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Redis in Action
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About the Author
Dr. Josiah L Carlson is well known as an active and helpful contributor on the Redis mailing list. He has given talks about real-world uses of Redis, including building a self-service ad network, prioritizing task queues, web spiders, a Twitter analytics platform, real-time search engines, and more.
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Product details
Paperback: 320 pages
Publisher: Manning Publications; 1 edition (June 28, 2013)
Language: English
ISBN-10: 1617290858
ISBN-13: 978-1617290855
Product Dimensions:
7.4 x 0.7 x 9.2 inches
Shipping Weight: 1.2 pounds (View shipping rates and policies)
Average Customer Review:
4.0 out of 5 stars
13 customer reviews
Amazon Best Sellers Rank:
#280,219 in Books (See Top 100 in Books)
This is the Redis book I have read EVERY page. The examples are very useful. I hope the author can include more examples and write the 2nd edition for the latest Redis development!
Great book for both high-level overview and in-depth details. I benefited from the high-level overview of various topics and my development team benefited from practical code examples that got right to the point of each topic.
I am a software developer, and I found that the author has a very different background than me, maybe system administrator or a hardware engineer. Many things he is talking about make no sense to me, while the questions I am interested in are not answered. I am interested mostly in the properties of Redis data structures, while the author talks mostly about memory, disks and locking. At first I read this book with Google, looking for the answers in Redis specification, but then stopped reading the book at all. For me it is not too useful, and pretty unclear.
I was really excited to get this book and review all the topics included, but it ends up a not so great experience because of all the confusing bits and pieces of code which are parachuted without enough comments and explanations, making it much harder and less effective to follow.
Before I get into it, I really don't know what C. Collomb is talking about. At least 75% of the code in the book includes comments. Want to see for yourself? Read and download the example source code at the book's Github repository: [...] . There is uncommented Java code, but the Python in the repository is what is in the book.Now that that's out of the way, I've been a pretty heavy user of Redis for the last few years as part of my job, and have been programming with Python over a half-dozen years. Given my experience, most of chapters 1-4 were too basic for me, but at least the book got me used to the way Josiah writes.There were a few interesting topics in chapters 5 and 6, but I really think the author hits his stride in chapter 7 with searching. He pulls together a few different topics from earlier in the book to basically build an ad server with Redis. He leaves the reader with a full page listing of how to make the ad server better, which at least got me thinking, even though I hate ads.I wasn't interested in chapter 8's social network buildout, and the section on the streaming API probably shouldn't have even been there (it's more Python than Redis). But in chapter 9 he brings it all back together and shows how you can cut memory use in about half of the situations that I've at least come across. Then in chapter 10 he continues on the scaling side of things, again bringing up older examples.We finally get a taste of Lua scripting in chapter 11, where Josiah revisits even more previous problems. I really think that chapter 11 should have been longer, because there are a lot more interesting problems out there that Lua solves. And I wasn't interested in the sharded lists, but I guess it completes the reduced-memory sharding of structures he started in chapter 9.If I were a new Redis user, I would give this book a 5. There is gradual buildup through the first few chapters in preparation for the more intermediate and advanced topics later on. Some of the earlier problems are a bit contrived, but it will get a new Redis user asking the right questions. If you aren't a Python user, some of the code might be a bit tough to work through, but it's a lot easier (and shorter) than if the book was in Java.As a more advanced user of Redis, I wanted more of the advanced topics, but Josiah covered enough interesting problems to make it a worthwhile read. I'd consider this a solid 4, maybe 4.5 for a more advanced user, but I'm going to give it a 5 just because it is so much better than anything else out there for documenting best practices with Redis and covering topics that you just can't find anywhere else.
Redis is frequently compared to the likes of memcached and referred to as a "key value" store. This doesn't do it justice. The various data structures, it's atomic operations and pub/sub make this a viable replacement for queues, ESBs, caches and even databases.To really utilise redis some creative thinking is needed and this is where Redis in Action comes in.A well structured, well written book that covers pretty much every use case of redis in plenty of detail. It's nice to see a book not shy away from tackling the more challenging use cases for redis.The first 6 chapters are what I would consider foundation topics - whilst still very useful (like caching, logging & distributed locking) chapter 7 is where it starts to get interesting. As an aside chapter 4 is very useful and deals with configuring and working with redis to minimise the chance of data loss. It felt a bit odd that it was in the first part of the book, generally chapters focusing on configuration go towards the end of a book - not that it matters, just seemed odd!Chapter 7 onwards start to deal with interesting challenges in real world applications. By building out an Ad Server and social network the author tackles issues such as how to model none trivial data and relationships, index data and search/sort/filter.Chapters 9 & 10 deal with performance tuning and scaling redis. Some of the tips in here are worth the cost of the book alone if you're planning on using redis at scale.Chapter 11 covers how lua can be used to optimise performance. By reworking some of the earlier examples the author achieves a 20x performance improvement against the original autocomplete implementation. On future projects I'll be looking at using lua to speed things up.In summary this is a significant book that's well worth the price. Recommended.The code samples in the book are in python but java (and work in progress node) versions are available here: [...]
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