4 posts tagged with "query processing"

This article describes how queries in Aerospike allow applications to process query results as a stream of records, paginate over results, partition a query for parallelism, and resume execution at a later time.

While it is possible to process a data set using a large number of parallel streams, a higher degree of parallelism may not be necessarily optimal or even possible. This article explores how to think about parallelism, and discusses many bottlenecks that limit the level of parallelism. It also highlights the need to perform measurements in the target setup due to many factors that cannot be easily quantified.

Aerospike provides several mechanisms for accessing large data sets over parallel streams to match worker throughput in parallel computations. This article explains the key mechanisms, and describes specific schemes for defining data splits and a framework for testing them.

Aerospike Database is deployed by large-scale real-time applications in a wide range of verticals. Businesses need “as it happens” visibility over these systems - sometimes in near-real time - via notifications, ad-hoc queries, dashboards, and reports.

SQL is broadly used as a data access language for analytics, and Trino provides a powerful engine for SQL access to multiple data sources. Aerospike Trino Connector enables SQL access to Aerospike data through Trino, and more broadly, allows Aerospike to be used to expand fast analytics data accessible from Trino.