关于大数据T+1执行流程
前提: 搭建好大数据环境(hadoop hive hbase sqoop zookeeper oozie hue)
1.将所有数据库的数据汇总到hive (这里有三种数据源 ORACLE MYSQL SEQSERVER)
全量数据抽取示例:
ORACLE(注意表名必须大写!!!)
sqoop import --connect jdbc:oracle:thin:@//10.11.22.33:1521/LPDR.china.com.hh --username root --password 1234 --table DATABASENAME.TABLENAME --hive-overwrite --hive-import --hive-database bgda_hw --hive-table lp_tablename --target-dir /user/hadouser_hw/tmp/lp_tablename --delete-target-dir --null-non-string '\N' --null-string '\N' --hive-drop-import-delims --verbose --m 1
MYSQL:
sqoop import --connect jdbc:mysql://10.33.44.55:3306/DATABASEBANE --username ROOT --password 1234 --query 'select * from DEMO t where t.DATE1 < current_date and $CONDITIONS' --hive-overwrite --hive-import --hive-database bgda_hw --hive-table DEMO --target-dir /user/hadouser_hw/tmp/DEMO --delete-target-dir --null-non-string '\N' --null-string '\N' --hive-drop-import-delims --verbose --m 1
SQLSERVER:
sqoop import --connect 'jdbc:sqlserver://10.55.66.15:1433;username=ROOT;password=ROOT;database=db_DD' --query 'select * from TABLE t where t.tasktime < convert(varchar(10),getdate(),120) and $CONDITIONS' --hive-overwrite --hive-import --hive-database bgda_hw --hive-table TABLENAME --target-dir /user/hadouser_hw/tmp/TABLENAME --delete-target-dir --null-non-string '\N' --null-string '\N' --hive-drop-import-delims --verbose --m 1
2. 编写hive脚本,对数据进行处理
说明:
data 存储T+1跑出来的数据信息,只存一天的数据量
data_bak : 存储所有的数据信息
(初始化脚本)
use bgda_hw; set hive.auto.convert.join=false; drop table data_bak; create table data_bak( scanopt string ,scanoptname string ,statisdate string ) row format delimited fields terminated by ' 01'; insert overwrite table data_bak SELECT a.scanopt ,x0.name as scanoptname ,to_date(a.scandate) as statisdate from bgda_hw.scan a left outer join bgda_hw.user x0 on x0.userid = a.scanopt where 1=1 and datediff(a.scandate,'2019-01-01' )>=0 and datediff(a.scandate,'2019-09-20' )<0 GROUP BY a.scanopt,x0.name,a.scandate order by a.scandate ;
(t+1脚本)
use bgda_hw; set hive.auto.convert.join=false; drop table data; create table data( scanopt string ,scanoptname string ,statisdate string ) row format delimited fields terminated by ' 01'; insert overwrite table data SELECT a.scanopt ,x0.name as scanoptname ,to_date(a.scandate) as statisdate from bgda_hw.scan a left outer join bgda_hw.user x0 on x0.userid = a.scanopt where 1=1 and a.scandate<date_add(from_unixtime(unix_timestamp(),'yyyy-MM-dd'),0) and a.scandate>=date_add(from_unixtime(unix_timestamp(),'yyyy-MM-dd'),-1) GROUP BY a.scanopt,x0.name,a.scandate order by a.scandate ; insert into table data_bak select * from data ;
3.将结果数据抽取到结果库里
sqoop export --connect jdbc:mysql://10.6.11.11:3306/report --username root --password 1234 --table data --export-dir /user/hive/warehouse/bgda_hw.db/data --columns scanopt,scanoptname,statisdate --fields-terminated-by ' 01' --lines-terminated-by ' ' --input-null-string '\N' --input-null-non-string '\N'
抽數腳本示例 (腳本中的insert.hql 則是上方定義的hive腳本信息)
#!/bin/bash
export CDH_PARCEL=/var/opt/cloudera/parcels/CDH/bin/
export PATH=${PATH}:${CDH_PARCEL}
export PYTHON_EGG_CACHE=~/.python-eggs
#kinit to user hadouser_hw
kinit -kt hadouser_hw.keytab hadouser@HADOOP-AD-ROOT.DC
echo "$CDH_PARCEL: {CDH_PARCEL} "
echo "$PATH: {PATH} "
echo "$PYTHON_EGG_CACHE: {PYTHON_EGG_CACHE} "
#sqoop import full data from mssql database to hdfs
set -x
beeline -u "jdbc:hive2://10.20.33.44:10000/default;principal=hive/sssssss012@HADOOP-AD-ROOT.DC" -f insert.hql
# 将数据抽取到mysql 结果数据 原数据
sqoop export
--connect jdbc:mysql://10.6.11.15:3306/report
--username root
--password 1234
--table rs_kpitime_psdata
--export-dir /user/hive/warehouse/bgda_hw_stg.db/rs_kpitime_psdata_bak
--columns aplcustno,isapprv,statisdate,statisyear,statisquarter,statismonth,countdate
--fields-terminated-by ' 01'
--lines-terminated-by '
'
--input-null-string '\N'
--input-null-non-string '\N'
ret=$?
set +x
if [[ $ret -eq 0 ]];then
echo "insert table OK"
else
echo "insert table failed!!!Please check!!!"
exit $ret
fi
4.定义调度信息(oozie),每天定时跑出结果数据,自动抽取到结果库中
HUE的基本使用

定义工作流信息
先进入workflow

开始定义

选定要执行的脚本 (图片中提到的keytab 是一个认证文件)

定义定时任务
先进入定时任务页面

新建定时任务

定时任务详细定义(点击Options ,选择ShangHai时区,然后定义任务执行时长(例如 从2019年到2099年,最后保存,保存好后记得点击执行!!!))

5.配置可视化组件展示数据 saiku
这部分详细教程请参考 https://www.cnblogs.com/DFX339/tag/saiku/