In particular, it highlights queries that take longer than 100 milliseconds to run and offers alternate indexes based on the collections accessed by the query. It monitors queries on your MongoDB Atlas cluster and suggests new indexes for slow queries. Performance Advisorįigure 1: MongoDB Performance Advisor GUI displaying an example of a “create index” page (Source: MongoDB) This article will explore all three of these tools and discuss how they can improve your MongoDB instance’s performance. These tools include Performance Advisor, the Real Time Performance Panel, and Query Profiler-all of which provide developers with different perspectives on and solutions to database performance issues. Luckily, this database comes with several tools that were developed to address this common problem. MongoDB Atlas is not immune to poor query performance. Although it may be tempting to add more machines or further complicate your data infrastructure to speed up your queries, improving the queries themselves is usually the best place to start when you want to improve database performance. ![]() Slow queries can be the result of inefficient query design, inefficient table design, or general infrastructure problems. Regardless of what database you pick to run your application-MongoDB, Postgres, Oracle, or Cassandra-you will eventually encounter the same issue: slow queries.
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