<https://ci.apache.org/projects/flink/flink-docs-release-1.3/dev/stream/state.html> it's a program that sinks messages only after enough items accumulated in the buffe Yes, that’s another important aspect of how Flink’s checkpointing is used to achieve at-least-once / exactly-once delivery to external systems.
For more details on how this works, I recommend taking at the docs here [1]. Now, assume I'm not bothered of recovering failures and only want the simplest way to implement a program that remembers data from the last run in the stream By “the last run in the stream”, you mean the history of the stream so far, correct? If that’s the case, and you don’t care about losing state on failures and don’t care about at-least-once / exactly-once, then yes you don’t have to use the managed state APIs in Flink. You can just have ordinary fields to achieve this since Flink’s streaming operators are basically long-running processes that continuously process events in the stream and manipulates its state. Cheers, Gordon On 23 July 2017 at 10:28:37 PM, ziv (zivm...@gmail.com) wrote: Ok, Let me see if I understand you correctly. You actually state that flink' states functionality is introduced only to handle recovering from failures. Let's take the example given in 1.3 documentary - https://ci.apache.org/projects/flink/flink-docs-release-1.3/dev/stream/state.html <https://ci.apache.org/projects/flink/flink-docs-release-1.3/dev/stream/state.html> it's a program that sinks messages only after enough items accumulated in the buffer. Now, assume I'm not bothered of recovering failures and only want the simplest way to implement a program that remembers data from the last run in the stream, then, according to you, I may not use none of the elements associated with flink' states - ListState snapshotState initializeState restoreState and the program still functions correctly? -- View this message in context: http://apache-flink-mailing-list-archive.1008284.n3.nabble.com/is-flink-states-functionality-futile-tp18867p18879.html Sent from the Apache Flink Mailing List archive. mailing list archive at Nabble.com.
