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Solved – thanks again, Abhishek!
Just a reminder that both still exist – #2 still occurs on Windows 10. If I have an explorer window open and focused for example, and click my SQLYog shortcut on the taskbar, SQLYog is displayed directly behind that window.
Thanks – I just sent you an email!
I wonder if it could besome memory exhaustion on the server causing swapping or some user quota being exceeded.. Please try to reduce the CHUNK setting – refer http://faq.webyog.com/content/24/101/en/about-chunks-and-bulks.html
Actually it turned out that raising the CHUNK setting is the solution. Queries using LIMIT [offset], [count] get progressively slower as [offset] increases. Larger CHUNKs means less searching, means faster execution.
And when I say faster, I mean faster – where the original attempt with CHUNK=25 took almost 14 hours, a test today with CHUNK=10000 dumped the same database (resulting in a 1.25GB .sql-file) in a mere 14 minutes (!).
So, as far as I’m concerned: problem solved. Still a little puzzled why no one said “Oh, that’s easy – just increase CHUNK!”
Tried both repair and optimize on myisam and innodb tables, to no avail. Email sent!
Yes, I’d be happy to. Next tuesday, wednesday and thursday afternoons (CET) would be fine, so just let me know.
Hmm…another table containing 850K rows and a spatial column slows down even faster, making it practically impossible to download – I guesstimate that that one would take more than 24 hours.
Yes, I experience this on all servers I work with – therefore I suspect it’s not a server issue. edit: it even happens when I dump the same table from my local MySQL database, so it’s also not network-related.
Additional info – as I was curious I let it run: SQLYog memory usage remained a very decent 50MB (out of 16G:cool: and CPU usage was next to 0%. The entire database was dumped in 13,5 hours with this one table accounting for 13,25 hours. After that table was finally done, the next ones were dumped with the same speed as one would expect, so it’s a per-table and not a per-connection performance issue.
2. If that were the case I’d have known, but it happens consistently. Even when I start SQLYog and do nothing while I wait for it to appear. It looks lke the restore session window is being treated as the main window and the actual application gets pushed to the back or something. Running on Windows 7 by the way.
Hmm…I just backed up all my databases, resulting in completely comparable .sql files as the SQL dump option generates, and that took a little over 2 minutes for 36 databases in 330MB worth of SQL. I used the default settings, including “Get server default” for BULK and “Don't break up in chunks”. This backup includes the aforementioned table, however a modified version with only 650K rows.
Is that a completely different method of generating the SQL?
Okay, I'll see if I can upgrade without losing all my databases… 😉
I thought it was a more or less known issue, but now it looks like it's not. Luckily I don't have to export these tables very often, so in a wost case scenario I might just have to learn and live with it. At least the dump isn't slowing my system down, so I can just let it run in the background.
Thanks for now, and if I find anything, I'll be sure to post it here!
I'm using 64 bit MySQL version 5.5.15. If there's anything you'd like me to test, I'd be more than happy to, of course.
MySQL is version 5.5, and the relevant entries in the INI are these (probably all default):
#*** INNODB Specific options ***
As I said it's not a server, it's my workstation this is happening on. So no tunneling required (I don't ever use that anyway).
Sending an example dump qould require another 4 hours, so I'm not that keen on doing that. The table looks like below, and contains 4.8 million rows. Nothing fancy.
CREATE TABLE `vertices` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`areaid` int(11) DEFAULT NULL,
`sortorder` int(11) DEFAULT NULL,
`y` decimal(12,9) DEFAULT NULL,
`x` decimal(12,9) DEFAULT NULL,
PRIMARY KEY (`id`),
KEY `areaid` (`areaid`)
1) yes, otherwise the first rows would be just as slow. Its running on my hex-core desktop PC with 16GB memory, so that should be fine.
2) BULK is 'server default', and CHUNK is 1000 rows
3) I didn't check it at the start, but right now it's at 16MB, so nothing spectacular there