0737d9e84d
Scylla has advantage and amazing features. If Redis build on the top of Scylla, it has the above features automatically. It's achived great progress in cluster master managment, data persistence, failover and replication. The benefits to the users are easy to use and develop in their production environment, and taking avantages of Scylla. Using the Ragel to parse the Redis request, server abtains the command name and the parameters from the request, invokes the Scylla's internal API to read and write the data, then replies to client. Signed-off-by: Peng Jian, <pengjian.uestc@gmail.com>
92 lines
3.8 KiB
C++
92 lines
3.8 KiB
C++
/*
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* Copyright (C) 2019 pengjian.uestc @ gmail.com
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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 "redis/query_utils.hh"
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#include "redis/options.hh"
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#include "timeout_config.hh"
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#include "service/client_state.hh"
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#include "service/storage_proxy.hh"
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#include "dht/i_partitioner.hh"
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#include "partition_slice_builder.hh"
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#include "query-result-reader.hh"
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#include "gc_clock.hh"
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#include "service_permit.hh"
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#include "redis/keyspace_utils.hh"
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namespace redis {
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class strings_result_builder {
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lw_shared_ptr<strings_result> _data;
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const query::partition_slice& _partition_slice;
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const schema_ptr _schema;
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private:
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void add_cell(const column_definition& col, const std::optional<query::result_atomic_cell_view>& cell)
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{
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if (cell) {
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cell->value().with_linearized([this, &col] (bytes_view cell_view) {
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auto&& dv = col.type->deserialize_value(cell_view);
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auto&& d = dv.serialize();
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_data->_result = std::move(d);
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_data->_has_result = true;
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});
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}
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}
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public:
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strings_result_builder(lw_shared_ptr<strings_result> data, const schema_ptr schema, const query::partition_slice& ps)
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: _data(data)
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, _partition_slice(ps)
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, _schema(schema)
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{
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}
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void accept_new_partition(const partition_key& key, uint32_t row_count) {}
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void accept_new_partition(uint32_t row_count) {}
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void accept_new_row(const clustering_key& key, const query::result_row_view& static_row, const query::result_row_view& row)
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{
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auto row_iterator = row.iterator();
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for (auto&& id : _partition_slice.regular_columns) {
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add_cell(_schema->regular_column_at(id), row_iterator.next_atomic_cell());
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}
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}
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void accept_new_row(const query::result_row_view& static_row, const query::result_row_view& row) {}
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void accept_partition_end(const query::result_row_view& static_row) {}
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};
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future<lw_shared_ptr<strings_result>> read_strings(service::storage_proxy& proxy, const redis_options& options, const bytes& key, service_permit permit) {
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auto schema = get_schema(proxy, options.get_keyspace_name(), redis::STRINGs);
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auto ps = partition_slice_builder(*schema).build();
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query::read_command cmd(schema->id(), schema->version(), ps, 1, gc_clock::now(), std::nullopt, 1);
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auto pkey = partition_key::from_single_value(*schema, key);
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auto partition_range = dht::partition_range::make_singular(dht::global_partitioner().decorate_key(*schema, std::move(pkey)));
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dht::partition_range_vector partition_ranges;
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partition_ranges.emplace_back(std::move(partition_range));
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auto read_consistency_level = options.get_read_consistency_level();
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db::timeout_clock::time_point timeout = db::timeout_clock::now() + options.get_read_timeout();
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return proxy.query(schema, make_lw_shared(std::move(cmd)), std::move(partition_ranges), read_consistency_level, {timeout, permit, service::client_state::for_internal_calls()}).then([ps, schema] (auto qr) {
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return query::result_view::do_with(*qr.query_result, [&] (query::result_view v) {
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auto pd = make_lw_shared<strings_result>();
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v.consume(ps, strings_result_builder(pd, schema, ps));
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return pd;
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});
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});
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}
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}
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