how to solve it - G. Polya http://ift.tt/1vg8hhi

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how to solve it - G. Polya
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Understanding Mathematics by Peter Alfeld, Department of Mathematics, University of Utah. G. Polya, How to Solve It. Summary taken from G. Polya, "How to Solve It", 2nd ed., Princeton University Press, 1957, ISBN 0-691-08097-6. UNDERSTANDING THE PROBLEM. First. You have to understand the problem ...

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How to Write Secure Code http://ift.tt/1ivLWEy http://ift.tt/Mxm7uJ...

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How to Write Secure Code
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What is an application security principle? Application security principles are collections of desirable application properties, behaviors, designs and implementation practices that attempt to reduce the likelihood of threat realization and impact should that threat be realized.

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Scalability Principles http://ift.tt/2eAmw17 http://ift.tt/gEA7C8...

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Scalability Principles
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At the simplest level, scalability is about doing more of something. This could be responding to more user requests, executing more work or handling more data. This article presents some principles and guidelines for building scalable software systems.

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headMap, tailMap, descendingMap, NavigableMap, SortedMap TreeMap

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headMap, tailMap, descendingMap, NavigableMap, SortedMap
TreeMap<Integer, Integer> map = new TreeMap<>();

map.put(1, 1);
map.put(2,2);
map.put(3,3);
map.put(4,4);

map.put(5,5);

final NavigableMap<Integer, Integer> headMap = ((NavigableMap<Integer, Integer>) map.headMap(3)).descendingMap();

for(Integer i: headMap.values())
{
System.out.println(i);
}

System.out.println("----");
for(Integer i: map.tailMap(3).values())
{
System.out.println(i);
}

SortedMap
NavigableMap extends SortedMap

NavigableMap:
NavigableMap<K,V> headMap(K toKey, boolean inclusive);
SortedMap<K,V> headMap(K toKey); // why not return NavigableMap?

public interface SortedMap<K,V> extends Map<K,V> {
SortedMap<K,V> headMap(K toKey);

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System Design - Learning from Existing Products http://ift.tt/2eg2ntC...

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System Design - Learning from Existing Products
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System Design - Summary
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System Design - Learning from Open Source and the Internet
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System Design Practices
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Design home page stream Design feed Mixed approaches - Push + Pull from -- selectively disable push for celebrities, pull them instead. http://ift.tt/1NlpEsx Design...

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Achieving Rapid Response Times in Large Online Services - Jeff Dean https://www.youtube.com/watch?v=...

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Achieving Rapid Response Times in Large Online Services - Jeff Dean
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Jeff Dean: "Achieving Rapid Response Times in Large Online Services" Keynote - Velocity 2014

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Needle in a haystack: efficient storage of billions of photos http://ift.tt/1OTTZ1B...

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Needle in a haystack: efficient storage of billions of photos
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Here are some of the salient points from the research publication: “Finding a needle in Haystack: Facebook’s photo storage” - Doug Beaver, Sanjeev Kumar, Harry C. Li, Jason Sobel, Peter Vajgel, Facebook Inc. Full paper avail...

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http://ift.tt/2dWr7Ha

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Looking for mind blowing Logical Puzzles, Interview Puzzles, Number Puzzles, Hacker Puzzle, Brain Teasers or Sequence Riddles then your search ends here.

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On Designing and Deploying Internet-Scale Services http://ift.tt/2efVBVB...

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On Designing and Deploying Internet-Scale Services
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On Designing and Deploying Internet-Scale Services. James Hamilton - Windows Live Services Platform. Pp. 231-242 of the Proceedings of the 21st Large Installation System Administration Conference (LISA '07) (Dallas, TX: USENIX Association, November 11-16, 2007). Abstract.

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Eventually Consistent http://ift.tt/QOjN1a https:/...

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Eventually Consistent
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I wrote a first version of this posting on consistency models in December 2007, but I was never happy with it as it was written in haste and the topic is important enough to receive a more thorough treatment. ACM Queue asked me to revise it for use in their magazine and I took the opportunity to ...

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Gotchas with Scala Mutable Collections and Large Data Sets http://ift.tt/2edtK8x...

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Gotchas with Scala Mutable Collections and Large Data Sets
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I was recently working on Spark project where I had to build a very large list for each partition. I ran into a few gotchas with common data structures. Th...

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Redis Cookbook http://ift.tt/2er7EBp http://ift.tt/1sFdzlp...

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Redis Cookbook
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Recipes. A collection of Redis how-to's, built by the Redis community. Easily Install Redis in Multiple Environments · Install Redis With Make · Create Unique IDs · Atomic Get and Delete · Working with Multiple Databases · Atomically Pipeline Multiple Commands · Introduction to Storing Objects ...

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Set different notification sound for some apps Most wanted features for Android - Some apps are most...

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Set different notification sound for some apps
Most wanted features for Android

- Some apps are most important for users such as trading, messaging etc.

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IDEA-162937 Show error/warnings in current window in editor's left side bar - match the line exactly...

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IDEA-162937 Show error/warnings in current window in editor's left side bar - match the line exactly
http://ift.tt/2enOI6I

http://ift.tt/2eLIRuK

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ConcurrentHashMap in Java 8 http://ift.tt/2e7dg4J...

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ConcurrentHashMap in Java 8
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ConcurrentHashMap<String, MyClass> m =
new ConcurrentHashMap<String, MyClass>(8, 0.9f, 1);

public void mergeValue_jdk8(String word, int occurrence) {
wordMap.merge(word, occurrence, (key, value) -> wordMap.getOrDefault(key, 0) + value);
}

ConcurrentHashMap<String, Integer> wordMap = new ConcurrentHashMap<String, Integer>(16, 0.9f, 1);
wordMap.merge(word, occurrence, (key, value) -> wordMap.getOrDefault(key, 0) + value);
wordMap.reduceValues(1,(count1,count2) -> count1+count2);


Java8 has lots of new features that will help in writing code that express its intent more clearly and in concise way. ConcurrentHashMap has lots of nice features that reduces boiler plate code, most of the new features are ...

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Jackson JsonFilter http://ift.tt/2euMi4U http...

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Jackson JsonFilter
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Background We are building an application that supports REST calls to our API. We use JBoss AS 7.1.1 and its default framework 'RestEasy' and Jackson v1.9 JSON processor. Since it is a REST application, we may need to provid...

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<T extends Comparable<? super T>> void sort( List<T> list )
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I use comparable interface all the time to provided natural ordering for my class through collection.sort. Basically if I have a person class, I will get it to implement Comparable interface and w...

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Difference between extends and super In generic collections - get-put principle http://ift.tt/A9YG5h...

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Difference between extends and super In generic collections
- get-put principle
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Blogs.Oracle.Com - Chris Webster's Weblog

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Jersey¹s Entity Filtering - only return fields clients need http://ift.tt/2e6P5Fr...

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Jersey¹s Entity Filtering - only return fields clients need
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Support for Entity Filtering in Jersey introduces a convenient facility for reducing the amount of data exchanged over the wire between client and server without a need to create specialized data v...

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Data Consistency Primer http://ift.tt/1OcUnL4 https://cloudant.com/...

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Data Consistency Primer
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Cloud applications typically use data that is dispersed across data stores. Managing and maintaining data consistency in this environment can become a critical aspect of the system, particularly in terms of the concurrency and availability issues that can arise. You frequently need to trade ...

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