Mortimerp9

import scala.concurrent.Await
import scala.concurrent.ExecutionContext
import scala.concurrent.Future
import scala.concurrent.blocking
import scala.concurrent.duration.Deadline
import scala.concurrent.duration.Duration
import scala.concurrent.duration.DurationInt
import scala.concurrent.duration.DurationLong
import scala.concurrent.future
import scala.concurrent.promise

andrewconner

/*  We've run into a few common pitfalls when dealing with Futures in Scala, so I wrote these three helpful
 *  classes to give some baked-in functionality.
 *
 *  I'd love to hear about other helpers you're using like these, or if you have improvement suggestions.
 *  github@andrewconner.org / @connerdelights
 */
 
import scala.concurrent.{ExecutionContext, CanAwait, Awaitable, Future, Promise}
import scala.concurrent.duration.Duration
import scala.util.Try

azymnis

import com.twitter.scalding._
import com.twitter.algebird.{ MinHasher, MinHasher32, MinHashSignature }

/**
 * Computes similar items (with a string itemId), based on approximate
 * Jaccard similarity, using LSH.
 *
 * Assumes an input data TSV file of the following format:
 *
 *    itemId   userId

gkossakowski

#
# A fatal error has been detected by the Java Runtime Environment:
#
#  SIGSEGV (0xb) at pc=0x000000010ff99024, pid=21513, tid=20739
#
# JRE version: Java(TM) SE Runtime Environment (8.0-b123) (build 1.8.0-ea-b123)
# Java VM: Java HotSpot(TM) 64-Bit Server VM (25.0-b65 mixed mode bsd-amd64 compressed oops)
# Problematic frame:
# V  [libjvm.dylib+0x399024]
#

otoolep

#!/bin/bash

# Check out the blog post at:
#
#    http://www.philipotoole.com/influxdb-and-grafana-howto
#
# for full details on how to use this script.

AWS_EC2_HOSTNAME_URL=http://169.254.169.254/latest/meta-data/public-hostname
INFLUXDB_DATABASE=test1

staltz

The introduction to Reactive Programming you've been missing

(by @andrestaltz)

---

This tutorial as a series of videos

If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.

---

johnynek

Suppose you have a key like (page, geo, day) and you want to make rollups/datacube so you can query for all pages, or all geos or all days.

Here is how you do it:

def opts[T](t: T): Seq[Option[T]] = Seq(Some(t), None)

val p: TypedPipe[(String, String, Int)] = ...

p.sumByLocalKeys

azymnis

import com.twitter.algebird.{Aggregator, Semigroup}
import com.twitter.scalding._

import scala.util.Random

/**
 * This job is a tutorial of sorts for scalding's Execution[T] abstraction.
 * It is a simple implementation of Lloyd's algorithm for k-means on 2D data.
 *
 * http://en.wikipedia.org/wiki/K-means_clustering

donnfelker

#
# Build configuration for Circle CI
#

general:
    artifacts:
        - /home/ubuntu/your-app-name/app/build/outputs/apk/

machine:
    environment:

johnynek

/**
 * To get started:
 * git clone https://github.com/twitter/algebird
 * cd algebird
 * ./sbt algebird-core/console
 */

/**
 * Let's get some data. Here is Alice in Wonderland, line by line
 */