How do you perform an AND query on an array in MongoDB?

To get the same result like AND in MongoDB, use the $all operator. Let us first create a collection with documents −

> db.andQueryDemo.insertOne({"StudentName":"Carol Taylor","FavouriteSubject":["C","Java","MongoDB","MySQL"]}); {    "acknowledged" : true,    "insertedId" : ObjectId("5cc73e7a8f9e6ff3eb0ce433") } > db.andQueryDemo.insertOne({"StudentName":"David Miller","FavouriteSubject":["C++","Java","MongoDB","SQL Server"]}); {    "acknowledged" : true,    "insertedId" : ObjectId("5cc73ea48f9e6ff3eb0ce434") } > db.andQueryDemo.insertOne({"StudentName":"Carol Taylor","FavouriteSubject":["Python","PL/SQL"]}); {    "acknowledged" : true,    "insertedId" : ObjectId("5cc73ed38f9e6ff3eb0ce435") }

Following is the query to display all documents from a collection with the help of find() method −

> db.andQueryDemo.find().pretty();

This will produce the following output −

{    "_id" : ObjectId("5cc73e7a8f9e6ff3eb0ce433"),    "StudentName" : "Carol Taylor",    "FavouriteSubject" : [       "C",       "Java",       "MongoDB",       "MySQL"    ] } {    "_id" : ObjectId("5cc73ea48f9e6ff3eb0ce434"),    "StudentName" : "David Miller",    "FavouriteSubject" : [       "C++",       "Java",       "MongoDB",       "SQL Server"    ] } {    "_id" : ObjectId("5cc73ed38f9e6ff3eb0ce435"),    "StudentName" : "Carol Taylor",    "FavouriteSubject" : [       "Python",       "PL/SQL"    ] }

Following is the query to do an AND query on an array in MongoDB with $all. Here, we are displaying the array with both “Java” and “MongoDB” as FavouriteSubject −

> db.andQueryDemo.find({FavouriteSubject:{$all:["Java","MongoDB"]}}).pretty();

This will produce the following output −

{    "_id" : ObjectId("5cc73e7a8f9e6ff3eb0ce433"),    "StudentName" : "Carol Taylor",    "FavouriteSubject" : [       "C",       "Java",       "MongoDB",       "MySQL"    ] } {    "_id" : ObjectId("5cc73ea48f9e6ff3eb0ce434"),    "StudentName" : "David Miller",    "FavouriteSubject" : [       "C++",       "Java",       "MongoDB",       "SQL Server"    ] }