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MongoDB Articles
Page 77 of 111
What should be used to implement MySQL LIKE statement in MongoDB?
To get MySQL LIKE statement, use the REGEX in MongoDB. Let us first create a collection with documents −> db.likeInMongoDBDemo.insertOne({"Name" : "Sam"}); { "acknowledged" : true, "insertedId" : ObjectId("5cd6922857806ebf1256f123") } > db.likeInMongoDBDemo.insertOne({"Name" : "John" }); { "acknowledged" : true, "insertedId" : ObjectId("5cd6923157806ebf1256f124") } > db.likeInMongoDBDemo.insertOne({"Name" : "Scott"}); { "acknowledged" : true, "insertedId" : ObjectId("5cd6924557806ebf1256f125") } > db.likeInMongoDBDemo.insertOne({"Name" : "Sean"}); { "acknowledged" : true, "insertedId" : ObjectId("5cd6924f57806ebf1256f126") } > db.likeInMongoDBDemo.insertOne({"Name" : "Samuel"}); { "acknowledged" : true, "insertedId" : ObjectId("5cd6925857806ebf1256f127") }Following is the query to display all documents from a collection with ...
Read MoreGet maximum and minimum value in MongoDB?
Use $max and $min operator along with aggregate framework to get the maximum and minimum value. Let us first create a collection with documents −> db.maxAndMinDemo.insertOne({"Value":98}); { "acknowledged" : true, "insertedId" : ObjectId("5cd698a357806ebf1256f129") } > db.maxAndMinDemo.insertOne({"Value":97}); { "acknowledged" : true, "insertedId" : ObjectId("5cd698af57806ebf1256f12a") } > db.maxAndMinDemo.insertOne({"Value":69}); { "acknowledged" : true, "insertedId" : ObjectId("5cd698b357806ebf1256f12b") } > db.maxAndMinDemo.insertOne({"Value":96}); { "acknowledged" : true, "insertedId" : ObjectId("5cd698b657806ebf1256f12c") } > db.maxAndMinDemo.insertOne({"Value":99}); { "acknowledged" : true, "insertedId" : ObjectId("5cd698b957806ebf1256f12d") }Following is the query to display all documents from a collection with the help of find() method ...
Read MoreHow to find documents with exactly the same array entries as in a MongoDB query?
For this, use the $all operator. Let us first create a collection with documents −>db.findDocumentExactlySameInArrayDemo.insertOne({"TechnicalSubjects":["C++", "Java", "MongoDB"]}); { "acknowledged" : true, "insertedId" : ObjectId("5cd69a5f57806ebf1256f12e") } >db.findDocumentExactlySameInArrayDemo.insertOne({"TechnicalSubjects":["MySQL", "Java", "MongoDB"]}); { "acknowledged" : true, "insertedId" : ObjectId("5cd69ac057806ebf1256f12f") } >db.findDocumentExactlySameInArrayDemo.insertOne({"TechnicalSubjects":["C#", "Python", "MongoDB"]}); { "acknowledged" : true, "insertedId" : ObjectId("5cd69ad457806ebf1256f130") } >db.findDocumentExactlySameInArrayDemo.insertOne({"TechnicalSubjects":["MySQL", "C", "MongoDB"]}); { "acknowledged" : true, "insertedId" : ObjectId("5cd69adf57806ebf1256f131") }Following is the query to display all documents from a collection with the help of find() method −> db.findDocumentExactlySameInArrayDemo.find().pretty();This will produce the following output −{ "_id" : ObjectId("5cd69a5f57806ebf1256f12e"), "TechnicalSubjects" : [ ...
Read MoreAdd MD5 hash value to MongoDB collection?
To add MD5 hash value, use hex_md5(). Let us first create a collection with documents −>db.addMd5HashValueDemo.insertOne({"UserName":"Adam", "UserPassword":"Adam123456"}); { "acknowledged" : true, "insertedId" : ObjectId("5cd6a4c66d78f205348bc619") } >db.addMd5HashValueDemo.insertOne({"UserName":"Chris", "UserPassword":"Chris_121#"}); { "acknowledged" : true, "insertedId" : ObjectId("5cd6a4e46d78f205348bc61a") }Following is the query to display all documents from a collection with the help of find() method −> db.addMd5HashValueDemo.find();This will produce the following output −{ "_id" : ObjectId("5cd6a4c66d78f205348bc619"), "UserName" : "Adam", "UserPassword" : "Adam123456" } { "_id" : ObjectId("5cd6a4e46d78f205348bc61a"), "UserName" : "Chris", "UserPassword" : "Chris_121#" }Following is the query to add md5 hash value to mongo collection −> db.addMd5HashValueDemo.find().forEach( function(documentPass){ documentPass.Value ...
Read MoreGetting a list of values by using MongoDB $group?
To get a list of values, use $group aggregation along with $push operator. Let us first create a collection with documents −> db.groupByDemo.insertOne({"UserName":"John", "Subject":"MongoDB"}); { "acknowledged" : true, "insertedId" : ObjectId("5cd69f0457806ebf1256f136") } > db.groupByDemo.insertOne({"UserName":"Larry", "Subject":"MySQL"}); { "acknowledged" : true, "insertedId" : ObjectId("5cd69f0657806ebf1256f137") } > db.groupByDemo.insertOne({"UserName":"John", "Subject":"Java"}); { "acknowledged" : true, "insertedId" : ObjectId("5cd69f0d57806ebf1256f138") } > db.groupByDemo.insertOne({"UserName":"John", "Subject":"C"}); { "acknowledged" : true, "insertedId" : ObjectId("5cd69f1357806ebf1256f139") } > db.groupByDemo.insertOne({"UserName":"Larry", "Subject":"SQL Server"}); { "acknowledged" : true, "insertedId" : ObjectId("5cd69f1c57806ebf1256f13a") }Following is the query to display all documents from a collection with the help ...
Read MoreHow to implement MongoDB $or operator
Evaluate one or more expressions using the $or operator in MongoDB. Following is the syntax −db.yourCollectionName.find({ $or: [{ "yourFieldName": yourValue1 }, { "yourFieldName": yourValue2} ] } ).pretty();Let us first create a collection with documents −> db.orOperatorDemo.insertOne({"StudentNames":["John", "Carol", "Sam"]}); { "acknowledged" : true, "insertedId" : ObjectId("5cd6b80a6d78f205348bc61b") } > db.orOperatorDemo.insertOne({"StudentNames":["Robert", "Chris", "David"]}); { "acknowledged" : true, "insertedId" : ObjectId("5cd6b8266d78f205348bc61c") } > db.orOperatorDemo.insertOne({"StudentNames":["John"]}); { "acknowledged" : true, "insertedId" : ObjectId("5cd6b8346d78f205348bc61d") }Following is the query to display all documents from a collection with the help of find() method −> db.orOperatorDemo.find().pretty();This will produce the following output −{ "_id" ...
Read MoreUpdate multiple rows in a single MongoDB query?
Use the concept of initializeUnorderedBulkOp(). Let us first create a collection with documents −>db.upDateMultipleRowsDemo.insertOne({"CustomerName":"John", "CustomerPurchaseAmount":500}); { "acknowledged" : true, "insertedId" : ObjectId("5cd6ceb06d78f205348bc626") } >db.upDateMultipleRowsDemo.insertOne({"CustomerName":"Chris", "CustomerPurchaseAmount":700}); { "acknowledged" : true, "insertedId" : ObjectId("5cd6ceb26d78f205348bc627") } >db.upDateMultipleRowsDemo.insertOne({"CustomerName":"David", "CustomerPurchaseAmount":50}); { "acknowledged" : true, "insertedId" : ObjectId("5cd6ceb36d78f205348bc628") } >db.upDateMultipleRowsDemo.insertOne({"CustomerName":"Larry", "CustomerPurchaseAmount":1900}); { "acknowledged" : true, "insertedId" : ObjectId("5cd6ceb46d78f205348bc629") }Following is the query to display all documents from a collection with the help of find() method −> db.upDateMultipleRowsDemo.find().pretty();This will produce the following output −{ "_id" : ObjectId("5cd6ceb06d78f205348bc626"), "CustomerName" : "John", "CustomerPurchaseAmount" : 500 } { ...
Read MoreMongoDB query where all array items are less than a specified condition?
Let us first create a collection with documents −> db.arrayElementsNotGreaterThanDemo.insertOne({"Scores":[89, 43, 32, 45]}); { "acknowledged" : true, "insertedId" : ObjectId("5cd9e9f9b50a6c6dd317adb3") } > db.arrayElementsNotGreaterThanDemo.insertOne({"Scores":[32, 33, 34, 40]}); { "acknowledged" : true, "insertedId" : ObjectId("5cd9ea13b50a6c6dd317adb4") } > db.arrayElementsNotGreaterThanDemo.insertOne({"Scores":[45, 56, 66, 69]}); { "acknowledged" : true, "insertedId" : ObjectId("5cd9ea25b50a6c6dd317adb5") } > db.arrayElementsNotGreaterThanDemo.insertOne({"Scores":[46, 66, 77, 88]}); { "acknowledged" : true, "insertedId" : ObjectId("5cd9ea3cb50a6c6dd317adb6") }Following is the query to display all documents from a collection with the help of find() method −> db.arrayElementsNotGreaterThanDemo.find().pretty();This will produce the following output −{ "_id" : ObjectId("5cd9e9f9b50a6c6dd317adb3"), "Scores" : [ ...
Read MoreMongoDB Query to search for records only in a specific hour?
For this, use the $hour operator. Let us first create a collection with documents with one of the field as date −> db.mongoDbSearchForHoursDemo.insertOne({"CustomerName":"Larry", "OrderDatetime":new ISODate("2019-01-31 09:45:50")}); { "acknowledged" : true, "insertedId" : ObjectId("5cd6e8a86d78f205348bc62a") } > db.mongoDbSearchForHoursDemo.insertOne({"CustomerName":"Larry", "OrderDatetime":new ISODate("2019-02-21 01:10:01")}); { "acknowledged" : true, "insertedId" : ObjectId("5cd6e8b86d78f205348bc62b") } > db.mongoDbSearchForHoursDemo.insertOne({"CustomerName":"Larry", "OrderDatetime":new ISODate("2019-04-01 04:10:11")}); { "acknowledged" : true, "insertedId" : ObjectId("5cd6e8e26d78f205348bc62c") } > db.mongoDbSearchForHoursDemo.insertOne({"CustomerName":"Larry", "OrderDatetime":new ISODate("2019-05-11 08:53:01")}); { "acknowledged" : true, "insertedId" : ObjectId("5cd6e8f26d78f205348bc62d") }Following is the query to display all documents from a collection with the help of find() method −> db.mongoDbSearchForHoursDemo.find().pretty();This will ...
Read MoreHow to exclude _id without including other fields using the aggregation framework in MongoDB?
Let us first create a collection with documents −> db.excludeIdDemo.insertOne({"StudentFirstName":"John", "StudentAge":21}); { "acknowledged" : true, "insertedId" : ObjectId("5cd701a56d78f205348bc632") } > db.excludeIdDemo.insertOne({"StudentFirstName":"Robert", "StudentAge":20}); { "acknowledged" : true, "insertedId" : ObjectId("5cd701af6d78f205348bc633") } > db.excludeIdDemo.insertOne({"StudentFirstName":"Chris", "StudentAge":24}); { "acknowledged" : true, "insertedId" : ObjectId("5cd701b86d78f205348bc634") }Following is the query to display all documents from a collection with the help of find() method −> db.excludeIdDemo.find();This will produce the following output −{ "_id" : ObjectId("5cd701a56d78f205348bc632"), "StudentFirstName" : "John", "StudentAge" : 21 } { "_id" : ObjectId("5cd701af6d78f205348bc633"), "StudentFirstName" : "Robert", "StudentAge" : 20 } { "_id" : ObjectId("5cd701b86d78f205348bc634"), "StudentFirstName" : "Chris", "StudentAge" ...
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