/* * Copyright (C) 2016 ScyllaDB * * Modified by 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 . */ #include #include #include #include #include "clustering_bounds_comparator.hh" #include "database.hh" #include "db/system_keyspace.hh" #include "dht/i_partitioner.hh" #include "mutation_reader.hh" #include "partition_range_compat.hh" #include "range.hh" #include "service/storage_service.hh" #include "stdx.hh" #include "streamed_mutation.hh" namespace db { namespace size_estimates { class size_estimates_mutation_reader final : public mutation_reader::impl { struct token_range { bytes start; bytes end; }; schema_ptr _schema; const dht::partition_range& _prange; const query::partition_slice& _slice; using ks_range = std::vector; stdx::optional _keyspaces; ks_range::const_iterator _current_partition; streamed_mutation::forwarding _fwd; public: size_estimates_mutation_reader(schema_ptr schema, const dht::partition_range& prange, const query::partition_slice& slice, streamed_mutation::forwarding fwd) : _schema(schema) , _prange(prange) , _slice(slice) , _fwd(fwd) { } virtual future operator()() override { // For each specified range, estimate (crudely) mean partition size and partitions count. auto& db = service::get_local_storage_proxy().get_db().local(); if (!_keyspaces) { _keyspaces = get_keyspaces(*_schema, db, _prange); _current_partition = _keyspaces->begin(); } if (_current_partition == _keyspaces->end()) { return make_ready_future(); } return get_local_ranges().then([&db, this] (auto&& ranges) { auto estimates = this->estimates_for_current_keyspace(db, std::move(ranges)); auto mutations = db::system_keyspace::make_size_estimates_mutation(*_current_partition, std::move(estimates)); ++_current_partition; return streamed_mutation_opt(streamed_mutation_from_mutation(std::move(mutations), _fwd)); }); } /** * Returns the primary ranges for the local node. * Used for testing as well. */ static future> get_local_ranges() { auto& ss = service::get_local_storage_service(); return ss.get_local_tokens().then([&ss] (auto&& tokens) { auto ranges = ss.get_token_metadata().get_primary_ranges_for(std::move(tokens)); std::vector local_ranges; auto to_bytes = [](const stdx::optional& b) { assert(b); return utf8_type->decompose(dht::global_partitioner().to_sstring(b->value())); }; // We merge the ranges to be compatible with how Cassandra shows it's size estimates table. // All queries will be on that table, where all entries are text and there's no notion of // token ranges form the CQL point of view. auto left_inf = boost::find_if(ranges, [] (auto&& r) { return !r.start() || r.start()->value() == dht::minimum_token(); }); auto right_inf = boost::find_if(ranges, [] (auto&& r) { return !r.end() || r.start()->value() == dht::maximum_token(); }); if (left_inf != right_inf && left_inf != ranges.end() && right_inf != ranges.end()) { local_ranges.push_back(token_range{to_bytes(right_inf->start()), to_bytes(left_inf->end())}); ranges.erase(left_inf); ranges.erase(right_inf); } for (auto&& r : ranges) { local_ranges.push_back(token_range{to_bytes(r.start()), to_bytes(r.end())}); } boost::sort(local_ranges, [] (auto&& tr1, auto&& tr2) { return utf8_type->less(tr1.start, tr2.start); }); return local_ranges; }); } private: struct virtual_row { const bytes& cf_name; const token_range& tokens; clustering_key_prefix as_key() const { return clustering_key_prefix::from_exploded(std::vector{cf_name, tokens.start, tokens.end}); } }; struct virtual_row_comparator { schema_ptr _schema; virtual_row_comparator(schema_ptr schema) : _schema(schema) { } bool operator()(const clustering_key_prefix& key1, const clustering_key_prefix& key2) { return clustering_key_prefix::prefix_equality_less_compare(*_schema)(key1, key2); } bool operator()(const virtual_row& row, const clustering_key_prefix& key) { return operator()(row.as_key(), key); } bool operator()(const clustering_key_prefix& key, const virtual_row& row) { return operator()(key, row.as_key()); } }; class virtual_row_iterator : public std::iterator { std::reference_wrapper> _cf_names; std::reference_wrapper> _ranges; size_t _cf_names_idx = 0; size_t _ranges_idx = 0; public: struct end_iterator_tag {}; virtual_row_iterator(const std::vector& cf_names, const std::vector& ranges) : _cf_names(ref(cf_names)) , _ranges(ref(ranges)) { } virtual_row_iterator(const std::vector& cf_names, const std::vector& ranges, end_iterator_tag) : _cf_names(ref(cf_names)) , _ranges(ref(ranges)) , _cf_names_idx(cf_names.size()) , _ranges_idx(ranges.size()) { } virtual_row_iterator& operator++() { if (++_ranges_idx == _ranges.get().size() && ++_cf_names_idx < _cf_names.get().size()) { _ranges_idx = 0; } return *this; } virtual_row_iterator operator++(int) { virtual_row_iterator i(*this); ++(*this); return i; } const value_type operator*() const { return { _cf_names.get()[_cf_names_idx], _ranges.get()[_ranges_idx] }; } bool operator==(const virtual_row_iterator& i) const { return _cf_names_idx == i._cf_names_idx && _ranges_idx == i._ranges_idx; } bool operator!=(const virtual_row_iterator& i) const { return !(*this == i); } }; std::vector estimates_for_current_keyspace(const database& db, std::vector local_ranges) const { auto pkey = partition_key::from_single_value(*_schema, utf8_type->decompose(*_current_partition)); auto cfs = db.find_keyspace(*_current_partition).metadata()->cf_meta_data(); auto cf_names = boost::copy_range>(cfs | boost::adaptors::transformed([] (auto&& cf) { return utf8_type->decompose(cf.first); })); boost::sort(cf_names, [] (auto&& n1, auto&& n2) { return utf8_type->less(n1, n2); }); std::vector estimates; for (auto& range : _slice.row_ranges(*_schema, pkey)) { auto rows = boost::make_iterator_range( virtual_row_iterator(cf_names, local_ranges), virtual_row_iterator(cf_names, local_ranges, virtual_row_iterator::end_iterator_tag())); auto rows_to_estimate = range.slice(rows, virtual_row_comparator(_schema)); for (auto&& r : rows_to_estimate) { auto& cf = db.find_column_family(*_current_partition, utf8_type->to_string(r.cf_name)); estimates.push_back(estimate(cf, r.tokens)); if (estimates.size() >= _slice.partition_row_limit()) { return estimates; } } } return estimates; } /** * Returns the keyspaces, ordered by name, as selected by the partition_range. */ static ks_range get_keyspaces(const schema& s, const database& db, dht::partition_range range) { struct keyspace_less_comparator { const schema& _s; keyspace_less_comparator(const schema& s) : _s(s) { } dht::ring_position as_ring_position(const sstring& ks) { auto pkey = partition_key::from_single_value(_s, utf8_type->decompose(ks)); return dht::global_partitioner().decorate_key(_s, std::move(pkey)); } bool operator()(const sstring& ks1, const sstring& ks2) { return as_ring_position(ks1).less_compare(_s, as_ring_position(ks2)); } bool operator()(const sstring& ks, const dht::ring_position& rp) { return as_ring_position(ks).less_compare(_s, rp); } bool operator()(const dht::ring_position& rp, const sstring& ks) { return rp.less_compare(_s, as_ring_position(ks)); } }; auto keyspaces = db.get_non_system_keyspaces(); auto cmp = keyspace_less_comparator(s); boost::sort(keyspaces, cmp); return boost::copy_range(range.slice(keyspaces, std::move(cmp))); } /** * Makes a wrapping range of ring_position from a nonwrapping range of token, used to select sstables. */ static dht::partition_range as_ring_position_range(dht::token_range& r) { stdx::optional::bound> start_bound, end_bound; if (r.start()) { start_bound = {{ dht::ring_position(r.start()->value(), dht::ring_position::token_bound::start), r.start()->is_inclusive() }}; } if (r.end()) { end_bound = {{ dht::ring_position(r.end()->value(), dht::ring_position::token_bound::end), r.end()->is_inclusive() }}; } return dht::partition_range(std::move(start_bound), std::move(end_bound), r.is_singular()); } /** * Add a new range_estimates for the specified range, considering the sstables associated with `cf`. */ static system_keyspace::range_estimates estimate(const column_family& cf, const token_range& r) { int64_t count{0}; utils::estimated_histogram hist{0}; auto from_bytes = [] (auto& b) { return dht::global_partitioner().from_sstring(utf8_type->to_string(b)); }; dht::token_range_vector ranges; compat::unwrap_into( wrapping_range({{ from_bytes(r.start) }}, {{ from_bytes(r.end) }}), dht::token_comparator(), [&] (auto&& rng) { ranges.push_back(std::move(rng)); }); for (auto&& r : ranges) { auto rp_range = as_ring_position_range(r); for (auto&& sstable : cf.select_sstables(rp_range)) { count += sstable->estimated_keys_for_range(r); hist.merge(sstable->get_stats_metadata().estimated_row_size); } } return {cf.schema(), r.start, r.end, count, count > 0 ? hist.mean() : 0}; } }; struct virtual_reader { mutation_reader operator()(schema_ptr schema, const dht::partition_range& range, const query::partition_slice& slice, const io_priority_class& pc, tracing::trace_state_ptr trace_state, streamed_mutation::forwarding fwd) { return make_mutation_reader(schema, range, slice, fwd); } }; } // namespace size_estimates } // namespace db