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Groups > gnu.bash.bug > #16181
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| From | George Jones <fooologist@gmail.com> |
| Newsgroups | gnu.bash.bug |
| Subject | Re: [PATCH] Implement rehashing for associative arrays (Re: speeding up hash_search?) |
| Date | Sun, 19 Apr 2020 21:00:08 -0400 |
| Lines | 102 |
| Approved | bug-bash@gnu.org |
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| To | Koichi Murase <myoga.murase@gmail.com> |
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Thank you. Patch applied and (performance) tested with come tests I was
working on
https://github.com/eludom/snippits/tree/master/bash/tests .... bottom line:
Before:
...
lines_per_sec 993.37 LINES 2700000 ELAPSED 2718
lines_per_sec 955.95 LINES 2800000 ELAPSED 2929
lines_per_sec 921.51 LINES 2900000 ELAPSED 3147
lines_per_sec 889.41 LINES 3000000 ELAPSED 3373
lines_per_sec 859.43 LINES 3100000 ELAPSED 3607
After:
...
lines_per_sec 50000.00 LINES 2600000 ELAPSED 52
lines_per_sec 50000.00 LINES 2700000 ELAPSED 54
lines_per_sec 50000.00 LINES 2800000 ELAPSED 56
lines_per_sec 50000.00 LINES 2900000 ELAPSED 58
lines_per_sec 50000.00 LINES 3000000 ELAPSED 60
lines_per_sec 50000.00 LINES 3100000 ELAPSED 62
---George Jones
On Sun, Apr 19, 2020 at 3:52 PM Koichi Murase <myoga.murase@gmail.com>
wrote:
> 2020-04-19 23:54 George Jones <fooologist@gmail.com>:
> > It looks like hash_search just does a linear walk if array entries
> > to find elements in a list.
>
> https://eludom.github.io/blog/20200418/
> > and there it is, the linear search walking the list in hash_search()
> >
> > ```
> > [...]
> >
> > bucket = HASH_BUCKET (string, table, hv);
> >
> > for (list = table->bucket_array ? table->bucket_array[bucket] : 0;
> list; list = list->next)
> > {
> > [...]
> > ```
>
> The associative arrays in `hashlib.c' are implemented by hash tables
> as is clear from its name. The main lookup of hash table algorithm is
> done by the following line
>
> bucket = HASH_BUCKET (string, table, hv);
>
> but not by the subsequent linear search. The linear search is just a
> workaround for the collision of hashes. As far as the load factor of
> the hash table is maintained properly, the linear search is O(1)
> because the length of the list is O(1).
>
> 2020-04-19 23:54 George Jones <fooologist@gmail.com>:
> > This slows down (order N?) new inserts when the number of entries
> > gets large.
>
> I looked into `hashlib.c' and found that rehashing is actually not
> implemented. I just added a function to perform rehashing, and
> the performance has been improved.
>
> > Would there be any interest in merging a patch to add an option for
> > making this faster (maybe using b-trees?)
>
> https://eludom.github.io/blog/20200418/
> > TODO Look for appropriate in-memory hash insert/lookup functions
> > - btrees ?
>
> The B-tree is not the most appropriate option here. The hash table is
> more appropriate. The B-tree can be used in the case that we want to
> keep the ordering of the keys of associative arrays (e.g. we want to
> enumerate items in ascending/descending order). Bash associative
> arrays do not ensure the ordering of the items, so the hash table can
> be used as a more efficient choice and is already implemented in
> `hashlib.c'. We can simply add rehashing.
>
> ------------------------------------------------------------------------
>
> I attach a patch `0001-hashlib-Implement-rehash.patch' which
> implements the rehashing.
>
> I also tested the performance. The attached `test1.png' shows the
> computational time of insertion of items before and after the fix.
> The lines are fitted by the function `Time = C Size^alpha' where alpha
> is the exponent. Before the fix, there are two regimes depending on
> the number of items: linear regime O(N) (alpha ~ 1) and quadratic
> regime O(N^2) (alpha ~ 2). The quadratic regime signals the linear
> scaling of a single insertion. After the fix, the prformance has been
> improved, and the computational time scales linearly in entire region.
> I also attach a script `test1.sh' which was used to measure the time.
>
> --
> Koichi
>
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Re: [PATCH] Implement rehashing for associative arrays (Re: speeding up hash_search?) George Jones <fooologist@gmail.com> - 2020-04-19 21:00 -0400
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