Difference between revisions of "Gramps Performance"

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(Dataset summaries)
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|[http://www.gramps-project.org/files/stresstestdata/places.gramps places.gramps]
|[http://www.gramps-project.org/files/stresstestdata/places.gramps places.gramps]
| 2.5MB  
| 2.5MB  
| 2132
| 65598 place objects
|Testing only, no sharing, no publication (65598 place objects)
|Testing only, no sharing, no publication

Revision as of 13:45, 9 September 2011

Comparison of performance on large datasets between different GRAMPS versions

Performance tests

It is important that GRAMPS performs well on datasets in the 10k to 30k range. A good benchmark is to test GRAMPS on a 100k range dataset, and keep track of performance with every new version.

Furthermore, this page can serve as proof to users that the present version of GRAMPS is not slow. From version 2.2.5 onwards, special attention will be given to performance, so that it does not deteriorate due to changes.

If you want to work with a large database, read Tips for large databases.

General setup

Comparison should be with equal hardware, and on the same datasets to be fair. Optimal representation may be chosen, so for GRAMPS, tests are done in the native database format, called GRAMPS GRDB format.

Should somebody want to publish results of commercial software under windows, this is allowed, but should be fair: same hardware and dataset, so test on a dual-boot machine, and use the internal format of the program.

A table with datasets is given. Pay attention to the copyright

The second table is a table with hardware configuration. Add your machine to this list if you do some tests and want to add them to this article.

The third table gives the test results, which are subjective. Please, don't use other software while doing the tests.

The Test Results

Genealogical datasets

Private datasets will not be shared under any reason. Free datasets are given under the following copyright: use for testing of genealogical programs only, no publication, no sharing. They have been created with free information on the net of which the users explicitly state it can be used freely. Should you however feel certain data is misplaced, or the original author does not have the right to distribute the data, please contact us to remove any information necessary.


  • My computer hangs on open, eating memory? These are LARGE datasets, so do NOT open them directly. For GRAMPS open them as follows: create a new Family Tree. Open it and go to the import menu and import the dataset.
  • What is tar.bz? This is a compression format. You must uncompress the file before importing it
  • Can you provide the GEDCOM? No. Offering GEDCOM has the danger of attracting to much traffic to this site. If you need GEDCOM, you should install GRAMPS, import the dataset, and then choose "Export to GEDCOM".
  • What is in these files? See summary at the bottom of this page.

Code name Download size People Size Copyright
d01 Doug's test GEDCOM - 100993 32MB Private
d02 testdb80000 11.2MB 82688 70MB Testing only, no sharing, no publication *** NOTE: THIS FILE IS MISSING. IF ANYONE HAS A COPY, PLEASE CONTACT nick@gramps-project.org ***
d03 testdb120000 14.8MB 124032 88 MB Testing only, no sharing, no publication
d03_alternate test_2011-09-07.gramps 11.9MB 124032 88.4MB Testing only, no sharing, no publication (d03 for Gramps 3.3.x)
d04 Jean-Raymond's test GEDCOM french forum - 52699 13.6MB Private
d05 places.gramps 2.5MB 65598 place objects 15.3MB Testing only, no sharing, no publication

Hardware configurations

Code Processor clock RAM OS User
H01 Pentium 4 2.66 GHz 512 MB Linux  ?
H02  ? 1.7 GHz 512 MB Linux  ?
H03 AMD Athlon64 X2 2x2.1 GHz 1 GB Kubuntu 6.06  ?
H04 Intel Centrino Duo 2x1.66 GHz 2 GB Ubuntu 9.04 User:Duncan
H05 Intel Centrino Duo 2x1.66 GHz 2 GB Ubuntu 8.10 User:Duncan
H06 AMD Phenom 9500 Quad Core 2.2 GHz 3GB Windows Vista Jean-Raymond Floquet
H07 Intel Pentium 4 2.80 GHz 512 MB * Ubuntu 9.04 User:Romjerome
H08 Intel Celeron Dual Core 2.60 GHz 2 GB Ubuntu 10.04 User:Romjerome

(*) + 80MB of swap used on import

Tests table

Code test
T01 Time to import GEDCOM/GRAMPS in empty native file format (GRDB)
T02 Size native file format (GRDB)
T03 Time to open native file format (GRDB) for clean/nonclean start on people view (*)
T04 Time to open edit person dialog
T05 Time to delete/undelete person
T06 Open event view clean/after T03 (*)
T07 Sort on date in event view
T08 Overal editing responsiveness

(*) clean start means computer restart (so also python methods/modules must be loaded and started). Non clean means you have opened GRAMPS with .grdb file before, and open it again. Parts will be still in memory and access will be faster, as well as python being in memory.

Performance results

General remark: tests are done with in GRAMPS preferences: transactions enabled, unless indicated otherwise with notrans. This gives a performance boost. For safety: only change this setting on an empty database -- you are warned!

Comp GRAMPS data T01 T02
H03 2.2.4 notrans d01 (xml) 2h 542.6MB (v11)
H03 2.2.4 d01 (xml) 24 min 544.5MB
H03 2.2.4 d02 (xml) 20 min 323MB
H03 2.2.4 d03 (xml) 25 min 527MB
H03 2.2.6 d02 (xml) 15min 332MB
H03 2.2.6 d03 (xml) 23min 528MB (v12)
H04 2.2.10 (trans?) d03 (xml) 1h:56min  ?
H05 3.0.4 d03 (xml) 1h:56min  ?
H06 3.1.2 d04 (gedcom) 8min 937MB
H07 3.1.90 - 2009-7-20 (trans?) d03 (xml) 2h:44min 2GB *
H08 3.3.0 (+ DB upgrade v13 ? + v14 + v15) d03 (xml) 1h:47min 547MB (v15)
H08 3.3.0 d03_alternate (xml) 1h:46min! 543MB (v15)

(*) 1520MB log files - 480MB tables

Comp data GRAMPS T03 T04 T05 T06 T07 T08 result
H02 d01 2.2.4 T03 = 4m17s T04 = ? T05 = ?/? T06 = ? T07 = ? T08 =
H03 d03 2.2.4 T03 = 2m37s/4m3s T04 = 3s T05 = 43s/23s T06 = 1m23s/12s T07 = 20s T08 = very bad
H03 d01 2.2.4 T03 = 2m22s/2m T04 = 3s T05 = 33s T06 = 1m9s/10s T07 = 18s T08 = very bad
H02 d01 2.2.5 T03 = 12s T04 = ? T05 = ?/? T06 = ? T07 = ? T08 =
H03 d03 2.2.6 T03 = /17s T04 = 1s T05 = 20s/18s T06 = ?/9s T07 = 21s T08 = Excellent
H03 d02 2.2.6 T03 = ?/24s T04 = 1s T05 = 17s/13s T06 = ?/11s T07 = 17s T08 = Excellent
H05 d03 2.2.10 T03 = 1m15s/16s T04 = 1s T05 = 16s/13s T06 = 11s/1s T07 = 26s T08 = good after loading each view once
H06 d04 3.1.2 T03 = 1m30/? T04 = 10s T05 = ?/? T06 = ? T07 = 19s T08 = 11s not bad
H07 d03 3.1.90 2009-7-20 Cannot allocate memory (also python-2.6) T04 = \ T05 = \ T06 = \ T07 = \ T08 = size limitation on 3.0.x, 3.1.x and trunk ...
H08 d03 3.3.0 T03 = 16s (flat) / 30s (tree) T04 = 1s T05 = 1s/1s T06 = 15s T07 = 30s T08 = 1s Excellent
? db version T03 = ?/? T04 = ? T05 = ?/? T06 = ? T07 = ? T08 = description

Dataset summaries

For every test dataset, create a summary with Report:

Summary of the database
Summary of database test d01
Number of individuals: 100993
Males: 53046
Females: 47947
Individuals with incomplete names: 324
Individuals missing birth dates: 42726
Disconnected individuals: 19
Number of families: 36554
Unique surnames: 15308

Summary of database test d02
Number of individuals: 82688
Males: 44736
Females: 37952
Individuals with incomplete names: 17120
Individuals missing birth dates: 31528
Disconnected individuals: 880
Number of families: 32256
Unique surnames: 13957

Summary of database test d03
Number of individuals: 124032
Males: 67104
Females: 56928
Individuals with incomplete names: 25680
Individuals missing birth dates: 47292
Disconnected individuals: 1320
Number of families: 48384
Unique surnames: 20695

Summary of database test d04
Number of individuals: 52699
Males: 26420
Females: 26279
Individuals with incomplete names: 2
Individuals missing birth dates: 16427
Disconnected individuals: 0
Number of families: 24604
Unique surnames: 5822

Summary of database test d05
Number of individuals:   2132
Number of families:       749
Number of events:        4981
Number of places:       65598
Number of sources:          9
Number of media paths:      7
Number of repositories:     5
Number of notes:         1509

Possible Future Optimizations

One can fine tune some things to obtain better results. An overview.

See if GRAMPS can pass this: