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Informations about the package predis_with_proxy

Predis

Latest stable Latest development Monthly installs Build status

Flexible and feature-complete Redis client for PHP >= 5.3 and HHVM >= 2.3.0.

Predis does not require any additional C extension by default, but it can be optionally paired with phpiredis to lower the overhead of the serialization and parsing of the Redis RESP Protocol.

More details about this project can be found on the frequently asked questions.

Main features

How to install and use Predis

This library can be found on Packagist for an easier management of projects dependencies using Composer or on our own PEAR channel for a more traditional installation using PEAR. Ultimately, compressed archives of each release are available on GitHub.

Loading the library

Predis relies on the autoloading features of PHP to load its files when needed and complies with the PSR-4 standard. Autoloading is handled automatically when dependencies are managed through Composer, but it is also possible to leverage its own autoloader in projects or scripts lacking any autoload facility:

It is also possible to create a phar archive directly from the repository by launching the bin/create-phar script. The generated phar already contains a stub defining its own autoloader, so you just need to require() it to start using the library.

Connecting to Redis

When creating a client instance without passing any connection parameter, Predis assumes 127.0.0.1 and 6379 as default host and port. The default timeout for the connect() operation is 5 seconds:

Connection parameters can be supplied either in the form of URI strings or named arrays. The latter is the preferred way to supply parameters, but URI strings can be useful when parameters are read from non-structured or partially-structured sources:

Password protected servers can be accessed by adding password to the parameters set. When ACLs are enabled on Redis >= 6.0, both username and password are required for user authentication.

It is also possible to connect to local instances of Redis using UNIX domain sockets, in this case the parameters must use the unix scheme and specify a path for the socket file:

The client can leverage TLS/SSL encryption to connect to secured remote Redis instances without the need to configure an SSL proxy like stunnel. This can be useful when connecting to nodes running on various cloud hosting providers. Encryption can be enabled with using the tls scheme and an array of suitable options passed via the ssl parameter:

The connection schemes redis (alias of tcp) and rediss (alias of tls) are also supported, with the difference that URI strings containing these schemes are parsed following the rules described on their respective IANA provisional registration documents.

The actual list of supported connection parameters can vary depending on each connection backend so it is recommended to refer to their specific documentation or implementation for details.

When an array of connection parameters is provided, Predis automatically works in cluster mode using client-side sharding. Both named arrays and URI strings can be mixed when providing configurations for each node:

See the aggregate connections section of this document for more details.

Connections to Redis are lazy meaning that the client connects to a server only if and when needed. While it is recommended to let the client do its own stuff under the hood, there may be times when it is still desired to have control of when the connection is opened or closed: this can easily be achieved by invoking $client->connect() and $client->disconnect(). Please note that the effect of these methods on aggregate connections may differ depending on each specific implementation.

Client configuration

Many aspects and behaviors of the client can be configured by passing specific client options to the second argument of Predis\Client::__construct():

Options are managed using a mini DI-alike container and their values can be lazily initialized only when needed. The client options supported by default in Predis are:

Users can also provide custom options with values or callable objects (for lazy initialization) that are stored in the options container for later use through the library.

Aggregate connections

Aggregate connections are the foundation upon which Predis implements clustering and replication and they are used to group multiple connections to single Redis nodes and hide the specific logic needed to handle them properly depending on the context. Aggregate connections usually require an array of connection parameters when creating a new client instance.

Cluster

By default, when no specific client options are set and an array of connection parameters is passed to the client's constructor, Predis configures itself to work in clustering mode using a traditional client-side sharding approach to create a cluster of independent nodes and distribute the keyspace among them. This approach needs some form of external health monitoring of nodes and requires manual operations to rebalance the keyspace when changing its configuration by adding or removing nodes:

Along with Redis 3.0, a new supervised and coordinated type of clustering was introduced in the form of redis-cluster. This kind of approach uses a different algorithm to distribute the keyspaces, with Redis nodes coordinating themselves by communicating via a gossip protocol to handle health status, rebalancing, nodes discovery and request redirection. In order to connect to a cluster managed by redis-cluster, the client requires a list of its nodes (not necessarily complete since it will automatically discover new nodes if necessary) and the cluster client options set to redis:

Replication

The client can be configured to operate in a single master / multiple slaves setup to provide better service availability. When using replication, Predis recognizes read-only commands and sends them to a random slave in order to provide some sort of load-balancing and switches to the master as soon as it detects a command that performs any kind of operation that would end up modifying the keyspace or the value of a key. Instead of raising a connection error when a slave fails, the client attempts to fall back to a different slave among the ones provided in the configuration.

The basic configuration needed to use the client in replication mode requires one Redis server to be identified as the master (this can be done via connection parameters using the alias parameter set to master) and one or more servers acting as slaves:

The above configuration has a static list of servers and relies entirely on the client's logic, but it is possible to rely on redis-sentinel for a more robust HA environment with sentinel servers acting as a source of authority for clients for service discovery. The minimum configuration required by the client to work with redis-sentinel is a list of connection parameters pointing to a bunch of sentinel instances, the replication option set to sentinel and the service option set to the name of the service:

If the master and slave nodes are configured to require an authentication from clients, a password must be provided via the global parameters client option. This option can also be used to specify a different database index. The client options array would then look like this:

While Predis is able to distinguish commands performing write and read-only operations, EVAL and EVALSHA represent a corner case in which the client switches to the master node because it cannot tell when a Lua script is safe to be executed on slaves. While this is indeed the default behavior, when certain Lua scripts do not perform write operations it is possible to provide an hint to tell the client to stick with slaves for their execution:

The examples directory contains a few scripts that demonstrate how the client can be configured and used to leverage replication in both basic and complex scenarios.

Command pipelines

Pipelining can help with performances when many commands need to be sent to a server by reducing the latency introduced by network round-trip timings. Pipelining also works with aggregate connections. The client can execute the pipeline inside a callable block or return a pipeline instance with the ability to chain commands thanks to its fluent interface:

Transactions

The client provides an abstraction for Redis transactions based on MULTI and EXEC with a similar interface to command pipelines:

This abstraction can perform check-and-set operations thanks to WATCH and UNWATCH and provides automatic retries of transactions aborted by Redis when WATCHed keys are touched. For an example of a transaction using CAS you can see the following example.

Adding new commands

While we try to update Predis to stay up to date with all the commands available in Redis, you might prefer to stick with an old version of the library or provide a different way to filter arguments or parse responses for specific commands. To achieve that, Predis provides the ability to implement new command classes to define or override commands in the default server profiles used by the client:

There is also a method to send raw commands without filtering their arguments or parsing responses. Users must provide the list of arguments for the command as an array, following the signatures as defined by the Redis documentation for commands:

Script commands

While it is possible to leverage Lua scripting on Redis 2.6+ using directly EVAL and EVALSHA, Predis offers script commands as an higher level abstraction built upon them to make things simple. Script commands can be registered in the server profile used by the client and are accessible as if they were plain Redis commands, but they define Lua scripts that get transmitted to the server for remote execution. Internally they use EVALSHA by default and identify a script by its SHA1 hash to save bandwidth, but EVAL is used as a fall back when needed:

Customizable connection backends

Predis can use different connection backends to connect to Redis. Two of them leverage a third party extension such as phpiredis resulting in major performance gains especially when dealing with big multibulk responses. While one is based on PHP streams, the other is based on socket resources provided by ext-socket. Both support TCP/IP and UNIX domain sockets:

Developers can create their own connection classes to support whole new network backends, extend existing classes or provide completely different implementations. Connection classes must implement Predis\Connection\NodeConnectionInterface or extend Predis\Connection\AbstractConnection:

For a more in-depth insight on how to create new connection backends you can refer to the actual implementation of the standard connection classes available in the Predis\Connection namespace.

Development

Reporting bugs and contributing code

Contributions to Predis are highly appreciated either in the form of pull requests for new features, bug fixes, or just bug reports. We only ask you to adhere to a basic set of rules before submitting your changes or filing bugs on the issue tracker to make it easier for everyone to stay consistent while working on the project.

Test suite

ATTENTION: Do not ever run the test suite shipped with Predis against instances of Redis running in production environments or containing data you are interested in!

Predis has a comprehensive test suite covering every aspect of the library. This test suite performs integration tests against a running instance of Redis (>= 2.4.0 is required) to verify the correct behavior of the implementation of each command and automatically skips commands not defined in the specified Redis profile. If you do not have Redis up and running, integration tests can be disabled. By default the test suite is configured to execute integration tests using the profile for Redis 3.2 (which is the current stable version of Redis) but can optionally target a Redis instance built from the unstable branch by modifying phpunit.xml and setting REDIS_SERVER_VERSION to dev so that the development server profile will be used. You can refer to the tests README for more detailed information about testing Predis.

Predis uses Travis CI for continuous integration and the history for past and current builds can be found on its project page.

Other

Project related links

Author

License

The code for Predis is distributed under the terms of the MIT license (see LICENSE).


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