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More commonly, for an enterprise application, all the dates needed may be within 5 or 10 years, that's about 2,000 to 4,000 dates.

If there are only 100 data records for one day I need to fetch from file or DB, 99% of the CPU time used on parsing dates and create date objects are not necessary.

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As a business owner, you may want a technology that will last for many years beyond the project's inception.

As a developer, you want a technology that will stay around long enough, so you can get a return on investment.

The questions are subjective, and I realise that architectural setup (EC2 vs standalone servers etc) makes a big difference but I'd like to hear what people think about Ruby being slow.

Complex Rails request can allocate hundreds or even thousands of megabytes of memory, making GC runs dozens of times. GC gets triggered within malloc, so methods doing a lot allocations are also likely to trigger GC.

After loading data from csv file in to a ruby array, the most inefficient part is parse those 360,000 date formatted string objects into date objects. There are some question about the most efficient way of parsing string into date in SO.

But most of them are out of date, and none of them considered this situation that there are only 5 date objects really should be parsed among all those 360,000 records.

Speedshop is a Ruby on Rails performance consultancy that optimizes the full stack - frontend, backend and environment - to generate revenue and cut scaling costs for businesses on Rails. I'm a contributor to several open source projects, such as Ruby on Rails and Sentry.

It's not uncommon for Speedshop clients to halve their server costs and improve perceived load times by 300%. I've given talks at NYC.rb, GORUCO, Rubyconf and Railsconf.

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