Cx Oracle Python
*Cx Oracle Python Executemany Example*Cx_oracle Python Tutorial*Cx_oracle Python Documentation*Cx_oracle PythonLatest version Released- A very simple asynchronous wrapper that allows you to get access to the Oracle database in asyncio programs. - GoodManWEN/cx_Oracle_asyncProject descriptionA very simple asynchronous wrapper that allows you to get access to the Oracle database in asyncio programs.For those looking for how to specify servicename instead of SID. From changelog for SQLAlchemy 1.0.0b1 (released on March 13, 2015)- oracle feature Added support for cxoracle connections to a specific service name, as opposed to a tns name, by passing?servicename= to the URL. Get code examples likecx oracle python example query large table. Write more code and save time using our ready-made code examples.Easy to use , buy may not the best practice for efficiency concern.The mapping between Python and Oracle objects is handled in SDOInConverter which uses the cxOracle newobject and extend methods to create an Oracle object from the Python object values. The SDOInConverter method is called by the input type handler SDOInputTypeHandler whenever an instance of mySDO is inserted with the cursor.Requirements*cx_Oracle gt= 8.1.0 (Take into consideration that author of cx_Oracle said hes trying to implement asyncio support , APIs maybe change in future version. Switch to 8.1.0 if theres something wrong makes it not gonna work.)InstallFeature*Nearly all the same as aiomysql in asynchronous operational approach , with limited cx_Oracle feature support.*No automaticly date format transition built-in.*AQ feature added , check docs here for further information.*You can modify some of the connection properties simply like youre using cx_Oracle.*You can do basic insert / select / delete etc.*If youre connecting to database which is on a different machine from python process , you need to install oracle client module in order to use this library. Check cx-Oracles installation guide for further information.DocumentationPerformancequery typeasynchronous multithreadingsynchronous multithreadingsynchronous single threadfast single line query6259.80 q/s28906.93 q/s14805.61 q/ssingle line insertion1341.88 q/s1898 q/s1685.17 q/s/* Test platform- */AMD Ryzen 3700xWindows 10 LTSCOracle 19cYou can find performance test codes here.ExamplesBefore running examples , make sure youve already installed a Oracle Client on your machine.Release historyRelease notifications | RSS feed 0.3.2 0.3.0 0.2.3 0.2.2 0.2.0 0.1.4 0.1.3 0.1.2 0.1.1 0.1.0 Download filesCx Oracle Python Executemany ExampleDownload the file for your platform. If youre not sure which to choose, learn more about installing packages.Files for cx-Oracle-async, version 0.3.2Filename, sizeFile typePython versionUpload dateHashesFilename, size cx_Oracle_async-0.3.2-py3-none-any.whl (11.1 kB) File type Wheel Python version py3 Upload dateHashesFilename, size cx_Oracle_async-0.3.2.tar.gz (7.8 kB) File type Source Python version None Upload dateHashesCloseHashes for cx_Oracle_async-0.3.2-py3-none-any.whl Cx_oracle Python TutorialHashes for cx_Oracle_async-0.3.2-py3-none-any.whlAlgorithmHash digestSHA25684deed43cff40fb0d784ea99aa63e98c5edd3c78ac21bc0a44319fa17c0ed6a2MD562411b7ff4b87ed27954273f2f37ebe6BLAKE2-256f2184014d0eb5055cc5b3fa5786eda0bfe2cc1c788ec833c3263ef2b00604023CloseCx_oracle Python DocumentationHashes for cx_Oracle_async-0.3.2.tar.gz Cx_oracle PythonHashes for cx_Oracle_async-0.3.2.tar.gzAlgorithmHash digestSHA2564637887fcf9eaa1f11b4742160ce661c1eb815364fb27986ef3e1801d81b003bMD594ea7245f8d2d8fefb153adc76f4bf17BLAKE2-25661f0634139d33cc5460f3bd8e95e2a9eff0c65b4a001595e4305288b761143cd