Data Integration Troubleshooting

Use these tips to resolve problems with data integration issues in Salesforce Data Pipelines.

• Why am I receiving recipe errors?
  These suggestions can help resolve recipe errors in Salesforce Data Pipelines.
• Have I exceeded my dataset row limit, and what can I do about it?
  All orgs have a dataset row limit. When you exceed this limit or create a recipe that can exceed this limit, you must reduce the number of dataset rows used or increase your limit.
• Why can some jobs exceed the output connector limit?
  Salesforce Data Pipelines always completes output connector jobs even if the result exceeds the rolling 24-hour limit.
• Why is my recipe or data sync job running out of time or being killed?
  A recipe or data sync job can fail because the integration user can’t authenticate.
• Why was a recipe unscheduled?
  When a user is deactivated, the recipes in which they made the most recent modification are unscheduled to prevent unnecessary runs.
• Why am I receiving a syntax error in the formula node?
  You can perform several types of transformations on fields in Data Prep. However, some field API names are unavailable for these transformations.
• Why is my scheduled recipe not running as expected?
  When recipes are chained together using event-based scheduling, unscheduling or manually running an upstream recipe or connection can result in unexpected outcomes.
• Why is my data sync job failing with “string is too long” errors?
  Data sync updates can fail with field length errors that occur when the size of the data defined in the Salesforce object doesn’t match the size of the data in data sync.