python结合shell自动创建kafka的连接器实战教程

目录

• 环境
• 安装连接oracle的python包
• 获取oracle表信息
• 去掉多余部分
• shell 脚本处理表信息文件
• 增强版处理表信息脚本

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.txt

cat 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)> ${TABLE_NAME}.sql
#循环追加每个表对应的连接器到自动创建连接器的脚本中
cat >> create-connect.sh << EOF
curl -X POST http://localhost:8083/connectors -H "Content-Type: application/json" -d '{
"name": "jdbc_source_$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)> ./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)> ./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连接器内容请搜索脚本之家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脚本之家！