Post by account_disabled on Jan 4, 2024 8:22:52 GMT
Queries. The way these projects were generated previously was not as optimized as it should be. To shorten this section we addressed the performance issues found there. More specifically we found a way to remove an expensive piece of code that converts the internal schema when starting the query engine before building the query schema. We also now lazily generate strings for many type names in query patterns. This made a significant difference. In addition to this change we also found ways to optimize the code in the architecture generator to improve memory layout resulting in a significant performance runtime improvement. NOTE If you are interested in the specific details of the memory allocation related fixes we made please take a look at the following example pull request. these changes is shown below with Schema Builder enhancements. Notice the cyan segments are significantly shortened.
This is a huge win but there are still cyan segments out there which means time is spent doing things that have nothing to do with the database. We've identified photo editing servies potential enhancements that will bring the segment close to, if not completely down to, zero. Various Small Victories Along the way we also discovered many smaller inefficiencies that we were able to improve. There are many of them so we won't cover them all but a good example is the optimization we made to the platform detection routine for searching libraries in the environment. A pull request for this enhancement can be found here. This enhancement reduces cold start time by approximately milliseconds on average. While this may not seem like much but the accumulation of this enhancement and the other small enhancements we made.
Added up to another huge time savings. Narration related findings Another noteworthy finding we discovered during this program is that cold start times can be significantly impacted by adding security to the database connection when your database is hosted in a different region than the serverless function. . The handshake requires a round trip to the database. It's very fast when your database is hosted in the same region as your function but can be very slow if they are far apart. The client is enabled by default because it is a more secure way to connect to the database. Therefore some developers whose database is not in the same area as its functionality may find that the handshake results in.
This is a huge win but there are still cyan segments out there which means time is spent doing things that have nothing to do with the database. We've identified photo editing servies potential enhancements that will bring the segment close to, if not completely down to, zero. Various Small Victories Along the way we also discovered many smaller inefficiencies that we were able to improve. There are many of them so we won't cover them all but a good example is the optimization we made to the platform detection routine for searching libraries in the environment. A pull request for this enhancement can be found here. This enhancement reduces cold start time by approximately milliseconds on average. While this may not seem like much but the accumulation of this enhancement and the other small enhancements we made.
Added up to another huge time savings. Narration related findings Another noteworthy finding we discovered during this program is that cold start times can be significantly impacted by adding security to the database connection when your database is hosted in a different region than the serverless function. . The handshake requires a round trip to the database. It's very fast when your database is hosted in the same region as your function but can be very slow if they are far apart. The client is enabled by default because it is a more secure way to connect to the database. Therefore some developers whose database is not in the same area as its functionality may find that the handshake results in.