![]() It can create and edit the validation rules, visually build queries, explore the data, generate data and more. If you have come from a RDBMS background the simplest way to imaging the difference between fields and tags is to see the fields as columns, and a tags as a indexed columns. DbSchema can visualize and model the MongoDb structure as diagrams. You should be very careful with the combination of tags, ensure they are limited to avoid high cardinality: Although you can join tables based on tags, if you are doing this its usually very ineffcient and you should consider your schema design Indexes Influx doesn’t really support this concept. You can also see in purple the tags “firstName” and “lastName” flux language splits the data into tables (see column 1) on each change of the combination of tags Foreign keys Download the tool and choose to connect to InfluxDB. ![]() Compatible databases and applications include Cassandra, MySQL, MongoDB, PostgreSQL, Schema Visualization. It functions to be compatible with several databases, which are No-SQL and also relational. If you see the two columns highlighted in red you notice that instead of a bill being displayed as a single column, its actually seen as two columns _field and _value DbSchema enables Windows users to work with a very diagram-associated database for Windows devices, including PCs and laptops. You will notice that all the the data is presented as a table, the interesting point to note is that its not a table in the traditional sense with columns and rows, its more a list of meta data around a single field: So the data actually comes out like this: However Influx stores its data as a point in time with associated tags (2 of those tags being field name and measurement). ![]() If you were to think of this data in a normal RDBMS it would come in a table like this: Date
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