Intercom Extract

Intercom Extract



Intercom Extract

The Intercom Extract connector uses the Intercom API to write back the contents of a source table (or view) into a table in Intercom.


Warning:

This component is potentially destructive. The output operations performed by this component can delete, overwrite, and truncate targets objects within Intercom, and these operations might be irreversible.



Redshift Properties

Property Setting Description
Name String Input a descriptive name for the component.
Data Source Select Select a data source. Once configured, one or more properties specific to that data source will become available; these properties are mandatory and must be configured.
OAuth Select The name of the OAuth entry that has been configured for this service. For help creating and authorising an OAuth entry, please refer to the Intercom Extract Authentication Guide.
Tag ID String The unique identifier for the tag (available when selecting "Companies" as data source).
Segment ID String The unique identifier for the segment (available when selecting "Companies" as data source).
User ID String The unique identifier for the user (available when selecting "Data Events" as data source).
Email String The email address associated with the Intercom account (available when selecting "Data Events" as data source).
Intercom User ID String The unique identifier of the Intercom user associated with the Data Events (available when selecting "Data Events" as data source).
Page Limit Integer Specify the maximum number of pages to stage.
Location Storage Location Specify the S3 bucket. Users can click through the tree structure to locate the preferred S3 bucket, or specify the URL of the S3 bucket in the URL field, following the template: s3://<bucket>/<path>
External Schema Select Select the table's external schema. To learn more about external schema, please consult the Configuring The Matillion ETL Client section of the Getting Started With Amazon Redshift Spectrum documentation.
For more information on using multiple schema, see Schema Support.
Target Table String Specify the external table to be used.
Warning: This table will be recreated and any existing table of the same name will be dropped.

Snowflake Properties

Property Setting Description
Name String Input a descriptive name for the component.
Data Source Select Select a data source. Once configured, one or more properties specific to that data source will become available; these properties are mandatory and must be configured.
OAuth Select The name of the OAuth entry that has been configured for this service. For help creating and authorising an OAuth entry, please refer to the Intercom Extract Authentication Guide.
Tag ID String The unique identifier for the tag (available when selecting "Companies" as data source).
Segment ID String The unique identifier for the segment (available when selecting "Companies" as data source).
User ID String The unique identifier for the user (available when selecting "Data Events" as data source).
Email String The email address associated with the Intercom account (available when selecting "Data Events" as data source).
Intercom User ID String The unique identifier of the Intercom user associated with the Data Events (available when selecting "Data Events" as data source).
Page Limit Integer Specify the maximum number of pages to stage.
Location Storage Location Provide an S3 bucket path (AWS only), GCS bucket path (GCP only), or Azure Blob Storage path (Azure only) that will be used to store the data. Once on an S3 bucket, GCS bucket or Azure Blob, the data can be referenced by an external table. A folder will be created at this location with the same name as the Target Table.
Integration Select (GCP only) Choose your Google Cloud Storage Integration. Integrations are required to permit Snowflake to read data from and write to a Google Cloud Storage bucket. Integrations must be set up in advance of selecting them in Matillion ETL. To learn more about setting up a storage integration, read our Storage Integration Setup Guide.
Warehouse Select Choose a Snowflake warehouse that will run the load.
Database Select Select a database. A database is a logical grouping of schemas. Each database belongs to a single Snowflake account.
Schema Select Select the schema. A schema is a logical grouping of database “objects” (tables, views, etc.). Each schema belongs to a single database. The special value, [Environment Default], will use the schema defined in the environment. For more information on using multiple schemas, see this article.
Target Table String Specify the external table to be used.
Warning: This table will be recreated and any existing table of the same name will be dropped.

BigQuery Properties

Property Setting Description
Name String Input a descriptive name for the component.
Data Source Select Select a data source. Once configured, one or more properties specific to that data source will become available; these properties are mandatory and must be configured.
OAuth Select The name of the OAuth entry that has been configured for this service. For help creating and authorising an OAuth entry, please refer to the Intercom Extract Authentication Guide.
Tag ID String The unique identifier for the tag (available when selecting "Companies" as data source).
Segment ID String The unique identifier for the segment (available when selecting "Companies" as data source).
User ID String The unique identifier for the user (available when selecting "Data Events" as data source).
Email String The email address associated with the Intercom account (available when selecting "Data Events" as data source).
Intercom User ID String The unique identifier of the Intercom user associated with the Data Events (available when selecting "Data Events" as data source).
Page Limit Integer Specify the maximum number of pages to stage.
Project Select Select the Google Bigquery project. The special value, [Environment Default], will use the project defined in the environment.
For more information, refer to the BigQuery documentation.
Dataset Select Select the Google Bigquery dataset to load data into. The special value, [Environment Default], will use the dataset defined in the environment.
For more information, refer to the BigQuery documentation.
Target Table String Specify the external table to be used.
Warning: This table will be recreated and any existing table of the same name will be dropped.
Cloud Storage Staging Area Storage Location The URL and path of the target Google Storage bucket to be used for staging the queried data.
Load Options Multiple Select Clean Cloud Storage Files: Destroy staged files on Cloud Storage after loading data. Default is On.
Cloud Storage File Prefix: Give staged file names a prefix of your choice. The default setting is an empty field.
Recreate Target Table: Choose whether the component recreates its target table before the data load. When Off, the component will use an existing table or create one if it does not exist. Default is On.
Use Grid Variable: Check this checkbox to use a grid variable. This box is unchecked by default.