diegows

dirs = [
  "solariat",
  "solariat_pool",
  "solariat_nlp"
]


for dir in dirs do
  project_path = "/opt/tango/#{dir}"
  if ::File.exists?(project_path) then

diegows

[root@solariat01 EGG-INFO]# easy_install http://egguser:thieChaew8@192.237.173.216:8080/eggs/solariat_pool-0.3.3-py2.6.egg
Downloading http://egguser:thieChaew8@192.237.173.216:8080/eggs/solariat_pool-0.3.3-py2.6.egg
Processing solariat_pool-0.3.3-py2.6.egg
removing '/usr/lib/python2.7/site-packages/solariat_pool-0.3.3-py2.6.egg' (and everything under it)
creating /usr/lib/python2.7/site-packages/solariat_pool-0.3.3-py2.6.egg
Extracting solariat_pool-0.3.3-py2.6.egg to /usr/lib/python2.7/site-packages
solariat-pool 0.3.3 is already the active version in easy-install.pth

Installed /usr/lib/python2.7/site-packages/solariat_pool-0.3.3-py2.6.egg
Processing dependencies for solariat-pool==0.3.3

diegows

[20/Jan/2014:21:12:50 -0300] - _csngen_adjust_local_time: gen state
before 52ddb8ec0001:1390262479:0:29
[20/Jan/2014:21:12:50 -0300] - _csngen_adjust_local_time: gen state
after 52ddbb9f0000:1390263170:0:29
[20/Jan/2014:21:12:50 -0300] NSMMReplicationPlugin -
ruv_add_csn_inprogress: successfully inserted csn 52ddbb9f000000630000
into pending list
[20/Jan/2014:21:12:50 -0300] NSMMReplicationPlugin - Purged state
information from entry
uid=zzj,ou=People,ou=branch,ou=branches,dc=site,dc=ar up to CSN

diegows

100 MB written in 20.2 seconds --> 5.0 MB/sec across 1 workers for storage_type=accumulo
100 MB written in 21.0 seconds --> 4.8 MB/sec across 1 workers for storage_type=accumulo
500 MB written in 23.2 seconds --> 21.5 MB/sec across 5 workers for storage_type=accumulo
500 MB written in 15.3 seconds --> 32.6 MB/sec across 5 workers for storage_type=accumulo
1000 MB written in 54.0 seconds --> 18.5 MB/sec across 10 workers for storage_type=accumulo
1000 MB written in 38.0 seconds --> 26.3 MB/sec across 10 workers for storage_type=accumulo
2500 MB written in 159.9 seconds --> 15.6 MB/sec across 25 workers for storage_type=accumulo
2500 MB written in 162.9 seconds --> 15.3 MB/sec across 25 workers for storage_type=accumulo
5000 MB written in 376.1 seconds --> 13.3 MB/sec across 50 workers for storage_type=accumulo
5000 MB written in 402.3 seconds --> 12.4 MB/sec across 50 workers for storage_type=accumulo

diegows

import threading
import warnings
from collections import defaultdict

from mongoengine import *
from mongoengine.connection import get_db


def dbconnect(company):
    global company_name

diegows

SSH_ENV="$HOME/.ssh/environment"

# start the ssh-agent
function start_agent {
  echo "Initializing new SSH agent..."
  # spawn ssh-agent
  ssh-agent | sed 's/^echo/#echo/' > "$SSH_ENV"
  echo succeeded
  chmod 600 "$SSH_ENV"
  . "$SSH_ENV" > /dev/null

diegows

class CSDocument(object):
    _collections = defaultdict(lambda: None)
    active_db = None

    @classmethod
    def switch_active_db(cls, dbname):
        cls.active_db = dbname

    @classmethod
    def _get_db(cls):