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AGE&Citus Integrationn-Project Planning and Requirements Gathering
Since, Citus is an extension to PostgreSQL that is used for horizontal scaling of PostgreSQL across multiple nodes. we can use it with AGE to improve the performance and scalability of graph queries by parallelizing the execution across the cluster.
Citus
In relation to its operational efficiency, Citus distributes tables into shards across a network of PostgreSQL nodes. This means that data is broken down into smaller pieces and stored on numerous nodes, enabling tasks to be carried out concurrently. This approach optimally harnesses the processing power, memory, storage, and input/output capabilities of the CPU.
Additionally
The system's distributed query engine effectively directs transactions throughout the cluster, simultaneously distributing analytical queries and batch processes across all available cores. Additionally, you retain the ability to utilize the familiar PostgreSQL features and tools.
Citus, as a PostgreSQL extension, offers horizontal scalability. This can help manage AGE's data management and allow consistance performance. The data distribution in citus across multiple nodes boosts querry optimization and lessens response time. Also the data partioning will help AGE functionality by enhancing data organization and dta retrieval. So all in all in think by integrating citus with AGE it might just help push AGE beyond its current limits.
Citus Architecture
Talking about its architecture, in a citus cluster all servers run PostgreSQL with the citus extension plus any number of other extension installed. Citus uses the PostgreSQL extension APIs to change the behaviour of database in two ways.
- It replicates database objects to all servers such as custom types and functions.
- It adds two new table types that can be used to take advatange of additional servers.
AGE and Citus both are extensions to PostgresSQL, we can try to use it by installing both extensions on Postgres cluster
How to choose a shard ID on citus is a problem
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