Reputation: 1179
I have a cts:query
and I would like to restrict my cts:query
to search only some xml elements . Is this possible without creating any field indexes or modifying my cts:query
, as my cts:query
is very big .. when I do this
cts:search((
//es:raw/wos_dps:REC/wos_dps:static_data/wos_dps:summary/wos_dps:titles/wos_dps:title,
//es:raw/wos_dps:REC/wos_dps:static_data/ wos_dps:fullrecord_metadata/ wos_dps:abstracts/ wos_dps:abstract
)
,
$q,
('unfiltered'))[1 to 10]
where $q
is my cts:query
like below example. I get expression is unsearchable .. How to achieve this ?.. just to complete my code, following is my cts:query
, below is just a sample, it much bigger cts:query
:)
cts:and-query(
(
cts:or-query(
(
cts:near-query(
(
cts:or-query((
cts:word-query("Guideline", ("case-insensitive", "punctuation-insensitive", "whitespace-insensitive", "wildcarded")),
cts:word-query("guidelines", ("case-insensitive", "punctuation-insensitive", "whitespace-insensitive", "wildcarded"))
)
)
,
cts:or-query((
cts:word-query("clinical", ("case-insensitive", "punctuation-insensitive", "whitespace-insensitive", "wildcarded")),
cts:word-query("practice", ("case-insensitive", "punctuation-insensitive", "whitespace-insensitive", "wildcarded")),
cts:word-query("adherence", ("case-insensitive", "punctuation-insensitive", "whitespace-insensitive", "wildcarded"))
)
)
)
,
4,
('unordered'))
,
cts:near-query((
cts:word-query("phase", ("case-insensitive", "wildcarded")),
cts:or-query((
cts:word-query("0", ("case-insensitive", "wildcarded")),
cts:word-query("1", ("case-insensitive", "wildcarded")),
cts:word-query("2", ("case-insensitive", "wildcarded")),
cts:word-query("3", ("case-insensitive", "wildcarded")),
cts:word-query("4", ("case-insensitive", "wildcarded")),
cts:word-query("i", ("case-insensitive", "wildcarded")),
cts:word-query("ii", ("case-insensitive", "wildcarded")),
cts:word-query("iii", ("case-insensitive", "wildcarded")),
cts:word-query("iv", ("case-insensitive", "wildcarded"))
)))
,
0,
('unordered')),
cts:near-query((
cts:or-query((
cts:word-query("phase2*", ("case-insensitive", "wildcarded")),
cts:word-query("phase1*", ("case-insensitive", "wildcarded")),
cts:word-query("phase0*", ("case-insensitive", "wildcarded")),
cts:word-query("phase4*", ("case-insensitive", "wildcarded")),
cts:word-query("phase3*", ("case-insensitive", "wildcarded")),
cts:word-query("phasei*", ("case-insensitive", "wildcarded")),
cts:word-query("phaseii*", ("case-insensitive", "wildcarded")),
cts:word-query("phaseiii*", ("case-insensitive", "wildcarded")),
cts:word-query("phaseiv*", ("case-insensitive", "wildcarded"))
)),
cts:or-query((
cts:word-query("trail*", ("case-insensitive", "wildcarded")),
cts:word-query("study", ("case-insensitive", "wildcarded")),
cts:word-query("studies*", ("case-insensitive", "wildcarded"))
))
),
1,
('unordered')),
)
),
cts:collection-query(("http://xxxx/entity/wos/article")),
cts:element-attribute-value-query((xs:QName(xs:QName("wos_dps:pub_info"))),
(xs:QName("wos_dps:pubyear")),
"2017")
)
,
("unordered"))
Upvotes: 0
Views: 53
Reputation: 3609
To answer your core question, you can use cts:element-query to restrict a query to a specific element.
Your query has a lot of room for optimization. I don't expect it would scale against large data sets. I highly recommend you have any MarkLogic resources you are in contact with take a look what you're trying to do and evaluate your approach.
Upvotes: 4