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While SQLAlchemy includes many dialects within the core distribution, the trend for new dialects should be that they are published as external projects. SQLAlchemy has since version 0.5 featured a "plugin" system which allows external dialects to be integrated into SQLAlchemy using standard setuptools entry points. As of version 0.8, this system has been enhanced, so that a dialect can also be "plugged in" at runtime.

On the testing side, SQLAlchemy as of 0.8 also includes a "dialect compliance suite" that is usable by third party libraries. There is no longer a strong need for a new dialect to run through SQLAlchemy's full testing suite, as a large portion of these tests do not have dialect-sensitive functionality. The "dialect compliance suite" should be viewed as the primary target for new dialects, and as it continues to grow and mature it should become a more thorough and efficient system of testing new dialects. As of SQLAlchemy 0.9.4, both nose and pytest are supported for running tests, and pytest is now preferred.

While SQLAlchemy includes many dialects within the core distribution, the trend for new dialects should be that they are published as external projects. SQLAlchemy has since version 0.5 featured a "plugin" system which allows external dialects to be integrated into SQLAlchemy using standard setuptools entry points. As of version 0.8, this system has been enhanced, so that a dialect can also be "plugged in" at runtime.

On the testing side, SQLAlchemy as of 0.8 also includes a "dialect compliance suite" that is usable by third party libraries. There is no longer a strong need for a new dialect to run through SQLAlchemy's full testing suite, as a large portion of these tests do not have dialect-sensitive functionality. The "dialect compliance suite" should be viewed as the primary target for new dialects, and as it continues to grow and mature it should become a more thorough and efficient system of testing new dialects. As of SQLAlchemy 0.9.4, both nose and pytest are supported for running tests, and pytest is now preferred.

While SQLAlchemy includes many dialects within the core distribution, the trend for new dialects should be that they are published as external projects. SQLAlchemy has since version 0.5 featured a "plugin" system which allows external dialects to be integrated into SQLAlchemy using standard setuptools entry points. As of version 0.8, this system has been enhanced, so that a dialect can also be "plugged in" at runtime.