### Wait for Cluster Creation with Custom Timeout

Source: https://github.com/databricks/databricks-sdk-java/blob/main/README.md

This example demonstrates creating a cluster and waiting for it to reach the RUNNING state. It specifies a custom timeout of 10 minutes for the operation. If the cluster is not running within this period, a timeout error will occur.

```java
CreateCluster request = new CreateCluster()
   .setClusterName("test-cluster")
   .setSparkVersion("13.0.x-scala2.12")
   .setNodeTypeId("i3.xlarge")
   .setAutoterminationMinutes(10L)
   .setNumWorkers(1L);
ClusterInfo cluster = workspace.clusters().create(request).get(Duration.ofMinutes(10));
```

--------------------------------

### Example Databricks SDK Log Output

Source: https://github.com/databricks/databricks-sdk-java/blob/main/README.md

Illustrates typical debug log output from the Databricks SDK for Java, showing a GET request and a truncated JSON response. Sensitive data like tokens are automatically redacted.

```text
2023-03-22 21:19:21,702 [databricks.sdk][DEBUG] GET /api/2.1/clusters/list
< 200 OK
< {
<   "clusters": [
<     {
<       "autotermination_minutes": 60,
<       "cluster_id": "1109-115255-s1w13zjj",
<       "cluster_name": "DEFAULT Test Cluster",
<       ... truncated for brevity
<     },
<     "... (47 additional elements)"
<   ]
< }
```

--------------------------------

### Create New Feature Branch

Source: https://github.com/databricks/databricks-sdk-java/blob/main/CONTRIBUTING.md

Create a new branch for your work before starting development.

```bash
git checkout -b new-branch-name
```

--------------------------------

### Instantiate AccountClient and List Workspaces

Source: https://github.com/databricks/databricks-sdk-java/blob/main/README.md

Instantiate the `AccountClient` to access account-level APIs and list all associated workspaces. Requires `WorkspaceClient`, `AccountClient`, `DatabricksConfig`, `ClusterInfo`, and `ListClustersRequest` imports.

```java
import com.databricks.sdk.WorkspaceClient;
import com.databricks.sdk.AccountClient;
import com.databricks.sdk.core.DatabricksConfig;
import com.databricks.sdk.service.compute.ClusterInfo;
import com.databricks.sdk.service.compute.ListClustersRequest;

public class App {
   public static void main(String[] args) {
      AccountClient account = new AccountClient();
      for (Workspace w : account.workspaces().list()) {
         System.out.println(w.getWorkspaceName());
      }
   }
}
```

--------------------------------

### Configure Workspace and Account Clients in Java

Source: https://github.com/databricks/databricks-sdk-java/blob/main/README.md

Instantiate WorkspaceClient and AccountClient using a Databricks profile. Both clients will share the same host and profile configuration. A WorkspaceClient for a different workspace can be created by specifying an additional workspace ID.

```java
import com.databricks.sdk.AccountClient;
import com.databricks.sdk.WorkspaceClient;
import com.databricks.sdk.core.DatabricksConfig;
...
// Both clients share the same host and profile
WorkspaceClient workspace = new WorkspaceClient(new DatabricksConfig().setProfile("unified"));
AccountClient account = new AccountClient(new DatabricksConfig().setProfile("unified"));

// A WorkspaceClient for a different workspace under the same host and account
WorkspaceClient otherWorkspace = new WorkspaceClient(
    new DatabricksConfig().setProfile("unified").setWorkspaceId("2345678901"));
```

--------------------------------

### Apply Spotless Code Formatting

Source: https://github.com/databricks/databricks-sdk-java/blob/main/CONTRIBUTING.md

Run the Spotless code formatting plugin to ensure code style consistency. This can be done via IntelliJ or the command line.

```bash
mvn spotless:apply
```

--------------------------------

### Instantiate WorkspaceClient and List Clusters

Source: https://github.com/databricks/databricks-sdk-java/blob/main/README.md

Instantiate the `WorkspaceClient` to interact with a Databricks workspace and list all available clusters. Requires `WorkspaceClient`, `AccountClient`, `DatabricksConfig`, `ClusterInfo`, and `ListClustersRequest` imports.

```java
import com.databricks.sdk.WorkspaceClient;
import com.databricks.sdk.AccountClient;
import com.databricks.sdk.core.DatabricksConfig;
import com.databricks.sdk.service.compute.ClusterInfo;
import com.databricks.sdk.service.compute.ListClustersRequest;

public class App {
   public static void main(String[] args) {
      WorkspaceClient workspace = new WorkspaceClient();
      for (ClusterInfo c : workspace.clusters().list(new ListClustersRequest())) {
         System.out.println(c.getClusterName());
      }
   }
}
```

--------------------------------

### Import Shaded Databricks SDK for Java Classes

Source: https://github.com/databricks/databricks-sdk-java/blob/main/README.md

Demonstrates how to import classes from a shaded JAR of the Databricks SDK for Java. Prepend 'shaded.' to all imports when using the shaded JAR.

```java
import shaded.com.databricks.sdk.WorkspaceClient;
import shaded.com.databricks.sdk.AccountClient;
import shaded.com.databricks.sdk.core.DatabricksConfig;
import shaded.com.databricks.sdk.service.compute.ClusterInfo;
import shaded.com.databricks.sdk.service.compute.ListClustersRequest;
```

--------------------------------

### Stage and Commit Changes

Source: https://github.com/databricks/databricks-sdk-java/blob/main/CONTRIBUTING.md

Stage all changes and commit them with a descriptive message, including a sign-off.

```bash
git add -A

git commit -s -m "commit message here"
```

--------------------------------

### Handle Cluster Not Found Error in Java

Source: https://github.com/databricks/databricks-sdk-java/blob/main/README.md

Demonstrates how to catch a `ResourceDoesNotExist` exception when attempting to retrieve a cluster that does not exist. Ensure the `com.databricks.sdk.WorkspaceClient` is initialized.

```java
import com.databricks.sdk.WorkspaceClient;
import com.databricks.sdk.core.errors.platform.ResourceDoesNotExist;
import com.databricks.sdk.service.compute.ClusterDetails;

public class ErrorDemo {
    public static void main(String[] args) {
        WorkspaceClient w = new WorkspaceClient();
        try {
            ClusterDetails c = w.clusters().get("1234-5678-9012");
        } catch (ResourceDoesNotExist e) {
          System.out.println("Cluster not found: " + e.getMessage());
        }
    }
}
```

--------------------------------

### Default Authentication Flow

Source: https://github.com/databricks/databricks-sdk-java/blob/main/README.md

Instantiate `WorkspaceClient` without arguments to use the default authentication flow, which relies on Databricks configuration profiles or environment variables.

```java
import com.databricks.sdk.WorkspaceClient;
...
WorkspaceClient workspace = new WorkspaceClient();
workspace. // press <TAB> for autocompletion
```

--------------------------------

### Iterate Over Paginated Job Runs in Java

Source: https://github.com/databricks/databricks-sdk-java/blob/main/README.md

This snippet demonstrates how to iterate through all jobs and their runs, collecting job details, run durations, and the latest run state. It utilizes the Paginator abstraction to lazily load data. Ensure WorkspaceClient is initialized.

```java
Map<Long, BaseJob> allJobs = new HashMap<>();
Map<Long, List<Long>> durations = new HashMap<>();
Map<Long, BaseRun> latestState = new HashMap<>();

WorkspaceClient workspace = new WorkspaceClient();
for (BaseJob job : workspace.jobs().list(new ListJobsRequest())) {
   allJobs.put(job.getJobId(), job);
   for (BaseRun run : workspace.jobs().listRuns(new ListRunsRequest().setJobId(job.getJobId()).setExpandTasks(false))) {
      durations.computeIfAbsent(job.getJobId(), k -> new ArrayList<>()).add(run.getRunDuration());
      if (!latestState.containsKey(job.getJobId())) {
         latestState.put(job.getJobId(), run);
         continue;
      }
      if (run.getEndTime() < latestState.get(job.getJobId()).getEndTime()) {
         continue;
      }
      latestState.put(job.getJobId(), run);
   }
}

// JobSummary is a custom POJO.
List<JobSummary> summary = new ArrayList<>();
for (Map.Entry<Long, BaseRun> entry : latestState.entrySet()) {
   Long jobId = entry.getKey();
   BaseRun run = entry.getValue();
   BaseJob job = allJobs.get(jobId);
   List<Long> jobDurations = durations.get(jobId);

   JobSummary jobSummary = new JobSummary(
           job.getSettings().getName(),
           run.getState().getResultState(),
           ZonedDateTime.ofInstant(Instant.ofEpochMilli(run.getEndTime()), ZoneId.of("UTC")),
           jobDurations.stream().mapToLong(Long::longValue).average().orElse(0)
   );
   summary.add(jobSummary);
}

summary.stream()
   .sorted(Comparator.comparing(JobSummary::getLastFinished).reversed())
   .forEach(jobSummary -> LOGGER.info("Latest: {}", jobSummary));
```

--------------------------------

### Build Shaded JAR for Databricks SDK for Java

Source: https://github.com/databricks/databricks-sdk-java/blob/main/README.md

Builds a shaded JAR of the Databricks SDK for Java. This is useful to avoid version conflicts when using the SDK on Databricks Runtime.

```shell
cd shaded
mvn package
ls -l target
# The target directory includes a file "shaded-databricks-sdk-X.Y.Z.jar".
```

--------------------------------

### Configure Google Service Account Authentication in Java

Source: https://github.com/databricks/databricks-sdk-java/blob/main/README.md

Configure the Databricks SDK for Java to authenticate using a Google Cloud Platform service account. This is useful when running applications on GCP infrastructure or when needing to impersonate a specific service account.

```java
import com.databricks.sdk.WorkspaceClient;
import com.databricks.sdk.core.DatabricksConfig;
...
        DatabricksConfig config=new DatabricksConfig()
        .setAuthType("google-credentials")
        .setHost("https://my-databricks-instance.com")
        .setGoogleServiceAccgount("google-service-account");
        WorkspaceClient workspace=new WorkspaceClient(config);
```

--------------------------------

### Clone Databricks Java SDK Repository

Source: https://github.com/databricks/databricks-sdk-java/blob/main/CONTRIBUTING.md

Clone the Databricks Java SDK repository to your local system after forking it.

```bash
git clone git@github.com:YOUR_USER_NAME/databricks-sdk-java.git
```

--------------------------------

### Configure Databricks Token Authentication in Java

Source: https://github.com/databricks/databricks-sdk-java/blob/main/README.md

Use this snippet to configure the Databricks SDK for Java to use Databricks token authentication. Ensure you provide the correct host URL and your personal access token.

```java
import com.databricks.sdk.WorkspaceClient;
import com.databricks.sdk.core.DatabricksConfig;
...
        DatabricksConfig config=new DatabricksConfig()
        .setAuthType("pat")
        .setHost("https://my-databricks-instance.com")
        .setToken("my-token");
        WorkspaceClient workspace=new WorkspaceClient(config);
```

--------------------------------

### Add Databricks SDK for Java Dependency

Source: https://github.com/databricks/databricks-sdk-java/blob/main/README.md

Include this dependency in your `pom.xml` to add the Databricks SDK for Java to your project.

```xml
<dependency>
  <groupId>com.databricks</groupId>
  <artifactId>databricks-sdk-java</artifactId>
  <version>0.0.1</version>
</dependency>
```

--------------------------------

### Enable Debug HTTP Headers

Source: https://github.com/databricks/databricks-sdk-java/blob/main/README.md

Enable this option to log HTTP headers for debugging purposes. Be cautious as headers may contain sensitive information like access tokens. The default is false.

```java
import com.databricks.sdk.WorkspaceClient;
import com.databricks.sdk.core.DatabricksConfig;
...
        DatabricksConfig config=new DatabricksConfig()
        .setDebugHeaders(true);
        WorkspaceClient workspace=new WorkspaceClient(config);
```

--------------------------------

### Enable Databricks SDK Debug Logging

Source: https://github.com/databricks/databricks-sdk-java/blob/main/CONTRIBUTING.md

Configure SLF4J logging to enable debug level for the Databricks SDK. Add this line to your log4j.properties file.

```properties
log4j.logger.com.databricks.sdk=DEBUG
```

--------------------------------

### Configure Azure Client Secret Authentication in Java

Source: https://github.com/databricks/databricks-sdk-java/blob/main/README.md

Use this configuration when authenticating to Databricks using an Azure Active Directory service principal with a client secret. Ensure you have the necessary Azure details like tenant ID, client ID, and client secret.

```java
import com.databricks.sdk.WorkspaceClient;
import com.databricks.sdk.core.DatabricksConfig;
...
        DatabricksConfig config=new DatabricksConfig()
        .setAuthType("azure-client-secret")
        .setHost("https://my-databricks-instance.com")
        .setAzureTenantId("tenant-id")
        .setAzureClientId("client-id")
        .setAzureClientSecret("client-secret");
        WorkspaceClient workspace=new WorkspaceClient(config);
```

--------------------------------

### Override .databrickscfg Profile

Source: https://github.com/databricks/databricks-sdk-java/blob/main/README.md

Use this snippet to specify a custom connection profile from your .databrickscfg file instead of the default. Ensure the profile name matches an entry in your configuration file.

```java
import com.databricks.sdk.WorkspaceClient;
import com.databricks.sdk.core.DatabricksConfig;
...
        DatabricksConfig config=new DatabricksConfig()
        .setProfile("MYPROFILE");
        WorkspaceClient workspace=new WorkspaceClient(config);
```

--------------------------------

### Push Changes to Remote Repository

Source: https://github.com/databricks/databricks-sdk-java/blob/main/CONTRIBUTING.md

Push your committed changes to your origin branch on GitHub.

```bash
git push origin branch-name
```

--------------------------------

### Force Azure CLI Authentication in Databricks SDK for Java

Source: https://github.com/databricks/databricks-sdk-java/blob/main/README.md

Use this snippet to force Azure CLI authentication, bypassing other methods. Ensure your Databricks host is correctly configured.

```java
import com.databricks.sdk.WorkspaceClient;
import com.databricks.sdk.core.DatabricksConfig;
...
// Force Azure CLI authentication — skip all other methods
DatabricksConfig config = new DatabricksConfig()
    .setHost("https://mycompany.databricks.com")
    .setAuthType("azure-cli");
WorkspaceClient workspace = new WorkspaceClient(config);
```

--------------------------------

### Automatically Sign Off Commit

Source: https://github.com/databricks/databricks-sdk-java/blob/main/CONTRIBUTING.md

Configure git user name and email to automatically sign off commits using 'git commit -s'.

```git
git commit -s -m "Your commit message"
```

--------------------------------

### Sign Off Commit Message

Source: https://github.com/databricks/databricks-sdk-java/blob/main/CONTRIBUTING.md

Add a 'Signed-off-by' line to your commit message to certify compliance with contribution terms. Use your real name.

```git
Signed-off-by: Joe Smith <joe.smith@email.com>
```

=== COMPLETE CONTENT === This response contains all available snippets from this library. No additional content exists. Do not make further requests.