goMongoSql 是在开源项目sqlparser（https://github.com/xwb1989/sqlparser ）基础上针对Mongodb sql的二次开发，
sqlparser负责将标准的sql语句解析成语法树，可以从语法树中获取select字段、表名、where条件等sql语句组成部分，并且
可以将where条件解析成最小的元素，比如"where id = 1" 可以解析为Left(id)、Operator(=)、Right(1)。这样就可以将
这种最小的元素拼接成任何数据库的语法<\br>
main.go: 程序入口
sqlVist.go: mogodb语法拼接，需要将该文件放到sqlparser包中，供main.go调用<\br>
项目是放在docker容器中运行，依赖的mongodb环境是单独放在一个容器，解析程序是单独放在一个容器。运行的时候要先启动mongodb，在运行解析程序。
mongodb版本：MongoDB shell version v3.4.9<br>
###测试数据：
[2017-10-06 01:06:12](127.0.0.1:27888/test)>db.list.find()<br>
{ "_id" : "1", "type" : "city", "sheng" : "jiangsu", "name" : "nanjing" }
{ "_id" : "2", "type" : "city", "sheng" : "jiangsu", "name" : "xuzhou" }
{ "_id" : "3", "type" : "city", "sheng" : "jiangsu", "name" : "suzhou" }
{ "_id" : "4", "type" : "city", "sheng" : "china", "name" : "beijing" }
{ "_id" : "5", "type" : "city", "sheng" : "china", "name" : "shanghai" }
{ "_id" : "6", "type" : "city", "sheng" : "zhejiang", "name" : "hangzhou" }
{ "_id" : "7", "type" : "city", "sheng" : "zhejiang", "name" : "wuzhen" }
###支持的sql类型:
sql := "select type,sheng,name from tt where _id = 1 and type = 'city' and sheng = 'jiangsu' and name = 'nanjing'"
sql := "select type,sheng,name from tt where type = 'city' or name = 'nanjing'"
sql := "select type,sheng,name from tt where (type = 'city' and name = 'nanjing') or (type = 'city' and name = 'shanghai')"
sql := "select type,sheng,name from tt where _id >= 1 and _id < 6"
sql := "select type,sheng,name from tt where sheng != 'jiangsu' or _id != 4 and name = 'wuzhen' "
###流程 1.运行Mongodb容器
xgx@xgx-virtual-machine:~$ sudo docker images
REPOSITORY TAG IMAGE ID CREATED SIZE
<none> <none> 14be7ede2af7 3 minutes ago 132 MB
ubunt_v2 latest 831fde02fb68 40 minut
5FC3
es ago 127 MB
mongo 3.4_v1 9cc2afe1ded3 7 hours ago 360.9 MB
ubuntu 16.04 747cb2d60bbe 7 days ago 122 MB
ubuntu latest 747cb2d60bbe 7 days ago 122 MB
mongo 3.4 42e262dc0845 8 days ago 360.9 MB
xgx@xgx-virtual-machine:~$ sudo docker run -p 27017:27017 -v $PWD/db:/data/db -d 9cc2afe1ded3
db50fb249e58e7201f6e5f8f627a35353d52cdee2ed40a4ae465a9b9bfe3f66c
2.运行go解析容器
xgx@xgx-virtual-machine:~$ sudo docker run -ti 831fde02fb68
例子1：
root@42daacbd6c86:/# /home/hello
please enter sql:
select id,name from tt where name = 'nanjing'
获取select字段:
id
name
获取where条件:
map[name:nanjing]
最终的返回值：&{[id name] tt map[name:nanjing] map[]}
==========================
-----record:1
Result:1
Result:jiangsu
Result:nanjing
例子2：
root@42daacbd6c86:/# /home/hello
please enter sql:
select id,name from tt where _id >= 1 and _id < 6
获取select字段:
id
name
获取where条件:
map[$and:[map[_id:map[$gte:1]] map[_id:map[$lt:6]]]]
最终的返回值：&{[id name] tt map[$and:[map[_id:map[$gte:1]] map[_id:map[$lt:6]]]] map[]}
==========================
-----record:1
Result:1
Result:jiangsu
Result:nanjing
-----record:2
Result:2
Result:jiangsu
Result:xuzhou
-----record:3
Result:3
Result:jiangsu
Result:suzhou
-----record:4
Result:4
Result:china
Result:beijing
-----record:5
Result:5
Result:china
Result:shanghai
例子3：
root@42daacbd6c86:/# /home/hello
please enter sql:
select id,name from tt where name = 'nanjing' or _id != 4 and name = 'wuzhen'
获取select字段:
id
name
获取where条件:
map[$or:[map[name:nanjing] map[$and:[map[_id:map[$ne:4]] map[name:wuzhen]]]]]
最终的返回值：&{[id name ] tt map[$or:[map[name:nanjing] map[$and:[map[_id:map[$ne:4]] map[name:wuzhen]]]]] map[]}
==========================
-----record:1
Result:1
Result:jiangsu
Result:nanjing
-----record:2
Result:7
Result:zhejiang
Result:wuzhen
例子4：
root@42daacbd6c86:/# /home/hello
please enter sql:
select id,name from tt where (type = 'city' and name = 'nanjing') or (type = 'city' and name = 'shanghai')
获取select字段:
id
name
获取where条件:
map[$or:[map[$and:[map[type:city] map[name:nanjing]]] map[$and:[map[type:city] map[name:shanghai]]]]]
最终的返回值：&{[id name] tt map[$or:[map[$and:[map[type:city] map[name:nanjing]]] map[$and:[map[type:city] map[name:shanghai]]]]] map[]}
==========================
-----record:1
Result:1
Result:jiangsu
Result:nanjing
-----record:2
Result:5
Result:china
Result:shanghai