¿Cómo sincronizo Redis?

How do I sync Redis?

Redis SYNC command is used to sync slave to master.

1. Return Value. Simple string reply.
2. Syntax. Following is the basic syntax of Redis SYNC command. redis 127.0.0.1:6379> SYNC.
3. Example. redis 127.0.0.1:6379> SYNC Entering slave output mode… ( press Ctrl-C to quit) SYNC with master, discarding 18 bytes of bulk transfer…

Redis is a great choice for implementing a highly available in-memory cache to decrease data access latency, increase throughput, and ease the load off your relational or NoSQL database and application.

Caching is a buffering technique that stores frequently-queried data in a temporary memory. It makes data easier to be accessed and reduces workloads for databases. For example, you need to retrieve a user’s profile from the database and you need to go from a server to server.

A database cache supplements your primary database by removing unnecessary pressure on it, typically in the form of frequently accessed read data. The cache itself can live in a number of areas including your database, application or as a standalone layer.

relational database
In addition to being a high-performance object database, Caché is also a full-featured relational database. All the data within a Caché database is available as true relational tables and can be queried and modified using standard SQL via ODBC, JDBC, or object methods.

Redis (cluster mode enabled) supports partitioning your data across up to 500 node groups. You can dynamically change the number of shards as your business needs change. One advantage of partitioning is that you spread your load over a greater number of endpoints, which reduces access bottlenecks during peak demand.

The SYNC command is called by Redis replicas for initiating a replication stream from the master. It has been replaced in newer versions of Redis by PSYNC.

Cache miss: query MySQL to get the data (can use read replicas to improve performance), save the returned data to Redis, return the result to client. Delete the entry in Redis (always delete rather than update the cache, the new value will be inserted when next cache miss).

When you update values in Redis,you can put the values in other ‘Queue’, such as List in Redis.Then consuming the values in Queue and update Mysql. If the Redis data isn’t too much,just using a Scheduler to batch flush all data to Mysql. Thanks for contributing an answer to Stack Overflow!

There’s no need to check if it exists in the Redis Cache or not. This is only true if your Cosmos DB data transfer object (DTO) is the same one that your clients will use to consume the Redis Cache data.

In reality, C ‘s write operation on Redis should happen much earlier than D ‘s delete operation on Redis. Cache miss: query MySQL to get the data (can use read replicas to improve performance), save the returned data to Redis, return the result to client.