StackRedis.L1 | .NET in-Memory L1 '' cache for StackExchange.Redis | Caching library
kandi X-RAY | StackRedis.L1 Summary
kandi X-RAY | StackRedis.L1 Summary
If you have multiple clients all talking to Redis, then each one can still use this cache layer. This is achieved by invalidating data appropriately in the background by using a combination of Redis keyspace notifications and custom pub/sub channels. Due to the redis at-most-once delivery of messages, if a message is lost, then the in-memory cache will not be updated. This is a risk which needs to be managed.
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of StackRedis.L1
StackRedis.L1 Key Features
StackRedis.L1 Examples and Code Snippets
IDatabase database = connection.GetDatabase(); //Get your Redis IDatabase instance as normal
IDatabase l1Database = new StackRedis.L1.RedisL1Database(database) //Create the in-memory cached database on top
Community Discussions
Trending Discussions on StackRedis.L1
QUESTION
I have a Redis Database on a Centos server, and 3 Windows servers are connected to it with approximately 1,000 reads/writes per second, all of which are on the same local LAN, so the ping time is less than one millisecond. The problem is at least 5 percent of reading operations are going timeout, while I read maximum 3KB data in a read operation with 'syncTimeout=15', which is much more than network latency.
I installed Redis on bash on my windows 10, and simulate the problem. I also stopped writing operations. However, the problem still exists with 0.5 percent timeouts, while there is no network latency. I also used a Centos Server in my LAN to simulate the problem, in this case, I need at 100 milliseconds for 'syncTimeout' to be sure the amount of timeout is less than 1 percent. I considered using some Dictionaries to cache data from Redis, so there is no need to request per item, and I can take advantage of the pipeline. But I came across StackRedis.L1 which is developed as an L1 cache for Redis, and it is not confident in updating the L1 cache.
This is my code to simulate the problem:
...ANSWER
Answered 2019-Oct-13 at 09:40Or Redis can be enhanced by clustering or something else?
Redis can be clustered, in different ways:
- "regular" redis can be replicated to secondary read-only nodes, on the same machine or different machines; you can then send "read" traffic to some of the replicas
- redis "cluster" exists, which allows you to split (shard) the keyspace over multiple primaries, sending appropriate requests to each node
- redis "cluster" can also make use of readonly replicas of the sharded nodes
Whether that is appropriate or useful is contextual and needs local knowledge and testing.
Achieving this, is Considering L1 cache for a Redis cache a good solution?
Yes, it is a good solution. A request you don't make is much faster (and has much less impact on the impact) than a request you do make. There are tools for helping with cache invalidation, including using the pub/sub API for invalidations. Redis vNext is also looking into additional knowledge APIs specifically for this kind of L1 scenario.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install StackRedis.L1
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page