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Have tried the new Wired-based protocol on Note that the Wired-based protocol is currently in preview. Once ready for production it will become the default way for clients to communicate with the query engine.  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 im photo editing servies portant 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 fixed this quickly and after measurements clearly showed the huge impact this could have on database latency, both for creating the connection and for any queries being executed. The database is in the same area as the function. Using a database that is not too close to your function will Directly.



Increasing the duration of a cold start but incurring the same cost when executing the query later during hot requests will also incur. Optimizing Internal Architecture Building In the diagram shown earlier you may have noticed that only two of the three sections on the Internal column are directly related to the database. Another partial pattern generator shown in cyan is not. This shows us that this segment is an area for improvement. The database is located in the same area as the function. The segment of the green bar represents the time it takes to run its function to establish a connection to the database. The segment is divided into two blocks in the inner column, cyan and light red. The light red segment represents the time it takes to actually create the database connection and the cyan segment shows the time it takes for the query engine to read your schema and then use it to generate the schema .