Tag: mongodb
A hands-on guide to the MongoDB aggregation pipeline. Master $match, $group, $sort, and $lookup by building a real reporting query one stage at a time
Your index exists but queries are still slow? It's usually field order. Learn the ESR rule — Equality, Sort, Range — to build MongoDB compound indexes that actually work.
MongoDB indexes are powerful, but they are not magic. explain tells you the truth — as long as you know where to look. The biggest mistake is seeing IXSCAN and moving on thinking "okay, it is fast." The real story is hidden in those three numbers and in timeReadingMicros.
The mechanical part of vector search is genuinely small: declare an index, put $vectorSearch first in a pipeline, keep filters inside the stage, and project the score so you can see what the engine is thinking.
The feedback pointed in a clear direction: teams wanted more control over what gets replicated, better pipeline management, and the ability to connect their own infrastructure. v1.1 delivers all of that.
BlancoByte CDC Connector is built on open-source technologies that have been battle-tested at scale:
Iterative rsync seeding is not the first tool you should reach for—but when conventional resync methods fail, it can save hours (or days) of downtime. Used carefully and tested properly, it’s a powerful technique for large or bandwidth-constrained MongoDB deployments.
In this post, I’m sharing a simple but effective MongoDB full backup script designed for daily use. The script runs on a scheduled basis, creates a full backup every day, and automatically cleans up the previous day’s backup only if the new backup completes successfully.
Welcome to the MongoDB ToolKit, a comprehensive suite of Python scripts designed to help you monitor and troubleshoot your MongoDB clusters effectively. This toolkit includes various scripts tailored for different aspects of MongoDB management, from sharded and replicated cluster summaries to index