Result: "`table`.`col` AS `alias`",
	}, {
		SQL:    "?",
		Vars:   []interface{}{clause.Column{Table: "table", Name: "col", Alias: "alias", Raw: true}},
		Result: "table.col AS alias",
	}, {
		SQL:    "?",
		Vars:   []interface{}{clause.Table{Name: "table", Alias: "alias"}},
		Result: "`table` `alias`",
	}, {
		SQL:    "?",

	}
}

// MergeClause merge update clause
func (update Update) MergeClause(clause *Clause) {
	if v, ok := clause.Expression.(Update); ok {
		if update.Modifier == "" {
			update.Modifier = v.Modifier
		}
		if update.Table.Name == "" {
			update.Table = v.Table
		}
	}
	clause.Expression = update

	if joinTable != "public.user_languages" {
		t.Errorf("invalid join table generated, got %v", joinTable)
	}

	joinTable2 := ns.JoinTableName("UserLanguage")
	if joinTable2 != "public.user_language" {
		t.Errorf("invalid join table generated, got %v", joinTable2)
	}

	tableName := ns.TableName("Company")
	if tableName != "public.company" {
		t.Errorf("invalid table name generated, got %v", tableName)
	}

		Result        string
	}{
		{
			SQL:           "create table users (name, age, height, actived, bytes, create_at, update_at, deleted_at, email, role, pass) values (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)",
			NumericRegexp: nil,
			Vars:          []interface{}{"jinzhu", 1, 999.99, true, []byte("12345"), tt, &tt, nil, "w@g.\"com", myrole, pwd},

 * prevention and <i>no</i> expectation of bit dispersion. This leaves them perfectly suitable for
 * use in hash tables, because extra collisions cause only a slight performance hit, while poor bit
 * dispersion is easily corrected using a secondary hash function (which all reasonable hash table
 * implementations in Java use). For the many uses of hash functions beyond data structures,

 * prevention and <i>no</i> expectation of bit dispersion. This leaves them perfectly suitable for
 * use in hash tables, because extra collisions cause only a slight performance hit, while poor bit
 * dispersion is easily corrected using a secondary hash function (which all reasonable hash table
 * implementations in Java use). For the many uses of hash functions beyond data structures,

</tr>
</tbody>
</table> </td>
</tr>
</tbody>
</table> </td>
</tr>
</tbody>
</table> </td>
</tr>
<tr>
<td colspan="2" align="left" height="12" style="height:12px;padding:0;margin:0;line-height:1px;font-size:1px;">&nbsp;</td>
</tr>
<!-- End user identity -->

    }

    private static final long serialVersionUID = 0;
  }

  @Override
  protected Table<String, Integer, Character> create(@Nullable Object... data) {
    TestTable<String, Integer, Character> table = new TestTable<>();
    Table<String, Integer, Character> synced = Synchronized.table(table, table.mutex);
    populate(synced, data);
    return synced;
  }

    assertTrue(table.contains("bar", 1));
    assertTrue(table.contains("foo", 3));
    assertFalse(table.contains("foo", 2));
    assertFalse(table.contains("bar", 3));
    assertFalse(table.contains("cat", 1));
    assertFalse(table.contains("foo", null));
    assertFalse(table.contains(null, 1));
    assertFalse(table.contains(null, null));
  }

  public void testContainsRow() {

         "interval": "5s",
         "options": {
            "legend": {
               "calcs": [
                  "last",
                  "max"
               ],
               "displayMode": "table"
            }
         },
         "pluginVersion": "v11.0.0",
         "targets": [
            {
               "datasource": {
                  "type": "prometheus",
                  "uid": "$datasource"