spirit of confusion

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Getting a random row from a PostgreSQL table has numerous use cases. To process an instruction like "ORDER BY RANDOM()", PostgreSQL has to fetch all rows and then pick one randomly. It's a fast process on small tables with up to a few thousand rows but it becomes very slow on large tables. This article will present examples and a tentative. OK

• 5.4.5 The Slow Query Log. The slow query log consists of SQL statements that take more than long_query_time seconds to execute and require at least min_examined_row_limit rows to be examined. The slow query log can be used to find queries that take a long time to execute and are therefore candidates for optimization.
• GORM will execute a single SQL query to fetch the Airport instance, another to get its flights, and then 1 extra query for each iteration over the flights association to get the current flight's destination. In other words you get N+1 queries (if you exclude the original one to get the airport).
• Adding metrics and trace collection to applications using Gin and/or Gorm is fairly simple with OpenCensus, especially in comparison to the value it provided. It may require a bit more work on existing code bases to make sure that a specific context is adequately propagated, but that investment pays dividends.
• An ORM makes it easier to work with an underlying relational database by provide a simple interface and avoiding the need to write SQL queries manually. As developers, we would often find ourselves in situations where we need to understand the queries being generated under the hood by the ORM.