Brian Achaye
Brian Achaye

Data Scientist

Data Analyst

ODK/Kobo Toolbox Expert

BI Engineer

Data Solutions Consultant

Brian Achaye

Data Scientist

Data Analyst

ODK/Kobo Toolbox Expert

BI Engineer

Data Solutions Consultant

Articles

How to Fix Power BI Refresh Failures: A Step-by-Step Troubleshooting Guide

How to Fix Power BI Refresh Failures: A Step-by-Step Troubleshooting Guide

Few things are more frustrating than a Power BI dataset that won’t refresh. After debugging 200+ refresh failures for clients—from timeout errors to mysterious gateway crashes—I’ve compiled the ultimate checklist to diagnose and fix these issues fast.

Here’s how to solve the 9 most common Power BI refresh failures, with scripts, screenshots, and pro tips.

1. “Login Failed” (Data Source Credentials)

Symptoms:

  • Error: "Failed to update credentials. Login failed for user..."
  • Happens after publishing to Power BI Service.

Fix:

  1. Go to Power BI Service → Dataset → Settings → Data Source Credentials.
  2. Re-enter credentials (even if they look correct).
  3. For cloud databases (BigQuery/Snowflake):
    • Use OAuth2 instead of service accounts where possible.

Pro Tip:

  • Use Power BI Gateway for on-prem data sources (SQL Server, Oracle).

2. “Timeout Expired” (Slow Queries)

Symptoms:

  • Error: "Timeout expired. The timeout period elapsed..."

Fix:

  1. Optimize your query:
    • In Power Query, filter data before loading (e.g., WHERE date > #2023-01-01#).
    • Disable “Load” for unused columns.
  2. Increase timeout:
    • In Power BI Service → Dataset → Settings → Increase query timeout (up to 2 hours).

For DirectQuery:

  • Tune your SQL query (add indexes, avoid SELECT *).

3. Gateway Offline (On-Prem Data)

Symptoms:

  • Error: "Gateway is offline" or "Data gateway isn't responding"

Fix:

  1. Restart the gateway service:powershellCopyRestart-Service -Name “Power BI Gateway*” -Force
  2. Check gateway logs:
    • C:\ProgramData\Microsoft\Power BI Gateway\GatewayLogs.
  3. Update the gateway:

Pro Tip:

  • Install the gateway on a dedicated VM (not your laptop).

4. “Memory Exceeded” (Large Datasets)

Symptoms:

  • Error: "The operation was canceled because there wasn't enough memory..."

Fix:

  1. Reduce data volume:
    • Use incremental refresh (only load new data).powerqueryCopy// In Power Query Editor RangeStart = #datetime(2023, 1, 1, 0, 0, 0), RangeEnd = DateTime.LocalNow()
  2. Upgrade your Power BI capacity:
    • Switch from Shared to Premium/PPU for more memory.

5. “Dynamic Data Source” Error

Symptoms:

  • Error: "Dynamic data sources aren't supported..."

Fix:

  1. Replace dynamic paths with parameters:
    • In Power BI Desktop → Transform Data → Manage Parameters.
  2. For APIs with changing URLs:
    • Use Power Automate to pre-fetch data into OneDrive.

6. “Formula.Firewall” (Privacy Levels)

Symptoms:

  • Error: "Formula.Firewall: Query references other queries..."

Fix:

  1. Set all data sources to “Public” privacy level:
    • File → Options → Privacy → Ignore Privacy Levels.
  2. Or restructure queries to avoid cross-source merges.

7. “Failed to Save Changes” (Permissions)

Symptoms:

  • Error: "Failed to save modifications to the server..."

Fix:

  1. Check workspace roles:
    • You need Admin or Contributor rights.
  2. Ensure storage isn’t full:
    • Power BI Service → Manage storage.

8. “Power Query Merge Errors”

Symptoms:

  • Error: "The key didn't match any rows in the table..."

Fix:

  1. Use Table.Join with JoinKind.LeftOuter to keep all rows:powerqueryCopy= Table.Join(Sales, “customer_id”, Customers, “id”, JoinKind.LeftOuter)
  2. Trim whitespace in keys:powerqueryCopy= Table.TransformColumns(Sales, {{“customer_id”, Text.Trim}})

9. “Scheduled Refresh Disabled”

Symptoms:

  • Refresh works manually but fails on schedule.

Fix:

  1. Check the refresh history:
    • Power BI Service → Dataset → Scheduled Refresh → View Refresh History.
  2. Enable “Refresh” in Gateway Settings:
    • Gateway → Configure → Check the dataset.

Proactive Monitoring

  1. Set up email alerts for failures:
    • Power BI Service → Alerts → Add Alert (for datasets).
  2. Use Power Automate to auto-retry failed refreshes.

Real-World Example: Retail Chain Fix

  • Problem: Daily sales refresh failed 60% of the time (timeouts).
  • Solution:
    1. Added incremental refresh (cut data volume by 70%).
    2. Switched to Premium capacity.
  • Result: 100% refresh success for 6+ months.

Free Resources

Need help with a stubborn refresh error? Drop your error message below!

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