• sqlalchemy soup raw sql update sql example


    #!/usr/bin/env python
    #encoding=utf-8
    from sqlalchemy.ext.sqlsoup import SqlSoup
    from sqlalchemy import *
    import datetime
    from elixir import *
    db = create_engine("mysql://root:1111t@localhost:3306/search?charset=utf8")#使用前首先要创建数据库
    metadata.bind = db
    metadata.bind.echo = True
    class Product(Entity):
        using_options(tablename='model_product')
        name                        = Field(Unicode(200))
        en_name    = Field(Unicode(200))
        price                       = Field(Float)
        en_price    = Field(Float)
        productid                   = Field(Unicode(200))
        site                        = Field(Unicode(30))
        link                        = Field(Unicode(300))
        smallImage                  = Field(Unicode(300))
        bigImage                    = Field(Unicode(300))
        description                 = Field(UnicodeText)
        en_description              = Field(UnicodeText)
        createdOn                   = Field(DateTime, default=datetime.datetime.now)
        modifiedOn                  = Field(DateTime, default=datetime.datetime.now)
        size                        = Field(Unicode(30))
        en_size                     = Field(Unicode(30))
        weight                      = Field(Unicode(30))
        en_weight                   = Field(Unicode(30))
        wrap                        = Field(Unicode(30))
        en_wrap                     = Field(Unicode(30))
        material                    = Field(Unicode(30))
        en_material                 = Field(Unicode(30))
        packagingCount              = Field(Unicode(30))
        stock                       = Field(Integer)
        location                    = Field(Unicode(30))
        en_location                 = Field(Unicode(30))
        popularity                  = Field(Integer)
        inStock                     = Field(Boolean)
        categories                  = Field(Unicode(30))
        def __repr__(self):
            return '<Global "%s" (%s)>' % (self.codepath, self.storepath)    
    setup_all()
    create_all()
    print "hello"
    #更新
    #session.query(Product).update({Product.en_name:None}) 
    #session.commit()
    #session.commit()
    #sql语句
    soup = SqlSoup(MetaData(db))
    rp=soup.bind.execute("select id from model_product")
    print len(rp.fetchall())
    print "done"

    Raw SQL

    SqlSoup works fine with SQLAlchemy's text block support.

    You can also access the SqlSoup's engine attribute to compose SQL directly. The engine's execute method corresponds to the one of a DBAPI cursor, and returns aResultProxy that has fetch methods you would also see on a cursor:

    >>> rp = db.bind.execute('select name, email from users order by name')
    >>> for name, email in rp.fetchall(): print name, email
    Bhargan Basepair basepair+nospam@example.edu
    Joe Student student@example.edu

    The docs for SqlSoup in the 0.3 branch are preserved at SqlSoup03. This page describes the 0.4 branch.

    Introduction

    SqlSoup provides a convenient way to access database tables without having to declare table or mapper classes ahead of time.

    Suppose we have a database with users, books, and loans tables (corresponding to the PyWebOff dataset, if you're curious). For testing purposes, we'll create this db as follows:

    >>> from sqlalchemy import create_engine
    >>> e = create_engine('sqlite:///:memory:')
    >>> for sql in _testsql: e.execute(sql) #doctest: +ELLIPSIS
    <...
    

    Creating a SqlSoup gateway is just like creating an SQLAlchemy engine:

    >>> from sqlalchemy.ext.sqlsoup import SqlSoup
    >>> db = SqlSoup('sqlite:///:memory:')
    

    or, you can re-use an existing metadata or engine:

    >>> db = SqlSoup(MetaData(e))
    

    You can optionally specify a schema within the database for your SqlSoup:

    # >>> db.schema = myschemaname
    http://www.rmunn.com/sqlalchemy-tutorial/tutorial.html
  • 相关阅读:
    IntelliJ IDEA 使用总结[zz]
    “vmware tools 只能虚拟机中安装”的解决方法
    Git 少用 Pull 多用 Fetch 和 Merge
    hypervisor与VMware共存方法
    rsa && sha1 js code
    PHP导出数据库方法
    Git中的AutoCRLF与SafeCRLF换行符问题
    DOTA2参数收集
    HelloGitHub.com 网站开源了
    第 10 篇 评论接口
  • 原文地址:https://www.cnblogs.com/lexus/p/1855402.html
Copyright © 2020-2023  润新知