Hadoop spark mongo复制集

启动hadoop
cd /usr/local/hadoop/hadoop
$hadoop namenode -format			# 启动前格式化namenode
$./sbin/start-all.sh
检查是否启动成功
[hadoop@hadoop1 hadoop]$ jps
16855 NodeManager
16999 Jps
16090 NameNode
16570 ResourceManager
16396 SecondaryNameNode
[hadoop@hadoop1 hadoop]$
/usr/local/hadoop/hadoop
[hadoop@hadoop2 hadoop]$ jps
1378 NodeManager
1239 DataNode
1528 Jps
[hadoop@hadoop2 hadoop]$

停止
$./sbin/stop-all.sh

启动spark
cd /usr/local/hadoop/spark/
./sbin/start-all.sh

检查是否启动成功
[hadoop@hadoop1 spark]$ jps
16855 NodeManager
17223 Master
17447 Jps
17369 Worker
16090 NameNode
16570 ResourceManager
16396 SecondaryNameNode
[hadoop@hadoop1 spark]$
[hadoop@hadoop2 spark]$ jps
1378 NodeManager
1239 DataNode
2280 Worker
2382 Jps
[hadoop@hadoop2 spark]$

停止
$./sbin/stop-all.sh

　　

pyspark_mongo复制集_hdfs_hbase

启动mongo复制集
[
/usr/local/mongodb/安装后，初始化
    mkdir -p /mnt/mongodb_data/{data,log};
    mkdir conf/;
    vim /usr/local/mongodb/conf/mongod.conf;

     [
       mv /mnt/mongodb_data/data /mnt/mongodb_data/data$(date +"%Y%m%d_%H%I%S");  mkdir /mnt/mongodb_data/data;
     ]
    ``
bind_ip=0.0.0.0
port=
dbpath=/mnt/mongodb_data/data
logpath=/mnt/mongodb_data/log/mongod.log
pidfilepath=/usr/local/mongodb/mongo.pid
fork=true
logappend=true

    scp /usr/local/mongodb/conf/mongod.conf root@hadoop2:/usr/local/mongodb/conf/;

    启动服务
    /usr/local/mongodb/bin/mongod -f /usr/local/mongodb/conf/mongod.conf
    进入读写窗设置admin账号
    /usr/local/mongodb/bin/mongo
use admin;
db.createUser(
  {
    user: "admin",
    pwd: "admin123",
    roles: [ { role: "userAdminAnyDatabase", db: "admin" } ,"clusterAdmin"]
  }
);

    检验是否添加成功
    db.getUsers()
    关闭服务mongod
    db.shutdownServer()
    退出mongo
    exit

    对配置文件加入ip限制和复制集配置
    vim /usr/local/mongodb/conf/mongod.conf;
replSet=repl_test
keyFile=/usr/local/mongodb/conf/keyFile
shardsvr=true
directoryperdb=true

    /usr/local/mongodb/bin/mongod -f /usr/local/mongodb/conf/mongod.conf
    进入任一节点mongo窗，进入读写
    /usr/local/mongodb/bin/mongo
    use admin;
    db.auth("admin","admin123");
    设置复制集
    rs.status();
    rs.();
    rs.status();
    rs.add("hadoop2:27017");
    rs.status();
    复制集无误后，库表、角色、用户设计；

    use pyspark;
    db.createUser(
   {
         user: "pyspark_admin",
         pwd: "admin123",
        roles: [ "readWrite", "dbAdmin" ]
       }
    );
    db.getRoles();
    db.getUsers();

    db.auth("pyspark_admin","admin123");
    show collections;
    db.createCollection('direct_ad_consume');
    db.createCollection('sem_z_cashier');
    show collections;

    db.createCollection('testpy');
    db.createCollection('departuredelays');
    db.createCollection('airport-codes-na');

    db.createCollection('ccFraud');

    db.sem_z_cashier.drop();
]

spark数据源;
单个大文件hdfs、hbase
序列化文件mongo复制集，可以考虑spark-mongo组件

执行spark
cd /usr/local/hadoop/

启动hadoop
cd /usr/local/hadoop/hadoop
$hadoop namenode -format            # 启动前格式化namenode
$./sbin/start-all.sh
检查是否启动成功
[hadoop@hadoop1 hadoop]$ jps
 NodeManager
 Jps
 NameNode
 ResourceManager
 SecondaryNameNode
[hadoop@hadoop1 hadoop]$
/usr/local/hadoop/hadoop
[hadoop@hadoop2 hadoop]$ jps
 NodeManager
 DataNode
 Jps
[hadoop@hadoop2 hadoop]$

停止
$./sbin/stop-all.sh

启动spark
cd /usr/local/hadoop/spark/
./sbin/start-all.sh

检查是否启动成功
[hadoop@hadoop1 spark]$ jps
 NodeManager
 Master
 Jps
 Worker
 NameNode
 ResourceManager
 SecondaryNameNode
[hadoop@hadoop1 spark]$
[hadoop@hadoop2 spark]$ jps
 NodeManager
 DataNode
 Worker
 Jps
[hadoop@hadoop2 spark]$

停止
$./sbin/stop-all.sh