var total int
	if err := DB.Model(&User{}).Select("name, sum(age)").Where("name = ?", "groupby").Group("name").Row().Scan(&name, &total); err != nil {
		t.Errorf("no error should happen, but got %v", err)
	}

	if name != "groupby" || total != 60 {
		t.Errorf("name should be groupby, but got %v, total should be 60, but got %v", name, total)
	}

		Vars    []interface{}
	}{
		{
			[]clause.Interface{clause.Select{}, clause.From{}, clause.GroupBy{
				Columns: []clause.Column{{Name: "role"}},
				Having:  []clause.Expression{clause.Eq{"role", "admin"}},
			}},
			"SELECT * FROM `users` GROUP BY `role` HAVING `role` = ?",
			[]interface{}{"admin"},
		},
		{
			[]clause.Interface{clause.Select{}, clause.From{}, clause.GroupBy{
				Columns: []clause.Column{{Name: "role"}},

	result := dryDB.Table("users").Select("name").Count(&count)
	if !regexp.MustCompile(`SELECT COUNT\(.name.\) FROM .*users.*`).MatchString(result.Statement.SQL.String()) {
		t.Fatalf("Build count with select, but got %v", result.Statement.SQL.String())
	}

	result = dryDB.Table("users").Distinct("name").Count(&count)

# 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.

{
    "Version": "2012-10-17",
    "Statement": [
    {
        "Action": [
            "admin:SetBucketTarget",
            "admin:GetBucketTarget"
        ],
        "Effect": "Allow",
        "Sid": ""
     }, 
     {
      "Effect": "Allow",
      "Action": [
       "s3:GetReplicationConfiguration",
       "s3:PutReplicationConfiguration",
       "s3:ListBucket",
       "s3:ListBucketMultipartUploads",

    *   Add Conv3DTranspose as a builtin op.
*   `tf.summary`:
    *   Fix `tf.summary.should_record_summaries()` so it correctly reflects when
        summaries will be written, even when `tf.summary.record_if()` is not n
        effect, by returning True tensor if default writer is present.
*   Grappler:
    *   Disable default Grappler optimization timeout to make the optimization

iam-assets/policies.json {"consoleAdmin":{"Version":"2012-10-17","Statement":[{"Effect":"Allow","Action":["admin:*"]},{"Effect":"Allow","Action":["kms:*"]},{"Effect":"Allow","Action":["s3:*"],"Resource":["arn:aws:s3:::*"]}]},diagnostics":{"Version":"2012-10-17","Statement":[{"Effect":"Allow","Action":["admin:TopLocksInfo","admin:BandwidthMonitor","admin:ConsoleLog","admin:OBDInfo","admin:Profiling","admin:Prometheus","admin:ServerInfo","admin:ServerTrace"],"Resource":["arn:aws:s3:::*"]}]},rea...

func TestFrom(t *testing.T) {
	results := []struct {
		Clauses []clause.Interface
		Result  string
		Vars    []interface{}
	}{
		{
			[]clause.Interface{clause.Select{}, clause.From{}},
			"SELECT * FROM `users`", nil,
		},
		{
			[]clause.Interface{
				clause.Select{}, clause.From{
					Tables: []clause.Table{{Name: "users"}},
					Joins: []clause.Join{
						{
							Type:  clause.InnerJoin,

   *
   * <p>The entry set is backed by the same data as the multiset, so any change to either is
   * immediately reflected in the other. However, multiset changes may or may not be reflected in
   * any {@code Entry} instances already retrieved from the entry set (this is
   * implementation-dependent). Furthermore, implementations are not required to support

	return err
}

// DeadlineWriter deadline writer with timeout
type DeadlineWriter struct {
	io.WriteCloser
	timeout time.Duration
	err     error
}

// NewDeadlineWriter wraps a writer to make it respect given deadline
// value per Write(). If there is a blocking write, the returned Writer
// will return whenever the timer hits (the return values are n=0
// and err=context.DeadlineExceeded.)