Troubleshoot issues writing data

• Handle write and delete responses
• Troubleshoot failures

If InfluxDB OSS successfully writes all the request data to the bucket, InfluxDB returns success (HTTP 204 status code). The first rejected point in a batch causes InfluxDB to reject the entire batch and respond with an HTTP error status.

• 204 Success: All request data was written to the bucket.
• 400 Bad request: The line protocol data in the request was malformed. The response body contains the first malformed line in the data. All request data was rejected and not written.
• 401 Unauthorized: May indicate one of the following:
  • Authorization: Token header is missing or malformed.
  • API token value is missing from the header.
  • API token does not have sufficient permissions to write to the organization and the bucket. For more information about token types and permissions, see Manage API tokens.
• 404 Not found: A requested resource (e.g. an organization or bucket) was not found. The response body contains the requested resource type, e.g. “organization”, and resource name.
• 413 Request entity too large: All request data was rejected and not written. InfluxDB OSS only returns this error if the Go (golang) ioutil.ReadAll() function raises an error.
• 500 Internal server error: Default HTTP status for an error.
• 503 Service unavailable: Server is temporarily unavailable to accept writes. The Retry-After header describes when to try the write again.

If you notice data is missing in your bucket, do the following:

• Check the message property in the response body for details about the error.
• If the message describes a field error, troubleshoot rejected points.
• Verify all lines contain valid syntax (line protocol or CSV).
• Verify the timestamps match the precision parameter.
• Minimize payload size and network errors by optimizing writes.

InfluxDB rejects points for the following reasons:

• The batch contains another point with the same series, but one of the fields has a different value type.
• The bucket contains another point with the same series, but one of the fields has a different value type.

Check for field type differences between the missing data point and other points that have the same series–for example, did you attempt to write string data to an int field?