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SDKs such as those for .NET, Java, and Python implement connection pooling to reuse HTTP connections to the database endpoint, optimizing resource usage and performance. This functionality applies to all Cosmos DB account types, including provisioned throughput and serverless models.
The throughput provisioned on an Azure Cosmos container is exclusively reserved for that container. [12] The default maximum RUs that can be provisioned per database and per container are 1,000,000 RUs, but customers can get this limit increased by contacting customer support.
Database connections are finite and expensive and can take a disproportionately long time to create relative to the operations performed on them. It is inefficient for an application to create, use, and close a database connection whenever it needs to update a database. Connection pooling is a technique designed to alleviate this problem. A ...
The speed of light imposes a minimum propagation time on all electromagnetic signals. It is not possible to reduce the latency below = / where s is the distance and c m is the speed of light in the medium (roughly 200,000 km/s for most fiber or electrical media, depending on their velocity factor).
Optimistic concurrency control (OCC), also known as optimistic locking, is a non-locking concurrency control method applied to transactional systems such as relational database management systems and software transactional memory. OCC assumes that multiple transactions can frequently complete without interfering with each other.
During soak tests, memory utilization is monitored to detect potential leaks. Also important, but often overlooked is performance degradation, i.e. to ensure that the throughput and/or response times after some long period of sustained activity are as good as or better than at the beginning of the test.
There are 2 solutions to the discreteservice-rate moderate-sized problem, namely r = (6, 7, 7), b = (12, 8) and r = (7, 7, 6), b = (8, 12)with an expected throughput (defined as the limiting throughput over a long time horizon, as opposed to the approximation induced through the need for a warm-up period and ratio-estimate as described under ...
A typical goal is to stabilize all network queues while optimizing some performance objective, such as minimizing average energy or maximizing average throughput. Minimizing the drift of a quadratic Lyapunov function leads to the backpressure routing algorithm for network stability, also called the max-weight algorithm .