rtyler

#!/usr/bin/env bash

FILENAME=${1}
# expected to be defined in the environment
#  - AZURE_STORAGE_ACCOUNT
#  - AZURE_CONTAINER_NAME
#  - AZURE_ACCESS_KEY

# inspired by

bernhardschaefer

# Spark Streaming Logging Configuration
# See also: http://spark.apache.org/docs/2.0.2/running-on-yarn.html#debugging-your-application

log4j.rootLogger=INFO, stderr

# application namespace configuration
log4j.logger.de.inovex.mysparkapp=stderr, stdout

# Write all logs to standard Spark stderr file
log4j.appender.stderr=org.apache.log4j.RollingFileAppender

DenisIzmaylov

DigitalOcean Dokku / Node.js Cloud Environment

Custom recipe to get full Node.js Cloud Environment in DigitalOcean Dokku droplet running from scratch. Yes. Your own Heroku for $5 per month.

I use this gist to keep track of the important configuration steps required to have a functioning system after fresh install.

When you have executed that's all step by step you will get a new working and stable system which is ready to host & serve your Node.js application and databases.

• Dokku installation
  • Configure locale
• Fix memory issues

glnds

Less Cheatsheet

less {filename}

Navigation
SPACE	forward one window
b	backward one window
d	forward half window

rgreenjr

-- show running queries (pre 9.2)
SELECT procpid, age(clock_timestamp(), query_start), usename, current_query 
FROM pg_stat_activity 
WHERE current_query != '<IDLE>' AND current_query NOT ILIKE '%pg_stat_activity%' 
ORDER BY query_start desc;

-- show running queries (9.2)
SELECT pid, age(clock_timestamp(), query_start), usename, query 
FROM pg_stat_activity 
WHERE query != '<IDLE>' AND query NOT ILIKE '%pg_stat_activity%'