writer.WriteByte('(')
		for idx, d := range v {
			if idx > 0 {
				writer.WriteByte(',')
			}
			stmt.QuoteTo(writer, d)
		}
		writer.WriteByte(')')
	case clause.Expr:
		v.Build(stmt)
	case string:
		stmt.DB.Dialector.QuoteTo(writer, v)
	case []string:
		writer.WriteByte('(')
		for idx, d := range v {
			if idx > 0 {
				writer.WriteByte(',')
			}

                                writer.write(hit.getSourceAsString());
                                writer.write("\n");
                            } catch (final IOException e) {
                                throw new IORuntimeException(e);
                            }
                            return true;
                        });
                        writer.flush();
                    }

A stand-alone MinIO server would go down if the server hosting the drives goes offline. In contrast, a distributed MinIO setup with _m_ servers and _n_ drives will have your data safe as long as _m/2_ servers or _m*n_/2 or more drives are online.

For example, an 16-server distributed setup with 200 drives per node would continue serving files, up to 4 servers can be offline in default configuration i.e around 800 drives down MinIO would continue to read and write objects.

    }

    /**
     * Method write.
     *
     * @param writer   a writer object
     * @param metadata a Metadata object
     * @throws java.io.IOException java.io.IOException if any
     */
    public void write(Writer writer, Metadata metadata) throws java.io.IOException {
        try {
            delegate.write(writer, metadata.getDelegate());
        } catch (XMLStreamException e) {

		}
	}
}

// testNonEmptyWriter wraps an io.Writer and ensures that
// Write is never called with an empty buffer.
type testNonEmptyWriter struct{ io.Writer }

func (w testNonEmptyWriter) Write(b []byte) (int, error) {
	if len(b) == 0 {
		return 0, errors.New("unexpected empty Write call")
	}
	return w.Writer.Write(b)
}

func TestFileWriter(t *testing.T) {
	type (

            bytes = bytes,
          )
        }
      }

      override fun toDer(
        writer: DerWriter,
        value: AnyValue,
      ) {
        writer.write("ANY", value.tagClass, value.tag) {
          writer.writeOctetString(value.bytes)
          writer.constructed = value.constructed
        }
      }
    }

  internal fun parseGeneralizedTime(string: String): Long {

drives.  Therefore, the number of drives you present must be a multiple of one of these numbers.  Each object is written to a single erasure-coding set.

Minio uses the largest possible EC set size which divides into the number of drives given. For example, *18 drives* are configured as *2 sets of 9 drives*, and *24 drives* are configured as *2 sets of 12 drives*.  This is true for scenarios when running MinIO as a standalone erasure coded deployment. In [distributed setup however node (affinity)...

    void emptyAcceptedApiChanges(File jsonFile) {
        jsonFile.withWriter { fileWriter ->
            def writer = new JsonWriter(fileWriter)
            writer.setIndent("    ")
            new Gson().toJson([acceptedApiChanges: []], Object, writer)
            writer.close()
        }
    }

    /**
     * Method write.
     *
     * @param writer a writer object.
     * @param model a model object.
     * @throws IOException java.io.IOException if any.
     */
    @Override
    public void write(Writer writer, Model model) throws IOException {
        super.write(writer, model);
    } // -- void write( Writer, Model )

    /**
     * Method write.
     *
     * @param stream a stream object.

  public void setUp() {
    sink = new TestCharSink();
  }

  public void testOpenBufferedStream() throws IOException {
    Writer writer = sink.openBufferedStream();
    assertTrue(sink.wasStreamOpened());
    assertFalse(sink.wasStreamClosed());

    writer.write(STRING);
    writer.close();

    assertTrue(sink.wasStreamClosed());
    assertEquals(STRING, sink.getString());
  }