How do I paginate query results using pgx?

Pagination is a crucial concept for efficiently querying large datasets in applications. In Go, using the pgx library, you can easily paginate query results from a PostgreSQL database. Below is an example of how to implement pagination with pgx.

package main import ( "context" "fmt" "github.com/jackc/pgx/v4" "log" "os" ) func main() { conn, err := pgx.Connect(context.Background(), "postgres://username:password@localhost:5432/mydb") if err != nil { log.Fatal(err) } defer conn.Close(context.Background()) page := 1 // Current page number pageSize := 10 // Number of results per page offset := (page - 1) * pageSize rows, err := conn.Query(context.Background(), "SELECT id, name FROM my_table ORDER BY id LIMIT $1 OFFSET $2", pageSize, offset) if err != nil { log.Fatal(err) } defer rows.Close() for rows.Next() { var id int var name string if err := rows.Scan(&id, &name); err != nil { log.Fatal(err) } fmt.Printf("ID: %d, Name: %s\n", id, name) } if err := rows.Err(); err != nil { log.Fatal(err) } } ` section contains the main content of the article explaining pagination using pgx. - The `
` section lists relevant keywords related to the topic for SEO purposes. - The `
` section provides a brief description of the example for SEO. - The example code is enclosed within the `` tag with proper class attributes for syntax highlighting.

Pagination pgx PostgreSQL Go Database Query Programming ` section lists relevant keywords related to the topic for SEO purposes. - The `` section provides a brief description of the example for SEO. - The example code is enclosed within the `` tag w

Related Questions

How do I avoid rehashing overhead with std::set in multithreaded code?

How do I find elements with custom comparators with std::set for embedded targets?

How do I erase elements while iterating with std::set for embedded targets?

How do I provide stable iteration order with std::unordered_map for large datasets?

How do I reserve capacity ahead of time with std::unordered_map for large datasets?

How do I erase elements while iterating with std::unordered_map in multithreaded code?

How do I provide stable iteration order with std::map for embedded targets?

How do I provide stable iteration order with std::map in multithreaded code?

How do I avoid rehashing overhead with std::map in performance-sensitive code?

How do I merge two containers efficiently with std::map for embedded targets?