CavalliumDBEngine/src/main/data-generator/lucene-query.yaml

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