mirror of https://github.com/milvus-io/milvus.git
[skip ci]Add basic_types.md document for segcore (#8116)
Signed-off-by: xiaofan-luan <xiaofan.luan@zilliz.com>pull/8117/head
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# Glossary
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- `Collection`: Data table, contains multiple Segments
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- `Segment`: The memory structure for storing a piece of data supports concurrent insertion, deletion, query, index loading, monitoring and statistics
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- `Schema`: Definition of collection data format, including
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- `vector<FieldMeta>`, Order list of FieldMeta
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- `isAutoId`. if set to True , default primary field is `RowId` and it is auto generated
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- `primaryKey` (when `isAutoId = False`), specify primary key field
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- `FieldMeta`: field properties, including
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- `DataType` data type, including Int8...Int64, Float, Double, FloatVector, BinaryVector and String later
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- `Dim` (when dataType is vector type): vector dimension
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- `metric_type` (when dataType is vector type, optional): (when datatype is vector type, optional): the metrictype corresponding to this vector is related to the small batch index and can be empty
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- `FieldName`: column name
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- `FieldId`: unique number of the column
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- (hidden) `FieldOffset`, which is the subscript of `vector<Field>` in the schema. The internal calculation of segcore is basically based on fieldoffset
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- `Span` is similar to STD:: span, It supports vector type data and can be implicitly converted to `SpanBase` for interface overwrite
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