Query Documents查询文档

To select all documents in the collection, pass an empty document as the query filter parameter to the find method. The query filter parameter determines the select criteria:要选择集合中的所有文档，请将一个空文档作为查询筛选器参数传递给find方法。查询筛选器参数确定选择条件：

To select all documents in the collection, pass an empty document as the query filter parameter to the query bar. 要选择集合中的所有文档，请将一个空文档作为查询筛选器参数传递给查询栏。The query filter parameter determines the select criteria:查询筛选器参数确定选择条件：

To select all documents in the collection, pass an empty document as the query filter parameter to the find method. The query filter parameter determines the select criteria:

To select all documents in the collection, pass an empty document as the query filter parameter to the find method. The query filter parameter determines the select criteria:

To select all documents in the collection, pass an empty document as the query filter parameter to the find method. The query filter parameter determines the select criteria:

To select all documents in the collection, pass an empty document as the query filter parameter to the find method. The query filter parameter determines the select criteria:

To select all documents in the collection, pass an empty document as the query filter parameter to the find method. The query filter parameter determines the select criteria:

To select all documents in the collection, pass an empty document as the query filter parameter to the find method. The query filter parameter determines the select criteria:

To select all documents in the collection, pass an empty document as the query filter parameter to the find method. The query filter parameter determines the select criteria:

To select all documents in the collection, pass an empty document as the query filter parameter to the find method. The query filter parameter determines the select criteria:要选择集合中的所有文档，请将一个空文档作为查询筛选器参数传递给find方法。查询筛选器参数确定选择条件：

To select all documents in the collection, pass an empty document as the query filter parameter to the find method. The query filter parameter determines the select criteria:

To select all documents in the collection, pass an empty document as the query filter parameter to the find method. The query filter parameter determines the select criteria:

To select all documents in the collection, pass an empty document as the query filter parameter to the find method. The query filter parameter determines the select criteria:

To select all documents in the collection, pass an empty document as the query filter parameter to the find method. The query filter parameter determines the select criteria:

db.inventory.find( {} )

mongoc_collection_t *collection;
bson_t *filter;
mongoc_cursor_t *cursor;

collection = mongoc_database_get_collection (db, "inventory");
filter = BCON_NEW (NULL);
cursor = mongoc_collection_find_with_opts (collection, filter, NULL, NULL);

Be sure to also clean up any open resources by calling the following methods, as appropriate:

• bson_destroy
• mongoc_bulk_operation_destroy
• mongoc_collection_destroy
• mongoc_cursor_destroy,

var filter = Builders<BsonDocument>.Filter.Empty;
var result = collection.Find(filter).ToList();

cursor, err := coll.Find(
	context.TODO(),
	bson.D{},
)

FindPublisher<Document> findPublisher = collection.find(new Document());

FindIterable<Document> findIterable = collection.find(new Document());

val flowInsertMany = collection
    .find(empty())

cursor = db.inventory.find({})

const cursor = db.collection('inventory').find({});

$cursor = $db->inventory->find([]);

cursor = db.inventory.find({})

client[:inventory].find({})

var findObservable = collection.find(Document())

For more information on the syntax of the method, see find().

For more information on the MongoDB Compass query bar, see Query Bar.

For more information on the syntax of the method, see mongoc_collection_find_with_opts.

For more information on the syntax of the method, see Find().

For more information on the syntax of the method, see com.mongodb.reactivestreams.client.MongoCollection.find.

For more information on the syntax of the method, see com.mongodb.client.MongoCollection.find.

For more information on the syntax of the method, see MongoCollection.find().

To see supported options for the find() method, see find().

For more information on the syntax of the method, see find().

For more information on the syntax of the method, see find.

For more information on the syntax of the method, see find().

For more information on the syntax of the method, see collection.find().

To specify equality conditions, use <field>:<value> expressions in the query filter document:

{ <field1>: <value1>, ... }

To specify equality conditions, use <field>:<value> expressions in the query filter document:

{ <field1>: <value1>, ... }

To specify equality conditions, use <field>:<value> expressions in the query filter document:

{ <field1>: <value1>, ... }

To specify equality conditions, construct a filter using the Eq method:

Builders<BsonDocument>.Filter.Eq(<field>, <value>);

To specify equality conditions, use the com.mongodb.client.model.Filters.eq method to create the query filter document:

and(eq(<field1>, <value1>), eq(<field2>, <value2>) ...)

To specify equality conditions, use the com.mongodb.client.model.Filters.eq_ method to create the query filter document:

and(eq(<field1>, <value1>), eq(<field2>, <value2>) ...)

To specify equality conditions, use the Filters.eq() method to create the query filter document:

and(eq(<field1>, <value1>), eq(<field2>, <value2>) ...)

To specify equality conditions, use <field>:<value> expressions in the query filter document:

{ <field1>: <value1>, ... }

To specify equality conditions, use <field>:<value> expressions in the query filter document:

{ <field1>: <value1>, ... }

To specify equality conditions, use <field> => <value> expressions in the query filter document:

[ <field1> => <value1>, ... ]

To specify equality conditions, use <field>:<value> expressions in the query filter document:

{ <field1>: <value1>, ... }

To specify equality conditions, use <field> => <value> expressions in the query filter document:

{ <field1> => <value1>, ... }

To specify equality conditions, use the com.mongodb.client.model.Filters.eq_ method to create the query filter document:

and(equal(<field1>, <value1>), equal(<field2>, <value2>) ...)

db.inventory.find( { status: "D" } )

Copy the following filter into the Compass query bar and click Find:

{ status: "D" }

mongoc_collection_t *collection;
bson_t *filter;
mongoc_cursor_t *cursor;

collection = mongoc_database_get_collection (db, "inventory");
filter = BCON_NEW ("status", BCON_UTF8 ("D"));
cursor = mongoc_collection_find_with_opts (collection, filter, NULL, NULL);

var filter = Builders<BsonDocument>.Filter.Eq("status", "D");
var result = collection.Find(filter).ToList();

cursor, err := coll.Find(
	context.TODO(),
	bson.D{{"status", "D"}},
)

findPublisher = collection.find(eq("status", "D"));

findIterable = collection.find(eq("status", "D"));

val findFlow = collection
    .find(eq("status", "D"))

cursor = db.inventory.find({"status": "D"})

const cursor = db.collection('inventory').find({ status: 'D' });

$cursor = $db->inventory->find(['status' => 'D']);

cursor = db.inventory.find({"status": "D"})

client[:inventory].find(status: 'D')

findObservable = collection.find(equal("status", "D"))

A query filter document can use the query operators to specify conditions in the following form:

{ <field1>: { <operator1>: <value1> }, ... }

A query filter document can use the query operators to specify conditions in the following form:

{ <field1>: { <operator1>: <value1> }, ... }

A query filter document can use the query operators to specify conditions in the following form:

{ <field1>: { <operator1>: <value1> }, ... }

In addition to the equality filter, MongoDB provides various query operators to specify filter conditions. Use the FilterDefinitionBuilder methods to create a filter document. For example:

var builder = Builders<BsonDocument>.Filter;
builder.And(builder.Eq(<field1>, <value1>), builder.Lt(<field2>, <value2>));

In addition to the equality filter, MongoDB provides various query operators to specify filter conditions. Use the bson package to create query operators for filter documents. For example:

filter := bson.D{
    {"$and", bson.A{
        bson.D{{"field1", bson.D{{"$eq", value1}}}},
        bson.D{{"field2", bson.D{{"$lt", value2}}}},
    }},
}

In addition to the equality condition, MongoDB provides various query operators to specify filter conditions. Use the com.mongodb.client.model.Filters helper methods to facilitate the creation of filter documents. For example:

and(gte(<field1>, <value1>), lt(<field2>, <value2>), eq(<field3>, <value3>))

In addition to the equality condition, MongoDB provides various query operators to specify filter conditions. Use the com.mongodb.client.model.Filters helper methods to facilitate the creation of filter documents. For example:

and(gte(<field1>, <value1>), lt(<field2>, <value2>), eq(<field3>, <value3>))

In addition to the equality condition, MongoDB provides various query operators to specify filter conditions. Use the com.mongodb.client.model.Filters helper methods to facilitate the creation of filter documents. For example:

and(gte(<field1>, <value1>), lt(<field2>, <value2>), eq(<field3>, <value3>))

A query filter document can use the query operators to specify conditions in the following form:

{ <field1>: { <operator1>: <value1> }, ... }

A query filter document can use the query operators to specify conditions in the following form:

{ <field1>: { <operator1>: <value1> }, ... }

A query filter document can use the query operators to specify conditions in the following form:

[ <field1> => [ <operator1> => <value1> ], ... ]

A query filter document can use the query operators to specify conditions in the following form:

{ <field1>: { <operator1>: <value1> }, ... }

A query filter document can use the query operators to specify conditions in the following form:

{ <field1> => { <operator1> => <value1> }, ... }

In addition to the equality condition, MongoDB provides various query operators to specify filter conditions. Use the com.mongodb.client.model.Filters_ helper methods to facilitate the creation of filter documents. For example:

and(gte(<field1>, <value1>), lt(<field2>, <value2>), equal(<field3>, <value3>))

db.inventory.find( { status: { $in: [ "A", "D" ] } } )

Copy the following filter into the Compass query bar and click Find:

{ status: { $in: [ "A", "D" ] } }

mongoc_collection_t *collection;
bson_t *filter;
mongoc_cursor_t *cursor;

collection = mongoc_database_get_collection (db, "inventory");
filter = BCON_NEW (
   "status", "{",
   "$in", "[",
   BCON_UTF8 ("A"), BCON_UTF8 ("D"),
   "]",
   "}");
cursor = mongoc_collection_find_with_opts (collection, filter, NULL, NULL);

var filter = Builders<BsonDocument>.Filter.In("status", new[] { "A", "D" });
var result = collection.Find(filter).ToList();

cursor, err := coll.Find(
	context.TODO(),
	bson.D{{"status", bson.D{{"$in", bson.A{"A", "D"}}}}})

findPublisher = collection.find(in("status", "A", "D"));

findIterable = collection.find(in("status", "A", "D"));

val findFlow = collection
    .find(`in`("status", "A", "D"))

cursor = db.inventory.find({"status": {"$in": ["A", "D"]}})

const cursor = db.collection('inventory').find({
  status: { $in: ['A', 'D'] }
});

$cursor = $db->inventory->find(['status' => ['$in' => ['A', 'D']]]);

cursor = db.inventory.find({"status": {"$in": ["A", "D"]}})

client[:inventory].find(status: { '$in' => [ 'A', 'D' ]})

findObservable = collection.find(in("status", "A", "D"))

db.inventory.find( { status: "A", qty: { $lt: 30 } } )

Copy the following filter into the Compass query bar and click Find:

{ status: "A", qty: { $lt: 30 } }

mongoc_collection_t *collection;
bson_t *filter;
mongoc_cursor_t *cursor;

collection = mongoc_database_get_collection (db, "inventory");
filter = BCON_NEW (
   "status", BCON_UTF8 ("A"),
   "qty", "{",
   "$lt", BCON_INT64 (30),
   "}");
cursor = mongoc_collection_find_with_opts (collection, filter, NULL, NULL);

var builder = Builders<BsonDocument>.Filter;
var filter = builder.And(builder.Eq("status", "A"), builder.Lt("qty", 30));
var result = collection.Find(filter).ToList();

cursor, err := coll.Find(
	context.TODO(),
	bson.D{
		{"status", "A"},
		{"qty", bson.D{{"$lt", 30}}},
	})

findPublisher = collection.find(and(eq("status", "A"), lt("qty", 30)));

findIterable = collection.find(and(eq("status", "A"), lt("qty", 30)));

val findFlow = collection
    .find(and(eq("status", "A"), lt("qty", 30)))

cursor = db.inventory.find({"status": "A", "qty": {"$lt": 30}})

const cursor = db.collection('inventory').find({
  status: 'A',
  qty: { $lt: 30 }
});

$cursor = $db->inventory->find([
    'status' => 'A',
    'qty' => ['$lt' => 30],
]);

cursor = db.inventory.find({"status": "A", "qty": {"$lt": 30}})

client[:inventory].find(status: 'A', qty: { '$lt' => 30 })

findObservable = collection.find(and(equal("status", "A"), lt("qty", 30)))

db.inventory.find( { $or: [ { status: "A" }, { qty: { $lt: 30 } } ] } )

Copy the following filter into the Compass query bar and click Find:

{ $or: [ { status: "A" }, { qty: { $lt: 30 } } ] }

mongoc_collection_t *collection;
bson_t *filter;
mongoc_cursor_t *cursor;

collection = mongoc_database_get_collection (db, "inventory");
filter = BCON_NEW (
   "$or", "[",
   "{",
   "status", BCON_UTF8 ("A"),
   "}","{",
   "qty", "{",
   "$lt", BCON_INT64 (30),
   "}",
   "}",
   "]");
cursor = mongoc_collection_find_with_opts (collection, filter, NULL, NULL);

var builder = Builders<BsonDocument>.Filter;
var filter = builder.Or(builder.Eq("status", "A"), builder.Lt("qty", 30));
var result = collection.Find(filter).ToList();

cursor, err := coll.Find(
	context.TODO(),
	bson.D{
		{"$or",
			bson.A{
				bson.D{{"status", "A"}},
				bson.D{{"qty", bson.D{{"$lt", 30}}}},
			}},
	})

findPublisher = collection.find(or(eq("status", "A"), lt("qty", 30)));

findIterable = collection.find(or(eq("status", "A"), lt("qty", 30)));

val findFlow = collection
    .find(or(eq("status", "A"), lt("qty", 30)))

cursor = db.inventory.find({"$or": [{"status": "A"}, {"qty": {"$lt": 30}}]})

const cursor = db.collection('inventory').find({
  $or: [{ status: 'A' }, { qty: { $lt: 30 } }]
});

$cursor = $db->inventory->find([
    '$or' => [
        ['status' => 'A'],
        ['qty' => ['$lt' => 30]],
    ],
]);

cursor = db.inventory.find({"$or": [{"status": "A"}, {"qty": {"$lt": 30}}]})

client[:inventory].find('$or' => [{ status: 'A' },
                                  { qty: { '$lt' => 30 } }
                                 ])

findObservable = collection.find(or(equal("status", "A"), lt("qty", 30)))

db.inventory.find( {
     status: "A",
     $or: [ { qty: { $lt: 30 } }, { item: /^p/ } ]
} )

Copy the following filter into the Compass query bar and click Find:

{ status: "A", $or: [ { qty: { $lt: 30 } }, { item: /^p/ } ] }

mongoc_collection_t *collection;
bson_t *filter;
mongoc_cursor_t *cursor;

collection = mongoc_database_get_collection (db, "inventory");
filter = BCON_NEW (
   "status", BCON_UTF8 ("A"),
   "$or", "[",
   "{",
   "qty", "{",
   "$lt", BCON_INT64 (30),
   "}",
   "}","{",
   "item", BCON_REGEX ("^p", ""),
   "}",
   "]");
cursor = mongoc_collection_find_with_opts (collection, filter, NULL, NULL);

var builder = Builders<BsonDocument>.Filter;
var filter = builder.And(
    builder.Eq("status", "A"),
    builder.Or(builder.Lt("qty", 30), builder.Regex("item", new BsonRegularExpression("^p"))));
var result = collection.Find(filter).ToList();

cursor, err := coll.Find(
	context.TODO(),
	bson.D{
		{"status", "A"},
		{"$or", bson.A{
			bson.D{{"qty", bson.D{{"$lt", 30}}}},
			bson.D{{"item", bson.Regex{Pattern: "^p", Options: ""}}},
		}},
	})

findPublisher = collection.find(
        and(eq("status", "A"),
                or(lt("qty", 30), regex("item", "^p")))
);

findIterable = collection.find(
        and(eq("status", "A"),
                or(lt("qty", 30), regex("item", "^p")))
);

val findFlow = collection
    .find(
        and(eq("status", "A"),
            or(lt("qty", 30), regex("item", "^p")))
    )

cursor = db.inventory.find(
    {"status": "A", "$or": [{"qty": {"$lt": 30}}, {"item": {"$regex": "^p"}}]}
)

const cursor = db.collection('inventory').find({
  status: 'A',
  $or: [{ qty: { $lt: 30 } }, { item: { $regex: '^p' } }]
});

$cursor = $db->inventory->find([
    'status' => 'A',
    '$or' => [
        ['qty' => ['$lt' => 30]],
        // Alternatively: ['item' => new \MongoDB\BSON\Regex('^p')]
        ['item' => ['$regex' => '^p']],
    ],
]);

cursor = db.inventory.find(
    {"status": "A", "$or": [{"qty": {"$lt": 30}}, {"item": {"$regex": "^p"}}]}
)

client[:inventory].find(status: 'A',
                        '$or' => [{ qty: { '$lt' => 30 } },
                                  { item: { '$regex' => BSON::Regexp::Raw.new('^p') } }
                        ])

findObservable = collection.find(and(
  equal("status", "A"),
  or(lt("qty", 30), regex("item", "^p")))
)

The following can also read documents from a collection:以下人员也可以从集合中读取文档：

• The db.collection.findOne() methoddb.collection.findOne()方法
• The $match pipeline stage in an aggregation pipeline. The $match pipeline stage provides access to MongoDB queries聚合管道中的$match管道阶段。$match管道阶段提供对MongoDB查询的访问

In addition to filter, MongoDB Compass also allows you to pass the following options to the query bar:

The following method can also read documents from a collection:

• mongoc_find_and_modify_opts_t

The following can also read documents from a collection:

• MongoCollection.FindOne()
• In aggregation pipeline, the $match pipeline stage provides access to MongoDB queries. See the MongoDB C# driver's LINQ documentation.

The following can also read documents from a collection:以下人员也可以从集合中读取文档：

• Collection.FindOne
• In aggregation pipeline, the $match pipeline stage provides access to MongoDB queries. See Collection.Aggregate.

The following can also read documents from a collection:

• In the aggregation pipeline, the $match pipeline stage provides access to MongoDB queries. See the Java Synchronous Driver Aggregation Examples.

The following methods can also read documents from a collection:以下方法也可以从集合中读取文档：

• In an aggregation pipeline, the $match pipeline stage allows you to perform MongoDB queries. See the Kotlin Coroutine Driver Find Operation Examples to learn more.

The following can also read documents from a collection:以下人员也可以从集合中读取文档：

• Collection.findOne()
• In aggregation pipeline, the $match pipeline stage provides access to MongoDB queries. See the MongoDB Node.js Driver's aggregation tutorial.

The following can also read documents from a collection:

• MongoDB\\Collection::findOne()
• In aggregation pipeline, the $match pipeline stage provides access to MongoDB queries. See the MongoDB PHP Library's aggregation example.

The following can also read documents from a collection:

• pymongo.collection.Collection.find_one
• In an aggregation pipeline, the $match pipeline stage provides access to MongoDB queries. 在聚合管道中，$match管道阶段提供对MongoDB查询的访问。See the PyMongo Aggregation Examples.请参阅PyMongo聚合示例。

The following can also read documents from a collection:以下人员也可以从集合中读取文档：

• In aggregation pipeline, the $match pipeline stage provides access to MongoDB queries. 在聚合管道中，$match管道阶段提供对MongoDB查询的访问。See the MongoDB Ruby driver's aggregation examples.请参阅MongoDB Ruby驱动程序的聚合示例。

The following can also read documents from a collection:以下人员也可以从集合中读取文档：

• In aggregation pipeline, the $match pipeline stage provides access to MongoDB queries. 在聚合管道中，$match管道阶段提供对MongoDB查询的访问。See the MongoDB Scala driver's aggregate method.请参阅MongoDB Scala驱动程序的聚合方法。