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SSIS Error 469: How to Fix 0xC0209071 PrimeOutput Failed – Complete 2025 Guide

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SSIS Error 469: How to Fix 0xC0209071 PrimeOutput Failed – Complete 2025 Guide

If you work with SQL Server Integration Services (SSIS), encountering SSIS Error 469 can be frustrating. This error stops your ETL (Extract, Transform, Load) process and leaves you wondering: “What went wrong?”

Good news: SSIS 469 is not a mysterious bug. Once you understand it, it’s actually easy to fix — often in under 15 minutes. This guide will cover everything: meaning, causes, step-by-step troubleshooting, real-life examples, prevention tips, and instructions for handling Script Tasks safely.

What Is SSIS Error 469? (Simple Explanation)

When your package fails and you see a message like:

Error: 0xC0209071
The PrimeOutput method on "Flat File Source" returned error code 0xC0209071 (469).
The component returned a failure code when the pipeline engine called PrimeOutput().

It can look scary. But here’s the truth:

SSIS 469 simply means:

“Something went wrong inside the Data Flow Task while processing rows, so the pipeline stopped.”

Think of it like your car’s check-engine light. It doesn’t mean the car is broken — it just signals something needs attention.

Key points to remember about SSIS 469:

  • Appears only in Data Flow Tasks (never in Control Flow).

  • Error code 0xC0209071 is just the hexadecimal version of 469.

  • The technical name is DTS_E_PRIMEOUTPUTFAILED.

Once you know the exact steps, 99% of SSIS 469 errors are fixed in under 15 minutes.

Quick Reference Table: SSIS 469 Meaning

Term Meaning
469 Internal SSIS error code
0xC0209071 Hexadecimal version of 469
PrimeOutput Failed Component couldn’t push rows to the pipeline
DTS_E_PRIMEOUTPUTFAILED Official technical name

Top 7 Real Causes of SSIS Error 469 (2025)

Understanding why SSIS 469 occurs is essential to fixing it quickly.

# Cause Typical Scenario How to Confirm
1 Data type mismatch String → INT column Column name appears in error log
2 NULL into NOT NULL column Blank Excel cell → SQL NOT NULL Common with CSV/Excel sources
3 Truncation 150-character value → VARCHAR(100) Message may mention “truncated”
4 Schema changed Column renamed or deleted Validation fails immediately
5 One bad row Row 15,847 has “N/A” in numeric column Visible only with Data Viewer
6 Script Task exception Divide by zero, null reference in custom code Check Script Task output window
7 Memory / buffer overflow Large files + many parallel tasks Server CPU/memory spikes

Step-by-Step Troubleshooting Guide

Here’s the exact order to fix SSIS 469 reliably:

Step 1: Enable Proper Logging

  1. Right-click your package → Logging.

  2. Add SSIS log provider for Text files.

  3. Enable: OnError, OnInformation.

  4. Include fields:

    • ErrorCode

    • ErrorColumn

    • ErrorDescription

    • SourceComponent

Proper logging ensures you know exactly which component failed and why.

Step 2: Find the Exact Failing Component

  • In Progress / Execution Results, look for the red X.

  • Note the component name and lineage ID.

  • This isolates the issue instead of guessing.

Step 3: Use Data Viewer – The Real Game-Changer

  • Right-click any arrow in the Data Flow → Enable Data Viewer.

  • Run in Debug mode → you can see the bad row in real time.

Most SSIS 469 errors are caused by a single problematic row.

Step 4: Redirect Error Rows

  • Click the red arrow on the failing component.

  • Choose Redirect row → send to flat file or error table.

  • The package finishes successfully, and you get the exact bad data.

This method prevents the entire package from failing due to one small error.

Step 5: Instant Fixes for the Top 3 Causes

Problem Quick Fix
Data type mismatch Add Data Conversion transformation
NULL values Use Derived Column: ISNULL(Column) ? 0 : Column
Truncation LEFT(LongColumn, 100) or increase destination column size

Step 6: Refresh Metadata (When Schema Changed)

  • Right-click Connection Manager → Validate / Reconnect

  • Ensure column names and types match source & destination.

Step 7: Fix Memory Issues (Large Files)

Adjust package properties:

Property Recommended Setting
DefaultBufferMaxRows 10,000
DefaultBufferSize 10 MB (10485760)
BLOBTempStoragePath Fast drive (e.g., D:\Temp)
MaxConcurrentExecutables Number of cores

Large files + too many parallel tasks can crash SSIS. Chunk processing avoids failures.

Preventing SSIS 469 Forever

  • Run Data Profiling Task before every production deployment.

  • Always tick “Column names in first row” for flat files.

  • Redirect errors on every single component.

  • Use Project Deployment Model with parameters/environments.

  • Store packages in Git or Azure DevOps for version control.

  • Schedule monthly validation using catalog.validate_package.

Real-Life Fixes (Tested in 2025 Projects)

  • Daily CSV sales load: One phone number was “N/A” → Fixed with Derived Column in 4 minutes.

  • Bank data migration: Column renamed Cust_ID → CustomerID → Refreshed metadata → Fixed in 2 minutes.

  • 12 GB file import: Server crashing → Reduced buffer size + chunk processing → Runs smoothly now.

How to Safely Handle Script Tasks Without Code

Instead of raw C# code, here’s a safe approach for Script Tasks:

  1. Wrap your logic in error handling

    • Always catch exceptions like divide by zero or null references.

  2. Log all errors

    • Use SSIS logging (FireError) to record error messages and stack traces.

  3. Set task result appropriately

    • On success → mark Script Task as success.

    • On failure → mark Script Task as failed.

Pseudo-code for clarity:

try
execute your task
mark success
catch exception
log error
mark failure

This ensures your Script Task never triggers SSIS 469 unintentionally.

Frequently Asked Questions (FAQs)

Q1: Can SSIS 469 occur in Control Flow?
A: No, it only occurs in Data Flow Tasks.

Q2: How long does it take to fix SSIS 469?
A: Most fixes take under 15 minutes, especially with logging and Data Viewer enabled.

Q3: Can I prevent SSIS 469 permanently?
A: Yes, using Data Profiling, Error Redirection, and Metadata Validation reduces chances significantly.

Q4: Does SSIS 469 indicate corrupted data?
A: Not necessarily. It indicates a processing failure — often due to a single bad row, type mismatch, or schema change.

Final Words

SSIS Error 469 is not your enemy — it’s protecting you from loading bad data.

Master the Data Viewer + Error Redirection, follow the step-by-step troubleshooting, and you’ll become an SSIS 469 expert.

Bookmark this guide, share it with your team, and say goodbye to frustrating ETL failures forever.

Also read:DGH A: The Future of Data-Growth-Holistic Automation

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