Error Reference

Flow data pill resolved to null: expected value not available

Flow data pill resolved to null: expected value not available

Where this appears

This error appears in the ServiceNow Flow Designer execution details when a data pill reference returns null during flow runtime. The error is displayed in the flow execution history under Process Automation > Flow Designer > Executions, and may also appear in the Application Log under System Diagnostics > Log > Application Log.

Sourdough
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Overview
Tasks
CMDB
API
Metrics
Monitor
Internals
Instance:sourdoughdev·Version:Yokohama
Instance StateONLINE
System StatusFully Operational
Session Timeout90 minutes
Logged-In Sessions2 (20 active)
Build Nameyokohama-12-18-2024_p1
IP Address10.159.128.43
Instance HealthHealth Score: 90%
🔥 5dSourdough (Chrome Plugin)Dark Mode

Cause

The source record or trigger that initiated the flow does not contain a value in the field being referenced by the data pill. (high likelihood)

A previous action in the flow returned an empty result set or null value, causing downstream data pills to resolve to null. (high likelihood)

The data pill is referencing a field that exists in the table dictionary but is not populated for the specific record being processed. (medium likelihood)

The flow trigger conditions are not properly filtering records, allowing records with missing required field values to initiate the flow. (medium likelihood)

A lookup or query action is using incorrect filter conditions, returning no results when a value was expected. (low likelihood)

Fix

Step 1: Navigate to Process Automation > Flow Designer > Executions and locate the failed flow execution to identify which specific data pill resolved to null.

Step 2: Click on the execution record and review the execution details to see which action step generated the null data pill error.

Step 3: Examine the source record that triggered the flow by checking the trigger record details in the execution log to verify if the referenced field contains a value.

Step 4: If the source field is empty, modify the flow trigger conditions to exclude records where the required field is empty using condition like 'field is not empty'.

Step 5: For null values from previous actions, add condition checks before using the data pill by implementing If conditions that verify the data pill 'is not empty' before proceeding.

Step 6: Consider adding default values or alternative logic paths using Flow Designer's decision logic to handle cases where expected data is not available.

Step 7: Test the modified flow with sample records that both contain and lack the referenced field values to ensure proper handling of null scenarios.

Step 8: Enable flow debugging by setting the system property 'glide.flow.debug' to true temporarily to get more detailed execution information for complex troubleshooting.

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