该 功能用于在集合中搜索文档，类似于 SQL 数据库的SELECT语句。它采用搜索条件字符串 ( SearchConditionStr ) 作为参数来指定应从数据库返回的文档。该函数触发操作的实际执行。 find(SearchConditionStr)execute()find()

SearchConditionStr可以采用以下形式之一 ：

fields()、 sort() 、skip()和 等几种方法limit()可以链接到find()函数以进一步优化结果。例如：

myColl.find("Name LIKE 'Austra%'").fields("Code")
myColl.find("geography.Continent LIKE 'A%'").limit(10)

bind()还支持 使用参数绑定。以下示例说明了 bind()with的用法find()：

MySQL 外壳 JavaScript 代码

// Use the collection 'my_collection'
var myColl = db.getCollection('my_collection');

// Find a single document that has a field 'name' that starts with 'L'
var docs = myColl.find('name like :param').
            limit(1).bind('param', 'L%').execute();

print(docs.fetchOne());

// Get all documents with a field 'name' that starts with 'L'
docs = myColl.find('name like :param').
        bind('param','L%').execute();

var myDoc;
while (myDoc = docs.fetchOne()) {
  print(myDoc);
}

MySQL 外壳 Python 代码

# Use the collection 'my_collection'
myColl = db.get_collection('my_collection')

# Find a single document that has a field 'name' that starts with 'L'
docs = myColl.find('name like :param').limit(1).bind('param', 'L%').execute()

print(docs.fetch_one())

# Get all documents with a field 'name' that starts with 'L'
docs = myColl.find('name like :param').bind('param','L%').execute()

myDoc = docs.fetch_one()
while myDoc:
  print(myDoc)
  myDoc = docs.fetch_one()

Node.js JavaScript 代码

// Use the collection 'my_collection'
var myColl = db.getCollection('my_collection');

// Find a single document that has a field 'name' that starts with 'L'
myColl
  .find('name like :name')
  .bind('name', 'L%')
  .limit(1)
  .execute(function (doc) {
    console.log(doc);
  })
  .then(function () {
    // handle details
  });

// Get all documents with a field 'name' that starts with 'L'
myColl
  .find('name like :name')
  .bind('name', 'L%')
  .execute(function (doc) {
    console.log(doc);
  })
  .then(function () {
    // handle details
  });

C#代码

// Use the collection "my_collection"
var myColl = db.GetCollection("my_collection");

// Find a single document that has a field "name" that starts with "L"
var docs = myColl.Find("name like :param")
.Limit(1).Bind("param", "L%").Execute();

Console.WriteLine(docs.FetchOne());

// Get all documents with a field "name" that starts with "L"
docs = myColl.Find("name like :param")
.Bind("param", "L%").Execute();

while (docs.Next())
{
    Console.WriteLine(docs.Current);
}

Python代码

# Use the collection 'my_collection'
my_coll = my_schema.get_collection('my_collection')

# Find a single document that has a field 'name' that starts with 'L'
docs = my_coll.find('name like :param').limit(1).bind('param', 'L%').execute()

print(docs.fetch_one())

# Get all documents with a field 'name' that starts with 'L'
docs = my_coll.find('name like :param').bind('param', 'L%').execute()

doc = docs.fetch_one()
print(doc)

Java代码

// Use the collection 'my_collection'
Collection myColl = db.getCollection("my_collection");

// Find a single document that has a field 'name' that starts with 'L'
DocResult docs = myColl.find("name like :name").bind("name", "L%").execute();

System.out.println(docs.fetchOne());

// Get all documents with a field 'name' that starts with 'L'
docs = myColl.find("name like :name").bind("name", "L%").execute();

while (docs.hasNext()) {
    DbDoc myDoc = docs.next();
    System.out.println(myDoc);
}

C++代码

// Use the collection 'my_collection'
Collection myColl = db.getCollection("my_collection");

// Find a single document that has a field 'name' that starts with 'L'
DocResult docs = myColl.find("name like :param")
                       .limit(1).bind("param", "L%").execute();

cout << docs.fetchOne() << endl;

// Get all documents with a field 'name' that starts with 'L'
docs = myColl.find("name like :param")
             .bind("param","L%").execute();

DbDoc myDoc;
while ((myDoc = docs.fetchOne()))
{
  cout << myDoc << endl;
}

另请参阅CollectionFindFunction了解 EBNF 中的语法find()。