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#!/usr/bin/env python

import sys
import os
import gzip

fpath = sys.argv[1]
output = sys.argv[2]
parts_size = int(sys.argv[3])

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Spark

Rdd

• Spark manipulates input datas as RDD, which basically are distributed datasets.
• RDD transformations (map) are lazy. It's like a roadmap of transformations to operate over dataset. But lazy, still.
• RDD actions evaluates transformations and reduces in order to generate and return the result.
• RDD transformations are re-evaluated on each actions by default unless you cache them

tips

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First Article (Adressing the problem)

Special needs

Here at Botify

• Server logs data analytics storage (TeraBytes order)
• Bulk write/read GigaBytes datas loads that would not suit in server's memory
• Need for persistence

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import tempfile
import hurdles
import leveldb
import shutil

from hurdles.tools import extra_setup

common_setup = "import random\n"

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def MGet(self, db, keys, fill_cache=True, *args, **kwargs):
        def get_or_none(key, context):
            try:
                res = db.Get(key, fill_cache=fill_cache)
            except KeyError:
                warning_msg = "Key {0} does not exist".format(key)
                context.update({'status': WARNING_STATUS})
                self.errors_logger.warning(warning_msg)
                res = None
            return res

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import time
import random
import itertools

from fastset.bitvector import bitvector
from Queue import Queue
from threading import Thread

from multiprocessing import Process

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from Queue import Queue
from threading import Thread

class Worker(Thread):
    """Thread executing tasks from a given tasks queue"""
    def __init__(self, tasks):
        Thread.__init__(self)
        self.tasks = tasks
        self.daemon = True
        self.start()

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; <<>> DiG 9.7.0-P1 <<>> telecomix.org
;; global options: +cmd
;; Got answer:
;; ->>HEADER<<- opcode: QUERY, status: NOERROR, id: 49117
;; flags: qr rd ra; QUERY: 1, ANSWER: 0, AUTHORITY: 0, ADDITIONAL: 0

;; QUESTION SECTION:
;telecomix.org.			IN	A

;; Query time: 188 msec

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#!/usr/bin/python
# -*- coding : utf-8 -*-

from __future__ import with_statement

import os

from fabric.api import *
from fabric.contrib.files import exists

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        <label class="control-label" for="channelselect">Channels</label>
        <div class="controls">
            <select name="channels" id="channelselect" multiple="multiple" style="height: 150px;">
                {% for channel in channels %}
                    <option value="{{ channel }}">{{ channel }}</option>
                {% endfor %}
            </select>
            <p class="help-block">Channels on whih keyword should be overriden</p>
        </div>