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As currently designed, the Amazon S3 Download tool only allows one file, or object, to be read in at a time. This article explains how to create a workflow and batch macro that will read in the list of objects in a bucket and allow you to filter for the file(s) you want using wildcards!
Amazon offers many different services that can be accessed from the AWS Command Line Interface (aka the AWS CLI). Alteryx workflows can take advantage of these services using the AWS CLI from the Run Command tool.
Amazon Redshift: Check 'stl_load_errors' system table for error details When writing to Amazon Redshift, the following error appears: Data Stream In (x): The COPY failed with error: [Amazon][Amazon Redshift] (30) Error occurred while trying to execute a query: [SQLState XX000] ERROR: Load into table 'ayx1XXX' failed. Check 'stl_load_errors' system table for details. Environment Alteryx Designer In-DB connection to Amazon Redshift Cause Amazon Redshift uses the stl_load_errors table to track errors that happen when loading data to a Redshift table. This table contains error messages that will provide necessary detail to determine the cause for an error. For more information on the stl_load_errors table, see Amazon's STL LOAD_ERROR documentation. Solution Users with appropriate permissions can access the table themselves to investigate errors: Open a new Alteryx workflow. Drag an Input Tool on the canvas. Connect to the Redshift database. Go to the SQL Editor Window and enter the following query: Select * From stl_load_errors Run the workflow. The table will return an error code and an error reason. Use the column "starttime" to find the right error. See Amazon's STL_LOAD_ERROR documentation for a detailed explanation of all fields on the table and their load error reference for a list of errors. Solution B If the user doesn't have access to the table themselves, their DBA should be able to provide the same information. Error Message examples String length exceeds DDL length Input data exceeded the acceptable range for the data type, try increasing the field size in Alteryx to resolve the error. This often happens with multi-byte characters. In Alteryx, field size relates to characters, i.e.the value 'Góðan dag' only needs a field length of 9. In Redshift, field size is in bytes, to write out 'Góðan dag', the field size has to be at least 11. See Amazon's document on Redshift character types for more information. Multibyte character not supported for CHAR (Hint: try using VARCHAR) The CHAR datatype in Redshift only accepts single-byte UTF-8 characters. The VARCHAR datatype accepts multi-byte characters, to a maximum of four bytes. The WString datatype in Alteryx is translated into a CHAR datatype in Redshift. To load multi-byte characters into Redshift, use the V_WString datatype in Alteryx. Additional Resources STL_LOAD_ERRORS Documentation from Amazon Database Issues – Working with Alteryx Customer Support Engineers (CSEs)