After DataService Studio receives an API request, it returns a response that contains an error code. You can locate and troubleshoot issues based on the error code. This topic describes common error codes that are returned by DataService Studio.
| Error code | Error message | Description |
| 0 | success | The error message returned because the data query has succeeded. |
| 1108110583 | query timeout | The error message returned because the query has timed out. The timeout occurs because the total running duration of the API in DataService Studio and the database exceeds the timeout period that is configured for the API. |
| 1108110519 | param miss | The error message returned because some required request parameters are not specified. |
| 1108110584 | api context failed | The error message returned because the system has failed to obtain context information based on the third party. The information includes the connection information of the data source, AccessKey information of the data source, and tenant information. |
| 1108110622 | datasource query error | The error message returned because the system has failed to query the data source. The failure may occur because the SQL syntax is invalid, the data source does not respond within the configured timeout period (10s), or the number of connections to the data source exceeds the upper limit. |
| 1108110703 | database connection error | The error message returned because the data source has failed to be connected. |
| 1108113002 | rate limit | The error message returned because the maximum number of API requests has been reached and subsequent API requests are not processed. Public resource groups are used to process API requests. Each public resource group can be used to process a maximum of 200 requests from each tenant per second. If the number of API requests from a tenant per second exceeds the threshold, bandwidth throttling is triggered. |
| Other error codes | Other error messages | If the response contains an error code other than the preceding error codes, you can join the DataWorks DingTalk group for technical support. |