Failure Analysis

This page provides steps to identify and analyze the component failure details.

The Failure Analysis feature allows users to identify and analyze the reasons for component failures within a pipeline workflow. This helps in troubleshooting and resolving issues effectively.

Accessing the Failure Analysis Page

1. Navigate to the Pipeline Workflow Editor page.

2. Click the Failure Analysis icon.

   

Please note:

• Components that fail are indicated by a red flag in the Pipeline Workflow Editor.

• Users can also open the Failure Analysis page by clicking directly on a failed component.

Failure Analysis Page Overview

When the Failure Analysis page opens, the following sections are displayed:

• Component Panel Displays all components associated with the selected pipeline.

• Filter

  • By default, the selected component instance ID is pre-filled in the filter field.

  • Records are displayed based on the instance ID of the selected component.

  • Users can refine the displayed failure data by applying filters.

    

Filter Options by Field Type

• Project

  • By default, pipeline_id and _id are selected from the records.

  • Users may deselect these fields or select additional fields.

  • Each field is assigned a value of:

    • 0 = Exclude field from display

    • 1 = Include field in display

  • Example: data.data_id:0, data.data_desc:1

• Sort

  • Records are displayed in descending order of the _id field by default.

  • Users can switch to ascending order if required.

• Limit

  • By default, only 10 records are displayed.

  • Users can increase the record limit up to a maximum of 1000 records.

• Find

  • Applies the chosen filter, sort, limit, and project settings.

  • Click Find to display the updated records.

• Reset

  • Restores all filter, sort, limit, and project fields to their default values.

The following table displays the filter format by field type:

Field Value Type	Filter Format
String	data.data_desc:” "ignition"
Integer	data.data_id:35
Float	data.lng:95.83467601
Boolean	data.isActive:true

Viewing the Cause of Failure

• Click on any failed data record in the results to view the cause of failure.

• The detailed reason for the failure is displayed for user analysis.

Using the Failure Analysis page, users can quickly investigate failed components, apply filtering logic, and identify root causes for corrective action.