Difference between revisions of "Google charts"

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  nohup ./apache_memory_usage_show_to_database.sh &
 
  nohup ./apache_memory_usage_show_to_database.sh &
  
6.
+
6.Wait 10 minutes or so while data is written to the database, the check whats been written :
 +
 
 +
#mysql
 +
 +
mysql> use apache_stats
 +
 +
mysql> select * from performance limit 5;
 +
 
 +
  +-------+----------+--------------+-----------------+---------------------+
 +
| index | mem_used | process_size | processors_used | date                |
 +
+-------+----------+--------------+-----------------+---------------------+
 +
|    1 |      195 |          18 |              11 | 2015-08-18 16:26:48 |
 +
|    2 |      195 |          18 |              11 | 2015-08-18 16:27:29 |
 +
|    3 |      195 |          18 |              11 | 2015-08-18 16:28:48 |
 +
|    4 |      195 |          18 |              11 | 2015-08-18 16:29:29 |
 +
|    5 |      195 |          18 |              11 | 2015-08-18 16:30:48 |
 +
+-------+----------+--------------+-----------------+---------------------+
 +
5 rows in set (0.00 sec)

Revision as of 00:05, 27 November 2015

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The instructions on this page require a basic knowledge of linux.


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Forum discussion

This how-to can be discussed on the forums here

The rational for behind this is : You have a database / source of information that you would like to graph. In this instance, I needed to see in fairly real-time, the number of http processes as well as the size of these processes.

It could be applied to a multitude of scenarios.

Getting Started

1. Find the relevant info re; http

ps -ylC httpd | awk '{x += $8;y += 1} END {print "Apache Memory Usage (MB): "x/1024; print "Average Proccess Size (MB): "x/((y-1)*1024)}' && echo -n 'current Apache Processes : ' && ps -C httpd --no-headers | wc -l

This outputs the following information;

Apache Memory Usage (MB): 1737.91
Average Proccess Size (MB): 75.5611
current Apache Processes : 23

2. Now we must create a database to hold the information -( how you name the database, table and the columns is up to you ), I'll use the following :

  • Database name : apache_stats
  • Table name : performance
  • Columns : number, mem_used, process_size, processors_used, period

the sql is below :

-- MySQL dump 10.13  Distrib 5.1.73, for redhat-linux-gnu (x86_64)
--
-- Host: localhost    Database: apache_stats
-- ------------------------------------------------------
-- Server version       5.1.73

/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8 */;
/*!40103 SET @OLD_TIME_ZONE=@@TIME_ZONE */;
/*!40103 SET TIME_ZONE='+00:00' */;
/*!40014 SET @OLD_UNIQUE_CHECKS=@@UNIQUE_CHECKS, UNIQUE_CHECKS=0 */;
/*!40014 SET @OLD_FOREIGN_KEY_CHECKS=@@FOREIGN_KEY_CHECKS, FOREIGN_KEY_CHECKS=0 */;
/*!40101 SET @OLD_SQL_MODE=@@SQL_MODE, SQL_MODE='NO_AUTO_VALUE_ON_ZERO' */;
/*!40111 SET @OLD_SQL_NOTES=@@SQL_NOTES, SQL_NOTES=0 */;

--
-- Table structure for table `performance`
--

DROP TABLE IF EXISTS `performance`;
/*!40101 SET @saved_cs_client     = @@character_set_client */;
/*!40101 SET character_set_client = utf8 */;
CREATE TABLE `performance` (
 `number` int(11) NOT NULL AUTO_INCREMENT,
 `mem_used` int(10) unsigned NOT NULL,
 `process_size` int(10) unsigned NOT NULL DEFAULT '0',
 `processors_used` int(10) unsigned NOT NULL,
 `period` datetime NOT NULL DEFAULT '0000-00-00 00:00:00',
 PRIMARY KEY (`number`),
 KEY `index` (`number`)
) ENGINE=MyISAM AUTO_INCREMENT=1 DEFAULT CHARSET=latin1;
/*!40101 SET character_set_client = @saved_cs_client */;
/*!40103 SET TIME_ZONE=@OLD_TIME_ZONE */;

/*!40101 SET SQL_MODE=@OLD_SQL_MODE */;
/*!40014 SET FOREIGN_KEY_CHECKS=@OLD_FOREIGN_KEY_CHECKS */;
/*!40014 SET UNIQUE_CHECKS=@OLD_UNIQUE_CHECKS */;
/*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;
/*!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS */;
/*!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION */;
/*!40111 SET SQL_NOTES=@OLD_SQL_NOTES */;

-- Dump completed on 2015-11-26 23:35:11

Save the above into a file called : apache_memory_usage_show_to_database.sql

3. Create the database:

#mysql  < apache_memory_usage_show_to_database.sql

Set the user access :

#mysql
mysql> GRANT ALL PRIVILEGES ON apache_stats.* TO stats@localhost IDENTIFIED BY 'Your Password';
mysql> flush privileges;


4.Prepare the collection of the relevant parameters that you want to monitor ( in this case, http stats )

create a shell script: ( apache_memory_usage_show_to_database.sh )

#/usr/bin
while true
do
LOG=outlog.txt
OUTPUT=$(ps -ylC httpd | awk '{x += $8;y += 1} END {print "Apache Memory Usage (MB): "x/1024; print ":Average Proccess Size (MB): "x/((y-1)*1024)}' && echo -n ':Apache Processes: ' && ps -C httpd --no-headers | wc -l  )
DAY=$(date +"%F"+"%T")
now=$(date +'%Y-%m-%d %H:%M:%S')

echo $OUTPUT \'$DAY\' | awk  '{print "INSERT INTO performance (mem_used, process_size, processors_used,period) VALUES  ( "$5", "$10", "$13", "$14" );"}' | mysql --user=username --password=password database_name
sleep 120
done

This script will insert the values for the http memory used , http process size, number of http processes running and the date+time into the database every 2 minutes

Make the script executable:

chmod 755 apache_memory_usage_show_to_database.sh


5. Create a method to run the script above - ( there are better ways to do this , but I've just used the following for now ):

nohup ./apache_memory_usage_show_to_database.sh &

6.Wait 10 minutes or so while data is written to the database, the check whats been written :

#mysql

mysql> use apache_stats

mysql> select * from performance limit 5;
 +-------+----------+--------------+-----------------+---------------------+
| index | mem_used | process_size | processors_used | date                |
+-------+----------+--------------+-----------------+---------------------+
|     1 |      195 |           18 |              11 | 2015-08-18 16:26:48 |
|     2 |      195 |           18 |              11 | 2015-08-18 16:27:29 |
|     3 |      195 |           18 |              11 | 2015-08-18 16:28:48 |
|     4 |      195 |           18 |              11 | 2015-08-18 16:29:29 |
|     5 |      195 |           18 |              11 | 2015-08-18 16:30:48 |
+-------+----------+--------------+-----------------+---------------------+
5 rows in set (0.00 sec)