Files
scylladb/mutation_query.cc
Tomasz Grabiec 4e5a52d6fa db: Make read interface schema version aware
The intent is to make data returned by queries always conform to a
single schema version, which is requested by the client. For CQL
queries, for example, we want to use the same schema which was used to
compile the query. The other node expects to receive data conforming
to the requested schema.

Interface on shard level accepts schema_ptr, across nodes we use
table_schema_version UUID. To transfer schema_ptr across shards, we
use global_schema_ptr.

Because schema is identified with UUID across nodes, requestors must
be prepared for being queried for the definition of the schema. They
must hold a live schema_ptr around the request. This guarantees that
schema_registry will always know about the requested version. This is
not an issue because for queries the requestor needs to hold on to the
schema anyway to be able to interpret the results. But care must be
taken to always use the same schema version for making the request and
parsing the results.

Schema requesting across nodes is currently stubbed (throws runtime
exception).
2016-01-11 10:34:52 +01:00

192 lines
6.6 KiB
C++

/*
* Copyright (C) 2015 Cloudius Systems, Ltd.
*/
/*
* 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/>.
*/
#include "mutation_query.hh"
#include "gc_clock.hh"
#include "db/serializer.hh"
#include "mutation_partition_serializer.hh"
template class db::serializer<reconcilable_result>;
reconcilable_result::~reconcilable_result() {}
reconcilable_result::reconcilable_result()
: _row_count(0)
{ }
reconcilable_result::reconcilable_result(uint32_t row_count, std::vector<partition> p)
: _row_count(row_count)
, _partitions(std::move(p))
{ }
const std::vector<partition>& reconcilable_result::partitions() const {
return _partitions;
}
std::vector<partition>& reconcilable_result::partitions() {
return _partitions;
}
bool
reconcilable_result::operator==(const reconcilable_result& other) const {
return boost::equal(_partitions, other._partitions);
}
bool reconcilable_result::operator!=(const reconcilable_result& other) const {
return !(*this == other);
}
query::result
to_data_query_result(const reconcilable_result& r, schema_ptr s, const query::partition_slice& slice) {
auto builder = query::result::builder(slice);
for (const partition& p : r.partitions()) {
auto pb = builder.add_partition(*s, p._m.key(*s));
p.mut().unfreeze(s).partition().query(pb, *s, gc_clock::time_point::min(), query::max_rows);
}
return builder.build();
}
static
size_t serialized_size(const reconcilable_result& v) {
size_t s = 0;
s += sizeof(uint32_t); /* row_count */
s += sizeof(uint32_t); /* partition count */
for (const partition& p : v.partitions()) {
s += sizeof(uint32_t) /* row_count */;
s += db::frozen_mutation_serializer(p.mut()).size();
}
return s;
}
template<>
db::serializer<reconcilable_result>::serializer(const reconcilable_result& v)
: _item(v)
, _size(serialized_size(v))
{ }
template<>
void
db::serializer<reconcilable_result>::write(output& out, const reconcilable_result& v) {
out.write<uint32_t>(v.row_count());
out.write<uint32_t>(v.partitions().size());
for (const partition& p : v.partitions()) {
out.write<uint32_t>(p.row_count());
db::frozen_mutation_serializer(p.mut()).write(out);
}
}
template<>
void db::serializer<reconcilable_result>::read(reconcilable_result& v, input& in) {
auto row_count = in.read<uint32_t>();
auto partition_count = in.read<uint32_t>();
std::vector<partition> partitions;
partitions.reserve(partition_count);
while (partition_count--) {
auto p_row_count = in.read<uint32_t>();
auto fm = db::frozen_mutation_serializer::read(in);
partitions.emplace_back(partition(p_row_count, std::move(fm)));
}
v = reconcilable_result(row_count, std::move(partitions));
}
future<reconcilable_result>
mutation_query(schema_ptr s,
const mutation_source& source,
const query::partition_range& range,
const query::partition_slice& slice,
uint32_t row_limit,
gc_clock::time_point query_time)
{
struct query_state {
const query::partition_range& range;
const query::partition_slice& slice;
uint32_t requested_limit;
gc_clock::time_point query_time;
uint32_t limit;
mutation_reader reader;
std::vector<partition> result;
query_state(
const query::partition_range& range,
const query::partition_slice& slice,
uint32_t requested_limit,
gc_clock::time_point query_time
)
: range(range)
, slice(slice)
, requested_limit(requested_limit)
, query_time(query_time)
, limit(requested_limit)
{ }
};
if (row_limit == 0) {
return make_ready_future<reconcilable_result>(reconcilable_result());
}
return do_with(query_state(range, slice, row_limit, query_time),
[&source, s = std::move(s)] (query_state& state) -> future<reconcilable_result> {
state.reader = source(std::move(s), state.range);
return consume(state.reader, [&state] (mutation&& m) {
// FIXME: Make data sources respect row_ranges so that we don't have to filter them out here.
auto is_distinct = state.slice.options.contains(query::partition_slice::option::distinct);
auto is_reversed = state.slice.options.contains(query::partition_slice::option::reversed);
auto limit = !is_distinct ? state.limit : 1;
auto rows_left = m.partition().compact_for_query(*m.schema(), state.query_time, state.slice.row_ranges(*m.schema(), m.key()),
is_reversed, limit);
state.limit -= rows_left;
// NOTE: We must return all columns, regardless of what's in
// partition_slice, for the results to be reconcilable with tombstones.
// That's because row's presence depends on existence of any
// column in a row (See mutation_partition::query). We could
// optimize this case and only send cell timestamps, without data,
// for the cells which are not queried for (TODO).
state.result.emplace_back(partition{rows_left, freeze(m)});
return state.limit ? stop_iteration::no : stop_iteration::yes;
}).then([&state] {
return make_ready_future<reconcilable_result>(
reconcilable_result(state.requested_limit - state.limit, std::move(state.result)));
});
});
}
std::ostream& operator<<(std::ostream& out, const reconcilable_result::printer& pr) {
out << "{rows=" << pr.self.row_count() << ", [";
bool first = true;
for (const partition& p : pr.self.partitions()) {
if (!first) {
out << ", ";
}
first = false;
out << "{rows=" << p.row_count() << ", ";
out << p._m.pretty_printer(pr.schema);
out << "}";
}
out << "]}";
return out;
}
reconcilable_result::printer reconcilable_result::pretty_printer(schema_ptr s) const {
return { *this, std::move(s) };
}