Difference between revisions of "Calc/Performance/misc"
(With integration of Chart2 the interfacing recalculation problems are gone; if there are remaining issues with Chart performance they are not part of Calc.) |
(use SUBPAGENAME in category sort key for reusability) |
||
(2 intermediate revisions by the same user not shown) | |||
Line 13: | Line 13: | ||
== threaded calculation == | == threaded calculation == | ||
− | Ideally to scale to hyper-threaded machines we need to crunch a workbook's dependency graph | + | Ideally to scale to hyper-threaded machines we need to crunch a workbook's dependency graph and then thread the calculation. |
Similarly the process of constructing a Data Pilot cache, and (subsequently) collating that data is one that is susceptible to threading. | Similarly the process of constructing a Data Pilot cache, and (subsequently) collating that data is one that is susceptible to threading. | ||
Line 19: | Line 19: | ||
− | [[Category:Calc|Performance/ | + | [[Category:Calc|Performance/{{SUBPAGENAME}}]] |
[[Category:To-Do]] | [[Category:To-Do]] | ||
[[Category:Performance]] | [[Category:Performance]] |
Latest revision as of 15:24, 6 March 2009
Miscellaneous performance optimization opportunities that don't have an own entry under Calc/To-Dos/Performance/... yet.
In-sheet objects
With a relatively modest number of in-sheet objects (which are favorite tools of complex spreadsheet creators) things become horribly slow: 30secs to load a small file with ~no data / macros & only 240 list boxes sample document.
The sheet objects need idly creating in the svx layer; also there is a floating patch to improve VCL's control management performance - wherein some of the problems lie.
Large / complex pivot sheets
The existing Data Pilot implementation doesn't have a shared normalized form of the data. (ie. with each field reduced to an ordinal, for O(1) lookup). We should implement just such a Data Pilot cache using a representation compatible with the PivotTable cache, and populatable from that on import.
threaded calculation
Ideally to scale to hyper-threaded machines we need to crunch a workbook's dependency graph and then thread the calculation.
Similarly the process of constructing a Data Pilot cache, and (subsequently) collating that data is one that is susceptible to threading.