September 2024
Intermediate to advanced
310 pages
9h 26m
Spanish
Content preview from Procesamiento de flujos con Apache Flink
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Capítulo 7. Operadores con estado y aplicaciones
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Operadores con estado y las funciones de usuario son componentes comunes de las aplicaciones de procesamiento de flujos. De hecho, la mayoría de las operaciones no triviales necesitan memorizar registros o resultados parciales porque los datos se transmiten en flujo y llegan con el tiempo.1 Muchos de los operadores, fuentes y sumideros DataStream incorporados en Flink tienen estado y almacenan registros o mantienen resultados parciales o metadatos. Por ejemplo, un operador de ventana recopila registros de entrada para un ProcessWindowFunction o el resultado de aplicar un ReduceFunction, un ProcessFunction memoriza temporizadores programados, y algunas funciones de sumidero mantienen el estado sobre las transacciones para proporcionar una funcionalidad "exactamente una vez". Además de los operadores incorporados y las fuentes y sumideros proporcionados, la API DataStream de Flink expone interfaces para registrar, mantener y acceder al estado en funciones definidas por el usuario.
El procesamiento de flujo con estado tiene implicaciones en muchos aspectos de un procesador de flujo, como la recuperación de fallos y la gestión de la memoria, así como el mantenimiento de las aplicaciones de flujo. En los capítulos 2 y 3 se trataron los fundamentos del procesamiento de flujo con estado y los detalles relacionados de la ...
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