Introduction: On March 2, 2022, PolarDB enterprise architecture will usher in a blockbuster release! This conference will be the first open source PolarDB’s overall structure design and enterprise characteristics, PolarDB for PostgreSQL storage computing separation architecture, HTAP architecture, three-node high availability architecture will be fully introduced.
In 2021, Ali Cloud officially announced the open source PolarDB for PostgreSQL distributed edition, including database kernel, related plug-ins, tool scripts, test cases and design documents, suitable for the core business scenarios of medium and large enterprises. On March 2, 2022, open source PolarDB enterprise architecture will usher in a blockbuster release! This conference will be the first open source PolarDB’s overall structure design and enterprise characteristics, PolarDB for PostgreSQL storage computing separation architecture, HTAP architecture, three-node high availability architecture will be fully introduced.
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PolarDB for PostgreSQL is a cloud native database product independently developed by Ali Cloud, 100% compatible with PostgreSQL, using storage computing separation architecture based on shared storage, with extreme flexibility, millisecond delay, support HTAP capability, It also supports spatio-temporal, GIS, image, vector, search, atlas and other multi-mode innovation features, which can meet the ever-changing needs of enterprises for data processing.
- Extreme flexibility: Storage and computing power can be independently scaled horizontally. ○ If the computing capacity is insufficient, you can expand the computing cluster without data replication. ○ If the storage capacity or I/O capacity is insufficient, you can expand the storage cluster without interrupting services.
- ○ WAL logs are stored on shared storage. Only WAL metadata is replicated from the RW to all RO. ○ Original LogIndex technology, the implementation of Lazy playback and Parallel playback, theoretically minimize the delay between RW and RO nodes.
- HTAP capability: A shared-storage-based distributed parallel execution framework that accelerates OLAP queries in OLTP scenarios. One SET of OLTP data supports two sets of computing engines: ○ Single-node execution engine: Processes TP loads with high concurrency. ○ Distributed execution engine: AP load for processing large queries.
Source repository address: github.com/ApsaraDB/Po…
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