Performance of Redis JSON

The baseline for RedisJSON

A smallish object

We test a JSON value that, while purely synthetic, is interesting. The test subject is /tests/files/pass-100.json, which weighs in at 380 bytes and is nested. We first test SETting it, then GETting it using several different paths:

A bigger array

We utilize the 1.4 kB array in /tests/files/pass-JSON SQL-1.json for larger values:

A largish object

To finish, we'll take on a monster weighing in at no less than 3.5 kB, as specified by /tests/files/pass-JSON-parser-0000.json:

Number operations 

Last but not least, some multiplication and addition:

Comparison and server-side Lua scripting

RedisJSON's performance is compared to Redis' integrated Lua engine. We utilize the Lua scripts found under /benchmarks/Lua for this. These scripts allow you to use RedisJSON's GET and SET functions on JSON or MessagePack data. Each "engine" performs various operations (set root, get root, set path, and get the way) on objects of different sizes.

​​Setting and getting the root.

Raw JSON scores best in this test, which isn't unexpected given that it only serves unprocessed text. While Redis may and should be used to cache opaque data, such as JSON "blobs," it does not allow for any modifications other than those to the total value.

Because each processes the incoming JSON content before storing it, a more appropriate comparison is between RedisJSON and the MessagePack equivalent. While the rates and latencies of these two are relatively close, the absolute measurements indicate that RedisJSON's performance may be better.

Frequently asked questions

Is Redis more efficient than JSON?

In terms of performance, saving the user object in JSON format uses less memory and takes less time to save and retrieve. In other words, parsing JSON is likely to be faster than obtaining each field from Redis.

Should I use Redis to store JSON?

RedisJSON saves data in a binary format, which eliminates the storage cost of JSON and allows for faster access to items without the need for de-/re-serialization. Install RedisJSON on your Redis server or activate it in your Redis Enterprise database to utilize it.

What is the purpose of using the Redis client?

Redis is an in-memory key-value store with adjustable durability that supports various abstract data types. Various server-side architectural patterns can be implemented with Redis. A client/server protocol is used to interact with Redis.

What may Redis be used for?

Redis Strings is a binary-safe data structure that is one of the most versatile of Redis' building components. It can hold any type of data, including strings, integers, floating-point values, JPEG images, serialized Ruby objects, etc.

What is the difference between Memcached and Redis?

Memcached is a distributed memory caching technology that is well-suited as a cache or a session store due to its ease of use and simplicity. Redis is an in-memory data structure store with a wide range of capabilities. It's a cache, database, message broker, and queue all in one.

Conclusion

This article has gone through the performance of RedisJSON with Redis' integrated Lua engine. We utilize the Lua scripts found under /benchmarks/Lua for this. These scripts allow you to use RedisJSON's GET and SET functions on JSON or MessagePack data.

RedisJSON allows you to store, update, and retrieve JSON values in Redis exactly like any other data type.  

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