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  2. Connection pool - Wikipedia

    en.wikipedia.org/wiki/Connection_pool

    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.

  3. Cosmos DB - Wikipedia

    en.wikipedia.org/wiki/Cosmos_DB

    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.

  4. JDBC driver - Wikipedia

    en.wikipedia.org/wiki/JDBC_driver

    The JDBC type 4 driver, also known as the Direct to Database Pure Java Driver, is a database driver implementation that converts JDBC calls directly into a vendor-specific database protocol. Written completely in Java, type 4 drivers are thus platform independent. They install inside the Java virtual machine of the client. This provides better ...

  5. Download and install the latest Java Virtual Machine in ...

    help.aol.com/articles/download-and-install-the...

    Download and install the latest Java Virtual Machine in Internet Explorer. 1. Go to www.java.com. 2. Click Free Java Download. 3. Click Agree and Start Free Download. 4. Click Run. Notes: If prompted by the User Account Control window, click Yes. If prompted by the Security Warning window, click Run. 5.

  6. PACELC theorem - Wikipedia

    en.wikipedia.org/wiki/PACELC_theorem

    The tradeoff between availability, consistency and latency, as described by the PACELC theorem. In database theory, the PACELC theorem is an extension to the CAP theorem.It states that in case of network partitioning (P) in a distributed computer system, one has to choose between availability (A) and consistency (C) (as per the CAP theorem), but else (E), even when the system is running ...

  7. Optimistic concurrency control - Wikipedia

    en.wikipedia.org/wiki/Optimistic_concurrency_control

    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.

  8. Network congestion - Wikipedia

    en.wikipedia.org/wiki/Network_congestion

    Networks use congestion control and congestion avoidance techniques to try to avoid collapse. These include: exponential backoff in protocols such as CSMA/CA in 802.11 and the similar CSMA/CD in the original Ethernet , window reduction in TCP , and fair queueing in devices such as routers and network switches .

  9. RocksDB - Wikipedia

    en.wikipedia.org/wiki/RocksDB

    RocksDB is not an SQL database (although MyRocks combines RocksDB with MySQL). Like other NoSQL and dbm stores, it has no relational data model , and it does not support SQL queries. Also, it has no direct support for secondary indexes, however a user may build their own internally using Column Families or externally.