Amazon Aurora's Read/Write Capability Enhancement with Apache ShardingSphere-Proxy

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Amazon Aurora is a relational database management system (RDBMS) developed by AWS(Amazon Web Services). Aurora gives you the performance and availability of commercial-grade databases with full MySQL and PostgreSQL compatibility. In terms of performance, Aurora MySQL and Aurora PostgreSQL have shown an increase in throughput of up to 5X over stock MySQL and 3X over stock PostgreSQL respectively on similar hardware.

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Amazon Aurora is a relational database management system (RDBMS) developed by AWS(Amazon Web Services). Aurora gives you the performance and availability of commercial-grade databases with full MySQL and PostgreSQL compatibility. In terms of performance, Aurora MySQL and Aurora PostgreSQL have shown an increase in throughput of up to 5X over stock MySQL and 3X over stock PostgreSQL respectively on similar hardware.

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Whether a database proxy can provide a connection pool to enhance the processing of concurrent visits by users is a factor to be considered. When ShardingSphere-Proxy adds a data source and initializes, it will configure a Hikari connection pool for each database. Hikari is a widely used connection pool with low performance loss and is adopted by SpringBoot as the default connection pool. ShardingSphere-Proxy’s connection pool allows users to configure the maximum number of connections, maximum idle time, and cache-related information. In addition to the Hikari connection pool, ShardingSphere-Proxy also supports the configuration of other connection pools.

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A database solution architect at AWS, with over 10 years of experience in the database industry. Lili has been involved in the R&D of the Hadoop/Hive NoSQL database, enterprise-level database DB2, distributed data warehouse Greenplum/Apache HAWQ and Amazon’s cloud native database.

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In terms of scalability, Aurora achieves enhancements and innovations in storage and computing, both for horizontal and vertical scaling. Aurora supports up to 128TB of storage capacity and supports dynamic scaling of storage layer in increments of 10GB. In terms of computing, Aurora supports scalable configurations for multiple read replicas. Each region can have an additional 15 Aurora replicas. Aurora provides multi-primary architecture to support four read/write nodes. Its Serverless architecture allows vertical scaling and reduces typical latency to under a second, while the Global Database enables a single database cluster to span multiple AWS Regions in low latency.

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