而根据Reids的官方文档说明,当前连接数就是因为超过了最大上限。 如基本层的连接数限制为(https://www.azure.cn/pricing/details/cache/) 而在处理请求的并发和性能上,可以参考(https://docs.azure.cn/zh-cn/azure-cache-for-redis/cache-planning-faq#azure-cache-for-redis-performance...
This can add a lot of latency to your request time and will manifest itself as a performance problem in your application. Additionally, if you have a high request rate, this can cause significant CPU churn on both the Redis client-side and server-side, which can result in other issues. A...
Check if you your Azure Redis Cache and the Client in the same region in Azure. For example, you might be getting timeouts when your cache is in East US but the client is in West US and the request doesn't complete in synctimeout time or you might be getting timeouts w...
client side cache is not invalidated upon key deletion from the same client #3825 openedApr 27, 2024byArielBerkovich 1 Using Chinese query plus summarize syntax, the characters are garbled:� #3824 openedApr 23, 2024byyangliu0109 Is renewSlotCache necessary when received MOVEDfeature ...
Reintroduce lua argument cache in luaRedisGenericCommand removed in v7.0 #11541 Reduce eval related overhead introduced in v7.0 by evalCalcFunctionName #11521 by using the following two benchmarks: setup redis-cli SCRIPT load "redis.call('hset', 'h1', 'k', 'v');redis.call('hset', 'h2...
# # By default latency monitoring is disabled since it is mostly not needed # if you don't have latency issues, and collecting data has a performance # impact, that while very small, can be measured under big load. Latency # monitoring can easily be enabled at runtime using the command...
Redis logs queries that exceed a specified execution time. You can view the slow logs on the DCS console to identify performance issues. For details about the commands, visit theRedis official website. Configure slow queries with the following parameters: ...
其实redis系统命令NODES的性能问题,在2018年已经有反馈给redis官方:Slow performance of CLUSTER SLOTS,有计划对该命令做性能优化,比如可以采用在内存维护加一个cache,动态更新每个节点的slot信息等方案。 mGet为什么特别慢 项目设计初时没有对数据进行合理的hash tag分片,因此需要从多Redis节点获取数据,使用spring的mGet方...
Redis is faster due to the fact the translation look-aside buffer (TLB) of the CPU is more efficient to cache page table entries (i.e. the hit ratio is better). Do not expect miracle, it is only a few percent gain at most.
For examples, see How can I benchmark and test the performance of my cache? The client VM used for testing should be in the same region as your Azure Cache for Redis instance. We recommend using Dv2 VM Series for your client as they have better hardware and should give the best results...