Enriching your Data Stream Asynchronously with Apache Flink
Автор: Flink Forward
Загружено: 2020-10-28
Просмотров: 5191
Описание: When data comes into a streaming workload, it may be necessary to enrich it with external data sources like an external API, query to a database, or lookup from a key/value store like Redis. It is critical that this enrichment does not stall data flowing through the system and not impact upstream operators in the Directed Acyclic Graph. Asynchronous I/O for External Data Access solves this requirement by enabling the use of a data client that supports asynchronous requests, handles requests and responses concurrently, and maintains fault tolerance and exactly-once guarantees. In this session, we explain the RichAsyncFunction and how to enrich a data stream using Amazon Kinesis Data Analytics for Apache Flink.
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