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Notes: Designing Data-Intensive Applications

Notes: Designing Data-Intensive Applications. GitHub Gist: instantly share code, notes, and snippets.

Martin kleppmannNetwork dbsDesigning data intensiveData modelsOnline transaction processingOnline analytics processingStructured merge treesSorted string tablesBloom filtersLevenshtien automatonClustered indexCheap fileCovering indexConcatenated indexData cubesOriented architecture

Optimizing Postgres s Autovacuum for High-Churn Tables

Database systems use various techniques to ensure transactionality and performance. For Postgres, this is called MVCC (Multi-Version Concurrency Control). MVCC allows Postgres to provide great performance even when multiple clients could be working with the same table concurrently.

Samay sharmaMulti version concurrency controlVacuum delayOptimal system performanceTuning auto vacuum scale factorsQuick siestaTembo cloud

PostgreSQL: No More VACUUM, No More Bloat

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Richard bransonBerkley postgresTerrifying taleMulti version concurrency controlHeap only tuplesTry oriole

Experience CozoDB: The Hybrid Relational-Graph-Vector Database - The Hippocampus for LLMs

Experience CozoDB: The Hybrid Relational-Graph-Vector Database - The Hippocampus for LLMs
cozodb.org - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from cozodb.org Daily Mail and Mail on Sunday newspapers.

Roam researchHybrid relational graph vector databaseMulti version concurrency controlGenerative agentsInteractive simulacraHuman behaviorBig data

When To Use the @DynamicUpdate With Spring Data JPA

Explore a few scenarios to use @DynamicUpdate with Spring Data JPA. Different classes of databases are highlighted, including PostgreSQL and YugabyteDB.

Spring data jparepositoryEntity has way too manySpring dataDatabase supports column levelNow hibernateDatabase supports column level versioningMulti version concurrencyMulti version concurrency controlSpring data

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