Relational data stream management system

A relational data stream management system (RDSMS) is a distributed, in-memory data stream management system (DSMS) that is designed to use standards-compliant SQL queries to process unstructured and structured data streams in real-time. Unlike SQL queries executed in a traditional RDBMS, which return a result and exit, SQL queries executed in a RDSMS do not exit, generating results continuously as new data become available. Continuous SQL queries in a RDSMS use the SQL Window function to analyze, join and aggregate data streams over fixed or sliding windows. Windows can be specified as time-based or row-based.

RDSMS SQL Query Examples
Continuous SQL queries in a RDSMS conform to the ANSI SQL standards. The most common RDSMS SQL query is performed with the declarative  statement. A continuous SQL  operates on data across one or more data streams, with optional keywords and clauses that include   with an optional   subclause to specify the rules for joining multiple data streams, the   clause and comparison predicate to restrict the records returned by the query,   to project streams with common values into a smaller set,   to filter records resulting from a , and   to sort the results.

The following is an example of a continuous data stream aggregation using a  query that aggregates a sensor stream from a weather monitoring station. The query aggregates the minimum, maximum and average temperature values over a one-second time period, returning a continuous stream of aggregated results at one second intervals.

RDSMS SQL queries also operate on data streams over time or row-based windows. The following example shows a second continuous SQL query using the  clause with a one-second duration. The  clause changes the behavior of the query, to output a result for each new record as it arrives. Hence the output is a stream of incrementally updated results with zero result latency.