TN Patriot wrote:
So yes, there does seem to be a bug with opening and saving large files.
No. Large files, in general, open and save with similar performance in
3.x and 4.0.1, or are opened by 4.0.1 faster than 3.x.
But there are a few problematic files, like the one discussed in issue
123
Hi,
and once it is loaded you save it using "Save As...". Loading this file
containing the "repaired" structure loads in an acceptable amount of time.
btw. the file referenced in
https://issues.apache.org/ooo/show_bug.cgi?id=123457 is really a beast...
Kind regards, Joost
Am 20.10.2013 10
On 10/19/2013 7:46 AM, Henry Bohné wrote:
I recently upgraded from ver3.3 to ver 4.0.
I work with a big (2.2 MB) text file. With ver3.3 it took 5 to 9 minutes to
save the file, with ver4.0 it takes 29 minutes.
How can I speed it up?
I'm using Windows 7 as OS
Henry Bohné
I would rather think this file has large images that could be re-rendered or
externally linked. If its a huge spreadsheet probably transfer to a database.
--
Sent from my Nokia N900
On Sun Oct 20 08:41:02 2013 John Meyer wrote:
> On 10/19/2013 7:46 AM, Henry Bohné wrote:
> > I recently upgrade
On 10/20/2013 7:50 AM, Alexandro Colorado wrote:
I would rather think this file has large images that could be re-rendered or
externally linked. If its a huge spreadsheet probably transfer to a database.
In a text file?
-
T
Relevant tables and fields:
Agents
TSR Varchar(6)
Sales
SalesRep Varchar(6)
neither is a primary key (I'm having problems converting it to a primary
key when I import the data from a spread sheet).
I want to find out how many sales each agent got.
Statement:
SELECT "Agents"."TSR", "Age
Semi-solved, I think.
I managed to join the following:
SELECT "AGENTS"."AGENT_ID", COUNT(*) AS "Total Sales" FROM "AGENTS"
INNER JOIN "SALES" ON "AGENTS"."AGENT_ID"="SALES"."SALES_REP" GROUP BY
"AGENTS"."AGENT_ID"
The only problem is I can't seem to add the agent's name.
-
On 10/20/2013 1:14 PM, John Meyer wrote:
Semi-solved, I think.
I managed to join the following:
SELECT "AGENTS"."AGENT_ID", COUNT(*) AS "Total Sales" FROM "AGENTS"
INNER JOIN "SALES" ON "AGENTS"."AGENT_ID"="SALES"."SALES_REP" GROUP BY
"AGENTS"."AGENT_ID"
The only problem is I can't seem to
Hi
I googled a bit but found no solution to the problem
of rotating a table such that
| 1 | 2 | 3 |
| 4 | 3 | 4 |
becomes
| 4 | 1 |
| 3 | 2 |
| 4 | 3 |
Thanks
Uwe Brauer
-
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At 21:54 20/10/2013 +0200, Uwe Brauer wrote:
I googled a bit but found no solution to the problem of rotating a
table such that
| 1 | 2 | 3 |
| 4 | 3 | 4 |
becomes
| 4 | 1 |
| 3 | 2 |
| 4 | 3 |
Do you mean a table in a text (Writer) document?
o Copy the table.
o Paste into a spreadsheet (Cal
On Sun, 20 Oct 2013 19:54:16 -, Uwe Brauer wrote:
I googled a bit but found no solution to the problem
of rotating a table such that
| 1 | 2 | 3 |
| 4 | 3 | 4 |
becomes
| 4 | 1 |
| 3 | 2 |
| 4 | 3 |
first, invert the range vertically, e.g. by adding the column with consecutive
numbers t
On 10/20/2013 1:54 PM, Uwe Brauer wrote:
Hi
I googled a bit but found no solution to the problem
of rotating a table such that
| 1 | 2 | 3 |
| 4 | 3 | 4 |
becomes
| 4 | 1 |
| 3 | 2 |
| 4 | 3 |
Thanks
Uwe Brauer
http://wiki.openoffice.org/wiki/Documentation/How_Tos/Calc:_TRANSPOSE_funct
On Sun, 20 Oct 2013 19:54:16 -, Uwe Brauer wrote:
I googled a bit but found no solution to the problem
of rotating a table such that
| 1 | 2 | 3 |
| 4 | 3 | 4 |
becomes
| 4 | 1 |
| 3 | 2 |
| 4 | 3 |
first, invert the range vertically, e.g. by adding the column with consecutive
numbers t
I like to be in contact with those knowing Polish and Esperanto and the
ethnic Kashubian language.
I am a professional translator for several languages and like to work at
the translation of Open Office into the international language Esperanto. I'm
also the owner of Familia Publishers
Hi Andreo, please subscribe to our l10n mailing list and forward your
message, we have a lot of instructions regarding establishing new language
projects, and others. you will need to request your credentials to our
systems like pootle and others.
Also please read our translation introductory modul
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