However, CockroachDB is not yet suitable for heavy analytics / OLAP. CockroachDB returns single-row reads in 2ms or less and single-row writes in 4ms or less, and supports a variety of SQL and operational tuning practices for optimizing query performance.Packaged Applications: Limited (should be mostly primary key access).DSS Applications (data marts, analytics): Limited (Join operations across OLTP datasets not exceeding 3TB in size).A shared nothing architecture with data locality awareness make it the perfect choice for running on commodity hardware and in globally distributed cloud infrastructure. MySQL Cluster has replication between clusters across multiple geographical sites built-in.Oracle Sharding is a scalability, availability and geo-distribution feature for OLTP applications that distributes and replicates data across a pool of discrete Oracle databases.OLTP (mainly multi-tenant OLTP custom applications).Q2: Which workload do we want to focus on first?.Q1: What workloads do we want to handle?.9 Techniques to Build Cloud-Native, Geo-Distributed SQL Apps with Low Latency.Rise of Globally Distributed SQL Databases - Redefining Transactional Stores for Cloud Native Era. Of course, it's ideal to invent PostgreSQL-specific advantages. Learn: Because there are already various scale-out DBMSs out there, it's better to learn from them and adopt good points to aim for the best.For example, it's better to enable users to specify table distribution method with ALTER TABLE or a user-defined function, instead of forcing the use of special keywords in CREATE TABLE. Value application transparency: Try to require little or no modification of the application's Logical data model, application logic, and query.That will differentiate the built-in scale-out from other scale-out DBMSs. Maximize the benefits of PostgreSQL: Make as many existing features and ecosystems available as possible, such as powerful SQL, ACID based on strict consistency, various index types, extensibility, and client drivers.7.15 Software update, upgrade and downgrade.3.7 Query planning, execution and tuning.2.4 System catalog management and data definition.
0 Comments
Leave a Reply. |
Details
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |