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  • Wang 20:53 on 2018-01-31 Permalink | Reply
    Tags: , , macOS   

    Hive on macOS 

    When I run hive, I got error as below:

    Exception in thread "main" java.lang.ClassCastException: java.base/jdk.internal.loader.ClassLoaders$AppClassLoader cannot be cast to java.base/java.net.URLClassLoader
    at org.apache.hadoop.hive.ql.session.SessionState.(SessionState.java:394)
    at org.apache.hadoop.hive.ql.session.SessionState.(SessionState.java:370)
    at org.apache.hadoop.hive.cli.CliSessionState.(CliSessionState.java:60)
    at org.apache.hadoop.hive.cli.CliDriver.run(CliDriver.java:708)
    at org.apache.hadoop.hive.cli.CliDriver.main(CliDriver.java:686)
    at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
    at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.base/java.lang.reflect.Method.invoke(Method.java:564)
    at org.apache.hadoop.util.RunJar.run(RunJar.java:234)
    at org.apache.hadoop.util.RunJar.main(RunJar.java:148)
    
    

    I’m wired about the error that cast class in different jdk versions, I have set JAVA_HOME in profile, why I still got this error?

    I tested java version, it’s jdk1.8

    wanghongmeng:2.3.1 gizmo$ java -version
    java version "1.8.0_151"
    Java(TM) SE Runtime Environment (build 1.8.0_151-b12)
    Java HotSpot(TM) 64-Bit Server VM (build 25.151-b12, mixed mode)
    

    But when I checked jdk’s installed directory, I found /Library/Java/Home was linked to jdk9’s home, I never used jdk9, so I uninstalled jdk9, and linked /Library/Java/Home to jdk1.8’s home.

    After this, problem solved.😀😀

     
  • Wang 20:59 on 2018-01-27 Permalink | Reply
    Tags: , ,   

    dapanji!!

     
  • Wang 22:18 on 2018-01-26 Permalink | Reply
    Tags: , , , , marathon, Mesos, , Zookeeper   

    Install Mesos/Marathon 

    I applied GCE recently, so I installed Mesos/Marathon for test.

    Compute Engine: n1-standard-1 (1 vCPU, 3.75 GB, Intel Ivy Bridge, asia-east1-a region)

    OS: CentOS 7

    10.140.0.1 master
    10.140.0.2 slave1
    10.140.0.3 slave2
    10.140.0.4 slave3
    

    Prepare

    1.install git

    sudo yum install -y tar wget git
    

    2.install and import apache maven repository

    sudo wget http://repos.fedorapeople.org/repos/dchen/apache-maven/epel-apache-maven.repo -O /etc/yum.repos.d/epel-apache-maven.repo
    sudo yum install -y epel-release
    sudo bash -c 'cat > /etc/yum.repos.d/wandisco-svn.repo <<EOF
    [WANdiscoSVN]
    name=WANdisco SVN Repo 1.9
    enabled=1
    baseurl=http://opensource.wandisco.com/centos/7/svn-1.9/RPMS/$basearch/
    gpgcheck=1
    gpgkey=http://opensource.wandisco.com/RPM-GPG-KEY-WANdisco
    EOF'
    

    3.install tools

    sudo yum update systemd
    sudo yum groupinstall -y "Development Tools"
    sudo yum install -y apache-maven python-devel python-six python-virtualenv java-1.8.0-openjdk-devel zlib-devel libcurl-devel openssl-devel cyrus-sasl-devel cyrus-sasl-md5 apr-devel subversion-devel apr-util-devel
    

    Installation

    1.append hosts

    cat << EOF >>/etc/hosts
    10.140.0.1 master
    10.140.0.2 slave1
    10.140.0.3 slave2
    10.140.0.4 slave3
    EOF
    

    2.zookeeper

    2.1.install zookeeper on slave1/slave2/slave3

    2.2.modify conf/zoo.cfg on slave1/slave2/slave3

    cat << EOF > conf/zoo.cfg
    tickTime=2000
    initLimit=10
    syncLimit=5
    dataDir=./data
    clientPort=2181
    maxClientCnxns=0
    autopurge.snapRetainCount=3
    autopurge.purgeInterval=0
    leaderServes=yes
    skipAcl=no
    server.1=slave1:2888:3888
    server.2=slave2:2889:3889
    server.3=slave3:2890:3890
    EOF
    

    2.3.create data folder, and write serverid to myid on slave1/slave2/slave3, id is equals server’s sequence

    mkdir data && echo ${id} > data/myid
    

    2.4.start zookeeper on slave1/slave2/slave3, check zk’s status

    bin/zkServer.sh start
    bin/zkServer.sh status
    

    3.mesos

    3.1.install and import mesos repository on each server

    rpm -Uvh http://repos.mesosphere.io/el/7/noarch/RPMS/mesosphere-el-repo-7-1.noarch.rpm
    rpm --import /etc/pki/rpm-gpg/RPM-GPG-KEY-mesosphere
    

    3.2.install mesos on each server

    yum install mesos -y
    

    3.3.modify mesos-master’s zk address on master/slave1

    echo "zk://slave1:2181,slave2:2181,slave3:2181/mesos" >/etc/mesos/zk
    

    3.4.modify quorum of mesos-master on master/slave1

    echo 2 > /etc/mesos-master/quorum
    

    3.5. start master and enable auto start on master/slave1

    systemctl enable mesos-master.service
    systemctl start mesos-slave.service
    

    3.6.start slave and enable auto start on slave1/slave2/slave3

    systemctl enable mesos-slave.service
    systemctl start mesos-slave.service
    

    4.marathon

    4.1.install marathon on master

    yum install marathon -y
    

    4.2.config master/zk address on master

    cat << EOF >>/etc/default/marathon
    MARATHON_MASTER="zk://slave1:2181,slave2:2181,slave3:2181/mesos"
    MARATHON_ZK="zk://slave1:2181,slave2:2181,slave3:2181/marathon"
    EOF
    

    4.3.start marathon and enable auto start on master

    systemctl enable marathon.service
    systemctl start marathon.service
    

    Test

    mesos: http://master:5050

    marathon: http://master:8080w

     
  • Wang 20:05 on 2018-01-22 Permalink | Reply
    Tags: , docker swarm,   

    Deploy apps with docker swarm 

    I received alert email that my website crushed down, after checking, I found mysql container is stoped..

    I checked system log, found infos as below:

    Jan 22 18:42:39 ip-172-31-28-84 kernel: Out of memory: Kill process 597 (mysqld) score 226 or sacrifice child
    Jan 22 18:42:39 ip-172-31-28-84 kernel: Killed process 597 (mysqld) total-vm:1128616kB, anon-rss:228980kB, file-rss:0kB, shmem-rss:0kB
    

    I think the process is killed by kernel for lack of memory, because the server only has 1GB memory ..

    [root@ip-172-31-28-84 log]# free -h
                  total        used        free      shared  buff/cache   available
    Mem:           990M        559M         83M        113M        348M        133M
    Swap:            0B          0B          0B
    

    I restarted mysql container, and check containers’s status:

    [root@ip-172-31-28-84 log]# docker stats --no-stream
    CONTAINER           CPU %               MEM USAGE / LIMIT     MEM %               NET I/O             BLOCK I/O           PIDS
    9e5a47485105        0.00%               28.66MiB / 990.8MiB   2.89%               90.9MB / 43.2MB     24.9MB / 0B         2
    c9187825cc0c        0.00%               273.8MiB / 990.8MiB   27.63%              3.95GB / 1.02GB     11GB / 2.58MB       11
    628e301d00a1        0.04%               217.9MiB / 990.8MiB   21.99%              10.4MB / 136MB      101MB / 363MB       31
    

    there is no limitation on resources, so mysql will occupy more memory which caused being killed.

    After thinking about this, I decided deploy by docker swarm which will start container if stoped, and also could restrict resources for every container.

    1.init docker swarm on single server

    docker swarm init
    

    2.modify blog-compose.yml to support swarm, please follow gist

    https://gist.githubusercontent.com/hongmengwang/c5ca0368f5de15a612972c4bb676d409/raw/d8d706bb42769f20506d00f01603f34686b4fac9/blog-compose.yml
    

    3.deploy service

    docker stack deploy -c blog-compose.yml blog
    

    4.check container status

    [root@ip-172-31-28-84 docker]# docker stack services blog
    ID                  NAME                MODE                REPLICAS            IMAGE               PORTS
    0l68syg6q1bi        blog_nginx          replicated          1/1                 nginx:1.13.8        *:80->80/tcp,*:443->443/tcp
    cx82xalbzdzu        blog_wordpress      replicated          1/1                 wordpress:4.9.1     
    xulj5sbkbapb        blog_mysql          replicated          1/1                 mysql:5.7           
    

    5.check container stats

    [root@ip-172-31-28-84 docker]# docker stats --no-stream
    CONTAINER           CPU %               MEM USAGE / LIMIT   MEM %               NET I/O             BLOCK I/O           PIDS
    08bc88c00f0c        0.04%               189.7MiB / 250MiB   75.86%              70.5kB / 1.02MB     14MB / 13.9MB       30
    64d37b150392        0.00%               29.02MiB / 50MiB    58.05%              12.6kB / 14.7kB     1.24MB / 0B         2
    f33ecf2c045e        0.00%               92.32MiB / 300MiB   30.77%              1.03MB / 76.8kB     27.8MB / 0B         9
    

    The memory of each container is restricted, it will not occupy more memory than limitation, I will keep on watching to see if works well.

     
  • Wang 19:05 on 2018-01-20 Permalink | Reply
    Tags: aliyun, , , ,   

    Proxy Aliyun’s domain to AWS’s server 

    I registed my domain “wanghongmeng.com” on Aliyun, and applied free EC2 server for one year on AWS.

    After building my blog on AWS, I set A parse to the server’s IP of AWS.

    But yesterday I received email from Aliyun which said that my server was not in Aliyun after they checking, it was not allowed, I have to miggrate my blog server to Aliyun, otherwise they will undo my authority number.

    After thinking about this, for saving money(Aliyun is not free for one year), I solved it by the way below:

    1.Set A parse to my friend’s server ip which was bought in Aliyun

    2.Add a piece of configuration in his nginx.conf:

    server {
        listen  80;
        server_name  wanghongmeng.com www.wanghongmeng.com;
    
        location / {
            rewrite ^/(.*)$ https://$server_name/$1 permanent;
        }
    }
    
    server {
        listen 443;
        server_name wanghongmeng.com www.wanghongmeng.com;
        ssl on;
        ssl_certificate "Location of Pem File";
        ssl_certificate_key "Location of Key File";
        ssl_session_timeout 5m;
        ssl_protocols TLSv1 TLSv1.1 TLSv1.2;
        ssl_ciphers "Your Algorithm";
        ssl_session_cache shared:SSL:50m;
        ssl_prefer_server_ciphers on;
    
        location / {
            proxy_pass  http://AWS's IP:443/;
        }
    }
    

    3.Expose 443 port on my AWS, and only accept requests from my friend’s server IP:

    server {
        listen  443;
        
        set $flag 0;
        if ($host = 'www.wanghongmeng.com') {
            set $flag 1;
        }
        if ($host = 'wanghongmeng.com') {
            set $flag 1;
        }
        if ($flag = 0){
            return 403;
        }    
        
        location / {
            allow "My Friend's Server IP";
            proxy_pass  http://blog-ip;
        }
    }
    

    Things done! 😀😀

     
  • Wang 18:29 on 2018-01-13 Permalink | Reply
    Tags: , ,   

    Prevent web site being mirrored 

    I thought something before, when I check nginx’s log, I found a wired hostname.

    After checking, I think our website was mirrored.

    I think they parsed their domain by CNAME to our domain, and we don’t do any host check at that time.

    To prevent being mirrored again, I add host check configuration in nginx.conf

    set $flag 0;
    if ($host = 'www.wanghongmeng.com') {
        set $flag 1;
    }
    if ($host = 'wanghongmeng.com') {
        set $flag 1;
    }
    if ($flag = 0){
        return 403;
    }
    

    By adding this, nginx will check every request to see if it’s from our domain, if not, return 403 response code.

    After this, our website was no longer mirrored again.

    Nginx Version: 1.9.12

     
  • Wang 23:29 on 2018-01-10 Permalink | Reply
    Tags: , ,   

    switch..😂😂

     
  • Wang 22:09 on 2018-01-09 Permalink | Reply
    Tags: ,   

    start writing with gist, https://gist.github.com/hongmengwang

     
  • Wang 22:30 on 2018-01-08 Permalink | Reply
    Tags: ,   

    delicious..

     
  • Wang 19:34 on 2018-01-07 Permalink | Reply
    Tags: , ,   

    interesting..

     
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