dart_odbc

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Description:

dart odbc

dart_odbc #
A Dart package for interacting with ODBC databases. It allows you to connect to ODBC data sources and execute SQL queries directly from your Dart applications.
This package is inspired by the obsolete odbc package by Juan Mellado.

Usage #

Instanciate the ODBC class by providing the path to the odbc driver on the host machine

final odbc = DartOdbc(
'/path/to/the/odbc/driver',
version=SQL_OV_ODBC3_80 // optional
);
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Path to ODBC Driver #
Path to the ODBC driver can be found in the ODBC driver manager.
In windows this is a .dll file that is there in the installation folder of the ODBC driver.
In linux this has an extension of .so.
In macos this should have an extension of .dylib.
version #
The ODBC version can be specified using the version parameter.
Definitions for these values can be found in the LibODBC class.
Please note that some drivers may not work properly with manually setting version.

Connect to the database by providing the DSN (Data Source Name) configured in the ODBC Driver Manager

await odbc.connect(
dsn: '<your_dsn>',
username: 'db_username',
password: 'db_password',
);
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Or connect to the database via connection string

await odbc.connectWithConnectionString(
"DRIVER={Microsoft Excel Driver (*.xls, *.xlsx, *.xlsm, *.xlsb)};DBQ=C:\Users\Computer\AppData\Local\Temp\test.xlsx;"
);
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DSN (Data Source Name) #
This is the name you gave when setting up the driver manager.
For more information, visit this page from the MySQL Documentation

In case the path privided to the driver is invalid or there is any issue with setting up the environment/connecting to the database, an Exception will be thrown when intanciating the ODBC or connecting to the database.
Execute your queries directly as follows

final result = await odbc.execute("SELECT 10");
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Executing prepared statements #

Prepared statements can be used to prevent SQL Injection
Example query

final List<Map<String, dynamic>> result = await odbc.execute(
'SELECT * FROM USERS WHERE UID = ?',
params: [1],
);
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Providing configuration for result set columns #

The abstraction layer of DartOdbc should be able to handle output for most queries
But output for columns with very long column size or uncommon data types could get corrupted due to issues in default memory allocation
Thes can be handled by providing the ColumnType in the columnConfig parameter of the execute method on DartOdbc class
Please refer the following example


// Assume a table like this
// +-----+-------+-------------+
// | UID | NAME | DESCRIPTION |
// +-----+-------+-------------+
// | 1 | Alice | |
// | 2 | Bob | |
// +-----+-------+-------------+
// The name is a column of size 150
// The description is a column of size 500

result = await odbc.execute(
'SELECT * FROM USERS WHERE UID = ?',
params: [1],

/// The column config can be provided as this.
/// But for most cases this config is not necessary
/// This is only needed when the data fetching is not working as expected
/// Only the columns with issues need to be provided
columnConfig: {
'NAME': ColumnType(size: 150),
'DESCRIPTION': ColumnType(type: SQL_C_WCHAR, size: 500),
},
);

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Result will be a Future of List of Map objects (Future<List<Map<String, dynamic>>>) where each Map represents a row. If anything goes wrong an ODBCException will be thrown

Get Tables #
final List<Map<String, String>> tables = await odbc.getTables();
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Disconnecting from the database #

Finally, don't forget to disconnect from the database and free resources.

await odbc.disconnect();
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Accessing ODBC diver bindings directly #


Native ODBC methods can be executed by using the LibOdbc class


For more information on the ODBC api go to Microsoft ODBC Documentation


Tested On #
This package has been tested to be working on the following Database Servers

Microsoft SQL Sever
Oracle

Support for other Database Servers #

Although not tested, this plugin should work on any database that provides an ODBC Driver.
For a comprehensive list of supported database servers checkout Drivers section of the official unixodbc site

License

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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