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  • 实战2——Hadoop的日志分析

    1). 日志格式分析
    首先分析 Hadoop 的日志格式, 日志是一行一条, 日志格式可以依次描述为:日期、时间、级别、相关类和提示信息。如下所示: 

    2013-03-06 15:23:48,132 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: STARTUP_MSG:
    /************************************************************
    STARTUP_MSG: Starting DataNode
    STARTUP_MSG:   host = ubuntu/127.0.0.1
    STARTUP_MSG:   args = []
    STARTUP_MSG:   version = 1.1.1
    STARTUP_MSG:   build = https://svn.apache.org/repos/asf/hadoop/common/branches/branch-1.1 -r 1411108; compiled by 'hortonfo' on Mon Nov 19 10:48:11 UTC 2012
    ************************************************************/
    2013-03-06 15:23:48,288 INFO org.apache.hadoop.metrics2.impl.MetricsConfig: loaded properties from hadoop-metrics2.properties
    2013-03-06 15:23:48,298 INFO org.apache.hadoop.metrics2.impl.MetricsSourceAdapter: MBean for source MetricsSystem,sub=Stats registered.
    2013-03-06 15:23:48,299 INFO org.apache.hadoop.metrics2.impl.MetricsSystemImpl: Scheduled snapshot period at 10 second(s).
    2013-03-06 15:23:48,299 INFO org.apache.hadoop.metrics2.impl.MetricsSystemImpl: DataNode metrics system started
    2013-03-06 15:23:48,423 INFO org.apache.hadoop.metrics2.impl.MetricsSourceAdapter: MBean for source ugi registered.
    2013-03-06 15:23:48,427 WARN org.apache.hadoop.metrics2.impl.MetricsSystemImpl: Source name ugi already exists!
    2013-03-06 15:23:53,094 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Registered FSDatasetStatusMBean
    2013-03-06 15:23:53,102 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Opened data transfer server at 50010
    2013-03-06 15:23:53,105 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Balancing bandwith is 1048576 bytes/s
    2013-03-06 15:23:58,189 INFO org.mortbay.log: Logging to org.slf4j.impl.Log4jLoggerAdapter(org.mortbay.log) via org.mortbay.log.Slf4jLog
    2013-03-06 15:23:58,331 INFO org.apache.hadoop.http.HttpServer: Added global filtersafety (class=org.apache.hadoop.http.HttpServer$QuotingInputFilter)
    2013-03-06 15:23:58,346 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: dfs.webhdfs.enabled = false
    2013-03-06 15:23:58,346 INFO org.apache.hadoop.http.HttpServer: Port returned by webServer.getConnectors()[0].getLocalPort() before open() is -1. Opening the listener on 50075
    2013-03-06 15:23:58,346 INFO org.apache.hadoop.http.HttpServer: listener.getLocalPort() returned 50075 webServer.getConnectors()[0].getLocalPort() returned 50075
    2013-03-06 15:23:58,346 INFO org.apache.hadoop.http.HttpServer: Jetty bound to port 50075
    2013-03-06 15:23:58,347 INFO org.mortbay.log: jetty-6.1.26
    2013-03-06 15:23:58,719 INFO org.mortbay.log: Started SelectChannelConnector@0.0.0.0:50075
    2013-03-06 15:23:58,724 INFO org.apache.hadoop.metrics2.impl.MetricsSourceAdapter: MBean for source jvm registered.
    2013-03-06 15:23:58,726 INFO org.apache.hadoop.metrics2.impl.MetricsSourceAdapter: MBean for source DataNode registered.
    2013-03-06 15:24:03,904 INFO org.apache.hadoop.ipc.Server: Starting SocketReader
    2013-03-06 15:24:03,909 INFO org.apache.hadoop.metrics2.impl.MetricsSourceAdapter: MBean for source RpcDetailedActivityForPort50020 registered.
    2013-03-06 15:24:03,909 INFO org.apache.hadoop.metrics2.impl.MetricsSourceAdapter: MBean for source RpcActivityForPort50020 registered.
    2013-03-06 15:24:03,910 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: dnRegistration = DatanodeRegistration(localhost.localdomain:50010, storageID=DS-2039125727-127.0.1.1-50010-1362105928671, infoPort=50075, ipcPort=50020)
    2013-03-06 15:24:03,922 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Finished generating blocks being written report for 1 volumes in 0 seconds
    2013-03-06 15:24:03,926 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Starting asynchronous block report scan
    2013-03-06 15:24:03,926 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: DatanodeRegistration(192.168.11.157:50010, storageID=DS-2039125727-127.0.1.1-50010-1362105928671, infoPort=50075, ipcPort=50020)In DataNode.run, data = FSDataset{dirpath='/home/hadoop/hadoop-datastore/dfs/data/current'}
    2013-03-06 15:24:03,932 INFO org.apache.hadoop.ipc.Server: IPC Server listener on 50020: starting
    2013-03-06 15:24:03,932 INFO org.apache.hadoop.ipc.Server: IPC Server Responder: starting
    2013-03-06 15:24:03,934 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Finished asynchronous block report scan in 8ms
    2013-03-06 15:24:03,934 INFO org.apache.hadoop.ipc.Server: IPC Server handler 0 on 50020: starting
    2013-03-06 15:24:03,934 INFO org.apache.hadoop.ipc.Server: IPC Server handler 1 on 50020: starting
    2013-03-06 15:24:03,950 INFO org.apache.hadoop.ipc.Server: IPC Server handler 2 on 50020: starting
    2013-03-06 15:24:03,951 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: using BLOCKREPORT_INTERVAL of 3600000msec Initial delay: 0msec
    2013-03-06 15:24:03,956 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Reconciled asynchronous block report against current state in 1 ms
    2013-03-06 15:24:03,961 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: BlockReport of 12 blocks took 1 msec to generate and 5 msecs for RPC and NN processing
    2013-03-06 15:24:03,962 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Starting Periodic block scanner.
    2013-03-06 15:24:03,962 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Generated rough (lockless) block report in 0 ms
    2013-03-06 15:24:03,962 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Reconciled asynchronous block report against current state in 0 ms
    2013-03-06 15:24:04,004 INFO org.apache.hadoop.util.NativeCodeLoader: Loaded the native-hadoop library
    2013-03-06 15:24:04,047 INFO org.apache.hadoop.hdfs.server.datanode.DataBlockScanner: Verification succeeded for blk_3810479607061332370_1201
    2013-03-06 15:24:34,274 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Receiving block blk_8724520321365706382_1202 src: /192.168.11.157:42695 dest: /192.168.11.157:50010
    2013-03-06 15:24:34,282 INFO org.apache.hadoop.hdfs.server.datanode.DataNode.clienttrace: src: /192.168.11.157:42695, dest: /192.168.11.157:50010, bytes: 4, op: HDFS_WRITE, cliID: DFSClient_NONMAPREDUCE_-328627796_1, offset: 0, srvID: DS-2039125727-127.0.1.1-50010-1362105928671, blockid: blk_8724520321365706382_1202, duration: 1868644
    2013-03-06 15:24:34,282 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: PacketResponder 0 for block blk_8724520321365706382_1202 terminating
    2013-03-06 15:24:36,967 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Scheduling block blk_3810479607061332370_1201 file /home/hadoop/hadoop-datastore/dfs/data/current/blk_3810479607061332370 for deletion
    2013-03-06 15:24:36,969 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Deleted block blk_3810479607061332370_1201 at file /home/hadoop/hadoop-datastore/dfs/data/current/blk_3810479607061332370
    2013-03-06 15:24:42,130 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Receiving block blk_-7687594967083109639_1203 src: /192.168.11.157:42698 dest: /192.168.11.157:50010
    2013-03-06 15:24:42,135 INFO org.apache.hadoop.hdfs.server.datanode.DataNode.clienttrace: src: /192.168.11.157:42698, dest: /192.168.11.157:50010, bytes: 3, op: HDFS_WRITE, cliID: DFSClient_hb_m_localhost.localdomain,60000,1362554661390_792638511_9, offset: 0, srvID: DS-2039125727-127.0.1.1-50010-1362105928671, blockid: blk_-7687594967083109639_1203, duration: 1823671
    2013-03-06 15:24:42,135 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: PacketResponder 0 for block blk_-7687594967083109639_1203 terminating
    2013-03-06 15:24:42,159 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Receiving block blk_8851175106166281673_1204 src: /192.168.11.157:42699 dest: /192.168.11.157:50010
    2013-03-06 15:24:42,162 INFO org.apache.hadoop.hdfs.server.datanode.DataNode.clienttrace: src: /192.168.11.157:42699, dest: /192.168.11.157:50010, bytes: 38, op: HDFS_WRITE, cliID: DFSClient_hb_m_localhost.localdomain,60000,1362554661390_792638511_9, offset: 0, srvID: DS-2039125727-127.0.1.1-50010-1362105928671, blockid: blk_8851175106166281673_1204, duration: 496431
    2013-03-06 15:24:42,163 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: PacketResponder 0 for block blk_8851175106166281673_1204 terminating
    2013-03-06 15:24:42,177 INFO org.apache.hadoop.hdfs.server.datanode.DataNode.clienttrace: src: /192.168.11.157:50010, dest: /192.168.11.157:42700, bytes: 42, op: HDFS_READ, cliID: DFSClient_hb_m_localhost.localdomain,60000,1362554661390_792638511_9, offset: 0, srvID: DS-2039125727-127.0.1.1-50010-1362105928671, blockid: blk_8851175106166281673_1204, duration: 598594
    2013-03-06 15:24:42,401 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Receiving block blk_-3564732110216498100_1206 src: /192.168.11.157:42701 dest: /192.168.11.157:50010
    2013-03-06 15:24:42,402 INFO org.apache.hadoop.hdfs.server.datanode.DataNode.clienttrace: src: /192.168.11.157:42701, dest: /192.168.11.157:50010, bytes: 109, op: HDFS_WRITE, cliID: DFSClient_hb_m_localhost.localdomain,60000,1362554661390_792638511_9, offset: 0, srvID: DS-2039125727-127.0.1.1-50010-1362105928671, blockid: blk_-3564732110216498100_1206, duration: 465158
    2013-03-06 15:24:42,404 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: PacketResponder 0 for block blk_-3564732110216498100_1206 terminating
    2013-03-06 15:24:42,593 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Receiving block blk_2602280850343619161_1208 src: /192.168.11.157:42702 dest: /192.168.11.157:50010
    2013-03-06 15:24:42,594 INFO org.apache.hadoop.hdfs.server.datanode.DataNode.clienttrace: src: /192.168.11.157:42702, dest: /192.168.11.157:50010, bytes: 111, op: HDFS_WRITE, cliID: DFSClient_hb_m_localhost.localdomain,60000,1362554661390_792638511_9, offset: 0, srvID: DS-2039125727-127.0.1.1-50010-1362105928671, blockid: blk_2602280850343619161_1208, duration: 457596
    2013-03-06 15:24:42,595 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: PacketResponder 0 for block blk_2602280850343619161_1208 terminating
    2013-03-06 15:24:42,620 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Receiving block blk_-8499292753361571333_1208 src: /192.168.11.157:42703 dest: /192.168.11.157:50010
    2013-03-06 15:24:42,673 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Receiving block blk_2168216133004853837_1209 src: /192.168.11.157:42704 dest: /192.168.11.157:50010
    2013-03-06 15:24:42,676 INFO org.apache.hadoop.hdfs.server.datanode.DataNode.clienttrace: src: /192.168.11.157:42704, dest: /192.168.11.157:50010, bytes: 848, op: HDFS_WRITE, cliID: DFSClient_hb_m_localhost.localdomain,60000,1362554661390_792638511_9, offset: 0, srvID: DS-2039125727-127.0.1.1-50010-1362105928671, blockid: blk_2168216133004853837_1209, duration: 705024
    2013-03-06 15:24:42,676 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: PacketResponder 0 for block blk_2168216133004853837_1209 terminating
    2013-03-06 15:24:42,691 INFO org.apache.hadoop.hdfs.server.datanode.DataNode.clienttrace: src: /192.168.11.157:50010, dest: /192.168.11.157:42705, bytes: 340, op: HDFS_READ, cliID: DFSClient_hb_m_localhost.localdomain,60000,1362554661390_792638511_9, offset: 512, srvID: DS-2039125727-127.0.1.1-50010-1362105928671, blockid: blk_2168216133004853837_1209, duration: 913742
    2013-03-06 15:24:42,709 INFO org.apache.hadoop.hdfs.server.datanode.DataNode.clienttrace: src: /192.168.11.157:50010, dest: /192.168.11.157:42706, bytes: 856, op: HDFS_READ, cliID: DFSClient_hb_m_localhost.localdomain,60000,1362554661390_792638511_9, offset: 0, srvID: DS-2039125727-127.0.1.1-50010-1362105928671, blockid: blk_2168216133004853837_1209, duration: 462507
    2013-03-06 15:24:42,724 INFO org.apache.hadoop.hdfs.server.datanode.DataNode.clienttrace: src: /192.168.11.157:50010, dest: /192.168.11.157:42707, bytes: 340, op: HDFS_READ, cliID: DFSClient_hb_m_localhost.localdomain,60000,1362554661390_792638511_9, offset: 512, srvID: DS-2039125727-127.0.1.1-50010-1362105928671, blockid: blk_2168216133004853837_1209, duration: 364763
    2013-03-06 15:24:42,726 INFO org.apache.hadoop.hdfs.server.datanode.DataNode.clienttrace: src: /192.168.11.157:50010, dest: /192.168.11.157:42708, bytes: 856, op: HDFS_READ, cliID: DFSClient_hb_m_localhost.localdomain,60000,1362554661390_792638511_9, offset: 0, srvID: DS-2039125727-127.0.1.1-50010-1362105928671, blockid: blk_2168216133004853837_1209, duration: 432228
    2013-03-06 15:24:42,739 INFO org.apache.hadoop.hdfs.server.datanode.DataNode.clienttrace: src: /192.168.11.157:42703, dest: /192.168.11.157:50010, bytes: 421, op: HDFS_WRITE, cliID: DFSClient_hb_m_localhost.localdomain,60000,1362554661390_792638511_9, offset: 0, srvID: DS-2039125727-127.0.1.1-50010-1362105928671, blockid: blk_-8499292753361571333_1208, duration: 116933097
    2013-03-06 15:24:42,739 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: PacketResponder 0 for block blk_-8499292753361571333_1208 terminating
    2013-03-06 15:24:42,759 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Receiving block blk_-6232731177153285690_1209 src: /192.168.11.157:42709 dest: /192.168.11.157:50010
    2013-03-06 15:24:42,764 INFO org.apache.hadoop.hdfs.server.datanode.DataNode.clienttrace: src: /192.168.11.157:42709, dest: /192.168.11.157:50010, bytes: 134, op: HDFS_WRITE, cliID: DFSClient_hb_m_localhost.localdomain,60000,1362554661390_792638511_9, offset: 0, srvID: DS-2039125727-127.0.1.1-50010-1362105928671, blockid: blk_-6232731177153285690_1209, duration: 2742705
    2013-03-06 15:24:42,765 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: PacketResponder 0 for block blk_-6232731177153285690_1209 terminating
    2013-03-06 15:24:42,803 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Receiving block blk_6878738047819289992_1210 src: /192.168.11.157:42710 dest: /192.168.11.157:50010
    2013-03-06 15:24:42,806 INFO org.apache.hadoop.hdfs.server.datanode.DataNode.clienttrace: src: /192.168.11.157:42710, dest: /192.168.11.157:50010, bytes: 727, op: HDFS_WRITE, cliID: DFSClient_hb_m_localhost.localdomain,60000,1362554661390_792638511_9, offset: 0, srvID: DS-2039125727-127.0.1.1-50010-1362105928671, blockid: blk_6878738047819289992_1210, duration: 1048999
    2013-03-06 15:24:42,807 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: PacketResponder 0 for block blk_6878738047819289992_1210 terminating
    2013-03-06 15:24:49,347 INFO org.apache.hadoop.hdfs.server.datanode.DataNode.clienttrace: src: /192.168.11.157:50010, dest: /192.168.11.157:42716, bytes: 340, op: HDFS_READ, cliID: DFSClient_hb_rs_localhost.localdomain,60020,1362554662758_1605864397_26, offset: 512, srvID: DS-2039125727-127.0.1.1-50010-1362105928671, blockid: blk_2168216133004853837_1209, duration: 317106
    2013-03-06 15:24:49,359 INFO org.apache.hadoop.hdfs.server.datanode.DataNode.clienttrace: src: /192.168.11.157:50010, dest: /192.168.11.157:42717, bytes: 856, op: HDFS_READ, cliID: DFSClient_hb_rs_localhost.localdomain,60020,1362554662758_1605864397_26, offset: 0, srvID: DS-2039125727-127.0.1.1-50010-1362105928671, blockid: blk_2168216133004853837_1209, duration: 460452
    2013-03-06 15:24:49,455 INFO org.apache.hadoop.hdfs.server.datanode.DataNode.clienttrace: src: /192.168.11.157:50010, dest: /192.168.11.157:42718, bytes: 516, op: HDFS_READ, cliID: DFSClient_hb_rs_localhost.localdomain,60020,1362554662758_1605864397_26, offset: 0, srvID: DS-2039125727-127.0.1.1-50010-1362105928671, blockid: blk_2168216133004853837_1209, duration: 264641
    2013-03-06 15:24:49,456 INFO org.apache.hadoop.hdfs.server.datanode.DataNode.clienttrace: src: /192.168.11.157:50010, dest: /192.168.11.157:42719, bytes: 516, op: HDFS_READ, cliID: DFSClient_hb_rs_localhost.localdomain,60020,1362554662758_1605864397_26, offset: 0, srvID: DS-2039125727-127.0.1.1-50010-1362105928671, blockid: blk_2168216133004853837_1209, duration: 224282
    2013-03-06 15:24:50,615 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Receiving block blk_-55581707144444311_1211 src: /192.168.11.157:42722 dest: /192.168.11.157:50010
    2013-03-06 15:38:17,696 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: SHUTDOWN_MSG:
    /************************************************************
    SHUTDOWN_MSG: Shutting down DataNode at ubuntu/127.0.0.1
    ************************************************************/


    表的定义如下:

    create table if not exists loginfo(
    rdate string,
    time array<string>,
    type string,
    relateclass string,
    information1 string,
    information2 string,
    information3 string)
row format delimited fields terminated by ' '
collection items terminated by ','  
map keys terminated by  ':';

    2). 程序设计
    本程序是在个人机器用 Eclipse 开发,该程序连接 Hadoop 集群,处理完的结果存储在MySQL 服务器上。下面是程序开发示例图。

    MySQL 数据库的存储信息的表“hadooplog”的 SQL 语句如下:

    drop table if exists  hadooplog;
create table hadooplog(
    id int(11) not null auto_increment,
    rdate varchar(50)  null,
    time varchar(50) default null,
    type varchar(50) default null,
    relateclass tinytext default null,
    information longtext default null,
    primary key (id)
) engine=innodb default charset=utf8;

    操作如下：

    登录mysql数据库:
    hadoop@ubuntu:~$ mysql -uhive -pmysql;
    创建数据库hive:
    mysql> create database hive;
    导入SQL语句创建表hadooplog:
    mysql> use hive;
    mysql> source /home/hadoop/ziliao/hadooplog.sql;
    mysql> desc hadooplog;

     3). 程序代码

    DBHelper: 负责建立与 Hive 和 MySQL 的连接

    package com.ljq.hive;

import java.sql.Connection;
import java.sql.DriverManager;
import java.sql.SQLException;

/**
 * 该类的主要功能是负责建立与 Hive 和 MySQL 的连接, 由于每个连接的开销比较大, 所以此类的设计采用设计模式中的单例模式。
 */
class DBHelper {
        private static Connection connToHive = null;
        private static Connection connToMySQL = null;

        private DBHelper() {
        }

        // 获得与 Hive 连接,如果连接已经初始化,则直接返回
        public static Connection getHiveConn() throws SQLException {
                if (connToHive == null) {
                        try {
                                Class.forName("org.apache.hadoop.hive.jdbc.HiveDriver");
                        } catch (ClassNotFoundException err) {
                                err.printStackTrace();
                                System.exit(1);
                        }
                        connToHive = DriverManager.getConnection("jdbc:hive://192.168.11.157:10000/default", "hive", "mysql");
                }
                return connToHive;
        }

        // 获得与 MySQL 连接
        public static Connection getMySQLConn() throws SQLException {
                if (connToMySQL == null) {
                        try {
                                Class.forName("com.mysql.jdbc.Driver");
                        } catch (ClassNotFoundException err) {
                                err.printStackTrace();
                                System.exit(1);
                        }

                        connToMySQL = DriverManager.getConnection("jdbc:mysql://192.168.11.157:3306/hive?useUnicode=true&characterEncoding=UTF8",
                                        "root", "mysql"); //编码不要写成UTF-8
                }
                return connToMySQL;
        }

        public static void closeHiveConn() throws SQLException {
                if (connToHive != null) {
                        connToHive.close();
                }
        }

        public static void closeMySQLConn() throws SQLException {
                if (connToMySQL != null) {
                        connToMySQL.close();
                }
        }
        
        public static void main(String[] args) throws SQLException {
                System.out.println(getMySQLConn());
                closeMySQLConn();
        }

}

    HiveUtil:针对 Hive 的工具类

    package com.ljq.hive;

import java.sql.Connection;
import java.sql.ResultSet;
import java.sql.SQLException;
import java.sql.Statement;

/**
 * 
 * 针对 Hive 的工具类
 */
class HiveUtil {
        // 创建表
        public static void createTable(String sql) throws SQLException {
                Connection conn = DBHelper.getHiveConn();
                Statement stmt = conn.createStatement();
                ResultSet res = stmt.executeQuery(sql);
        }

        // 依据条件查询数据
        public static ResultSet queryData(String sql) throws SQLException {
                Connection conn = DBHelper.getHiveConn();
                Statement stmt = conn.createStatement();
                ResultSet res = stmt.executeQuery(sql);
                return res;
        }

        // 加载数据
        public static void loadData(String sql) throws SQLException {
                Connection conn = DBHelper.getHiveConn();
                Statement stmt = conn.createStatement();
                ResultSet res = stmt.executeQuery(sql);
        }

        // 把数据存储到 MySQL 中
        public static void hiveToMySQL(ResultSet res) throws SQLException {
                Connection conn = DBHelper.getMySQLConn();
                Statement stmt = conn.createStatement();
                while (res.next()) {
                        String rdate = res.getString(1);
                        String time = res.getString(2);
                        String type = res.getString(3);
                        String relateclass = res.getString(4);
                        String information = res.getString(5) + res.getString(6) + res.getString(7);
                        StringBuffer sql = new StringBuffer();
                        sql.append("insert into hadooplog values(0,'");
                        sql.append(rdate + "','");
                        sql.append(time + "','");
                        sql.append(type + "','");
                        sql.append(relateclass + "','");
                        sql.append(information + "')");

                        int i = stmt.executeUpdate(sql.toString());
                }
        }
}

    AnalyszeHadoopLog

    package com.ljq.hive;

import java.sql.ResultSet;
import java.sql.SQLException;

public class AnalyszeHadoopLog {

        public static void main(String[] args) throws SQLException {
                StringBuffer sql = new StringBuffer();

                // 第一步:在 Hive 中创建表
                sql.append("create table if not exists loginfo( ");
                sql.append("rdate string,  ");
                sql.append("time array<string>, ");
                sql.append("type string, ");
                sql.append("relateclass string, ");
                sql.append("information1 string, ");
                sql.append("information2 string, ");
                sql.append("information3 string)  ");
                sql.append("row format delimited fields terminated by ' '  ");
                sql.append("collection items terminated by ','   ");
                sql.append("map keys terminated by  ':'");

                System.out.println(sql);
                HiveUtil.createTable(sql.toString());

                // 第二步:加载 Hadoop 日志文件
                sql.delete(0, sql.length());
                sql.append("load data local inpath ");
                sql.append("'/home/hadoop/ziliao/hadoop.log'");
                sql.append(" overwrite into table loginfo");
                System.out.println(sql);
                HiveUtil.loadData(sql.toString());

                // 第三步:查询有用信息
                sql.delete(0, sql.length());
                sql.append("select rdate,time[0],type,relateclass,");
                sql.append("information1,information2,information3 ");
                sql.append("from loginfo where type='INFO'");
                System.out.println(sql);
                ResultSet res = HiveUtil.queryData(sql.toString());
                // 第四步:查出的信息经过变换后保存到 MySQL 中
                HiveUtil.hiveToMySQL(res);
                // 第五步:关闭 Hive 连接
                DBHelper.closeHiveConn();

                // 第六步:关闭 MySQL 连接
                DBHelper.closeMySQLConn();
        }
}

    4). 运行结果
    程序执行完之后进入 MySQL 的控制台,查看 hadooplog 表中的结果信息如下。

    hadoop@ubuntu:~$ mysql -uroot -pmysql;
mysql> use hive;
mysql> show tables;
mysql> select * from hadooplog;

    5). 经验总结
    在示例中同时对 Hive 的数据仓库库和 MySQL 数据库进行操作,虽然都是使用了 JDBC接口,但是一些地方还是有差异的,这个实战示例能比较好地体现 Hive 与关系型数据库的
    异同。
    如果我们直接采用 MapReduce 来做,效率会比使用 Hive 高,因为 Hive 的底层就是调用了 MapReduce,但是程序的复杂度和编码量都会大大增加,特别是对于不熟悉 MapReduce
    编程的开发人员,这是一个棘手问题。Hive 在这两种方案中找到了平衡,不仅处理效率较高,而且实现起来也相对简单,给传统关系型数据库编码人员带来了便利,这就是目前 Hive被许多商业组织所采用的原因。
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  • 原文地址：https://www.cnblogs.com/linjiqin/p/2948078.html
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