cts.fieldRangeQuery( field-name as String[], operator as String, value as any[], [options as String[]], [weight as Number?] ) as cts.fieldRangeQuery
Returns a cts:query
matching fields by name with a
range-index entry equal to a given value. Searches with the
cts:field-range-query
constructor require a field range index on the specified field name(s);
if there is no range index configured, then an exception is thrown.
If you want to constrain on a range of values, you can combine multiple
cts:field-range-query
constructors together
with cts:and-query
or any of the other composable
cts:query
constructors.
If neither "cached" nor "uncached" is present, it specifies "cached".
The "cached-incremental" option can improve performance if you repeatedly perform range queries on date or dateTime values over a short range that does not vary widely over short period of time. To benefit, the operator should remain the same "direction" (<,<=, or >,>=) across calls, the bounding date or dateTime changes slightly across calls, and the query runs very frequently (multiple times per minute). Note that using this options creates significantly more cached queries than the "cached" option.
The "cached-incremental" option has the following restrictions and interactions: The "min-occurs" and "max-occurs" options will be ignored if you use "cached-incremental" in unfiltered search. You can only use "score-function=zero" with "cached-incremental". The "cached-incremenal" option behaves like "cached" if you are not querying date or dateTime values.
Negative "min-occurs" or "max-occurs" values will be treated as 0 and non-integral values will be rounded down. An error will be raised if the "min-occurs" value is greater than the "max-occurs" value.
"score-function=linear" means that values that are further away from the bounds will score higher. "score-function=reciprocal" means that values that are closer to the bounds will score higher. The functions are scaled appropriately for different types, so that in general the default slope factor will provide useful results. Using a slope factor greater than 1 gives distinct scores over a smaller range of values, and produces generally higher scores. Using a slope factor less than 1 gives distinct scores over a wider range of values, and produces generally lower scores.
// Requires a field named "aname" that includes name and excludes mname // and a field range index of type xs:string on the field. // // Insert few documents with test data declareUpdate(); const content1 = xdmp.unquote( '<name><fname>John</fname><mname>Rob</mname><lname>Goldings</lname></name>'); const content2 = xdmp.unquote( '<name><fname>Jim</fname><mname>Ken</mname><lname>Kurla</lname></name>'); const content3 = xdmp.unquote( '<name><fname>Ooi</fname><mname>Ben</mname><lname>Fu</lname></name>'); const content4 = xdmp.unquote( '<name><fname>James</fname><mname>Rick</mname><lname>Tod</lname></name>'); xdmp.documentInsert("/aname1.xml", content1); xdmp.documentInsert("/aname2.xml", content2); xdmp.documentInsert("/aname3.xml", content3); xdmp.documentInsert("/aname4.xml", content4); ****** // requires a field range index of // type xs:string on field "aname" cts.search(cts.fieldRangeQuery("aname",">","Jim Kurla")); => <?xml version="1.0" encoding="UTF-8"?> <name> <fname>John</fname> <mname>Rob</mname> <lname>Goldings</lname> </name> <?xml version="1.0" encoding="UTF-8"?> <name> <fname>Ooi</fname> <mname>Ben</mname> <lname>Fu</lname> </name>
Stack Overflow: Get the most useful answers to questions from the MarkLogic community, or ask your own question.