The Pipistrelles emerge first, flying around for a few minutes, before squeezing out through minute gaps around the church door.
LLMs are useful. They make for a very productive flow when the person using them knows what correct looks like. An experienced database engineer using an LLM to scaffold a B-tree would have caught the is_ipk bug in code review because they know what a query plan should emit. An experienced ops engineer would never have accepted 82,000 lines instead of a cron job one-liner. The tool is at its best when the developer can define the acceptance criteria as specific, measurable conditions that help distinguish working from broken. Using the LLM to generate the solution in this case can be faster while also being correct. Without those criteria, you are not programming but merely generating tokens and hoping.，这一点在新收录的资料中也有详细论述
，更多细节参见新收录的资料
Materialized views are not free. Each incremental view attached to a table must run its SELECT on every insert, and each execution creates a new part in the target table. Attaching too many views — more than 50 is typically excessive — will slow inserts significantly, both from the compute overhead of running each view and from the part pressure generated across all target tables. This can cascade into the "Too Many Parts" issue discussed earlier. Where possible, consolidate views that perform similar transformations, and consider whether the setting parallel_view_processing can help by running views concurrently rather than sequentially.。关于这个话题，新收录的资料提供了深入分析
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