Graylog nodes constantly keep track of every indexing operation they perform. This helps to make sure they don't unintentionally lose any messages. The web interface can show you a number of write operations that failed and also a list of failed operations. Like any other information in the web interface, this is also available via the REST APIs so you can hook it into your own monitoring systems.


Information about indexing failures is stored in a capped MongoDB collection that is limited in size. A lot (many tens of thousands) of failure messages should fit in there but it should not be considered a complete collection of all errors ever thrown.

Hint: For information regarding indexer failures in Graylog Operations version 4.2, see Indexer and Processing Failures.

Common indexer failure reasons

There are some common failures that can occur under certain circumstances. These are explained here:


An error message would look like this:

MapperParsingException[failed to parse [failure]]; nested: NumberFormatException[For input string: "some string value"];

You try to write a string into a numeric field of the index. The indexer tries to convert it to a number, but fails because the string does contain characters that could not be converted.

This could be triggered by sending GELF messages with different field types or extractors trying to write strings without converting them to numeric values first. The recommended solution is to actively decide on field types. If you sent in a field like https_response_code with a numeric value, then you should never change that type in the future.

The same can happen with all other field types like booleans, for example.

Note that index cycling is something to keep in mind here. The first type written to a field per index wins. If the Graylog index cycles, that means the field types are starting from scratch for that index. If the first message written to that index has the https_response_code set as string, then it will be a string until the index cycles the next time. Take a look at Index model for more information.