The code in this article should be a good starting point for you to learn and explore other API functions. There are also many other API calls available in Metabase we did not cover. Whereas the integration of Metabase is MongoDB, MySQL, PostgreSQL, Amazon Redshift, and Microsoft SQL Server. There are two ways to connect to MongoDB: Using the Metabase fields to input your connection details. With this method, we can have all our queries in the Python script and we know exactly what we are querying. I prefer querying directly from the database with a user-defined query using Metabase rest API. Here I showed you three ways to query data from Metabase: query from the card using Metabase rest API, query directly from the database with a user-defined query using Metabase rest API, and query from the card using a Python API metabasepy. But you are certainly welcome to try it out. I feel like the Python API is less flexible.
METABASE MONGODB INSTALL
Similar to the Query card section we mentioned above, here we can query card 1 with the following code: from metabasepy import Client, MetabaseTableParser cli = Client(username=username, password=password, base_url=endpoint) cli.authenticate() query_response = (card_id="1") data_table = MetabaseTableParser.get_table(metabase_response=query_response) df = pd.DataFrame(data_table._dict_) df Metabase is a good, popular open-source BI tool that anyone can quickly install on your local environment to get a simple BI system up and running. I also tried out a Python API metabasepy. This is free software, licensed under: The Apache License, Version 2.Now you should be able to see the results of your query in df.
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METABASE MONGODB ARCHIVE
This returns the MongoDB::Collection object containing the index or archive data. I've seen answers elsewhere suggesting 'new. When converted to a native query, however, the dates convert to hard-coded dates eg.
METABASE MONGODB UPDATE
When referencing 'Past 30 days' for example, the Metabase query builder can dynamically update the question to reference the current date.
METABASE MONGODB MANUAL
This returns the MongoDB::Connection object that is created when the object is instantiated. I would like to use manual logic inside of a Metabase question. passwordĪ password for MongoDB authentication. usernameĪ username for MongoDB authentication. As long as the db_name is unique, these defaults should be safe to use for most purposes. Defaults to 'metabase_index' or 'metabase_archive'. collection_nameĪ collection name for the archive or table. To avoid collision with other Metabase data on the same MongoDB server, users should always explicitly set this to a unique name for a given Metabase installation. ATTRIBUTES hostĪ MongoDB connection string. The Metabase::Backend::MongoDB module is a Moose::Role that provides common attributes and private helpers and is not intended to be used directly.Ĭommon attributes are described further below. They can be used separately or together (see Metabase::Librarian for details). The basic syntax for using this method is: Syntax: db.collectionname.find () Example: db.writers.find () Various other options can be used to make the query specific. The next step up is to move the config to an external database by setting the environment variables like in this compose file. The find () method: This method is used for querying data from a MongoDB collection. In order to not lose your config on restart you need to mount a volume to store it. There are two modules included, Metabase::Index::MongoDB and Metabase::Archive::MongoDB. My understanding is that metabase by default uses a H2 database to store its configuration. This distribution provides a backend for Metabase using MongoDB. Version 1.000 SYNOPSIS use Metabase::Index::MongoDB Metabase::Backend::MongoDB - Metabase backend implemented using MongoDB VERSION
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