python结合shell自动创建kafka的连接器实战教程
短信预约 -IT技能 免费直播动态提醒
环境
cat /etc/redhat-release
CentOS Linux release 7.5.1804 (Core)
[root@localhost ~]# uname -a
Linux localhost.localdomain 3.10.0-862.el7.x86_64 #1 SMP Fri Apr 20 16:44:24 UTC 2018 x86_64 x86_64 x86_64 GNU/Linux
python -V
Python 2.7.5安装连接oracle的python包
pip install cx_Oracle==7.3获取oracle表信息
cat query_oracle.py
#!/usr/bin/env python
import cx_Oracle
import sys
import os
import csv
import traceback
file = open("oracle.txt", 'w').close()
user = "test"
passwd = "test"
listener = '10.0.2.15:1521/orcl'
conn = cx_Oracle.connect(user, passwd, listener)
cursor = conn.cursor()
sql = "select table_name from user_tables"
cursor.execute(sql)
LIST1=[]
while True:
row = cursor.fetchone()
if row == None:
break
for table in row:
#print table
LIST1.append(table)
LIST2=[]
for i in LIST1:
sql3 = "select COLUMN_NAME,DATA_TYPE,DATA_PRECISION,DATA_SCALE from cols WHERE TABLE_name=upper('%s')" %i
cursor.execute(sql3)
cursor.execute(sql3)
row3 = cursor.fetchall()
for data in row3:
#LIST2.append(i)
LIST2.extend(list(data))
LIST2.append(i)
f=open('oracle.txt','a+')
print >> f,LIST2
LIST2=[]
#f=open('test.txt','a+')
#select table_name,column_name,DATA_TYPE from cols WHERE TABLE_name=upper('student');
#select column_name,DATA_TYPE from cols WHERE TABLE_name=upper('student');
去掉多余部分
cat auto.sh
#!/bin/bash
#python query_oracle.py |tr "," ' '|tr "'" ' '|tr "[" " "|tr "]" " "
#>oracle.txt
>oracle_tables.txt
cat oracle.txt |tr "[],'" " "|sed "s#[ ][ ]*# #g"|sed 's/^[ \t]*//g' >> oracle_tables.txtcat oracle_tables.txt
SNO NUMBER 19 0 SNAME VARCHAR2 None None SSEX VARCHAR2 None None SBIRTHDAY DATE None None SCLASS VARCHAR2 None None STUDENT DATE_DATE
SNO2 NUMBER 19 0 SNAME VARCHAR2 None None SSEX VARCHAR2 None None SBIRTHDAY DATE None None SCLASS VARCHAR2 None None STUDENT2 INPUT_TIME
SNO3 NUMBER 19 2 SNAME VARCHAR2 None None SSEX VARCHAR2 None None SBIRTHDAY DATE None None SCLASS VARCHAR2 None None STUDENT3 DATA_DATE
shell 脚本处理表信息文件
cat connect.sh
#!/bin/bash
#获取临时文件的行数
FILE_NUM=$(cat oracle_tables.txt |egrep -v '#|^$'|wc -l)
#清空自动创建连接器的脚本
>create-connect.sh
#循环临时文件每一行
for i in `seq $FILE_NUM`
do
FILE_LINE=$(sed -n ${i}p oracle_tables.txt)
TABLE_NAME=$(echo ${FILE_LINE}|sed 's/[ \t]*$//g'|awk '{print $(NF-1)}')
COL_NUM=$(echo ${FILE_LINE}|sed 's/[ \t]*$//g'|awk -F "[ ]" '{print NF}')
REAL_COL_NUM=`expr $COL_NUM - 2`
#清空临时文件
>${TABLE_NAME}.txt
>${TABLE_NAME}.sql
#循环临时文件每行列名所在的列
for j in `seq 1 4 $REAL_COL_NUM`
do
k=`expr $j + 1`
m=`expr $j + 2`
n=`expr $j + 3`
COL_NAME=$(echo $FILE_LINE|cut -d " " -f${j})
COL_DATA_TYPE=$(echo $FILE_LINE|cut -d " " -f${k})
COL_DATA_PRECISION=$(echo $FILE_LINE|cut -d " " -f${m})
COL_DATA_SCALE=$(echo $FILE_LINE|cut -d " " -f${n})
#判断列的数据类型是否是NUMBER
if [ "$COL_DATA_TYPE" = "NUMBER" ]
then
#循环拼接SQL查询中的CAST(* AS *) AS *部分,追加到临时文件中
echo "CAST($COL_NAME AS $COL_DATA_TYPE($COL_DATA_PRECISION,$COL_DATA_SCALE)) AS $COL_NAME" >> ${TABLE_NAME}.txt
else
#循环拼接SQL查询中的列名部分，追加到临时文件中
echo "$COL_NAME" >> ${TABLE_NAME}.txt
fi
done
#拼接完整的SQL语句,追加到临时文件中
echo "select $(cat ${TABLE_NAME}.txt |tr "\n" ","|sed -e 's/,$/\n/') from $TABLE_NAME where $(sed -n ${i}p oracle_tables.txt|cut -d ' ' -f$COL_NUM)>=trunc(sysdate-2) and $(sed -n ${i}p oracle_tables.txt|cut -d ' ' -f$COL_NUM)<trunc(sysdate-1)" >> ${TABLE_NAME}.sql
#循环追加每个表对应的连接器到自动创建连接器的脚本中
cat >> create-connect.sh << EOF
curl -X POST http://localhost:8083/connectors -H "Content-Type: application/json" -d '{
"name": "jdbc_source_$TABLE_NAME",
"config": {
"connector.class": "io.confluent.connect.jdbc.JdbcSourceConnector",
"connection.url": "jdbc:oracle:thin:@{{ ORACLE_IP }}:{{ ORACLE_PORT }}:orcl",
"connection.user": "{{ ORACLE_USER }}",
"connection.password": "{{ ORACLE_PASSWD }}",
"topic.prefix": "YC_$TABLE_NAME",
"mode": "{{ CONNECT_MODE }}",
"query": "$(cat ${TABLE_NAME}.sql)"
}
}' >/dev/null 2>&1
EOF
done
说明：脚本中{{ 变量名 }}部分的内容是获取ansible中的变量，这个脚本是和ansible结合使用的。
增强版处理表信息脚本
#!/bin/bash
#获取临时文件的行数
FILE_NUM=$(cat oracle_time_tables.txt |egrep -v '#|^$'|wc -l)
#清空创建连接器的脚本并追加echos函数
> create-jdbc-connect.sh
cat >> create-jdbc-connect.sh << EOF
#!/bin/bash
echos(){
case \$1 in
red) echo -e "\033[31m \$2 \033[0m";;
green) echo -e "\033[32m \$2 \033[0m";;
yellow) echo -e "\033[33m \$2 \033[0m";;
blue) echo -e "\033[34m \$2 \033[0m";;
purple) echo -e "\033[35m \$2 \033[0m";;
*) echo "\$2";;
esac
}
EOF
> create-jdbc-connect-time.sh
cat >> create-jdbc-connect-time.sh << EOF
#!/bin/bash
echos(){
case \$1 in
red) echo -e "\033[31m \$2 \033[0m";;
green) echo -e "\033[32m \$2 \033[0m";;
yellow) echo -e "\033[33m \$2 \033[0m";;
blue) echo -e "\033[34m \$2 \033[0m";;
purple) echo -e "\033[35m \$2 \033[0m";;
*) echo "\$2";;
esac
}
EOF
#创建表相关文件目录
mkdir -p ./TABLE_TIME
#循环临时文件每一行
for i in `seq $FILE_NUM`
do
FILE_LINE=$(sed -n ${i}p oracle_time_tables.txt)
TABLE_NAME=$(echo ${FILE_LINE}|sed 's/[ \t]*$//g'|awk '{print $(NF)}')
COL_NUM=$(echo ${FILE_LINE}|sed 's/[ \t]*$//g'|awk -F "[ ]" '{print NF}')
REAL_COL_NUM=`expr $COL_NUM - 2`
#清空临时文件
>./TABLE_TIME/${TABLE_NAME}_time.txt
>./TABLE_TIME/${TABLE_NAME}_time.sql
>./TABLE_TIME/${TABLE_NAME}.sql
#循环临时文件每行列名所在的列
for j in `seq 1 4 $REAL_COL_NUM`
do
k=`expr $j + 1`
m=`expr $j + 2`
n=`expr $j + 3`
COL_NAME=$(echo $FILE_LINE|cut -d " " -f${j})
COL_DATA_TYPE=$(echo $FILE_LINE|cut -d " " -f${k})
COL_DATA_PRECISION=$(echo $FILE_LINE|cut -d " " -f${m})
COL_DATA_SCALE=$(echo $FILE_LINE|cut -d " " -f${n})
#判断列的数据类型是否是NUMBER
if [ "$COL_DATA_TYPE" = "NUMBER" ]
then
#循环拼接SQL查询中的CAST(* AS *) AS *部分,追加到临时文件中
echo "CAST($COL_NAME AS $COL_DATA_TYPE($COL_DATA_PRECISION,$COL_DATA_SCALE)) AS $COL_NAME" >> ./TABLE_TIME/${TABLE_NAME}_time.txt
else
#循环拼接SQL查询中的列名部分，追加到临时文件中
echo "$COL_NAME" >> ./TABLE_TIME/${TABLE_NAME}_time.txt
fi
#判断是否存在hosts中定义的时间列，如果有就追加该列名进一个临时文件中
TIME_COL=({{ TABLE_TIME_COL }})
for TIME in ${TIME_COL[@]}
do
if [ "$COL_NAME" = "$TIME" ]
then
echo "$COL_NAME" > ./TABLE_TIME/${TABLE_NAME}_TIME_COL.txt
fi
done
done
#拼接完整的SQL语句,追加到临时文件中
if [ -f "./TABLE_TIME/${TABLE_NAME}_TIME_COL.txt" ]
then
#echo "select $(cat ./TABLE_TIME/${TABLE_NAME}.txt |tr "\n" ","|sed -e 's/,$/\n/') from {{ ORACLE_TABLES_USER }}.$TABLE_NAME where $(sed -n ${i}p oracle_tables.txt|cut -d ' ' -f$COL_NUM)>=trunc(sysdate-2) and $(sed -n ${i}p oracle_tables.txt|cut -d ' ' -f$COL_NUM)<trunc(sysdate-1)" >> ./TABLE_TIME/${TABLE_NAME}_time.sql
echo "select $(cat ./TABLE_TIME/${TABLE_NAME}_time.txt |tr "\n" ","|sed -e 's/,$/\n/') from {{ ORACLE_TABLES_USER }}.$TABLE_NAME where $(cat ./TABLE_TIME/${TABLE_NAME}_TIME_COL.txt)>=trunc(sysdate-2) and $(cat ./TABLE_TIME/${TABLE_NAME}_TIME_COL.txt)<trunc(sysdate-1)" >> ./TABLE_TIME/${TABLE_NAME}_time.sql
else
echo "select $(cat ./TABLE_TIME/${TABLE_NAME}_time.txt |tr "\n" ","|sed -e 's/,$/\n/') from {{ ORACLE_TABLES_USER }}.$TABLE_NAME" >> ./TABLE_TIME/${TABLE_NAME}.sql
fi
#循环追加每个表对应的连接器到自动创建连接器的脚本中
if [ -f "./TABLE_TIME/${TABLE_NAME}_TIME_COL.txt" ]
then
cat >> create-jdbc-connect-time.sh << EOF
#创建表 $TABLE_NAME 连接器的命令如下
curl -X POST http://localhost:8083/connectors -H "Content-Type: application/json" -d '{
"name": "jdbc_time_$TABLE_NAME",
"config": {
"connector.class": "io.confluent.connect.jdbc.JdbcSourceConnector",
"connection.url": "jdbc:oracle:thin:@{{ ORACLE_IP }}:{{ ORACLE_PORT }}:{{ ORACLE_SERVER_NAME }}",
"connection.user": "{{ ORACLE_USER }}",
"connection.password": "{{ ORACLE_PASSWD }}",
"topic.prefix": "YC_${TABLE_NAME}_INSERT",
"poll.interval.ms": "86400000",
"mode": "{{ CONNECT_MODE }}",
"numeric.mapping": "best_fit",
"query": "$(cat ./TABLE_TIME/${TABLE_NAME}_time.sql)"
}
}' >/dev/null 2>&1
#判断连接器是否创建成功
if [ \$? -eq 0 ]
then
echos green "\$(date +"%F %H:%M:%S") 创建jdbc_time_${TABLE_NAME} 连接器成功"
else
echos red "\$(date +"%F %H:%M:%S") 创建jdbc_time_${TABLE_NAME} 连接器失败"
fi
EOF
else
cat >> create-jdbc-connect.sh << EOF
#创建表 $TABLE_NAME 连接器的命令如下
curl -X POST http://localhost:8083/connectors -H "Content-Type: application/json" -d '{
"name": "jdbc_$TABLE_NAME",
"config": {
"connector.class": "io.confluent.connect.jdbc.JdbcSourceConnector",
"connection.url": "jdbc:oracle:thin:@{{ ORACLE_IP }}:{{ ORACLE_PORT }}:{{ ORACLE_SERVER_NAME }}",
"connection.user": "{{ ORACLE_USER }}",
"connection.password": "{{ ORACLE_PASSWD }}",
"topic.prefix": "YC_${TABLE_NAME}_INSERT",
"poll.interval.ms": "86400000",
"mode": "{{ CONNECT_MODE }}",
"numeric.mapping": "best_fit",
"query": "$(cat ./TABLE_TIME/${TABLE_NAME}.sql)"
}
}' >/dev/null 2>&1
#判断连接器是否创建成功
if [ \$? -eq 0 ]
then
echos green "\$(date +"%F %H:%M:%S") 创建jdbc_${TABLE_NAME} 连接器成功"
else
echos red "\$(date +"%F %H:%M:%S") 创建jdbc_${TABLE_NAME} 连接器失败"
fi
EOF
fi
done
到此这篇关于python结合shell自动创建kafka的连接器的文章就介绍到这了,更多相关python创建kafka连接器内容请搜索编程网以前的文章或继续浏览下面的相关文章希望大家以后多多支持编程网！
免责声明：
① 本站未注明“稿件来源”的信息均来自网络整理。其文字、图片和音视频稿件的所属权归原作者所有。本站收集整理出于非商业性的教育和科研之目的，并不意味着本站赞同其观点或证实其内容的真实性。仅作为临时的测试数据，供内部测试之用。本站并未授权任何人以任何方式主动获取本站任何信息。
② 本站未注明“稿件来源”的临时测试数据将在测试完成后最终做删除处理。有问题或投稿请发送至: 邮箱/279061341@qq.com QQ/279061341
