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Select Reference

This document describes what the SELECT parameter is and gives a few examples on how to use it. Refer to the Query API for how to write POST queries.

The parameter is in JSON, and can be used with POST queries. The SELECT-parameter is equivalent with YQL, and can be used instead, but not together. Nor can it be used together with the QUERY-parameter.

Structure

"select" : {
  "where" : {...},
  "grouping" : {...}
}

Where

In difference from the sql-like syntax in YQL, the where queries is written in a tree syntax. By combining YQLs functions and arguments, queries equivalent with YQL can be written in JSON.

Formal structure

Functions are nested like this:

FUNCTION : {
  "children" : [ argument, argument,..],
  "attributes" : {annotations}
{

or like this, by moving the children-key up, if attributes are not in use with the function:

FUNCTION : [
  argument,
  argument,
  ...
]

YQL is a regular language and is parsed into a query-tree when parsed in Vespa. That tree can also be built with the WHERE-parameter in JSON.

Let's take a look at this yql: select * from sources * where default contains foo and rank(a contains "A", b contains "B"), which will create the following query-tree:

Example query tree

The tree above can be written with the where-parameter, like this:

{
  "and" :  [
    { "contains" : ["default", "foo"] },
    { "rank" : [
      { "contains" : ["a", "A"] },
      { "contains" : ["b", "B"] }
    ]}
  ]
}

Which is equivalent with the YQL.

Grouping

One or more grouping statements, can be set as a JSON array in the grouping field. Each array item is a grouping statement represented as JSON where

  • Each grouping function is represented by a JSON object where the name of the function is the field name and the value is the function content.
  • Lists of arguments are represented as JSON arrays.

Examples:

Grouping statement:

| all(group(time.year(a)) each(output(count())
    all(group(time.monthofyear(a)) each(output(count())))

equivalent JSON grouping-argument:

"grouping" : [
  {
    "all" : {
      "group" : "time.year(a)",
      "each" : { "output" : "count()" },
      "all" : {
        "group" : "time.monthofyear(a)",
        "each" : { "output" : "count()" },
      }
    }
  }
]

Grouping statement:

all(group(predefined(foo, bucket[1, 2>, bucket[3, 4>)))

equivalent JSON grouping-argument:

"grouping" : [ 
  { 
    "all" : { 
      "group" : { 
        "predefined" : [ "foo", { "bucket": [1,2]}, { "bucket": [3,4]} ] 
      } 
    } 
  } 
]

A complete example

{
  "select" : {
    "where" : {
      "and" : {
        "children" : [
          {"title" : "music"},
          {"default" : "festival"}
        ]
      }
     },
    "grouping" : [ {
      "all" : {
	      "group" : "time.year(a)",
          "each" : { "output" : "count()" }
      }		
    } ]
  },
  "offset" : 5,
  "presentation" : {
    "bolding" : false,
    "format" : "json"
  }
}

Examples with the different functions

CONTAINS

YQL: where title contains 'a'.

Format of this in JSON:

"where" : {
  "contains" : [ "title", "a" ]
}
Numeric Operators

YQL: where date >= 10.

Format of this in JSON:

Introducing the range-parameter:

"range" : [
  "date",
  { ">=" : 10}
]

The range query accepts the following parameters:

OperatorDescription
Greater-than or equal to
>Greater-than
<Less-than
Less-than or equal to

YQL: where range(field, 0, 500).

Format of this in JSON:

"where" : {
  "range" : [
    "field",
    { ">=" : 0, "<=" : 500}
  ]
}
OR

YQL: where title contains 'a' or title contains "b".

Format of this in JSON:

"where" : {
  "or" : [
    { "contains" : [ "title", "a" ] },
    { "contains" : [ "title", "b" ] }
  ]
}
AND

YQL: where title contains 'a' and title contains "b".

Format of this in JSON:

"where" : {
  "and" : [
    {"contains" : [ "title" : "a" ] },
  {"contains" : [ "title" : "b" ] }
  ]
}
AND NOT

YQL: where title contains "a" and !(title contains "b").

Format of this in JSON:

"where" : {
  "and_not" : [
    {"contains" : [ "title" : "a" ] },
    {"contains" : [ "title" : "b" ] }
  ]
}

Formal structure:

"where" : {
  "and_not" : [
    <Statement>,
    <!Statement>,
    ..
  ]
}
Regular expressions

YQL: where title matches "madonna".

Format of this in JSON:

"where" : {
  "matches" : [
    "title",
    "madonna"
  ]
}

Another example:

YQL: where title matches "mado[n]+a"

"where" : {
  "matches" : [
    "title",
    "mado[n]+a"
  ]
}
Phrase

YQL: where text contains phrase("st", "louis", "blues").

Format of this in JSON:

"where" : {
  "contains" : [ 
    "phrase" : ["st", "louis", "blues"]
  ]
}
Near and Ordered Near

YQL: where description contains ([ {"distance": 100} ]onear("a", "b")).

Format of this in JSON:

"where" : {
  "contains" : [ 
    "description",
    { "onear" : {
      "children" : ["a", "b"],
      "attributes" : {"distance" : 100} 
      }
    }
  ]
}
Search within same struct element

YQL: where persons contains sameElement(first_name contains 'Joe', last_name contains 'Smith', year_of_birth < 1940).

Format of this in JSON:

"where" : {
  "contains" : [
    "persons",
    { "sameElement" : [
      {"first_name" : "Joe",
      "last_name" : "Smith",
      "range" : [
        "year_of_birth",
        { "<" : 1940}
      ]
      }
    ]
    }
  ]
}
Term Equivalence

YQL: where fieldName contains equiv("A","B").

Format of this in JSON:

"where" : {
  "contains" : [
    "fieldName",
    { "equiv" : ["A", "B"] }
  ]
}
Rank

YQL: where rank(a contains "A", b contains "B").

Format of this in JSON:

"where" : {
  "rank" : [
    { "contains" : [ "a", "A" ] },
    { "contains" : [ "b", "B" ] }
  ]
}
Advanced functions
Wand

YQL: where wand(description, {"a":1, "b":2}.

Format of this in JSON:

"where" : {
  "wand" : [ "description", {"a" : 1, "b":2} ]
}

Another example:

YQL: where [ {"scoreThreshold": 13, "targetHits": 7} ]wand(description, {"a":1, "b":2}).

Format of this in JSON:

"where" : {
  "wand" : {
    "children" : [ "description", {"a" : 1, "b":2} ],
    "attributes" : {"scoreThreshold": 13, "targetHits": 7}
  }
}
dotProduct

YQL: where dotProduct(description, {"a":1, "b":2}).

Format of this in JSON:

"where" : {
  "dotProduct" : [ "description", {"a" : 1, "b":2} ]
}
weightedSet

YQL: where weightedSet(description, {"a":1, "b":2}).

Format of this in JSON:

"where" : {
  "weightedSet" : [ "description", {"a" : 1, "b":2} ]
}
weakAnd

YQL: where {scoreThreshold: 41, "targetHits": 7}weakAnd(a contains "A", b contains "B").

Format of this in JSON:

"where" : {
  "weakAnd" : {
    "children" : [ { "contains" : ["a", "A"] }, { "contains" : ["b", "B"] } ],
    "attributes" : {"scoreThreshold": 41, "targetHits": 7}
	}
}
Predicate

YQL: where predicate(predicate_field,{"gender":"Female"},{"age":20L}).

Format of this in JSON:

"where" : {
  "predicate" : [
    "predicate_field",
    {"gender" : "Female"},
    {"age" : 20L}
  ]
}