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Cache – The computer memory that is set aside to contain a portion of the database data that has most recently been accessed by the database application program. A cache is used to minimize the amount of physical disk I/O performed by the DBMS.
Tag: Cache
MySQL: Waiting for query cache lock
Query cache might seem like a good idea at first glance. When you execute a query, compute the hash of the query, tag the tables the data was fetched from, and store the result set in the cache. If the query appears again before any data in the underlying tables has changed, we don’t have to execute the query again, we just fetch it from the cache. What could possibly go wrong?Well, it turns out that there is a flaw in this plan, and as is usually the case with most caches, it is to do with detecting staleness and ... Read More
Public Preview of Native JSON Support on Azure Cache for Redis Enterprise
Feed: Redis. Author: Shreya Verma. With this release, find new opportunities to help create a document database using native JSON support on Azure Cache for Redis Enterprise. We are excited to announce the public preview of native JSON support on Azure Cache for Redis Enterprise and Enterprise Flash tiers. The Enterprise tiers are developed in a joint partnership between Redis and Microsoft. They help you achieve the highest level of performance, availability, and functionality for your Redis cache databases. With this release, we now provide a real-time document store on Azure Cache for Redis that allows you to build modern, ... Read More
3 Reasons an Inefficient Cache Is Worse Than No Cache at All

Feed: Redis. Author: Steve Naventi. Redis sponsored this post. At its core, database caching is a simple-enough concept: It is the practice of putting an in-memory datastore in front of (or aside) a database that acts as the system of record. Caching allows organizations to keep frequently requested data in speedy RAM and enhance application performance by reducing calls to slower disk or flash-based databases that persist system data. This efficiency brings incredible performance benefits. A basic cache While the concept is simple, in practice, caching can be complex. Efficient caching requires meticulous planning and a deep understanding of your ... Read More
Azure HBv3 VMs for HPC now generally available with AMD EPYC CPUs with AMD 3D V-Cache

Feed: Microsoft Azure Blog. Author: Evan Burness. Azure HBv3 virtual machines (VMs) are now upgraded to and generally available with AMD EPYC 3rd Gen AMD EPYC™ processors with AMD 3D V-Cache™ technology, formerly codenamed “Milan-X”, in the Azure East US, South Central, and West Europe regions. In addition, we are announcing that HBv3 VMs will also soon come to Central India, UK South, China North 3, Southeast Asia, and West US 3 Azure regions. Customers can view estimated time of arrival for these new regions at Azure Availability by region. To access these enhanced CPUs, customers need only deploy new ... Read More
Active-Active Geo-Distribution Now Generally Available in Azure Cache for Redis Enterprise
Feed: Redis. Author: Shreya Verma. We’re excited to announce the general availability of Active-Active Geo-Distribution from Redis in Azure Cache for Redis’ Enterprise and Enterprise Flash tiers. Azure Cache for Redis customers can now have up to five Enterprise tier cache database instances in different Azure regions to form an active geo-replicated cache using conflict-free replicated data types. An Enterprise tier active-active deployment allows businesses to create global applications that provide local sub-millisecond read/write latencies with considerably better resilience to failure, covered by 99.999% Azure availability SLA. In addition, Active-Active Geo-Distribution provides strong eventual consistency, supporting writes to multiple Redis instances ... Read More
Three Ways to Maintain Cache Consistency
Feed: Redis. Author: Ross Owens. If you believe Ralph Waldo Emerson, a foolish consistency may be the hobgoblin of little minds, but when it comes to implementing a scalable, successful enterprise-level caching strategy, there’s nothing foolish about consistency. In fact, one of the greatest challenges in managing the operation of an enterprise database is maintaining cache consistency. Why do we bother with caches in the first place? The principal advantage of an enterprise cache is the speed and efficiency at which data can be accessed. While each call to the primary database can be expensive in terms of both time ... Read More
AWS AppSync now supports cache entry eviction for server-side data caching
Feed: Recent Announcements. AWS AppSync is a managed GraphQL service that simplifies application development by letting you create a flexible API to securely access, manipulate, and combine data from one or more data sources. Today, we are happy to announce that AppSync now supports eviction of specific entries from AppSync’s built-in server-side cache. AppSync’s server-side caching feature can be used to help improve the performance of latency-sensitive and high-throughput applications by allowing developers to store and fetch data from a fast, in-memory, managed cache. Before today, customers could invalidate cache entries by flushing the entire cache, but could not invalidate ... Read More
Redis as a Cache vs Redis as a Primary Database in 90 Seconds
Feed: Redis. Author: Will Johnston. We received a lot of good feedback on our post titled, “Learn How Redis Simplifies Your Architecture in 90 Seconds,” so we decided to do a follow-up about Redis as a cache versus Redis as both a cache and a primary database. How to replace your primary database with Redis Everyone knows Redis began as a caching database, but it has since evolved to a primary database. Many applications built today use Redis as a primary database. However, most Redis service providers support Redis as a cache, but not as a primary database. This means ... Read More
MaxScale 6.2 Cache
Feed: MariaDB Knowledge Base Article Feed. Author: . This filter was introduced in MariaDB MaxScale 2.1. Overview From MaxScale version 2.2.11 onwards, the cache filter is no longer considered experimental. The following changes to the default behaviour have also been made: The default value of cached_data is now thread_specific (used to be shared). The default value of selects is now assume_cacheable (used to be verify_cacheable). The cache filter is a simple cache that is capable of caching the result of SELECTs, so that subsequent identical SELECTs are served directly by MaxScale, without the queries being routed to any server. By ... Read More
Amazon ECR announces pull through cache repositories
Feed: Recent Announcements. Amazon Elastic Container Registry (Amazon ECR) now supports pull through cache repositories, a new feature designed to automatically sync images from publicly accessible registries. With today’s release, customers now benefit from the download performance, security, and availability of Amazon ECR for the public images. Organizations rely on public registries for images to build or complement their container applications. The more public images that are pulled, the more teams need to ensure they stay updated with the public image’s source registry. With pull through cache repositories, there are no additional solutions or tools to manage. Using pull through ... Read More
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