1. Redis Client Mac Os 10.13
2. Mac Os Catalina
3. Mac Redis Gui
4. Mac Os Download
5. Redis Client Mac Os 10.10

To clear all redis keys. Flushall To exit redis interactive console. Exit To set a new instance of redis, all you need is a new redis config file, start redis with that config file and you will have a second redis instance up and running. Copy the default redis config file that is used for the default redis instance. May 22, 2012 Now, make a hidden redis directory in your home folder and add a config file called redis.conf into this folder. You can consult the Redis Documentation on what options/parameters you can configure using this conf file. $ mkdir /.redis $ touch /.redis/redis.conf.

A few weeks ago I needed to build a solution to send alert messages to clients of my company. The core service had access to the database, but this service had many responsibilities already and adding a new feature to send a large number of messages could overload it. So I decided to use a different approach: the core service gets the users that should receive the message from the database and builds the message content, but then sends everything to a separate service that actually sends the messages.

This new service that sends SMS messages could be used for many other applications: an alert service to notify clients of promotions, or maybe a reminder service of scheduled appointments. Since it is completely generic, it is easy to reuse it.

For this tutorial we are going to build a simple example of two Python services communicating using Redis Pub/Sub. The main service is going to send SMS messages using Twilio Programmable SMS. We will then build a second application that sends an SMS through it.

Tutorial Requirements

To follow this tutorial you need the following components:

• Python 3.7 or newer. If your operating system does not provide a Python interpreter, you can go to python.org to download an installer.
• Redis, an open source, in-memory, NoSQL data store that we are going to use to store de messages.
• A smartphone with an active phone number and WhatsApp installed.
• A Twilio account. If you are new to Twilio create a free account now. If you use this link to open your account you will receive $10 in credit once you upgrade it.

Setting up your Twilio account

To follow this tutorial, you need your Twilio Account SID, Auth Token and Twilio phone number. When you log in to your Twilio Console, you’ll see the Account SID and Auth Token. The Account SID is a unique identifier for your account and the Auth Token is a secret key (never share this token!). These are your Twilio credentials, which will allow the Python code to access our Twilio account and use the API.

Now grab your Account SID and Auth Token from your Twilio account Console and set these in your environment variables by entering this in your terminal:

Note that if you are following this tutorial on a Windows computer you have to use set instead of export.

If you don't have a Twilio phone number with SMS functionality, you need to purchase one. Click on “Get a trial phone number”button below your credentials in the Twilio Console, or use the Buy a Number page.

Once you have your phone number, copy it and add it to another environment variable as shown below:

As in the previous example, use set instead of export if you are using a Windows computer.

If you have trouble setting your environment variables, check out this blog post.

Setting up the environment

Now that you have the Twilio phone number and the Account SID and Auth Token configured, let’s create a separate directory for our Python project and inside it create a virtual environment to install the Python packages that we need. You don’t need to create a virtual environment, but it is a recommended practice while developing Python applications. This allows you to create an isolated environment for each project, and switch between them without worry about breaking another project.

Open the terminal and create a new directory for the project called pubsub. Inside it we are going to create a virtual environment using the module venv from the Python standard library. To perform these tasks enter the following commands:

This will create the pubsub directory, and install the packages that we going to use in this project, which are:

• redis-py, the Python interface to the Redis key-value store.
• The Twilio Python Helper library, to work with the Twilio APIs

Next you'll need to install the Redis service on your machine. That can be done in a number of ways. If you use a Unix or Mac OS computer, you can install it directly from source code. In a new terminal window use the following commands to download and build Redis:

Once the build completes, you can start Redis with the command:

If you prefer to not have to deal with source code, there is a Docker image, and also binaries for Microsoft Windows.

Make sure you have Redis running before continuing.

Building the SMS microservice

The first application that we're going to build is the SMS sending service, which acts as the “subscriber” of the Pub/Sub solution. This service will listen on a Redis channel, so when a message arrives on that channel it will get a notification. For this tutorial, the message will include all the details necessary to send an SMS message using the Twilio Python Helper Library.

Create a file called sub.py in the directory pubsub, and add the following code to it:

Let's review our script. After we import a few libraries, we create a Redis connection, passing decode_responses as True, so the client will decode text data to a string:

Now we need to instantiate a pub/sub object and subscribe to a channel.

Redis also supports subscriptions using a pattern. For example, if we had multiple channels like channel-broadcast, channel-alert, channel-reminder, we can subscribe to all the channels that start with channel- using the pattern channel-*, e.g. pubsub.subscribe('channel-*').

Next we need to continuously listen to subscribed channels. We can do this using the method listen() of the pubsub object. This method returns a generator that blocks execution and waits for a new message to arrive on the channel.

We can only publish messages of type string, bytes or float, but when the subscriber gets a message from the channel, it comes as a dictionary object. For example, if we publish hello, the subscribe gets:

There are four keys in each message:

• type: the type of message. There are six types: subscribe, unsubscribe, psubscribe, punsubscribe, message, pmessage. We are only interested in the message type for this tutorial.
• pattern: in our example, the pattern is None, it's the default value. But if we use the pattern subscribe, this field will store the pattern used, e.g. channel-*.
• channel: the channel name.
• data: the actual message published on the channel.

In this tutorial we expected the content of data with a json structure. So we need to serialize the object before we publish and deserialize it on the subscriber. We can use json.loads to take the string message and return a json object. An example of message published is:

The message field is the content of the message, the from field is our Twilio phone number, which is going to be the sender of the SMS, and the to field defines the phone number that we are sending a message to. Format this number is E.164, which uses a '+' followed by the country code and then the number, without any dashes or other separators, e.g. +558499999999.

Note that if you are using a trial Twilio account, you must first verify your 'To' phone number, because Twilio needs to know you own it. You can verify your phone number by adding it to your Verified Caller IDs in the console. If you attempt to send an SMS to an unverified number with a trial account, the API will return Error 21219.

Now that we have all the data that we need to send a message, we read the environment variables TWILIO_ACCOUNT_SID and TWILIO_AUTH_TOKEN. Next we create a Twilio Client and send the SMS using the messages.create function.

We run the sub function using Process from multiprocessing. It is a good idea to use Process here because the event loop generated when we call listen() is blocking, meaning that we can't do anything else other than waiting for new messages. For this simple example this blocking is not a problem, but in a real application where you want to work on other things at the same time it could be.

Creating a publisher

Now that we have the subscriber, we can build a small publisher. First we create the Redis connection, as we did with the subscriber script. Next we read the environment variable TWILIO_PHONE_NUMBER and we define the phone number to send the message (replace YOUR_NUMBER with a phone number that you added to your Verified Caller IDs). We set up a message dictionary with the format shown in the previous section, and we publish it on the broadcast channel as a JSON string. Write the following application in a pub.py file:

Testing the messenger service

Are you ready to test the services? Start the subscriber by running python sub.py, making sure you do this while the Python virtual environment is activated and the TWILIO_ACCOUNT_SID and TWILIO_AUTH_TOKEN environment variables are defined.

Our subscriber is up! Now open another terminal, activate the virtual environment and set the TWILIO_PHONE_NUMBER variable in the environment. Then run the publisher script to send a test SMS to yourself:

You should receive the SMS and also see the following output in the subscriber process:

You can find the complete code in my repository on github.

Conclusion

Congratulations! You’ve built a communication channel between microservices using Redis pub/sub! I hope you enjoyed this tutorial and the subject has been useful. Now you can extend this concept and build other projects using the pub/sub pattern.

Good luck!

Redis Client Mac Os 10.13

Gabriela Cavalcante is a Python enthusiast and a Flask fan. You can find some of her projects on GitHub and talk about Python with her on Twitter.

This README is just a fast quick start document. You can find more detailed documentation at redis.io.

What is Redis?

Redis is often referred to as a data structures server. What this means is that Redis provides access to mutable data structures via a set of commands, which are sent using a server-client model with TCP sockets and a simple protocol. So different processes can query and modify the same data structures in a shared way.

Data structures implemented into Redis have a few special properties:

• Redis cares to store them on disk, even if they are always served and modified into the server memory. This means that Redis is fast, but that it is also non-volatile.
• The implementation of data structures emphasizes memory efficiency, so data structures inside Redis will likely use less memory compared to the same data structure modelled using a high-level programming language.
• Redis offers a number of features that are natural to find in a database, like replication, tunable levels of durability, clustering, and high availability.

Another good example is to think of Redis as a more complex version of memcached, where the operations are not just SETs and GETs, but operations that work with complex data types like Lists, Sets, ordered data structures, and so forth.

If you want to know more, this is a list of selected starting points:

• Introduction to Redis data types. http://redis.io/topics/data-types-intro
• Try Redis directly inside your browser. http://try.redis.io
• The full list of Redis commands. http://redis.io/commands
• There is much more inside the official Redis documentation. http://redis.io/documentation

Building Redis

Redis can be compiled and used on Linux, OSX, OpenBSD, NetBSD, FreeBSD.We support big endian and little endian architectures, and both 32 bitand 64 bit systems.

It may compile on Solaris derived systems (for instance SmartOS) but oursupport for this platform is best effort and Redis is not guaranteed towork as well as in Linux, OSX, and *BSD.

It is as simple as:

Mac Os Catalina

To build with TLS support, you'll need OpenSSL development libraries (e.g.libssl-dev on Debian/Ubuntu) and run:

Mac Redis Gui

To build with systemd support, you'll need systemd development libraries (suchas libsystemd-dev on Debian/Ubuntu or systemd-devel on CentOS) and run:

You can run a 32 bit Redis binary using:

After building Redis, it is a good idea to test it using:

If TLS is built, running the tests with TLS enabled (you will need tcl-tlsinstalled):

Fixing build problems with dependencies or cached build options

Redis has some dependencies which are included in the deps directory.make does not automatically rebuild dependencies even if something inthe source code of dependencies changes.

When you update the source code with git pull or when code inside thedependencies tree is modified in any other way, make sure to use the followingcommand in order to really clean everything and rebuild from scratch:

This will clean: jemalloc, lua, hiredis, linenoise.

Also if you force certain build options like 32bit target, no C compileroptimizations (for debugging purposes), and other similar build time options,those options are cached indefinitely until you issue a make distcleancommand.

Fixing problems building 32 bit binaries

If after building Redis with a 32 bit target you need to rebuild itwith a 64 bit target, or the other way around, you need to perform amake distclean in the root directory of the Redis distribution.

In case of build errors when trying to build a 32 bit binary of Redis, trythe following steps:

• Install the package libc6-dev-i386 (also try g++-multilib).
• Try using the following command line instead of make 32bit:make CFLAGS='-m32 -march=native' LDFLAGS='-m32'

Allocator

Selecting a non-default memory allocator when building Redis is done by settingthe MALLOC environment variable. Redis is compiled and linked against libcmalloc by default, with the exception of jemalloc being the default on Linuxsystems. This default was picked because jemalloc has proven to have fewerfragmentation problems than libc malloc.

To force compiling against libc malloc, use:

To compile against jemalloc on Mac OS X systems, use:

Monotonic clock

By default, Redis will build using the POSIX clock_gettime function as themonotonic clock source. On most modern systems, the internal processor clockcan be used to improve performance. Cautions can be found here:http://oliveryang.net/2015/09/pitfalls-of-TSC-usage/

To build with support for the processor's internal instruction clock, use:

Verbose build

Redis will build with a user-friendly colorized output by default.If you want to see a more verbose output, use the following:

Running Redis

To run Redis with the default configuration, just type:

If you want to provide your redis.conf, you have to run it using an additionalparameter (the path of the configuration file):

It is possible to alter the Redis configuration by passing parameters directlyas options using the command line. Examples:

All the options in redis.conf are also supported as options using the commandline, with exactly the same name.

Running Redis with TLS:

Please consult the TLS.md file for more information onhow to use Redis with TLS.

Playing with Redis

You can use redis-cli to play with Redis. Start a redis-server instance,then in another terminal try the following:

You can find the list of all the available commands at http://redis.io/commands.

Installing Redis

In order to install Redis binaries into /usr/local/bin, just use:

You can use make PREFIX=/some/other/directory install if you wish to use adifferent destination.

Make install will just install binaries in your system, but will not configureinit scripts and configuration files in the appropriate place. This is notneeded if you just want to play a bit with Redis, but if you are installingit the proper way for a production system, we have a script that does thisfor Ubuntu and Debian systems:

Note: install_server.sh will not work on Mac OSX; it is built for Linux only.

The script will ask you a few questions and will setup everything you needto run Redis properly as a background daemon that will start again onsystem reboots.

You'll be able to stop and start Redis using the script named/etc/init.d/redis_<portnumber>, for instance /etc/init.d/redis_6379.

Code contributions

Note: By contributing code to the Redis project in any form, including sendinga pull request via Github, a code fragment or patch via private email orpublic discussion groups, you agree to release your code under the termsof the BSD license that you can find in the COPYING file included in the Redissource distribution.

Please see the CONTRIBUTING file in this source distribution for moreinformation, including details on our process for security bugs/vulnerabilities.

If you are reading this README you are likely in front of a Github pageor you just untarred the Redis distribution tar ball. In both the casesyou are basically one step away from the source code, so here we explainthe Redis source code layout, what is in each file as a general idea, themost important functions and structures inside the Redis server and so forth.We keep all the discussion at a high level without digging into the detailssince this document would be huge otherwise and our code base changescontinuously, but a general idea should be a good starting point tounderstand more. Moreover most of the code is heavily commented and easyto follow.

Source code layout

The Redis root directory just contains this README, the Makefile whichcalls the real Makefile inside the src directory and an exampleconfiguration for Redis and Sentinel. You can find a few shellscripts that are used in order to execute the Redis, Redis Cluster andRedis Sentinel unit tests, which are implemented inside the testsdirectory.

Inside the root are the following important directories:

• src: contains the Redis implementation, written in C.
• tests: contains the unit tests, implemented in Tcl.
• deps: contains libraries Redis uses. Everything needed to compile Redis is inside this directory; your system just needs to provide libc, a POSIX compatible interface and a C compiler. Notably deps contains a copy of jemalloc, which is the default allocator of Redis under Linux. Note that under deps there are also things which started with the Redis project, but for which the main repository is not redis/redis.

There are a few more directories but they are not very important for our goalshere. We'll focus mostly on src, where the Redis implementation is contained,exploring what there is inside each file. The order in which files areexposed is the logical one to follow in order to disclose different layersof complexity incrementally.

Note: lately Redis was refactored quite a bit. Function names and filenames have been changed, so you may find that this documentation reflects theunstable branch more closely. For instance, in Redis 3.0 the server.cand server.h files were named redis.c and redis.h. However the overallstructure is the same. Keep in mind that all the new developments and pullrequests should be performed against the unstable branch.

server.h

The simplest way to understand how a program works is to understand thedata structures it uses. So we'll start from the main header file ofRedis, which is server.h.

All the server configuration and in general all the shared state isdefined in a global structure called server, of type struct redisServer.A few important fields in this structure are:

• server.db is an array of Redis databases, where data is stored.
• server.commands is the command table.
• server.clients is a linked list of clients connected to the server.
• server.master is a special client, the master, if the instance is a replica.

There are tons of other fields. Most fields are commented directly insidethe structure definition.

Another important Redis data structure is the one defining a client.In the past it was called redisClient, now just client. The structurehas many fields, here we'll just show the main ones:

The client structure defines a connected client:

• The fd field is the client socket file descriptor.
• argc and argv are populated with the command the client is executing, so that functions implementing a given Redis command can read the arguments.
• querybuf accumulates the requests from the client, which are parsed by the Redis server according to the Redis protocol and executed by calling the implementations of the commands the client is executing.
• reply and buf are dynamic and static buffers that accumulate the replies the server sends to the client. These buffers are incrementally written to the socket as soon as the file descriptor is writeable.

As you can see in the client structure above, arguments in a commandare described as robj structures. The following is the full robjstructure, which defines a Redis object:

Mac Os Download

Basically this structure can represent all the basic Redis data types likestrings, lists, sets, sorted sets and so forth. The interesting thing is thatit has a type field, so that it is possible to know what type a givenobject has, and a refcount, so that the same object can be referencedin multiple places without allocating it multiple times. Finally the ptrfield points to the actual representation of the object, which might varyeven for the same type, depending on the encoding used.

Redis objects are used extensively in the Redis internals, however in orderto avoid the overhead of indirect accesses, recently in many placeswe just use plain dynamic strings not wrapped inside a Redis object.

server.c

This is the entry point of the Redis server, where the main() functionis defined. The following are the most important steps in order to startupthe Redis server.

• initServerConfig() sets up the default values of the server structure.
• initServer() allocates the data structures needed to operate, setup the listening socket, and so forth.
• aeMain() starts the event loop which listens for new connections.

There are two special functions called periodically by the event loop:

1. serverCron() is called periodically (according to server.hz frequency), and performs tasks that must be performed from time to time, like checking for timed out clients.
2. beforeSleep() is called every time the event loop fired, Redis served a few requests, and is returning back into the event loop.

Inside server.c you can find code that handles other vital things of the Redis server:

• call() is used in order to call a given command in the context of a given client.
• activeExpireCycle() handles eviction of keys with a time to live set via the EXPIRE command.
• freeMemoryIfNeeded() is called when a new write command should be performed but Redis is out of memory according to the maxmemory directive.
• The global variable redisCommandTable defines all the Redis commands, specifying the name of the command, the function implementing the command, the number of arguments required, and other properties of each command.

networking.c

This file defines all the I/O functions with clients, masters and replicas(which in Redis are just special clients):

• createClient() allocates and initializes a new client.
• the addReply*() family of functions are used by command implementations in order to append data to the client structure, that will be transmitted to the client as a reply for a given command executed.
• writeToClient() transmits the data pending in the output buffers to the client and is called by the writable event handlersendReplyToClient().
• readQueryFromClient() is the readable event handler and accumulates data read from the client into the query buffer.
• processInputBuffer() is the entry point in order to parse the client query buffer according to the Redis protocol. Once commands are ready to be processed, it calls processCommand() which is defined inside server.c in order to actually execute the command.
• freeClient() deallocates, disconnects and removes a client.

aof.c and rdb.c

As you can guess from the names, these files implement the RDB and AOFpersistence for Redis. Redis uses a persistence model based on the fork()system call in order to create a thread with the same (shared) memorycontent of the main Redis thread. This secondary thread dumps the contentof the memory on disk. This is used by rdb.c to create the snapshotson disk and by aof.c in order to perform the AOF rewrite when theappend only file gets too big.

The implementation inside aof.c has additional functions in order toimplement an API that allows commands to append new commands into the AOFfile as clients execute them.

The call() function defined inside server.c is responsible for callingthe functions that in turn will write the commands into the AOF.

db.c

Certain Redis commands operate on specific data types; others are general.Examples of generic commands are DEL and EXPIRE. They operate on keysand not on their values specifically. All those generic commands aredefined inside db.c.

Moreover db.c implements an API in order to perform certain operationson the Redis dataset without directly accessing the internal data structures.

The most important functions inside db.c which are used in many commandimplementations are the following:

• lookupKeyRead() and lookupKeyWrite() are used in order to get a pointer to the value associated to a given key, or NULL if the key does not exist.
• dbAdd() and its higher level counterpart setKey() create a new key in a Redis database.
• dbDelete() removes a key and its associated value.
• emptyDb() removes an entire single database or all the databases defined.

The rest of the file implements the generic commands exposed to the client.

object.c

The robj structure defining Redis objects was already described. Insideobject.c there are all the functions that operate with Redis objects ata basic level, like functions to allocate new objects, handle the referencecounting and so forth. Notable functions inside this file:

• incrRefCount() and decrRefCount() are used in order to increment or decrement an object reference count. When it drops to 0 the object is finally freed.
• createObject() allocates a new object. There are also specialized functions to allocate string objects having a specific content, like createStringObjectFromLongLong() and similar functions.

Redis Client Mac Os 10.10

This file also implements the OBJECT command.

replication.c

This is one of the most complex files inside Redis, it is recommended toapproach it only after getting a bit familiar with the rest of the code base.In this file there is the implementation of both the master and replica roleof Redis.

One of the most important functions inside this file is replicationFeedSlaves() that writes commands to the clients representing replica instances connectedto our master, so that the replicas can get the writes performed by the clients:this way their data set will remain synchronized with the one in the master.

This file also implements both the SYNC and PSYNC commands that areused in order to perform the first synchronization between masters andreplicas, or to continue the replication after a disconnection.

Other C files

• t_hash.c, t_list.c, t_set.c, t_string.c, t_zset.c and t_stream.c contains the implementation of the Redis data types. They implement both an API to access a given data type, and the client command implementations for these data types.
• ae.c implements the Redis event loop, it's a self contained library which is simple to read and understand.
• sds.c is the Redis string library, check http://github.com/antirez/sds for more information.
• anet.c is a library to use POSIX networking in a simpler way compared to the raw interface exposed by the kernel.
• dict.c is an implementation of a non-blocking hash table which rehashes incrementally.
• scripting.c implements Lua scripting. It is completely self-contained and isolated from the rest of the Redis implementation and is simple enough to understand if you are familiar with the Lua API.
• cluster.c implements the Redis Cluster. Probably a good read only after being very familiar with the rest of the Redis code base. If you want to read cluster.c make sure to read the Redis Cluster specification.

Anatomy of a Redis command

All the Redis commands are defined in the following way:

The command is then referenced inside server.c in the command table:

In the above example 2 is the number of arguments the command takes,while 'rtF' are the command flags, as documented in the command tabletop comment inside server.c.

After the command operates in some way, it returns a reply to the client,usually using addReply() or a similar function defined inside networking.c.

There are tons of command implementations inside the Redis source codethat can serve as examples of actual commands implementations. Writinga few toy commands can be a good exercise to get familiar with the code base.

There are also many other files not described here, but it is useless tocover everything. We just want to help you with the first steps.Eventually you'll find your way inside the Redis code base :-)

Enjoy!