The following data types are supported in Manticore Search:
The identificator of a document in the index. Document IDs must be unique signed 64-bit integers. Document IDs are implicit and have no declaration. Update operation is forbidden on document ids.
It is the full-text field part of the index. The content of these fields is indexed and not stored in the original form. The text is passed through an analyzer pipeline that converts the text to words, applies morphology transformations etc. Full-text fields can only be used in MATCH() clause, they are not returned in the result set and cannot be used for sorting or aggregation. Words are stored in an inverted index along with references to the fields they belong and positions in the field. This allows to search a word inside each field and to use advanced operators like proximity.
Unlike full-text fields, the string attributes are stored as they are received and cannot be used in full-text searches. Instead they are returned in results, they can be used in WHERE clause for comparison filtering or REGEX and they can be used for sorting and aggregation. In general it’s recommended to not store large texts in string attributes, but use string attributes for metadata like names, titles, tags, keys.
Integer type allows 32 bit unsigned integer values. Integers can be stored in shorter sizes than 32 bit by specifying a bit count. For example if we want to store a numeric value which we know is not going to be bigger than 8, the integer can be defined as
sql_attr_uint = myattr:3
Bitcount integers perform slowly than the full size ones, but they require less RAM. The bitcount integers are saved in 32-bit chunks, to save space they should be grouped at the end of attributes definitions (otherwise a bitcount integer between 2 full-size integers will occupy 32 bits as well).
Big integers are 64-bit wide signed integers.
Timestamp allows to represent a unix timestamp which is stored as a 32-bit integer. For timestamps a family of date and time functions are available.
Real numbers can be stored as 32-bit IEEE 754 single precision floats. Unlike integer types, equal comparison of floats is forbidden due to rounding errors. A near equal can be used instead, by checking the absolute error margin:
SELECT ABS(a-b) <= 0.00001
where 0.00001 is a chosen accepted tolerance.
Another alternative, which can also be used to perform
IN(attr,val1,val2,val3) is to compare floats as integers by choosing a multiplier factor and convert the floats to integers in operations.
SELECT IN(attr,2.0,2.5,3.5) ...
can be made as
SELECT IN(CEIL(attr*100),200,250,350) ....
Allows storing JSON objects for schema-less data. JSON properties can be used in most operations and special functions like ALL(), ANY(), GREATEST(), LEAST() and INDEXOF() allow traversal of property arrays.
Text properties are treated same as strings so it’s not possible to use them in full-text matches expressions, but string functions like REGEX can be used.
In case of JSON properties, enforcing data type is required to be casted in some situations for proper functionality. For example in case of float values DOUBLE() must be used for proper sorting:
SELECT * FROM myindex ORDER BY DOUBLE (myjson.myfloat) DESC
It’s a special type that allows storing variable-length lists of 32-bit unsigned integers. It can be used to store one-to-many numeric values like tags, product categories, properties. It supports filtering and aggregation, but not sorting. Filtering can made of condition that requires at least one element to pass (using ANY()) or all (using ALL()). Information like least or greatest element and length of the list can be extracted.
Multi-value big integer¶
It’s a special type that allows storing variable-length lists of 64-bit signed integers. It has the same functionality as multi-value integer.