equivalent MongoDB statement?
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
asked Nov 12 '18 at 22:19
MilchgrafMilchgraf
1
add a comment |
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
asked Nov 12 '18 at 22:19
MilchgrafMilchgraf
1
seems like, that mongos text search is what I'm searching for..
– Milchgraf
Nov 12 '18 at 22:47
add a comment |
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
asked Nov 12 '18 at 22:19
MilchgrafMilchgraf
1
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
javascript mysql sql mongodb mongoose
asked Nov 12 '18 at 22:19
MilchgrafMilchgraf
1
asked Nov 12 '18 at 22:19
MilchgrafMilchgraf
1
asked Nov 12 '18 at 22:19
MilchgrafMilchgraf
1
asked Nov 12 '18 at 22:19
MilchgrafMilchgraf
1
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
add a comment |
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
add a comment |
2 Answers
2
active
oldest
votes
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
answered Nov 13 '18 at 3:09
user3655403user3655403
614
add a comment |
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 : { $firstName: "Walter Whi" } } ] )
Please refer this document for further details.
https://docs.mongodb.com/manual/reference/operator/aggregation/match/
answered Nov 13 '18 at 11:23
Sarah117Sarah117
236
add a comment |
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2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
You can find like this example
db.users.insert({name: 'paulo'})
db.users.insert({name: 'patric'})
db.users.insert({name: 'pedro'})
db.users.find({name: /a/}) //like '%a%' out: paulo, patric
db.users.find({name: /^pa/}) //like 'pa%' out: paulo, patric
db.users.find({name: /ro$/}) //like '%ro'
db.students.aggregate(
{ $project: {studentNo:"$studentNo" , name: { $concat: [ "$firstName", " ", "$lastName" ] },age:"$age"}},
{$match:{ "name":/Suraj/}})
project is used to list down all the coloumns plus concat two coloumns and then search on new records
aggregation is a way in MongoDB to where we can add clauses like where, having in sql
for more understanding, you can learn from
click here
answered Nov 13 '18 at 3:09
user3655403user3655403
614
add a comment |
You can find like this example
db.users.insert({name: 'paulo'})
db.users.insert({name: 'patric'})
db.users.insert({name: 'pedro'})
db.users.find({name: /a/}) //like '%a%' out: paulo, patric
db.users.find({name: /^pa/}) //like 'pa%' out: paulo, patric
db.users.find({name: /ro$/}) //like '%ro'
db.students.aggregate(
{ $project: {studentNo:"$studentNo" , name: { $concat: [ "$firstName", " ", "$lastName" ] },age:"$age"}},
{$match:{ "name":/Suraj/}})
project is used to list down all the coloumns plus concat two coloumns and then search on new records
aggregation is a way in MongoDB to where we can add clauses like where, having in sql
for more understanding, you can learn from
click here
answered Nov 13 '18 at 3:09
user3655403user3655403
614
add a comment |
You can find like this example
db.users.insert({name: 'paulo'})
db.users.insert({name: 'patric'})
db.users.insert({name: 'pedro'})
db.users.find({name: /a/}) //like '%a%' out: paulo, patric
db.users.find({name: /^pa/}) //like 'pa%' out: paulo, patric
db.users.find({name: /ro$/}) //like '%ro'
db.students.aggregate(
{ $project: {studentNo:"$studentNo" , name: { $concat: [ "$firstName", " ", "$lastName" ] },age:"$age"}},
{$match:{ "name":/Suraj/}})
project is used to list down all the coloumns plus concat two coloumns and then search on new records
aggregation is a way in MongoDB to where we can add clauses like where, having in sql
for more understanding, you can learn from
click here
answered Nov 13 '18 at 3:09
user3655403user3655403
614
You can find like this example
db.users.insert({name: 'paulo'})
db.users.insert({name: 'patric'})
db.users.insert({name: 'pedro'})
db.users.find({name: /a/}) //like '%a%' out: paulo, patric
db.users.find({name: /^pa/}) //like 'pa%' out: paulo, patric
db.users.find({name: /ro$/}) //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
answered Nov 13 '18 at 3:09
user3655403user3655403
614
answered Nov 13 '18 at 3:09
user3655403user3655403
614
answered Nov 13 '18 at 3:09
user3655403user3655403
614
answered Nov 13 '18 at 3:09
user3655403user3655403
614
614
add a comment |
add a comment |
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/
answered Nov 13 '18 at 11:23
Sarah117Sarah117
236
add a comment |
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/
answered Nov 13 '18 at 11:23
Sarah117Sarah117
236
add a comment |
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/
answered Nov 13 '18 at 11:23
Sarah117Sarah117
236
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/
answered Nov 13 '18 at 11:23
Sarah117Sarah117
236
answered Nov 13 '18 at 11:23
Sarah117Sarah117
236
answered Nov 13 '18 at 11:23
Sarah117Sarah117
236
answered Nov 13 '18 at 11:23
Sarah117Sarah117
236
236
add a comment |
add a comment |
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seems like, that mongos text search is what I'm searching for..
– Milchgraf
Nov 12 '18 at 22:47