```Internal Server Error: com.fasterxml.jackson.da...
# ask-ai
p
Copy code
Internal Server Error: com.fasterxml.jackson.databind.JsonMappingException: String value length (20054016) exceeds the maximum allowed (20000000, from `StreamReadConstraints.getMaxStringLength()`) (through reference chain: io.airbyte.connectorbuilderserver.api.client.model.generated.StreamRead["slices"]->java.util.ArrayList[0]->io.airbyte.connectorbuilderserver.api.client.model.generated.StreamReadSlicesInner["pages"]->java.util.ArrayList[0]->io.airbyte.connectorbuilderserver.api.client.model.generated.StreamReadSlicesInnerPagesInner["response"]->io.airbyte.connectorbuilderserver.api.client.model.generated.HttpResponse["body"])
u
The error message you're seeing is related to the maximum string length allowed by the Jackson library during JSON deserialization. This issue has been encountered in Airbyte when dealing with large data sizes, particularly when syncing data to destinations like BigQuery or Redshift, or when the connector builder server receives a large response from the API. In the case of BigQuery, for instance, an error was reported when the JSON string value length exceeded the maximum allowed, causing the sync to fail ([source](https://github.com/airbytehq/airbyte/issues/44093)). Similarly, the connector builder server failed when it received a response from the API that was too large ([source](https://github.com/airbytehq/airbyte/issues/34814)). In your case, the error message indicates that the string value length (20054016) exceeds the maximum allowed (20000000). This is happening during the deserialization of the
StreamRead
object, specifically at the
body
field of the
HttpResponse
object. Unfortunately, without more context or information about the specific connector or operation you're performing, it's difficult to provide a more specific solution. However, you might want to consider handling large responses more gracefully, such as by implementing pagination or partitioning to split up the data into smaller chunks, or by increasing the memory allocated to handle larger requests. If you're developing a connector, you might need to adjust your implementation to handle these large data sizes. If you're using an existing connector, you might need to report this issue to the Airbyte team for further investigation.