Salesforce

This page describes how to configure a Salesforce data source. With Data Loader, you can replicate and load your source data into your target destination.

Schema Drift Support: Yes. Read Schema Drift to learn more.

Return to any page of this wizard by clicking Previous.

Click X in the upper-right of the UI and then click Yes, discard to close the pipeline creation wizard.

Prerequisites

Read the Allowed IP addresses topic before you begin. You may not be able to connect to certain data sources without first allowing the Batch IP addresses. In these circumstances, connection tests will always fail and you will not be able to complete the pipeline.
You need an active Salesforce production account. Sandbox accounts are not supported.

Create pipeline

In Data Loader, click Add pipeline.
Choose Salesforce from the grid of data sources.
Choose Batch Loading.

Connect to Salesforce

Configure the Salesforce database connection settings, specifying the following:

Property	Description
Salesforce Connection	Select a connection from the drop-down menu, or click Add Connection if one doesn't exist.
Connection Name	Give a unique name for the connection, and click Connect. A new browser tab will open, where Salesforce will ask you to confirm authorization using valid credentials.
Advanced settings	Additional JDBC parameters or connection settings. Expand the Advanced settings, and choose a parameter from the drop-down menu. Enter a value for the parameter, and click Add parameter for any extra parameters you want to add. For a list of compatible connection properties, read Allowed connection properties.

Click Continue.

Choose tables

Choose any tables you wish to include in the pipeline. Use the arrow buttons to move tables to the Tables to extract and load listbox and then reorder any tables with click-and-drag. Additionally, select multiple tables using the SHIFT key.

The Sync deleted records setting will automatically remove records from the target table if they have been deleted from Salesforce within the last 30 days. This option is enabled by default.

Click Continue with X tables to move forward.

Review your data set

Choose the columns from each table to include in the pipeline. By default, Data Loader selects all columns from a table.

Click Configure on a table to open Select columns. Use the arrow buttons to move columns out of the Columns to extract and load listbox. Order columns with click-and-drag. Select multiple columns using SHIFT.

Click Done to continue.

Click Continue once you have configured each table.

Choose destination

Choose an existing destination or click Add a new destination.
Select a destination from Snowflake, Amazon Redshift, or Google BigQuery.

Set frequency

Property	Description
Pipeline name	A descriptive label for your pipeline. This is how the pipeline appears on the pipeline dashboard and how Data Loader refers to the pipeline.
Sync every	The frequency at which the pipeline should sync. Day values include 1—7. Hour values include 1—23. Minute values include 5—59. The input is also the length of delay before the first sync.

Currently, you can't specify a start time.

Once you are happy with your pipeline configuration, click Create pipeline to complete the process and add the pipeline to your dashboard.

Block list tables

The following tables can't be extracted using Data Loader Batch due to source restrictions (such as requiring a filter):

"Announcement"
"ContentDocumentLink"
"ContentFolderItem"
"ContentFolderMember"
"ContentHubItem"
"DataStatistics"
"DatacloudAddress"
"EntityParticle"
"FeedAttachment"
"FeedItem"
"FeedRevision"
"FieldDefinition"
"FlexQueueItem"
"ListViewChartInstance"
"Note"
"OutgoingEmail"
"OutgoingEmailRelation"
"OwnerChangeOptionInfo"
"PicklistValueInfo"
"PlatformAction"
"RelationshipDomain"
"RelationshipInfo"
"SearchLayout"
"SiteDetail"
"TaskFeed"
"TaskRelation"
"UserEntityAccess"
"UserFieldAccess"
"Vote"