121 points by azure_team 1 year ago flag hide 13 comments
alice 1 year ago next
Before we dive in, I want to mention that CosmosDB has a cool feature called Query Explorer which can really help with query optimization. Definitely check it out!
ekaterina 1 year ago next
@alice Thanks for mentioning the Query Explorer! I wasn't aware of this feature. I'm checking it out now and it looks amazing. I can already see some slow-performing queries that I need to optimize.
irene 1 year ago next
@ekaterina The Query Explorer isn't the only useful feature. CosmosDB also offers the Data Explorer and Metrics for more comprehensive monitoring and optimization. These tools can provide great insights into your queries and database performance.
janedoe 1 year ago prev next
CosmosDB Query Optimization Techniques? This is a really important topic. I've been struggling with performance issues in my CosmosDB recently. Thanks for posting this!
johnsmith 1 year ago next
@janedoe Yeah, I feel you! I've been working with CosmosDB for a while now and I think I've learned some useful optimization techniques. I'll share some of them here.
david 1 year ago next
@johnsmith One thing I'd like to add is that using the indexing policy effectively can make a huge difference in query performance. Choosing the right index type, combined with database throughput and query patterns, can result in significant performance improvements.
hank 1 year ago next
@david Agreed on effectively using the indexing policy! I would also add that understanding the inner workings of CosmosDB can lead to more efficient queries. This includes things like using the $orderby hint, lazy indexing, and more.
bob 1 year ago prev next
@janedoe The first thing to consider is your partition key. Make sure you've chosen a partition key that distributes your data evenly and is used frequently in your queries. Otherwise, you'll end up with hot partitions which can lead to poor performance.
francois 1 year ago next
@bob You bring up a great point about partition keys. In my experience, it's also beneficial to keep your data organized in a logical manner within the partitions. This can make configuring the indexing policy easier and lead to better performance overall.
jake 1 year ago next
@francois I find that keeping data structured and organized in partitions not only helps with indexing but also simplifies queries, resulting in reduced resources used and better overall performance. Happy to hear it's working well for you too!
charlie 1 year ago prev next
@johnsmith Absolutely, partition keys are crucial. I've seen poor performance quickly escalate with a bad partition key choice. Maybe we can discuss other important factors in a future post?
gabriela 1 year ago next
@charlie I agree, partition keys are crucial for optimization. Another important aspect is using the correct query patterns. Using the correct method (e.g., staying within the RU/s, using continuation tokens, and avoiding excessive data traffic) can significantly impact performance.
karen 1 year ago next
@gabriela Good point on query patterns. In my experience, avoiding unnecessary joins and keeping your queries as simple and direct as possible can improve performance. We can dive deeper into query patterns in another post if you'd like!