The solution we proposed was to use

Mitu300

Red segment represents the actual time spent running the query. The fundamental issue here is using a similar language as a wire protocol to communicate with the query engine. Having a set of limitations forces the client to serialize the query using something that can get around megabytes. If you used it for a long time you may remember it as a more focused tool. When rebuilt to focus entirely on becoming a regular database we retained this part of the architecture without questioning it or measuring its performance impact. a pure redesign of the wire protocol from the ground up. This made the communication between the client and the query engine more efficient since it no longer required to serialize the messages. After redesigning the wire protocol we effectively removed the entire split from the diagram leaving us with the following adoption of the protocol Note If you are interested you can check out the pull request and the actual changes that were made.
  
Check out the amazing feedback from users who have tried the new Wired-based protocol on Note that the Wired-based protocol is currently in preview. Once ready for production it will be photo editing servies ome the default way for clients to communicate with the query engine. Please give it a try and submit any feedback to help speed up the process of making this feature generally available. Host your function in the same area as the database. After we switched to protocol the distracting purple part has disappeared from the diagram. We can focus on the rest. With protocol we clearly notice the light red and red as next. Part of the big candidates. These represent triggered communications with the actual database. Whenever you host an application or function that requires access to a traditional relational database you need to initiate a connection to that database.



This takes time and introduces delays. The same goes for any query you perform. The goal is to keep time and latency to an absolute minimum. The best approach currently is to ensure that your application or feature is deployed in the same geographic region as the database server. The shorter the distance your request has to travel to reach the database server, the faster the connection will be established. This is very important to keep in mind when deploying serverless applications because not doing so can have significant negative consequences. Failure to do so may affect the time it takes to complete the handshake, protect the connection to the database, and execute your query. All of these factors are activated during a cold start and therefore affect the impact of using a database with a cold start on your application. Embarrassingly we noticed that we had completed the first few tests using serverless functions in and instances hosted in . We quickly fixed this issue and later measurements clearly showed the huge impact this could have on database latency, both for creating connections and for any queries to the database being executed with functions.