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With an ODBC MongoDB driver from a reputable source, you can do the same thing: talk in SQL.
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You can, with the ODBC text driver, even use SQL queries to interrogate or write to CSV or tab-delimited text files as if they were a database. If you can talk SQL, there are several third-party tools that allow you to use SQL to query and manipulate MongoDB databases.įrom an application, you can use SQL as an alternative to shell queries if you use ODBC.Īny certified ODBC interface is obliged to have a pretty decent public standard subset of SQL implemented called ISO/IEC 9075-3:1995 (E) Call-Level Interface (SQL/CLI). We’ll demonstrate this approach with INNER JOIN, queries with several JOINS, the IN clause, GROUP BY, and finally LEFT OUTER JOINS. In this article, I’ll show you various types of SQL join queries that benefit from this sort of approach and how you can fine-tune the automatically-generated MongoDB queries for better performance, or to get the output closer to what you need. It gets you started, and it is much easier to criticize and alter something already drafted than to create it from scratch. However, a SQL query is quite often a good way to start working on a MongoDB query.
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It has, for example, great difficulty with embedded arrays and other non-relational devices. It isn’t intended for document databases, and it isn’t always appropriate. It has become the common way of talking about querying data that we can generally understand. SQL is the standard way of querying relational databases.