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Yanfei Lei commented on FLINK-29402: ------------------------------------ This is a very interesting proposal, I think this is not hard to implement in Flink. From the [wiki|https://github.com/facebook/rocksdb/wiki/Direct-IO] there are two options to control the DirectIO: {{use_direct_reads}} and {{use_direct_io_for_flush_and_compaction, }}and these two options are supported by current {{{}frocksdb-jni(6.20.3){}}}. BTW, do you have quantitative benchmark results about DirectIO *ON* vs DirectIO {*}OFF{*}? > Add USE_DIRECT_READ configuration parameter for RocksDB > ------------------------------------------------------- > > Key: FLINK-29402 > URL: https://issues.apache.org/jira/browse/FLINK-29402 > Project: Flink > Issue Type: Improvement > Components: Runtime / State Backends > Affects Versions: 1.15.2 > Reporter: Donatien > Priority: Not a Priority > Labels: Enhancement, rocksdb > Fix For: 1.15.2 > > Original Estimate: 1h > Remaining Estimate: 1h > > RocksDB allows the use of DirectIO for read operations to bypass the Linux > Page Cache. To understand the impact of Linux Page Cache on performance, one > can run a heavy workload on a single-tasked Task Manager with a container > memory limit identical to the TM process memory. Running this same workload > on a TM with no container memory limit will result in better performances but > with the host memory exceeding the TM requirement. > Linux Page Cache are of course useful but can give false results when > benchmarking the Managed Memory used by RocksDB. DirectIO is typically > enabled for benchmarks on working set estimation [Zwaenepoel et > al.|[https://arxiv.org/abs/1702.04323].] > I propose to add a configuration key allowing users to enable the use of > DirectIO for reads thanks to the RocksDB API. This configuration would be > disabled by default. -- This message was sent by Atlassian Jira (v8.20.10#820010)