357 lines
10 KiB
YAML
357 lines
10 KiB
YAML
# A type that starts with "-" is an optional type, otherwise it can't be null
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currentVersion: "0.0.0"
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interfacesData:
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Query: []
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# versions must have only numbers, lowercase letters, dots, dashes. Maximum: 99.999.9999
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versions:
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0.0.0:
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details:
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changelog: "First version"
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superTypes:
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Query: [
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BoxedQuery, TermQuery, IntTermQuery, IntNDTermQuery, LongTermQuery, LongNDTermQuery, FloatTermQuery,
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FloatNDTermQuery, DoubleTermQuery, DoubleNDTermQuery,
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PhraseQuery, WildcardQuery, SynonymQuery, FuzzyQuery, MatchAllDocsQuery, MatchNoDocsQuery,
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BooleanQuery, SortedNumericDocValuesFieldSlowRangeQuery, SortedDocFieldExistsQuery,
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ConstantScoreQuery, BoostQuery, IntPointRangeQuery, IntNDPointRangeQuery, LongPointRangeQuery,
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FloatPointRangeQuery, DoublePointRangeQuery, LongNDPointRangeQuery, FloatNDPointRangeQuery,
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DoubleNDPointRangeQuery, IntPointExactQuery, IntNDPointExactQuery, LongPointExactQuery, FloatPointExactQuery,
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FloatPointExactQuery, DoublePointExactQuery, LongNDPointExactQuery, FloatNDPointExactQuery,
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DoubleNDPointExactQuery, IntPointSetQuery, LongPointSetQuery, FloatPointSetQuery, DoublePointSetQuery,
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StandardQuery
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]
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Occur: [OccurMust, OccurMustNot, OccurShould, OccurFilter]
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Sort: [NoSort, NumericSort, ScoreSort, DocSort, RandomSort]
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NumberFormat: [NumberFormatDecimal]
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PointType: [PointTypeInt, PointTypeLong, PointTypeFloat, PointTypeDouble]
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customTypes: {}
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classes:
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# Basic data
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# ==========
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# Wrapper for type Query
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BoxedQuery:
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data:
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query: Query
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# A term consists in a field that is exactly equal to the value string
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Term:
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data:
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field: String
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value: String
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# A Term with a position relative to the start of the query. Used internally in some specific queries
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TermPosition:
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data:
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term: Term
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position: int
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# A Term with a specified boost. Used internally in some specific queries
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TermAndBoost:
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data:
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term: Term
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boost: float
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# Occur options used for boolean queries
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OccurMust:
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data: { }
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OccurMustNot:
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data: { }
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OccurShould:
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data: { }
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OccurFilter:
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data: { }
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# Special queries
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# ===============
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# Raw lucene string query, parsable by lucene StandardQueryParser
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StandardQuery:
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data:
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query: String
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# Should be at least one field!
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defaultFields: String[]
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pointsConfig: PointConfig[]
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PointConfig:
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data:
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field: String
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data: PointConfigData
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PointConfigData:
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data:
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numberFormat: NumberFormat
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type: PointType
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NumberFormatDecimal: { data: { } }
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PointTypeInt: { data: { } }
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PointTypeLong: { data: { } }
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PointTypeFloat: { data: { } }
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PointTypeDouble: { data: { } }
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# Text queries
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# ============
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# Query that matches a term.
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TermQuery:
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data:
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term: Term
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# Query that matches a term.
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LongTermQuery:
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data:
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field: String
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value: long
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LongNDTermQuery:
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data:
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field: String
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value: long[]
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# Query that matches a term.
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IntTermQuery:
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data:
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field: String
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value: int
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# Query that matches a term.
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IntNDTermQuery:
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data:
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field: String
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value: int[]
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# Query that matches a term.
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FloatTermQuery:
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data:
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field: String
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value: float
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# Query that matches a term.
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FloatNDTermQuery:
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data:
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field: String
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value: float[]
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# Query that matches a term.
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DoubleTermQuery:
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data:
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field: String
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value: double
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# Query that matches a term.
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DoubleNDTermQuery:
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data:
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field: String
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value: double[]
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# Query that matches a phrase.
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PhraseQuery:
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data:
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# A phrase is a collection of positioned terms, with absolute positions,
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# counted as characters from the beginning of the phrase.
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phrase: TermPosition[]
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slop: int
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# Advanced query that matches text allowing asterisks in the query
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WildcardQuery:
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data:
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field: String
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pattern: String # Example: "*ing"
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# Advanced query that matches different exact values (synonyms)
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SynonymQuery:
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data:
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field: String
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parts: TermAndBoost[] # Each term has a boost. The preferred synonym has the highest boost value.
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# Advanced query. todo: document it
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FuzzyQuery:
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data:
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term: Term
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maxEdits: int
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prefixLength: int
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maxExpansions: int
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transpositions: boolean
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# Combination queries
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# ===================
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# Query that matches everything
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MatchAllDocsQuery:
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data: {}
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# Query that matches nothing
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MatchNoDocsQuery:
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data: {}
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# Query that matches if the document satisfies all the required parts
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BooleanQuery:
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data:
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# Each part can be:
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# - "MUST"
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# - "MUST_NOT"
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# - "SHOULD"
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# - "FILTER" (advanced, ignore this)
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# "SHOULD" is like "MUST" but it's not necessary.
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parts: BooleanQueryPart[]
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minShouldMatch: int # If set, it specifies how many "SHOULD" parts must be matched. 0 if not set
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# Part of a boolean query
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BooleanQueryPart:
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data:
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query: Query
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occur: Occur
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# Number queries
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# ==============
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# Advanced query that matches only a range of a sorted field, from "min" to "max".
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SortedNumericDocValuesFieldSlowRangeQuery:
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data:
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field: String
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min: long
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max: long
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# Query that matches if the sorted field exist in the document
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SortedDocFieldExistsQuery:
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data:
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field: String
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# Score modifying queries
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# ============
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# Query that fixes the score of a query to 1
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ConstantScoreQuery:
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data:
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query: Query
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# Query that boosts the query score
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BoostQuery:
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data:
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query: Query
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scoreBoost: float
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# Sorted fields queries
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# =====================
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# Query that matches an int point field, from "min", to "max"
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IntPointRangeQuery:
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data:
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field: String
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min: int
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max: int
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# Query that matches an int point field, from "min", to "max"
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IntNDPointRangeQuery:
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data:
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field: String
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min: int[]
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max: int[]
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# Query that matches a long point field, from "min", to "max"
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LongPointRangeQuery:
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data:
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field: String
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min: long
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max: long
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# Query that matches a float point field, from "min", to "max"
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FloatPointRangeQuery:
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data:
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field: String
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min: float
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max: float
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# Query that matches a double point field, from "min", to "max"
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DoublePointRangeQuery:
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data:
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field: String
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min: double
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max: double
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# Query that matches a long point field, from "min", to "max"
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LongNDPointRangeQuery:
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data:
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field: String
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min: long[]
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max: long[]
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# Query that matches a float point field, from "min", to "max"
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FloatNDPointRangeQuery:
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data:
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field: String
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min: float[]
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max: float[]
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# Query that matches a double point field, from "min", to "max"
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DoubleNDPointRangeQuery:
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data:
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field: String
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min: double[]
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max: double[]
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# Query that matches an int point field
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IntPointExactQuery:
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data:
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field: String
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value: int
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# Query that matches an int point field
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IntNDPointExactQuery:
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data:
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field: String
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value: int[]
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# Query that matches a long point field
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LongPointExactQuery:
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data:
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field: String
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value: long
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# Query that matches a float point field
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FloatPointExactQuery:
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data:
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field: String
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value: float
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# Query that matches a double point field
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DoublePointExactQuery:
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data:
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field: String
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value: double
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# Query that matches a long point field
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LongNDPointExactQuery:
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data:
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field: String
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value: long[]
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# Query that matches a float point field
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FloatNDPointExactQuery:
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data:
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field: String
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value: float[]
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# Query that matches a double point field
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DoubleNDPointExactQuery:
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data:
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field: String
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value: double[]
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# Query that matches a set of int point field
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IntPointSetQuery:
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data:
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field: String
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values: int[]
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# Query that matches a set of long point field
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LongPointSetQuery:
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data:
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field: String
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values: long[]
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# Query that matches a set of float point field
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FloatPointSetQuery:
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data:
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field: String
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values: float[]
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# Query that matches a set of double point field
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DoublePointSetQuery:
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data:
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field: String
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values: double[]
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# Extra data used for parameters and the client
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# =============================================
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# Query parameters
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QueryParams:
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data:
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query: Query
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offset: long
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limit: long
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sort: Sort
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computePreciseHitsCount: boolean
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timeoutMilliseconds: long
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NoSort:
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data: { }
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NumericSort:
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data:
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field: String
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reverse: boolean
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RandomSort:
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data: { }
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ScoreSort:
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data: { }
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DocSort:
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data: { }
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TotalHitsCount:
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stringRepresenter: "it.cavallium.dbengine.lucene.LuceneUtils.toHumanReadableString"
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data:
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value: long
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exact: boolean
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