legacy_schema_migrator: Add schema table converter
Initial. Does not actually write anything.
This commit is contained in:
@@ -421,6 +421,7 @@ scylla_core = (['database.cc',
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'db/consistency_level.cc',
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'db/system_keyspace.cc',
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'db/schema_tables.cc',
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'db/legacy_schema_migrator.cc',
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'db/commitlog/commitlog.cc',
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'db/commitlog/commitlog_replayer.cc',
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'db/commitlog/commitlog_entry.cc',
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600
db/legacy_schema_migrator.cc
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600
db/legacy_schema_migrator.cc
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@@ -0,0 +1,600 @@
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/*
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* Licensed to the Apache Software Foundation (ASF) under one
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* or more contributor license agreements. See the NOTICE file
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* distributed with this work for additional information
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* regarding copyright ownership. The ASF licenses this file
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* to you under the Apache License, Version 2.0 (the
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* "License"); you may not use this file except in compliance
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* with the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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/*
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* Modified by ScyllaDB
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* Copyright (C) 2017 ScyllaDB
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*/
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/*
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* This file is part of Scylla.
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*
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* Scylla is free software: you can redistribute it and/or modify
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* it under the terms of the GNU Affero General Public License as published by
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* the Free Software Foundation, either version 3 of the License, or
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* (at your option) any later version.
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*
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* Scylla is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License
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* along with Scylla. If not, see <http://www.gnu.org/licenses/>.
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*/
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#include <boost/iterator/filter_iterator.hpp>
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#include <seastar/core/future-util.hh>
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#include <seastar/util/log.hh>
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#include <map>
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#include <chrono>
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#include "database.hh"
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#include "legacy_schema_migrator.hh"
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#include "system_keyspace.hh"
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#include "schema_tables.hh"
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#include "schema_builder.hh"
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#include "json.hh"
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#include "cql3/query_processor.hh"
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static seastar::logger logger("legacy_schema_migrator");
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namespace db {
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namespace legacy_schema_migrator {
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// local data carriers
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class migrator {
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public:
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migrator(cql3::query_processor& qp)
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: _qp(qp) {
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}
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migrator(migrator&&) = default;
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typedef db_clock::time_point time_point;
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// TODO: we dont't support triggers.
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// this is a placeholder.
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struct trigger {
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time_point timestamp;
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sstring name;
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std::unordered_map<sstring, sstring> options;
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};
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struct table {
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time_point timestamp;
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schema_ptr metadata;
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std::vector<trigger> triggers;
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};
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struct type {
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time_point timestamp;
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user_type metadata;
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};
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struct function {
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time_point timestamp;
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sstring ks_name;
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sstring fn_name;
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std::vector<sstring> arg_names;
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std::vector<sstring> arg_types;
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sstring return_type;
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bool called_on_null_input;
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sstring language;
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sstring body;
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};
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struct aggregate {
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time_point timestamp;
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sstring ks_name;
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sstring fn_name;
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std::vector<sstring> arg_names;
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std::vector<sstring> arg_types;
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sstring return_type;
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sstring final_func;
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sstring initcond;
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sstring state_func;
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sstring state_type;
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};
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struct keyspace {
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time_point timestamp;
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sstring name;
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bool durable_writes;
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std::map<sstring, sstring> replication_params;
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std::vector<table> tables;
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std::vector<type> types;
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std::vector<function> functions;
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std::vector<aggregate> aggregates;
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};
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class unsupported_feature : public std::runtime_error {
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public:
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using runtime_error::runtime_error;
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};
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static sstring fmt_query(const char* fmt, const char* table) {
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return sprint(fmt, db::system_keyspace::NAME, table);
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}
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typedef ::shared_ptr<cql3::untyped_result_set> result_set_type;
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typedef const cql3::untyped_result_set::row row_type;
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future<> read_table(keyspace& dst, sstring cf_name, time_point timestamp) {
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auto fmt = "SELECT * FROM %s.%s WHERE keyspace_name = ? AND columnfamily_name = ?";
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auto tq = fmt_query(fmt, db::system_keyspace::legacy::COLUMNFAMILIES);
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auto cq = fmt_query(fmt, db::system_keyspace::legacy::COLUMNS);
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auto zq = fmt_query(fmt, db::system_keyspace::legacy::TRIGGERS);
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typedef std::tuple<future<result_set_type>, future<result_set_type>, future<result_set_type>> result_tuple;
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return when_all(_qp.execute_internal(tq, { dst.name, cf_name }),
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_qp.execute_internal(cq, { dst.name, cf_name }),
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_qp.execute_internal(zq, { dst.name, cf_name })).then([this, &dst, cf_name, timestamp](result_tuple&& t) {
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result_set_type tables = std::get<0>(t).get0();
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result_set_type columns = std::get<1>(t).get0();
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result_set_type triggers = std::get<2>(t).get0();
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row_type& td = tables->one();
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auto ks_name = td.get_as<sstring>("keyspace_name");
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auto cf_name = td.get_as<sstring>("columnfamily_name");
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auto id = td.get_or("cf_id", generate_legacy_id(ks_name, cf_name));
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schema_builder builder(dst.name, cf_name, id);
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cf_type cf = sstring_to_cf_type(td.get_or("type", sstring("standard")));
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if (cf == cf_type::super) {
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fail(unimplemented::cause::SUPER);
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}
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auto comparator = td.get_as<sstring>("comparator");
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bool is_compound = cell_comparator::check_compound(comparator);
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builder.set_is_compound(is_compound);
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cell_comparator::read_collections(builder, comparator);
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bool filter_sparse = false;
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data_type default_validator = {};
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if (td.has("default_validator")) {
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default_validator = db::schema_tables::parse_type(td.get_as<sstring>("default_validator"));
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if (default_validator->is_counter()) {
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builder.set_is_counter(true);
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}
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}
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/*
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* Determine whether or not the table is *really* dense
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* We cannot trust is_dense value of true (see CASSANDRA-11502, that fixed the issue for 2.2 only, and not retroactively),
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* but we can trust is_dense value of false.
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*/
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auto is_dense = td.get_opt<bool>("is_dense");
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if (is_dense && !*is_dense) {
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builder.set_is_dense(false);
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} else {
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auto calulated_is_dense = [&] {
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/*
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* As said above, this method is only here because we need to deal with thrift upgrades.
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* Once a CF has been "upgraded", i.e. we've rebuilt and save its CQL3 metadata at least once,
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* then we'll have saved the "is_dense" value and will be good to go.
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*
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* But non-upgraded thrift CF (and pre-7744 CF) will have no value for "is_dense", so we need
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* to infer that information without relying on it in that case. And for the most part this is
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* easy, a CF that has at least one REGULAR definition is not dense. But the subtlety is that not
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* having a REGULAR definition may not mean dense because of CQL3 definitions that have only the
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* PRIMARY KEY defined.
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*
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* So we need to recognize those special case CQL3 table with only a primary key. If we have some
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* clustering columns, we're fine as said above. So the only problem is that we cannot decide for
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* sure if a CF without REGULAR columns nor CLUSTERING_COLUMN definition is meant to be dense, or if it
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* has been created in CQL3 by say:
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* CREATE TABLE test (k int PRIMARY KEY)
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* in which case it should not be dense. However, we can limit our margin of error by assuming we are
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* in the latter case only if the comparator is exactly CompositeType(UTF8Type).
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*/
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stdx::optional<column_id> max_cl_idx;
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const cql3::untyped_result_set::row * regular = nullptr;
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for (auto& row : *columns) {
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auto kind_str = row.get_as<sstring>("type");
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if (kind_str == "compact_value") {
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continue;
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}
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auto kind = db::schema_tables::deserialize_kind(kind_str);
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if (kind == column_kind::regular_column) {
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if (regular != nullptr) {
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return false;
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}
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regular = &row;
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continue;
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}
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if (kind == column_kind::clustering_key) {
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max_cl_idx = std::max(column_id(row.get_or("component_index", 0)), max_cl_idx.value_or(column_id()));
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}
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}
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auto is_cql3_only_pk_comparator = [](const sstring& comparator) {
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if (!cell_comparator::check_compound(comparator)) {
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return false;
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}
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// CMH. We don't have composites, nor a parser for it. This is a simple way of c
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// checking the same.
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auto comma = comparator.find(',');
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if (comma != sstring::npos) {
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return false;
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}
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auto off = comparator.find('(');
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auto end = comparator.find(')');
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return comparator.compare(off, end - off, utf8_type->name()) == 0;
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};
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if (regular) {
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auto name = regular->get_or("column_name", bytes());
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// This is a lame attempt at determining if this was in fact a compact_value column
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if (!max_cl_idx || (!name.empty() && name != to_bytes("value"))
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|| db::schema_tables::parse_type(regular->get_as<sstring>("type")) != default_validator) {
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return false;
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}
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// Ok, we will assume this was in fact a (scylla-created) compact value.
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}
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if (max_cl_idx) {
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auto n = std::count(comparator.begin(), comparator.end(), ','); // num comp - 1
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return *max_cl_idx == n;
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}
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return !is_cql3_only_pk_comparator(comparator);
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}();
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builder.set_is_dense(calulated_is_dense);
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// now, if switched to sparse, remove redundant compact_value column and the last clustering column,
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// directly copying CASSANDRA-11502 logic. See CASSANDRA-11315.
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filter_sparse = !calulated_is_dense && is_dense.value_or(true);
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}
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for (auto& row : *columns) {
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auto kind_str = row.get_as<sstring>("type");
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auto kind = db::schema_tables::deserialize_kind(kind_str);
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auto component_index = kind > column_kind::clustering_key ? 0 : column_id(row.get_or("component_index", 0));
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auto name = row.get_or("column_name", bytes());
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auto validator = db::schema_tables::parse_type(row.get_as<sstring>("validator"));
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if (filter_sparse) {
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if (kind_str == "compact_value") {
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continue;
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}
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if (kind == column_kind::clustering_key) {
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if (cf == cf_type::super && component_index != 0) {
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continue;
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}
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if (cf != cf_type::super && !is_compound) {
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continue;
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}
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}
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}
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stdx::optional<index_metadata_kind> index_kind;
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sstring index_name;
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index_options_map options;
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if (row.has("index_type")) {
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index_kind = schema_tables::deserialize_index_kind(row.get_as<sstring>("index_type"));
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}
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if (row.has("index_name")) {
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index_name = row.get_as<sstring>("index_name");
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}
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if (row.has("index_options")) {
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options = json::to_map(row.get_as<sstring>("index_options"), index_options_map());
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sstring type;
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auto i = options.find("index_keys");
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if (i != options.end()) {
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options.erase(i);
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type = "KEYS";
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}
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i = options.find("index_keys_and_values");
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if (i != options.end()) {
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options.erase(i);
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type = "KEYS_AND_VALUES";
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}
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if (type.empty()) {
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if (validator->is_collection() && validator->is_multi_cell()) {
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type = "FULL";
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} else {
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type = "VALUES";
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}
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}
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auto column = maybe_quote(utf8_type->to_string(name));
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options["target"] = validator->is_collection()
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? type + "(" + column + ")"
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: column;
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}
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if (index_kind) {
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// Origin assumes index_name is always set, so let's do the same
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builder.with_index(index_metadata(index_name, options, *index_kind));
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}
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builder.with_column(std::move(name), std::move(validator), kind, component_index);
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}
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if (td.has("read_repair_chance")) {
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builder.set_read_repair_chance(td.get_as<double>("read_repair_chance"));
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}
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if (td.has("local_read_repair_chance")) {
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builder.set_dc_local_read_repair_chance(td.get_as<double>("local_read_repair_chance"));
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}
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if (td.has("gc_grace_seconds")) {
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builder.set_gc_grace_seconds(td.get_as<int32_t>("gc_grace_seconds"));
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}
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if (td.has("min_compaction_threshold")) {
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builder.set_min_compaction_threshold(td.get_as<int32_t>("min_compaction_threshold"));
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}
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if (td.has("max_compaction_threshold")) {
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builder.set_max_compaction_threshold(td.get_as<int32_t>("max_compaction_threshold"));
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}
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if (td.has("comment")) {
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builder.set_comment(td.get_as<sstring>("comment"));
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}
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if (td.has("memtable_flush_period_in_ms")) {
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builder.set_memtable_flush_period(td.get_as<int32_t>("memtable_flush_period_in_ms"));
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}
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if (td.has("caching")) {
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builder.set_caching_options(caching_options::from_sstring(td.get_as<sstring>("caching")));
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}
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if (td.has("default_time_to_live")) {
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builder.set_default_time_to_live(gc_clock::duration(td.get_as<gc_clock::rep>("default_time_to_live")));
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}
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if (td.has("speculative_retry")) {
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builder.set_speculative_retry(td.get_as<sstring>("speculative_retry"));
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}
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if (td.has("compaction_strategy_class")) {
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auto strategy = td.get_as<sstring>("compaction_strategy_class");
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try {
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builder.set_compaction_strategy(sstables::compaction_strategy::type(strategy));
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} catch (const exceptions::configuration_exception& e) {
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// If compaction strategy class isn't supported, fallback to size tiered.
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logger.warn("Falling back to size-tiered compaction strategy after the problem: {}", e.what());
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builder.set_compaction_strategy(sstables::compaction_strategy_type::size_tiered);
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}
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}
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if (td.has("compaction_strategy_options")) {
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builder.set_compaction_strategy_options(json::to_map(td.get_as<sstring>("compaction_strategy_options")));
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}
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auto comp_param = td.get_as<sstring>("compression_parameters");
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compression_parameters cp(json::to_map(comp_param));
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builder.set_compressor_params(cp);
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if (td.has("min_index_interval")) {
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builder.set_min_index_interval(td.get_as<int32_t>("min_index_interval"));
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} else if (td.has("index_interval")) { // compatibility
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builder.set_min_index_interval(td.get_as<int32_t>("index_interval"));
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}
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if (td.has("max_index_interval")) {
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builder.set_max_index_interval(td.get_as<int32_t>("max_index_interval"));
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}
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if (td.has("bloom_filter_fp_chance")) {
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builder.set_bloom_filter_fp_chance(td.get_as<double>("bloom_filter_fp_chance"));
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} else {
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builder.set_bloom_filter_fp_chance(builder.get_bloom_filter_fp_chance());
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}
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if (td.has("dropped_columns")) {
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auto map = td.get_map<sstring, int64_t>("dropped_columns");
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for (auto&& e : map) {
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builder.without_column(e.first, api::timestamp_type(e.second));
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};
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}
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// ignore version. we're transient
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if (!triggers->empty()) {
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throw unsupported_feature("triggers");
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}
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// TODO: table upgrades as in origin converter.
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dst.tables.emplace_back(table{timestamp, builder.build() });
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});
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}
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future<> read_tables(keyspace& dst) {
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auto query = fmt_query("SELECT columnfamily_name, writeTime(type) AS timestamp FROM %s.%s WHERE keyspace_name = ?",
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db::system_keyspace::legacy::COLUMNFAMILIES);
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return _qp.execute_internal(query, {dst.name}).then([this, &dst](result_set_type result) {
|
||||
return parallel_for_each(*result, [this, &dst](row_type& row) {
|
||||
return read_table(dst, row.get_as<sstring>("columnfamily_name"), row.get_as<time_point>("timestamp"));
|
||||
}).finally([result] {});
|
||||
});
|
||||
}
|
||||
|
||||
future<time_point> read_type_timestamp(keyspace& dst, sstring type_name) {
|
||||
// TODO: Unfortunately there is not a single REGULAR column in system.schema_usertypes, so annoyingly we cannot
|
||||
// use the writeTime() CQL function, and must resort to a lower level.
|
||||
// Origin digs up the actual cells of target partition and gets timestamp from there.
|
||||
// We should do the same, but g-dam thats messy. Lets give back dung value for now.
|
||||
return make_ready_future<time_point>(dst.timestamp);
|
||||
}
|
||||
|
||||
future<> read_types(keyspace& dst) {
|
||||
auto query = fmt_query("SELECT * FROM %s.%s WHERE keyspace_name = ?", db::system_keyspace::legacy::USERTYPES);
|
||||
return _qp.execute_internal(query, {dst.name}).then([this, &dst](result_set_type result) {
|
||||
return parallel_for_each(*result, [this, &dst](row_type& row) {
|
||||
auto name = row.get_blob("type_name");
|
||||
auto columns = row.get_list<bytes>("field_names");
|
||||
auto types = row.get_list<sstring>("field_types");
|
||||
std::vector<data_type> field_types;
|
||||
for (auto&& value : types) {
|
||||
field_types.emplace_back(db::schema_tables::parse_type(value));
|
||||
}
|
||||
auto ut = user_type_impl::get_instance(dst.name, name, columns, field_types);
|
||||
return read_type_timestamp(dst, value_cast<sstring>(utf8_type->deserialize(name))).then([ut = std::move(ut), &dst](time_point timestamp) {
|
||||
dst.types.emplace_back(type{timestamp, ut});
|
||||
});
|
||||
}).finally([result] {});
|
||||
});
|
||||
}
|
||||
|
||||
future<> read_functions(keyspace& dst) {
|
||||
auto query = fmt_query("SELECT * FROM %s.%s WHERE keyspace_name = ?", db::system_keyspace::legacy::FUNCTIONS);
|
||||
return _qp.execute_internal(query, {dst.name}).then([this, &dst](result_set_type result) {
|
||||
if (!result->empty()) {
|
||||
throw unsupported_feature("functions");
|
||||
}
|
||||
});
|
||||
}
|
||||
|
||||
future<> read_aggregates(keyspace& dst) {
|
||||
auto query = fmt_query("SELECT * FROM %s.%s WHERE keyspace_name = ?", db::system_keyspace::legacy::AGGREGATES);
|
||||
return _qp.execute_internal(query, {dst.name}).then([this, &dst](result_set_type result) {
|
||||
if (!result->empty()) {
|
||||
throw unsupported_feature("aggregates");
|
||||
}
|
||||
});
|
||||
}
|
||||
|
||||
future<keyspace> read_keyspace(sstring ks_name, bool durable_writes, sstring strategy_class, sstring strategy_options, time_point timestamp) {
|
||||
auto map = json::to_map(strategy_options);
|
||||
map.emplace("class", std::move(strategy_class));
|
||||
auto ks = ::make_lw_shared<keyspace>(keyspace{timestamp, std::move(ks_name), durable_writes, std::move(map) });
|
||||
|
||||
return read_tables(*ks).then([this, ks] {
|
||||
//Collection<Type> types = readTypes(keyspaceName);
|
||||
return read_types(*ks);
|
||||
}).then([this, ks] {
|
||||
return read_functions(*ks);
|
||||
}).then([this, ks] {
|
||||
return read_aggregates(*ks);
|
||||
}).then([this, ks] {
|
||||
return make_ready_future<keyspace>(std::move(*ks));
|
||||
});
|
||||
}
|
||||
|
||||
future<> read_all_keyspaces() {
|
||||
static auto ks_filter = [](row_type& row) {
|
||||
auto ks_name = row.get_as<sstring>("keyspace_name");
|
||||
return ks_name != db::system_keyspace::NAME && ks_name != db::schema_tables::v3::NAME;
|
||||
};
|
||||
|
||||
auto query = fmt_query("SELECT keyspace_name, durable_writes, strategy_options, strategy_class, writeTime(durable_writes) AS timestamp FROM %s.%s",
|
||||
db::system_keyspace::legacy::KEYSPACES);
|
||||
|
||||
return _qp.execute_internal(query).then([this](result_set_type result) {
|
||||
auto i = boost::make_filter_iterator(ks_filter, result->begin(), result->end());
|
||||
auto e = boost::make_filter_iterator(ks_filter, result->end(), result->end());
|
||||
return parallel_for_each(i, e, [this](row_type& row) {
|
||||
return read_keyspace(row.get_as<sstring>("keyspace_name")
|
||||
, row.get_as<bool>("durable_writes")
|
||||
, row.get_as<sstring>("strategy_class")
|
||||
, row.get_as<sstring>("strategy_options")
|
||||
, row.get_as<db_clock::time_point>("timestamp")
|
||||
).then([this](keyspace ks) {
|
||||
_keyspaces.emplace_back(std::move(ks));
|
||||
});
|
||||
}).finally([result] {});
|
||||
});
|
||||
}
|
||||
|
||||
future<> unload_legacy_tables() {
|
||||
return make_ready_future();
|
||||
}
|
||||
|
||||
future<> truncate_legacy_tables() {
|
||||
logger.info("Truncating legacy schema tables");
|
||||
return make_ready_future();
|
||||
}
|
||||
|
||||
future<> store_keyspaces_in_new_schema_tables() {
|
||||
logger.info("Moving {} keyspaces from legacy schema tables to the new schema keyspace ({})",
|
||||
_keyspaces.size(), db::schema_tables::v3::NAME);
|
||||
|
||||
std::vector<mutation> mutations;
|
||||
|
||||
for (auto& ks : _keyspaces) {
|
||||
auto ksm = ::make_lw_shared<keyspace_metadata>(ks.name
|
||||
, ks.replication_params["class"] // TODO, make ksm like c3?
|
||||
, ks.replication_params
|
||||
, ks.durable_writes);
|
||||
|
||||
// we want separate time stamps for tables/types, so cannot bulk them into the ksm.
|
||||
for (auto&& m : db::schema_tables::make_create_keyspace_mutations(ksm, ks.timestamp.time_since_epoch().count(), false)) {
|
||||
mutations.emplace_back(std::move(m));
|
||||
}
|
||||
for (auto& t : ks.tables) {
|
||||
db::schema_tables::add_table_or_view_to_schema_mutation(t.metadata, t.timestamp.time_since_epoch().count(), true, mutations);
|
||||
}
|
||||
for (auto& t : ks.types) {
|
||||
db::schema_tables::add_type_to_schema_mutation(t.metadata, t.timestamp.time_since_epoch().count(), mutations);
|
||||
}
|
||||
}
|
||||
return _qp.proxy().local().mutate_locally(std::move(mutations));
|
||||
}
|
||||
|
||||
future<> migrate_indexes() {
|
||||
return parallel_for_each(_keyspaces, [](const keyspace& ks) {
|
||||
return parallel_for_each(ks.tables, [&](const table& t) {
|
||||
return parallel_for_each(t.metadata->indices(), [&](const index_metadata& index) {
|
||||
return system_keyspace::is_index_built(ks.name, t.metadata->cf_name() + "." + index.name()).then([&](bool built) {
|
||||
if (!built) {
|
||||
return make_ready_future();
|
||||
}
|
||||
return system_keyspace::set_index_built(ks.name, index.name()).then([&] {
|
||||
return system_keyspace::set_index_removed(ks.name, t.metadata->cf_name() + "." + index.name());
|
||||
});
|
||||
});
|
||||
});
|
||||
});
|
||||
});
|
||||
}
|
||||
future<> flush_schemas() {
|
||||
return _qp.proxy().local().get_db().invoke_on_all([this] (database& db) {
|
||||
return parallel_for_each(db::schema_tables::ALL, [this, &db](const sstring& cf_name) {
|
||||
auto& cf = db.find_column_family(db::schema_tables::NAME, cf_name);
|
||||
return cf.flush();
|
||||
});
|
||||
});
|
||||
}
|
||||
|
||||
future<> migrate() {
|
||||
return read_all_keyspaces().then([this]() {
|
||||
if (_keyspaces.empty()) {
|
||||
return unload_legacy_tables();
|
||||
}
|
||||
// write metadata to the new schema tables
|
||||
return store_keyspaces_in_new_schema_tables().then(std::bind(&migrator::migrate_indexes, this))
|
||||
.then(std::bind(&migrator::flush_schemas, this))
|
||||
.then(std::bind(&migrator::truncate_legacy_tables, this))
|
||||
.then(std::bind(&migrator::unload_legacy_tables, this))
|
||||
.then([] { logger.info("Completed migration of legacy schema tables"); });
|
||||
});
|
||||
}
|
||||
|
||||
cql3::query_processor& _qp;
|
||||
std::vector<keyspace> _keyspaces;
|
||||
};
|
||||
|
||||
}
|
||||
}
|
||||
|
||||
future<>
|
||||
db::legacy_schema_migrator::migrate(cql3::query_processor& qp) {
|
||||
return do_with(migrator(qp), std::bind(&migrator::migrate, std::placeholders::_1));
|
||||
}
|
||||
|
||||
57
db/legacy_schema_migrator.hh
Normal file
57
db/legacy_schema_migrator.hh
Normal file
@@ -0,0 +1,57 @@
|
||||
/*
|
||||
* Licensed to the Apache Software Foundation (ASF) under one
|
||||
* or more contributor license agreements. See the NOTICE file
|
||||
* distributed with this work for additional information
|
||||
* regarding copyright ownership. The ASF licenses this file
|
||||
* to you under the Apache License, Version 2.0 (the
|
||||
* "License"); you may not use this file except in compliance
|
||||
* with the License. You may obtain a copy of the License at
|
||||
*
|
||||
* http://www.apache.org/licenses/LICENSE-2.0
|
||||
*
|
||||
* Unless required by applicable law or agreed to in writing, software
|
||||
* distributed under the License is distributed on an "AS IS" BASIS,
|
||||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
* See the License for the specific language governing permissions and
|
||||
* limitations under the License.
|
||||
*/
|
||||
|
||||
/*
|
||||
* Modified by ScyllaDB
|
||||
* Copyright (C) 2017 ScyllaDB
|
||||
*/
|
||||
|
||||
/*
|
||||
* This file is part of Scylla.
|
||||
*
|
||||
* Scylla is free software: you can redistribute it and/or modify
|
||||
* it under the terms of the GNU Affero General Public License as published by
|
||||
* the Free Software Foundation, either version 3 of the License, or
|
||||
* (at your option) any later version.
|
||||
*
|
||||
* Scylla is distributed in the hope that it will be useful,
|
||||
* but WITHOUT ANY WARRANTY; without even the implied warranty of
|
||||
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
||||
* GNU General Public License for more details.
|
||||
*
|
||||
* You should have received a copy of the GNU General Public License
|
||||
* along with Scylla. If not, see <http://www.gnu.org/licenses/>.
|
||||
*/
|
||||
|
||||
#pragma once
|
||||
|
||||
#include <seastar/core/future.hh>
|
||||
|
||||
class database;
|
||||
|
||||
namespace cql3 {
|
||||
class query_processor;
|
||||
}
|
||||
|
||||
namespace db {
|
||||
namespace legacy_schema_migrator {
|
||||
|
||||
future<> migrate(cql3::query_processor&);
|
||||
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user