robertdale

// This can be imported via ./bin/gremlin.sh -i describe.groovy
// A variable 'graph' must be defined with a JanusGraph graph
// Run it as a plugin command ':schema'
// :schema describe
// 

import org.janusgraph.graphdb.database.management.MgmtLogType
import org.codehaus.groovy.tools.shell.Groovysh
import org.codehaus.groovy.tools.shell.CommandSupport

sjudeng

Tested with Cloudera 5.12.0 Quickstart VM (https://www.cloudera.com/downloads/quickstart_vms/5-12.html)

Library	Version
JanusGraph	0.3.0-SNAPSHOT
TinkerPop	3.3.0
Spark	2.2.0
HBase	1.2.0
Cassandra	2.2.11
Java	1.8.0_151

dusenberrymw

Spark Tips & Tricks

Misc. Tips & Tricks

• If values are integers in [0, 255], Parquet will automatically compress to use 1 byte unsigned integers, thus decreasing the size of saved DataFrame by a factor of 8.
• Partition DataFrames to have evenly-distributed, ~128MB partition sizes (empirical finding). Always err on the higher side w.r.t. number of partitions.
• Pay particular attention to the number of partitions when using flatMap, especially if the following operation will result in high memory usage. The flatMap op usually results in a DataFrame with a [much] larger number of rows, yet the number of partitions will remain the same. Thus, if a subsequent op causes a large expansion of memory usage (i.e. converting a DataFrame of indices to a DataFrame of large Vectors), the memory usage per partition may become too high. In this case, it is beneficial to repartition the output of flatMap to a number of partitions that will safely allow for appropriate partition memory sizes, based upon the

mmazzarolo

# iOS
app_identifier "com.myapp.app" # The bundle identifier of your app
apple_id "me@gmail.com" # Your Apple email address
team_id "1234ABCD"  # Developer Portal Team ID

# Android
json_key_file "./google-play-api-secret.json" # Path to the json secret file - Follow https://github.com/fastlane/supply#setup to get one
package_name "com.myapp.app" # Your Android app package

giwa

$ brew update
$ brew install hive

epicserve

from django.template.defaultfilters import slugify
from django.contrib.sites.models import Site
from django.core.files import File
from taggit.models import Tag
from .models import Photo
import factory
import os

TEST_MEDIA_PATH = os.path.join(os.path.dirname(__file__), 'tests', 'test_media')
TEST_PHOTO_PATH = os.path.join(TEST_MEDIA_PATH, 'test_photo.png')

jpennell

from fabric.api import env, local, require


def deploy():
    """fab [environment] deploy"""
    require('environment')
    maintenance_on()
    push()
    syncdb()
    migrate()

mikeyk

#! /usr/bin/env python

import redis
import random
import pylibmc
import sys

r = redis.Redis(host = 'localhost', port = 6389)
mc = pylibmc.Client(['localhost:11222'])

Arachnid

A unit test helper library for App Engine.

Note that this is currently COMPLETELY UNTESTED. Consider it demo code only.

This library aims to make it easier to unit-test app engine apps and libraries
by handling the creation and registration of service stubs and so forth for you.
It also provides a custom implementation of the Capability service that allows
you to specify what capabilities you want it to report as disabled, and it wraps
all stubs in a wrapper that will throw a CapabilityDisabledError if you attempt
to use a disabled service or method.