Want to bring more performance, speed, and scalability to your website? Or scale your sites for real-time services or message passing? Learn how, and get practical real-world tips in this exploration of Redis, part of a series on choosing the right data storage.
Steven Edouard and I (Rami Sayar) show you how to get up and running with Redis, a powerful key-value cache and store. In this tutorial series, you can check out a number of practical and advanced use cases for Redis as cache, queue, and publish/subscribe (pub/sub) tool, look at NoSQL and data structures, see how to create list sets and sorted sets in the cache, and much more. You can watch the course online on Microsoft Virtual Academy.
Level: Beginner to Intermediate.
By the end of this module, you will:
- Know how to install, setup and run Redis on your local machine.
- Learn how to use common commands
- Learn about Redis Data Types
- Learn about Strings and Lists
- Learn about Expiration
Redis is an open source key-value store. It is extremely popular in the web development community and it is often referred to as a data structure server.
Redis on Windows has achieved performance nearly identical to the POSIX version. Redis on Windows uses the IO Completion Port model. For the most part, none of the changes in the Windows port will impact the developer experience.
You should unzip Redis such that you have it in a folder that is in your
PATH environment variable if you plan on using the Redis through a terminal. Alternatively, you can run Redis as a service with the Windows Services model.
Once you have extracted Redis, you can open up a console, navigate to that folder and simply execute the redis-server.exe with a configuration file.
This command will start the Redis server on port 6379.
In the configuration file, you can find settings to change the port, bind to an IP or hostname, specify TCP keepalive settings, set the log file and more importantly set the settings for when Redis should snapshot the DB to disk. If you are using Redis only as a cache, you will not need to save to disk as that is a slow operation with an impact on performance.
Installing Redis as a Service
To install Redis as a service, you have to execute the
--service-install command along with a Redis config file.
redis-server --service-install redis.windows.conf
Following a successful installation, you can start the service by running the
To stop the service, you can run the
You can also give an optional name to your service if you plan on running separate instances of Redis. Just add the
--service-name NAME command to the install command and use the service-name to reference the specific service you want to start or stop. Make sure you also specific a different port for each Redis server.
Redis Client & SET/GET
Once you've got
redis-server started, you can use the
redis-cli to connect to your server and do some basic commands. Simply executing
redis-cli will connect you using the default ports and parameters as set in
If you remember from the first installment, Redis is a key-value store and the basics of the data model are storing key and value pairs. We can retrieve the values only if we know the exact key. The command to store the key-value pair is
SET key "value" or
SET person:1:first_name "Rami"
The client will print
OK if the command is executed successfully.
To retrieve the value stored for the above key, you use the
GET key or
The above will print
"Rami" if executed successfully.
Note: the quotation marks are not stored with the value.
A Walkthrough of Common Commands
Let us walk through some common Redis commands. First is
DEL which serves to remove a key-value pair from the store. Second is
SETNX which performs a
SET command only on condition that the key-value pair does not already exist in the store.
APPEND serves to append to your value.
DECR serve to increment and decrement the integer value of a key. These two commands bring up the question of "what data types are supported as values?". We will answer that question shortly.
Let us run a series of commands and see what the output is:
Notice the last increment is done on a key that has already been deleted which results in a new key being created increment from a value of zero.
Data Types Supported
Redis supports multiple ways to manipulate values as you can see by the
DECR operators in the previous section. The most basic Redis value is a string. Strings are binary safe so you can insert any kind of value you want so long as the maximum size does not surpass 512 MB. This is a hard limit. You can treat strings as numbers hence the
DECR but you can also treat them as bits (
SETBIT) or as random access arrays (
There are also other data types that we will cover mostly in the next installment. Those data types include lists, sets, sorted sets, hashes, bitmaps and hyperloglogs.
On Redis Keys
Redis keys are just strings but they are also binary-safe. An empty string is also a valid key but typically you want to to use keys that describe the value well enough and are not too long. Typically you want to stick to a self-defined schema. For instance, "object-type:id" is a good idea but if you don't like the ':' separator, '-' & '.' are frequently used.
You can determine if a key exists by simply using the
Redis also supports lists of strings. You can create a list by using the command
RPUSH which prepend a value to a list or append a value to a list. If you had an
X to the end of either command, it would only do that operation if the list already exists. The command
LPOP removes the first element in a list and removes it,
RPOP does the same for the last element. Thus you can see the beginnings of a queue.
You can also treat lists as random access. You can use
LINDEX to get an element from a list by its index and you can get the length of the list by using the
LLEN command. You can also use
LINSERT to insert an element in the list after a specific element or use
LSET to modify a value in a list at that index. You can use
LRANGE to get a range of elements and
LTRIM to remove a range of elements.
RPOPLPUSH removes the last element in a list and prepends it to another list.
Furthermore, you can turn lists into a queuing system with blocking until elements are available by adding the
B symbol before
RPOP. You can also go further into the queueing commands by using
BRPOPLPUSH which first performs a pop from one list, a push to the another while the returning the value and block if there is no value to be found. You can use this complex command to take a value from a
work queue to put into a
Querying for Keys
Typically, you should not querying for keys in production as it tends to deteriorate performance when the store has huge numbers of keys.
There are two ways to query for keys, first is by using the
KEYS command which takes a pattern that can contain glob-style patterns. The complexity for this operation is O(N) which means you should be using this in production.
SCAN is the preferred way to query for keys, in essence, its a cursor based iterator just like in programming languages such as Python or Java or other databases like MongoDB or SQL databases. The
SCAN command has several options and supporting commands which you can explore here.
In most cases, you want to avoid querying for keys, you can use sets (which will be explained in the next installment) to keep a unique list of keys.
Adding Expirations to Keys
As mentioned in the first installment, Redis is best used as a cache yet one of the principles of a cache is that key-value pairs expire after a certain amount of time. We will cover how you can set the expiration of a key in this section.
EXPIRE key ttl command with a time-to-live in seconds will set the key expiration. Redis stores the expiration as absolute Unix timestamps so even if the store goes down, when it goes back up it will expire the key.
If you no longer want to have an expiration, you can use the
PERSIST command to remove it.
If you want to find out how much time is left before expiration, you can use the
TTL command to find out.