Confluence ETL Source

See the Connector Marketplace topic. Please request your administrator to start a trial or subscribe to the Premium Confluence connector.

In Gathr, it can be added as a channel to help in fetching customers’ and prospects’ data and transform it as needed before storing it in a desired data warehouse to run further analytics.

Schema Type #

See the topic Provide Schema for ETL Source → to know how schema details can be provided for data sources.

After providing schema type details, the next step is to configure the data source.

Data Source Configuration #

Configure the data source parameters as explained below.

Connection Name #

Connections are the service identifiers. A connection name can be selected from the list if you have created and saved connection details for Confluence earlier. Or create one as explained in the topic - Confluence Connection →

Use the Test Connection option to ensure that the connection with the Confluence channel is established successfully.

A success message states that the connection is available. In case of any error in test connection, edit the connection to resolve the issue before proceeding further.

Entity #

Tables in Confluence are statically defined to model Confluence entities.

If you selected the Fetch From Source method to design the application, the Entities will list as per the configured connection. Select the entity to be read from Confluence.

If you selected the Upload Data File method to design the application, the exact name of the entity should be provided to read the data from Confluence.

If you selected the Fetch From Source method to design the application, the Fields would list as per the Entity chosen in the previous configuration parameter. Select the fields or provide a custom query to read the desired records from Confluence.

Fields #

The conditions to fetch source data from a Confluence table can be specified using this option.

Select Fields: Select the column(s) of the entity that should be read.

Custom Query: Provide an SQL query specifying the read conditions for the source data.

Example: SELECT "Id" FROM Companies

If you selected the Upload Data File method to design the application, provide a custom query to fetch records from the Confluence entity specified in the previous configuration.

Query #

The conditions to fetch source data from a Confluence table can be specified using this option.

Provide an SQL query specifying the read conditions for the source data.

Example: SELECT "Id" FROM Companies

Read Options #

This section contains additional read options that can be configured on need basis.

Page size #

The maximum number of results to return per page from Confluence.

Setting a higher value may result in better performance at the cost of additional memory allocated per page consumed.

Space Key #

By specifying the SpaceKey, the search results will only display contents from this specific space.

If SpaceKey is specified both in the SQL query as well as a connection property, the value in the SQL query will take precedence over the connection property.

Include Archived Spaces #

Whether to include content from archived spaces in the result. This defaults to false.

If this property is set to true, content such as comments, attachments, pages and blogspots belonging to an archived space will be included in the result.

Partitioning #

This section contains partitioning-related configuration parameters.

Enable Partitioning #

This enables parallel reading of the data from the entity.

Partitioning is disabled by default.

If enabled, an additional option will appear to configure the partitioning conditions.

Column #

The selected column will be used to partition the data.

Max Rows per Partition: Enter the maximum number of rows to be read in a single request.

Example: 10,000

It implies that a maximum number of 10,000 rows can be read in one partition.

Advanced Configuration #

This section contains additional configuration parameters.

Fetch Size #

The number of rows to be fetched per round trip. The default value is 1000.

Add Configuration: Additional properties can be added using this option as key-value pairs.

Detect Schema #

Check the populated schema details. For more details, see Schema Preview →

Pre Action #

To understand how to provide SQL queries or Stored Procedures that will be executed during pipeline run, see Pre-Actions →.

Notes #

Optionally, enter notes in the Notes → tab and save the configuration.