What are the five steps of MongoDB performance optimization?

MongoDB performance optimization of what are the five steps, many novices are not very clear about this, in order to help you solve this problem, the following editor will explain in detail for you, people with this need can come to learn, I hope you can gain something.

Have you ever encountered any performance problems when using MongoDB? Here are five steps for MongoDB performance optimization.

Step 1: find out the slow sentences

Generally speaking, slow query statements are directly related to performance bottlenecks, so you can use MongoDB's performance analysis tool to find these slow statements:

Db.setProfilingLevel (1,100)

Step 2: use explain to analyze

These slow statements are diagnosed by using explain. In addition, you can analyze the logs by mtools.

Step 3: create an index

After analysis, you need to create a new index (index) to improve the performance of the query. Don't forget that indexes can be created in the background in MondoDB to avoid collections locks and system crashes.

Step 4: use sparse indexes to reduce space footprint

If you use sparse documents and heavily use the keyword $exists, you can use sparse indexes to reduce space footprint and improve query performance.

Step 5: separation of reading and writing

If all the reads and writes are in the master node, the slave node will always be vacant, which is a waste. Read operations such as report or search can be implemented in the slave node, so what you need to do is to set it to secondarypreferred in connection string.

Summary

Although these methods can play a role, the main purpose is to buy some time for structural improvement.

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