Shopify ETL Source

See the Connector Marketplace topic. Please request your administrator to start a trial or subscribe to the Premium Shopify 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 Shopify earlier. Or create one as explained in the topic - Shopify Connection →

Use the Test Connection option to ensure that the connection with the Shopify 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 Shopify are statically defined to model Shopify entities.

The Entities will list as per the configured connection. Select the entity to be read from Shopify.

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 Shopify.

Fields #

The conditions to fetch source data from a Shopify 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 Shopify entity specified in the previous configuration.

Query #

The conditions to fetch source data from a Shopify 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.

Use Bulk API #

Specifies whether to use Shopify Bulk Operations for GraphQL schema.

The connector automatically creates bulk query jobs and returns results as they are available.

Bulk Page SIze #

The number of records to retrieve before returning results to the user when Use Bulk API is set to true.

It indicates the number of records that are returned at a time when reading the data. In the background, the data source connector for Shopify continues to read additional results from the data source.

This property will only be visible when Use Bulk API is set to true.

Include Custom Fields #

Set whether to include custom fields in the query to the Products table.

When off, performance will increase, but you can not get and change Products custom fields.

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 fetch size determines 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.