Checking the alert log – the easy way

Do you check the alert log of your databases every day? In the morning when you get in? But what about the alerts which happen during the day? How do you spot them – especially if you don’t have Grid Control or Cloud Control configured. Even if you do have a full monitoring solution, this can be useful for a belt-and-braces approach.

Here’s a short bash shell script to use adrci to read through each ORACLE_HOME (for a DIAG location) and check every alert log contained therein, using adrci pattern matching functionality to search for problems. I usually schedule it within each host (using cron) to minimise the moving parts, and therefore minimise the opportunity for it to stop working. Any problems, and I get an email. I hope you find it useful. I usually keep it in /opt/oracle/bin, but you stick it in your script home of choice.

This should work for 11G and 12C database (tested to 12.1.0.2), unless I’ve made a cut/paste error 🙂

#!/bin/bash
#########################################################################################
# Description: Read each Oracle Home directory. Run adrci matching for problems
# Author : N Chandler.2014-03-28
#
# crontab : # Check Alert Log 30.03.2014
# 00,30 * * * * /opt/oracle/bin/adrci_alert.sh > /opt/oracle/bin/log/adrci.cron.log 2>&1
#
#########################################################################################
# Which HOME?
 export ORACLE_HOME=/opt/app/oracle/product/11g
 export DIAG_LOC=/opt/app/oracle/diag/rdbms
# Who gets the alert?
 export RECIPIENT='neil@chandler.uk.com'
# Other Variables
 export LD_LIBRARY_PATH=$ORACLE_HOME/lib
 export HOST=`hostname`
 export PATH=$ORACLE_HOME/bin:$PATH
 export NLS_DATE_FORMAT='yyyy-mm-dd hh24:mi:ss'
 export SUBJECT="Oracle ALERTS on ${HOST} OK"
 export LOG=/tmp
 export ALERT=$LOG/error.txt

# Write the alert log message header for the email
 echo "${HOST} `date +%Y-%m-%d.%H:%M:%S-%Z`" > ${ALERT}
 echo "All alerts in ADRCI Alert log for the last 30 minutes" >> ${ALERT}
 echo "THIS ALERT WILL NOT BE REPEATED!!! TAKE ACTION NOW!!!" >> ${ALERT}
 echo "Follow-up on this email and check the alert log on ${HOST}" >> ${ALERT}

# find out the homes
 adrci_homes=( $(adrci exec="show homes" | grep -e rdbms -e asm))

# run through Each home found and examine the alert log
# Here we are looking for ORA- messges, Deadlock, anything which raises an incident or anything which is instance-level
# IN THE LAST 30 MINUTES (1/48), so we need to run this code every 30 minutes or we may miss something. 
 for adrci_home in ${adrci_homes[@]}
 do
   echo "Checking: ${adrci_home}" >> ${ALERT}
   echo $adrci_home' Alert Log' >> ${ALERT}
   adrci exec="set home ${adrci_home} ; show alert -p \\\"(message_text like '%ORA-%' or message_text like '%Deadlock%' or message_text like '%instance%' or message_text like '%incident%') and originating_timestamp>=systimestamp-(1/48) \\\"" -term >>${ALERT}
 done
# count the errors. This is a good place to exclude specific errors you wish to ignore with a -v match.
# note - your grep must be aligned with the pattern match above for this to work
num_errors=`grep -c -e 'TNS' -e 'ORA' -e 'Deadlock' -e 'instance' -e 'incident' ${ALERT} | grep -v 'ORA-28'`

# If there are any errors, lets email the alert information to someone
if [ $num_errors -gt 0 ]
then
  SUBJECT="ERROR in Oracle ALERT log on ${HOST}"
  mail -s "${SUBJECT}" ${RECIPIENT} < ${ALERT}
fi
Advertisement

3 Responses to Checking the alert log – the easy way

  1. Martin Bach says:

    Thank you 🙂

    Like

  2. Roberto says:

    Thanks for sharing!

    Like

  3. Mikser says:

    Thank you for your work and sharing.

    Like

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s

This site uses Akismet to reduce spam. Learn how your comment data is processed.