“Load failed” errors when loading data into Snowflake can occur due to various reasons. These errors typically indicate issues during the data loading process. Here are some potential causes of “Load failed” errors and how to resolve them:
1. **Data Format and Schema Mismatch**:
– Cause: The data format in the file being loaded does not match the expected format or schema defined for the target table.
– Resolution: Ensure that the data in the file matches the table’s schema and that data types, column order, and delimiters are consistent.
2. **File Accessibility Issues**:
– Cause: The file being loaded is not accessible due to incorrect file path, permissions, or network issues.
– Resolution: Verify that the file path is correct, the file has the necessary permissions, and there are no network connectivity problems.
3. **Data Integrity Violations**:
– Cause: The data being loaded violates constraints, such as unique keys or referential integrity, defined on the target table.
– Resolution: Review the data for integrity violations and correct any issues before attempting to load again.
4. **Concurrency or Resource Constraints**:
– Cause: Concurrent load operations or resource limitations on the warehouse can lead to load failures.
– Resolution: Consider adjusting the concurrency settings for the warehouse or using appropriate resource management techniques to prevent overloading.
5. **File Corruption or Incomplete Data**:
– Cause: The data file is corrupted or incomplete, preventing successful loading.
– Resolution: Ensure that the data file is valid and complete. If the file is corrupted, obtain a clean copy of the data.
6. **Encoding and Character Set Issues**:
– Cause: Incorrect character encoding or character set in the data file can cause issues during loading.
– Resolution: Verify that the file’s character encoding matches the expected encoding for the target table.
7. **Data Transformation Errors**:
– Cause: Data transformation functions or expressions used during the load process result in errors or unexpected values.
– Resolution: Review the data transformation logic and correct any errors or inconsistencies.
8. **Column Length Exceeds Limit**:
– Cause: Data in a column exceeds the defined length limit for the target table.
– Resolution: Ensure that the data being loaded adheres to the defined column length limits.
9. **Insufficient Storage Space**:
– Cause: The warehouse running the load operation runs out of storage space.
– Resolution: Monitor warehouse storage usage and ensure sufficient space is available. Resize the warehouse if needed.
10. **Load Settings and Options**:
– Cause: Incorrect load settings or options specified in the COPY command can lead to load failures.
– Resolution: Review the COPY command settings and ensure they are appropriate for the data being loaded.
11. **Network Connectivity Issues**:
– Cause: Network disruptions or connectivity issues between the client and Snowflake servers.
– Resolution: Verify network connectivity and ensure there are no issues affecting data transfer.
12. **Schema Changes During Load**:
– Cause: Changes to the table schema during the load process, such as altering column data types or constraints.
– Resolution: Ensure that the schema remains consistent throughout the load process or handle schema changes appropriately.
13. **Row-Level Errors**:
– Cause: Some rows in the data file might have errors that prevent them from being loaded.
– Resolution: Review the error logs or rejected rows report to identify and correct rows with errors. Retry the load with corrected data.
To address “Load failed” errors, carefully review the error message provided by Snowflake, analyze the potential causes mentioned above, and take appropriate corrective actions. Snowflake’s documentation and error messages can provide more specific guidance for troubleshooting and resolving load-related issues.