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Hello,
Thank you very much for your question. Based on the information provided, it seems that the error is occurring due to the presence of a special character (in this case, the character 'é') in one of the records in your DynamoDB table. The Glue service is unable to parse or recognize this character, which is causing the error during the data preview and the ETL job execution.
In order to understand the error message better, you can read the following information:
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"Data preview failure.": This error occurs when Glue is unable to generate a preview of the data from the source (DynamoDB table in your case). This could be due to various reasons, such as data format issues, special characters, or other compatibility problems.
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"Error Category: UNCLASSIFIED_ERROR; An error occurred while calling o98.getCatalogSource. line 1:549 token recognition error at: 'é'": This error message indicates that Glue encountered an issue while trying to read or process the data from the DynamoDB table. Specifically, it was unable to recognize the token (character) 'é' at line 1, position 549 of the data.
To address this issue and solve it, you have a few options:
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Identify the specific record with the special character: Since you're working with a DynamoDB table, you can use the AWS Management Console, AWS CLI, or an SDK to scan the table and identify the record(s) containing the special character 'é'. Once you have the record(s), you can either remove or replace the special character(s) in the DynamoDB table itself.
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Use a Transform step to clean the data: If modifying the data in the DynamoDB table is not an option, you can add a Transform step in your Glue ETL job to clean or remove the special characters from the data before writing it to S3. You can use Glue's built-in functions or write custom Scala or Python code to handle the data cleaning.
In any case, to identify the specific record or records with the special character in your DynamoDB table, you can use the AWS Management Console, AWS CLI, or an SDK (e.g., Python's boto3 library). Here's an example of how you can scan the DynamoDB table using the AWS CLI:
aws dynamodb scan --table-name <your-table-name> --filter-expression "contains(#field, :value)" --expression-attribute-names '{"#field": "<field-name>"}' --expression-attribute-values '{":value": {"S": "é"}}' --output text
Replace <your-table-name> with the name of your DynamoDB table, and <field-name> with the name of the field where you suspect the special character might be present. This command will scan the table and return any records containing the character 'é' in the specified field.
Once you have identified the problematic records, you can take appropriate action to clean or remove the special characters before proceeding with the ETL job.
Thanks for your reply, the dynamodb command helped me a lot to find the records.
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