Hi Joran,

We are facing a similar performance problem as your million-entry-object.

May I ask you to explain a bit detail about the implementation of ”Buffer
backed open addressed hash table “

Many thanks,

ty


2012/7/13 Joran Greef <[email protected]>

> To get a very rough idea of how much time your program spends in gc, you
> can expose the gc by running node with the --nouse_idle_notification
> --expose_gc flags and then call gc manually with "global.gc()" and time how
> long that takes.
>
> I have a program where a single JS object was being used as a hash table
> with a few million entries. When the gc would run, as far as I am aware, it
> would iterate over every one of those entries and it would do this every
> few seconds, each time pausing for about 500ms. I switched to a Buffer
> backed open addressed hash table which is also more efficient in other
> respects.
>
>
> On Friday, July 13, 2012 3:10:50 AM UTC+2, Alexey Petrushin wrote:
>>
>> There are rumors that current Node.js (or, more exactly V8 GC) performs
>> badly when there are lots of JS objects and memory used.
>>
>> Can You please explain what exatly is the problem - lots of objects or
>> lots of properties on one object (or array)?
>>
>> Maybe there are some benchmarks, would be interesting to see actual code
>> and numbers.
>>
>> As far as I know the main problem - lots of properties on one object, not
>> lots of objects itself (although I'm not sure). If so - would be the
>> in-memory graph database (about couple of hundreds of properties on each
>> node at max) a good case?
>>
>> Also I heard that latest versions of V8 has improved GC and that it
>> solved some parts of this problems - is this true, and when it will be
>> available in Node.js?
>>
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