For such evaluations, use aggregate() in MongoDB. Let us create a collection with documents −
> db.demo90.insertOne( ... {"words": ["john", "jace"] ... } ... ); { "acknowledged" : true, "insertedId" : ObjectId("5e2c1ada79799acab037af56") } > db.demo90.insertOne( ... {"words": ["sam", "adam"] ... } ... ); { "acknowledged" : true, "insertedId" : ObjectId("5e2c1adb79799acab037af57") }
Display all documents from a collection with the help of find() method −
> db.demo90.find();
This will produce the following output −
{ "_id" : ObjectId("5e2c1ada79799acab037af56"), "words" : [ "john", "jace" ] } { "_id" : ObjectId("5e2c1adb79799acab037af57"), "words" : [ "sam", "adam" ] }
Following is the query to find documents whose array contains a string that is a substring of specific word −
> db.demo90.aggregate([ { $match: { $expr: { $anyElementTrue: { $map: { input: "$words", as: "j", in: { $ne: [ -1, { $indexOfBytes: [ "john", "$$j" ] } ] } } } } } } ]);
This will produce the following output −
{ "_id" : ObjectId("5e2c1ada79799acab037af56"), "words" : [ "john", "jace" ] }