Note that it's possible to overwrite default jet generator behavior. This is done be combining autogenerated model types, or it can be doneīy combining custom model types(see wiki for more information). Usually this is the most complex and tedious work, but with Jet it is the easiest.įirst we have to create desired structure to store query result. Let's see how can we make some sense of result set returned executingĪbove statement. Well-formed SQL is just a first half of the job. film_id ASC Execute query and store result last_update AS "category.last_update " FROM dvds. category_id AS "category.category_id ",Ĭategory. last_update AS "language.last_update ",Ĭategory. special_features AS "film.special_features ", replacement_cost AS "film.replacement_cost ",įilm. rental_duration AS "film.rental_duration ",įilm. release_year AS "film.release_year ",įilm. last_update AS "actor.last_update ",įilm. How to get a parametrized SQL query from the statement? Actor.ActorID, FilmActor.ActorID, Film.Length are integer columnsĪnd can be compared only with integer columns and expressions. String column Language.Name and Category.Name can be compared only with Package(dot) import is used, so the statements look as close as possible to the native SQL. LastUpdate), // all language columns except last_update Category. LastUpdate, // or just Actor.AllColumns Film. Use the command bellow to add jet as a dependency into go.mod project:Īctor. To install Jet package, you need to install Go and set your Go workspace first. Query execution with result mapping to arbitrary destination. Can be combined to create complex query result destination. JetBrains DataGrip is a cross-platform IDE for SQL with first-class support for Microsoft SQL Server and other databases and DDl sources.
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