WebNov 7, 2024 · Flink state is associated with key-group, which means a group of keys. Key-group is the unit of flink state. Each key's state will be included in a completed checkpoint. However with the incremental mode, some checkpoints will share .sst files, so you can see the checkpointed size is not that large as the total checkpoint size. WebJun 22, 2024 · There are two types of file compactor mentioned in flink's document. OutputStreamBasedFileCompactor : The users can write the compacted results into an output stream. This is useful when the users don’t want to or can’t read records from the input files. RecordWiseFileCompactor : The compactor can read records one-by-one …
Flink Guide Apache Hudi
WebCleanup during RocksDB compaction. If the RocksDB state backend is used, a Flink specific compaction filter will be called for the background cleanup. RocksDB periodically runs asynchronous compactions to merge state updates and reduce storage. Flink compaction filter checks expiration timestamp of state entries with TTL and excludes … WebFeb 26, 2024 · Take a sneak peek at Flink events happening around the globe. Webinars Explore upcoming Ververica Webinars focusing on different aspects of stream processing with Apache Flink; Flink Forward Join the biggest Apache Flink community event! Apache Flink Meetups Join different Meetup groups focusing on the latest news and updates … how to see folder size pc
Apache Flink 1.10 Documentation: Working with State
WebThe problem is that the java code of Flink compaction filter is called from RocksDB native C++ code. It is called in the context of the native compaction thread. RocksDB has utilities to create java Thread context for the Flink java callback. Presumably, the Java thread context class loader is not set at all and if it is queried then it ... WebAn incremental checkpoint builds upon (typically multiple) previous checkpoints. Flink leverages RocksDB’s internal compaction mechanism in a way that is self-consolidating over time. As a result, the incremental checkpoint history in Flink does not grow indefinitely, and old checkpoints are eventually subsumed and pruned automatically. WebIf the RocksDB state backend is used, a Flink specific compaction filter will be called for the background cleanup. RocksDB periodically runs asynchronous compactions to merge state updates and reduce storage. Flink compaction filter checks expiration timestamp of state entries with TTL and excludes expired values. how to see folder sizes