Jorge jvican

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Introduction to scalaz-stream

Every application ever written can be viewed as some sort of transformation on data. Data can come from different sources, such as a network or a file or user input or the Large Hadron Collider. It can come from many sources all at once to be merged and aggregated in interesting ways, and it can be produced into many different output sinks, such as a network or files or graphical user interfaces. You might produce your output all at once, as a big data dump at the end of the world (right before your program shuts down), or you might produce it more incrementally. Every application fits into this model.

The scalaz-stream project is an attempt to make it easy to construct, test and scale programs that fit within this model (which is to say, everything). It does this by providing an abstraction around a "stream" of data, which is really just this notion of some number of data being sequentially pulled out of some unspecified data source. On top of this abstraction, sca

Tuning Scala[c]

Using every tool in the box to squeeze out some more compiler performance.

Tooling

Java Flight Recorder

JMC / JFR resources:

http://docs.oracle.com/javacomponents/jmc-5-5/jfr-runtime-guide/about.htm

indylambda: Putting invokedynamic to work for Scala

Java 8 introduced lambdas to the Java language. While the design choices differ in many regards from Scala's functions, the underlying mechanics used to represent Java lambdas is flexible enough to be used as a target for the Scala compiler.

Lambdas in Java

Java does not have canonical heirarchy of generic function types (ala scala.FunctionN), but instead allows a lambda to be used as a shorthand for an anonymous implementation of an Functional Interface

Here's an example of creating a predicate that closes over one value:

	// Import the magic libraries

	import scala.xml._
	import scala.xml.transform._

	// Source xml. In Scala, xml is literal.

	val xml =
	<user>
	<email>joe@example.com</email>

	/**
	* Part Zero : 10:15 Saturday Night
	*
	* (In which we will see how to let the type system help you handle failure)...
	*
	* First let's define a domain. (All the following requires scala 2.9.x and scalaz 6.0)
	*/

	import scalaz._
	import Scalaz._

	package com.awilmore.ioutils;

	import java.io.IOException;
	import java.io.InputStream;
	import java.io.OutputStream;
	import java.nio.ByteBuffer;
	import java.nio.channels.Channels;
	import java.nio.channels.ReadableByteChannel;
	import java.nio.channels.WritableByteChannel;

	(* ZOTERO SQLITE QUERIES

	--Stephen Margheim
	--2/4/14
	--open source

	This is a collection of SQLite queries to be used with a user's Zotero database to extract most relevant pieces of information.
	Each query will return a string list of all the item keys that match the query.
	*)

	// Please comment in case of typos or bugs

	import scala.slick.driver.H2Driver._
	val db = Database.for...(...)

	case class Record( ... )
	class Records(tag: Tag) extends Table[Record](tag,"RECORDS"){
	...
	def * = ... <> (Record.tupled,Record.unapply)
	// place additional methods here which return values of type Column

	#!/bin/bash
	#
	# Generates client and server certificates used to enable HTTPS
	# remote authentication to a Docker daemon.
	#
	# See http://docs.docker.com/articles/https/
	#
	# To start the Docker Daemon:
	#
	# sudo docker -d \