Mongodb Dbeaver

Mongodb Dbeaver

DBeaver is a universal database management tool for everyone who needs to work with data in a professional way. With DBeaver you are able to manipulate with your data like in a regular spreadsheet, create analytical reports based on records from different data storages, export information in an appropriate format. The official MongoDB Java Drivers providing both synchronous and asynchronous interaction with MongoDB. Features BSON Library A standalone BSON library, with a new Codec infrastructure that you can use to build high-performance encoders and decoders without requiring an intermediate Map instance. Moon Modeler is a visual database design tool for both relational and noSQL databases. The key features include the visual design of hierarchical structures, MongoDB script generation, various display modes, possibility to add custom notes to the diagram, and more. For PostgreSQL, MariaDB and MongoDB reverse engineering features are available.

All DBeaver products are licensed but with different types of licenses. Support for BigData/NoSQL databases such as MongoDB, Cassandra, Redis, InfluxDB, DynamoDB.

DBeaver Overview

DBeaver is a free, open source multiplatform database management tool and SQL client for developers and database administrators. DBeaver can be used to access any database or cloud application that has an ODBC or JDBC driver, such as Oracle, SQL Server, MySQl, Salesforce, or MailChimp. Devart DBeaver provides you with the most important features you'd need when working with a database in a GUI tool, such as:

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  • SQL queries execution
  • Metadata browsing and editing
  • SQL scripts management
  • Data export/import
  • Data backup
  • DDL generation
  • ER diagrams rendering
  • Test data generation
  • BLOB/CLOB support
  • Database objects browsing
  • Scrollable resultsets

The tool comes in two editions — Community and Enterprise. Enterprise Edition supports NoSQL databases, such as MongoDB or Cassandra, persistent query manager database, SSH tunneling, vector graphics (SVG) and a few other enterprise-level features. Note though that you can access a MongoDB database from DBeaver Community Edition using the respective Devart ODBC driver. For the purposes of this guide, we'll use the Community Edition of DBeaver to retrieve data from MongoDB via the Open Database Connectivity driver.

Creating an ODBC Data Source to Use MongoDB Data in DBeaver

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  1. Click the Start menu and select Control Panel.
  2. Select Administrative Tools, then click ODBC Data Sources.
  3. Click on the System DSN tab if you want to set up a DSN name for all users of the system or select User DSN to configure DSN only for your account.
  4. Click the Add button and double-click Devart ODBC Driver for MongoDB in the list.
  5. Give a name to your data source and set up the connection parameters.
  6. Click the Test Connection button to verify that you have properly configured the DSN.

When using ODBC driver for MongoDB with DBeaver, SQL_WVARCHAR data types may be displayed incorrectly in DBeaver. To prevent this, you need to set the string data types to Ansi either in the Advanced Settings tab of the driver configuration dialog or directly in the connection string (String Types=Ansi) — all string types will be returned as SQL_CHAR, SQL_VARCHAR and SQL_LONGVARCHAR.

Connecting to MongoDB Data from DBeaver via ODBC Driver for MongoDB

Follow the steps below to establish a connection to MongoDB in DBeaver.

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  1. In the Database menu, select New Database Connection.
  2. In the Connect to database wizard, select ODBC and click Next.
  3. Enter the previously configured DSN in the Database/Schema field.
  4. Click Test Connection. If everything goes well, you'll see the Success message.

Viewing MongoDB Database Objects and Querying Data

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Mongodb Dbeaver

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You can expand out the database structure in DBeaver's Database Navigator to visualize all the tables in MongoDB database. To view and edit the data in a table, you need to right-click on the target table name and select View data.The content of the table will be displayed in the main workspace.

If you want to write a custom SQL query that will include only the necessary columns from the table, you can select New SQL Editor in the SQL Editor main menu. Create your query and run it by clicking Execute SQL Statement to view the results in the same window.

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