
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}
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}
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v3_columns v3_columns::from_v2_schema(const schema& s) {
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data_type static_column_name_type = utf8_type;
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std::vector<column_definition> cols;
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if (s.is_static_compact_table()) {
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if (s.has_static_columns()) {
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throw std::runtime_error(
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format("v2 static compact table should not have static columns: {}.{}", s.ks_name(), s.cf_name()));
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}
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if (s.clustering_key_size()) {
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throw std::runtime_error(
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format("v2 static compact table should not have clustering columns: {}.{}", s.ks_name(), s.cf_name()));
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}
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static_column_name_type = s.regular_column_name_type();
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for (auto& c : s.all_columns()) {
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// Note that for "static" no-clustering compact storage we use static for the defined columns
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if (c.kind == column_kind::regular_column) {
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auto new_def = c;
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new_def.kind = column_kind::static_column;
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cols.push_back(new_def);
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} else {
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cols.push_back(c);
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}
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}
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schema_builder::default_names names(s._raw);
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cols.emplace_back(to_bytes(names.clustering_name()), static_column_name_type, column_kind::clustering_key, 0);
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cols.emplace_back(to_bytes(names.compact_value_name()), s.make_legacy_default_validator(), column_kind::regular_column, 0);
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} else {
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cols = s.all_columns();
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}
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for (column_definition& def : cols) {
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data_type name_type = def.is_static() ? static_column_name_type : utf8_type;
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auto id = ::make_shared<cql3::column_identifier>(def.name(), name_type);
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def.column_specification = make_lw_shared<cql3::column_specification>(s.ks_name(), s.cf_name(), std::move(id), def.type);
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}
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return v3_columns(std::move(cols), s.is_dense(), s.is_compound());
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}
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void v3_columns::apply_to(schema_builder& builder) const {
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if (is_static_compact()) {
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for (auto& c : _columns) {
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if (c.kind == column_kind::regular_column) {
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builder.set_default_validation_class(c.type);
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} else if (c.kind == column_kind::static_column) {
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auto new_def = c;
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new_def.kind = column_kind::regular_column;
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builder.with_column_ordered(new_def);
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} else if (c.kind == column_kind::clustering_key) {
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builder.set_regular_column_name_type(c.type);
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} else {
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builder.with_column_ordered(c);
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}
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}
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} else {
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for (auto& c : _columns) {
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if (is_compact() && c.kind == column_kind::regular_column) {
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builder.set_default_validation_class(c.type);
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}
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builder.with_column_ordered(c);
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}
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}
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}
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bool v3_columns::is_static_compact() const {
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return !_is_dense && !_is_compound;
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}
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bool v3_columns::is_compact() const {
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return _is_dense || !_is_compound;
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}
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const std::unordered_map<bytes, const column_definition*>& v3_columns::columns_by_name() const {
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return _columns_by_name;
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}
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const std::vector<column_definition>& v3_columns::all_columns() const {
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return _columns;
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}
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void schema::rebuild() {
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_partition_key_type = make_lw_shared<compound_type<>>(get_column_types(partition_key_columns()));
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_clustering_key_type = make_lw_shared<compound_prefix>(get_column_types(clustering_key_columns()));
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_clustering_key_size = column_offset(column_kind::static_column) - column_offset(column_kind::clustering_key);
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_regular_column_count = _raw._columns.size() - column_offset(column_kind::regular_column);
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_static_column_count = column_offset(column_kind::regular_column) - column_offset(column_kind::static_column);
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_columns_by_name.clear();
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for (const column_definition& def : all_columns()) {
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_columns_by_name[def.name()] = &def;
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}
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static_assert(row_column_ids_are_ordered_by_name::value, "row columns don't need to be ordered by name");
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if (!std::is_sorted(regular_columns().begin(), regular_columns().end(), column_definition::name_comparator(regular_column_name_type()))) {
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throw std::runtime_error("Regular columns should be sorted by name");
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}
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if (!std::is_sorted(static_columns().begin(), static_columns().end(), column_definition::name_comparator(static_column_name_type()))) {
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throw std::runtime_error("Static columns should be sorted by name");
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}
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{
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std::vector<column_mapping_entry> cm_columns;
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for (const column_definition& def : boost::range::join(static_columns(), regular_columns())) {
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cm_columns.emplace_back(column_mapping_entry{def.name(), def.type});
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}
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_column_mapping = column_mapping(std::move(cm_columns), static_columns_count());
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}
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thrift()._compound = is_compound();
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thrift()._is_dynamic = clustering_key_size() > 0;
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if (is_counter()) {
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for (auto&& cdef : boost::range::join(static_columns(), regular_columns())) {
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if (!cdef.type->is_counter()) {
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throw exceptions::configuration_exception(format("Cannot add a non counter column ({}) in a counter column family", cdef.name_as_text()));
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}
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}
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} else {
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for (auto&& cdef : all_columns()) {
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if (cdef.type->is_counter()) {
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throw exceptions::configuration_exception(format("Cannot add a counter column ({}) in a non counter column family", cdef.name_as_text()));
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}
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}
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}
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_v3_columns = v3_columns::from_v2_schema(*this);
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_full_slice = make_shared<query::partition_slice>(partition_slice_builder(*this).build());
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}
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const column_mapping& schema::get_column_mapping() const {
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return _column_mapping;
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}
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schema::raw_schema::raw_schema(utils::UUID id)
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: _id(id)
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, _partitioner(::get_partitioner(default_partitioner_name))
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, _sharder(::get_sharder(smp::count, default_partitioner_ignore_msb))
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{ }
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schema::schema(private_tag, const raw_schema& raw, std::optional<raw_view_info> raw_view_info)
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: _raw(raw)
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, _offsets([this] {
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if (_raw._columns.size() > std::numeric_limits<column_count_type>::max()) {
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throw std::runtime_error(format("Column count limit ({:d}) overflowed: {:d}",
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std::numeric_limits<column_count_type>::max(), _raw._columns.size()));
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}
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auto& cols = _raw._columns;
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std::array<column_count_type, 4> count = { 0, 0, 0, 0 };
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auto i = cols.begin();
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auto e = cols.end();
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for (auto k : { column_kind::partition_key, column_kind::clustering_key, column_kind::static_column, column_kind::regular_column }) {
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auto j = std::stable_partition(i, e, [k](const auto& c) {
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return c.kind == k;
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});
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count[column_count_type(k)] = std::distance(i, j);
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i = j;
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}
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return std::array<column_count_type, 3> {
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count[0],
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count[0] + count[1],
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count[0] + count[1] + count[2],
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};
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}())
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{
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std::sort(
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_raw._columns.begin() + column_offset(column_kind::static_column),
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_raw._columns.begin()
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+ column_offset(column_kind::regular_column),
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column_definition::name_comparator(static_column_name_type()));
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std::sort(
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_raw._columns.begin()
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+ column_offset(column_kind::regular_column),
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_raw._columns.end(), column_definition::name_comparator(regular_column_name_type()));
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std::stable_sort(_raw._columns.begin(),
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_raw._columns.begin() + column_offset(column_kind::clustering_key),
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[] (auto x, auto y) { return x.id < y.id; });
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std::stable_sort(_raw._columns.begin() + column_offset(column_kind::clustering_key),
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_raw._columns.begin() + column_offset(column_kind::static_column),
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[] (auto x, auto y) { return x.id < y.id; });
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column_id id = 0;
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for (auto& def : _raw._columns) {
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def.column_specification = make_column_specification(def);
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assert(!def.id || def.id == id - column_offset(def.kind));
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def.ordinal_id = static_cast<ordinal_column_id>(id);
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def.id = id - column_offset(def.kind);
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auto dropped_at_it = _raw._dropped_columns.find(def.name_as_text());
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if (dropped_at_it != _raw._dropped_columns.end()) {
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def._dropped_at = std::max(def._dropped_at, dropped_at_it->second.timestamp);
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}
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def._thrift_bits = column_definition::thrift_bits();
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{
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// is_on_all_components
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// TODO : In origin, this predicate is "componentIndex == null", which is true in
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// a number of cases, some of which I've most likely missed...
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switch (def.kind) {
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case column_kind::partition_key:
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// In origin, ci == null is true for a PK column where CFMetaData "keyValidator" is non-composite.
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// Which is true of #pk == 1
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def._thrift_bits.is_on_all_components = partition_key_size() == 1;
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break;
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case column_kind::regular_column:
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if (_raw._is_dense) {
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// regular values in dense tables are alone, so they have no index
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def._thrift_bits.is_on_all_components = true;
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break;
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}
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default:
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// Or any other column where "comparator" is not compound
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def._thrift_bits.is_on_all_components = !thrift().has_compound_comparator();
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break;
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}
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}
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++id;
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}
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rebuild();
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if (raw_view_info) {
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_view_info = std::make_unique<::view_info>(*this, *raw_view_info);
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}
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}
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schema::schema(const schema& o, const std::function<void(schema&)>& transform)
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: _raw(o._raw)
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, _offsets(o._offsets)
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{
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// Do the transformation after all the raw fields are initialized, but
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// *before* the derived fields are generated (from the raw ones).
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if (transform) {
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transform(*this);
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}
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rebuild();
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if (o.is_view()) {
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_view_info = std::make_unique<::view_info>(*this, o.view_info()->raw());
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if (o.view_info()->base_info()) {
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_view_info->set_base_info(o.view_info()->base_info());
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}
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}
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}
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schema::schema(const schema& o)
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: schema(o, {})
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{
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}
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schema::schema(reversed_tag, const schema& o)
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: schema(o, [] (schema& s) {
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s._raw._version = utils::UUID_gen::negate(s._raw._version);
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for (auto& col : s._raw._columns) {
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if (col.kind == column_kind::clustering_key) {
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col.type = reversed(col.type);
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}
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}
|
|
})
|
|
{
|
|
}
|
|
|
|
lw_shared_ptr<const schema> make_shared_schema(std::optional<utils::UUID> id, std::string_view ks_name,
|
|
std::string_view cf_name, std::vector<schema::column> partition_key, std::vector<schema::column> clustering_key,
|
|
std::vector<schema::column> regular_columns, std::vector<schema::column> static_columns,
|
|
data_type regular_column_name_type, sstring comment) {
|
|
schema_builder builder(std::move(ks_name), std::move(cf_name), std::move(id), std::move(regular_column_name_type));
|
|
for (auto&& column : partition_key) {
|
|
builder.with_column(std::move(column.name), std::move(column.type), column_kind::partition_key);
|
|
}
|
|
for (auto&& column : clustering_key) {
|
|
builder.with_column(std::move(column.name), std::move(column.type), column_kind::clustering_key);
|
|
}
|
|
for (auto&& column : regular_columns) {
|
|
builder.with_column(std::move(column.name), std::move(column.type));
|
|
}
|
|
for (auto&& column : static_columns) {
|
|
builder.with_column(std::move(column.name), std::move(column.type), column_kind::static_column);
|
|
}
|
|
builder.set_comment(comment);
|
|
return builder.build();
|
|
}
|
|
|
|
schema::~schema() {
|
|
if (_registry_entry) {
|
|
_registry_entry->detach_schema();
|
|
}
|
|
}
|
|
|
|
schema_registry_entry*
|
|
schema::registry_entry() const noexcept {
|
|
return _registry_entry;
|
|
}
|
|
|
|
sstring schema::thrift_key_validator() const {
|
|
if (partition_key_size() == 1) {
|
|
return partition_key_columns().begin()->type->name();
|
|
} else {
|
|
sstring type_params = ::join(", ", partition_key_columns()
|
|
| boost::adaptors::transformed(std::mem_fn(&column_definition::type))
|
|
| boost::adaptors::transformed(std::mem_fn(&abstract_type::name)));
|
|
return "org.apache.cassandra.db.marshal.CompositeType(" + type_params + ")";
|
|
}
|
|
}
|
|
|
|
bool
|
|
schema::has_multi_cell_collections() const {
|
|
return boost::algorithm::any_of(all_columns(), [] (const column_definition& cdef) {
|
|
return cdef.type->is_collection() && cdef.type->is_multi_cell();
|
|
});
|
|
}
|
|
|
|
bool operator==(const schema& x, const schema& y)
|
|
{
|
|
return x._raw._id == y._raw._id
|
|
&& x._raw._ks_name == y._raw._ks_name
|
|
&& x._raw._cf_name == y._raw._cf_name
|
|
&& x._raw._columns == y._raw._columns
|
|
&& x._raw._comment == y._raw._comment
|
|
&& x._raw._default_time_to_live == y._raw._default_time_to_live
|
|
&& x._raw._regular_column_name_type == y._raw._regular_column_name_type
|
|
&& x._raw._bloom_filter_fp_chance == y._raw._bloom_filter_fp_chance
|
|
&& x._raw._compressor_params == y._raw._compressor_params
|
|
&& x._raw._is_dense == y._raw._is_dense
|
|
&& x._raw._is_compound == y._raw._is_compound
|
|
&& x._raw._type == y._raw._type
|
|
&& x._raw._gc_grace_seconds == y._raw._gc_grace_seconds
|
|
&& x.paxos_grace_seconds() == y.paxos_grace_seconds()
|
|
&& x._raw._dc_local_read_repair_chance == y._raw._dc_local_read_repair_chance
|
|
&& x._raw._read_repair_chance == y._raw._read_repair_chance
|
|
&& x._raw._min_compaction_threshold == y._raw._min_compaction_threshold
|
|
&& x._raw._max_compaction_threshold == y._raw._max_compaction_threshold
|
|
&& x._raw._min_index_interval == y._raw._min_index_interval
|
|
&& x._raw._max_index_interval == y._raw._max_index_interval
|
|
&& x._raw._memtable_flush_period == y._raw._memtable_flush_period
|
|
&& x._raw._speculative_retry == y._raw._speculative_retry
|
|
&& x._raw._compaction_strategy == y._raw._compaction_strategy
|
|
&& x._raw._compaction_strategy_options == y._raw._compaction_strategy_options
|
|
&& x._raw._compaction_enabled == y._raw._compaction_enabled
|
|
&& x.cdc_options() == y.cdc_options()
|
|
&& x.tombstone_gc_options() == y.tombstone_gc_options()
|
|
&& x._raw._caching_options == y._raw._caching_options
|
|
&& x._raw._dropped_columns == y._raw._dropped_columns
|
|
&& x._raw._collections == y._raw._collections
|
|
&& indirect_equal_to<std::unique_ptr<::view_info>>()(x._view_info, y._view_info)
|
|
&& x._raw._indices_by_name == y._raw._indices_by_name
|
|
&& x._raw._is_counter == y._raw._is_counter
|
|
;
|
|
#if 0
|
|
&& Objects.equal(triggers, other.triggers)
|
|
#endif
|
|
}
|
|
|
|
index_metadata::index_metadata(const sstring& name,
|
|
const index_options_map& options,
|
|
index_metadata_kind kind,
|
|
is_local_index local)
|
|
: _id{utils::UUID_gen::get_name_UUID(name)}
|
|
, _name{name}
|
|
, _kind{kind}
|
|
, _options{options}
|
|
, _local{bool(local)}
|
|
{}
|
|
|
|
bool index_metadata::operator==(const index_metadata& other) const {
|
|
return _id == other._id
|
|
&& _name == other._name
|
|
&& _kind == other._kind
|
|
&& _options == other._options;
|
|
}
|
|
|
|
bool index_metadata::equals_noname(const index_metadata& other) const {
|
|
return _kind == other._kind && _options == other._options;
|
|
}
|
|
|
|
const utils::UUID& index_metadata::id() const {
|
|
return _id;
|
|
}
|
|
|
|
const sstring& index_metadata::name() const {
|
|
return _name;
|
|
}
|
|
|
|
const index_metadata_kind index_metadata::kind() const {
|
|
return _kind;
|
|
}
|
|
|
|
const index_options_map& index_metadata::options() const {
|
|
return _options;
|
|
}
|
|
|
|
bool index_metadata::local() const {
|
|
return _local;
|
|
}
|
|
|
|
sstring index_metadata::get_default_index_name(const sstring& cf_name,
|
|
std::optional<sstring> root) {
|
|
if (root) {
|
|
// As noted in issue #3403, because table names in CQL only use word
|
|
// characters [A-Za-z0-9_], the default index name should drop other
|
|
// characters from the column name ("root").
|
|
sstring name = root.value();
|
|
name.erase(std::remove_if(name.begin(), name.end(), [](char c) {
|
|
return !((c >= 'A' && c <= 'Z') ||
|
|
(c >= 'a' && c <= 'z') ||
|
|
(c >= '0' && c <= '9') ||
|
|
(c == '_')); }), name.end());
|
|
return cf_name + "_" + name + "_idx";
|
|
}
|
|
return cf_name + "_idx";
|
|
}
|
|
|
|
column_definition::column_definition(bytes name, data_type type, column_kind kind, column_id component_index, column_view_virtual is_view_virtual, column_computation_ptr computation, api::timestamp_type dropped_at)
|
|
: _name(std::move(name))
|
|
, _dropped_at(dropped_at)
|
|
, _is_atomic(type->is_atomic())
|
|
, _is_counter(type->is_counter())
|
|
, _is_view_virtual(is_view_virtual)
|
|
, _computation(std::move(computation))
|
|
, type(std::move(type))
|
|
, id(component_index)
|
|
, kind(kind)
|
|
{}
|
|
|
|
std::ostream& operator<<(std::ostream& os, const column_definition& cd) {
|
|
os << "ColumnDefinition{";
|
|
os << "name=" << cd.name_as_text();
|
|
os << ", type=" << cd.type->name();
|
|
os << ", kind=" << to_sstring(cd.kind);
|
|
if (cd.is_view_virtual()) {
|
|
os << ", view_virtual";
|
|
}
|
|
if (cd.is_computed()) {
|
|
os << ", computed:" << cd.get_computation().serialize();
|
|
}
|
|
os << ", componentIndex=" << (cd.has_component_index() ? std::to_string(cd.component_index()) : "null");
|
|
os << ", droppedAt=" << cd._dropped_at;
|
|
os << "}";
|
|
return os;
|
|
}
|
|
|
|
const column_definition*
|
|
schema::get_column_definition(const bytes& name) const {
|
|
auto i = _columns_by_name.find(name);
|
|
if (i == _columns_by_name.end()) {
|
|
return nullptr;
|
|
}
|
|
return i->second;
|
|
}
|
|
|
|
const column_definition&
|
|
schema::column_at(column_kind kind, column_id id) const {
|
|
return column_at(static_cast<ordinal_column_id>(column_offset(kind) + id));
|
|
}
|
|
|
|
const column_definition&
|
|
schema::column_at(ordinal_column_id ordinal_id) const {
|
|
if (size_t(ordinal_id) >= _raw._columns.size()) [[unlikely]] {
|
|
on_internal_error(dblog, format("{}.{}@{}: column id {:d} >= {:d}",
|
|
ks_name(), cf_name(), version(), size_t(ordinal_id), _raw._columns.size()));
|
|
}
|
|
return _raw._columns.at(static_cast<column_count_type>(ordinal_id));
|
|
}
|
|
|
|
std::ostream& operator<<(std::ostream& os, const schema& s) {
|
|
os << "org.apache.cassandra.config.CFMetaData@" << &s << "[";
|
|
os << "cfId=" << s._raw._id;
|
|
os << ",ksName=" << s._raw._ks_name;
|
|
os << ",cfName=" << s._raw._cf_name;
|
|
os << ",cfType=" << cf_type_to_sstring(s._raw._type);
|
|
os << ",comparator=" << cell_comparator::to_sstring(s);
|
|
os << ",comment=" << s._raw._comment;
|
|
os << ",readRepairChance=" << s._raw._read_repair_chance;
|
|
os << ",dcLocalReadRepairChance=" << s._raw._dc_local_read_repair_chance;
|
|
os << ",gcGraceSeconds=" << s._raw._gc_grace_seconds;
|
|
os << ",keyValidator=" << s.thrift_key_validator();
|
|
os << ",minCompactionThreshold=" << s._raw._min_compaction_threshold;
|
|
os << ",maxCompactionThreshold=" << s._raw._max_compaction_threshold;
|
|
os << ",columnMetadata=[";
|
|
int n = 0;
|
|
for (auto& cdef : s._raw._columns) {
|
|
if (n++ != 0) {
|
|
os << ", ";
|
|
}
|
|
os << cdef;
|
|
}
|
|
os << "]";
|
|
os << ",compactionStrategyClass=class org.apache.cassandra.db.compaction." << sstables::compaction_strategy::name(s._raw._compaction_strategy);
|
|
os << ",compactionStrategyOptions={";
|
|
n = 0;
|
|
for (auto& p : s._raw._compaction_strategy_options) {
|
|
os << p.first << "=" << p.second;
|
|
os << ", ";
|
|
}
|
|
os << "enabled=" << std::boolalpha << s._raw._compaction_enabled;
|
|
os << "}";
|
|
os << ",compressionParameters={";
|
|
n = 0;
|
|
for (auto& p : s._raw._compressor_params.get_options() ) {
|
|
if (n++ != 0) {
|
|
os << ", ";
|
|
}
|
|
os << p.first << "=" << p.second;
|
|
}
|
|
os << "}";
|
|
os << ",bloomFilterFpChance=" << s._raw._bloom_filter_fp_chance;
|
|
os << ",memtableFlushPeriod=" << s._raw._memtable_flush_period;
|
|
os << ",caching=" << s._raw._caching_options.to_sstring();
|
|
os << ",cdc=" << s.cdc_options().to_sstring();
|
|
os << ",defaultTimeToLive=" << s._raw._default_time_to_live.count();
|
|
os << ",minIndexInterval=" << s._raw._min_index_interval;
|
|
os << ",maxIndexInterval=" << s._raw._max_index_interval;
|
|
os << ",speculativeRetry=" << s._raw._speculative_retry.to_sstring();
|
|
os << ",triggers=[]";
|
|
os << ",isDense=" << std::boolalpha << s._raw._is_dense;
|
|
os << ",version=" << s.version();
|
|
os << ",droppedColumns={";
|
|
n = 0;
|
|
for (auto& dc : s._raw._dropped_columns) {
|
|
if (n++ != 0) {
|
|
os << ", ";
|
|
}
|
|
os << dc.first << " : { " << dc.second.type->name() << ", " << dc.second.timestamp << " }";
|
|
}
|
|
os << "}";
|
|
os << ",collections={";
|
|
n = 0;
|
|
for (auto& c : s._raw._collections) {
|
|
if (n++ != 0) {
|
|
os << ", ";
|
|
}
|
|
os << c.first << " : " << c.second->name();
|
|
}
|
|
os << "}";
|
|
os << ",indices={";
|
|
n = 0;
|
|
for (auto& c : s._raw._indices_by_name) {
|
|
if (n++ != 0) {
|
|
os << ", ";
|
|
}
|
|
os << c.first << " : " << c.second.id();
|
|
}
|
|
os << "}";
|
|
if (s.is_view()) {
|
|
os << ", viewInfo=" << *s.view_info();
|
|
}
|
|
os << "]";
|
|
return os;
|
|
}
|
|
|
|
static std::ostream& map_as_cql_param(std::ostream& os, const std::map<sstring, sstring>& map, bool first = true) {
|
|
for (auto i: map) {
|
|
if (first) {
|
|
first = false;
|
|
} else {
|
|
os << ",";
|
|
}
|
|
os << "'" << i.first << "': '" << i.second << "'";
|
|
}
|
|
|
|
return os;
|
|
}
|
|
|
|
static std::ostream& column_definition_as_cql_key(std::ostream& os, const column_definition & cd) {
|
|
os << cd.name_as_cql_string();
|
|
os << " " << cd.type->cql3_type_name();
|
|
|
|
if (cd.kind == column_kind::static_column) {
|
|
os << " STATIC";
|
|
}
|
|
return os;
|
|
}
|
|
|
|
static bool is_global_index(replica::database& db, const utils::UUID& id, const schema& s) {
|
|
return db.find_column_family(id).get_index_manager().is_global_index(s);
|
|
}
|
|
|
|
static bool is_index(replica::database& db, const utils::UUID& id, const schema& s) {
|
|
return db.find_column_family(id).get_index_manager().is_index(s);
|
|
}
|
|
|
|
|
|
std::ostream& schema::describe(replica::database& db, std::ostream& os) const {
|
|
os << "CREATE ";
|
|
int n = 0;
|
|
|
|
if (is_view()) {
|
|
if (is_index(db, view_info()->base_id(), *this)) {
|
|
auto is_local = !is_global_index(db, view_info()->base_id(), *this);
|
|
|
|
os << "INDEX " << cql3::util::maybe_quote(secondary_index::index_name_from_table_name(cf_name())) << " ON "
|
|
<< cql3::util::maybe_quote(ks_name()) << "." << cql3::util::maybe_quote(view_info()->base_name()) << "(";
|
|
if (is_local) {
|
|
os << "(";
|
|
}
|
|
for (auto& pk : partition_key_columns()) {
|
|
if (n++ != 0) {
|
|
os << ", ";
|
|
}
|
|
os << pk.name_as_cql_string();
|
|
}
|
|
if (is_local) {
|
|
os << ")";
|
|
if (!clustering_key_columns().empty()) {
|
|
os << ", " << clustering_key_columns().front().name_as_cql_string();
|
|
}
|
|
}
|
|
os <<");\n";
|
|
return os;
|
|
} else {
|
|
os << "MATERIALIZED VIEW " << cql3::util::maybe_quote(ks_name()) << "." << cql3::util::maybe_quote(cf_name()) << " AS\n";
|
|
os << " SELECT ";
|
|
for (auto& cdef : all_columns()) {
|
|
if (cdef.is_hidden_from_cql()) {
|
|
continue;
|
|
}
|
|
if (n++ != 0) {
|
|
os << ", ";
|
|
}
|
|
os << cdef.name_as_cql_string();
|
|
}
|
|
os << "\n FROM " << cql3::util::maybe_quote(ks_name()) << "." << cql3::util::maybe_quote(view_info()->base_name());
|
|
os << "\n WHERE " << view_info()->where_clause();
|
|
}
|
|
} else {
|
|
os << " TABLE " << cql3::util::maybe_quote(ks_name()) << "." << cql3::util::maybe_quote(cf_name()) << " (";
|
|
for (auto& cdef : all_columns()) {
|
|
os << "\n ";
|
|
column_definition_as_cql_key(os, cdef);
|
|
os << ",";
|
|
}
|
|
}
|
|
|
|
os << "\n PRIMARY KEY (";
|
|
if (partition_key_columns().size() > 1) {
|
|
os << "(";
|
|
}
|
|
n = 0;
|
|
for (auto& pk : partition_key_columns()) {
|
|
if (n++ != 0) {
|
|
os << ", ";
|
|
}
|
|
os << pk.name_as_cql_string();
|
|
}
|
|
if (partition_key_columns().size() > 1) {
|
|
os << ")";
|
|
}
|
|
for (auto& pk : clustering_key_columns()) {
|
|
os << ", ";
|
|
os << pk.name_as_cql_string();
|
|
}
|
|
os << ")";
|
|
if (is_view()) {
|
|
os << "\n ";
|
|
} else {
|
|
os << "\n) ";
|
|
}
|
|
os << "WITH ";
|
|
if (!clustering_key_columns().empty()) {
|
|
// Adding clustering key order can be optional, but there's no harm in doing so.
|
|
os << "CLUSTERING ORDER BY (";
|
|
n = 0;
|
|
for (auto& pk : clustering_key_columns()) {
|
|
if (n++ != 0) {
|
|
os << ", ";
|
|
}
|
|
os << pk.name_as_cql_string();
|
|
if (pk.type->is_reversed()) {
|
|
os << " DESC";
|
|
} else {
|
|
os << " ASC";
|
|
}
|
|
}
|
|
os << ")\n AND ";
|
|
}
|
|
if (is_compact_table()) {
|
|
os << "COMPACT STORAGE\n AND ";
|
|
}
|
|
os << "bloom_filter_fp_chance = " << bloom_filter_fp_chance();
|
|
os << "\n AND caching = {";
|
|
map_as_cql_param(os, caching_options().to_map());
|
|
os << "}";
|
|
os << "\n AND comment = '" << comment()<< "'";
|
|
os << "\n AND compaction = {'class': '" << sstables::compaction_strategy::name(compaction_strategy()) << "'";
|
|
map_as_cql_param(os, compaction_strategy_options(), false) << "}";
|
|
os << "\n AND compression = {";
|
|
map_as_cql_param(os, get_compressor_params().get_options());
|
|
os << "}";
|
|
|
|
os << "\n AND crc_check_chance = " << crc_check_chance();
|
|
os << "\n AND dclocal_read_repair_chance = " << dc_local_read_repair_chance();
|
|
os << "\n AND default_time_to_live = " << default_time_to_live().count();
|
|
os << "\n AND gc_grace_seconds = " << gc_grace_seconds().count();
|
|
os << "\n AND max_index_interval = " << max_index_interval();
|
|
os << "\n AND memtable_flush_period_in_ms = " << memtable_flush_period();
|
|
os << "\n AND min_index_interval = " << min_index_interval();
|
|
os << "\n AND read_repair_chance = " << read_repair_chance();
|
|
os << "\n AND speculative_retry = '" << speculative_retry().to_sstring() << "';";
|
|
os << "\n";
|
|
|
|
return os;
|
|
}
|
|
|
|
const sstring&
|
|
column_definition::name_as_text() const {
|
|
return column_specification->name->text();
|
|
}
|
|
|
|
const bytes&
|
|
column_definition::name() const {
|
|
return _name;
|
|
}
|
|
|
|
sstring column_definition::name_as_cql_string() const {
|
|
return cql3::util::maybe_quote(name_as_text());
|
|
}
|
|
|
|
bool column_definition::is_on_all_components() const {
|
|
return _thrift_bits.is_on_all_components;
|
|
}
|
|
|
|
bool operator==(const column_definition& x, const column_definition& y)
|
|
{
|
|
return x._name == y._name
|
|
&& x.type == y.type
|
|
&& x.id == y.id
|
|
&& x.kind == y.kind
|
|
&& x._dropped_at == y._dropped_at;
|
|
}
|
|
|
|
// Based on org.apache.cassandra.config.CFMetaData#generateLegacyCfId
|
|
utils::UUID
|
|
generate_legacy_id(const sstring& ks_name, const sstring& cf_name) {
|
|
return utils::UUID_gen::get_name_UUID(ks_name + cf_name);
|
|
}
|
|
|
|
bool thrift_schema::has_compound_comparator() const {
|
|
return _compound;
|
|
}
|
|
|
|
bool thrift_schema::is_dynamic() const {
|
|
return _is_dynamic;
|
|
}
|
|
|
|
schema_builder& schema_builder::set_compaction_strategy_options(std::map<sstring, sstring>&& options) {
|
|
_raw._compaction_strategy_options = std::move(options);
|
|
return *this;
|
|
}
|
|
|
|
schema_builder& schema_builder::with_partitioner(sstring name) {
|
|
_raw._partitioner = get_partitioner(name);
|
|
return *this;
|
|
}
|
|
|
|
schema_builder& schema_builder::with_sharder(unsigned shard_count, unsigned sharding_ignore_msb_bits) {
|
|
_raw._sharder = get_sharder(shard_count, sharding_ignore_msb_bits);
|
|
return *this;
|
|
}
|
|
|
|
schema_builder& schema_builder::with_null_sharder() {
|
|
_raw._sharder = get_sharder(1, 0);
|
|
return *this;
|
|
}
|
|
|
|
schema_builder::schema_builder(std::string_view ks_name, std::string_view cf_name,
|
|
std::optional<utils::UUID> id, data_type rct)
|
|
: _raw(id ? *id : utils::UUID_gen::get_time_UUID())
|
|
{
|
|
// Various schema-creation commands (creating tables, indexes, etc.)
|
|
// usually place limits on which characters are allowed in keyspace or
|
|
// table names. But in case we have a hole in those defences (see issue
|
|
// #3403, for example), let's prevent at least the characters "/" and
|
|
// null from being in the keyspace or table name, because those will
|
|
// surely cause serious problems when materialized to directory names.
|
|
// We throw a logic_error because we expect earlier defences to have
|
|
// avoided this case in the first place.
|
|
if (ks_name.find_first_of('/') != std::string_view::npos ||
|
|
ks_name.find_first_of('\0') != std::string_view::npos) {
|
|
throw std::logic_error(format("Tried to create a schema with illegal characters in keyspace name: {}", ks_name));
|
|
}
|
|
if (cf_name.find_first_of('/') != std::string_view::npos ||
|
|
cf_name.find_first_of('\0') != std::string_view::npos) {
|
|
throw std::logic_error(format("Tried to create a schema with illegal characters in table name: {}", cf_name));
|
|
}
|
|
_raw._ks_name = sstring(ks_name);
|
|
_raw._cf_name = sstring(cf_name);
|
|
_raw._regular_column_name_type = rct;
|
|
}
|
|
|
|
schema_builder::schema_builder(const schema_ptr s)
|
|
: schema_builder(s->_raw)
|
|
{
|
|
if (s->is_view()) {
|
|
_view_info = s->view_info()->raw();
|
|
}
|
|
}
|
|
|
|
schema_builder::schema_builder(const schema::raw_schema& raw)
|
|
: _raw(raw)
|
|
{
|
|
static_assert(schema::row_column_ids_are_ordered_by_name::value, "row columns don't need to be ordered by name");
|
|
// Schema builder may add or remove columns and their ids need to be
|
|
// recomputed in build().
|
|
for (auto& def : _raw._columns | boost::adaptors::filtered([] (auto& def) { return !def.is_primary_key(); })) {
|
|
def.id = 0;
|
|
def.ordinal_id = static_cast<ordinal_column_id>(0);
|
|
}
|
|
}
|
|
|
|
schema_builder::schema_builder(
|
|
std::optional<utils::UUID> id,
|
|
std::string_view ks_name,
|
|
std::string_view cf_name,
|
|
std::vector<schema::column> partition_key,
|
|
std::vector<schema::column> clustering_key,
|
|
std::vector<schema::column> regular_columns,
|
|
std::vector<schema::column> static_columns,
|
|
data_type regular_column_name_type,
|
|
sstring comment)
|
|
: schema_builder(ks_name, cf_name, std::move(id), std::move(regular_column_name_type)) {
|
|
for (auto&& column : partition_key) {
|
|
with_column(std::move(column.name), std::move(column.type), column_kind::partition_key);
|
|
}
|
|
for (auto&& column : clustering_key) {
|
|
with_column(std::move(column.name), std::move(column.type), column_kind::clustering_key);
|
|
}
|
|
for (auto&& column : regular_columns) {
|
|
with_column(std::move(column.name), std::move(column.type));
|
|
}
|
|
for (auto&& column : static_columns) {
|
|
with_column(std::move(column.name), std::move(column.type), column_kind::static_column);
|
|
}
|
|
set_comment(comment);
|
|
}
|
|
|
|
column_definition& schema_builder::find_column(const cql3::column_identifier& c) {
|
|
auto i = std::find_if(_raw._columns.begin(), _raw._columns.end(), [c](auto& p) {
|
|
return p.name() == c.name();
|
|
});
|
|
if (i != _raw._columns.end()) {
|
|
return *i;
|
|
}
|
|
throw std::invalid_argument(format("No such column {}", c.name()));
|
|
}
|
|
|
|
bool schema_builder::has_column(const cql3::column_identifier& c) {
|
|
auto i = std::find_if(_raw._columns.begin(), _raw._columns.end(), [c](auto& p) {
|
|
return p.name() == c.name();
|
|
});
|
|
return i != _raw._columns.end();
|
|
}
|
|
|
|
schema_builder& schema_builder::with_column_ordered(const column_definition& c) {
|
|
return with_column(bytes(c.name()), data_type(c.type), column_kind(c.kind), c.position(), c.view_virtual(), c.get_computation_ptr());
|
|
}
|
|
|
|
schema_builder& schema_builder::with_column(bytes name, data_type type, column_kind kind, column_view_virtual is_view_virtual) {
|
|
// component_index will be determined by schema cosntructor
|
|
return with_column(name, type, kind, 0, is_view_virtual);
|
|
}
|
|
|
|
schema_builder& schema_builder::with_column(bytes name, data_type type, column_kind kind, column_id component_index, column_view_virtual is_view_virtual, column_computation_ptr computation) {
|
|
_raw._columns.emplace_back(name, type, kind, component_index, is_view_virtual, std::move(computation));
|
|
if (type->is_multi_cell()) {
|
|
with_collection(name, type);
|
|
} else if (type->is_counter()) {
|
|
set_is_counter(true);
|
|
}
|
|
return *this;
|
|
}
|
|
|
|
schema_builder& schema_builder::with_computed_column(bytes name, data_type type, column_kind kind, column_computation_ptr computation) {
|
|
return with_column(name, type, kind, 0, column_view_virtual::no, std::move(computation));
|
|
}
|
|
|
|
schema_builder& schema_builder::remove_column(bytes name)
|
|
{
|
|
auto it = boost::range::find_if(_raw._columns, [&] (auto& column) {
|
|
return column.name() == name;
|
|
});
|
|
if(it == _raw._columns.end()) {
|
|
throw std::out_of_range(format("Cannot remove: column {} not found.", name));
|
|
}
|
|
auto name_as_text = it->column_specification ? it->name_as_text() : schema::column_name_type(*it, _raw._regular_column_name_type)->get_string(it->name());
|
|
without_column(name_as_text, it->type, api::new_timestamp());
|
|
_raw._columns.erase(it);
|
|
return *this;
|
|
}
|
|
|
|
schema_builder& schema_builder::without_column(sstring name, api::timestamp_type timestamp) {
|
|
return without_column(std::move(name), bytes_type, timestamp);
|
|
}
|
|
|
|
schema_builder& schema_builder::without_column(sstring name, data_type type, api::timestamp_type timestamp)
|
|
{
|
|
auto ret = _raw._dropped_columns.emplace(name, schema::dropped_column{type, timestamp});
|
|
if (!ret.second && ret.first->second.timestamp < timestamp) {
|
|
ret.first->second.type = type;
|
|
ret.first->second.timestamp = timestamp;
|
|
}
|
|
return *this;
|
|
}
|
|
|
|
schema_builder& schema_builder::rename_column(bytes from, bytes to)
|
|
{
|
|
auto it = std::find_if(_raw._columns.begin(), _raw._columns.end(), [&] (auto& col) {
|
|
return col.name() == from;
|
|
});
|
|
assert(it != _raw._columns.end());
|
|
auto& def = *it;
|
|
column_definition new_def(to, def.type, def.kind, def.component_index());
|
|
_raw._columns.erase(it);
|
|
return with_column_ordered(new_def);
|
|
}
|
|
|
|
schema_builder& schema_builder::alter_column_type(bytes name, data_type new_type)
|
|
{
|
|
auto it = boost::find_if(_raw._columns, [&name] (auto& c) { return c.name() == name; });
|
|
assert(it != _raw._columns.end());
|
|
it->type = new_type;
|
|
|
|
if (new_type->is_multi_cell()) {
|
|
auto c_it = _raw._collections.find(name);
|
|
assert(c_it != _raw._collections.end());
|
|
c_it->second = new_type;
|
|
}
|
|
return *this;
|
|
}
|
|
|
|
schema_builder& schema_builder::mark_column_computed(bytes name, column_computation_ptr computation) {
|
|
auto it = boost::find_if(_raw._columns, [&name] (const column_definition& c) { return c.name() == name; });
|
|
assert(it != _raw._columns.end());
|
|
it->set_computed(std::move(computation));
|
|
|
|
return *this;
|
|
}
|
|
|
|
schema_builder& schema_builder::with_collection(bytes name, data_type type)
|
|
{
|
|
_raw._collections.emplace(name, type);
|
|
return *this;
|
|
}
|
|
|
|
schema_builder& schema_builder::with(compact_storage cs) {
|
|
_compact_storage = cs;
|
|
return *this;
|
|
}
|
|
|
|
schema_builder& schema_builder::with_version(table_schema_version v) {
|
|
_version = v;
|
|
return *this;
|
|
}
|
|
|
|
static const sstring default_partition_key_name = "key";
|
|
static const sstring default_clustering_name = "column";
|
|
static const sstring default_compact_value_name = "value";
|
|
|
|
schema_builder::default_names::default_names(const schema_builder& builder)
|
|
: default_names(builder._raw)
|
|
{}
|
|
|
|
schema_builder::default_names::default_names(const schema::raw_schema& raw)
|
|
: _raw(raw)
|
|
, _partition_index(0)
|
|
, _clustering_index(1)
|
|
, _compact_index(0)
|
|
{}
|
|
|
|
sstring schema_builder::default_names::unique_name(const sstring& base, size_t& idx, size_t off) const {
|
|
for (;;) {
|
|
auto candidate = idx == 0 ? base : base + std::to_string(idx + off);
|
|
++idx;
|
|
auto i = std::find_if(_raw._columns.begin(), _raw._columns.end(), [b = to_bytes(candidate)](const column_definition& c) {
|
|
return c.name() == b;
|
|
});
|
|
if (i == _raw._columns.end()) {
|
|
return candidate;
|
|
}
|
|
}
|
|
}
|
|
|
|
sstring schema_builder::default_names::partition_key_name() {
|
|
// For compatibility sake, we call the first alias 'key' rather than 'key1'. This
|
|
// is inconsistent with column alias, but it's probably not worth risking breaking compatibility now.
|
|
return unique_name(default_partition_key_name, _partition_index, 1);
|
|
}
|
|
|
|
sstring schema_builder::default_names::clustering_name() {
|
|
return unique_name(default_clustering_name, _clustering_index, 0);
|
|
}
|
|
|
|
sstring schema_builder::default_names::compact_value_name() {
|
|
return unique_name(default_compact_value_name, _compact_index, 0);
|
|
}
|
|
|
|
void schema_builder::prepare_dense_schema(schema::raw_schema& raw) {
|
|
auto is_dense = raw._is_dense;
|
|
auto is_compound = raw._is_compound;
|
|
auto is_compact_table = is_dense || !is_compound;
|
|
|
|
if (is_compact_table) {
|
|
auto count_kind = [&raw](column_kind kind) {
|
|
return std::count_if(raw._columns.begin(), raw._columns.end(), [kind](const column_definition& c) {
|
|
return c.kind == kind;
|
|
});
|
|
};
|
|
|
|
default_names names(raw);
|
|
|
|
if (is_dense) {
|
|
auto regular_cols = count_kind(column_kind::regular_column);
|
|
// In Origin, dense CFs always have at least one regular column
|
|
if (regular_cols == 0) {
|
|
raw._columns.emplace_back(to_bytes(names.compact_value_name()),
|
|
empty_type,
|
|
column_kind::regular_column, 0);
|
|
} else if (regular_cols > 1) {
|
|
throw exceptions::configuration_exception(
|
|
format("Expecting exactly one regular column. Found {:d}",
|
|
regular_cols));
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
schema_builder& schema_builder::with_view_info(utils::UUID base_id, sstring base_name, bool include_all_columns, sstring where_clause) {
|
|
_view_info = raw_view_info(std::move(base_id), std::move(base_name), include_all_columns, std::move(where_clause));
|
|
return *this;
|
|
}
|
|
|
|
schema_builder& schema_builder::with_index(const index_metadata& im) {
|
|
_raw._indices_by_name.emplace(im.name(), im);
|
|
return *this;
|
|
}
|
|
|
|
schema_builder& schema_builder::without_index(const sstring& name) {
|
|
if (_raw._indices_by_name.contains(name)) {
|
|
_raw._indices_by_name.erase(name);
|
|
}
|
|
return *this;
|
|
}
|
|
|
|
schema_builder& schema_builder::without_indexes() {
|
|
_raw._indices_by_name.clear();
|
|
return *this;
|
|
}
|
|
|
|
schema_ptr schema_builder::build() {
|
|
schema::raw_schema new_raw = _raw; // Copy so that build() remains idempotent.
|
|
|
|
if (_version) {
|
|
new_raw._version = *_version;
|
|
} else {
|
|
new_raw._version = utils::UUID_gen::get_time_UUID();
|
|
}
|
|
|
|
if (new_raw._is_counter) {
|
|
new_raw._default_validation_class = counter_type;
|
|
}
|
|
|
|
if (_compact_storage) {
|
|
// Dense means that no part of the comparator stores a CQL column name. This means
|
|
// COMPACT STORAGE with at least one columnAliases (otherwise it's a thrift "static" CF).
|
|
auto clustering_key_size = std::count_if(new_raw._columns.begin(), new_raw._columns.end(), [](auto&& col) {
|
|
return col.kind == column_kind::clustering_key;
|
|
});
|
|
new_raw._is_dense = (*_compact_storage == compact_storage::yes) && (clustering_key_size > 0);
|
|
|
|
if (clustering_key_size == 0) {
|
|
if (*_compact_storage == compact_storage::yes) {
|
|
new_raw._is_compound = false;
|
|
} else {
|
|
new_raw._is_compound = true;
|
|
}
|
|
} else {
|
|
if ((*_compact_storage == compact_storage::yes) && clustering_key_size == 1) {
|
|
new_raw._is_compound = false;
|
|
} else {
|
|
new_raw._is_compound = true;
|
|
}
|
|
}
|
|
}
|
|
|
|
prepare_dense_schema(new_raw);
|
|
|
|
// cache `paxos_grace_seconds` value for fast access through the schema object, which is immutable
|
|
if (auto it = new_raw._extensions.find(db::paxos_grace_seconds_extension::NAME); it != new_raw._extensions.end()) {
|
|
new_raw._paxos_grace_seconds =
|
|
dynamic_pointer_cast<db::paxos_grace_seconds_extension>(it->second)->get_paxos_grace_seconds();
|
|
}
|
|
|
|
// cache the `per_partition_rate_limit` parameters for fast access through the schema object.
|
|
if (auto it = new_raw._extensions.find(db::per_partition_rate_limit_extension::NAME); it != new_raw._extensions.end()) {
|
|
new_raw._per_partition_rate_limit_options =
|
|
dynamic_pointer_cast<db::per_partition_rate_limit_extension>(it->second)->get_options();
|
|
}
|
|
|
|
return make_lw_shared<schema>(schema::private_tag{}, new_raw, _view_info);
|
|
}
|
|
|
|
const cdc::options& schema::cdc_options() const {
|
|
static const cdc::options default_cdc_options;
|
|
const auto& schema_extensions = _raw._extensions;
|
|
|
|
if (auto it = schema_extensions.find(cdc::cdc_extension::NAME); it != schema_extensions.end()) {
|
|
return dynamic_pointer_cast<cdc::cdc_extension>(it->second)->get_options();
|
|
}
|
|
return default_cdc_options;
|
|
}
|
|
|
|
const ::tombstone_gc_options& schema::tombstone_gc_options() const {
|
|
static const ::tombstone_gc_options default_tombstone_gc_options;
|
|
const auto& schema_extensions = _raw._extensions;
|
|
|
|
if (auto it = schema_extensions.find(tombstone_gc_extension::NAME); it != schema_extensions.end()) {
|
|
return dynamic_pointer_cast<tombstone_gc_extension>(it->second)->get_options();
|
|
}
|
|
return default_tombstone_gc_options;
|
|
}
|
|
|
|
schema_builder& schema_builder::with_cdc_options(const cdc::options& opts) {
|
|
add_extension(cdc::cdc_extension::NAME, ::make_shared<cdc::cdc_extension>(opts));
|
|
return *this;
|
|
}
|
|
|
|
schema_builder& schema_builder::with_tombstone_gc_options(const tombstone_gc_options& opts) {
|
|
add_extension(tombstone_gc_extension::NAME, ::make_shared<tombstone_gc_extension>(opts));
|
|
return *this;
|
|
}
|
|
|
|
schema_builder& schema_builder::with_per_partition_rate_limit_options(const db::per_partition_rate_limit_options& opts) {
|
|
add_extension(db::per_partition_rate_limit_extension::NAME, ::make_shared<db::per_partition_rate_limit_extension>(opts));
|
|
return *this;
|
|
}
|
|
|
|
schema_builder& schema_builder::set_paxos_grace_seconds(int32_t seconds) {
|
|
add_extension(db::paxos_grace_seconds_extension::NAME, ::make_shared<db::paxos_grace_seconds_extension>(seconds));
|
|
return *this;
|
|
}
|
|
|
|
gc_clock::duration schema::paxos_grace_seconds() const {
|
|
return std::chrono::duration_cast<gc_clock::duration>(
|
|
std::chrono::seconds(
|
|
_raw._paxos_grace_seconds ? *_raw._paxos_grace_seconds : DEFAULT_GC_GRACE_SECONDS
|
|
)
|
|
);
|
|
}
|
|
|
|
schema_ptr schema_builder::build(compact_storage cp) {
|
|
return with(cp).build();
|
|
}
|
|
|
|
// Useful functions to manipulate the schema's comparator field
|
|
namespace cell_comparator {
|
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static constexpr auto _composite_str = "org.apache.cassandra.db.marshal.CompositeType";
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static constexpr auto _collection_str = "org.apache.cassandra.db.marshal.ColumnToCollectionType";
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static sstring compound_name(const schema& s) {
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sstring compound(_composite_str);
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compound += "(";
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if (s.clustering_key_size()) {
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for (auto &t : s.clustering_key_columns()) {
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compound += t.type->name() + ",";
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}
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}
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if (!s.is_dense()) {
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compound += s.regular_column_name_type()->name() + ",";
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}
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if (!s.collections().empty()) {
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compound += _collection_str;
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compound += "(";
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for (auto& c : s.collections()) {
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compound += format("{}:{},", to_hex(c.first), c.second->name());
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}
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compound.back() = ')';
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compound += ",";
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}
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// last one will be a ',', just replace it.
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compound.back() = ')';
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return compound;
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}
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sstring to_sstring(const schema& s) {
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if (s.is_compound()) {
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return compound_name(s);
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} else if (s.clustering_key_size() == 1) {
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assert(s.is_dense() || s.is_static_compact_table());
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return s.clustering_key_columns().front().type->name();
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} else {
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return s.regular_column_name_type()->name();
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}
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}
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bool check_compound(sstring comparator) {
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static sstring compound(_composite_str);
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return comparator.compare(0, compound.size(), compound) == 0;
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}
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void read_collections(schema_builder& builder, sstring comparator)
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{
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// The format of collection entries in the comparator is:
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// org.apache.cassandra.db.marshal.ColumnToCollectionType(<name1>:<type1>, ...)
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auto find_closing_parenthesis = [] (sstring_view str, size_t start) {
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auto pos = start;
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auto nest_level = 0;
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do {
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pos = str.find_first_of("()", pos);
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if (pos == sstring::npos) {
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throw marshal_exception("read_collections - can't find any parentheses");
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}
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if (str[pos] == ')') {
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nest_level--;
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} else if (str[pos] == '(') {
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nest_level++;
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}
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pos++;
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} while (nest_level > 0);
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return pos - 1;
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};
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auto collection_str_length = strlen(_collection_str);
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auto pos = comparator.find(_collection_str);
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if (pos == sstring::npos) {
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return;
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}
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pos += collection_str_length + 1;
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while (pos < comparator.size()) {
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size_t end = comparator.find('(', pos);
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if (end == sstring::npos) {
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throw marshal_exception("read_collections - open parenthesis not found");
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}
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end = find_closing_parenthesis(comparator, end) + 1;
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auto colon = comparator.find(':', pos);
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if (colon == sstring::npos || colon > end) {
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throw marshal_exception("read_collections - colon not found");
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}
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auto name = from_hex(sstring_view(comparator.c_str() + pos, colon - pos));
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colon++;
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auto type_str = sstring_view(comparator.c_str() + colon, end - colon);
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auto type = db::marshal::type_parser::parse(type_str);
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builder.with_collection(name, type);
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if (end < comparator.size() && comparator[end] == ',') {
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pos = end + 1;
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} else if (end < comparator.size() && comparator[end] == ')') {
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pos = sstring::npos;
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} else {
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throw marshal_exception("read_collections - invalid collection format");
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}
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}
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}
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}
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schema::const_iterator
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schema::regular_begin() const {
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return regular_columns().begin();
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}
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schema::const_iterator
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schema::regular_end() const {
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return regular_columns().end();
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}
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struct column_less_comparator {
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bool operator()(const column_definition& def, const bytes& name) {
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return def.name() < name;
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}
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bool operator()(const bytes& name, const column_definition& def) {
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return name < def.name();
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}
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};
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schema::const_iterator
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schema::regular_lower_bound(const bytes& name) const {
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return boost::lower_bound(regular_columns(), name, column_less_comparator());
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}
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schema::const_iterator
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schema::regular_upper_bound(const bytes& name) const {
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return boost::upper_bound(regular_columns(), name, column_less_comparator());
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}
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schema::const_iterator
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schema::static_begin() const {
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return static_columns().begin();
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}
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schema::const_iterator
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schema::static_end() const {
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return static_columns().end();
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}
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schema::const_iterator
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schema::static_lower_bound(const bytes& name) const {
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return boost::lower_bound(static_columns(), name, column_less_comparator());
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}
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schema::const_iterator
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schema::static_upper_bound(const bytes& name) const {
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return boost::upper_bound(static_columns(), name, column_less_comparator());
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}
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data_type
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schema::column_name_type(const column_definition& def, const data_type& regular_column_name_type) {
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if (def.kind == column_kind::regular_column) {
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return regular_column_name_type;
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}
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return utf8_type;
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}
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data_type
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schema::column_name_type(const column_definition& def) const {
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return column_name_type(def, _raw._regular_column_name_type);
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}
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const column_definition&
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schema::regular_column_at(column_id id) const {
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if (id >= regular_columns_count()) {
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on_internal_error(dblog, format("{}.{}@{}: regular column id {:d} >= {:d}",
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ks_name(), cf_name(), version(), id, regular_columns_count()));
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}
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return _raw._columns.at(column_offset(column_kind::regular_column) + id);
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}
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const column_definition&
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schema::clustering_column_at(column_id id) const {
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if (id >= clustering_key_size()) {
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on_internal_error(dblog, format("{}.{}@{}: clustering column id {:d} >= {:d}",
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ks_name(), cf_name(), version(), id, clustering_key_size()));
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}
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return _raw._columns.at(column_offset(column_kind::clustering_key) + id);
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}
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const column_definition&
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schema::static_column_at(column_id id) const {
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if (id >= static_columns_count()) {
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on_internal_error(dblog, format("{}.{}@{}: static column id {:d} >= {:d}",
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ks_name(), cf_name(), version(), id, static_columns_count()));
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}
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return _raw._columns.at(column_offset(column_kind::static_column) + id);
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}
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bool
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schema::is_last_partition_key(const column_definition& def) const {
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return &_raw._columns.at(partition_key_size() - 1) == &def;
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}
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bool
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schema::has_static_columns() const {
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return !static_columns().empty();
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}
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column_count_type
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schema::columns_count(column_kind kind) const {
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switch (kind) {
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case column_kind::partition_key:
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return partition_key_size();
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case column_kind::clustering_key:
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return clustering_key_size();
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case column_kind::static_column:
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return static_columns_count();
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case column_kind::regular_column:
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return regular_columns_count();
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default:
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std::abort();
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}
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}
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column_count_type
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schema::partition_key_size() const {
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return column_offset(column_kind::clustering_key);
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}
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schema::const_iterator_range_type
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schema::partition_key_columns() const {
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return boost::make_iterator_range(_raw._columns.begin() + column_offset(column_kind::partition_key)
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, _raw._columns.begin() + column_offset(column_kind::clustering_key));
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}
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schema::const_iterator_range_type
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schema::clustering_key_columns() const {
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return boost::make_iterator_range(_raw._columns.begin() + column_offset(column_kind::clustering_key)
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, _raw._columns.begin() + column_offset(column_kind::static_column));
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}
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schema::const_iterator_range_type
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schema::static_columns() const {
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return boost::make_iterator_range(_raw._columns.begin() + column_offset(column_kind::static_column)
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, _raw._columns.begin() + column_offset(column_kind::regular_column));
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}
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schema::const_iterator_range_type
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schema::regular_columns() const {
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return boost::make_iterator_range(_raw._columns.begin() + column_offset(column_kind::regular_column)
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, _raw._columns.end());
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}
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schema::const_iterator_range_type
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schema::columns(column_kind kind) const {
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switch (kind) {
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case column_kind::partition_key:
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return partition_key_columns();
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case column_kind::clustering_key:
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return clustering_key_columns();
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case column_kind::static_column:
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return static_columns();
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case column_kind::regular_column:
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return regular_columns();
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}
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throw std::invalid_argument(std::to_string(int(kind)));
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}
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schema::select_order_range schema::all_columns_in_select_order() const {
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auto is_static_compact_table = this->is_static_compact_table();
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auto no_non_pk_columns = is_compact_table()
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// Origin: && CompactTables.hasEmptyCompactValue(this);
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&& regular_columns_count() == 1
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&& [](const column_definition& c) {
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// We use empty_type now to match origin, but earlier incarnations
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// set name empty instead. check either.
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return c.type == empty_type || c.name().empty();
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}(regular_column_at(0));
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auto pk_range = const_iterator_range_type(_raw._columns.begin(),
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_raw._columns.begin() + (is_static_compact_table ?
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column_offset(column_kind::clustering_key) :
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column_offset(column_kind::static_column)));
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auto ck_v_range = no_non_pk_columns ? static_columns()
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: const_iterator_range_type(static_columns().begin(), all_columns().end());
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return boost::range::join(pk_range, ck_v_range);
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}
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uint32_t
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schema::position(const column_definition& column) const {
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if (column.is_primary_key()) {
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return column.id;
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}
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return clustering_key_size();
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}
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std::optional<index_metadata> schema::find_index_noname(const index_metadata& target) const {
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const auto& it = boost::find_if(_raw._indices_by_name, [&] (auto&& e) {
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return e.second.equals_noname(target);
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});
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if (it != _raw._indices_by_name.end()) {
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return it->second;
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}
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return {};
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}
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std::vector<index_metadata> schema::indices() const {
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return boost::copy_range<std::vector<index_metadata>>(_raw._indices_by_name | boost::adaptors::map_values);
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}
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const std::unordered_map<sstring, index_metadata>& schema::all_indices() const {
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return _raw._indices_by_name;
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}
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bool schema::has_index(const sstring& index_name) const {
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return _raw._indices_by_name.contains(index_name);
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}
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std::vector<sstring> schema::index_names() const {
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return boost::copy_range<std::vector<sstring>>(_raw._indices_by_name | boost::adaptors::map_keys);
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}
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data_type schema::make_legacy_default_validator() const {
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return _raw._default_validation_class;
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}
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bool schema::is_synced() const {
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return _registry_entry && _registry_entry->is_synced();
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}
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bool schema::equal_columns(const schema& other) const {
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return boost::equal(all_columns(), other.all_columns());
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}
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schema_ptr schema::make_reversed() const {
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return make_lw_shared<schema>(schema::reversed_tag{}, *this);
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}
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schema_ptr schema::get_reversed() const {
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return local_schema_registry().get_or_load(utils::UUID_gen::negate(_raw._version), [this] (table_schema_version) {
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return frozen_schema(make_reversed());
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});
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}
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raw_view_info::raw_view_info(utils::UUID base_id, sstring base_name, bool include_all_columns, sstring where_clause)
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: _base_id(std::move(base_id))
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, _base_name(std::move(base_name))
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, _include_all_columns(include_all_columns)
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, _where_clause(where_clause)
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{ }
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column_computation_ptr column_computation::deserialize(bytes_view raw) {
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rjson::value parsed = rjson::parse(std::string_view(reinterpret_cast<const char*>(raw.begin()), reinterpret_cast<const char*>(raw.end())));
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if (!parsed.IsObject()) {
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throw std::runtime_error(format("Invalid column computation value: {}", parsed));
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}
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const rjson::value* type_json = rjson::find(parsed, "type");
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if (!type_json || !type_json->IsString()) {
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throw std::runtime_error(format("Type {} is not convertible to string", *type_json));
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}
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if (rjson::to_string_view(*type_json) == "token") {
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return std::make_unique<legacy_token_column_computation>();
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}
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if (rjson::to_string_view(*type_json) == "token_v2") {
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return std::make_unique<token_column_computation>();
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}
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throw std::runtime_error(format("Incorrect column computation type {} found when parsing {}", *type_json, parsed));
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}
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bytes legacy_token_column_computation::serialize() const {
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rjson::value serialized = rjson::empty_object();
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rjson::add(serialized, "type", rjson::from_string("token"));
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return to_bytes(rjson::print(serialized));
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}
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bytes_opt legacy_token_column_computation::compute_value(const schema& schema, const partition_key& key, const clustering_row& row) const {
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return dht::get_token(schema, key).data();
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}
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bytes token_column_computation::serialize() const {
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rjson::value serialized = rjson::empty_object();
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rjson::add(serialized, "type", rjson::from_string("token_v2"));
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return to_bytes(rjson::print(serialized));
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}
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bytes_opt token_column_computation::compute_value(const schema& schema, const partition_key& key, const clustering_row& row) const {
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auto long_value = dht::token::to_int64(dht::get_token(schema, key));
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return long_type->decompose(long_value);
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}
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bool operator==(const raw_view_info& x, const raw_view_info& y) {
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return x._base_id == y._base_id
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&& x._base_name == y._base_name
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&& x._include_all_columns == y._include_all_columns
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&& x._where_clause == y._where_clause;
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}
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std::ostream& operator<<(std::ostream& os, const raw_view_info& view) {
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os << "ViewInfo{";
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os << "baseTableId=" << view._base_id;
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os << ", baseTableName=" << view._base_name;
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os << ", includeAllColumns=" << view._include_all_columns;
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os << ", whereClause=" << view._where_clause;
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os << "}";
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return os;
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}
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std::ostream& operator<<(std::ostream& os, const view_ptr& view) {
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return view ? os << *view : os << "null";
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}
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schema_mismatch_error::schema_mismatch_error(table_schema_version expected, const schema& access)
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: std::runtime_error(fmt::format("Attempted to deserialize schema-dependent object of version {} using {}.{} {}",
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expected, access.ks_name(), access.cf_name(), access.version()))
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{ }
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