v2.5.0

What's Changed

• Added support for custom columns names mapper functions by @mzahradnicek in #70

New Contributors

• @mzahradnicek made their first contribution in #70

Full Changelog: v2.4.0...v2.5.0

v2.4.0

What's Changed

• fix: Columns and Values should recognize Slice values too by @max-stytch in #68

Full Changelog: v2.3.0...v2.4.0

v2.3.0

What's Changed

• Bump golang.org/x/text from 0.9.0 to 0.12.0 by @dependabot in #64
• Bump github.com/proullon/ramsql from 0.0.0-20181213202341-817cee58a244 to 0.0.1 by @dependabot in #58
• fix: Columns and Values should recognize pointer values too by @taronish-stytch in #67

Full Changelog: v2.2.1...v2.3.0

v2.2.1

What's Changed

• fix: Allow valid sql types to be used by Columns and Values by @taronish-stytch in #63

New Contributors

• @taronish-stytch made their first contribution in #63

Full Changelog: v2.2.0...v2.2.1

v2.2.0

What's Changed

• fix: Use model.Type() as cache key instead of model itself by @max-stytch in #62

New Contributors

• @max-stytch made their first contribution in #62

Full Changelog: v2.1.0...v2.2.0

v2.1.0 nested structs for columns and values

What's Changed

• Implement nested structs for columns and values by @ricci2511 in #60
• Bump golang.org/x/text from 0.7.0 to 0.8.0 by @dependabot in #51
• Bump golang.org/x/text from 0.8.0 to 0.9.0 by @dependabot in #53

New Contributors

• @ricci2511 made their first contribution in #60

Full Changelog: v2.0.1...v2.1.0

v2.0.1

Fixed an issue where AutoClose didn't close early enough and could have caused a leak

Nested Struct Scanning

This release adds the ability to scan to a nested struct.

rows, err := db.Query(`
	SELECT person.id,person.name,company.name FROM person
	JOIN company on company.id = person.company_id
	LIMIT 1
`)

var person struct {
	ID      int    `db:"person.id"`
	Name    string `db:"person.name"`
	Company struct {
		Name string `db:"company.name"`
	}
}

err = scan.RowStrict(&person, rows)

err = json.NewEncoder(os.Stdout).Encode(&person)
// Output:
// {"ID":1,"Name":"brett","Company":{"Name":"costco"}}