Update go doc.
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/*
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Package jet is a framework for writing type-safe SQL queries in Go, with ability to easily convert database query
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result into desired arbitrary object structure.
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Package jet is a complete solution for efficient and high performance database access, consisting of type-safe SQL builder
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with code generation and automatic query result data mapping.
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Jet currently supports PostgreSQL, MySQL, MariaDB and SQLite. Future releases will add support for additional databases.
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Installation
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Use the bellow command to add jet as a dependency into go.mod project:
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$ go get github.com/go-jet/jet/v2
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Use the command bellow to add jet as a dependency into go.mod project:
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$ go get -u github.com/go-jet/jet/v2
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Use the bellow command to add jet as a dependency into GOPATH project:
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$ go get -u github.com/go-jet/jet
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Jet generator can be installed in one of the following ways:
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Install jet generator to GOPATH bin folder. This will allow generating jet files from the command line.
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cd $GOPATH/src/ && GO111MODULE=off go get -u github.com/go-jet/jet/cmd/jet
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1) (Go1.16+) Install jet generator using go install:
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go install github.com/go-jet/jet/v2/cmd/jet@latest
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2) Install jet generator to GOPATH/bin folder:
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cd $GOPATH/src/ && GO111MODULE=off go get -u github.com/go-jet/jet/cmd/jet
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3) Install jet generator into specific folder:
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git clone https://github.com/go-jet/jet.git
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cd jet && go build -o dir_path ./cmd/jet
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Make sure that the destination folder is added to the PATH environment variable.
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Make sure GOPATH bin folder is added to the PATH environment variable.
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Usage
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Jet requires already defined database schema(with tables, enums etc), so that jet generator can generate SQL Builder
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and Model files. File generation is very fast, and can be added as every pre-build step.
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Sample command:
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jet -source=PostgreSQL -host=localhost -port=5432 -user=jet -password=pass -dbname=jetdb -schema=dvds -path=./gen
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jet -dsn=postgresql://user:pass@localhost:5432/jetdb -schema=dvds -path=./.gen
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Then next step is to import generated SQL Builder and Model files and write SQL queries in Go:
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Before we can write SQL queries in Go, we need to import generated SQL builder and model types:
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import . "some_path/.gen/jetdb/dvds/table"
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import "some_path/.gen/jetdb/dvds/model"
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To write SQL queries for PostgreSQL import:
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. "github.com/go-jet/jet/v2/postgres"
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To write postgres SQL queries we import:
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. "github.com/go-jet/jet/v2/postgres" // Dot import is used so that Go code resemble as much as native SQL. It is not mandatory.
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To write SQL queries for MySQL and MariaDB import:
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. "github.com/go-jet/jet/v2/mysql"
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*Dot import is used so that Go code resemble as much as native SQL. Dot import is not mandatory.
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Write SQL:
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Then we can write the SQL query:
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// sub-query
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rRatingFilms := SELECT(
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Film.FilmID,
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Film.Title,
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Film.Rating,
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).
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FROM(Film).
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WHERE(Film.Rating.EQ(enum.FilmRating.R)).
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AsTable("rFilms")
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rRatingFilms :=
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SELECT(
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Film.FilmID,
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Film.Title,
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Film.Rating,
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).FROM(
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Film,
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).WHERE(
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Film.Rating.EQ(enum.FilmRating.R),
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).AsTable("rFilms")
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// export column from sub-query
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rFilmID := Film.FilmID.From(rRatingFilms)
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// main-query
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query := SELECT(
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stmt :=
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SELECT(
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Actor.AllColumns,
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FilmActor.AllColumns,
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rRatingFilms.AllColumns(),
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).
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FROM(
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).FROM(
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rRatingFilms.
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INNER_JOIN(FilmActor, FilmActor.FilmID.EQ(rFilmID)).
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INNER_JOIN(Actor, Actor.ActorID.EQ(FilmActor.ActorID)
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).
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ORDER_BY(rFilmID, Actor.ActorID)
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INNER_JOIN(FilmActor, FilmActor.FilmID.EQ(rFilmID)).
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INNER_JOIN(Actor, Actor.ActorID.EQ(FilmActor.ActorID)
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).ORDER_BY(
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rFilmID,
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Actor.ActorID,
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)
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Store result into desired destination:
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Now we can run the statement and store the result into desired destination:
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var dest []struct {
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model.Film
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Actors []model.Actor
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}
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err := query.Query(db, &dest)
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err := stmt.Query(db, &dest)
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Detail info about all features and use cases can be
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We can print a statement to see SQL query and arguments sent to postgres server:
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fmt.Println(stmt.Sql())
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Output:
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SELECT "rFilms"."film.film_id" AS "film.film_id",
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"rFilms"."film.title" AS "film.title",
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"rFilms"."film.rating" AS "film.rating",
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actor.actor_id AS "actor.actor_id",
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actor.first_name AS "actor.first_name",
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actor.last_name AS "actor.last_name",
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actor.last_update AS "actor.last_update",
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film_actor.actor_id AS "film_actor.actor_id",
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film_actor.film_id AS "film_actor.film_id",
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film_actor.last_update AS "film_actor.last_update"
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FROM (
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SELECT film.film_id AS "film.film_id",
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film.title AS "film.title",
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film.rating AS "film.rating"
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FROM dvds.film
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WHERE film.rating = 'R'
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) AS "rFilms"
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INNER JOIN dvds.film_actor ON (film_actor.film_id = "rFilms"."film.film_id")
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INNER JOIN dvds.actor ON (film_actor.actor_id = actor.actor_id)
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WHERE "rFilms"."film.film_id" < $1
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ORDER BY "rFilms"."film.film_id" ASC, actor.actor_id ASC;
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[50]
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If we print destination as json, we'll get:
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[
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{
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"FilmID": 8,
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"Title": "Airport Pollock",
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"Rating": "R",
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"Actors": [
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{
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"ActorID": 55,
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"FirstName": "Fay",
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"LastName": "Kilmer",
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"LastUpdate": "2013-05-26T14:47:57.62Z"
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},
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{
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"ActorID": 96,
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"FirstName": "Gene",
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"LastName": "Willis",
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"LastUpdate": "2013-05-26T14:47:57.62Z"
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},
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...
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]
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},
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{
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"FilmID": 17,
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"Title": "Alone Trip",
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"Actors": [
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{
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"ActorID": 3,
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"FirstName": "Ed",
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"LastName": "Chase",
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"LastUpdate": "2013-05-26T14:47:57.62Z"
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},
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{
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"ActorID": 12,
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"FirstName": "Karl",
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"LastName": "Berry",
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"LastUpdate": "2013-05-26T14:47:57.62Z"
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},
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...
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...
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]
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Detail info about all statements, features and use cases can be
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found at project wiki page - https://github.com/go-jet/jet/wiki.
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*/
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package jet
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