- #COSMOS DB EMULATOR MAC MAC OS#
- #COSMOS DB EMULATOR MAC CODE#
- #COSMOS DB EMULATOR MAC ISO#
- #COSMOS DB EMULATOR MAC WINDOWS#
#COSMOS DB EMULATOR MAC CODE#
We were able to get around some of the limitations through custom code using Azure Functions CosmosDBTrigger. For example, Change Feed does not tell you what has changed in the document. Unfortunately, we found the Cosmos DB Change Feed support quite basic at the moment. Cosmos DB support Events through Change Feed. Change Feed support is basicĪn Event-Driven architecture requires you to listen to an event and take appropriate action against that event. Small things like using STARTSWITH instead of CONTAINS in query can make a huge difference. But, then it is extremely important to monitor your query performance. To reduce the RUs you can choose to index only the items you would need for your query. Just for example, by default Cosmos DB indexes each item on the document. If you are not careful, then your cost can shoot up exponentially. Cost can shoot exponentially if you do not know what you are doingĮach read and write to Cosmos DB costs you Request Unit (or RU). I raised it on Stack Overflow only to find that “Automatic” property has been deprecated but docs are not yet updated to reflect the latest information. For instance, recently, I stumbled into an issue with “Automatic” indexing. The side effect of this is that documentation becomes out-of-date or incomplete very soon. And understandably, the Cosmos DB team is pushing in changes at a super rapid pace. This came at a cost of few sleepless nights for our Architect, Ivan to get it working right before our release 🙂 Cosmos DB is changing rapidly and documentation finds it difficult to keep paceĬosmos DB is still maturing. As a result, we had to roll our custom implementation of Outbox. Unfortunately, there is no official support for Outbox with Cosmos DB. One of the great features of NServiceBus is Outbox. Our messaging infrastructure is built over NServiceBus. NET SDK v3.4 changes that and we hope to migrate to the latest version soon. We had to write custom code using server-side store procedures to implement transaction.
#COSMOS DB EMULATOR MAC ISO#
As a workaround we need to store the dates in ISO 8601 UTC format as string following ISO 8601 (that is format YYYY-MM-DDThh:mm:ss.sssZ) No transaction supportĬosmos DB did not support transactions out-of-box until very recently. It does not support localization of dates, which is probably one of the most basic requirements for any enterprise. One of the most surprising limitations we can across with Cosmos DB was its lack of support for DateTime and DateTimeOffset data type. No Datetime and DateTimeOffset type support This, of course, means more cost to the company.
As a result, developers have to build and run tests against the real Cosmos DB. In addition to this, we found that the emulator does not behave the same as compared to “real” Cosmos DB in all the scenarios.
#COSMOS DB EMULATOR MAC MAC OS#
This is a huge drawback for us since we also have developers on Mac OS and our build pipeline is on Linux.
#COSMOS DB EMULATOR MAC WINDOWS#
Emulator SupportĬosmos DB emulator only supports Windows OS. There is still a scope of improvement but nevertheless, I think Microsoft is on the right path. We have now switched over to v3 SDK and it is much easier to consume. And given v3 was around the corner we decided to stick with the Core SDK. However, Cosmonaut is also quite opinionated. For a small and mid-size project, I would recommend to give it a try. It makes it very easy to interact with Cosmos DB APIs. Cosmonaut is a great library and wrapper around Cosmos DB SDK. We had to write a lot of custom code to make it more palatable. We did not find the SDK v2 very easy to consume. Our development initially started when Cosmos DB SDK was still called (Cosmos DB SDK v3 was not GA at that time).
Below are the few learnings we had as we migrated to Cosmos DB. A quick internet search would give us answers to most of our questions.Ĭosmos DB, on the other hand, is quite young. The most common problems like transactions, indexing, auditing, data migration, etc have been solved with SQL Server over and over. SQL Server is old and boring but extremely reliable and mature. Being on Azure, Cosmos DB came as a natural NoSQL choice for us.īut moving to Cosmos DB came with some downsides. We were able to get rid of a lot of Entity framework code, SQL creation and migration scripts, relational schema, and so on. One of the main motivations for this switch was that it was too hard to ignore all goodness of a NoSQL DB over its SQL counterpart. But, midway during the development, we decided to switch Cosmos DB instead.
One of our primary services had Azure SQL as its data source originally. We are currently working on a greenfield project which involves building several microservices on Azure.
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