haoybl / python-cx_Oracle

Python interface to Oracle Database conforming to the Python DB API 2.0 specification.

Home Page:https://oracle.github.io/python-cx_Oracle

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Open Source Python/Oracle Utility - cx_Oracle

cx_Oracle is a Python extension module that enables access to Oracle Database. It conforms to the Python database API 2.0 specification with a considerable number of additions and a couple of exclusions.

cx_Oracle is licensed under a BSD license which you can find here.

cx_Oracle 6 has been tested with Python version 2.7, and with versions 3.4 and higher. You can use cx_Oracle with Oracle 11.2, 12.1 and 12.2 client libraries. Oracle's standard client-server version interoperability allows connection to both older and newer databases, for example Oracle 12.2 client libraries can connect to Oracle Database 11.2 or later.

Documentation

See the cx_Oracle Documentation and Release Notes.

Help

Issues and questions can be raised with the cx_Oracle community on GitHub or on the mailing list.

Installation

See cx_Oracle Installation for detailed instructions.

  • The simplest way to install cx_Oracle 6 is with pip:
  python -m pip install cx_Oracle --upgrade

If a binary wheel package is not available on PyPI for your platform, the source package will be used.

Note that if you download a source zip file directly from GitHub that you will also need to download an ODPI-C source zip file and extract it inside the directory called "odpi".

  • After cx_Oracle is installed, Oracle client libraries must also be installed and configured. These can be from Oracle Instant Client, from a local Oracle Database, or from a full Oracle Client installation.

    If you need the libraries, download and unzip the Oracle Instant Client 'Basic' package for your platform and set PATH, LD_LIBRARY_PATH, or similar platform-specific library path loading environment. See the installation notes for ODPI-C for help.

    Versions 11.2, 12.1 and 12.2 of the Oracle Client libraries on Linux, Windows and macOS are supported. Users have also reported success with other platforms.

If you require cx_Oracle 5.3, download a Windows installer from PyPI or use python -m pip install cx-oracle==5.3 to install from source.

Very old versions of cx_Oracle can be found in the files section at SourceForce.

Example

from __future__ import print_function

import cx_Oracle

connection = cx_Oracle.connect("hr", "welcome", "localhost/orclpdb")

cursor = connection.cursor()
cursor.execute("""
    SELECT first_name, last_name
    FROM employees
    WHERE department_id = :did AND employee_id > :eid""",
    did = 50,
    eid = 190)
for fname, lname in cursor:
print("Values:", fname, lname)

For more examples, please see the test suite and the samples. You can also look at the scripts in cx_OracleTools and the modules in cx_PyOracleLib.

Features

  • Easily installed from PyPI.

  • Support for Python 2 and 3.

  • Support for Oracle Client 11.2, 12.1 and 12.2. Oracle's standard cross-version interoperability, allows easy upgrades and connectivity to different Oracle Database versions.

  • Connect to Oracle Database 9.2, 10, 11 or 12 (depending on the Oracle Client version used).

  • SQL and PL/SQL Execution. The underlying Oracle Client libraries have significant optimizations including compressed fetch, pre-fetching, client and server result set caching, and statement caching with auto-tuning.

  • Full use of Oracle Network Service infrastructure, including encrypted network traffic and security features.

  • Extensive Oracle data type support, including large object support (CLOB and BLOB).

  • Direct binding to SQL objects. One great use case is binding Python objects to Oracle Spatial SDO objects.

  • Array operations for efficient INSERT and UPDATEs.

  • Array row counts and batch error handling for array operations.

  • Fetching of large result sets.

  • REF CURSOR support.

  • Support for scrollable cursors. Go back and forth through your query results.

  • Fetch PL/SQL Implicit Results. Easily return query results from PL/SQL.

  • Row Prefetching. Efficient use of the network.

  • Client Result Caching. Improve performance of frequently executed look-up statements.

  • Support for Advanced Queuing. Use database notifications to build micro-service applications.

  • Continuous Query Notification. Get notified when data changes.

  • Support for Edition Based Redefinition. Easily switch applications to use updated PL/SQL logic.

  • Support for setting application context during the creation of a connection, making application metadata more accessible to the database, including in LOGON triggers.

  • End-to-end monitoring and tracing.

  • Transaction Management.

  • Session Pooling.

  • Database Resident Connection Pooling (DRCP).

  • Privileged Connections.

  • External Authentication.

  • Database startup and shutdown.

  • Sharded Databases

  • Oracle Database High Availability Features, such as FAN notifications and Transaction Guard support.

DB API specification exclusions: The time data type is not supported by Oracle and is therefore not implemented. The method cursor.nextset() is not implemented either as the DB API specification assumes an implementation of cursors that does not fit well with Oracle's implementation of cursors and implicit results. See the method cursor.getimplicitresults() for more information.

About

Python interface to Oracle Database conforming to the Python DB API 2.0 specification.

https://oracle.github.io/python-cx_Oracle

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