If you’re having trouble getting Stitch to replicate or load some of your data, this is where you’ll find the resources to pinpoint and resolve the issue.
Common integration issues
Missing Columns & NULL Values
If you’ve noticed some missing columns or data from your data warehouse, the root cause may be NULL values.
Non-Replicating Data & Unsupported Data Types If a table isn’t replicating into your data warehouse, it may be because one or more of the columns in the table contains an unsupported data type.
Database integration issues
Database Integration Extraction Error Reference Extraction errors for database integrations and how to resolve them.
Database Integration Table Name Collisons In database integrations, if the names of multiple tables canonicalize to the same name - even if they’re from different source databases or schemas - name collisions and data discrepancies can occur. This applies to any database integration available in Stitch.
Missing Mongo Data Due to Fields with Multiple Data Types Missing some Mongo data? The root cause may be multiple data types in the Replication Key or Primary Key (_id) fields.
Mongo Fields Missing from Replication Key Menu If you don’t see all the fields you expect to in the Replication Key field for you Mongo integration, the root cause may be insufficient permissions or a lack of field indexing.
MySQL TINYINT(1)/boolean Columns Stored as BIT
If you’ve noticed that some MySQL TINYINT(1) columns are displaying as BIT in Stitch, it’s usually due to how the MySQL driver converts this data type.
PostgreSQL Read Replicas and Slow Replication
If you connected a PostgreSQL read replica as a database integration and are experiencing extremely slow replication, the root cause may be the database’s standby settings.
Unable to Load Tables Due to Source Database Access Level Mitigate issues with tables displaying in the Tables to Replicate tab by limiting the authorizing database user’s access to source tables.
SaaS integration issues
Common SaaS Integration Extraction Error Reference Extraction errors applicable to all SaaS integrations and how to resolve them.
Google Sheets Extraction Error Reference Extraction errors for Google Sheets integrations and how to resolve them.
Intercom Extraction Error Reference Extraction errors for Intercom integrations and how to resolve them.
Missing Segment Data & Selective Integration Snippets If you’ve noticed some missing data from your Segment integration, the culprit might be the selective integration snippet on your website.
NetSuite Extraction Error Reference Extraction errors for NetSuite integrations and how to resolve them.
Pardot Extraction Error Reference Extraction errors for Pardot integrations and how to resolve them.
Salesforce Extraction Error Reference Extraction errors for Salesforce integrations and how to resolve them.
Salesforce Replication & Selecting Too Many Columns If a single Salesforce object has a large number of columns set to replicate, issues with replication may arise.
Stale Salesforce Data & Formula Fields If you’ve noticed some out-of-date Salesforce data in your data warehouse, the root cause may be a formula field.