| Summary: | mysql performance does not scale | ||||||
|---|---|---|---|---|---|---|---|
| Product: | OpenShift Online | Reporter: | Eric Rich <erich> | ||||
| Component: | Image | Assignee: | Paul Morie <pmorie> | ||||
| Status: | CLOSED WONTFIX | QA Contact: | libra bugs <libra-bugs> | ||||
| Severity: | medium | Docs Contact: | |||||
| Priority: | unspecified | ||||||
| Version: | 2.x | CC: | dmcphers, erich | ||||
| Target Milestone: | --- | Keywords: | UpcomingRelease | ||||
| Target Release: | --- | ||||||
| Hardware: | Unspecified | ||||||
| OS: | Unspecified | ||||||
| Whiteboard: | |||||||
| Fixed In Version: | Doc Type: | Bug Fix | |||||
| Doc Text: | Story Points: | --- | |||||
| Clone Of: | Environment: | ||||||
| Last Closed: | 2013-11-18 22:46:25 UTC | Type: | Bug | ||||
| Regression: | --- | Mount Type: | --- | ||||
| Documentation: | --- | CRM: | |||||
| Verified Versions: | Category: | --- | |||||
| oVirt Team: | --- | RHEL 7.3 requirements from Atomic Host: | |||||
| Cloudforms Team: | --- | Target Upstream Version: | |||||
| Attachments: |
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All I was able to get data from the customer regarding this and if I review (average the times) for sequential calls vs threaded calls the results are roughly the same.
14:28:12 erich@fenrir:~/Downloads/run2
$ --> awk '{ total += $2; count++ } END { print total/count }' baseline_data.dat
0.014702
14:28:29 erich@fenrir:~/Downloads/run2
$ --> awk '{ total += $2; count++ } END { print total/count }' baseline-2_data.dat
0.0835006
14:28:35 erich@fenrir:~/Downloads/run2
$ --> awk '{ total += $2; count++ } END { print total/count }' sql1_data.dat
0.213246
14:29:08 erich@fenrir:~/Downloads/run2
$ --> awk '{ total += $2; count++ } END { print total/count }' sql1-2_data.dat
0.228275
14:29:12 erich@fenrir:~/Downloads/run2
$ --> awk '{ total += $2; count++ } END { print total/count }' sql2_data.dat
0.203016
14:29:29 erich@fenrir:~/Downloads/run2
$ --> awk '{ total += $2; count++ } END { print total/count }' sql2-2_data.dat
0.207391
14:29:36 erich@fenrir:~/Downloads/run2
$ --> awk '{ total += $2; count++ } END { print total/count }' sql3_data.dat
0.110054
14:29:43 erich@fenrir:~/Downloads/run2
$ --> awk '{ total += $2; count++ } END { print total/count }' sql3-2_data.dat
0.110654
This to me points to an issue with the sql queries and not with OpenShift, can engineering confirm.
Created attachment 820700 [details]
Data set
Data set for review (run 1 is thought to be a bad collection).
We will need to see the select plan for the queries the customer is using. |
Description of problem: When making calls to a mysql gear (using php, as an example) the calls or connections to provide adequate performance when threaded. How reproducible: PHP SCRIPT: <?php // Create connection $dns = '127.10.1.2'; $port = '3306'; $user = 'admin8gNAWKu'; $pass = 'FqWI5TxtkYw8'; $db = 'mysql'; echo "DNS='$dns', PORT='$port', USER='$user', PASS='$pass', DB='$db' \n"; echo "Testing connection..."; $start = microtime(true); $mysqli = new mysqli($dns, $user, $pass, $db, $port); // $con=mysqli_connect($dns,$user,$pass,$db,$port); // Check connection if ($mysqli->connect_errno) { echo "Failed to connect to MySQL: " . mysqli_connect_error(); } else { echo "Connected!"; } echo $mysqli->host_info . "\n"; $result = $mysqli->query("SELECT COUNT(*) FROM user"); while ($row = $result->fetch_assoc()) { echo " id = " . $row["COUNT(*)"] . "\n"; } $time_taken = microtime(true) - $start; echo $time_taken; ?> Steps to Reproduce: 1. rhc app create bench php-5.3 mysql-5.1 2. Copy code (script above) into gear - I ssh in, create a file in app-root/data/ and copy its contents into that file. 3. Average the time against sequential calls vs threaded calls. - Sequential: for x in $(seq 1 2); do php -f test.php; done | grep TIME | awk '{ total += $2; count++ } END { print total/count }' - Threaded: for x in $(seq 1 2); do php -f test.php & done | grep TIME | awk '{ total += $2; count++ } END { print total/count }' You will see that by treading the calls (or backgrounding each test) they queue up and cause performance issues to be noticed. This is likely caused by queuing of the database connections. Are there any best practices for avoiding this, or things that can be done to improve the databases performance in threaded scenarios.