### Consistency Guarantees

MinIO follows strict **read-after-write** and **list-after-write** consistency model for all i/o operations both in distributed and standalone modes. This consistency model is only guaranteed if you use disk filesystems such as xfs, zfs or btrfs etc.. for distributed setup.

    /**
     * Reads up to len bytes of data from this input stream into an array of bytes.
     *
     * @param b the buffer into which the data is read
     * @param off the start offset in the array b at which the data is written
     * @param len the maximum number of bytes to read
     * @return the total number of bytes read into the buffer, or -1 if there is no more data
     * @throws IOException if an I/O error occurs
     */

            int bufferIndex = 0;

            // Write error response structure
            SMBUtil.writeInt2(9, buffer, bufferIndex); // structure size
            buffer[bufferIndex + 2] = 2; // error context count
            SMBUtil.writeInt4(10, buffer, bufferIndex + 4); // byte count

            // Write error data
            for (int i = 0; i < 10; i++) {

	if !strings.Contains(str, "rgs.id = user.id") {
		t.Errorf("The second join condition is over written instead of combining")
	}

	if !strings.Contains(str, "`users`.`company_id` = `companies`.`id`") && !strings.Contains(str, "\"users\".\"company_id\" = \"companies\".\"id\"") {
		t.Errorf("The first join condition is over written instead of combining")
	}
}

func TestToSQL(t *testing.T) {

 * {@snippet :
 * ContiguousSet.create(Range.closed(5, 42), DiscreteDomain.integers())
 * }
 *
 * <p>Note that because bounded ranges over {@code int} and {@code long} values are so common, this
 * particular example can be written as just:
 *
 * {@snippet :
 * ContiguousSet.closed(5, 42)
 * }
 *
 * <p><b>Warning:</b> Be extremely careful what you do with conceptually large instances (such as

        // Check that bytes before startIndex are unchanged
        for (int i = 0; i < startIndex; i++) {
            assertEquals((byte) (i & 0xFF), dst[i]);
        }

        // Check that bytes after written area are unchanged
        for (int i = startIndex + bytesWritten; i < dst.length; i++) {
            assertEquals((byte) (i & 0xFF), dst[i]);
        }
    }

    @Test

    outputFile.bufferedWriter().use { writer ->
        writer.write(fileHeaderFor(packageName, isIncubatingFileClass(targetType, extensions)))
        writer.write("\n")
        extensions.forEach {
            writer.write("\n${it.toKotlinString()}")
        }
    }


/**

distribution.
   * Neither the name of Google Inc. nor the names of its
contributors may be used to endorse or promote products derived from
this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR

    public CharSink createSink() throws IOException {
      File file = createFile();
      if (initialString != null) {
        Writer writer = new OutputStreamWriter(new FileOutputStream(file), UTF_8);
        try {
          writer.write(initialString);
        } finally {
          writer.close();
        }
        return Files.asCharSink(file, UTF_8, FileWriteMode.APPEND);
      }

Preferably, these new classes should be 100% managed and have their implementation generated by Gradle at runtime.

It's acceptable for implementation classes to be written to fit into existing code, but new classes must not instantiate managed properties or implement getters manually.

This is preferred:

```groovy
public interface NewThing {
    Property<String> getSomeProperty()