pandagg.node.mappings.field_datatypes module

https://www.elastic.co/guide/en/elasticsearch/reference/current/mapping-types.html

class pandagg.node.mappings.field_datatypes.Alias(**body)

Bases: pandagg.node.mappings.abstract.RegularField

Defines an alias to an existing field.

KEY = 'alias'

class pandagg.node.mappings.field_datatypes.Binary(**body)

Bases: pandagg.node.mappings.abstract.RegularField

KEY = 'binary'

class pandagg.node.mappings.field_datatypes.Boolean(**body)

Bases: pandagg.node.mappings.abstract.RegularField

KEY = 'boolean'

class pandagg.node.mappings.field_datatypes.Byte(**body)

Bases: pandagg.node.mappings.abstract.RegularField

KEY = 'byte'

class pandagg.node.mappings.field_datatypes.Completion(**body)

Bases: pandagg.node.mappings.abstract.RegularField

To provide auto-complete suggestions

KEY = 'completion'

class pandagg.node.mappings.field_datatypes.ConstantKeyword(**body)

Bases: pandagg.node.mappings.abstract.RegularField

KEY = 'constant_keyword'

class pandagg.node.mappings.field_datatypes.Date(**body)

Bases: pandagg.node.mappings.abstract.RegularField

KEY = 'date'

class pandagg.node.mappings.field_datatypes.DateNanos(**body)

Bases: pandagg.node.mappings.abstract.RegularField

KEY = 'date_nanos'

class pandagg.node.mappings.field_datatypes.DateRange(**body)

Bases: pandagg.node.mappings.abstract.RegularField

KEY = 'date_range'

class pandagg.node.mappings.field_datatypes.DenseVector(**body)

Bases: pandagg.node.mappings.abstract.RegularField

Record dense vectors of float values.

KEY = 'dense_vector'

class pandagg.node.mappings.field_datatypes.Double(**body)

Bases: pandagg.node.mappings.abstract.RegularField

KEY = 'double'

class pandagg.node.mappings.field_datatypes.DoubleRange(**body)

Bases: pandagg.node.mappings.abstract.RegularField

KEY = 'double_range'

class pandagg.node.mappings.field_datatypes.Flattened(**body)

Bases: pandagg.node.mappings.abstract.RegularField

Allows an entire JSON object to be indexed as a single field.

KEY = 'flattened'

class pandagg.node.mappings.field_datatypes.Float(**body)

Bases: pandagg.node.mappings.abstract.RegularField

KEY = 'float'

class pandagg.node.mappings.field_datatypes.FloatRange(**body)

Bases: pandagg.node.mappings.abstract.RegularField

KEY = 'float_range'

class pandagg.node.mappings.field_datatypes.GeoPoint(**body)

Bases: pandagg.node.mappings.abstract.RegularField

For lat/lon points

KEY = 'geo_point'

class pandagg.node.mappings.field_datatypes.GeoShape(**body)

Bases: pandagg.node.mappings.abstract.RegularField

For complex shapes like polygons

KEY = 'geo_shape'

class pandagg.node.mappings.field_datatypes.HalfFloat(**body)

Bases: pandagg.node.mappings.abstract.RegularField

KEY = 'half_float'

class pandagg.node.mappings.field_datatypes.Histogram(**body)

Bases: pandagg.node.mappings.abstract.RegularField

For pre-aggregated numerical values for percentiles aggregations.

KEY = 'histogram'

class pandagg.node.mappings.field_datatypes.IP(**body)

Bases: pandagg.node.mappings.abstract.RegularField

for IPv4 and IPv6 addresses

KEY = 'ip'

class pandagg.node.mappings.field_datatypes.Integer(**body)

Bases: pandagg.node.mappings.abstract.RegularField

KEY = 'integer'

class pandagg.node.mappings.field_datatypes.IntegerRange(**body)

Bases: pandagg.node.mappings.abstract.RegularField

KEY = 'integer_range'

class pandagg.node.mappings.field_datatypes.IpRange(**body)

Bases: pandagg.node.mappings.abstract.RegularField

KEY = 'ip_range'

class pandagg.node.mappings.field_datatypes.Join(**body)

Bases: pandagg.node.mappings.abstract.RegularField

Defines parent/child relation for documents within the same index

KEY = 'join'

class pandagg.node.mappings.field_datatypes.Keyword(**body)

Bases: pandagg.node.mappings.abstract.RegularField

KEY = 'keyword'

class pandagg.node.mappings.field_datatypes.Long(**body)

Bases: pandagg.node.mappings.abstract.RegularField

KEY = 'long'

class pandagg.node.mappings.field_datatypes.LongRange(**body)

Bases: pandagg.node.mappings.abstract.RegularField

KEY = 'long_range'

class pandagg.node.mappings.field_datatypes.MapperAnnotatedText(**body)

Bases: pandagg.node.mappings.abstract.RegularField

To index text containing special markup (typically used for identifying named entities)

KEY = 'annotated-text'

class pandagg.node.mappings.field_datatypes.MapperMurMur3(**body)

Bases: pandagg.node.mappings.abstract.RegularField

To compute hashes of values at index-time and store them in the index

KEY = 'murmur3'

class pandagg.node.mappings.field_datatypes.Nested(properties: Optional[Union[Dict, Type[DocumentSource]]] = None, **body)

Bases: pandagg.node.mappings.abstract.ComplexField

KEY = 'nested'

class pandagg.node.mappings.field_datatypes.Object(properties: Optional[Union[Dict, Type[DocumentSource]]] = None, **body)

Bases: pandagg.node.mappings.abstract.ComplexField

KEY = 'object'

class pandagg.node.mappings.field_datatypes.Percolator(**body)

Bases: pandagg.node.mappings.abstract.RegularField

Accepts queries from the query-dsl

KEY = 'percolator'

class pandagg.node.mappings.field_datatypes.RankFeature(**body)

Bases: pandagg.node.mappings.abstract.RegularField

Record numeric feature to boost hits at query time.

KEY = 'rank_feature'

class pandagg.node.mappings.field_datatypes.RankFeatures(**body)

Bases: pandagg.node.mappings.abstract.RegularField

Record numeric features to boost hits at query time.

KEY = 'rank_features'

class pandagg.node.mappings.field_datatypes.ScaledFloat(**body)

Bases: pandagg.node.mappings.abstract.RegularField

KEY = 'scaled_float'

class pandagg.node.mappings.field_datatypes.SearchAsYouType(**body)

Bases: pandagg.node.mappings.abstract.RegularField

A text-like field optimized for queries to implement as-you-type completion

KEY = 'search_as_you_type'

class pandagg.node.mappings.field_datatypes.Shape(**body)

Bases: pandagg.node.mappings.abstract.RegularField

For arbitrary cartesian geometries.

KEY = 'shape'

class pandagg.node.mappings.field_datatypes.Short(**body)

Bases: pandagg.node.mappings.abstract.RegularField

KEY = 'short'

class pandagg.node.mappings.field_datatypes.SparseVector(**body)

Bases: pandagg.node.mappings.abstract.RegularField

Record sparse vectors of float values.

KEY = 'sparse_vector'

class pandagg.node.mappings.field_datatypes.Text(**body)

Bases: pandagg.node.mappings.abstract.RegularField

KEY = 'text'

class pandagg.node.mappings.field_datatypes.TokenCount(**body)

Bases: pandagg.node.mappings.abstract.RegularField

To count the number of tokens in a string

KEY = 'token_count'

class pandagg.node.mappings.field_datatypes.WildCard(**body)

Bases: pandagg.node.mappings.abstract.RegularField

KEY = 'wildcard'