SSIS 469 Error: What It Means and How to Fix It

Your SSIS job was green yesterday. Today it is failing, and the log shows SSIS 469. Your manager is already asking when it will be fixed. Sound familiar?

The frustrating part is that SSIS 469 is not like a standard error with a neat explanation in the Microsoft docs. It surfaces in different forms — in SQL Agent job history, in the SSIS catalog execution log, or in the Windows Event Viewer — and it rarely tells you exactly what went wrong. It signals that something inside the package failed, but the real cause is usually one layer deeper.

This guide will help you understand what SSIS 469 actually indicates, walk through the most common causes, and give you a clear troubleshooting process to move from a failing package back to a healthy ETL job. We will also cover what you can do to reduce the chances of hitting the same error again.

What Is SSIS 469?

SSIS 469 is an error code that appears when an SQL Server Integration Services package fails during execution. It is a runtime signal — not a deep, documented system error — that tells you a task, data flow component, or external dependency inside the package could not complete successfully.

You will most commonly see it in:

• SQL Server Agent job history, where the job step reports a non-zero exit code
• The SSIS catalog (SSISDB) execution report under the Messages or All Messages tab
• The Windows Application Event Log, especially if the package is run via a proxy or service account
• SSIS log providers if you have configured them — plain text logs, database logs, or Windows Event Log entries

The important thing to understand is that SSIS 469 is a symptom, not a root cause. The package saw a failure in a specific task or component and reported it. Your job as the engineer is to find which task failed, and why.

Why SSIS 469 Is Confusing

Most developers who encounter SSIS 469 for the first time do exactly the same thing: they search for it, find almost nothing official from Microsoft, and start guessing. That is partly because:

• The code itself is not a formally documented DTS error constant in the same way codes like DTS_E_CANNOTACQUIRECONNECTIONFROMCONNECTIONMANAGER are.
• It can be triggered by many different underlying failures — connection issues, script task exceptions, permissions problems, data type mismatches, buffer overflows — so there is no single fix.
• When logging is set to default or minimal, the log entries around SSIS 469 are often too vague to point to a specific component.
• The error may appear consistent across environments but have completely different causes on each server.

The bottom line: SSIS 469 is a catch-all indicator that your package broke at runtime. The next step is always to gather more detail, not to search for a single universal fix.

Common Causes Behind SSIS 469

Most SSIS 469 errors trace back to a small set of recurring causes. Here are the ones you will see most often:

Step-by-Step Troubleshooting System for SSIS 469

This is the process to follow whenever you see SSIS 469. Do not skip steps. Each one narrows the scope and gets you closer to the actual fix.

Step 1: Get the Full Error, Not Just the Code

Before you touch anything, collect the complete error output.

• In SSMS: Go to Integration Services Catalogs > SSISDB > [Folder] > [Project] > [Package]. Right-click the last execution and select All Executions. Click the execution, then select All Messages from the report.
• In SQL Agent: Open the job history, click the failed step, and copy the full error message block — not just the first line.
• In logs: If a log provider is configured, open the log file and look at the lines around the SSIS 469 entry. The entries before it often contain the real failure message.

Next step: Identify which task or component is named in the error. It will usually say something like “Data Flow Task: Error” or “[Script Task] Error” followed by more detail.

Step 2: Identify the Failing Component

Once you have the full log, pinpoint which task failed. SSIS logs always name the component that raised the error. Look for patterns like:

• “[OLE DB Source [X]] Error” — data source connection or SQL query failure
• “[Script Task] Error: An exception occurred” — unhandled code error in a Script Task
• “[Data Flow Task] Error: SSIS Error Code DTS_E_OLEDBERROR” — OLE DB layer failure at the destination or source
• “Connection manager [Name] failed” — connection acquisition problem

Once you know the component, you can investigate it directly instead of guessing.

Step 3: Check Connections and Credentials

Connection issues are the most common trigger. Run through this checklist:

• Open each connection manager in the package and test the connection from the server where it runs, not your dev machine.
• Confirm server names, port numbers, database names, and authentication type (Windows vs SQL).
• If using Windows Authentication through SQL Agent, verify the proxy account or service account has access to the target resource.
• If the package connects to external services (REST APIs, FTP, SFTP), test those connections independently.
• Check whether required ODBC or OLE DB drivers are installed on the server — not just on your workstation.

A common pattern: the package runs perfectly in Visual Studio but fails on the server because the server uses a different account that does not have access to the same resources.

Step 4: Check Permissions

If the component that failed reads from or writes to a file, folder, database, or external system, confirm that the service account running the package has the right permissions.

• File system: Can the service account read/write to the UNC path or local folder used by the package?
• Database: Does the service account have SELECT, INSERT, or EXECUTE rights on the relevant objects?
• SQL Agent proxy: If the job step uses a proxy credential, does that credential have enough access?

To test this quickly: log in to the server as the service account (or use runas) and try to access the resource manually. If it fails there, the permission is missing — not in the SSIS package.

Step 5: Inspect Script Tasks and External Calls

If a Script Task or Script Component is involved, open it and look carefully:

• Are there any assembly references that may not exist on the server? Common culprits: third-party DLLs, custom libraries, or .NET version mismatches.
• Is there any network or file system call inside the script — API requests, file reads, database calls — that could fail silently?
• Are exceptions caught and logged, or does the script let unhandled exceptions bubble up? Add try-catch blocks with Dts.Events.FireError() to surface the real message.

Scripts are often the last place developers look, but they are among the most common sources of vague SSIS 469 errors — especially when the script relies on external dependencies.

Step 6: Isolate and Reproduce the Failure

If you cannot immediately identify the cause, reduce the scope:

• Disable all tasks except the one that failed. Run just that task.
• If a Data Flow is failing, temporarily add a Row Count transform after the source and run it with no destination to see if the source itself is the problem.
• Test with a small, controlled dataset to rule out data-specific causes (nulls, unexpected values, large volumes).
• Run the package manually from SSMS or SSDT as yourself, then compare to running it as the service account. Any difference points to a permissions or environment issue.

Step 7: Apply the Fix, Test, and Monitor

Once you identify the cause, apply a targeted fix — do not guess and re-run blindly. After the fix:

• Run the package manually from SSMS, not from the job, as an initial test.
• If the manual run succeeds, run the SQL Agent job and watch the execution in real time.
• Check the SSIS catalog log or your configured log provider to confirm everything completed cleanly.
• Document what the cause was and what you changed. This saves time when the same pattern appears in another package.

A Realistic SSIS 469 Scenario: From Error to Fix

Here is a typical real-world pattern that produces SSIS 469.

A nightly SQL Agent job runs a package that extracts data from an Oracle database, transforms it, and loads it into SQL Server. On Monday morning, the job fails. The job history shows SSIS 469 as the exit code. The error message in the log says: “SSIS Error Code DTS_E_CANNOTACQUIRECONNECTIONFROMCONNECTIONMANAGER.”

The team checks the package in Visual Studio — it runs fine. The Oracle connection manager tests successfully from their workstations. But the server cannot connect.

Digging into the server logs, they find that the Oracle ODBC driver was updated during a weekend maintenance window. The 64-bit version was replaced, but the package is configured to run in 32-bit mode because of an older project setting. The 32-bit driver is no longer present on the server.

The fix: either reinstall the 32-bit Oracle driver, or switch the package runtime to 64-bit and update the connection manager accordingly. After the change, the job runs cleanly.

This is a classic SSIS 469 scenario: the error code is generic, but the cause is specific — a version mismatch introduced by an infrastructure change that no one communicated to the data team.

Common Traps That Waste Your Time

Preventing SSIS 469: Best Practices

You cannot prevent every error, but you can make troubleshooting much faster and reduce the chance of recurring failures.

Enable Detailed Logging

Configure SSIS logging at the package level using the SSISDB catalog or a flat file/database log provider. At minimum, log OnError, OnTaskFailed, and OnWarning events. This alone cuts troubleshooting time significantly. For reference on logging configuration, the Microsoft documentation on SSIS logging (https://learn.microsoft.com/en-us/sql/integration-services/performance/integration-services-ssis-logging) is a reliable starting point.

Use Event Handlers Properly

Add OnError event handlers at the package level (not just individual tasks) to capture and log all failures in a consistent place. Send an email notification or write to an error log table when a critical task fails. This means the team knows immediately instead of waiting until someone checks job history.

Keep Environments Consistent

Development, QA, and production should have the same SSIS version, the same required drivers, and the same .NET framework versions. Use SSIS environment variables and project parameters to separate configurations rather than hardcoding server names or credentials inside packages. This eliminates a large class of environment-related SSIS 469 failures.

Test Connections Regularly

Build a simple monitoring package or use SQL Agent alerts to periodically test connection manager health for critical data sources. A connection that worked last month may fail after a password rotation or a network change. Catching this proactively is much better than finding out when a production job fails at 2am.

Handle Errors Explicitly in Script Tasks

Any Script Task that calls external resources, processes files, or performs custom logic should have explicit try-catch blocks. Use Dts.Events.FireError() to log a meaningful error message before allowing the script to fail. Without this, the SSIS log will only show SSIS 469 with no additional context — exactly the situation that makes debugging hard.

Conclusion

SSIS 469 is not a mystery — it is a signal that something inside your package failed at runtime. The error code itself is generic, but the cause is always specific: a broken connection, a missing permission, a script exception, a version mismatch, or a resource conflict.

The fastest path from SSIS 469 to a working job is a consistent troubleshooting process: get the full error log, identify the failing component, check connections and permissions, inspect scripts, isolate the issue, and apply a targeted fix.

More importantly, invest ten minutes after each incident to improve your logging, add event handlers, and document the root cause. Each SSIS 469 you resolve the right way makes the next one easier to fix.