clauses := []clause.Interface{clause.Select{}, clause.From{}, clause.Where{Exprs: []clause.Expression{clause.Eq{Column: clause.PrimaryColumn, Value: "1"}, clause.Gt{Column: "age", Value: 18}, clause.Or(clause.Neq{Column: "name", Value: "jinzhu"})}}}

		for _, clause := range clauses {
			stmt.AddClause(clause)
		}

		stmt.Build("SELECT", "FROM", "WHERE")
		_ = stmt.SQL.String()
	}
}

            .on('change.daterangepicker', 'select.yearselect', $.proxy(this.monthOrYearChanged, this))
            .on('change.daterangepicker', 'select.monthselect', $.proxy(this.monthOrYearChanged, this))
            .on('change.daterangepicker', 'select.hourselect,select.minuteselect,select.secondselect,select.ampmselect', $.proxy(this.timeChanged, this));

        this.container.find('.ranges')

			"SELECT * FROM `users` WHERE name = ? AND `users`.`deleted_at` IS NULL ORDER BY `users`.`id` LIMIT ?",
			"SELECT * FROM `users` WHERE name = ? AND `users`.`deleted_at` IS NULL ORDER BY `users`.`id` LIMIT ?",
			"INSERT INTO `users` (`created_at`,`updated_at`,`deleted_at`,`name`,`age`,`birthday`,`company_id`,`manager_id`,`active`) VALUES (?,?,?,?,?,?,?,?,?)",

$(function() {
  $('input[type="text"],select,textarea', ".login-box,section.content")
    .first()
    .focus();
  $(".form-group .has-error")
    .first()
    .next("input,select,textarea")
    .focus();

  $("section.content input").keypress(function(e) {
    var $submitButton;
    if (e.which === 13) {
      $submitButton = $("input#submit, button#submit");
      if ($submitButton.length > 0) {
        $submitButton[0].submit();
      }

# Select API Quickstart Guide [![Slack](https://slack.min.io/slack?type=svg)](https://slack.min.io)

Traditional retrieval of objects is always as whole entities, i.e GetObject for a 5 GiB object, will always return 5 GiB of data. S3 Select API allows us to retrieve a subset of data by using simple SQL expressions. By using Select API to retrieve only the data needed by the application, drastic performance improvements can be achieved.

						><la:message key="labels.advance_search_timestamp_pastyear" /></option>
					</select>
				</div>
			</div>
			<div class="mb-3 row">
				<label for="as_filetype" class="col-lg-3 col-md-4 col-sm-5 col-12 col-form-label"><la:message
						key="labels.advance_search_filetype"
					/></label>
				<div class="col-lg-5 col-md-8 col-sm-7 col-6">
					<select id="as_filetype" name="as.filetype" class="form-control">

		t.Fatalf("invalid sql generated, got %v", sql)
	}

	sql = DB.Session(&gorm.Session{DryRun: true}).Table("user u").Select("name").Find(&User{}).Statement.SQL.String()
	if !regexp.MustCompile(`SELECT .name. FROM user u WHERE .u.\..deleted_at. IS NULL`).MatchString(sql) {
		t.Errorf("Table with escape character, got %v", sql)
	}

# CI Pipeline Configuration

## Open & import the project

In your IDEA, `File` - `Open`, select `.teamcity/pom.xml`, `import as project`, and you'll have a Maven project.

## Project structure

Mostly a standard Maven project structure. The entry point `settings.kts` defines the TeamCity project.

There are 3 subprojects in the TeamCity project hierarchy: `Check` for Gradle builds, `Promotion` for releasing Gradle versions, `Util` for miscellaneous utilities.

		Name string
		Age  int
	}

	var res result
	DB.Table("users").Select("id, name, age").Where("id = ?", user3.ID).Scan(&res)
	if res.ID != user3.ID || res.Name != user3.Name || res.Age != int(user3.Age) {
		t.Fatalf("Scan into struct should work, got %#v, should %#v", res, user3)
	}

	var resPointer *result
	if err := DB.Table("users").Select("id, name, age").Where("id = ?", user3.ID).Scan(&resPointer).Error; err != nil {

		t.Fatalf("Joins expected %s, got %+v", u.Name, result)
	}

	// Raw Subquery JOIN + WHERE + Select
	result, err = db.Joins(clause.LeftJoin.AssociationFrom("Company", gorm.G[Company](DB).Select("Name")).As("t"),
		func(db gorm.JoinBuilder, joinTable clause.Table, curTable clause.Table) error {
			if joinTable.Name != "t" {