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Articole: 10
  1. On visibility map and failing transactions

    This post is not about troubleshooting but rather about an interesting observation.

  2. Beyond Basic OS Tools

    One common performance issue in Linux systems is a program consuming unexpectedly high CPU.

  3. Application-oblivious diagnosis

    When diagnosing a performance problem, interpreting the flow inside of the application is as important as other aspects of the whole process, such as tools and methodology.

  4. Lightweight locks (LWLocks) are a type of interprocess lock used by PostgreSQL to coordinate simultaneous access of multiple processes to a shared memory region.

  5. It all started with a performance issue in one of our clusters.

  6. Here are some six ways that can be used to force a query go with sequential scan access method in PostgresSQL.

  7. Parallel Query and %logons% Statistics

    Here is a quick and interesting observation regarding the %logons% statistics.

  8. The quickest and simplest way of ensuring what has been populated in In-Memory column store (IMCS) is to query the V$IM_SEGMENTS view.

  9. Parallel Query and V$SQL

    The following is a (short and quick) scenario I recently faced when analyzing a parallel query and its response time.

  10. I will not pretend that the idea presented in this post is aimed at addressing a number of troubleshooting scenarios but in some cases it may come in handy.