|What:||Free MySQL help with Tom Hanlon, MySQL employee.
at the Boston MySQL User Group
|When:||Thursday, September 7, 2006, 7:00 PM|
|Where:||MIT Building E51, Room 372
Wadsworth and Amherst Streets
Cambridge , MA 02117
|Transportation:||1 block from Kendall Square T station;
free parking (MIT does not enforce their lot restrictions in the evenings,
so any signs except handicapped parking can safely be ignored)
|RSVP:||Free pizza and soda will be served, so please RSVP accurately.
To RSVP anonymously, go to http://www.meetup.com/login/ ,
login with the e-mail address “admin at sheeri dot com”
and the password “guest”, then click on “Add Guests”
and add 1 to the number of guests.
The September Boston MySQL User Group Meeting will feature Tom Hanlon, MySQL employee, answering questions about performance issues (or anything else). Please feel free to bring theoretical questions as well as actual issues you’ve been having.
If you have a specific question, please bring descriptions of all relevant queries, tables, data samples, etc if you have a complex question. (see ********** below for more details)
You may submit a question to firstname.lastname@example.org or just bring it to the user group meeting.
We will be meeting on MIT campus, close to the Kendall stop on the Red Line (subway). There is also plenty of free parking — you can park in ANY MIT lot after 3 pm, even if it says “parking by permit only”. We are in building E51, room 372.
Here is the URL for the MIT Map with the location of this building:
This map shows the MBTA Kendall Stop:
(the stop is in red on that map, and you can see E51 in the bottom right)
Here are the URL’s for the parking lots:
Free pizza and soda will be served, so please RSVP accurately.
To RSVP anonymously, please login to the Meetup site with the e-mail address “admin at sheeri dot com” and the password “guest”.
What to bring:
If you are submitting materials, you must submit your materials by noon the day of the user group meeting.
1) Either submit materials to Sheeri at email@example.com ahead of time or bring them on your laptop and be prepared to connect to the projector (we have the cables, just bring your laptop). Alternatively, you can make overhead projector slides and bring those.
2) Descriptions of relevant tables. Run the following for each table and bring the output:
SHOW CREATE TABLE tbl1\G
SHOW CREATE TABLE tbl2\G
3) Sample data for relevant tables. Run the following for each table and bring the output:
SELECT * FROM tbl1 ORDER BY RAND() LIMIT 5;
SELECT * FROM tbl2 ORDER BY RAND() LIMIT 5;
4) Query descriptions. Run the following for each query and bring the output:
The actual query, ie, “SELECT name FROM addresses WHERE city=’Boston’;”
The EXPLAIN output for the query, ie,
EXPLAIN SELECT name FROM addresses WHERE city='Boston';
What you expect to get (data if the issue is inaccurate results, or a time estimate if the issue is slowness)
What you actually get (data if the issue is inaccurate results, or a time estimate if the issue is slowness)