DB2安装步骤

##################################DB2的安装###########################
## 安装前准备
## 关闭内存地址随机化机制
vi /etc/sysctl.conf
#增加 kernel.randomize_va_space=
sysctl -p##上传压缩包至/user/local目录下，并解压
cd /home/db2
#tar -xvf v9.7fp9_linuxx64_server.tar.gz
tar -xvfv10.5_linuxx64_expc.tar.gz
cd /usr/local/expc
## 开始安装
./db2_install
.配置实例用户
## root 用户执行
mkdir -p /db2home
groupadd -g dagadm
groupadd -g dagfenc
useradd -u -g dagadm -d /db2home/dainst -m dainst
useradd -u -g dagfenc -d /home/dafenc -m dafenc
useradd -u -g dagadm -d /db2home/dw -m dw## 修改配置文件,添加端口号
vi /etc/services
#dainst
db2c_dainst /tcp
DB2_dainst /tcp
DB2_dainst_1 /tcp
DB2_dainst_2 /tcp
DB2_dainst_END /tcp ## 新建实例
cd /opt/ibm/db2/V10./instance
./db2icrt -u dafenc dainst ## dainst 用户执行
su - dainst
db2set DB2CODEPAGE=
db2set DB2COMM=TCPIP
db2set DB2_PARALLEL_IO=* db2 update dbm cfg using SVCENAME db2c_dainst
db2 get dbm cfg|grep -w SVCENAME cat /db2home/dainst/sqllib/db2nodes.cfg db2start
##创建DWMM数据库（用实例用户执行）
mkdir -p /db2home/dainst/etldb
db2 "CREATE DATABASE dwmm AUTOMATIC STORAGE NO ON /db2home/dainst/etldb USING CODESET GBK TERRITORY CN RESTRICTIVE"

#系统安装预备初始化
#-------------------------系统安装预备初始化-----------------------------
1.防火墙操作：
#关闭防火墙
service iptables stop
#开启防火墙：service iptables start
#禁止自动启动防火墙
chkconfig iptables off
#开启自动启动防火墙 ：chkconfig iptables on
查看防火墙：/etc/init.d/iptables status
2.命名节点名称
vi /etc/sysconfig/network
3.配置host文件
vi /etc/hosts
#如：192.168.46.131 hadoop
4.修改系统时间时区
rm -rf /etc/localtime
cp /usr/share/zoneinfo/Asia/Shanghai /etc/localtime5.ssh免密登录
#对每个节点分别产生公钥和私钥：
cd ~/.ssh
ssh-keygen -t dsa -P '' -f ~/.ssh/id_dsa
#将公钥文件复制保存为authorized_keys
cat id_dsa.pub >> authorized_keys##python安装升级
#-------------------------python安装升级----------------------
1.将python安装包Python-2.7.13.tgz上传至/usr/local/目录下
cd /usr/local
2.解压安装包
tar -zxvf Python-2.7.13.tgz
cd /usr/local/Python-2.7.13
3.指定python安装目录
./configure --prefix=/usr/local/python-2.7/
make && make install
cd /usr/bin/
ls python*
4.删除原来的python
rm -rf /usr/bin/python
5.创建软链接
ln -s /usr/local/python-2.7.13/bin/python2 /usr/bin/python
6.验证python版本
python -V
7.成功后可以删除源文件,保留安装包文件
cd /usr/local
rm -rf Python-2.7.13#---------------------未安装成功---------------------
#上传setuptools包到/usr/local目录下
cd /usr/local/
#解压 setuptools-2.0.tar.gz包
tar -zxvf setuptools-2.0.tar.gz
cd setuptools-2.0
python setup.py install
----------------------------------------------------#jdk安装
#-------------------------jdk安装-----------------------------
1.将jdk安装包jdk-8u51-linux-x64.gz上传至/usr/local/目录下
cd /usr/local
2.解压jdk安装包
tar -zxvf jdk-8u51-linux-x64.gz
#重命名安装包
mv jdk1.8.0_51 jdk
3.配置环境变量
vi /etc/profile
export JAVA_HOME=/usr/local/jdk
export JAVA_BIN=$JAVA_HOME/bin
export JAVA_LIB=$JAVA_HOME/lib
export CLASSPATH=.:$JAVA_LIB/tools.jar:$JAVA_LIB/dt.jar
#最后将所有的路径加到
export PATH=.:$JAVA_BIN:$PATH
#使环境变量生效
source /etc/profile
4.验证jdk安装是否成功
java -version#mysql安装
#-----------------------安装mysql------------------------
1.上传mysql安装包到/usr/local目录下
cd /usr/local
2.卸载依赖包
#查找安装了的mysql
rpm -qa | grep mysql
#如果有,则执行命令卸载
rpm -e mysql-libs-5.1.71-1.el6.x86_64 --nodeps
2.安装mysql
rpm -ivh MySQL-client-5.6.22-1.el6.x86_64.rpm --nodeps
rpm -ivh MySQL-server-5.6.22-1.el6.x86_64.rpm --nodeps
3.启动mysql服务
service mysql start
4.查看root账号密码并登陆
cat /root/.mysql_secret #JElTlG9gVsKAhRKS WQlcq4jUug_KK_ZY
#登录mysql
mysql -uroot -p密码
#设置密码
mysql> SET PASSWORD = PASSWORD('root');
#测试新密码登录
mysql -uroot -proot
5设置允许远程登录
GRANT ALL PRIVILEGES ON *.* TO 'root'@'%' IDENTIFIED BY 'root' WITH GRANT OPTION;
flush privileges;
exit;
6.设置开机自动启动
chkconfig mysql on#安装hadoop
#------------------------hadoop安装--------------------------
1.上传hadoop安装包到/usr/local目录下
#进入/usr/local/目录下
cd /usr/local
2.解压hadoop安装包
tar -xzvf hadoop-2.6.0.tar.gz
#重命令hadoop
mv hadoop-2.6.0 hadoop
3.设置hadoop环境变量
vi /etc/profile
export HADOOP_HOME=/usr/local/hadoop
#修改：
export PATH=.:$HADOOP_HOME/bin:$HADOOP_HOME/sbin:$JAVA_BIN:$PATH
4.配置hadoop的参数
#4.1 修改hadoop-env.sh文件
#添加java_home的环境变量
cd /usr/local/hadoop/etc/hadoop
vi hadoop-env.sh
JAVA_HOME=/usr/local/jdk
#4.2 配置core-site.xml
cd /usr/local/hadoop/etc/hadoop
vi core-site.xml
<configuration>
<property>
<name>fs.default.name</name>
<value>hdfs://hadoop:9000</value>
<description>change your own hostname</description>
</property>
<property>
<name>hadoop.tmp.dir</name>
<value>/usr/local/hadoop/tmp</value>
</property>
</configuration>#4.3 配置hdfs-site.xml
<configuration>
<property>
<name>dfs.replication</name>
<value>1</value>
</property>
<property>
<name>dfs.permissions</name>
<value>false</value>
</property>
</configuration>#4.4.配置mapred-site.xml
<configuration>
<property>
<name>mapred.job.tracker</name>
<value>hadoop:9001</value>
<description>change your own hostname</description>
</property>
</configuration>9.64位系统错误问题处理
##安装Hadoop启动之后总有警告：
##Unable to load native-hadoop library for your platform... using builtin-Javaclasses where applicable
##这是因为在64位的linux系统中运行hadoop不兼容。
##这时候将准备好的64位的lib包解压到已经安装好的hadoop的lib目录下
#注意：是lib目录，而不是lib下的native目录
##执行如下命令：
#tar -x hadoop-native-64-2.4.0.tar -C hadoop/lib/
cd /usr/local
mv hadoop-native-64-2.6.0.tar hadoop/lib
cd /usr/local/hadoop/lib
tar -xvf hadoop-native-64-2.6.0.tar
#然后在环境变量中添加如下内容：
vi /etc/profile
export HADOOP_COMMON_LIB_NATIVE_DIR=$HADOOP_HOME/lib/native
export HADOOP_OPTS="-Djava.library.path=$HADOOP_HOME/lib"
#最后使环境变量生效
source /etc/profile5.对hadoop进行格式化
hadoop namenode -format
6.启动hadoop
start-all.sh
7.验证hadoop是否安装成功：
输入命令：jps
#发现有五个java进程：
DataNode
NameNode
SecondaryNameNode
JobTracker
TaskTracker
#通过浏览器查看：
HDFS：
hadoop:50070
MapReduce：
hadoop:50030 8.修改windows下的文件,即可在本地电脑查看：
C:\Windows\System32\drivers\etc\hosts10.错误处理办法
如果在windows中页面不能成功，有肯能
NameNode进程启动没有成功？
1.没有格式化
2.配置文件
3.hostname没有与ip绑定
4.SSH的免密码登录没有配置成功
#多次格式化也是错误的
方法：删除/usr/local/hadoop/tmp文件夹，重新格式化#---------------------hive安装----------------------------
1.上传hive安装包到/usr/local目录下
cd /usr/local
2.解压hive安装包
tar -zxvf hive-0.9.0.tar.gz
mv hive-0.9.0 hive
3.配置hive环境变量
vi /etc/profile
export HIVE_HOME=/usr/local/hive
export PATH=.:$HIVE_HOME/bin:$HADOOP_HOME/bin:$HADOOP_HOME/sbin:$JAVA_BIN:$PATH
source /etc/profile
4.上传驱动到/usr/local目录下并添加驱动到hive的lib目录下
cd /usr/local
cp mysql-connector-java-5.1.39-bin.jar /usr/local/hive/lib/
5.hive安装参数配置
#修改hive-env.sh文件，添加hadoop的环境变量
cd /usr/local/hive/conf
cp hive-env.sh.template hive-env.sh
vi hive-env.sh
export HADOOP_HOME=/usr/local/hadoop
#修改hive-log4j.properties文件
cd /usr/local/hive/conf
cp hive-log4j.properties.template hive-log4j.properties
vi hive-log4j.properties
#log4j.appender.EventCounter=org.apache.hadoop.metrics.jvm.EventCounter
log4j.appender.EventCounter=org.apache.hadoop.log.metrics.EventCounter#修改hive-site.xml文件
cd /usr/local/hive/conf
cp hive-default.xml.template hive-site.xml
vi hive-site.xml
#添加如下内容：
<property>
<name>javax.jdo.option.ConnectionURL</name>
<value>jdbc:mysql://hadoop:3306/hive?createDatabaseIfNotExist=true</value>
<description>JDBC connect string for a JDBC metastore</description>
</property>
<property>
<name>javax.jdo.option.ConnectionDriverName</name>
<value>com.mysql.jdbc.Driver</value>
<description>Driver class name for a JDBC metastore</description>
</property>
<property>
<name>javax.jdo.option.ConnectionUserName</name>
<value>root</value>
<description>username to use against metastore database</description>
</property>
<property>
<name>javax.jdo.option.ConnectionPassword</name>
<value>root</value>
<description>password to use against metastore database</description>
</property>
6.验证hive安装是否成功
hive
show databases;
mysql -uroot -proot
show databases;
use hive;
show tables;
7.上传hive-builtins-0.9.0.jar包到hdfs的/usr/local/hive/lib/目录下
cd /usr/local/hive/lib
hdfs dfs -mkdir -p /usr/local/hive/lib
hdfs dfs -put hive-builtins-0.9.0.jar /usr/local/hive/lib#--------------------------DB2安装-----------------------------------#1.关闭内存地址随机化机制
vi /etc/sysctl.conf
增加 kernel.randomize_va_space=0
sysctl -p
2.上传db2安装包并解压安装
mkdir /home/db2
cd /home/db2
tar -xvf v9.7fp9_linuxx64_server.tar.gz
cd ./server
./db2_install #开始安装db2,选择ESE企业版安装
3.配置实例用户,root用户执行
mkdir -p /db2home
groupadd -g 607 dagadm
groupadd -g 608 dagfenc
useradd -u 607 -g dagadm -d /db2home/dainst -m dainst
useradd -u 608 -g dagfenc -d /home/dafenc -m dafenc
useradd -u 609 -g dagadm -d /db2home/dw -m dw passwd dainst dainst
passwd dafenc dafenc
passwd dw dw
4.修改配置文件,添加端口号
vi /etc/services
db2c_dainst 62000/tcp
DB2_dainst 62001/tcp
DB2_dainst_1 62002/tcp
DB2_dainst_2 62003/tcp
DB2_dainst_END 62004/tcp
5.新建实例
cd /opt/ibm/db2/V9.7/instance
./db2icrt -s ese -u dafenc dainst
6.数据库配置,dainst用户执行
su - dainst
db2set DB2CODEPAGE=1386
db2set DB2COMM=TCPIP
db2set DB2_PARALLEL_IO=*
db2 update dbm cfg using SVCENAME db2c_dainst
db2 get dbm cfg|grep -w SVCENAME
cat /db2home/dainst/sqllib/db2nodes.cfg
db2start
7.创建DWMM数据库
mkdir -p /db2home/dainst/etldb
db2 "CREATE DATABASE dwmm AUTOMATIC STORAGE NO ON /db2home/dainst/etldb USING CODESET GBK TERRITORY CN RESTRICTIVE"

#mysql导入数据
--全量替换数据
load data local infile "/home/python/data/stock.csv" replace into table stock CHARACTER SET gb2312 FIELDS TERMINATED BY "," LINES TERMINATED BY "\n";
--新增数据
load data local infile '/etl/etldata/input/20170216/industry_20170216.csv' into table ext_stock_industry fields terminated by "," lines terminated by '\n';#将ext外表指向相应的目录
"ALTER TABLE ext_${tab_name} SET LOCATION 'hdfs://nameservice1/etldata/input/${tab_name}'"
## 清空STG增量表 ###
echo "`dt` :start truncate table STG_${tab_name}"
${TDH} "truncate table STG_${tab_name}"
[ $? -ne 0 ] && echo "`dt` :truncate table STG_${tab_name} failed " && exit -1
echo "`dt` :truncate Table STG_${tab_name} succeed " ## 将每日增量数据装入STG表 ###
echo "`dt` :start insert STG_${tab_name} from EXT_${tab_name}"
${TDH} "insert into STG_${tab_name} select A.*,${today} from EXT_${tab_name} A"
[ $? -ne 0 ] && echo "`dt` :insert STG_${tab_name} failed " && exit -1
echo "`dt` :insert into Table STG_${tab_name} succeed "
return 0#清空调度环境
1.进入清空etl调度表脚本目录
cd /home/dainst/tmp/jjm/init
2.执行rollback.sh脚本清空环境
./rollback.sh#配置作业流
1.配置db2驱动
在本机运行：
C:\Windows\SysWOW64\odbcad32.exe
数据源名称：dydwmm
用户标识：dainst
密码：dainst
IP:192.168.101.90
端口号：61000
2.打开excel提交作业流
#在本机打开excel文件
C:\Users\Idea\Desktop\数据项目\05-大数据平台\02-数据处理\ETL\大数据平台部署\06-相关文档
#删除右侧文件
分别提交3个sheet页3.检查作业配置是否成功
#在waterdrop中执行如下操作检查：
SELECT * FROM etl.job_loc;
SELECT * FROM etl.job_metadata;
SELECT * FROM etl.job_seq;
#查看跑批日期
SELECT * FROM etl.job_biz_date;4.清空历史目录
#清空省联社下发文件目录
rm -rf /etl/etldata/input/S-999000/CCRD/ADD/*
rm -rf /etl/etldata/input/S-999000/CORE/ADD/*
rm -rf /etl/etldata/input/S-999000/FMS/ADD/*
rm -rf /etl/etldata/input/S-999000/FMS/ADD/*
#清空dw数据库导出数据目录
rm -rf /etl/etldata/input/DW_TO_HIVE/*5.开启调度
cd /etl/etldata/script/job-schd-engine-0.1Silver/bin
#先停止调度
mv nohup.out nohup.out_tmp
#配置调度启动时间
cd /etl/etldata/script/job-schd-engine-0.1Silver/config
vi quartz_jobs.xml
#开启调度
cd /etl/etldata/script/job-schd-engine-0.1Silver/bin
nohup start.sh &
6.前台查看调度页面 推送省联社下发文件
cd /home/dainst/tmp/jjm/Note/CORE
./tools.sh 20170221 FMS
./tools.sh 20170221 IMBS
./tools.sh 20170221 CCRD
./tools.sh 20170221 CORE DW库中握手文件
cd /etl/etldata/input/DW_TO_HIVE/20170220
touch HANDFILE.OK
7.第一个批成功跑完
修改视图
drop view ETL.JOB_BIZ_DATE;
CREATE VIEW JOB_BIZ_DATE(
CUR_DT,
LAST_DT,
PPN_TSTMP
) AS SELECT
'2017-02-22' AS CUR_DT,
'2016-02-21' AS LAST_DT,
CURRENT TIMESTAMP AS PPN_TSTMP
FROM
CORE.BGFMCINF
WHERE
ETL_FLAG = 'I'select * from ETL.JOB_BIZ_DATE修改时间配置，实例化第二批次
cd /etl/etldata/script/job-schd-engine-0.1Silver/config
vi quartz_jobs.xml创建压缩文件,并推送到对应目录上
cd /home/dainst/tmp/jjm/Note/CORE
./tools.sh 20170221 FMS
./tools.sh 20170221 IMBS
./tools.sh 20170221 CCRD
./tools.sh 20170221 CORE查看前台调度页面
省联社文件解压成功，后续作业成功执行1.在前台页面修改FILE_CHECK_CRM作业名称为FILE_CHECK_DW调度管理-作业管理-作业场景选择FILE-查询
选中FILE_CHECK_CRM作业，点击编辑按钮
将FILE_CHECK_CRM作业的作业名称和互斥组改为FILE_CHECK_DWselect * from ETL.JOB_METADATA WHERE job_tp = 'FILE';
FILE_CHECK_CRM已经消失，变为FILE_CHECK_DWselect * from ETL.JOB_log WHERE job_nm LIKE 'FILE%';
4839948 WAITING FILE_CHECK_CRM 2017-02-21 2.给DW抽数据握手文件，观察调度能否继续执行
touch /etl/etldata/input/DW_TO_HIVE/20170221/HANDFILE.OK
如果实例化批之后，修改了作业名称，作业不能继续往下执行在实例化作业之前，修改作业名称查看作业能否执行该作业能继续执行，但依赖于该作业的后续作业也会执行
#一个作业依赖于一个不存在的作业，看看该作业能否执行？？？
CMD_CHK_COMMUNICATE_FILE作业依赖于FILE_CHECK_CRM,在未实例化批之前，
在前台将FILE_CHECK_CRM改名为FILE_CHECK_DW。
FILE_CHECK_DW能继续执行
CMD_CHK_COMMUNICATE_FILE也会继续执行。#前台删除作业修改视图
drop view ETL.JOB_BIZ_DATE;
CREATE VIEW JOB_BIZ_DATE(
CUR_DT,
LAST_DT,
PPN_TSTMP
) AS SELECT
'2017-02-20' AS CUR_DT,
'2016-02-19' AS LAST_DT,
CURRENT TIMESTAMP AS PPN_TSTMP
FROM
CORE.BGFMCINF
WHERE
ETL_FLAG = 'I'
select * from ETL.JOB_BIZ_DATE;修改时间配置，实例化第二批次
cd /etl/etldata/script/job-schd-engine-0.1Silver/config
vi quartz_jobs.xml创建压缩文件,并推送到对应目录上
cd /home/dainst/tmp/jjm/Note/CORE
./tools.sh 20170220 FMS
./tools.sh 20170220 IMBS
./tools.sh 20170220 CCRD
./tools.sh 20170220 CORE4.
SELECT * FROM etl.job_seq WHERE PRE_JOB='CMD_CHK_COMMUNICATE_FILE';
update etl.job_seq set PRE_JOB='FILE_CHECK_DW' where PRE_JOB='CMD_CHK_COMMUNICATE_FILE';
SELECT * FROM etl.job_seq WHERE PRE_JOB='FILE_CHECK_DW';-------------------------------------------
233数据库中：
SELECT count(*) FROM S_CRM_CUST_PE_BASE_INFO; --1829596条90数据库中
SELECT count(*) FROM ext_s_crm_cust_pe_base_info; --1829596条
SELECT count(*) FROM stg_s_crm_cust_pe_base_info; --1829596条
SELECT count(*) FROM sdi_s_crm_cust_pe_base_info; --2005970条
SELECT count(*) FROM his_s_crm_cust_pe_base_info; --0条重做作业：
再次查询数据库信息：#备份bdpdb中数据库的s_crm_cust_pe_base_info表
drop table if exists sdi_s_crm_cust_pe_base_info_20170224;
CREATE table sdi_s_crm_cust_pe_base_info_20170224 AS SELECT * FROM sdi_s_crm_cust_pe_base_info;
select count(*) from sdi_s_crm_cust_pe_base_info_20170224;drop table if exists stg_s_crm_cust_pe_base_info_20170224;
CREATE table stg_s_crm_cust_pe_base_info_20170224 AS SELECT * FROM stg_s_crm_cust_pe_base_info;
select count(*) from stg_s_crm_cust_pe_base_info_20170224;drop table if exists ext_s_crm_cust_pe_base_info_20170224;
CREATE table ext_s_crm_cust_pe_base_info_20170224 AS SELECT * FROM ext_s_crm_cust_pe_base_info;drop table if exists his_s_crm_cust_pe_base_info_20170224;
CREATE table his_s_crm_cust_pe_base_info_20170224 AS SELECT * FROM his_s_crm_cust_pe_base_info;
select count(*) from his_s_crm_cust_pe_base_info_20170224;#创建新表
DROP TABLE SDI_S_CRM_CUST_PE_BASE_INFO;
CREATE TABLE IF NOT EXISTS SDI_S_CRM_CUST_PE_BASE_INFO (
CUST_NO VARCHAR(32) comment "CRM客户号",
CERT_TYPE VARCHAR(8) comment "证件类型(清洗后的)",
CERT_NO VARCHAR(20) comment "证件号(清洗后的)",
PECUST_NAME VARCHAR(80) comment "客户名称",
CUSTNAME_SHORT VARCHAR(40) comment "客户简称",
CUST_NAME_EN VARCHAR(100) comment "客户名称(英文)",
VIP_CATE VARCHAR(8) comment "贵宾类别",
COUNTRY VARCHAR(8) comment "国家",
CREDIT_LEVEL VARCHAR(8) comment "信用等级",
IS_FREETAX VARCHAR(8) comment "免税标识",
BTFLBOOL VARCHAR(8) comment "移行客户标志",
DIMABOOL VARCHAR(8) comment "是否接收推广信息",
SEX VARCHAR(8) comment "性别",
NTY VARCHAR(8) comment "民族",
MRG VARCHAR(8) comment "婚姻状况",
BTD VARCHAR(10) comment "出生日期",
STUDY_EXP VARCHAR(8) comment "最高学历",
DEGREE VARCHAR(8) comment "最高学位",
PAY_ACCT VARCHAR(32) comment "工资账号",
ACCT_WT_BK VARCHAR(80) comment "开户银行",
YEAR_INCOME DECIMAL(16,2) comment "年收入",
FMY_PPL INTEGER comment "家庭人数",
INHBT_STAT VARCHAR(8) comment "居住状况",
CUST_LEV VARCHAR(8) comment "客户层次",
BANK_EMP_IND VARCHAR(8) comment "本行员工标志",
EMPLOYEE_TYP VARCHAR(8) comment "员工类别",
BANK_STK_HOLDER_IND VARCHAR(8) comment "是否本行股东",
BANK_PARTY_IND VARCHAR(8) comment "是否本行关系人",
NOTES VARCHAR(200) comment "本行关系人备注",
XDZX_TYPE VARCHAR(8) comment "客户信贷类型",
CUST_QLY VARCHAR(8) comment "客户性质",
PERSONAL_INSRC VARCHAR(8) comment "人身保险",
INSURANCE_DT VARCHAR(10) comment "保险期限",
BAD_RECORD DECIMAL(5,0) comment "不良记录笔数",
IS_LTC_CREDIT_CUST VARCHAR(8) comment "是否潜在信贷客户",
NATIVE VARCHAR(200) comment "籍贯",
EFF_DATE VARCHAR(8) comment "批量日期",
END_DATE VARCHAR(8) comment "数据失效日期",
JOB_SEQ_ID VARCHAR(8) comment "批次号"
) comment "对私客户基本信息"
CLUSTERED BY (CUST_NO) INTO 11 BUCKETS
STORED AS ORC
TBLPROPERTIES ("transactional"="true");DROP TABLE STG_S_CRM_CUST_PE_BASE_INFO;
CREATE TABLE IF NOT EXISTS STG_S_CRM_CUST_PE_BASE_INFO (
CUST_NO string comment "CRM客户号",
CERT_TYPE string comment "证件类型(清洗后的)",
CERT_NO string comment "证件号(清洗后的)",
PECUST_NAME string comment "客户名称",
CUSTNAME_SHORT string comment "客户简称",
CUST_NAME_EN string comment "客户名称(英文)",
VIP_CATE string comment "贵宾类别",
COUNTRY string comment "国家",
CREDIT_LEVEL string comment "信用等级",
IS_FREETAX string comment "免税标识",
BTFLBOOL string comment "移行客户标志",
DIMABOOL string comment "是否接收推广信息",
SEX string comment "性别",
NTY string comment "民族",
MRG string comment "婚姻状况",
BTD string comment "出生日期",
STUDY_EXP string comment "最高学历",
DEGREE string comment "最高学位",
PAY_ACCT string comment "工资账号",
ACCT_WT_BK string comment "开户银行",
YEAR_INCOME string comment "年收入",
FMY_PPL string comment "家庭人数",
INHBT_STAT string comment "居住状况",
CUST_LEV string comment "客户层次",
BANK_EMP_IND string comment "本行员工标志",
EMPLOYEE_TYP string comment "员工类别",
BANK_STK_HOLDER_IND string comment "是否本行股东",
BANK_PARTY_IND string comment "是否本行关系人",
NOTES string comment "本行关系人备注",
XDZX_TYPE string comment "客户信贷类型",
CUST_QLY string comment "客户性质",
PERSONAL_INSRC string comment "人身保险",
INSURANCE_DT string comment "保险期限",
BAD_RECORD string comment "不良记录笔数",
IS_LTC_CREDIT_CUST string comment "是否潜在信贷客户",
ETL_BIZ_DT string comment "ETL插入日期",
ETL_LOAD_DT string comment "ETL更新日期",
NATIVE string comment "籍贯",
ETL_EFF_DATE VARCHAR(8) comment "批量日期"
) comment "对私客户基本信息"
CLUSTERED BY (CUST_NO) INTO 11 BUCKETS
STORED AS ORC
TBLPROPERTIES ("transactional"="true");DROP TABLE HIS_S_CRM_CUST_PE_BASE_INFO;
CREATE TABLE IF NOT EXISTS HIS_S_CRM_CUST_PE_BASE_INFO (
CUST_NO VARCHAR(32) comment "CRM客户号",
CERT_TYPE VARCHAR(8) comment "证件类型(清洗后的)",
CERT_NO VARCHAR(20) comment "证件号(清洗后的)",
PECUST_NAME VARCHAR(80) comment "客户名称",
CUSTNAME_SHORT VARCHAR(40) comment "客户简称",
CUST_NAME_EN VARCHAR(100) comment "客户名称(英文)",
VIP_CATE VARCHAR(8) comment "贵宾类别",
COUNTRY VARCHAR(8) comment "国家",
CREDIT_LEVEL VARCHAR(8) comment "信用等级",
IS_FREETAX VARCHAR(8) comment "免税标识",
BTFLBOOL VARCHAR(8) comment "移行客户标志",
DIMABOOL VARCHAR(8) comment "是否接收推广信息",
SEX VARCHAR(8) comment "性别",
NTY VARCHAR(8) comment "民族",
MRG VARCHAR(8) comment "婚姻状况",
BTD VARCHAR(10) comment "出生日期",
STUDY_EXP VARCHAR(8) comment "最高学历",
DEGREE VARCHAR(8) comment "最高学位",
PAY_ACCT VARCHAR(32) comment "工资账号",
ACCT_WT_BK VARCHAR(80) comment "开户银行",
YEAR_INCOME DECIMAL(16,2) comment "年收入",
FMY_PPL INTEGER comment "家庭人数",
INHBT_STAT VARCHAR(8) comment "居住状况",
CUST_LEV VARCHAR(8) comment "客户层次",
BANK_EMP_IND VARCHAR(8) comment "本行员工标志",
EMPLOYEE_TYP VARCHAR(8) comment "员工类别",
BANK_STK_HOLDER_IND VARCHAR(8) comment "是否本行股东",
BANK_PARTY_IND VARCHAR(8) comment "是否本行关系人",
NOTES VARCHAR(200) comment "本行关系人备注",
XDZX_TYPE VARCHAR(8) comment "客户信贷类型",
CUST_QLY VARCHAR(8) comment "客户性质",
PERSONAL_INSRC VARCHAR(8) comment "人身保险",
INSURANCE_DT VARCHAR(10) comment "保险期限",
BAD_RECORD DECIMAL(5,0) comment "不良记录笔数",
IS_LTC_CREDIT_CUST VARCHAR(8) comment "是否潜在信贷客户",
NATIVE VARCHAR(200) comment "籍贯",
EFF_DATE VARCHAR(8) comment "批量日期",
END_DATE VARCHAR(8) comment "数据失效日期",
JOB_SEQ_ID VARCHAR(8) comment "批次号"
,NEW_JOB_SEQ_ID VARCHAR(8) comment "历史批次号"
) comment "对私客户基本信息"
CLUSTERED BY (CUST_NO) INTO 11 BUCKETS
STORED AS ORC
TBLPROPERTIES ("transactional"="true");DROP TABLE EXT_S_CRM_CUST_PE_BASE_INFO;
CREATE EXTERNAL TABLE IF NOT EXISTS EXT_S_CRM_CUST_PE_BASE_INFO (
CUST_NO string comment "CRM客户号",
CERT_TYPE string comment "证件类型(清洗后的)",
CERT_NO string comment "证件号(清洗后的)",
PECUST_NAME string comment "客户名称",
CUSTNAME_SHORT string comment "客户简称",
CUST_NAME_EN string comment "客户名称(英文)",
VIP_CATE string comment "贵宾类别",
COUNTRY string comment "国家",
CREDIT_LEVEL string comment "信用等级",
IS_FREETAX string comment "免税标识",
BTFLBOOL string comment "移行客户标志",
DIMABOOL string comment "是否接收推广信息",
SEX string comment "性别",
NTY string comment "民族",
MRG string comment "婚姻状况",
BTD string comment "出生日期",
STUDY_EXP string comment "最高学历",
DEGREE string comment "最高学位",
PAY_ACCT string comment "工资账号",
ACCT_WT_BK string comment "开户银行",
YEAR_INCOME string comment "年收入",
FMY_PPL string comment "家庭人数",
INHBT_STAT string comment "居住状况",
CUST_LEV string comment "客户层次",
BANK_EMP_IND string comment "本行员工标志",
EMPLOYEE_TYP string comment "员工类别",
BANK_STK_HOLDER_IND string comment "是否本行股东",
BANK_PARTY_IND string comment "是否本行关系人",
NOTES string comment "本行关系人备注",
XDZX_TYPE string comment "客户信贷类型",
CUST_QLY string comment "客户性质",
PERSONAL_INSRC string comment "人身保险",
INSURANCE_DT string comment "保险期限",
BAD_RECORD string comment "不良记录笔数",
IS_LTC_CREDIT_CUST string comment "是否潜在信贷客户",
ETL_BIZ_DT string comment "ETL插入日期",
ETL_LOAD_DT string comment "ETL更新日期",
NATIVE string comment "籍贯"
) comment "对私客户基本信息"
ROW FORMAT SERDE 'org.apache.hadoop.hive.ql.io.csv.serde.CSVSerde'
STORED AS INPUTFORMAT 'org.apache.hadoop.mapred.TextInputFormat'
OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
LOCATION '/etldata';跑20170220批数据，查询数据量
#查看新表数据量
SELECT count(*) FROM ext_s_crm_cust_pe_base_info; --1829596
SELECT count(*) FROM stg_s_crm_cust_pe_base_info; --1829696
SELECT count(*) FROM sdi_s_crm_cust_pe_base_info; --1829596
SELECT count(*) FROM his_s_crm_cust_pe_base_info; --0重跑20170220批作业,所有作业成功跑批，再次查看数据量
SELECT count(*) FROM ext_s_crm_cust_pe_base_info; --1829596
SELECT count(*) FROM stg_s_crm_cust_pe_base_info; --1829696
SELECT count(*) FROM sdi_s_crm_cust_pe_base_info; --1829596
SELECT count(*) FROM his_s_crm_cust_pe_base_info; --0

use stock;
load data local infile '/home/crawblog/data/FILE' into table blog fields terminated by "," lines terminated by '\n';

create or replace procedure bdpdb.sp_idv_cst_smy_bk_tl_busi()
IS
trc_tab STRING
BEGIN
trc_tab:="truncate table bdpdb.IDV_CST_SMY_BK_TL_BUSI ;";
EXECUTE IMMEDIATE trc_tab;
insert into bdpdb.IDV_CST_SMY_BK_TL_BUSI
select date_dt --日期
,branch_id --机构号
,counter_no --柜员号
,tel_txid --交易源代码
,NVL(LAG(tran_time,1) OVER(partition by date_dt,counter_no,branch_id,process_time,process_end_time
order by date_dt,branch_id,counter_no,process_time,process_end_time,tran_time),process_time) start_time --交易起始时间
,tran_time --交易结束时间
from(
select A.date_dt --日期
,A.counter_no --柜员号
,A.branch_id --机构号
,B.tel_txid --交易源代码
,A.process_time --叫号起始时间
,B.tran_time --交易时间
,A.process_end_time --叫号结束时间
from
(
select
substr(A.process_time,1,4)||substr(A.process_time,6,2)||substr(A.process_time,9,2) date_dt
,A.BRANCH_ID
,A.WIN_NO
,B.counter_no
,TDH_TODATE(TIMESTAMP(A.PROCESS_TIME) + interval '' SECOND,'yyyy-MM-dd HH:mm:ss','yyyyMMddHHmmss') PROCESS_TIME --叫号时间
,TDH_TODATE(TIMESTAMP(A.process_end_time) + interval '' SECOND,'yyyy-MM-dd HH:mm:ss','yyyyMMddHHmmss') process_end_time--业务办理结束时间
from bdpdb.SDI_T_CUST_QUEUE A
left join ( --去除一个柜员多个窗口情况
SELECT A.date_dt,A.department BRANCH_ID ,B.win_no,A.counter_no
FROM (
select date_dt
,department
,counter_no
from bdpdb.SDI_BH_COUNTER
GROUP BY date_dt,department,counter_no
having count(win_no)=1
) A
LEFT JOIN bdpdb.SDI_BH_COUNTER B
ON A.date_dt=B.date_dt AND A.department=B.department
AND A.counter_no=B.counter_no
order BY 1,2,3,4
) B
on substr(A.process_time,1,4)||substr(A.process_time,6,2)||substr(A.process_time,9,2)=B.date_dt
and A.BRANCH_ID=B.BRANCH_ID and A.WIN_NO=B.WIN_NO
where length(B.counter_no)=7
order by 1,2,3,4,5,6
) A
right join (
select distinct SYS_DATE,TEL_ID,TEL_TXID,TRAN_TIME
from ( select
SYS_DATE --交易日期
,TEL_ID --交易柜员号
,TEL_TXID --柜员输入原交易码
,SYS_DATE||SYS_TIME TRAN_TIME--交易时间
from bdpdb.SDI_F_CORE_BYFTJRN
where tx_ouno like '89120%' and substr(TEL_ID,1,3)=''
AND SYS_DATE>='' and SYS_DATE<=''
order by 1,2,4,3)
)
B
on A.date_dt=B.sys_date and A.counter_no=B.tel_id
and B.tran_time >= A.process_time
and B.tran_time <= A.process_end_time
where A.date_dt is not NULL
order by 1,2,3,5,7,6,4
)
END

CREATE DATABASE IF NOT EXISTS bdpdb;
USE bdpdb;
DROP TABLE IF NOT EXISTS bdpdb.idv_cst_smy_bk_tl_busi;
create table bdpdb.idv_cst_smy_bk_tl_busi(
date_dt string comment "日期" ,
branch_id string comment "机构号" ,
counter_no string comment "柜员号" ,
tel_txid string comment "交易源代码" ,
start_time varchar(50) comment "交易起始时间" ,
tran_time varchar(50) comment "交易结束时间"
)
CLUSTERED BY (date_dt) INTO 11 BUCKETS
STORED AS ORC
TBLPROPERTIES ("transactional"="true");

# /etc/profile#配置java环境变量
export JAVA_HOME=/usr/local/jdk
export JAVA_BIN=$JAVA_HOME/bin
export JAVA_LIB=$JAVA_HOME/lib
export CLASSPATH=.:$JAVA_LIB/tools.jar:$JAVA_LIB/dt.jar#配置HADOOP环境变量
export HADOOP_HOME=/usr/local/hadoop
export HADOOP_COMMON_LIB_NATIVE_DIR=$HADOOP_HOME/lib/native
export HADOOP_OPTS="-Djava.library.path=$HADOOP_HOME/lib"
export HADOOP_COMMON_LIB_NATIVE_DIR=$HADOOP_HOME/lib/native
export HADOOP_OPTS="-Djava.library.path=$HADOOP_HOME/lib"#配置HIVE环境变量
export HIVE_HOME=/usr/local/hive#配置zookeeper环境变量
export ZOOKEEPER_HOME=/usr/local/zookeeper#配置hbase的环境变量
export HBASE_HOME=/usr/local/hbaseexport PATH=.:$HBASE_HOME/bin:$ZOOKEEPER_HOME/bin:$HIVE_HOME/bin:$HADOOP_HOME/bin:$HADOOP_HOME/sbin:$JAVA_BIN:$PATH#设置时区
TZ='Asia/Shanghai'
export TZ