equivalent MongoDB statement?










0















I'm new to MongoDB and I wonder how to build the equivalent to the following SQL statement:



SELECT * FROM users WHERE CONCAT(firstName, ' ', lastName) LIKE CONCAT('Walter Whi', '%')









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  • seems like, that mongos text search is what I'm searching for..

    – Milchgraf
    Nov 12 '18 at 22:47















0















I'm new to MongoDB and I wonder how to build the equivalent to the following SQL statement:



SELECT * FROM users WHERE CONCAT(firstName, ' ', lastName) LIKE CONCAT('Walter Whi', '%')









share|improve this question






















  • seems like, that mongos text search is what I'm searching for..

    – Milchgraf
    Nov 12 '18 at 22:47













0












0








0








I'm new to MongoDB and I wonder how to build the equivalent to the following SQL statement:



SELECT * FROM users WHERE CONCAT(firstName, ' ', lastName) LIKE CONCAT('Walter Whi', '%')









share|improve this question














I'm new to MongoDB and I wonder how to build the equivalent to the following SQL statement:



SELECT * FROM users WHERE CONCAT(firstName, ' ', lastName) LIKE CONCAT('Walter Whi', '%')






javascript mysql sql mongodb mongoose






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share|improve this question










asked Nov 12 '18 at 22:19









MilchgrafMilchgraf

1




1












  • seems like, that mongos text search is what I'm searching for..

    – Milchgraf
    Nov 12 '18 at 22:47

















  • seems like, that mongos text search is what I'm searching for..

    – Milchgraf
    Nov 12 '18 at 22:47
















seems like, that mongos text search is what I'm searching for..

– Milchgraf
Nov 12 '18 at 22:47





seems like, that mongos text search is what I'm searching for..

– Milchgraf
Nov 12 '18 at 22:47












2 Answers
2






active

oldest

votes


















0














You can find like this example



db.users.insert(name: 'paulo')
db.users.insert(name: 'patric')
db.users.insert(name: 'pedro')

db.users.find(name: /a/) //like '%a%' out: paulo, patric
db.users.find(name: /^pa/) //like 'pa%' out: paulo, patric
db.users.find(name: /ro$/) //like '%ro'
db.students.aggregate(
$project: studentNo:"$studentNo" , name: $concat: [ "$firstName", " ", "$lastName" ] ,age:"$age",
$match: "name":/Suraj/)


project is used to list down all the coloumns plus concat two coloumns and then search on new records



aggregation is a way in MongoDB to where we can add clauses like where, having in sql



for more understanding, you can learn from
click here






share|improve this answer






























    0














    CONCAT in SQL is equaled to the aggregate method in MongoDB.
    Tables in SQL is equaled to the documents in MongoDB.
    SELECT in SQL is equaled to the Projection method in MongoDB.




    db.users.aggregate( [
    $project: userDescription: $concat: [ "$firstName", " - ", "$lastName" ] ,
    $match : $firstName: "Walter Whi" ] )




    Please refer this document for further details.
    https://docs.mongodb.com/manual/reference/operator/aggregation/match/






    share|improve this answer






















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      2 Answers
      2






      active

      oldest

      votes








      2 Answers
      2






      active

      oldest

      votes









      active

      oldest

      votes






      active

      oldest

      votes









      0














      You can find like this example



      db.users.insert(name: 'paulo')
      db.users.insert(name: 'patric')
      db.users.insert(name: 'pedro')

      db.users.find(name: /a/) //like '%a%' out: paulo, patric
      db.users.find(name: /^pa/) //like 'pa%' out: paulo, patric
      db.users.find(name: /ro$/) //like '%ro'
      db.students.aggregate(
      $project: studentNo:"$studentNo" , name: $concat: [ "$firstName", " ", "$lastName" ] ,age:"$age",
      $match: "name":/Suraj/)


      project is used to list down all the coloumns plus concat two coloumns and then search on new records



      aggregation is a way in MongoDB to where we can add clauses like where, having in sql



      for more understanding, you can learn from
      click here






      share|improve this answer



























        0














        You can find like this example



        db.users.insert(name: 'paulo')
        db.users.insert(name: 'patric')
        db.users.insert(name: 'pedro')

        db.users.find(name: /a/) //like '%a%' out: paulo, patric
        db.users.find(name: /^pa/) //like 'pa%' out: paulo, patric
        db.users.find(name: /ro$/) //like '%ro'
        db.students.aggregate(
        $project: studentNo:"$studentNo" , name: $concat: [ "$firstName", " ", "$lastName" ] ,age:"$age",
        $match: "name":/Suraj/)


        project is used to list down all the coloumns plus concat two coloumns and then search on new records



        aggregation is a way in MongoDB to where we can add clauses like where, having in sql



        for more understanding, you can learn from
        click here






        share|improve this answer

























          0












          0








          0







          You can find like this example



          db.users.insert(name: 'paulo')
          db.users.insert(name: 'patric')
          db.users.insert(name: 'pedro')

          db.users.find(name: /a/) //like '%a%' out: paulo, patric
          db.users.find(name: /^pa/) //like 'pa%' out: paulo, patric
          db.users.find(name: /ro$/) //like '%ro'
          db.students.aggregate(
          $project: studentNo:"$studentNo" , name: $concat: [ "$firstName", " ", "$lastName" ] ,age:"$age",
          $match: "name":/Suraj/)


          project is used to list down all the coloumns plus concat two coloumns and then search on new records



          aggregation is a way in MongoDB to where we can add clauses like where, having in sql



          for more understanding, you can learn from
          click here






          share|improve this answer













          You can find like this example



          db.users.insert(name: 'paulo')
          db.users.insert(name: 'patric')
          db.users.insert(name: 'pedro')

          db.users.find(name: /a/) //like '%a%' out: paulo, patric
          db.users.find(name: /^pa/) //like 'pa%' out: paulo, patric
          db.users.find(name: /ro$/) //like '%ro'
          db.students.aggregate(
          $project: studentNo:"$studentNo" , name: $concat: [ "$firstName", " ", "$lastName" ] ,age:"$age",
          $match: "name":/Suraj/)


          project is used to list down all the coloumns plus concat two coloumns and then search on new records



          aggregation is a way in MongoDB to where we can add clauses like where, having in sql



          for more understanding, you can learn from
          click here







          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered Nov 13 '18 at 3:09









          user3655403user3655403

          614




          614























              0














              CONCAT in SQL is equaled to the aggregate method in MongoDB.
              Tables in SQL is equaled to the documents in MongoDB.
              SELECT in SQL is equaled to the Projection method in MongoDB.




              db.users.aggregate( [
              $project: userDescription: $concat: [ "$firstName", " - ", "$lastName" ] ,
              $match : $firstName: "Walter Whi" ] )




              Please refer this document for further details.
              https://docs.mongodb.com/manual/reference/operator/aggregation/match/






              share|improve this answer



























                0














                CONCAT in SQL is equaled to the aggregate method in MongoDB.
                Tables in SQL is equaled to the documents in MongoDB.
                SELECT in SQL is equaled to the Projection method in MongoDB.




                db.users.aggregate( [
                $project: userDescription: $concat: [ "$firstName", " - ", "$lastName" ] ,
                $match : $firstName: "Walter Whi" ] )




                Please refer this document for further details.
                https://docs.mongodb.com/manual/reference/operator/aggregation/match/






                share|improve this answer

























                  0












                  0








                  0







                  CONCAT in SQL is equaled to the aggregate method in MongoDB.
                  Tables in SQL is equaled to the documents in MongoDB.
                  SELECT in SQL is equaled to the Projection method in MongoDB.




                  db.users.aggregate( [
                  $project: userDescription: $concat: [ "$firstName", " - ", "$lastName" ] ,
                  $match : $firstName: "Walter Whi" ] )




                  Please refer this document for further details.
                  https://docs.mongodb.com/manual/reference/operator/aggregation/match/






                  share|improve this answer













                  CONCAT in SQL is equaled to the aggregate method in MongoDB.
                  Tables in SQL is equaled to the documents in MongoDB.
                  SELECT in SQL is equaled to the Projection method in MongoDB.




                  db.users.aggregate( [
                  $project: userDescription: $concat: [ "$firstName", " - ", "$lastName" ] ,
                  $match : $firstName: "Walter Whi" ] )




                  Please refer this document for further details.
                  https://docs.mongodb.com/manual/reference/operator/aggregation/match/







                  share|improve this answer












                  share|improve this answer



                  share|improve this answer










                  answered Nov 13 '18 at 11:23









                  Sarah117Sarah117

                  236




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