The Lyftron Provider for ClubHouse offers the most natural way to access ClubHouse data from Lyftron with ease and also enables to connect with BI, MDM & ML tools, Data warehouses, Databases and other SAAS based applications with zero code and zero infrastructure requirements. The provider wraps the complexity of accessing ClubHouse data into easy-to-integrate relational fully managed ANSI Sql format. Make faster and better business decisions with Lyftron’s ClubHouse data provider and automatically build your data migration pipelines in minutes, not months
The provider hides the complexity of accessing data and provides additional powerful security features, smart caching, batching, socket management, and more.
- Comprehensive Delta load mechanism.
- Real-time access to ClubHouse.
- Comprehensive full support of ANSI Sql to query data with ease.
- Collaborative query processing.
The user must have credentials for ClubHouse, Lyftron and your destination data warehouse, lake or database to perform the data pipeline operation with Lyftron
Step1: Setup ClubHouse account
1.1 Create account in ClubHouse and login
1.2. After Login go to -> Api Tocken and click on -> generate Api key
Establishing a Connection with Lyftron's Quickstart Steps
Create your ClubHouse connection with Lyftron by following the 5 easy steps show below:
Step2 : Login to Lyftron
Start creating your connection
2.1 Click on Connect section on the left panel → Click on Add Connection button Choose your provider -> Type ClubHouse in search bar
Step2.2. Enter your connection details
In the Connection String section enter the values of the below parameters. The following connection string is required to establish ClubHouse connection with Lyftron.
Give connection name as ClubHouse -> Replace “your_api_key” with ClubHouseApi-key , click on test connection -> click save. If connection is not successful so, check the error
|Connection Name||Enter your connection details||Required|
|API-Token||your ClubHouse < token >||Required|
|Logfile**||Use the logfile option to debug your job and provide your connection name to generate the log file. [ConnectionConfigurationPath]\Connection_name_log.tx||Optional|
|Verbosity**||Choose verbosity 1-5 based on the severity of debugging||Optional|
** For more information, check the Lyftron logging and debugging section.
If you want more detailed information about how to establish a connection with Lyftron, click on Lyftron Connection Quick Start guide.
Once you are done entering your connection details, simply click on the Test Connection button to test the connectivity. In case your connection fails, add Logfile and Verbosity parameters and check the Lyftron logging and debugging section, to debug the error.
Save your connection
Hurray! Now you have successfully connected with the Lyftron ClubHouse connector and can utilize the connector to Extract, Warehouse, Analyze, Visualize and Share your data.
Step3 : Normalize
Create data source
After establishing connection, datasource metadata import is needed and for that Lyftron automatically normalize your API & different SQL dialects data into ANSI SQL format and also gives you API sources into simple, code less out of the box data model.
3.1 Enter data source name -> Choose ClubHouse from the existing connection list -> Click next
3.2 Choose the table you want to import and -> Click Create
The provider models the data in APIs into a list of tables that can be queried using standard SQL statements.
Generally, querying APIs tables is the same as querying a table in a relational database. Sometimes there are special cases, for example, including a certain column in the WHERE clause might be required to get data for certain columns in the table. This is typically needed for situations where a separate request must be made for each row to get certain columns.
|Categories||Tables||Categories returns a list of all Categories or information about the selected category and their attributes.|
|CurrentMember||Tables||Fetches the details of current logged member.|
|EpicComments||Tables||Get Epic Comment returns information about the selected Epic Comment.|
|Epics||Tables||List Epics returns a list of all Epics and their attributes.|
|EpicWorkflow||Tables||Get Epic Workflow returns the Epic Workflow for the organization.|
|Files||Tables||List Files returns a list of all Files or single file and related attributes in your Clubhouse.|
|IterationComments||Tables||Generates the list or single comment of iteration|
|Iterations||Tables||Generates the list of iterations.|
|Labels||Tables||List Labels returns a list of all Labels and their attributes.|
|LinkedFiles||Tables||List Linked Files returns a list of all Linked-Files and their attributes.|
|Members||Tables||List Members returns information about members of the organization.|
|Milestones||Tables||List Milestones returns a list of all Milestones or single milestone and their attributes.|
|Projects||Tables||List Projects returns a list of all Projects and their attributes.|
|Repositories||Tables||List Repositories returns a list of all Repositories and their attributes.|
|Story||Tables||Get Story returns information about a chosen Story.|
|StoryComments||Tables||Get Comment is used to get Comment information.|
|StoryLinks||Tables||Story links (called Story Relationships in the UI) allow you create semantic relationships between two stories.|
|StoryTasks||Tables||Generates the tasks of stories using story-public-id and task-id.|
|Teams||Tables||List Teams returns a list of all Teams in the organization.|
|Workflows||Tables||List Workflows returns a list of all Workflows in the organization.|
Step 4: Analyze
Querying the data source data
Lyftron allows you to query the source data by simply writing the ANSI Sql query. Please keep in mind as the data is coming directly from API so, there’s a limit to API calls and performance delay from the Stripe API side which Lyftron can’t control so, don’t expect to pull millions of records in just fraction of seconds. If you have heavy data loads, create the pipeline to unload that data into the Lyftron warehouse and query from it.
4.1. Drag and drop the table -> Choose your querying options
4.2. Click on -> EXECUTE and selected query will return data successfully
To view a detailed advanced settings options, go to ClubHouse Advanced Settings. Complete list of the parameters you can configure in the connection string can be found by clicking Connection String Parameters.