Performance & Optimization

Showing 17 of 3993

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 1 day ago in Performance & Optimization / Querying & Aggregations 3 Submitted

1 VOTE

Show latest document first instead of first document, in list

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...

Profit Buddy AI about 24 hours ago in Performance & Optimization / Querying & Aggregations 0 Submitted

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 11 months ago in Performance & Optimization 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 about 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

1 VOTE

Provide a dictionary for matched/modified/deleted counts for bulk writes

Current bulk write operations provide only aggregated counts that look like this: ``` { acknowledged: true, insertedCount: 0, insertedIds: {}, matchedCount: 2, modifiedCount: 2, deletedCount: 0, upsertedCount: 0, upsertedIds: {} } ``` All ...

Guest 10 months ago in Performance & Optimization 0 Submitted

1 VOTE

Execute $group on shardPart instead of mergerPart

Basically what is described here: https://www.mongodb.com/community/forums/t/how-to-enforce-mongodb-to-execute-group-on-shardpart-of-the-execution-plan/267560 When running covered count queries that could be aggregated independently on the shards...

Guest 12 months ago in Performance & Optimization 0 Submitted

1 VOTE

Parallelize unionWith

Today $unionWith aggregation command is executed sequentially. EG first we query collection A and then collection B and then the union occurs. The process should be parallelized so the query part will run in parallel while the union will be done a...

Guest over 1 year ago in Performance & Optimization 0 Submitted

1 VOTE

an aggregation stage to load data to DRAM for the fields that are only requested

When we use $project stage, it loads whole document from disk to memory (if not in working set). Because of this, When we create a data model, We have to create separate collection if the field is not required in frequent access of data. Creating ...

Guest over 2 years ago in Performance & Optimization 0 Submitted

Please enter your email address

FILTER BY CATEGORY