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//==================================================================
// SPARK INSTRUMENTATION
//==================================================================
import com.codahale.metrics.{MetricRegistry, Meter, Gauge}
import org.apache.spark.{SparkEnv, Accumulator}
import org.apache.spark.metrics.source.Source
import org.joda.time.DateTime
import scala.collection.mutable
@arjones
arjones / README.md
Last active December 29, 2015 17:39 — forked from mbostock/.block

Click on any arc to zoom in. Click on the center circle to zoom out.

A sunburst is similar to a treemap, except it uses a radial layout. The root node of the tree is at the center, with leaves on the circumference. The area (or angle, depending on implementation) of each arc corresponds to its value. Sunburst design by John Stasko. Data courtesy Jeff Heer.

@arjones
arjones / README.md
Created November 29, 2013 12:38 — forked from mbostock/.block

A treemap recursively subdivides area into rectangles; the area of any node in the tree corresponds to its value. This example uses color to encode different packages of the Flare visualization toolkit. Treemap design invented by Ben Shneiderman. Squarified algorithm by Bruls, Huizing and van Wijk. Data courtesy Jeff Heer.

# based on http://uberblo.gs/2011/06/high-performance-url-shortening-with-redis-backed-nginx
# using code from http://stackoverflow.com/questions/3554315/lua-base-converter
# "database scheme"
# database 0: id ~> url
# database 1: id ~> hits
# database 2: id ~> [{referer|user_agent}]
# database 3: id ~> hits (when id is not found)
# database 4: id ~> [{referer|user_agent}] (when id is not found)
# database 5: key "count" storing the number of shortened urls; the id is generated by (this number + 1) converted to base 62
package com.bizo.hive.udtf;
import java.util.ArrayList;
import java.util.List;
import org.apache.hadoop.hive.ql.exec.UDFArgumentException;
import org.apache.hadoop.hive.ql.exec.Description;
import org.apache.hadoop.hive.ql.metadata.HiveException;
import org.apache.hadoop.hive.ql.udf.generic.GenericUDTF;
import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector;
<!DOCTYPE html>
<meta charset="utf-8">
<style>
.node {
font: 10px sans-serif;
}
.link {
stroke: steelblue;
import com.twitter.scalding._
import scala.util.parsing.json._
class ParseJsonJob(args: Args) extends Job(args) {
TextLine(args("input"))
.map(('line) -> ('parseStatus, 'uri)) {
line: String => {
JSON.parseFull(line) match {
case Some(data: Map[String, String]) => ("success", data("uri"))
case None => ("failed", "")
@arjones
arjones / gist:4051359
Created November 10, 2012 15:10 — forked from guenter/gist:1424333
Lucene Facets Drill Down
import org.apache.lucene.analysis.standard.StandardAnalyzer;
import org.apache.lucene.document.Document;
import org.apache.lucene.facet.index.CategoryDocumentBuilder;
import org.apache.lucene.facet.index.params.DefaultFacetIndexingParams;
import org.apache.lucene.facet.index.params.FacetIndexingParams;
import org.apache.lucene.facet.search.DrillDown;
import org.apache.lucene.facet.search.FacetsCollector;
import org.apache.lucene.facet.search.params.CountFacetRequest;
import org.apache.lucene.facet.search.params.FacetRequest;
import org.apache.lucene.facet.search.params.FacetSearchParams;
@arjones
arjones / Folder Preferences
Created October 10, 2012 15:42 — forked from chrisyour/Folder Preferences
Show hidden files and hidden folders (except .git) in your TextMate project drawer
# Want to show hidden files and folders in your TextMate project drawer? Simple, just modify the file and folder patterns in TextMate's preferences.
# Instructions:
# Go to TextMate > Preferences...
# Click Advanced
# Select Folder References
# Replace the following:
# File Pattern
@arjones
arjones / L.scala
Created April 19, 2012 02:37 — forked from huynhjl/L.scala
Playing with Lucene QueryParser and Query classes
import org.apache.lucene.queryParser.QueryParser
import org.apache.lucene.search._
import org.apache.lucene.analysis._
import org.apache.lucene.analysis.en.EnglishAnalyzer
import org.apache.lucene.analysis.tokenattributes._
import org.apache.lucene.util.Version.LUCENE_35
case class TextQuery(analyzer: Analyzer) {
val parser = new QueryParser(LUCENE_35 , "dummyfield", analyzer)
def fromString(searchTerms: String) = {