The Little Redis Book

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Other sponsors and past sponsors of the Redis project are listed in the Sponsors page. Pipelining : Learn how to send multiple commands at once, saving on round trip time. Check it out. Redis Lua scripting : Redis 2. Expires : Redis allows to set a time to live different for every key so that the key will be automatically removed from the server when it expires. Redis as an LRU cache : How to configure and use Redis as a cache with a fixed amount of memory and auto eviction of keys.

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Redis transactions : It is possible to group commands together so that they are executed as a single transaction. Mass insertion of data : How to add a big amount of pre existing or generated data to a Redis instance in a short time. Partitioning : How to distribute your data among multiple Redis instances.

Distributed locks : Implementing a distributed lock manager with Redis. Creating secondary indexes with Redis : Use Redis data structures to create secondary indexes, composed indexes and traverse graphs. Writing a simple Twitter clone with PHP and Redis Auto complete with Redis Data types short summary : A short summary of the different types of values that Redis supports, not as updated and info rich as the first tutorial listed in this section. FAQ : Some common questions about Redis.

Replication : What you need to know in order to set up master-slave replication. Persistence : Know your options when configuring Redis' durability.

EBOOK – REDIS IN ACTION

It's always "thanks for making it short! Karl, since this is already written in Markdown, have you thought about putting it on Leanpub? Finally, readers get automatic updates if you post new versions etc. Wow great stuff. I just wanted to say that I appreciate you sharing this with us. Bookmarked :.

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Gertig on Jan 30, Karl, I read this twice over the weekend and it very much changed how I was thinking about Redis. Thanks for making it understandable and for having such a clear writing style.

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Will definitely make the time to read this one as well. Yep another great addition to the 'Little' family and the Redis ecosystem - thx a lot Karl! DrHankPym on Jan 23, Is there a. As an example, let's say that we have an online record shop and want to store information about the albums for sale in Redis. There's many different ways we could model this data in Redis, but we'll keep things simple and store each album as a hash — with fields for title, artist, price and the number of 'likes' that it has.

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In this example we're not really interested in the reply from Redis all successful HMSET commands just reply with the string "OK" so we don't do anything except check the return value from Do for any errors. These are:. Let's use some of these in conjunction with the HGET command to retrieve information from one of the album hashes:. It's worth pointing out that, when we use these helper methods, the error they return could relate to one of two things: either the failed execution of the command, or the conversion of the reply data to the desired type for example, we'd get an error if we tried to convert the reply "Jimi Hendrix" to a float There's no way of knowing which kind of error it is unless we examine the error message.

Let's now look at a more complete example, where we use the HGETALL command to retrieve all fields from an album hash in one go and store the information in a custom Album struct. Or an alternative, and arguably neater, approach is to use the redis.

Values and redis. ScanStruct functions to automatically unpack the data to the Album struct, like so:.

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Note: Behind the scenes the redis. ScanStruct function uses Go's strconv package to convert the values returned from Redis in to the appropriate Go type for the struct field — similar in principle to what we did in the previous example. By default this supports integer, float, boolean, string and []byte fields. If you need to automatically scan into a custom type, you can do so by implemeting the redis.


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Scanner interface on your custom type. If we want to access a single Redis server from multiple goroutines, as we would in a web application, we must use establish a pool of Redis connections , and each time we want to use a connection we fetch it from the pool, execute our command on it, and return it too the pool. We'll illustrate this in a simple web application, building on the online record store example we've already used. Our finished app will support 3 functions:.