install docker 18.06 on raspberry pi

最近在raspberry pi上面安裝docker 18.09後,
會發生無法啟動docker的問題.
因此需要降版至18.06,語法如下:

sudo apt-mark unhold docker-ce
sudo apt-get purge -y docker-ce
sudo apt-get autoremove -y --purge docker-ce
sudo apt-get autoclean
sudo rm -rf /var/lib/docker
export VERSION=18.06 && curl -sSL get.docker.com | sh
sudo apt-mark hold docker-ce

修改docker0網段

其中10.172.254.254是Getway,不要自作主張改成 192.168.1.0/24 or 10.172.0.0之類的..

yum install bridge-utils -y

service docker stop
ip link set dev docker0 down
brctl delbr docker0
iptables -t nat -F POSTROUTING


brctl addbr docker0
ip addr add 10.172.254.254/16 dev docker0
ip link set dev docker0 up


cat << EOF > /etc/docker/daemon.json
{
  "bip": "10.172.254.254/16"
}
EOF

systemctl daemon-reload
systemctl restart docker.service
reboot #如果有k8s則需要重開機

refer: https://blog.yowko.com/docker-172-17-ip/

在centos 7上安裝nvidia docker

#安裝 docker-ce
yum-config-manager --add-repo https://download.docker.com/linux/centos/docker-ce.repo
yum install docker-ce-18.06.0.ce -y
systemctl enable docker && systemctl start docker


# 移除舊版nvidia-docker
docker volume ls -q -f driver=nvidia-docker | xargs -r -I{} -n1 docker ps -q -a -f volume={} | xargs -r docker rm -f
sudo yum remove nvidia-docker

# 加入repositories
distribution=$(. /etc/os-release;echo $ID$VERSION_ID)
curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.repo | sudo tee /etc/yum.repos.d/nvidia-docker.repo

# 安裝 nvidia-docker2
sudo yum install -y nvidia-docker2
sudo pkill -SIGHUP dockerd

# 測試
docker run --runtime=nvidia --rm nvidia/cuda:9.0-base nvidia-smi

refer: https://github.com/NVIDIA/nvidia-docker

mongDB帳號設定

參考下列指令:

# 環境準備
docker rm -f mongodb_mongo_1
rm -r -f $PWD/db
mkdir -p $PWD/db

# 建立mongoDB
docker run \
  -d \
  --name mongodb_mongo_1 \
  -p 27017:27017 \
  -v $PWD/db:/data/db \
  mongo
sleep 5

# 建立超級管理者
docker exec -it mongodb_mongo_1 bash
mongo admin
db.createUser({ user: "admin" , pwd: "admin1234", roles: ["userAdminAnyDatabase", "dbAdminAnyDatabase", "readWriteAnyDatabase"]})
quit()
# 重新登入
mongo admin
db.auth("admin","admin1234")
use octblog
db.createUser({
    user: "gevin",
    pwd: "gevin1234",
    roles: [ { role: "readWrite", db: "octblog" },
             { role: "readWrite", db: "octblog-log" } ]
})
quit()

mongo octblog
db.auth("gevin","gevin1234")
use octblog
db.collection.insert({'test':1234});
quit()
exit

# 重啟mongoDB
docker rm -f mongodb_mongo_1
docker run \
  -d \
  --name mongodb_mongo_1 \
  -p 27017:27017 \
  -v $PWD/db:/data/db \
  mongo mongod --auth

MongoDB Replica Set高可用性的建置

  1. 建立三個MongoDB
echo "[info] 建立測試環境";
docker network create mongo-cluster >/dev/null 2>&1
docker rm -f mongo1 mongo2 mongo3 >/dev/null 2>&1
for i in 1 2 3
do
  echo "       mongo${i} 建立"
  docker run \
    -d \
    -p 3000$i:27017 \
    --name mongo$i \
    --net mongo-cluster \
    mongo mongod --replSet my-mongo-set >/dev/null 2>&1
done
  1. 接著設定三者關係,並強制設定electionTimeoutMillis為500ms.
echo "       設定mongo cluster"
docker exec -it mongo3 mongo --eval "config={\"_id\":\"my-mongo-set\",\"members\":[{\"_id\":0,\"host\":\"mongo1:27017\"},{\"_id\":1,\"host\":\"mongo2:27017\"},{\"_id\":2,\"host\":\"mongo3:27017\"}],\"settings\": { \"electionTimeoutMillis\": 500 }}; rs.initiate(config)"
  1. PHP測試
#https://github.com/mongodb/mongo-php-library
require_once __DIR__ . "/vendor/autoload.php";

try{
  $client = new MongoDB\Client("mongodb://mongo1:27017,mongo2:27017,mongo3:27017",[],[
    'typeMap' => [
      'array' => 'array',
      'document' => 'array',
      'root' => 'array',
    ],
  ]);
  $db = $client->selectDatabase('test');
  $cursor = $db->command(['isMaster' => 1]);
  echo "[info] 成功連線至: {$cursor->toArray()[0]['primary']}\n";

} catch(Exception $e) {
  echo "[error] 無法線連\n";
  exit;
}

{  //若Collection:testA不存在則建立.
  if((iterator_count($db->listCollections([
    'filter'=>[
      'name'=>'testA'
    ]
  ])))==0) //當數量為0時,建立testA
    $db->createCollection('testA');
}

//連線至Collection:testA
$collection=$db->selectCollection('testA');

//若沒有任何資料,則建立100則隨機資料
if($collection->count()==0){
  for($i=0;$i<100;$i++){
    $insertOneResult = $collection->insertOne([
      'idx' => $i,
      'value' => "{$i}, rand: ".rand(0,9999),
    ]);
  }
}

//取得最後三筆資料
foreach($collection->find([],[
  'limit' => 3,
  'projection' => ['_id'=>0],
  'sort' => [
    'idx'=>-1
  ]
]) as $rs){
  echo "\tidx:{$rs['idx']}\tvalue:{$rs['value']}\n";
}

以docker快速建立mysql測試環境

剛剛因為要測試mysql跟mariaDB的語法是否有不同
因此用下列語法快速建立mysql來進行測試

#建立mysql server
docker run \
  --name some-mysql \
  -e MYSQL_ROOT_PASSWORD=abcdefg \
  -d mysql:5.7
sleep 10

#建立mysql client
docker run \
  -it \
  --rm \
  --link some-mysql:mysqlA \
  mysql sh -c 'exec mysql -h mysqlA -uroot -pabcdefg'

SQL測試語法

create database TEST1;
use TEST1;
CREATE TABLE `test` (
  `id` int(11) NOT NULL,
  `geo` point DEFAULT NULL
);
INSERT INTO `test`(`id`, `geo`) VALUES (1,ST_GEOMFROMTEXT('POINT(121 23)',4326));
select * from `test` where 1;