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  • Showing only topics in ~comp with the tag "performance". Back to normal view / Search all groups
    1. Tell me your worst experience with database performance (as a developer)

      I’d like your help – and your stories! I’m working on an article with a tentative title of “Tales of the Crypt: Horror stories (about your past) where database performance caused a real problem.”...

      I’d like your help – and your stories!

      I’m working on an article with a tentative title of “Tales of the Crypt: Horror stories (about your past) where database performance caused a real problem.” It’s meant to be schadenfreude nostalgia, about your late nights coping with a performance issue (with, hopefully, a happy ending of “…and this is what we did to fix it”).

      So, what happened? Tell me about it.

      I do want to quote you, but we can be oblique about the attribution – especially because sometimes these stories are from a previous employer and do not represent any current affiliation. But I do want the verisimilitude that demonstrates that these tales-of-woe come from real people. As a result, I’m fine with writing, “Kim’s first job was as a mainframe programmer at a hotel chain, where database transactions required tape changes. ‘Yada yada story,’ says Kim, who now is CIO of a Midwest insurance firm.” Real person, but you don’t need to worry about getting anyone to approve your words. (Though if you’re happy with full name, company, and role, I’m even happier; send in a private message if you prefer.)

      I used an ancient example above, but I’m hoping for more recent database performance stories. Ideally some of the “here’s how we fixed it” become practical suggestions for developers who are enduring such a situation today.

      8 votes
    2. What are the main considerations/downsides to make before adding an index to a column

      I was asked this question in an interview and I said the downsides would be extra disk space used to store it and more disk writes from the database to maintain the index on updates. I asked a...

      I was asked this question in an interview and I said the downsides would be extra disk space used to store it and more disk writes from the database to maintain the index on updates. I asked a friend and he said the downsides are space used in memory to store the index as well as the fact that an index could take days to build on a large dataset.

      What does everyone here think about this question?

      8 votes