Replenishment Mercado Libre Ms.c Computer Science Bs.c Software and Computing Engineering Universidad Nacional de Colombia Passionate on building software applications, researching and playing video games. Sebastian Alejandro Velasco
#ffcd00ff Relationships between data items are expressed by means of tables (values) Relational SQL Natural Normally includes a Structured Query Language API. Provides a natural and straightforward way to represent data in tables. Commitment and Atomicity Handle business rules and policies at a very granular way. Relational model is the best for maintaining data consistency across applications. Data Consistency
relational database transactions: atomicity, consistency, isolation, and durability—typically referred to as ACID. • Atomicity defines all the elements that make up a complete database transaction. • Consistency defines the rules for maintaining data points in a correct state after a transaction. • Isolation keeps the effect of a transaction invisible to others until it is committed, to avoid confusion. • Durability ensures that data changes become permanent once the transaction is committed.
Libre First Party 2021 #2d2d2dff #ffcd00ff • What are our data accuracy requirements? Will data storage and accuracy rely on business logic? Does our data have stringent requirements for accuracy (for example, financial data and government reports)? • Do we need scalability? What is the scale of the data to be managed, and what is its anticipated growth? Will the database model need to support mirrored database copies (as separate instances) for scalability? If so, can it maintain data consistency across those instances? • How important is concurrency? Will multiple users and applications need simultaneous data access? Does the database software support concurrency while protecting the data? • What are our performance and reliability needs? Do we need a high-performance, high-reliability product? What are the requirements for query-response performance? What are the vendor’s commitments for service level agreements (SLAs) or unplanned downtime?
#2d2d2dff #ffcd00ff Store and retrieve Data in a relational database. The API itself, defined in javax.persistence The Jakarta Persistence Query Language (JPQL) Object/relational mapping Purpose https://github.com/spring-guides/gs-accessing-data-jpa
a well-known data access pattern, whose main purpose is to reduce the overhead involved in performing database connections and read/write database operations. In a nutshell, a connection pool is, at the most basic level, a database connection cache implementation, which can be configured to suit specific requirements. • Opening a connection to the database using the database driver • Opening a TCP socket for reading/writing data • Reading / writing data over the socket • Closing the connection • Closing the socket Database connection lifecycle database connections are fairly expensive operations
lightweight (at roughly 130Kb) and lightning-fast JDBC connection pooling framework developed by Brett Wooldridge around 2012. https://github.com/brettwool dridge/HikariCP-benchmark
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