Annyce Davis

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Monitor Hibernate Cache Statistics in Grails Application

March 18, 2010 by Annyce Davis

After going through the effort of adding cache:true all over your application to take advantage of the Hibernate caching you will want to monitor the results. In order to do so you only need to modify two files, DataSource.groovy and a desired Controller.

//In your DataSource.groovy
hibernate {
generate_statistics=true
}

//In your Controller
def sessionFactory

def showCacheStatistics = {
def statistics = sessionFactory.statistics
log.info(statistics)
render statistics
}

Here is the output of calling the showCacheStatistics method on your controller:
Statistics[start time=1269058393252,sessions opened=27,sessions closed=25,transactions=18,successful transactions=3,optimistic lock failures=0,flushes=21,connections obtained=15,statements prepared=219,statements closed=219,second level cache puts=45,second level cache hits=1,second level cache misses=0,entities loaded=40,entities updated=5,entities inserted=48,entities deleted=0,entities fetched=26,collections loaded=20,collections updated=0,collections removed=0,collections recreated=12,collections fetched=18,queries executed to database=93,query cache puts=6,query cache hits=8,query cache misses=6,max query time=89]

Currently I’m showing just a direct rendering of the statistics object, but you could specify which parameters are important to you and only show those, or perhaps send the data to a gsp file and have it formatted in some way.

Improve Performance of Grails Queries in MySQL

January 19, 2010 by Annyce Davis

A web application that I was developing would become extremely slow as the number of requests increased per minute. I couldn’t figure out why because with my local database everything seemed fine. Here is the process that I used in MySQL to determine the bottleneck in my database. The final problem was a missing index on a table that was used in the where clause of a select statement over and over again. I included a snapshot the MySQL Process list at the end of the post. Hope this helps someone.

Steps to Follow:

  • show full processlist;
    • shows each database connection that has been allocated for your database
    • contains the time a connection has been Sleep
    • contains how long a Query is taking to execute, you want this to be less than a second ideally
  • describe <query>;
    • this gives you the database’s plan for executing the query
    • you want the number of rows that will be looked at to be as small as possible
  • show index from <table>;
    • this will list all indices contained on a table
    • this is a quick way to discover if you are missing a key index that could improve query performance
  • create index <tablename_fieldname_idx> on <table>(field);
    • this will add a new index to a table

Mocking Hibernate Criteria in Grails App

January 14, 2010 by Annyce Davis

Testing is always a sore spot in many applications, and Grails is no exception, but mocking objects and methods is actually not as bad as you think. Here is a simple way to mock the Hibernate Criteria object that is available from Grails domain classes.

Example:
If this is the code that you want to test, and for this particular test you want to have no results, this how you would mock it out.

Code:

Test Code:

The key piece of code is the creation of the bookCriteria object, in this case it is a member of the test class that is why it is not declared locally in the function. However, you will notice that the bookCriteria is simply a HashMap that returns a empty list for the ‘list’ parameter. This way when testing ‘c.list’ a empty list will be returned. Simple hunh!

top Command Line Tool

January 13, 2010 by Annyce Davis

Recently I have been introduced to the top command line tool. This tool is very useful in viewing the top processes running on a machine and their CPU and Memory usage. I have included a screen shot of the top command’s output.

Some useful options are the i option which allows you to toggle back and forth between viewing and not viewing idle processes.

And the M option which allows you to sort the processes by memory usage.

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