title | tags | authors | |||||
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How to keep in sync your Git repos on GitHub, GitLab & Bitbucket easily |
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# quick way to change previous JAVA_HOME to jdk 8 version. | |
set -x JAVA_HOME (/usr/libexec/java_home -v 1.8) | |
function setjdk | |
if test -n "$JAVA_HOME" | |
removeFromPath "$JAVA_HOME/bin" | |
end | |
set -gx JAVA_HOME (/usr/libexec/java_home -v $argv[1]) | |
set -gx PATH $JAVA_HOME/bin $PATH | |
end |
############################################# | |
# Push de la rama actual | |
git push origin $rama_actual | |
############################################# | |
# Volver a un commit anterior, descartando los cambios | |
git reset --HARD $SHA1 | |
############################################# | |
# Ver y descargar Ramas remotas |
# Clean the exited containers | |
docker rm $(sudo docker ps -a | grep Exit | cut -d ' ' -f 1) | |
# Clean the untagged images (or old images) | |
docker rmi $(docker images | tail -n +2 | awk '$1 == "<none>" {print $'3'}') | |
# On Docker 1.9+ you can remove the orphan volumes with the next command | |
docker volume rm $(docker volume ls -qf dangling=true) |
$> brew cask install java | |
$> brew install kafka | |
$> vim ~/bin/kafka | |
# ~/bin/kafka | |
#!/bin/bash | |
zkServer start | |
kafka-server-start.sh /usr/local/etc/kafka/server.properties |
import scala.io.Source.fromFile | |
def parseProperties(filename: String): Map[String,String] = { | |
val lines = fromFile(filename).getLines.toSeq | |
val cleanLines = lines.map(_.trim).filter(!_.startsWith("#")).filter(_.contains("=")) | |
cleanLines.map(line => { val Array(a,b) = line.split("=",2); (a.trim, b.trim)}).toMap | |
} |
Here are 10 one-liners which show the power of scala programming, impress your friends and woo women; ok, maybe not. However, these one liners are a good set of examples using functional programming and scala syntax you may not be familiar with. I feel there is no better way to learn than to see real examples.
Updated: June 17, 2011 - I'm amazed at the popularity of this post, glad everyone enjoyed it and to see it duplicated across so many languages. I've included some of the suggestions to shorten up some of my scala examples. Some I intentionally left longer as a way for explaining / understanding what the functions were doing, not necessarily to produce the shortest possible code; so I'll include both.
The map
function takes each element in the list and applies it to the corresponding function. In this example, we take each element and multiply it by 2. This will return a list of equivalent size, compare to o
package com.datastax.spark.demo; | |
import com.datastax.driver.core.Session; | |
import com.datastax.spark.connector.cql.CassandraConnector; | |
import com.google.common.base.Optional; | |
import org.apache.spark.SparkConf; | |
import org.apache.spark.api.java.JavaPairRDD; | |
import org.apache.spark.api.java.JavaRDD; | |
import org.apache.spark.api.java.JavaSparkContext; | |
import org.apache.spark.api.java.function.FlatMapFunction; |