bredis alternatives and similar libraries
Based on the "Networking" category.
Alternatively, view bredis alternatives based on common mentions on social networks and blogs.
-
libcurl
A command line tool and library for transferring data with URL syntax, supporting DICT, FILE, FTP, FTPS, GOPHER, GOPHERS, HTTP, HTTPS, IMAP, IMAPS, LDAP, LDAPS, MQTT, POP3, POP3S, RTMP, RTMPS, RTSP, SCP, SFTP, SMB, SMBS, SMTP, SMTPS, TELNET, TFTP, WS and WSS. libcurl offers a myriad of powerful features -
POCO
The POCO C++ Libraries are powerful cross-platform C++ libraries for building network- and internet-based applications that run on desktop, server, mobile, IoT, and embedded systems. -
C++ REST SDK
The C++ REST SDK is a Microsoft project for cloud-based client-server communication in native code using a modern asynchronous C++ API design. This project aims to help C++ developers connect to and interact with services. -
RakNet
DISCONTINUED. RakNet is a cross platform, open source, C++ networking engine for game programmers. -
evpp
A modern C++ network library for developing high performance network services in TCP/UDP/HTTP protocols. -
Simple-Web-Server
DISCONTINUED. A very simple, fast, multithreaded, platform independent HTTP and HTTPS server and client library implemented using C++11 and Boost.Asio. Created to be an easy way to make REST resources available from C++ applications. -
wdt
DISCONTINUED. Warp speed Data Transfer (WDT) is an embeddedable library (and command line tool) aiming to transfer data between 2 systems as fast as possible over multiple TCP paths. -
PcapPlusPlus
PcapPlusPlus is a multiplatform C++ library for capturing, parsing and crafting of network packets. It is designed to be efficient, powerful and easy to use. It provides C++ wrappers for the most popular packet processing engines such as libpcap, Npcap, WinPcap, DPDK, AF_XDP and PF_RING. -
cpp-netlib
The C++ Network Library Project -- cross-platform, standards compliant networking library. -
Restbed
Corvusoft's Restbed framework brings asynchronous RESTful functionality to C++14 applications. -
Silicon
A high performance, middleware oriented C++14 http web framework please use matt-42/lithium instead -
Simple-WebSocket-Server
DISCONTINUED. A very simple, fast, multithreaded, platform independent WebSocket (WS) and WebSocket Secure (WSS) server and client library implemented using C++11, Boost.Asio and OpenSSL. Created to be an easy way to make WebSocket endpoints in C++. -
RESTinio
Cross-platform, efficient, customizable, and robust asynchronous HTTP(S)/WebSocket server C++ library with the right balance between performance and ease of use -
nope.c
WAFer is a C language-based software platform for scalable server-side and networking applications. Think node.js for C programmers. -
IXWebSocket
websocket and http client and server library, with TLS support and very few dependencies -
mailio
mailio is a cross platform C++ library for MIME format and SMTP, POP3, IMAP protocols. It is based on the standard C++ 17 and Boost library. -
QuantumGate
QuantumGate is a peer-to-peer (P2P) communications protocol, library and API written in C++. -
NetIF
Header-only C++14 library for getting addresses associated with network interfaces without name lookups on Windows, macOS, Linux, and FreeBSD
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Popular Comparisons
README
bredis
Boost::ASIO low-level redis client (connector)
Features
- header only
- zero-copy (currently only for received replies from Redis)
- low-level controls (i.e. you can cancel, or do manual DNS-resolving before a connection)
- unix domain sockets support
- works on linux (clang, gcc) and windows (msvc)
- synchronous & asynchronous interface
- inspired by beast
- requirements: boost
v1.69
minimum
Changelog
0.11
- [feature, possible breakage] add
BOOST_ASIO_NO_DEPRECATED
definition for better support boostv1.74
and modernize boost API usage
0.10
- [bugfix] avoid access to protected destructor (c++17 compatibility)
0.09
- [bugfix] critical bug in protcol serialization on empty values
0.08
- relaxed c++ compiler requirements: c++11 can be used instead of c++14
0.07
- minor parsing speed improvements (upto 10% in synthetic tests)
- fix compilation issues on boost::asio 1.70
- make it possible to use
DynamicBuffer_v2
(dynamic_string_buffer, dynamic_vector_buffer) from boost::asio 1.70 in addition tostreambuf
.DynamicBuffer_v1
was actually never supported bybredis
- [API breakage]
boos::asio::use_future
cannot be used withbredis
andboost::asio
priorv1.70
(see issue). If you needuse_future
then either upgrade boost::asio or use previousbredis
version.
0.06
- the
parsing_policy::drop_result
was documented and made applicable in client code - updated preformance results
- fixed compliation warnings (
-Wall -Wextra -pedantic -Werror
) - added shortcut header
include/bredis.hpp
- added redis-streams usage example
- added multi-thread example
0.05
- fixed level 4 warning in MSVC
- fixed compilation issues on archlinux
- improved documentation (numerous typos etc.)
0.04
- [bugfix] removed unneeded
tx_buff.commit()
onasync_write
which corrupted buffer
0.03
- improved protocol parser (no memory allocations during input stream validity check)
- more detailed information in
protocol_error_t
- added async
incr
speed test example - [small API breakage]
positive_parse_result_t
was enriched with parcing policy; now instead ofpositive_parse_result_t<Iterator>
should be written:
using Policy = r::parsing_policy::keep_result;
using result_t = r::parse_result_mapper_t<Iterator, Policy>;
- [small API breakage]
protocol_error_t
instead ofstd::string what
member now containsboost::system::error_code code
0.02
- added windows support
- added coroutines & futures support
- generalised (templated) buffer support
- changed return type: instead of result of parsing just result markers are returned, extraction of result can be done as separate step
- dropped queing support (queuing policy should be implemented at more higher levels)
- dropped subscription support (can be implemented at higher levels)
- dropped internal buffers (can be implemented at higher levels)
- dropped explicit cancellation (socket reference can be passed to connector, and cancellation can be done on the socket object outside of the connector)
0.01
- initial version
Performance
Results achieved with examples/speed_test_async_multi.cpp
for 1 thread, Intel Core i7-8550U, void-linux, gcc 8.3.0
| bredis (commands/s) | bredis(*) (commands/s) | redox (commands/s)| |---------------------|------------------------|-------------------| | 1.80845e+06 | 2.503e+06 | 0.999375+06 |
These results are not completely fair, because of the usage of different semantics in the APIs; however they are still interesting, as they are using different underlying event libraries (Boost::ASIO vs libev) as well as redis protocol parsing libraries (written from scratch vs hiredis)
(*)
bredis with drop_result policy, i.e. replies from redis server are
scanned only for formal correctness and never delivered to the caller.
Work with the result
The general idea is that the result of trying to parse a redis reply can be either: not enough data, protocol error (in an extreme case) or some positive parse result. The last one is just markers of the result, which is actually stored in the receive buffer (i.e. outside of markers, and outside of the bredis-connection).
The further work with markers depends on your needs: it is possible to either scan the result for the expected results (e.g. for a PONG
reply on a PING
command, or for OK
/QUEUED
replies on MULTI
/EXEC
commands) or to extract the results (the common redis types: nil
, string
, error
, int
or a (recursive) array of them).
When the data in the receive buffer is no longer required, it should be consumed.
Scan example:
#include "bredis/MarkerHelpers.hpp"
...
namespace r = bredis;
...
using Buffer = boost::asio::streambuf;
...
Buffer rx_buff;
auto result_markers = c.read(rx_buff);
/* check for the response */
auto eq_pong = r::marker_helpers::equality<Iterator>("PONG");
/* print true or false */
std::cout << boost::apply_visitor(eq_pong, result_markers.result) << "\n";
/* consume the buffers, after finishing work with the markers */
rx_buff.consume(result_markers.consumed);
For extraction of results it is possible to use either one of the shipped extractors or to write a custom one. Shipped extractors detach (copy / convert) the extraction results from the receive buffer.
#include "bredis/Extract.hpp"
...
auto result_markers = c.read(rx_buff);
auto extract = boost::apply_visitor(r::extractor<Iterator>(), result_markers.result);
/* safe to consume buffers now */
rx_buff.consume(result_markers.consumed);
/* we know what the type is, safe to unpack to string */
auto &reply_str = boost::get<r::extracts::string_t>(extract);
/* print "PONG" */
std::cout << reply_str.str << "\n";
Custom extractors (visitors) might be useful for performance-sensitive cases, e.g. when JSON is re-constructed in-place by using string reply markers without re-allocating the whole JSON-string reply.
The underlying reason for the decision to retrieve the final results in two steps (get markers and then scan/extract results) is that the receive buffer might be scattered (fragmented). In such cases scan and extraction can be performed without gathering receive buffers (i.e. without flattening / linearizing it) if they are separate steps.
In other words, markers have reference semantics (they refer to memory regions in the buffer, but do not own it), while extracted results have value semantics (they take ownership).
Synchronous TCP-connection example
#include "bredis/Connection.hpp"
#include "bredis/MarkerHelpers.hpp"
#include <boost/variant.hpp>
...
namespace r = bredis;
namespace asio = boost::asio;
...
/* define used types */
using socket_t = asio::ip::tcp::socket;
using Buffer = boost::asio::streambuf;
using Iterator = typename r::to_iterator<Buffer>::iterator_t;
...
/* establishing connection to redis is outside of bredis */
asio::ip::tcp::endpoint end_point(
asio::ip::make_address("127.0.0.1"), port);
socket_t socket(io_service, end_point.protocol());
socket.connect(end_point);
/* wrap socket to bredis connection */
r::Connection<socket_t> c(std::move(socket));
/* synchronously write command */
c.write("ping");
/* buffer is allocated outside of bredis connection*/
Buffer rx_buff;
/* get the result markers */
auto result_markers = c.read(rx_buff);
/* check for the response */
auto eq_pong = r::marker_helpers::equality<Iterator>("PONG");
/* print true */
std::cout << boost::apply_visitor(eq_pong, result_markers.result) << "\n";
/* consume the buffers, after finishing work with the markers */
rx_buff.consume(result_markers.consumed);
In the ping example above the PONG
reply string from redis is not (re)allocated, but directly scanned from the rx_buff
using a result markers. This can be useful for performance-sensitive cases, e.g. when JSON is re-constructed in-place by using string reply markers without re-allocating the whole JSON-string reply.
In cases where you need to extract the reply (i.e. to detach it from rx_buff
), the following can be done:
#include "bredis/Extract.hpp"
...
auto result_markers = c.read(rx_buff);
/* extract the results */
auto extract = boost::apply_visitor(r::extractor<Iterator>(), result_markers.result);
/* safe to consume buffers now */
rx_buff.consume(result_markers.consumed);
/* we know what the type is, safe to unpack to string */
auto &reply_str = boost::get<r::extracts::string_t>(extract);
/* print "PONG" */
std::cout << reply_str.str << "\n";
The examples above throw an exception in case of I/O or protocol errors. Another way to use the API is
boost::system::error_code ec;
c.write("ping", ec);
...
parse_result = c.read(rx_buff, ec);
in case you don't want the throw-exception behaviour.
Asynchronous TCP-connection example
#include "bredis/Connection.hpp"
#include "bredis/MarkerHelpers.hpp"
...
namespace r = bredis;
namespace asio = boost::asio;
namespace sys = boost::system;
...
using socket_t = asio::ip::tcp::socket;
using Buffer = boost::asio::streambuf;
using Iterator = typename r::to_iterator<Buffer>::iterator_t;
using Policy = r::parsing_policy::keep_result;
using result_t = r::parse_result_mapper_t<Iterator, Policy>;
...
/* establishing the connection to redis is outside of bredis */
asio::ip::tcp::endpoint end_point(
asio::ip::make_address("127.0.0.1"), port);
socket_t socket(io_service, end_point.protocol());
socket.connect(end_point);
...
Buffer tx_buff, rx_buff;
c.async_write(
tx_buff, r::single_command_t{"llen", "my-queue"}, [&](const sys::error_code &ec, std::size_t bytes_transferred) {
/* tx_buff must be consumed when it is no longer needed */
tx_buff.consume(bytes_transferred);
c.async_read(rx_buff, [&](const sys::error_code &ec, result_t &&r) {
/* see above how to work with the result */
auto extract = boost::apply_visitor(r::extractor<Iterator>(), r.result);
auto &queue_size = boost::get<r::extracts::int_t>(extract);
std::cout << "queue size: " << queue_size << "\n";
...
/* consume rx_buff when it is no longer needed */
rx_buff.consume(r.consumed);
});
});
In the example above separate receive and transfer buffers are used. In theory you can use only one buffer for both operations, but you must ensure that it will not be used simultaneously for reading and writing, in other words you cannot use the pipelining redis feature.
Asynchronous unix domain socket connections
The same as above, except the underlying socket type must be changed:
using socket_t = asio::local::stream_protocol::socket;
Subscriptions
There is no specific support for subscriptions, but you can easily build your own like
synchronous subscription
r::single_command_t subscribe_cmd{"subscribe", "some-channel1", "some-channel2"};
c.write(subscribe_cmd);
Buffer rx_buff;
/* get the 2 confirmations, as we subscribed to 2 channels */
r::marker_helpers::check_subscription<Iterator> check_subscription{std::move(subscribe_cmd)};
for (auto i = 0; i < 2; ++i){
auto result_markers = c.read(rx_buff);
bool confirmed = boost::apply_visitor(check_subscription, result_markers.result);
if (!confirmed) {
// do something!
...;
}
rx_buff.consume(result_markers.consumed);
}
while(true) {
auto result_markers = c.read(rx_buff);
auto extract = boost::apply_visitor(r::extractor<Iterator>(), result_markers.result);
rx_buff.consume(result_markers.consumed);
/* process the result */
auto& array_reply = boost::get<r::extracts::array_holder_t>(extract);
auto* type_reply = boost::get<r::extracts::string_t>(&array_reply.elements[0]);
if (type_reply && type_reply->str == "message") {
auto& channel = boost::get<r::extracts::string_t>(array_reply.elements[1]);
auto& payload = boost::get<r::extracts::string_t>(array_reply.elements[2]);
...
}
}
See examples/synch-subscription.cpp
for the full example.
asynchronous subscription
These work similarly to the synchronous approach. However you have to provide a read callback initially and again after each successfull read
using Policy = r::parsing_policy::keep_result;
using ParseResult = r::parse_result_mapper_t<Iterator, Policy>;
using read_callback_t = std::function<void(const boost::system::error_code &error_code, ParseResult &&r)>;
using Extractor = r::extractor<Iterator>;
...
/* we can execute the subscription command synchronously, as it is easier */
c.command("subscribe", "channel-1", "channel-2");
...
Buffer rx_buff;
read_callback_t notification_callback = [&](const boost::system::error_code,
ParseResult &&r) {
auto extract = boost::apply_visitor(Extractor(), r.result);
rx_buff.consume(r.consumed);
/* process the result, see above */
...
/* re-trigger new message processing */
c.async_read(rx_buff, notification_callback);
};
/* initialise listening subscriptions */
c.async_read(rx_buff, notification_callback);
See examples/stream-parse.cpp
for the full example.
Transactions
There is no specific support for transactions in bredis, but you can easily build your own for your needs.
First, wrap your commands into a transaction:
r::command_container_t tx_commands = {
r::single_command_t("MULTI"),
r::single_command_t("INCR", "foo"),
r::single_command_t("GET", "bar"),
r::single_command_t("EXEC"),
};
r::command_wrapper_t cmd(tx_commands);
c.write(cmd);
Then, as above there were 4 redis commands, there we should receive 4 redis
replies: OK
, QUEUED
, QUEUED
followed by the array of results of the execution of the commands
in the transaction (i.e. results for INCR
and GET
above)
Buffer rx_buff;
c.async_read(rx_buff, [&](const sys::error_code &ec, result_t&& r){
auto &replies = boost::get<r::markers::array_holder_t<Iterator>>(r.result);
/* scan stream for OK, QUEUED, QUEUED */
...
assert(replies.elements.size() == 4);
auto eq_OK = r::marker_helpers::equality<Iterator>("OK");
auto eq_QUEUED = r::marker_helpers::equality<Iterator>("QUEUED");
assert(boost::apply_visitor(eq_OK, replies.elements[0]));
assert(boost::apply_visitor(eq_QUEUED, replies.elements[1]));
assert(boost::apply_visitor(eq_QUEUED, replies.elements[2]));
/* get tx replies */
auto &tx_replies = boost::get<r::markers::array_holder_t<Iterator>>(replies.elements[3]);
...;
rx_buff.consume(r.consumed);
},
4); /* pay attention here */
Futures & Coroutines
Done in a similiar way as in Boost::ASIO
(special thanks to Vinnie Falko for the suggestion)
Futures
#include <boost/asio/use_future.hpp>
...
Buffer rx_buff, tx_buff;
auto f_tx_consumed = c.async_write(tx_buff, "ping", asio::use_future);
auto f_result_markers = c.async_read(rx_buff, asio::use_future);
...
tx_buff.consume(f_tx_consumed.get());
auto result_markers = f_result_markers.get();
/* scan/extract result, and consume rx_buff as usual */
Coroutines
#include <boost/asio/spawn.hpp>
Buffer rx_buff, tx_buff;
boost::asio::spawn(
io_service, [&](boost::asio::yield_context yield) mutable {
boost::system::error_code error_code;
auto consumed = c.async_write(tx_buff, "ping", yield[error_code]);
tx_buff.consume(consumed);
...
auto parse_result = c.async_read(rx_buff, yield[error_code], 1);
/* scan/extract result */
rx_buff.consume(parse_result.consumed);
});
Steams
There is no specific support for streams (appeared in redis 5.0) in bredis,
they are just usual XADD
, XRANGE
etc. commands and corresponding replies.
...
Buffer rx_buff;
c.write(r::single_command_t{ "XADD", "mystream", "*", "cpu-temp", "23.4", "load", "2.3" });
auto parse_result1 = c.read(rx_buff);
auto extract1 = boost::apply_visitor(Extractor(), parse_result1.result);
auto id1 = boost::get<r::extracts::string_t>(extract1);
c.write(r::single_command_t{ "XADD", "mystream", "*", "cpu-temp", "23.2", "load", "2.1" });
auto parse_result2 = c.read(rx_buff);
auto extract2 = boost::apply_visitor(Extractor(), parse_result2.result);
auto id2 = boost::get<r::extracts::string_t>(extract2);
rx_buff.consume(parse_result2.consumed);
c.write(r::single_command_t{ "XRANGE" , "mystream", id1.str, id2.str});
auto parse_result3 = c.read(rx_buff);
auto extract3 = boost::apply_visitor(Extractor(), parse_result3.result);
rx_buff.consume(parse_result3.consumed);
auto& outer_arr = boost::get<r::extracts::array_holder_t>(extract3);
auto& inner_arr1 = boost::get<r::extracts::array_holder_t>(outer_arr.elements[0]);
auto& inner_arr2 = boost::get<r::extracts::array_holder_t>(outer_arr.elements[1]);
...
Inspecting network traffic
See t/SocketWithLogging.hpp
for an example. The main idea is quite simple:
Instead of providing a real socket implementation supplied by Boost::ASIO
,
provide a wrapper (proxy) which will spy on the traffic before
delegating it to/from a Boost::ASIO
socket.
Cancellation & other socket operations
There is nothing specific to this in bredis. If you need low-level socket operations, instead of moving socket into bredis connection, you can simply move a reference to it and keep (own) the socket somewhere outside of the bredis connection.
using socket_t = asio::ip::tcp::socket;
using next_layer_t = socket_t &;
...
asio::ip::tcp::endpoint end_point(asio::ip::make_address("127.0.0.1"), port);
socket_t socket(io_service, end_point.protocol());
socket.connect(end_point);
r::Connection<next_layer_t> c(socket);
...
socket.cancel();
Thread-safety
bredis
itself is thread-agnostic, however the underlying socket (next_layer_t
)
and used buffers are usually not thread-safe. To handle that in multi-thead
environment the access to those objects should be sequenced via
asio::io_context::strand
. See the examples/multi-threads-1.cpp
.
parsing_policy::drop_result
The performance still can be boosted if it is known beforehand that the response from
redis server is not needed at all. For example, the only possible response to PING
command is PONG
reply, usually there is no sense it validating that PONG
reply,
as soon as it is known, that redis-server alredy delivered us some reply
(in practice it is PONG
). Another example is SET
command, when redis-server
usually replies with OK
.
With parsing_policy::drop_result
the reply result is just verified with formal
compliance to redis protocol, and then it is discarded.
It should be noted, that redis can reply back with error, which aslo correct
reply, but the caller side isn't able to see it when parsing_policy::drop_result
is applied. So, it should be used with care, when you know what your are doing. You have
been warned.
It is safe, however, to mix different parsing policies on the same connection,
i.e. write SET
command and read it's reply with parsing_policy::drop_result
and
then write GET
command and read it's reply with parsing_policy::keep_result
.
See the examples/speed_test_async_multi.cpp
.
API
There's a convenience header include/bredis.hpp, doing #include "bredis.hpp"
will include
every header under include/bredis/ .
Iterator
template
The underlying iterator type used for the dynamic buffer type (e.g. boost::asio::streambuf
)
redis_result_t<Iterator>
Header: include/bredis/Markers.hpp
Namespace: bredis::markers
boost::variant
for the basic types in the redis protocol ,
i.e. the following marker types :
nil_t<Iterator>
int_t<Iterator>
string_t<Iterator>
(simple string and bulk strings)error_t<Iterator>
array_holder_t<Iterator>
The basic type is string_t<Iterator>
, which contains from
and to
members (Iterator
)
to where the string is held. String does not contain the special redis-protocol symbols or any other
metadata, i.e. it can be used to extract/flatten the whole string.
nil_t<Iterator>
, int_t<Iterator>
, error_t<Iterator>
just have a string
member
to point to the underlying string in the redis protocol.
array_holder_t
is recursive wrapper for the redis_result_t<Iterator>
, it contains a
elements
member of std::array
of redis_result_t<Iterator>
type.
parse_result_t<Iterator, Policy>
Header: include/bredis/Result.hpp
Namespace: bredis
Represents the results of a parse attempt. It is a boost::variant
of the following types:
not_enough_data_t
protocol_error_t
positive_parse_result_t<Iterator, Policy>
not_enough_data_t
is a empty struct. It means that buffer just does not contain enough
information to completely parse it.
protocol_error_t
has a boost::system::error_code code
member. It describes the error
in the protocol (e.g. when the type in the stream is specified as an integer, but it cannot be
converted to an integer). This error should never occur in production code, meaning
that no (logical) errors are expected in the redis-server nor in the bredis parser. The
error might occur if the buffer is corrupted.
Policy
(namespace bredis::parsing_policy
) specifies what to do with the result:
Either drop it (bredis::parsing_policy::drop_result
) or keep it
(bredis::parsing_policy::keep_result
). The helper
parse_result_mapper_t<Iterator, Policy>
helps to get the proper
positive_parse_result_t<Iterator, Policy>
type.
positive_parse_result_t<Iterator, Policy>
contains members:
markers::redis_result_t<Iterator> result
- the result of mark-up buffer; can be used either for scanning for particular results or for extraction of results. Valid only forkeep_result
policy.size_t consumed
- how many bytes of receive buffer must be consumed after using theresult
field.
marker helpers
Header: include/bredis/MarkerHelpers.hpp
Namespace: bredis::marker_helpers
stringizer<Iterator>
Apply this boost::static_visitor<std::string>
s to
stringize the result (can be useful for debugging).
equality<Iterator>
Apply this boost::static_visitor<bool>
to find a string in the
parsed results (the markup can point to integer types, but as it
is transferred as a string anyway, it still can be founded as string
too).
Constructor: equality<Iterator>(std::string str)
check_subscription<Iterator>
This boost::static_visitor<bool>
helper is used to check
whether the redis reply confirms one of the requested channels. Hence,
the constructor is check_subscription(single_command_t)
.
Usually, the redis subscription reply is in the form:
[array] {
[string] "subcribe",
[string] channel_name,
[int] reference
}
So it checks that:
- The redis reply is a 3-element array
- The 1st reply element is a string, and it case-insensitively
matches the command, i.e. it is assumed, that
command will be
subscribe
orpsubscribe
depending on the original command - That the 3rd reply element is a reference, and it is present among the command arguments.
It is possible to reuse the same check_subscription<Iterator>
on multiple redis replies to a single subsription command for multiple channels.
Example:
bredis::single_command_t subscribe_cmd{
"subscribe", "channel-1", "channel-2"
};
...
// write the command, so the subscribe_cmd
// will be no longer be required
...;
bredis::marker_helpers::check_subscription<Iterator>
check_subscription{std::move(subscribe_cmd)};
...;
// get the 1st reply
auto parse_result = ...;
bool channel_1_ok = boost::apply_visitor(check_subscription, parse_result.result);
...;
// get the 2nd reply
parse_result = ...;
bool channel_2_ok = boost::apply_visitor(check_subscription, parse_result.result);
command_wrapper_t
Header: include/bredis/Command.hpp
Namespace: bredis
boost::variant
for the basic commands:
single_command_t
command_container_t
single_command_t
represents a single redis command with all its arguments, e.g.:
// compile-time version
r::single_command_t cmd_ping {"ping"};
r::single_command_t cmd_get {"get", "queu-name"};
...
// or runtime-version
std::vector<std::string> subscription_items { "subscribe", "channel-a", "channel-b"};
r::single_command_t cmd_subscribe {
subscription_items.cbegin(),
subscription_items.cend()
};
The arguments must be conversible to boost::string_ref
.
command_container_t
is a std::vector
of single_command_t
. It is useful for transactions
or bulk message creation.
Connection<NextLayer>
Header: include/bredis/Connection.hpp
Namespace: bredis
A thin wrapper around NextLayer
; represents a connection to redis. NextLayer
can
be either asio::ip::tcp::socket
or asio::ip::tcp::socket&
or a custom wrapper, which
follows the specification of asio::ip::tcp::socket
.
The constructor template <typename... Args> Connection(Args &&... args)
is used for the
construction of NextLayer (stream interface).
Stream interface accessors:
NextLayer &next_layer()
const NextLayer &next_layer() const
return the underlying stream object.
Synchronous interface
Performs a synchonous write of a redis command:
void write(const command_wrapper_t &command)
void write(const command_wrapper_t &command, boost::system::error_code &ec)
Performs a synchronous read of a redis result until the buffer is parsed or some error (protocol or I/O) occurs:
template <typename DynamicBuffer> positive_parse_result_t<Iterator, Policy = bredis::parsing_policy::keep_result> read(DynamicBuffer &rx_buff)
template <typename DynamicBuffer> positive_parse_result_t<Iterator, Policy = bredis::parsing_policy::keep_result> read(DynamicBuffer &rx_buff, boost::system::error_code &ec);
DynamicBuffer
must conform to the boost::asio::streambuf
interface.
Asynchronous interface
async_write
The WriteCallback
template should be a callable object with the signature:
void (const boost::system::error_code&, std::size_t bytes_transferred)
The asynchronous write has the following signature:
void-or-deduced
async_write(DynamicBuffer &tx_buff, const command_wrapper_t &command,
WriteCallback write_callback)
It writes the redis command (or commands) into a transfer buffer, sends them
to the next_layer stream and invokes write_callback
after completion.
tx_buff
must consume bytes_transferred
upon write_callback
invocation.
The client must guarantee that async_write
is not invoked until the previous
invocation is finished.
async_read
ReadCallback
template should be a callable object with the signature:
void(boost::system::error_code, r::positive_parse_result_t<Iterator, Policy = bredis::parsing_policy::keep_result>&& result)
The asynchronous read has the following signature:
void-or-deduced
async_read(DynamicBuffer &rx_buff, ReadCallback read_callback,
std::size_t replies_count = 1, Policy = bredis::parsing_policy::keep_result{});
It reads replies_count
replies from the next_layer stream, which will be
stored in rx_buff
, or until an error (I/O or protocol) is encountered; then
read_callback
will be invoked.
If replies_count
is greater than 1
, the result type will always be
bredis::array_wrapper_t
; if the replies_count
is 1
then the result type
depends on redis answer type.
On read_callback
invocation with a successful parse result it is expected,
that rx_buff
will consume the amount of bytes specified in the result
.
The client must guarantee that async_read
is not invoked until the previous
invocation is finished. If you invoke async_read
from read_callback
don't forget to consume rx_buff
first, otherwise it leads to
subtle bugs.
License
MIT
Contributors
- Derek Colley
- Stefan Hacker
- nkochakian
- Yuval Hager
- Vinnie Falco
- Stephen Coleman
- maxtorm miximtor
- Ronny Nowak
- Stephen Chisholm
- amensel
See also
*Note that all licence references and agreements mentioned in the bredis README section above
are relevant to that project's source code only.