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Working as Technical Lead in CollabNET software private limited.

Wednesday, 17 October 2012

Memory leak when reading EJB 2.1 CMP EntityBeans in JBOSS7.1.1-Final

On a recent PSR testing, we saw frequent OOME on accessing the site. Later, on investigation heap dump,we found that there are large number of objects getting created for org.jboss.invocation.interceptor[] from WeavedInterceptor and ChainedInterceptor.

Below is the screen shot of it..


Later on investigation, we found its because of the bug in JBOSS7.1.1-Final, this is due migrating EJB2.1 CMP EntityBeans to this JBOSS7.1.1-Final version.


More details on actual stack trace can be found in https://community.jboss.org/thread/198920 


We need to patch JDBCStoreManager.java for this in the jboss AS 7.1.1.

Monday, 8 October 2012

Types of SQL Joins in venn diagram

Found an interesting blog which explains about types of SQL Joins using venn diagram (http://management-platform.blogspot.co.uk/2010/01/idiot-lesson-on-types-of-sql-joins.html)


Below is the content which explains the SQL Joints.

>>
Idiot Lesson On The Types Of SQL JOINs
I'm going to take a departure from my usual topics and talk briefly about a very basic concept - SQL JOINs. I'm doing this mainly for my benefit - I wanted to write this little nugget down so I don't forget it, and what better place to do so than my blog? :)

What's the difference between INNER, LEFT and RIGHT JOINs?

It seems every so often, I forget the answer to that question - I usually get confused ("what happens if there is a null - do I get a row in my results or not?"). Now, I'm sure it is easy for most people to remember how these JOINs work, but I always seem to forget. However, recently I got a good idiot lesson from Joseph Marques on this; he gave me a very short and easy way to remember the rules of these three types of JOINs. It was such an elegant way to explain it that I promised myself I would write it down so I don't forget it, so here it goes (again, I'm sure everyone knows this, and I'm sure I was even told this myself at some point in the past, but of course, I don't remember):

    JOINs can be thought of in the context of a Venn diagram. You have two circles A and B. These circles partially overlap. (circles A and B represent your table data - when you join the two circles/tables together, the overlap represents relationships between the data.)

        The overlap is the INNER join - it contains only the elements in A that also have associated B elements.

        The A circle is the LEFT join - it contains all A elements regardless of whether they have associated B elements.

        The B circle is the RIGHT join - it contains all B elements regardless of whether they have associated A elements.

Note: A LEFT or RIGHT JOIN are OUTER JOINs - sometimes you see these specified as "LEFT OUTER JOIN" or "RIGHT OUTER JOIN". Looking at the Venn diagram you can see why - they include the data outside of the inner overlap area (but also including the inner data). If you just see the word "JOIN" without a specifier, it typically is referring to an "INNER JOIN".

Below is an example complete with this Venn diagram visualization:





I have a Person table containing three people: John, Mary and Bob. I have a Phone table containing three phones that have extensions of 987, 555 and 123. John and Bob have been assigned phones (I can call John on extension 987, Bob on extension 123). Mary is not assigned a phone. The phone with the extension 555 is not assigned to any person.

The INNER join:

select name,dial_number
from person
inner join phone on person.phone_id=phone.phone_id



returns results as found in the overlapping area (John:987 and Bob:123).

The LEFT join:

select name,dial_number
from person
left join phone on person.phone_id=phone.phone_id



returns results as found in the entire left circle (John:987, Mary:null, Bob:123). Because the left table is the Person table, I have one row for each person, regardless of whether they have a phone assigned or not.

The RIGHT join:

select name,dial_number
from person
right join phone on person.phone_id=phone.phone_id



returns results as found in the entire right circle (John:987, null:555, Bob:123). Because the right table is the Phone table, I have one row for each phone, regardless of whether a person is assigned a phone or not.

I don't know why it is so hard for me to remember this - it's so obvious when you see it written down like that. But, nevertheless, I find it helpful to refresh my memory with that Venn diagram explanation whenever I experience a brain freeze while developing queries.
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Friday, 31 August 2012

VIM command to save the read only opened file with sudo permission

Most of the times, we get stuck on saving a vim editor contents as we would have been editing in a read-only mode. Normally when I face this situation, I use to exit the vim editor and re-open it with sudo permission and start my work all again. This command help me today to get rid of this pain. Yup, saving the read-only mode opened files with sudo permission with in the same shell. :w !sudo tee %