A stored procedure validates input parameters or source data before processing and calls RAISERROR('Row count mismatch: expected >0 rows in staging', 16, 1) when the staging table is empty — signalling that the upstream load did not complete.. A DML trigger on the target table enforces a business rule (e.g. no negative amounts, no future effective dates) and raises 50000 when an INSERT or UPDATE violates that rule, rolling back the transaction and propagating the error to the caller.. An ETL orchestration procedure checks that a prerequisite step completed successfully by querying a pipeline_log or control table, and raises 50000 with a message like 'Prerequisite load for dim_customer not found for run_date 2026-05-11' when the expected record is absent.. A THROW statement inside a TRY/CATCH block re-raises a caught exception without a custom error number, which SQL Server maps to 50000 — this means the original error detail is in the message text, not in the error number.. A merge or upsert procedure detects an unexpected duplicate on what should be a unique business key and raises 50000 to abort the batch rather than silently overwriting production data.. A data quality gate procedure compares row counts or checksums between source and target after a bulk load and raises 50000 when the delta exceeds a configured threshold, acting as a built-in reconciliation check.. A scheduled SQL Agent job calls a procedure that raises 50000 to signal a soft failure (data not yet available, partner feed delayed) — the job step fails, and the error propagates to any ADF pipeline that invoked the job via a Stored Procedure activity.

Step 1: Read the full error message text. In ADF, open the pipeline run → click the failed activity → expand 'Error' in the Output pane. The message field contains the exact string passed to RAISERROR or THROW. This message is your primary diagnostic — it was written by the procedure author to describe the failure condition.. Step 2: Locate the RAISERROR or THROW statement in the procedure body. Run the following query against the database to find all procedures containing the message fragment: SELECT OBJECT_NAME(object_id) AS proc_name, definition FROM sys.sql_modules WHERE definition LIKE '%your message fragment%' AND OBJECTPROPERTY(object_id, 'IsProcedure') = 1;. Step 3: Identify whether the error is raised by a trigger rather than a procedure. If Step 2 returns nothing, search triggers: SELECT OBJECT_NAME(object_id) AS trigger_name, definition FROM sys.sql_modules WHERE definition LIKE '%your message fragment%' AND OBJECTPROPERTY(object_id, 'IsTrigger') = 1;. Step 4: Investigate the root cause described in the message. Common patterns: (a) empty staging table — check whether the upstream activity completed and loaded rows: SELECT COUNT(*) FROM staging.your_table WHERE batch_id = @batch_id; (b) missing control record — query the pipeline_log or control table for the expected run_date entry; (c) business rule violation — identify which rows violate the rule and fix or filter them before rerunning.. Step 5: If the error originates from a THROW inside a TRY/CATCH that re-raises a system error, the original error detail is in the message text. Parse the message for the original error number (format: 'Msg NNNN') and investigate that error separately.. Step 6: Fix the data condition or prerequisite gap, then rerun the pipeline activity. If the failure is intermittent (e.g. upstream feed delayed), configure a retry policy on the Stored Procedure activity in ADF: set Retry = 3, Retry interval = 300 seconds to handle transient unavailability without manual intervention.. Step 7: If this error recurs on a schedule, add an error path in ADF from the failing Stored Procedure activity to a Set Variable or Web activity that captures @activity('YourActivityName').error.message and writes it to a monitoring table or sends an alert — this preserves the custom message for post-mortem without requiring access to SQL Server logs.

Medium severityquery

SQL Server Error:
50000

Impact

When error 50000 fires on a production load procedure, it means a data gate deliberately stopped the pipeline — downstream tables are not updated, dependent reports show stale data, and any SLA on that dataset is at risk until the root cause is resolved and the pipeline reruns successfully.

When error 50000 halts an ADF pipeline, all downstream activities in the same pipeline execution do not run. Tables that depend on the failed load remain at their last successfully loaded state — potentially hours or days stale depending on pipeline frequency. Any reports, dashboards, or downstream pipelines that read those tables will show outdated data without any visible error of their own. If a retry policy is not configured, the pipeline stays in Failed state until manually rerun or the next scheduled trigger fires.

What does this error mean?

Error 50000 is raised when a stored procedure, trigger, or T-SQL batch explicitly calls RAISERROR or THROW without specifying a custom error number. Unlike system errors, this error carries a developer-written message that describes the exact failure condition — a missing staging record, a failed checksum, a duplicate key in a business key column, or a violated referential rule. In ADF and Fabric pipelines, the activity status switches to Failed and the custom message surfaces in the error detail. The pipeline halts at the failing activity; downstream activities in the same pipeline do not execute unless an error path is configured.

Common causes

1A stored procedure validates input parameters or source data before processing and calls RAISERROR('Row count mismatch: expected >0 rows in staging', 16, 1) when the staging table is empty — signalling that the upstream load did not complete.
2A DML trigger on the target table enforces a business rule (e.g. no negative amounts, no future effective dates) and raises 50000 when an INSERT or UPDATE violates that rule, rolling back the transaction and propagating the error to the caller.
3An ETL orchestration procedure checks that a prerequisite step completed successfully by querying a pipeline_log or control table, and raises 50000 with a message like 'Prerequisite load for dim_customer not found for run_date 2026-05-11' when the expected record is absent.
4A THROW statement inside a TRY/CATCH block re-raises a caught exception without a custom error number, which SQL Server maps to 50000 — this means the original error detail is in the message text, not in the error number.
5A merge or upsert procedure detects an unexpected duplicate on what should be a unique business key and raises 50000 to abort the batch rather than silently overwriting production data.
6A data quality gate procedure compares row counts or checksums between source and target after a bulk load and raises 50000 when the delta exceeds a configured threshold, acting as a built-in reconciliation check.
7A scheduled SQL Agent job calls a procedure that raises 50000 to signal a soft failure (data not yet available, partner feed delayed) — the job step fails, and the error propagates to any ADF pipeline that invoked the job via a Stored Procedure activity.

How to fix it

1Step 1: Read the full error message text. In ADF, open the pipeline run → click the failed activity → expand 'Error' in the Output pane. The message field contains the exact string passed to RAISERROR or THROW. This message is your primary diagnostic — it was written by the procedure author to describe the failure condition.
2Step 2: Locate the RAISERROR or THROW statement in the procedure body. Run the following query against the database to find all procedures containing the message fragment: SELECT OBJECT_NAME(object_id) AS proc_name, definition FROM sys.sql_modules WHERE definition LIKE '%your message fragment%' AND OBJECTPROPERTY(object_id, 'IsProcedure') = 1;
3Step 3: Identify whether the error is raised by a trigger rather than a procedure. If Step 2 returns nothing, search triggers: SELECT OBJECT_NAME(object_id) AS trigger_name, definition FROM sys.sql_modules WHERE definition LIKE '%your message fragment%' AND OBJECTPROPERTY(object_id, 'IsTrigger') = 1;
4Step 4: Investigate the root cause described in the message. Common patterns: (a) empty staging table — check whether the upstream activity completed and loaded rows: SELECT COUNT(*) FROM staging.your_table WHERE batch_id = @batch_id; (b) missing control record — query the pipeline_log or control table for the expected run_date entry; (c) business rule violation — identify which rows violate the rule and fix or filter them before rerunning.
5Step 5: If the error originates from a THROW inside a TRY/CATCH that re-raises a system error, the original error detail is in the message text. Parse the message for the original error number (format: 'Msg NNNN') and investigate that error separately.
6Step 6: Fix the data condition or prerequisite gap, then rerun the pipeline activity. If the failure is intermittent (e.g. upstream feed delayed), configure a retry policy on the Stored Procedure activity in ADF: set Retry = 3, Retry interval = 300 seconds to handle transient unavailability without manual intervention.
7Step 7: If this error recurs on a schedule, add an error path in ADF from the failing Stored Procedure activity to a Set Variable or Web activity that captures @activity('YourActivityName').error.message and writes it to a monitoring table or sends an alert — this preserves the custom message for post-mortem without requiring access to SQL Server logs.

Example log output

Activity 'RunLoadProcedure' failed: Msg 50000, Level 16, State 1, Procedure usp_load_fact_sales, Line 42: Staging row count is 0 for batch_id=20260511 — upstream extract did not complete. Pipeline run aborted.SqlException: Error 50000, Severity 16, State 1 — Business rule violation: effective_date cannot be in the future. Transaction rolled back by trigger trg_validate_dim_product.THROW 50000, 'Prerequisite record for run_date 2026-05-11 not found in pipeline_control. Ensure usp_stage_customers completed successfully before running this procedure.', 1;

Frequently asked questions

How do I fix SQL Server error 50000 in an ADF pipeline?

Open the failed pipeline run, click the failed Stored Procedure activity, and read the full error message — it contains the exact reason the procedure raised the error. Fix the underlying data condition (empty staging table, missing control record, business rule violation) and rerun. If the failure is intermittent, add a retry policy (3 retries, 300s interval) on the activity so transient issues resolve automatically.

Can I retry error 50000 automatically, or does it always need manual intervention?

It depends on the cause. If 50000 is raised because upstream data is not yet available (delayed feed, prerequisite load not finished), an ADF retry with a delay will often resolve it without manual work. If it is raised because of a data quality failure (row count mismatch, duplicate key, business rule violation), a retry will fail again until the data issue is corrected — retrying without fixing the root cause wastes pipeline capacity and delays alerting.

What is the difference between RAISERROR 50000 and THROW in SQL Server?

RAISERROR (legacy syntax) requires you to specify the error number explicitly; if you pass 50000 it is because that is the intended number. THROW (SQL Server 2012+) inside a CATCH block re-raises the original error with its original number; THROW outside a CATCH (used as a standalone raise) requires you to provide a number, message, and state — if developers omit the number or use 50000 by convention, that is what the caller sees. THROW is preferred in modern T-SQL; RAISERROR is common in older codebases.

How do I find which stored procedure raised error 50000 when the ADF error message is truncated?

ADF sometimes truncates long error messages. Query sys.sql_modules with a fragment of the visible message text: SELECT OBJECT_NAME(object_id), definition FROM sys.sql_modules WHERE definition LIKE '%fragment%'. If the message is entirely generic (e.g. 'An error occurred'), check the SQL Server error log or Extended Events session on the server for the full message — ADF captures what SQL Server returns to the client, which may be shorter than what was logged server-side.

Source · learn.microsoft.com/en-us/sql/t-sql/language-elements/raiserror-transact-sql