Refs #752 Paged aggregate queries will re-use the partition_slice object, thus when setting a specific ck range for "last pk", we will hit an exception case. Allow removing entries (actually only the one), and overwriting (using schema equality for keys), so we maintain the interface while allowing the pager code to re-set the ck range for previous page pass. [tgrabiec: commit log cleanup, fixed issue ref] Message-Id: <1452616259-23751-1-git-send-email-calle@scylladb.com>
150 lines
4.9 KiB
C++
150 lines
4.9 KiB
C++
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/*
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* Copyright 2015 Cloudius Systems
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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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#pragma once
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#include <experimental/optional>
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#include "keys.hh"
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#include "dht/i_partitioner.hh"
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#include "enum_set.hh"
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#include "range.hh"
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namespace query {
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template <typename T>
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using range = ::range<T>;
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using ring_position = dht::ring_position;
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using partition_range = range<ring_position>;
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using clustering_range = range<clustering_key_prefix>;
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extern const partition_range full_partition_range;
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// FIXME: Move this to i_partitioner.hh after query::range<> is moved to utils/range.hh
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query::partition_range to_partition_range(query::range<dht::token>);
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inline
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bool is_wrap_around(const query::partition_range& range, const schema& s) {
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return range.is_wrap_around(dht::ring_position_comparator(s));
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}
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inline
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bool is_single_partition(const query::partition_range& range) {
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return range.is_singular() && range.start()->value().has_key();
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}
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typedef std::vector<clustering_range> clustering_row_ranges;
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// Specifies subset of rows, columns and cell attributes to be returned in a query.
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// Can be accessed across cores.
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// Schema-dependent.
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class partition_slice {
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public:
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enum class option { send_clustering_key, send_partition_key, send_timestamp_and_expiry, reversed, distinct };
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using option_set = enum_set<super_enum<option,
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option::send_clustering_key,
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option::send_partition_key,
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option::send_timestamp_and_expiry,
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option::reversed,
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option::distinct>>;
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clustering_row_ranges _row_ranges;
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public:
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std::vector<column_id> static_columns; // TODO: consider using bitmap
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std::vector<column_id> regular_columns; // TODO: consider using bitmap
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option_set options;
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private:
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class specific_ranges;
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std::unique_ptr<specific_ranges> _specific_ranges;
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public:
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partition_slice(clustering_row_ranges row_ranges, std::vector<column_id> static_columns,
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std::vector<column_id> regular_columns, option_set options);
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partition_slice(const partition_slice&);
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partition_slice(partition_slice&&);
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~partition_slice();
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const clustering_row_ranges& row_ranges(const schema&, const partition_key&) const;
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void set_range(const schema&, const partition_key&, clustering_row_ranges);
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void clear_range(const schema&, const partition_key&);
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const clustering_row_ranges& default_row_ranges() const {
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return _row_ranges;
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}
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size_t serialized_size() const;
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void serialize(bytes::iterator& out) const;
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static partition_slice deserialize(bytes_view& v);
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friend std::ostream& operator<<(std::ostream& out, const partition_slice& ps);
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friend std::ostream& operator<<(std::ostream& out, const partition_slice::specific_ranges& ps);
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};
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constexpr auto max_rows = std::numeric_limits<uint32_t>::max();
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// Full specification of a query to the database.
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// Intended for passing across replicas.
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// Can be accessed across cores.
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class read_command {
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public:
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utils::UUID cf_id;
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table_schema_version schema_version; // TODO: This should be enough, drop cf_id
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partition_slice slice;
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uint32_t row_limit;
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gc_clock::time_point timestamp;
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public:
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read_command(const utils::UUID& cf_id,
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const table_schema_version& schema_version,
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partition_slice slice,
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uint32_t row_limit = max_rows,
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gc_clock::time_point now = gc_clock::now())
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: cf_id(cf_id)
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, schema_version(schema_version)
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, slice(std::move(slice))
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, row_limit(row_limit)
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, timestamp(now)
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{ }
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size_t serialized_size() const;
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void serialize(bytes::iterator& out) const;
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static read_command deserialize(bytes_view& v);
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friend std::ostream& operator<<(std::ostream& out, const read_command& r);
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};
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}
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// Allow using query::range<T> in a hash table. The hash function 31 * left +
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// right is the same one used by Cassandra's AbstractBounds.hashCode().
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namespace std {
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template<typename T>
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struct hash<query::range<T>> {
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using argument_type = query::range<T>;
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using result_type = decltype(std::hash<T>()(std::declval<T>()));
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result_type operator()(argument_type const& s) const {
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auto hash = std::hash<T>();
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auto left = s.start() ? hash(s.start()->value()) : 0;
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auto right = s.end() ? hash(s.end()->value()) : 0;
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return 31 * left + right;
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}
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};
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}
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