Jakob Dobrzynski jakob85

If your csv doesn't contain escaped newlines then it is pretty easy to do a progressive parsing without putting the whole file into memory. The iteratee library comes with a method search inside play.api.libs.iteratee.Parsing :

def search (needle: Array[Byte]): Enumeratee[Array[Byte], MatchInfo[Array[Byte]]]

which will partition your stream into Matched[Array[Byte]] and Unmatched[Array[Byte]]

Then you can combine a first iteratee that takes a header and another that will fold into the umatched results. This should look like the following code:

// break at each match and concat unmatches and drop the last received element (the match)

Running redis using upstart on Ubuntu

I've been trying to understand how to setup systems from the ground up on Ubuntu. I just installed redis onto the box and here's how I did it and some things to look out for.

To install:

	package core.dao

	import scala.concurrent.Future

	import play.api.Logger

	import reactivemongo.core.commands.LastError
	import reactivemongo.core.errors.DatabaseException

	import core.db.MongoHelper

	package daos

	import scala.concurrent.ExecutionContext
	import scala.concurrent.Future
	import play.api.Play.current
	import play.modules.reactivemongo._
	import reactivemongo.api._
	import reactivemongo.api.indexes._
	import reactivemongo.bson._
	import reactivemongo.bson.handlers.BSONReader

	@(field:Field, min:Int=1)(f: (Field, Int) => Html)
	@{
	(0 until math.max(if (field.indexes.isEmpty) 0 else field.indexes.max + 1, min)).map(i => f(field("[" + i + "]"),i))
	}