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I'm trying to store the output of CoreNLP in elasticsearch. I'm using one of the Python wrappers for CoreNLP for this. The output of the wrapper is a fairly large object, that eventually contains lists similar to this:

['word', {tag: 'abc', index: 2, ...}]

That is, a list of both a string and a dictionary.

When I try to index this in Elasticsearch, I get a MapperParsingException. As explained in this question, this is probably because my list contains different types, and Elasticsearch likes arrays of one type.

Is there a way to convince Elasticsearch to map this kind of data? I can turn the list into a dictionary before storing it, but that would require me to convert it back into a list when reading (there's a lot of other code that uses this data), and I'd rather not do that.

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  • And what stops you to use the suggestion from that SO post? You can sidestep this issue by explicitly declaring data as an object and setting enabled: false, but this is probably not the solution you want (since that just tells ES to store data as a text field, with no parsing. Commented Jul 7, 2015 at 7:10
  • Because I do want the nested object to be parsed and indexed. Commented Jul 7, 2015 at 10:56
  • That's not possible. You can't have different types in the same field, basically. Commented Jul 7, 2015 at 11:02
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