python执行sql文件

发布时间:2019-09-03 09:27:58编辑:auto阅读(2821)

    最近遇到一对需要执行的sql文件,sql文件内是insert 语句。如下:

    INSERT INTO hs_his.stock_industry VALUES ('采掘', '000006', '深振业A');
    INSERT INTO hs_his.stock_industry VALUES ('采掘', '000409', '山东地矿');
    INSERT INTO hs_his.stock_industry VALUES ('采掘', '000552', '靖远煤电');
    INSERT INTO hs_his.stock_industry VALUES ('采掘', '000571', '新大洲A');
    INSERT INTO hs_his.stock_industry VALUES ('采掘', '000629', '*ST钒钛');
    INSERT INTO hs_his.stock_industry VALUES ('采掘', '000655', '金岭矿业');

    本来需要插入的表并不多,仅七八张,手动执行下也很快。但是实施人员给过来的sql文件,一张表的数据根据数据量硬生生生成了近10个文件。文件多了,若手动执行,很容易出现遗漏或者重复操作,造成错误。
    由于文件内结构比较单一,故用脚本实现。代码如下:

    
    def execute_sql(conn, cur, path=r"D:\个人"):
        """执行指定目录下的.sql文件"""
        os.chdir(path)
        for each in os.listdir("."):
            count = 0   #读取行数
            sql = ""    #拼接的sql语句
            if "hisdatastock_replace.sql" in each:
                with open(each, "r", encoding="utf-8") as f:
                    for each_line in f.readlines():
                        # 过滤数据
                        if not each_line or each_line == "\n":
                            continue
                        # 读取2000行数据,拼接成sql
                        elif count < 2000:
                            sql += each_line
                            count += 1
                        # 读取达到2000行数据,进行提交,同时,初始化sql,count值
                        else:
                            cur.execute(sql)
                            conn.commit()
                            sql = each_line
                            count = 1
                    # 当读取完毕文件,不到2000行时,也需对拼接的sql 执行、提交
                    if sql:
                        cur.execute(sql)
                        conn.commit()

    以上execute_sql函数,会默认执行入参path路径下,所有文件名包含“.sql”文件。
    如下,写一个连接配置数据的类。

    class Connect_mysql:
        """Get Configuration and Connect to Mysql!"""
        def __init__(self):
            setup_logging()
        def get_config(self,file_name="config"):
            """Get Configuration!"""
            with open(file_name, "r", encoding="utf-8") as f:
                config = json.load(f)
            return config
    
        def conn_mysql(self, host, port, user, password, database, charset="utf8"):
            """Connetct to Mysql."""
            logger = logging.getLogger(self.__class__.__name__)
            try:
                conn = pymysql.connect(host=host, port=port, user=user, password=password,  database=database, charset=charset)
                cur = conn.cursor()
                return conn, cur
            except Exception as e:
                logger.info('Connect to mysql Error!')
                logger.error(e)

    get_config函数是获取数据库配置。文件”config“数据库配置如下:

    {
        "dev":{
            "host":"aaa",
            "port":3306,
            "user":"aaa",
            "password":"aaa",
            "database":"aaa",
            "charset":"utf8"
            },
        "localhost":{
            "host":"localhost",
            "port":3306,
            "user":"root",
            "password":"123456",
            "database":"ifs_test1",
            "charset":"utf8"
            },
        "sit":{
            "host":"ccc",
            "port":3306,
            "user":"ccc",
            "password":"ccc",
            "database":"ccc",
            "charset":"utf8"
            }
    }

    运行代码:

    conn_sql = Connect_mysql()
    config = conn_sql.get_config()  # get configuration
    # Connect to mysql,若需切换数据库,只要替换“dev”为所需数据库即可
    conn, cur = conn_sql.conn_mysql(config["dev"]["host"], config["dev"]["port"], config["dev"]["user"],
                                    config["dev"]["password"], config["dev"]["database"], config["dev"]["charset"])

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