sqlalchemy 配合bootstrap-table实现后台分页

创建公共的mysql连接函数

def db_session():
    db_config='mysql+mysqldb://'+ mysqluser + ':' + mysqlpassword+'@'+mysqlip+'/'+dbname + '?charset=utf8'
    echo = True
    IsolationLevel='READ COMMITTED'
    engine=create_engine(db_config,pool_recycle=60,isolation_level=IsolationLevel,echo=echo)
    session=sessionmaker(bind=engine)
    return session()

python代码

# -*- encoding: utf-8 -*-

import tornado
from sqlalchemy import *

from common.db_session import *
from tornado.concurrent import run_on_executor
from concurrent.futures import ThreadPoolExecutor

class checkJDBCList(tornado.web.RequestHandler):
    executor = ThreadPoolExecutor(20)

    @tornado.gen.coroutine
    def get(self):  # 跳转页面
        title = "test"
        ps = self.get_page_config(title)
        self.render('test.html',**ps)

    def post(self):  # 表格请求数据
        system = self.get_arg("system", "%")
        offset = self.get_arg('offset', 0)
        order_field = self.get_arg('order_field', "createTime")
        order_type = self.get_arg("order_type", "desc")
        page_size = self.get_arg('pageSize', 10)
        # 我们自定义的方法不支持异步。所以使用协程来提升性能
        total_count, connection_list = yield self.connection_number_warning(employee_number, system_enname, offset, order_field, order_type, page_size)
        # total和rows是必须要的2个参数，可以添加其他的参数
        self.write({"total": total_count, "rows": connection_number_warning_list})
            
    @run_on_executor
    def connection_number_warning(self, employee_number, system_enname, offset, order_field, order_type, page_size):
        total_count = 0
        connection_numbe_list = []
        session = db_session()
        try:
            connection_list = session.query()  # 查询的字段
            connection_list = connection_list.filter()  # 查询条件
            connection_list = connection_list.offset(offset)  # 跳过多少行，分页用的
            connection_list = connection_list.order_by(order_field + " " + order_type)  # 排序字段和方式
            connection_list = connection_list.limit(page_size).all()  # 查询多少行数据

            for connection_db in connection_list:  # 将查询的结果转换成[{"key": "value"}]这种格式
                connection = {}
                connection["system"] = connection_db[0]
                connection_number_list.append(connection)

            total_count = session.query(func.count("*")).filter().scalar()  #查询符合条件的数据总量
        except Exception as e:
            print e
        finally:
            session.close()
        return total_count, connection_number_warning_list