err = db.Table("objects").Take(&Object2{}).Error
	if err != nil {
		t.Errorf("take err:%v", err)
	}

	// AlterColumn
	err = db.Table("objects").AutoMigrate(&Object3{})
	if err != nil {
		t.Errorf("AutoMigrate err:%v", err)
	}

	err = db.Table("objects").Take(&Object3{}).Error
	if err != nil {
		t.Errorf("take err:%v", err)
	}

	// AddColumn

          }
        }
      }
      table = newTable;
      this.count = newCount;
    }

    boolean replace(K key, int hash, V oldValue, V newValue) {
      lock();
      try {
        preWriteCleanup();

        AtomicReferenceArray<E> table = this.table;
        int index = hash & (table.length() - 1);
        E first = table.get(index);

          }
        }
      }
      table = newTable;
      this.count = newCount;
    }

    boolean replace(K key, int hash, V oldValue, V newValue) {
      lock();
      try {
        preWriteCleanup();

        AtomicReferenceArray<E> table = this.table;
        int index = hash & (table.length() - 1);
        E first = table.get(index);

</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 -->

   * table is internally partitioned to try to permit the indicated number of concurrent updates
   * without contention. Because assignment of entries to these partitions is not necessarily
   * uniform, the actual concurrency observed may vary. Ideally, you should choose a value to
   * accommodate as many threads as will ever concurrently modify the table. Using a significantly

	AssertEqual(t, q2, qs[1])
}

func TestQueryError(t *testing.T) {
	type P struct{}
	var p1 P
	err := DB.Take(&p1, 1).Error
	AssertEqual(t, err, gorm.ErrModelAccessibleFieldsRequired)

	var p2 interface{}

	err = DB.Table("ps").Clauses(clause.Eq{Column: clause.Column{
		Table: clause.CurrentTable, Name: clause.PrimaryKey,
	}, Value: 1}).Scan(&p2).Error
	AssertEqual(t, err, gorm.ErrModelValueRequired)

```
KEY:
notify_postgres[:name]  publish bucket notifications to Postgres databases

ARGS:
connection_string*   (string)             Postgres server connection-string e.g. "host=localhost port=5432 dbname=minio_events user=postgres password=password sslmode=disable"
table*               (string)             DB table name to store/update events, table is auto-created

  CharMatcher precomputedInternal() {
    final BitSet table = new BitSet();
    setBits(table);
    int totalCharacters = table.cardinality();
    if (totalCharacters * 2 <= DISTINCT_CHARS) {
      return precomputedPositive(totalCharacters, table, toString());
    } else {
      // TODO(lowasser): is it worth it to worry about the last character of large matchers?
      table.flip(Character.MIN_VALUE, Character.MAX_VALUE + 1);

   * table is internally partitioned to try to permit the indicated number of concurrent updates
   * without contention. Because assignment of entries to these partitions is not necessarily
   * uniform, the actual concurrency observed may vary. Ideally, you should choose a value to
   * accommodate as many threads as will ever concurrently modify the table. Using a significantly

      Table<R, C, V> table(Table<R, C, V> table, @CheckForNull Object mutex) {
    return new SynchronizedTable<>(table, mutex);
  }

  static final class SynchronizedTable<
          R extends @Nullable Object, C extends @Nullable Object, V extends @Nullable Object>
      extends SynchronizedObject implements Table<R, C, V> {

    SynchronizedTable(Table<R, C, V> delegate, @CheckForNull Object mutex) {