We can also use Azure Cache for Redis as a distributed queue to process tasks in our application.įinally, Azure Cache for Redis can be used to execute a batch of operations as a single transaction. Instead of using this cookie to query data in our database, we can use Redis to associate the information with our user. If we try and store too much data in a cookie, this can have an impact on the performance of our web application as the cookie grows. We can store user history data in our web application that are associated with user cookies. This is great, because it will help our web application to be more responsive by reducing load times. Say if we have a web application that uses a bunch of static content that don’t change often, we can use a in-memory cache to quickly access our static content which will be a lot quicker than retrieving that content from a datastore. We can also have an expiration time on our data to trigger a data update into the cache. When our application makes changes to our data, it will also update the cache. Instead, we could use the cache-aside pattern to load data into the cache when we need to. We wouldn’t want to load our database data directly into our cache. With Azure Redis Cache, we can use it for the following scenarios: We’re able to process a large amount of application requests by keeping the most frequently accessed data in our server memory so that it can be written to and read from quickly.Īzure Cache for Redis is a managed service and it provides secure Redis server instances with full Redis API compatibility. This is an in-memory data store that helps us improve the performance and scalability of our applications. You can use conn.GetEndPoints() to list the endpoints (either all known, or the ones specified in the original configuration - these are not necessarily the same thing), and iterate with GetServer() to find the server you want (for example, selecting a replica).Azure Cache for Redis provides us with a powerful in-memory data store that can be used for distributed data, session stores or even message brokering.Īzure provides us with it’s own implementation of Redis called Azure Cache for Redis. So I need to remember which server I connected to? That sucks! Either way, both SCAN and KEYS will need to sweep the entire keyspace, so should be avoided on production servers - or at least, targeted at replicas. If SCAN is not available, it will use KEYS, which can cause blockages at the server. The reason for this is that behind the scenes, the system will determine the most appropriate method to use ( KEYS vs SCAN, based on the server version), and if possible will use the SCAN approach to hand you back an IEnumerable that does all the paging internally - so you never need to see the implementation details of the cursor operations. ![]() The Keys(.) method deserves special mention: it is unusual in that it does not have an *Async counterpart. Note that unlike the IDatabase API (where the target database has already been selected in the GetDatabase() call), these methods take an optional parameter for the database, or it defaults to 0. Keys ( pattern : "*foo*" )) // completely wipe ALL keys from database 0 server. GetServer ( someServer ) // show all keys in database 0 that include "foo" in their name foreach ( var key in server. get the target server var server = conn. Simple: start from a server, not a database. ![]() RANDOMKEY only selects a key that is on the current server not the wider logical databaseĪctually, StackExchange.Redis spoofs the RANDOMKEY one on the IDatabase API by simply selecting a target server at random, but this is not possible for the others.FLUSHDB / FLUSHALL only remove keys that are on the current server not the wider logical database.KEYS / SCAN only list keys that are on the current server not the wider logical database.(I’ve probably missed at least one) Most of these will seem pretty obvious, but the first 3 rows are not so obvious: PUBSUB (not to be confused with PUBLISH / SUBSCRIBE / etc).SCRIPT (not to be confused with EVAL / EVALSHA).The following commands all target a single server: ![]() Because StackExchange.Redis aims to target scenarios such as cluster, it is important to know which commands target the database (the logical database that could be distributed over multiple nodes), and which commands target the server. ![]() The key word here, oddly enough, is the last one: database. There doesn’t seem to be a Flush(.) method? How can I remove all the keys in the database? There doesn’t seem to be a Keys(.) or Scan(.) method? How can I query which keys exist in the database? Some very common recurring questions are: StackExchange.Redis Where are KEYS, SCAN, FLUSHDB etc?
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