Mem.mapped is a server operator for checking the amount of memory in megabyte (MB) in a MMAPv1 storage engine. You can also use mem.mapped which enables developers to scrutinize the total memory that mongod is utilizing. As more requests wait for lock more RAM is consumed and this leads to page Faults. Given that the globalLock.totalTime is harmoniously high then there are numerous requests expecting a lock. adLockCount gives the total of all the lock acquisitions impasse experienced. Lock influences the performance of an application when locks are divided ( locks.timeAcquiringMicros by locks.acquireWaitCount), this gives the average time to wait for a given lock mode.
This leads to a slowdown since lock-related delays are sporadic and sometimes affects performance of the application. When a given operation queues or runs for a long time then MongoDB performance degrades and the operation slows down as it waits for lock. Page faults can be detected through locking performance that ensure data consistency in MongoDB. Therefore, MongoDB is designed to report occurence of page faults as a summary of all incidents in one second The Data Movement Topology in MongoDBĭata from the client moves to the virtual memory where page cache reads it as it is written, data is then stored in the disk as shown in the diagram below. Due to the fact that disks are slower as compared to RAM data cache consequently the process consumes a significant amount of time. It is expensive to store and access data from the database, therefore the information must be first stored in the disk before allowing applications to access it. Databases are enhanced to work with information kept on the disk, however it habitually cache large amounts of data in the RAM in an attempt to access the disk. This creates a large latency for throughput operations making queries look like they are lagging.Īdjusting the performance of MongoDB by tuning is a vital component that optimizes execution of an application. Page fault errors occur at the moment MongoDB wants to get data that is not available in active memory of the database hence forced to read from disk. It takes place when MongoDB database reads data from physical memory rather than from virtual memory. Page faults are a prevalent error that mostly occurs in a large application involving large data.
0 kommentar(er)
