![]() The two things we need to configure are the IP Whitelist addresses and a database user.įor the IP whitelist, click on “Add your Current IP Address” and then select a username/password that you will remember. Select your preferred cloud provider, supply a name for your cluster, and click Create Cluster:Īfter the cluster is created, let’s configure the security options. Once you do, you need to create a project:Īnd then, create the actual MongoDB Cluster: To start the setup on MongoDB Atlas, all you need to do is to create an account. This is a service that you can access using your favorite web browser it can be installed on all three major public cloud providers (Amazon Web Services, Microsoft Azure, Google Cloud Platform), comes with a free tier, and with just a few clicks, you will have provisioned a fully functioning MongoDB database. The most effective way to achieve this is to use the MongoDB Database-as-a-Service offering called MongoDB Atlas. MongoDB can handle dynamic data models and schema that can easily store unstructured data sets and in the case of variable data loads, MongoDB can scale horizontally, which is extremely cost-efficient when compared to traditional SQL databases, which can usually only scale vertically. Effectively, each MongoDB document follows the Javascript Object Notation (JSON) format. The data fields can be of an arbitrary number and type, even within the same collection. Indexes, a fundamental feature for efficient query execution, are also supported in MongoDB on any field or subfield of the documents, and they are defined at the collection level.Ī collection contains a number of documents, and a document contains data fields. In other words, in a relational database, tables are related by keys, and in MongoDB, collections contain unstructured and often arbitrary data. In a traditional relational SQL database (i.e., MySQL, PostgreSQL), tables are used for defining the structure of a data set and rows for the actual data, while in MongoDB, we have collections and text documents containing name-value pairs, respectively. I'll be thankful to know what could have caused this, and how can I fix it.The best way to start understanding MongoDB basics is to grasp the following comparison: MongoDB The IP address of the network is changed.Machine is dis-joined and then joined to the domain controller.Here's the exact changes made to the machine: I can't have any logical explanations about what could have happened, since everything else on the server is fine. I tried running mongod -repair without any luck, it doesn't start at all. ![]() ![]() T03:54:26.123+0430 I STORAGE exception in initAndListen: 10078 nsToDatabase: db too long, terminating \src\mongo\db\db.cpp(659) mongo::initAndListen+0x27 \src\mongo\db\db.cpp(559) mongo::_initAndListen+0xee4 \src\mongo\db\db.cpp(337) mongo::repairDatabasesAndCheckVersion+0x517 \src\mongo\db\catalog\database_holder.cpp(134) mongo::DatabaseHolder::openDb+0x380 \src\mongo\db\catalog\database.cpp(214) mongo::Database::Database+0x25b \src\mongo\db\catalog\database.cpp(182) mongo::Database::_getOrCreateCollectionInstance+0x35 \src\mongo\db\catalog\database.cpp(429) mongo::Database::getCollection+0x1ab \src\mongo\util\assert_util.cpp(222) mongo::msgasserted+0xfa \src\mongo\util\log.cpp(136) mongo::logContext+0xb0 \src\mongo\util\stacktrace_windows.cpp(174) mongo::printStackTrace+0x43 I tried upgrading MongoDB to 3.2.3 didn't work but the error is changed: T03:54:25.404+0430 I - Assertion: 10078:nsToDatabase: db too long The database name is a few characters and reasonable, and it used to work. T02:46:26.940+0430 I STORAGE exception in initAndListen: 10080 ns name too long, max size is 127 bytes, terminating ![]() The error I'm getting is: T02:46:26.936+0430 W STORAGE database D:\mongodata MYDBNAME could not be opened due to DBException 10080: ns name too long, max size is 127 bytes I moved the VM to a new physical server without any major changes, and to my surprise it cannot be started and I can't seem to be able to find the issue on the internet. I had a happy MongoDB 3.0.5 installed on a VM on a Windows 2012R2 Server, for light use.
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