Overview The default method by which SQLite implements atomic commit and rollback is a rollback journal. Beginning with version 3. There are advantages and disadvantages to using WAL instead of a rollback journal. WAL is significantly faster in most scenarios.
In any case some theory that may or may not be relevant If so - do not - at least before The reason is that hpux, before this version, uses a split buffer and page cache.
Any pages that are referenced in once cache will have to be scanned and invalidated from the other. Initially with the buffer cache set to MB this would have been reasonably slow.
Interestingly is your statement when you sized the buffer cache mistakenly small this improved the situation. To test the effect of this your best bet is to do what has already been suggested - bypass the buffer cache for the filesystem s in question using the specified mount options.
There are also various other problems with the data being in two caches at once which may or may not contribute to the page-ins during msync's. For instances, if you are using the write system call to extend the file while using mmap those pages with need to be read in during an msync.
Add to that the invalidation of the buffer cache pages and you'll probably see where I'm going here But why does hfs perform better than vxfs in this scenario? One possible reason is that one of vxfs's tricks is to cluster the IO to a filesystem to avoid random IO I would also suggest regular de-fragmentation of the filesystem using online jfs if you have it.
Can you run the following command:Write a message to the server log if checkpoints caused by the filling of checkpoint segment files happen closer together than this many seconds (which suggests that max_wal_size ought to be raised).
The default is 30 seconds (30s). Write-Ahead Logging WAL uses many fewer fsync() operations and is thus less vulnerable to problems on systems where the fsync() system call is broken.
Another way to think about the difference between rollback and write-ahead log is that in the rollback-journal approach, there are two primitive operations, reading and writing, . Nov 05, · High Level Write Ahead Logging. This feature is not available right now. Please try again later.
(default) Translog writes first go to a 64kB buffer in memory, and are only written to the disk when the buffer is full, or when an fsync is triggered by a write request or the sync_interval.
simple Translog writes are written to the file system immediately, without buffering. We are trying to do a single node installation on a VM with 16 cores & 16 GB RAM for Zookeeper & Kafka. Zookeeper is showing f-sync issue and after the set timeout period of ms kafka gives a .
[SyncThread:0] WARN urbanagricultureinitiative.comnLog - fsync-ing the write ahead log in SyncThread:0 took ms which will adversely effect operation latency. See the ZooKeeper troubleshooting guide.