Reputation: 1668
I am using spring-data mongo with the JSON based query methods, and am unsure how to allow optional parameters in a search query.
For instance - say I had the following function
@Query("{ 'name' : {$regex : ?0, $options : 'i'}, 'createdDate' : {$gte : ?1, $lt : ?2 }} }")
List<MyItem> getItemsLikeNameByDateRange(String name, Date startDateRange, Date endDateRange);
-but I didnt want to apply the name regex match, or not apply a date range restriction if NULL values were passed to the method.
At the moment it looks like I might have to build the query using the mongoTemplate.
Are there any alternatives - or is using mongoTemplate the best option?
Thanks
Upvotes: 21
Views: 23845
Reputation: 6736
Filtering out parts of the query depending on the input value is not directly supported. Nevertheless it can be done using @Query
the $and
and operator and a bit of SpEL.
interface Repo extends CrudRepository<MyItem,...> {
@Query("""
{ $and : [
?#{T(com.example.Repo.QueryUtil).ifPresent([0], 'name')},
?#{T(com.example.Repo.QueryUtil).ifDateBetween([1], [2], 'startDate')},
...
]}
""")
Page<MyItem> findDataSearchParams(String name, String city, ...)
class QueryUtil {
public static Document ifPresent(Object value, String property) {
if(value == null) {
return new Document("$expr", true); // always true
}
return new Document(property, value); // eq match
}
public static Document ifDateBetween(Object value1, Object value2, String property) {
// ...
}
}
// ...
}
Instead of addressing the target function via the T(...)
Type expression writing an EvaluationContextExtension
(see: json spel for details) allows to get rid of repeating the type name over and over again.
Upvotes: 0
Reputation: 131
In addition to Archimedes's answer:
If you need the count of matched documents, replace $where
with $expr
.
@Query("{ $or : [ { $expr: { $eq: ['?0', 'null'] } } , { field : ?0 } ] }")
Page<Something> findAll(String query, Pageable pageable);
Upvotes: 3
Reputation: 41600
To implement this in Boolean logic I do the following and the conversion to operations that are available in programming languages
:query != null -> field == :query
!(:query != null) || (field == :query)
(:query == null) || (field == :query)
In plain SQL, this is done as
where (null = :query) or (field = :query)
In MongoDB this is done through the $where
{ $where: '?0 == null || this.field == ?0' }
We can speed this up a little by using Mongo Operations rather than building everything to the function at the expense of some readability. does not work unfortunately.
{ $or : [ { $where: '?0 == null' } , { field : ?0 } ] }
So what you have is
@Query("{ $or : [ { $where: '?0 == null' } , { field : ?0 } ] }")
List<Something> findAll(String query, Pageable pageable);
This can be further expanded to handle arrays for in/all clauses
@Query("{ $or : [ { $where: '?0.length == 0' } , { field : { $in : ?0 } } ] }")
List<Something> findAll(String query, Pageable pageable);
Upvotes: 31