Contents
Are virtual processors same as cores?
In other words, a virtual processor is not a direct representation of a physical CPU core. One way to control a virtual machine’s CPU consumption is to limit virtual processor assignments.
Does MongoDB use multiple cores?
Use Multiple CPU Cores MongoDB’s WiredTiger storage engine architecture is capable of efficiently using multiple CPU cores. Typically a single client connection is represented by its own thread. In MongoDB Atlas, the number of CPU cores and concurrent client connections is a function of your chosen cluster tier.
How many cores does a VM need?
To use all CPU resources allocated to a virtual machine, it must see one 8 core processor, 2 vCPUs with 4 cores each or 1 vCPU with 4 cores in two threads instead of 8 vCPUs.
How many virtual CPUs do I have?
Press Ctrl + Shift + Esc to open Task Manager. Select the Performance tab to see how many cores and logical processors your PC has.
Can Postgres use multiple cores?
The PostgreSQL server is process-based (not threaded). Client applications can use threads, each of which connects to a separate database process. Since version 9.6, portions of some queries can be run in parallel, in separate OS processes, allowing use of multiple CPU cores.
What are the features of MongoDB 3.0 WiredTiger?
One of the most compelling features of the WiredTiger storage engine is compression. Let’s talk a bit more about performance and compression. MongoDB 3.0 allows the user to configure different storage engines through the storage engine API.
Which is the default storage engine in MongoDB?
Starting in MongoDB 3.2, the WiredTiger storage engine is the default storage engine. For existing deployments, if you do not specify the –storageEngine or the storage.engine setting, the version 3.2+ mongod instance can automatically determine the storage engine used to create the data files in the –dbpath or storage.dbPath.
What kind of concurrency control does MongoDB use?
For most read and write operations, WiredTiger uses optimistic concurrency control. WiredTiger uses only intent locks at the global, database and collection levels. When the storage engine detects conflicts between two operations, one will incur a write conflict causing MongoDB to transparently retry that operation.
Which is better WiredTiger or mongodump data compression?
Not all data sets compress equally, it depends on the data format itself. Data compression is temporal. One day being better than another depending on the specific workload. One approach is to take a mongodump of the dataset in question then mongorestore that data to a compressed WiredTiger database and measure the difference.