kubectl -n kube-system create sa tiller
kubectl create clusterrolebinding tiller --clusterrole cluster-admin --serviceaccount=kube-system:tiller
helm init --service-account tiller
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Step 1) Apply CRDS | |
kubectl apply -f https://raw.githubusercontent.com/jetstack/cert-manager/release-0.6/deploy/manifests/00-crds.yaml | |
Step 2) Label namespace | |
kubectl create namespace cert-manager | |
kubectl label namespace cert-manager certmanager.k8s.io/disable-validation="true" | |
Step 3) Create Helm Chart | |
helm install --name cert-manager \ | |
stable/cert-manager \ |
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package main | |
import "fmt" | |
import "bytes" | |
import "encoding/gob" | |
import "encoding/hex" | |
import "github.com/AsynkronIT/protoactor-go/actor" | |
type MyActor struct { | |
CallCount int |
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#define _GNU_SOURCE | |
#include <stdio.h> | |
#include <stdlib.h> | |
#include <sched.h> | |
#include <sys/wait.h> | |
#include <errno.h> | |
#define STACKSIZE (1024*1024) | |
static char child_stack[STACKSIZE]; |
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import akka.actor._ | |
import akka.stream.scaladsl.Flow | |
import org.apache.spark.streaming.dstream.ReceiverInputDStream | |
import org.apache.spark.streaming.receiver.ActorHelper | |
import akka.actor.{ ExtensionKey, Extension, ExtendedActorSystem } | |
import scala.reflect.ClassTag | |
object AkkaStreamSparkIntegration { |
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---------------------------------------------------------------------------------------------------- | |
--- Making Lua look like Prolog: | |
--- | |
--- Let's use metatables for something other than emulating prototype-based OO. By making the | |
--- __index metamethod create values for undefined things, we can make Lua look like Prolog! | |
--- We create empty tables for anything starting with a capital letter, functions that populate | |
--- those tables for lowercase things (to assign relationships) and if a name begins with "is_" | |
--- then it becomes a function that queries those tables. | |
---------------------------------------------------------------------------------------------------- |
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import org.apache.spark.storage.StorageLevel | |
import org.apache.spark.streaming.{ Seconds, StreamingContext } | |
import org.apache.spark.streaming.StreamingContext._ | |
import org.apache.spark.streaming.twitter._ | |
import org.sedis._ | |
import redis.clients.jedis._ | |
object TwitterWordCount { | |
def main(args: Array[String]) { |
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// Use Gists to store code you would like to remember later on | |
console.log(window); // log the "window" object to the console |