Contents
How much space does MongoDB take?
Because MongoDB uses a journal file size limit of 100 MB, WiredTiger creates a new journal file approximately every 100 MB of data.
Is MongoDB good for big data?
Conclusion. MongoDB handles real-time data analysis in the most efficient way hence suitable for Big Data. Since the database is document based and fields have been embedded, very few queries can be issued to the database to fetch a lot of data. This makes it ideal for usage when Big Data is concerned.
Why is it not recommended to limit MongoDB memory usage?
It simply memory maps all its data files and relies on the operating system to cache data. The OS typically evicts the least-recently-used data from RAM when it runs low on memory. So in a production environment it is not recommended to restrict MongoDB memory usage as this might impact the performance and functionalities.
How to release the caching which is used by MongoDB?
MongoDB will (at least seem) to use up a lot of available memory, but it actually leaves it up to the OS’s VMM to tell it to release the memory (see Caching in the MongoDB docs.) You should be able to release any and all memory by restarting MongoDB. However, to some extent MongoDB isn’t really “using” the memory.
What are virt and Res in MongoDB?
VIRT and RES are virtual and resident memory. Below you see that mongod is using 91% of the system’s memory in this example. At that point the system became unresponsive. You can also get memory usage statistics from MongoDB in the shell: If you have even done C or C++ programming you will be familiar with malloc .
How can I shrink the size of my MongoDB database?
You can use below command to start the repair the database which will ultimately shrink the size of the database. MongoDB compresses the files by: You can compress by running mongod –repair or by connecting directly and running db.repairDatabase () like below.