I thought that a short guide might be useful to illustrate the results.
As a further task I will later look at --compatible option of mysqldump to see how postgres likes the results (a follow up post perhaps so see parts 2 and 3)
( If you came here just looking to getting data out of oocalc then into mysql, please shuffle along to paragraphs 11 to 13 where this is demonstrated )
There are projects out there to take mysql data into postgres, and vice versa and it will be a useful skill to have.
After reading up about freely available sample data for names and addresses and seeing if I might use any openoffice sample data, I decided on a slightly different tack.
It seems that most 'free' sample data has some sort of copyright restriction but there is plenty that is licensed under creative commons attribution or similar.
Reading up about AMD phenom processors earlier today I viewed the wikipedia table regarding socket am3 power usage and thought that this table of data when pasted into a spreadsheet is as good as any.
(For any reader who cannot get to spreadsheets.google.com or experiences an unexpected 'login to google' prompt, I have mirrored the spreadsheet in open document .ods format here)
It is right at this point to highlight again that any and all power usage data referenced in this blog posting directly/as xml/as a spreadsheet is not my data and I correctly credit Wikipedia explicitly as the source.
In the spreadsheet viewable at google docs I have added two comments to this effect.
Now to do something useful with it - firstly export it to .csv format by following instructions for openoffice calc csv export.
Now looking at the options for mysqlimport:
--fields-terminated-by Is how you will tell mysql that data is comma separated
--fields-optionally-enclosed-by Will be how I tell mysql that double quotes enclose filled fields.
Now openoffice calc (oocalc) export to/save as CSV does not wrap empty fields in double quotes, and so, a six field row with just first and last fields populated might just look like this "rhubarb",,,,,"custard"
Mysql is not going to like the series of commas without field delimiters and so in particular ,,,, will be a problem unless the word optionally in --fields-optionally-enclosed-by will come to my rescue.
This still leaves the question of escaping single quotes (I think mysql wants them all escaped) and the sed command might come to my aid there.
Part 2 will deal with getting the data into mysql using mysqlimport.
I will finish this posting now with a first attempt at a mysql table create that is suitable for the data being loaded.
DROP TABLE IF EXISTS amd_bang_per_watt; SET character_set_client = utf8; CREATE TABLE amd_bang_per_watt (model_family VARCHAR(10) NOT NULL, model VARCHAR(30) NOT NULL default 'unknown', clock_speed VARCHAR(20) NOT NULL, l2cache VARCHAR(10), l3cache VARCHAR(10), ht_bus_ghz VARCHAR(10), voltage VARCHAR(10), socket VARCHAR(10), tdp_watts VARCHAR(20), process_comments VARCHAR(20), speed_power_ratio DECIMAL(5,2) COMMENT 'bang per watt' ) ENGINE=MyISAM DEFAULT CHARSET=utf8 MIN_ROWS=50 CHECKSUM=1 COMMENT='Source: Wikipedia 200907http://en.wikipedia.org/wiki/List_of_CPU_power_dissipation#AMD_Phenom_.28Phenom_64.29';So create a new mysql database and run that table create should enable you to verify the table using describe as follows:
root@d183z2g:~# mysql amd_power_dissipation -u root -p Enter password: Welcome to the MySQL monitor. Commands end with ; or \g. Your MySQL connection id is 61 Server version: 5.0.75-0ubuntu10.2 (Ubuntu) Type 'help;' or '\h' for help. Type '\c' to clear the buffer. mysql> show tables; +---------------------------------+ | Tables_in_amd_power_dissipation | +---------------------------------+ | amd_bang_per_watt | +---------------------------------+ 1 row in set (0.00 sec) mysql> describe amd_bang_per_watt; +-------------------+--------------+------+-----+---------+-------+ | Field | Type | Null | Key | Default | Extra | +-------------------+--------------+------+-----+---------+-------+ | model_family | varchar(10) | NO | | NULL | | | model | varchar(30) | NO | | unknown | | | clock_speed | varchar(20) | NO | | NULL | | | l2cache | varchar(10) | YES | | NULL | | | l3cache | varchar(10) | YES | | NULL | | | ht_bus_ghz | varchar(10) | YES | | NULL | | | voltage | varchar(10) | YES | | NULL | | | socket | varchar(10) | YES | | NULL | | | tdp_watts | varchar(20) | YES | | NULL | | | process_comments | varchar(20) | YES | | NULL | | | speed_power_ratio | decimal(5,2) | YES | | NULL | | +-------------------+--------------+------+-----+---------+-------+ 11 rows in set (0.00 sec) mysql>I have deliberately defined the final column as decimal(5,2) as I am thinking ahead to the import to postgres (much later) and want to see how postgres handles that column.
In part 2 of this posting I will attempt to bring in the power data from the .csv file and refine the mysql table create if necessary.
