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        • Create and manage partition tables
          • About partitioned tables
          • Create a partitioned table
          • Manage a partitioned table
          • Create a subpartitioned table
          • Manage a subpartitioned table
          • Partition routing
          • Indexes on partitioned tables
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          • Create a table
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Overview System architecture Compatibility with MySQL Limits Overview SQL data types Built-in functions System views Quick start with OceanBase Database Experience operational OLAP Experience parallel import and data compression Experience the multitenancy feature Connect Python applications to OceanBase Database Connect Java applications to OceanBase Database Connect C applications to OceanBase Database Connect Python applications to OceanBase Database Connect Java applications to OceanBase Database Connect C applications to OceanBase Database Usage notes Basic SQL operations (MySQL mode) Basic SQL operations (Oracle mode) Overview Deployment procedure HA solution for OceanBase clusters Prepare servers Configure servers Prepare installation packagesOverview Migrate data by using SQL scripts Migrate data by using MySQLDumpMigrate data by using DataX Migrate data by using OUTFILE statements
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Connect Python applications to OceanBase Database

Last Updated:2023-07-24 09:52:12  Updated
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This topic describes how to connect Python applications to OceanBase Database by using OceanBase Connector/J and provides sample code.

Prerequisites

  • A basic database development environment is deployed.

  • You have installed or upgraded to JDK 8 on your computer.

  • The Python environment on your computer is version 3.6.8.

  • You have obtained the installation package of the OceanBase Connector/J driver from OceanBase Technical Support.

Procedure

  1. Install JayDeBeApi. We recommend that you install JayDeBeApi with pip. For more information, see Install JayDeBeApi with pip.

    // Install JayDeBeApi of Python 3.
    pip3 install JayDeBeApi
    
  2. Place the JAR installation package of OceanBase Connection/J in the current directory.

  3. Establish a connection with OceanBase Database. The following sample code takes test.py as an example.

    #!/usr/bin/env python3.6
    # -*- coding: UTF-8 -*-
    encoding = "utf8"
    import jaydebeapi
    def ob_test():   
            url = 'jdbc:oceanbase://host:port'
            user = 's**@oracle'
            password = '**1***'
            driver = 'com.alipay.oceanbase.jdbc.Driver'
            jarFile = './oceanbase-client-2.2.3.jar'
            sqlStr = 'select * from test_python'  
            # conn=jaydebeapi.connect('oracle.jdbc.driver.OracleDriver','jdbc:oracle:thin:@10.0.0.0:1521/orcl',['hwf_model','hwf_model'],'E:/pycharm/lib/ojdbc14.jar')
            conn = jaydebeapi.connect(driver, url, [user, password], jarFile)
            curs = conn.cursor()
            curs.execute(sqlStr)
            result = curs.fetchall()
            print(result)
            curs.close()
            conn.close()
    ob_test()
    

    Parameters

    • url: jdbc:oceanbase://IP:port/?pool=false. Specifies the IP address and port for connecting to OceanBase Database, which is usually the IP address of an OBProxy.

    • user: the username for connecting to the tenant, in the username@tenant name format. In Oracle mode, the default username of the administrator is SYS.

      Note

      In a private cloud or standalone deployment scenario, the format of the username is String username = "username@tenant#cluster".

    • password: specifies the password of the account.

    • driver: specifies the class path, which does not need to be modified.

    • jarFile: specifies the path of the JAR installation package.

    • sqlStr: specifies the SQL statement, which can be changed as needed.

  4. After you write the script, run it. If query data is returned normally, you have connected to the database.

    python3 test.py
    

For more information about how to use OceanBase Connector/J, see OceanBase Connector/J.

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