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| author | unknown <arjen@fred.bitbike.com> | 2002-04-29 10:29:56 +1000 |
|---|---|---|
| committer | unknown <arjen@fred.bitbike.com> | 2002-04-29 10:29:56 +1000 |
| commit | 472b1c107b9c464847961f8ad2e58f4f831acb0e (patch) | |
| tree | e7eed0e9d74959d4390da7a91a542bcd8d3ac6f0 /Docs | |
| parent | 17433fc12f1a30ede9dc0be21e97a59149a7f2a6 (diff) | |
| download | mariadb-git-472b1c107b9c464847961f8ad2e58f4f831acb0e.tar.gz | |
Re-added note about R-trees in PostgreSQL (noting MySQL 4.1 support too).
Diffstat (limited to 'Docs')
| -rw-r--r-- | Docs/manual.texi | 4 |
1 files changed, 4 insertions, 0 deletions
diff --git a/Docs/manual.texi b/Docs/manual.texi index 90176ee7946..199bdebc5e5 100644 --- a/Docs/manual.texi +++ b/Docs/manual.texi @@ -4969,6 +4969,10 @@ Standard usage in PostgreSQL is closer to ANSI SQL in some cases. One can speed up PostgreSQL by coding things as stored procedures. @item +For geographical data, R-trees make PostgreSQL better than MySQL Server. +(note: MySQL version 4.1 will have R-trees for MyISAM tables). + +@item The PostgreSQL optimiser can do some optimisation that the current MySQL optimiser can't do. Most notable is doing joins when you don't have the proper keys in place and doing a join where you are using different keys |