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Does order matter in MongoDB query?
For single-field indexes, the sort order of keys doesn’t matter because MongoDB can traverse the index in either direction. For more information on sort order and compound indexes, see Use Indexes to Sort Query Results.
How does MongoDB measure performance?
MongoDB Performance Monitoring Tools
- mongostat Command. mongostat is used to get a quick overview of the status of your MongoDB server instance.
- mongotop Command. mongotop tracks the amount of time a MongoDB instance spends reading and writing data per collection.
- rs. status() Command.
- db.
- dbStats Command.
- collStats Command.
Is MongoDB slower than SQL?
I have the same data of around 30 million record saved in a SQL Server table and a MongoDB collection. A sample record is shown below, I have set up the same indexes as well. Below are the queries to return the same data, one in SQL the other in mongo.
How to optimize query performance in MongoDB?
When you need only a subset of fields from documents, you can achieve better performance by returning only the fields you need: For example, if in your query to the posts collection, you need only the timestamp, title, author, and abstract fields, you would issue the following command:
Why do you need an index in MongoDB?
Indexes also improve efficiency on queries that routinely sort on a given field. If you regularly issue a query that sorts on the timestamp field, then you can optimize the query by creating an index on the timestamp field: Because MongoDB can read indexes in both ascending and descending order, the direction of a single-key index does not matter.
How does the$ Inc operator work in MongoDB?
Use MongoDB’s $inc operator to increment or decrement values in documents. The operator increments the value of the field on the server side, as an alternative to selecting a document, making simple modifications in the client and then writing the entire document to the server.
How to reduce the number of cursors in MongoDB?
MongoDB cursors return results in groups of multiple documents. If you know the number of results you want, you can reduce the demand on network resources by issuing the limit () method. This is typically used in conjunction with sort operations.