Category: Software

JavaScript Code Improver – obfuscator에 상반되는 툴

JavaScript Code Improver

Cannot read your own JavaScript code?
Cannot find that closing brace?
Lost all hope of making head or tail of the JavaScript code inherited from your colleague?
Or just curious of how JavaScript works?

Try JavaScript Code Improver!

With JavaScript Code Improver you are just one click away from making any JavaScript clear, easily comprehensible and ready for printing thus saving the time you spend on editing, debugging and modifying it. Forget about all problems resulting from those illegible JavaScripts!

Compare how the same piece of code looks before:


<script language=”JavaScript”>var i=0,s=””,k=0;function foo(){for(j=0;j<10;j++){for(i=0;i<10;i++){s=”string1″;k=Math.floor(Math.random()*10);}for(i=20;i>9;i–){s=”string2″;k=i;}}}</script>
 


and after processing by JavaScript Code Improver:

<script language=”JavaScript”>
var i = 0, s = “”, k = 0;
function foo()
{
    for(j = 0; j < 10; j++)
    {
        for(i = 0; i < 10; i++)
        {
            s = “string1”;
            k = Math.floor( Math.random()*10 );
        }
        for(i = 20; i > 9; i–)
        {
            s = “string2”;
            k = i;
        }
    }
}
</script>

You can see the difference, can’t you?

The program’s flexible settings let you structure the code in any way you like. So, even if your JavaScript code is pretty comprehensible, you can just give it more professional or just more pleasant feel.

So, download JavaScript Code Improver now and test.


Introduction to The Solr Enterprise Search Server

Introduction to The Solr Enterprise Search Server

Solr in a Nutshell


Solr is a standalone enterprise search server with a web-services like API. You put documents in it (called “indexing”) via XML over HTTP. You query it via HTTP GET and receive XML results.



  • Advanced Full-Text Search Capabilities
  • Optimized for High Volume Web Traffic
  • Standards Based Open Interfaces – XML and HTTP
  • Comprehensive HTML Administration Interfaces
  • Scalability – Efficient Replication to other Solr Search Servers
  • Flexible and Adaptable with XML configuration
  • Extensible Plugin Architecture

Solr Uses the Lucene Search Library and Extends it!




  • A Real Data Schema, with Dynamic Fields, Unique Keys
  • Powerful Extensions to the Lucene Query Language
  • Support for Dynamic Result Grouping and Filtering
  • Advanced, Configurable Text Analysis
  • Highly Configurable and User Extensible Caching
  • Performance Optimizations
  • External Configuration via XML
  • An Administration Interface
  • Monitorable Logging
  • Fast Incremental Updates and Snapshot Distribution

Detailed Features


Schema




  • Defines the field types and fields of documents
  • Can drive more intelligent processing
  • Declarative Lucene Analyzer specification
  • Dynamic Fields enables on-the-fly addition of fields
  • CopyField functionality allows indexing a single field multiple ways, or combining multiple fields into a single searchable field
  • Explicit types eliminates the need for guessing types of fields
  • External file-based configuration of stopword lists, synonym lists, and protected word lists

Query



  • HTTP interface with configurable response formats (XML/XSLT, JSON, Python, Ruby)
  • Highlighted context snippets
  • Faceted Searching based on field values and explicit queries
  • Sort specifications added to query language
  • Constant scoring range and prefix queries – no idf, coord, or lengthNorm factors, and no restriction on the number of terms the query matches.
  • Function Query – influence the score by a function of a field’s numeric value or ordinal
  • Performance Optimizations

Core



  • Pluggable query handlers and extensible XML data format
  • Document uniqueness enforcement based on unique key field
  • Batches updates and deletes for high performance
  • User configurable commands triggered on index changes
  • Searcher concurrency control
  • Correct handling of numeric types for both sorting and range queries
  • Ability to control where docs with the sort field missing will be placed
  • Support for dynamic grouping of search results

Caching



  • Configurable Query Result, Filter, and Document cache instances
  • Pluggable Cache implementations
  • Cache warming in background

    • When a new searcher is opened, configurable searches are run against it in order to warm it up to avoid slow first hits. During warming, the current searcher handles live requests.

  • Autowarming in background

    • The most recently accessed items in the caches of the current searcher are re-populated in the new searcher, enabing high cache hit rates across index/searcher changes.

  • Fast/small filter implementation
  • User level caching with autowarming support

Replication



  • Efficient distribution of index parts that have changed via rsync transport
  • Pull strategy allows for easy addition of searchers
  • Configurable distribution interval allows tradeoff between timeliness and cache utilization

Admin Interface



  • Comprehensive statistics on cache utilization, updates, and queries
  • Text analysis debugger, showing result of every stage in an analyzer
  • Web Query Interface w/ debugging output

    • parsed query output
    • Lucene explain() document score detailing
    • explain score for documents outside of the requested range to debug why a given document wasn’t ranked higher.