Troubleshooting Databricks Test Failure: Test_dashboard_workspace_installation - Invalid Node Type Error

Jul 9, 2025 by gitftunila 105 views

Test Failure: `test_dashboard_workspace_installation` - Node Type Issue in Databricks

This article delves into a specific test failure encountered within the databrickslabs/dqx project: test_dashboard_workspace_installation. The failure, categorized under databrickslabs and dqx, stems from an InvalidParameterValue error related to unsupported node types in Databricks. This comprehensive analysis will break down the error, its context, and potential solutions, ensuring a thorough understanding of the issue and how to address it.

Understanding the `test_dashboard_workspace_installation` Failure

At the heart of this issue lies a node type incompatibility. The error message Node type Standard_D4ads_v6 is not supported clearly indicates that the specified node type is not recognized within the Databricks environment used for testing. To fully grasp the implications, let's dissect the error and its surrounding context. This test failure, test_dashboard_workspace_installation, is crucial for ensuring the smooth deployment and functionality of DQX (Data Quality eXplorer) dashboards within Databricks workspaces. When this test fails, it signals potential problems with the installation process, particularly concerning the compatibility of the chosen compute resources with the DQX tool. The error message provides a detailed list of supported node types, offering a clear benchmark against which the attempted node type (Standard_D4ads_v6) can be compared. This list is extensive, encompassing a wide array of Standard_ and other node families, each tailored to different computational needs and workloads. The failure occurs during the workflows_installer.py script execution, specifically within the create_jobs function. This function is responsible for setting up the Databricks jobs necessary for DQX to operate, including profiling tasks and other data quality checks. The error trace pinpoints the issue to the _deploy_workflow function, where a new job is created using the Databricks SDK's jobs.create method. This indicates that the problem arises when DQX attempts to provision a Databricks cluster with the unsupported Standard_D4ads_v6 node type. The root cause, therefore, is a mismatch between the node type configured for DQX's Databricks jobs and the node types supported by the Databricks environment. This mismatch could stem from various sources, such as an outdated DQX configuration, incorrect environment settings, or a temporary limitation in the Databricks workspace. Addressing this failure requires a meticulous review of the DQX installation process, the Databricks environment configuration, and the compatibility matrix of node types and DQX features. By resolving this node type incompatibility, the test_dashboard_workspace_installation can be successfully executed, ensuring the reliable deployment of DQX dashboards and the effective monitoring of data quality within Databricks.

Detailed Error Analysis

Let's dive deeper into the error message: databricks.sdk.errors.platform.InvalidParameterValue: Node type Standard_D4ads_v6 is not supported. This error is a clear indication that the Databricks platform does not recognize the Standard_D4ads_v6 node type. This type of error, InvalidParameterValue, suggests that a parameter passed to a Databricks API call is not valid, in this case, the node type specified for a cluster. To understand why this node type is causing issues, we need to consider the context in which it's being used. The error occurs within the databricks.sdk library, which is the official Databricks SDK for Python. This SDK is used to interact with the Databricks platform programmatically, allowing for the automation of tasks such as cluster creation, job submission, and workspace management. The specific error arises during the execution of the create method within the jobs service of the Databricks SDK. This means that the DQX installation process is attempting to create a Databricks job that requires a cluster with the Standard_D4ads_v6 node type. However, the Databricks platform is rejecting this request because the node type is not supported in the current environment or configuration. The error message further provides a comprehensive list of supported node types. This list is extensive and includes a wide range of Standard_ series nodes, as well as other families such as DS, D, E, L, F, H, NC, ND, DC, EC, and NV. Each node type is designed for different workloads and has varying compute, memory, and storage capabilities. The absence of Standard_D4ads_v6 from this list is the key to understanding the failure. It suggests that either the Standard_D4ads_v6 node type is not available in the Databricks region being used, or it is not compatible with the specific Databricks runtime version or configuration. Another possibility is that the node type has been deprecated or replaced by a newer generation of nodes. To resolve this issue, it's crucial to identify the correct node type for the DQX installation and update the configuration accordingly. This might involve consulting the DQX documentation, reviewing the Databricks environment settings, or testing with different supported node types to find a suitable alternative. By addressing this node type incompatibility, the test_dashboard_workspace_installation can be successfully executed, ensuring the proper functioning of DQX dashboards within the Databricks workspace.

Examining the Stack Trace

The stack trace provides valuable clues about the origin and propagation of the error. By carefully analyzing the traceback, we can pinpoint the exact line of code that triggered the exception and understand the sequence of function calls that led to it. The traceback begins within the databricks.labs.blueprint.parallel module, specifically in the inner function. This suggests that the DQX installation process utilizes a parallel execution framework to deploy components concurrently. The inner function likely wraps the actual installation logic and handles any exceptions that might arise during the process. The next frame in the traceback leads us to the workflows_installer.py script, within the create_jobs function. This function is responsible for creating the Databricks jobs required for DQX to function correctly. These jobs might include tasks such as data profiling, quality checks, and dashboard updates. The error then propagates to the _deploy_workflow function, which is likely responsible for deploying a specific workflow or job to the Databricks workspace. This function uses the Databricks SDK to interact with the Databricks Jobs API. The key line in the traceback is new_job = self._ws.jobs.create(**settings). This is where the Databricks SDK's jobs.create method is called, and the InvalidParameterValue exception is raised. The settings variable likely contains the configuration parameters for the job, including the node type. The subsequent frames in the traceback delve into the internal workings of the Databricks SDK, showing the API call being made and the error response being received from the Databricks platform. The error message databricks.sdk.errors.platform.InvalidParameterValue is raised within the SDK's error handling mechanism. By tracing the stack, we can confirm that the error originates from the Databricks platform itself, indicating that the requested node type is indeed invalid. The traceback also highlights the role of the workflows_installer.py script and the create_jobs function in triggering the error. This suggests that the issue lies in the configuration of the Databricks jobs being created by DQX. To fix the error, we need to examine the settings variable passed to the jobs.create method and identify why it contains the unsupported Standard_D4ads_v6 node type. This might involve reviewing the DQX configuration files, the environment variables, or the logic that generates the job settings. By understanding the stack trace, we can effectively narrow down the scope of the problem and focus our debugging efforts on the relevant parts of the DQX installation process.

DQX Installation and Dashboard Creation

The log output provides a step-by-step account of the DQX installation process, shedding light on where the failure occurs. Let's break down the key stages and pinpoint the critical moments. The installation begins with informational messages indicating the start of the DQX installation process, specifying the version (v0.6.1+520250708041606) and prompting for configuration inputs related to the TEST_SCHEMA DQX run. This suggests that the installation is being performed in a test environment. The next stage involves the creation of dashboards. The logs indicate that DQX is reading dashboard assets from a specific directory (/home/runner/work/dqx/dqx/src/databricks/labs/dqx/queries/quality/dashboard) and using an output table (main.dqx_test.output_table) as the data source. This highlights the DQX's ability to generate dashboards for data quality monitoring. Several warnings are then logged, related to parsing issues in the dashboard configuration (dashboard.yml). These warnings indicate potential problems with the dashboard definition, such as missing expressions or unsupported fields (tiles.00_2_dq_error_types.hidden). While these warnings might not directly cause the installation failure, they suggest areas for improvement in the dashboard configuration. The logs then show that the DQX_Quality_Dashboard dashboard is being installed in a specific directory (/Users/3fe685a1-96cc-4fec-8cdb-6944f5c9787e/.wrxE/dashboards). This indicates that the dashboard creation process is proceeding as expected up to this point. The critical moment occurs when DQX attempts to create a new job configuration for the profiler step. This is where the workflows_installer module comes into play, as highlighted in the stack trace. The error message installing components task failed: Node type Standard_D4ads_v6 is not supported clearly marks the point of failure. This confirms that the node type incompatibility is the root cause of the issue. The logs also indicate that the installation process is using a parallel execution framework (databricks.labs.blueprint.parallel), as evidenced by the error message More than half 'installing components' tasks failed. This suggests that multiple components are being installed concurrently, and the failure of one component (due to the node type issue) is causing the overall installation to fail. The logs further show that the DQX installation process attempts to uninstall the failed version before exiting, indicating a cleanup mechanism in place. By analyzing the log output, we can gain a comprehensive understanding of the DQX installation process and pinpoint the exact stage where the error occurs. This information is crucial for debugging and resolving the node type incompatibility issue.

Potential Causes and Solutions

Several factors could contribute to the InvalidParameterValue error, and addressing it requires a systematic approach. Let's explore the most likely causes and their corresponding solutions. Cause 1: Unsupported Node Type in the Databricks Environment. The most straightforward explanation is that the Standard_D4ads_v6 node type is not available in the Databricks region or version being used. Databricks offers a range of node types, and their availability can vary depending on the region and the Databricks runtime version. Solution: * Verify the Databricks Region and Runtime Version: Check the Databricks workspace configuration to ensure that the region and runtime version support the desired node type. * Consult Databricks Documentation: Refer to the official Databricks documentation for a list of supported node types in each region and runtime version. * Choose a Supported Node Type: Select a node type from the list of supported types provided in the error message. Common alternatives include Standard_DS3_v2, Standard_D4s_v3, or other Standard_ series nodes. Cause 2: Incorrect DQX Configuration. The DQX configuration might be specifying the Standard_D4ads_v6 node type, even if it's not available in the Databricks environment. This could be due to an outdated configuration file or an incorrect default setting. Solution: * Review DQX Configuration Files: Examine the DQX configuration files (e.g., dqx.ini, application.conf) for any settings related to node types or cluster configurations. * Update Node Type Setting: If the Standard_D4ads_v6 node type is explicitly specified, change it to a supported node type. * Use Environment Variables: Consider using environment variables to override the node type setting, allowing for flexibility across different environments. Cause 3: Insufficient Permissions. The user or service principal used to install DQX might lack the necessary permissions to create clusters with the Standard_D4ads_v6 node type. Solution: * Check Databricks Permissions: Verify that the user or service principal has the cluster create permission in the Databricks workspace. * Grant Necessary Permissions: If permissions are missing, grant the appropriate permissions to the user or service principal. Cause 4: Databricks Workspace Limitations. The Databricks workspace might have limitations on the types of nodes that can be used, possibly due to organizational policies or resource constraints. Solution: * Contact Databricks Administrator: Consult with the Databricks administrator to understand any limitations on node types in the workspace. * Request Node Type Support: If the Standard_D4ads_v6 node type is required, request the administrator to enable support for it or suggest an alternative. By systematically investigating these potential causes and applying the corresponding solutions, you can effectively resolve the InvalidParameterValue error and ensure the successful installation of DQX.

Why is test_dashboard_workspace_installation failing?
What does the error Node type Standard_D4ads_v6 is not supported mean?
What are the supported node types for Databricks?
Where in the DQX installation process does the error occur?
What are the potential causes of this error?
How can I resolve the InvalidParameterValue error?

Troubleshooting Databricks Test Failure test_dashboard_workspace_installation - Invalid Node Type Error