The data types Stitch supports for replication fall into two categories:
- Common, which are data types supported for all integrations
- Integration-specific, which are data types supported for specific integrations and integration versions, where applicable. Note: Common data types also apply to integrations that support integration-specific data types.
Note: If a data type isn’t present in either the Common or Integration-specific tables, it means that Stitch doesn’t currently support replication for that data type. Replicating columns with unsupported data types may lead to issues with replication.
As of June 19, 2018, the data types in the table below are supported for all integrations.
|BIGINT 1||BIT 2||CHAR 3||DATE 0|
|DECIMAL 1||DOUBLE 2||FLOAT 3||INTEGER 0|
|LONGVARCHAR 1||LONGNVARCHAR 2||NCHAR 3||NVARCHAR 0|
|NUMERIC 1||REAL 2||SMALLINT 3||TIME 0|
|TIMESTAMP 1||TINYINT 2||VARCHAR 3|
PostgreSQL supported data types
PostgreSQL integrations support the data types in the table below, in addition to the common data types.
In the table are the data types and how they'll be stored in your destination, depending on the version of the integration being used:
marks supported data types. Following the icon is how Stitch will store the data type in the destination. For example:
ARRAYdata types will be stored as strings.
- marks unsupported data types. In Stitch, columns with unsupported data types will have Unavailable in the Type column of the Tables to Replicate tab.
version 1.0 (latest)
|COMMON DATA TYPES||Supported||Supported|
Columns with mixed data types
Occasionally Stitch will encounter a column that contains more than one data type. As Stitch requires that there be only one data type per column to properly type and store your data, columns containing multiple data types may be “split” to ensure all values are correctly typed.
For example: an
order_confirmed column is synced and typed as
BOOLEAN. In a subsequent sync, Stitch detects
VARCHAR values in this column.
As a result, Stitch will create an additional column to accommodate the
VARCHAR values. The new column name will be the original name appended with the data type:
How columns are named depends on the type of destination being used to warehouse data. Refer to the Mixed Data Types guide for more info.
Replicating unsupported data types
Columns containing data types that aren’t supported may prevent an entire table from replicating.
If you determine a non-replicating column contains an unsupported data type, you’ll need to de-select it to allow the table to successfully replicate.
‘Not Supported’ status for columns
If a column you want to sync has a Status of
Not Supported, the root cause may be an unsupported data type or insufficient user permissions.