High Throughput Data Management with BrAPI Server
"Learn how the BrAPI Production Server handles high-throughput data use cases efficiently, from importing germplasm records to managing observations. Explore examples, optimized configurations, and migrating production data seamlessly."
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Presentation Transcript
The BrAPI Production Server The BrAPI Production Server Manage high thruput and big data use cases, the BrAPI way
Example Use Cases Example Use Cases Import hundreds of thousands/millions of germplasm records Search these records in a timely fashion Breakout certain pieces of these entities, like Pedigree Nodes Tie thousands/millions of observations to these germplasm
Introducing: The BrAPI Production Server Introducing: The BrAPI Production Server Optimized configurations, entities and endpoints Batch operations and queries to efficiently save and retrieve data Standardized UUID as data type for IDs Serves as hub for performance issues with Br-API backend Enhancements actively being developed! https://github.com/plantbreeding/brapi-Java-ProdServer
But What About the Test Server? But What About the Test Server? Still the default for beginning development and integration New BrAPI spec versions hit there first Is sufficient for apps with lower thruput/scale Identifiers are postgres text datatype to remain flexible
I already have production data! I already have production data! There are detailed steps you can take to migrate an existing BrAPI DB Once these steps are taken, point the BrAPI Production server to the migrated database Exponential Scale You Production DB Heaven Test Data
Data Migrated Data Migrated Now What? Now What? Account for your data. Where is it concentrated? Expected? Follow the spec to store data as it was intended: Try not to shoehorn Ask for reasonable amounts of data from BrAPI. Paginate! Still having issues, or have implementations/suggestions to add? Create an issue: https://github.com/plantbreeding/brapi-Java-ProdServer/issues
Questions? Questions?
