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Inside MongoDB: the Internals of an Open-Source Database

    https://www.slideshare.net/mdirolf/inside-mongodb-the-internals-of-an-opensource-database
    May 27, 2010 · Slides from a talk about MongoDB internals given at Gluecon 2010. Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising. If you continue browsing the site, you agree to the use of cookies on this website.

A tour of the MongoDB source code - Speaker Deck

    https://speakerdeck.com/mongodb/a-tour-of-the-mongodb-source-code
    Jun 29, 2011 · A tour of the MongoDB source code. A tour of the MongoDB source code. mongodb. June 29, 2011 Tweet Share Want more? Aug 21, 2012 17 2.8k. Aug 18, 2012 7 1k. Aug 16, 2012 1 1.2k. Apr 30, 2019 92 20k. Nov 18, 2019 89 6.7k. Oct 1, 2019 79 4.2k. Nov 19, 2019 ...

MongoDB Architecture MongoDB

    https://www.mongodb.com/mongodb-architecture
    MongoDB is designed to meet the demands of modern apps with a technology foundation that enables you through: The document data model – presenting you the best way to work with data.. A distributed systems design – allowing you to intelligently put data where you want it.. A unified experience that gives you the freedom to run anywhere – allowing you to future-proof your work and ...

MongoDB Driver Quick Tour - GitHub Pages

    https://mongodb.github.io/mongo-java-driver/3.0/driver/getting-started/quick-tour/
    Find All Documents in a Collection. To retrieve all the documents in the collection, we will use the find() method. The find() method returns a FindIterable instance that provides a fluent interface for chaining or controlling find operations. Use the iterator() method to get an iterator over the set of documents that matched the query and iterate. The following code retrieves all documents in ...

Server Side Public License FAQ MongoDB

    https://www.mongodb.com/licensing/server-side-public-license/faq
    Will MongoDB continue to provide open source software? Yes, MongoDB supported drivers and connectors such as the MongoDB Connector for Apache Spark are licensed under the Apache License v2.0. All versions of MongoDB Community Server released prior to October 16, 2018 will continue to be licensed under the Free Software Foundation's GNU AGPL v3.0.

How MySQL 8.0.21 and MariaDB 10.5.4 Perform in IO-Bound ...

    https://www.percona.com/blog/2020/07/31/how-mysql-8-0-21-and-mariadb-10-5-4-perform-in-io-bound-scenarios-on-sata-ssd-and-nvme-storage/
    Jul 31, 2020 · Continuing with the same topic and evaluating new versions of MariaDB and MySQL on Enterprise SSD Storage and How MySQL and MariaDB Perform on NVMe Storage, this time let’s take a look at how MySQL 8.0.21 and MariaDB 10.5.4 perform in IO-bound scenarios on both SATA SSD and NVMe storage.. To emulate the IO-bound scenario, I will use innodb_buffer_pool_size=25GB for the …

MySQL :: MySQL Internals Manual :: 10 Important Algorithms ...

    https://dev.mysql.com/doc/internals/en/algorithms.html
    MySQL Internals Manual. Preface and Legal Notice. A Guided Tour Of The MySQL Source Code. Coding Guidelines. Reusable Classes and Templates. Building MySQL Server with CMake. Plugins. Transaction Handling in the Server. The Optimizer. Tracing the Optimizer. Memory Allocation. Important Algorithms and Structures.

MySQL :: MySQL Internals Manual :: 10.2 How MySQL Does ...

    https://dev.mysql.com/doc/internals/en/filesort.html
    MySQL Internals Manual. Preface and Legal Notice. A Guided Tour Of The MySQL Source Code. Coding Guidelines. Reusable Classes and Templates. Building MySQL Server with CMake. Plugins. Transaction Handling in the Server. The Optimizer. Tracing the Optimizer. Memory Allocation. Important Algorithms and Structures.

CPython Internals Book – Real Python

    https://realpython.com/products/cpython-internals-book/
    CPython Internals Book Is… Your Guided Tour Through the Python 3.9 Interpreter Unlock the Inner Workings of the Python Language, Compile the Python Interpreter From Source Code, And Participate in the Development of CPython:. Are there certain parts of Python that just seem like magic?. Like, how dictionaries are so much faster than looping over a list to find an item…

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