Cx Oracle Python

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Cx_oracle python 2.7

Cx_oracle Python Documentation

  1. Connect : Now Establish a connection between the Python program and Oracle database by using connect function. Con = cxOracle.connect ('username/password@localhost') cursor : To execute a SQL query and to provide results some special object is required that is nothing but cursor object.
  2. CxOracle enables access to Oracle Database from Python and conforms with the Python database API specification. The module works with Oracle Database 11g and 12c and both Python 2.x and 3.x. We have just released the first RPM builds of cxOracle on the Oracle Linux yum server, including the latest cxOracle 7.0.
  3. Once Oracle, Python, cxOracle package and Instant Client are ready, we can connect to Oracle from Python. The following program will connect to Oracle Database using username hr and password hr. In case you are trying to use a different account or a different version of Oracle database then feel free to change the details and experiment.
  4. CxOracle = 8.1.0 (Take into consideration that author of cxOracle said he's trying to implement asyncio support, APIs maybe change in future version. Switch to 8.1.0 if there's something wrong makes it not gonna work.) ThreadPoolExecutorPlus = 0.2.0; Install pip install cxOracleasync Feature.

CxOracle – Python Tutorials. September 12, 2018. Leave a Comment. Here I am providing the list of cxOracle tutorials I have given on this blog for the Python programs. You will learn how to use the Oracle database as a backend for your Python applications by using the cxOracle library. The following is the list of posts.

Cx_oracle Python Connection

Cx_oracle python tutorial

Cx_oracle Python Documentation

  • Easily installed from PyPI.

  • Support for Python 3.6 and higher. Older versions of cx_Oracle may be used with previous Python releases.

  • Support for Oracle Client 11.2, 12, 18, 19 and 21. Oracle's standard cross-version interoperability, allows easy upgrades and connectivity to different Oracle Database versions.

  • Connect to Oracle Database 9.2, 10, 11, 12, 18, 19 or 21 (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.

  • JSON datatype support.

  • SODA (Simple Oracle Document Access).

  • 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 (CQN). 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, with tagging and session state fix-up callback.

  • Database Resident Connection Pooling (DRCP).

  • Privileged Connections.

  • External Authentication.

  • Database startup and shutdown.

  • Sharded Databases.

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

Cx_oracle Python Examples

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.