Improve this page

Logical Operators

Each query produces a list of documents with a weight according to how good a match each document is for that query. These queries can then be combined to produce a more complex tree-like query structure, with the operators acting as branches within the tree.

The most basic operators are the logical operators: _or, _and and _not - these match documents in the following way:

• _or - Finds documents which match any of the subqueries.
• _and - Finds documents which match all of the subqueries.
• _not - Finds documents which don’t match any of the subqueries.
• _and_not - Finds documents which match the first subquery A but not subquery B.
• _xor - Finds documents which are matched by subquery A or other or subquery B, but not both.

Each operator produces a weight for each document it matches, which depends on the weight of one or both subqueries in the following way:

• _or - Matches documents with the sum of all weights of the subqueries.
• _and - Matches documents with the sum of all weights of the subqueries.
• _not - Finds documents which don’t match any of the subqueries.
• _and_not - Matches documents with the weight from subquery A only.

Example

For example, the following matches all of those who either like bananas or are brown-eyed females:

SEARCH /bank/
{
  "_query": {
    "_or": [
      {
        "favoriteFruit": "banana"
      },
      {
        "_and": [
            { "gender": "female" },
            { "eyeColor": "brown" }
        ]
      }
    ]
  }
}

Back

Next