CVS log for ports/databases/wfb2sql/distinfo
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Request diff between arbitrary revisions
Keyword substitution: kv
Default branch: MAIN
Revision 1.5: download - view: text, markup, annotated - select for diffs
Sun Mar 20 12:48:09 2011 UTC (10 months, 3 weeks ago) by miwi
Branches: MAIN
CVS tags: RELEASE_9_0_0, HEAD
Diff to: previous 1.4: preferred, colored
Changes since revision 1.4: +0 -1 lines
- Get Rid MD5 support
Revision 1.4: download - view: text, markup, annotated - select for diffs
Sun Dec 3 23:54:40 2006 UTC (5 years, 2 months ago) by pav
Branches: MAIN
CVS tags: RELEASE_8_2_0, RELEASE_8_1_0, RELEASE_8_0_0, RELEASE_7_4_0, RELEASE_7_3_0, RELEASE_7_2_0, RELEASE_7_1_0, RELEASE_7_0_0, RELEASE_6_EOL, RELEASE_6_4_0, RELEASE_6_3_0, RELEASE_5_EOL, RELEASE_4_EOL, PRE_XORG_7
Diff to: previous 1.3: preferred, colored
Changes since revision 1.3: +3 -3 lines
- Update to 0.6 PR: ports/102875 Submitted by: chinsan <chinsan.tw@gmail.com> Approved by: maintainer timeout (seanc; 3 months)
Revision 1.3: download - view: text, markup, annotated - select for diffs
Sun Jan 22 08:23:40 2006 UTC (6 years ago) by edwin
Branches: MAIN
CVS tags: RELEASE_6_2_0, RELEASE_6_1_0, RELEASE_5_5_0
Diff to: previous 1.2: preferred, colored
Changes since revision 1.2: +1 -0 lines
SHA256ify Approved by: krion@
Revision 1.2: download - view: text, markup, annotated - select for diffs
Wed Mar 31 03:06:45 2004 UTC (7 years, 10 months ago) by trevor
Branches: MAIN
CVS tags: RELEASE_6_0_0, RELEASE_5_4_0, RELEASE_5_3_0, RELEASE_4_11_0, RELEASE_4_10_0
Diff to: previous 1.1: preferred, colored
Changes since revision 1.1: +1 -0 lines
SIZEify (maintainer timeout)
Revision 1.1: download - view: text, markup, annotated - select for diffs
Thu Aug 21 09:32:49 2003 UTC (8 years, 5 months ago) by seanc
Branches: MAIN
CVS tags: RELEASE_5_2_1, RELEASE_5_2_0, RELEASE_4_9_0
Add nifty little script that parses the CIA's World Factbook and converts it into SQL for PostgreSQL, DB2, or MySQL. Includes referential constraints for PostgreSQL and DB2. Useful for those wanting to populate a database with dummy data that isn't completely fake or people who make frequent use of the data.
