storage_proxy.hh is huge and includes many headers itself, so
remove its inclusions from headers and re-add smaller headers
where needed (and storage_proxy.hh itself in source files that
need it).
Ref #1.
The cql_server and redis_server share the same ancestor of do_accepts().
Let's pull up the cql_server version of do_accept() (that has more
functionality) to generic_server::server and use it in the redis_server
too.
Pull up the cql_server process() to base class and convert redis_server
to use it.
Please note that this fixes EPIPE and connection reset issue in the
Redis server, which was fixed in the CQL server in commit 1a8630e6a
("transport: silence "broken pipe" and "connection reset by peer"
errors").
The cql_server and redis_server both have the same "_stopped" and
"_connections_list" member variables. Pull them up to the
generic_server::server base class.
The cql_server and redis_server classes have a maybe_idle() method,
which sets the _all_connections_stopped promise if server wants to stop
and can be stopped. Pull up the duplicated code to
generic_server::server class.
Both cql_server::connection and redis_server::connection inherit
boost::intrusive::list_base_hook<>, so let's pull up that to the
generic_server::connection class that both inherit.
This patch moves the duplicated connection::shutdown() method to to a
new generic_server::connection base class that is now inherited by
cql_server and redis_server.
This removes the need to include reactor.hh, a source of compile
time bloat.
In some places, the call is qualified with seastar:: in order
to resolve ambiguities with a local name.
Includes are adjusted to make everything compile. We end up
having 14 translation units including reactor.hh, primarily for
deprecated things like reactor::at_exit().
Ref #1
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>
