我有以下文档结构。
{
"_id" : { "teacherId" : "<teacherId>", "Year" : "<Year>" },
"groups" : [ {
"groupId" : "<uuid>",
"groupName" : "<name>",
"groupNameLowerCase" : "<name_in_lower_case>",
"description" : "<desc>",
"students" : ["<studentid1>", "<studentid2>", ...],
"editedDate" : "<currentTimestamp>"
},
...
],
"editedDate" : "<currentTimestamp>",
"points" : "<points>"
}
考虑以下两个文档存在于数据库中
{
"_id" : { "teacherId" : "1", "Year" : "2016" },
"groups" : [ {
"groupId" : "123",
"groupName" : "Test1",
"groupNameLowerCase" : "test1",
"description" : "sample document",
"students" : ["11", "22"]
},
{
"groupId" : "234",
"groupName" : "Test2",
"groupNameLowerCase" : "test2",
"description" : "sample document",
"students" : ["11", "22"]
},
{
"groupId" : "345",
"groupName" : "Test3",
"groupNameLowerCase" : "test3",
"description" : "sample document",
"students" : ["21", "32"]
}
],
"points" : "650"
}
{
"_id" : { "teacherId" : "1", "Year" : "2015" },
"groups" : [ {
"groupId" : "123",
"groupName" : "HOCKEY",
"groupNameLowerCase" : "HOCKEY",
"description" : "HOCKEY team",
"students" : ["11", "22"]
},
{
"groupId" : "234",
"groupName" : "football",
"groupNameLowerCase" : "football",
"description" : "sample football",
"students" : ["11", "22"]
},
{
"groupId" : "345",
"groupName" : "Test3",
"groupNameLowerCase" : "test3",
"description" : "sample document",
"students" : ["21", "32"]
}
],
"points" : "650"
我想为指定的学生和教师组合选择组。例如,如果我提供teacherid= 1 和student id =11,那么查询应该返回两个具有匹配组的文档。我写了下面的代码来获取文档中的匹配组。但后来我明白 elemMatch 只会返回第一个元素匹配。它将返回两个文档,但其中只有一个组。
在这里,我想了解 Mongodb 2.4 中可用的选项来过滤某些查询返回的文档中的数组。
String teacherId = "1";
String studentId = "11";
Criteria documentSearchCriteria = where("_id.teacherId").is(teacherId)
.and("groups")
.elemMatch(where("students").in(studentId));
Criteria groupFilterCriteria = where("groups").elemMatch(where("students").in(studentBid));
BasicQuery query = new BasicQuery(documentSearchCriteria.getCriteriaObject(), groupFilterCriteria.getCriteriaObject());
List<GroupsDocument> groupsDocumentList = groupsMongoTemplate.find(query, GroupsDocument.class);