• Type is a mechanism to store different data in the same index
  • Types help reducing number of indices for previously discussed performance reasons
  • Searching across types within index and between shards adds no overhead
  • Lucene implications - field that exists in one type will consume resources in other types
  • Fields across types in an index must use consistent data types, e.g. string or number, not string and number
  • Score for search results calculated at the index level
  • Mapping for document's properties are defined at the type level
  • Search and aggregation can be executed at type, index, alias, multi-index, or cluster levels

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