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Zelmar MicheliniEveryone knows that MongoDB has FTDC (Full-Time Diagnostic Data Capture), which helps MongoDB engineers analyze server behavior, tune parameters, and conduct forensic work when issues occur within their clusters. Here at Percona, we’ve been using the Keyhole tool for a while, and it’s great! It’s very useful for tuning parameters or analyzing what happened at […]
Inconsistent index distribution across shards in a MongoDB sharded cluster is more common than you think, and it occurs because the user creates indexes directly in the shards without using MongoS. This issue can lead to migration failures during chunk migrations, where the system cannot transfer data between shards due to index mismatches. A typical […]
Before MongoDB 4.4, we had a tool to use to analyze slow queries from the log file called mplotqueries from mtools (thanks, Thomas Rueckstiess, for the tool and the inspiration). Mplotqueries is a great tool that helped analyze slow queries on MongoDB Community, Enterprise, and Percona for MongoDB versions. But when MongoDB 4.4 was released […]
MongoDB is a non-relational document database that provides support for JSON-like storage. It provides a flexible data model allowing you to easily store unstructured data. First released in 2009, it is the most used NoSQL database and has been downloaded more than 325 million times. MongoDB is popular with developers as it is easy to […]