How to ignore extra fields for schema validation in
Some records currently have extra fields that are not included in my model schema (by error, but I want to handle these cases). When I try to query the DB and transform the records into the schema, I get the following error:
For ignoring this error when having extra fields while getting data, set
#mongodb #mongo #python #mongoengine #strict #FieldDoesNotExist
Mongoengine?Some records currently have extra fields that are not included in my model schema (by error, but I want to handle these cases). When I try to query the DB and transform the records into the schema, I get the following error:
FieldDoesNotExist
The field 'X' does not exist on the document 'Y'
For ignoring this error when having extra fields while getting data, set
strict to False in your meta dictionary.class User(Document):
email = StringField(required=True, unique=True)
password = StringField()
meta = {'strict': False}
#mongodb #mongo #python #mongoengine #strict #FieldDoesNotExist
In
It uses
#mongodb #mongo #duplicates #duplication
MongoDB you can remove duplicate documents based on a specific field:db.yourCollection.aggregate([
{ "$group": {
"_id": { "yourDuplicateKey": "$yourDuplicateKey" },
"dups": { "$push": "$_id" },
"count": { "$sum": 1 }
}},
{ "$match": { "count": { "$gt": 1 } }}
]).forEach(function(doc) {
doc.dups.shift();
db.yourCollection.remove({ "_id": {"$in": doc.dups }});
});
It uses
aggregation to group by based on the given key then add its _id into dups field and its count in count field. It will project fields with count of more than 1 using $match. At the end loops over each document and remove all duplicate fields except the first one (`shift` will cause this behaviour).#mongodb #mongo #duplicates #duplication
How to configure a Delayed Replica Set Member?
Let's assume that our member is third in the array of replica members:
The
The
And finally
The use case for this is to have a replication that is used for analytical purposes or used for backup and so on.
#mongodb #mongo #replica #replication #primary #delayed_replica_set #slaveDelay
Let's assume that our member is third in the array of replica members:
cfg = rs.conf()
cfg.members[2].priority = 0
cfg.members[2].hidden = true
cfg.members[2].slaveDelay = 3600
rs.reconfig(cfg)
The
priority is set to 0 (preventing to be elected as primary).The
hidden to true in order to hide the node from clients querying the database.And finally
slaveDelay to number of seconds that we want it to get behind of Primary Node.The use case for this is to have a replication that is used for analytical purposes or used for backup and so on.
#mongodb #mongo #replica #replication #primary #delayed_replica_set #slaveDelay
How to add self-signed certificates to replica set nodes?
https://medium.com/@rossbulat/deploy-a-3-node-mongodb-3-6-replica-set-with-x-509-authentication-self-signed-certificates-d539fda94db4
#mongo #mongodb #ssl #self_signed #openssl
https://medium.com/@rossbulat/deploy-a-3-node-mongodb-3-6-replica-set-with-x-509-authentication-self-signed-certificates-d539fda94db4
#mongo #mongodb #ssl #self_signed #openssl
Medium
Deploy a 3-Node MongoDB 4.0 Replica Set with X.509 Authentication + Self Signed Certificates
This article will guide you through the process of setting up a MongoDB cluster that will utilise X.509 authentication with self signed…
In order to see how much time your mongoDB slave is behind the primary node:
#mongodb #mongo #slave #printSlaveReplicationInfo #replica #replication
rs0:SECONDARY> db.printSlaveReplicationInfo()
source: mongo.mongo.com:27017
syncedTo: Mon Nov 12 2018 06:33:40 GMT+0000 (UTC)
-4 secs (0 hrs) behind the primary
#mongodb #mongo #slave #printSlaveReplicationInfo #replica #replication
MongoDB server Load Average: 0.5 (It can reach 16)
Database Size: 100GB (It is compressed in MySQL it reaches 300 GB in size!)
Req/Sec: 500
Our server seems hungry for more requests and more data.
#mongodb #mongo #awesomeness
Database Size: 100GB (It is compressed in MySQL it reaches 300 GB in size!)
Req/Sec: 500
Our server seems hungry for more requests and more data.
#mongodb #mongo #awesomeness