longshilin

# Adjust the following variables as necessary
REMOTE=origin
BRANCH=$(git rev-parse --abbrev-ref HEAD)
BATCH_SIZE=500

# check if the branch exists on the remote
if git show-ref --quiet --verify refs/remotes/$REMOTE/$BRANCH; then
    # if so, only push the commits that are not on the remote already
    range=$REMOTE/$BRANCH..HEAD
else

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brew install caddy mkcert nss dnsmasq

mkcert -install
# test could be anything
mkcert '*.app.test' '*.cdn.test'

# rename the certs and move them under /usr/local/etc/caddy/certs

cat <<EOF > /usr/local/etc/caddy/Caddyfile
*.app.test:443, *.cdn.test:443 {

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name: Page Deploy
on:
  push:
    branches: 
      - master
jobs:
  Replace:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v2

longshilin

using System;

public class Node<T>
{
    public T Data { set; get; } //数据域,当前结点数据
    public Node<T> Next { set; get; } //位置域,下一个结点地址

    public Node(T item)
    {
        this.Data = item;

longshilin

</div>
<div>
<div>
<div align="center">
<a href="https://weibo.com/longsl123" target="_blank" align="center"><img src="https://i.imgur.com/i2zdHzG.png" width="50px" height="50px"></a>
<a href="https://twitter.com/yilong0722" target="_blank" align="center"><img src="https://i.imgur.com/AhFHxG6.png" width="50px" height="50px"></a>
<a href="https://plus.google.com/u/0/106698639613319707124" target="_blank" align="center"><img src="https://i.imgur.com/QW4nDBE.png" width="50px" height="50px"></a>
<a href="https://github.com/yilong0722" target="_blank" align="center"><img src="https://i.imgur.com/Uzb3vvG.png" width="50px" height="50px"></a>
</div>

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# Run application locally on 8 cores
./bin/spark-submit \
  --class org.apache.spark.examples.SparkPi \
  --master local[8] \
  /path/to/examples.jar \
  100

# Run on a Spark standalone cluster in client deploy mode
./bin/spark-submit \
  --class org.apache.spark.examples.SparkPi \

longshilin

package spark

import org.apache.spark.SparkContext
import org.apache.spark.SparkContext._
import org.apache.spark.SparkConf

object wordcount extends App{
  val logFile = "hdfs://hadoop:9000/README.md"
  val conf = new SparkConf().setAppName("wordcount").setMaster("local")
  val sc = new SparkContext(conf)