सम्प्रेषण (Sampreshan)

संगच्छध्वं सं वदध्वं सं वो मनांसि जानताम्‌। देवा भागं यथा पूर्वे संजानाना उपासते॥ ऋग्वेद 12/191.4

ShriKant Vashishtha

QuickTip : Invalid target release: 1.6 with mvn install

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After working for around an year in Flex, I moved back to Java platform again. While building the project I am working on, I saw the following error:

[INFO] ————————————————————————
[ERROR] BUILD FAILURE
[INFO] ————————————————————————
[INFO] Compilation failure
Failure executing javac, but could not parse the error:
javac: invalid target release: 1.6
Usage: javac
where possible options include:
-g Generate all debugging info
-g:none Generate no debugging info
-g:{lines,vars,source} Generate only some debugging info
-nowarn Generate no warnings
-verbose Output messages about what the compiler is doing

Logically I changed my PATH environment variable to make JDK bin folder point to JDK version 1.6. Even after making changes, it still didn’t work. It took me a quite a lot of time to figure out that maven uses JAVA_HOME variable for executing the build which was pointing to the obvious, i.e. JDK 1.5. I changed it and it worked like a glove.

Cross-cultural differences in software development – Organizational patterns

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I hope it’s not any hidden fact anymore to realize the real value of Jim Coplien’s work on “Organization Patterns of Agile Software Development“. It talks about some of the very important factors other than pure technical for the software success. They are also intrinsic part of software development and we can never underestimate them. To begin with we need to accept them.
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Which caching algorithm to use when?

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Sometimes we really look for what kind of caching algorithm we should use in what situations. By default we use LFU. But many times we would like to know which one to use when. Here is a summary of the issues we face with different caching algorithms.

Least frequently Used (LFU) – LFU implicitly works based on the principle of number of times you access a particular key. At the face of it, it looks cool but as soon as you think about doing processing for each thread to count the number of times it is accessed, you’re implicitly inviting performance issues and handling concurrency issues. For high load, these issues really make a big difference.
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People issues in Indian IT

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Indian IT companies have been on recruitment spree for quite sometime. Because of global recession, may be recruitment has become a little bit slow but how about thinking a target of recruiting 25000 people in one year. You will go nuts…

Some of the biggest Indian software companies have been getting the huge contracts which span years of the relationship and say a billion dollar contract with the customer. IT offshoring has remained a biggest buzz for many of the multi-national companies as part of cost-cutting or to reduce their IT spending.
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