Although the hierarchical dependency injection system is very simple to define and use, it's still very powerful.

You can define dependencies that in turn can define dependencies themselves.

In the end, a hierarchical tree of dependencies is built, and the **Dependency Injection** system takes care of solving all these dependencies for you (and their sub-dependencies) and providing (injecting) the results at each step.

    public static final String MAVEN_LOGGER_SHOW_THREAD_NAME = MAVEN_LOGGER_PREFIX + "showThreadName";

    /**
     * Set to true if you want the Logger instance name to be included in output messages. Defaults to true.
     *
     * @since 4.0.0
     */
    @Config(type = "java.lang.Boolean", defaultValue = "true")

  /**
   * Returns a {@link Traverser} instance for the file and directory tree. The returned traverser
   * starts from a {@link File} and will return all files and directories it encounters.
   *
   * <p><b>Warning:</b> {@code File} provides no support for symbolic links, and as such there is no
   * way to ensure that a symbolic link to a directory is not followed when traversing the tree. In

 * E.x when M.N.c is released M.N.c+1 is added to the Version class mentioned above in all the following branches:
 *  `M.N`, `M.x` and `master` so we can reliably assume that the leafs of the version tree are unreleased.
 * This convention is enforced by checking the versions we consider to be unreleased against an
 * authoritative source (maven central).

common:mkl --define=build_with_mkl=true --define=enable_mkl=true
common:mkl --define=tensorflow_mkldnn_contraction_kernel=0
common:mkl --define=build_with_openmp=true
common:mkl -c opt

# config to build OneDNN backend with a user specified threadpool.
common:mkl_threadpool --define=build_with_mkl=true --define=enable_mkl=true
common:mkl_threadpool --define=tensorflow_mkldnn_contraction_kernel=0

([#64706](https://github.com/kubernetes/kubernetes/pull/64706), [@liztio](https://github.com/liztio))

## **3. Configure Hadoop, Spark, Hive to use MinIO**

After successful installation navigate to the Ambari UI `http://<ambari-server>:8080/` and login using the default credentials: [**_username: admin, password: admin_**]

![ambari-login](https://github.com/minio/minio/blob/master/docs/bigdata/images/image3.png?raw=true "ambari login")

### **3.1 Configure Hadoop**

        void testIsDirectory() throws SmbException {
            // Arrange
            doReturn(true).when(smbFile).isDirectory();

            // Act & Assert
            assertTrue(smbFile.isDirectory());
        }

        @Test
        void testIsFile() throws SmbException {
            // Arrange
            doReturn(true).when(smbFile).isFile();

            // Act & Assert
            assertTrue(smbFile.isFile());

     */
    @Size(max = 1000)
    public String ldapAdminSecurityCredentials;

    /**
     * LDAP base DN (Distinguished Name) for user searches.
     * Defines the root of the LDAP directory tree for user lookups.
     */
    @Size(max = 1000)
    public String ldapBaseDn;

    /**
     * LDAP filter for finding user accounts.
     * Defines the search filter used to locate user accounts in LDAP.

            try {
                conn.disconnect(true, true);
            } catch (Exception e) {
                log.debug("Error closing connection: {}", e.getMessage());
            }
        });
        connections.clear();

        nonPooledConnections.forEach(conn -> {
            try {
                conn.disconnect(true, true);
            } catch (Exception e) {