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The ciuster takes infinite time to get created. It has been in this state [We are deploying your changes: 3 of 3 servers complete (current action: waiting for restore to finish)] for over a day. Please help!

What problem are you trying to solve? Focus on the what and why of the need you have, not the how you'd like it solved. What would you like to see happen? Describe the desired outcome or enhancement. Why is this important to yo...

L Msaw about 6 hours ago in Performance & Optimization 0 Submitted

13 VOTE

Please add support for auto-incrementing numeric IDs. For example, if an ID starts at 1000001, the next created record should automatically use 1000002

What problem are you trying to solve? Focus on the what and why of the need you have, not the how you'd like it solved. MongoDB lacks native support for auto-incrementing numeric IDs, forcing applications to use custom counter logic, which in...

Altaab Ansari 2 months ago in Performance & Optimization / Querying & Aggregations 6 Future Consideration

4 VOTE

Proposal for an Optimized Load Mechanism in MongoDB Atlas via Spark + Databricks

Content: I currently use the Spark connector in Databricks jobs to load data into MongoDB Atlas. To handle large volumes and minimize the impact of writing to active collections, I developed a mechanism that significantly accelerates the ingesti...

Leonardo Meneguim 6 months ago in Spark Connector 0 Submitted

1 VOTE

Generative AI and Smart Automation should be a key priority. MongoDB Atlas could significantly improve developer productivity by introducing AI-assisted query optimization that doesn’t just flag inefficient queries, but actively rewrites them into optimized alternatives. Automated index recommendations based on real workload telemetry would help teams make better performance decisions without deep manual analysis. Additionally, bot-assisted support workflows could speed up issue resolution by guiding users through diagnostics and common fixes more efficiently. Together, these capabilities would provide strong competitive differentiation while improving operational efficiency for both developers and platform teams.

What problem are you trying to solve? Focus on the what and why of the need you have, not the how you'd like it solved. Teams struggle to proactively identify and fix performance issues in MongoDB workloads. Query inefficiencies, missing or s...

Spideyyy N/A 2 months ago in Atlas Monitoring, Alerts & Observability / Data Modeling & Indexing / Performance & Optimization 1 Future Consideration

1 VOTE

Show latest document first instead of first document, in list

Profit Buddy AI 2 months ago in Performance & Optimization / Querying & Aggregations 1 Future Consideration

9 VOTE

Should be possible to configure profiling output destination

When enabling database profiling the output is sent to both the system.profile collection and system logs. Logging to a capped collection is fine but spamming the logs on disk is not good. We have a need to be able to react to changing query patt...

Guest over 2 years ago in Performance & Optimization 0 Submitted

3 VOTE

Allow the ability when NVME cluster to autoscale up based on CPU and Memory

To provide autoscaling capability for MongoDB NVME clusters based on CPU utilization and memory metrics. This feature would automatically provision additional resources when predefined thresholds are reached, ensuring optimal performance during us...

Guest about 1 year ago in Performance & Optimization 0 Submitted

4 VOTE

Mongo Spark Connector Option to refresh the Schema

This w.r.t the ticket we raised "https://support.mongodb.com/case/01352011" In the current spark connector to infer the schema automatically we have an option "stream.publish.full.document.only" to "true", once this configured there is no explicit...

Guest over 1 year ago in Spark Connector 0 Submitted

3 VOTE

Add support for all type of joins like Postgres has and improve performance

$lookup is a performance killer. Joins are crucial parts in every OLTP system. $lookup is the equivalent to join in SQL, however $lookup is slow, doesn't support hash joins or other efficient join algorithm implemented in Postgres for example. Se...

Guest over 1 year ago in Performance & Optimization 1 Submitted

6 VOTE

Implement $bucket and $group on indexed values with sub-linear runtime

We noticed that sum $bucket and $group aggregations such as $min, $max, $count are unexpectedly slow even when fully covered by an index, (partially) because the DB scans through the entire index rather than employing optimization approaches such ...

Guest about 3 years ago in Performance & Optimization 0 Submitted

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