Release Notes
June 2020
We have changed our sync strategy for users who chose to exclude new tables from their data syncs by default. Our new sync method improves your sync speed, especially if you have a large number of tables.
April 2020
We now add a fivetran_synced column while syncing empty tables and columns from the source.
March 2020
Fivetran has released an updated version of our SQL Server connector, which offers improved sync reliability. We will add a number of upgrades to this version in the coming weeks:
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We will support Change Data Capture as an incremental update mechanism for all customers.
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We will support the following data types:
- BINARY
- VARBINARY
- IMAGE
- ROWVERSION
- TIMESTAMP
- GEOMETRY
- GEOGRAPHY
For more information, see our SQL Server documentation.
We now convert INSTANT data type to DATETIMEOFFSET data type in the destination. Previously, we converted INSTANT data type to DATETIME2 data type.
We are making this change because the DATETIMEOFFSET datatype contains time zone information, which allows you to view the time zone in the destination if the source data type is INSTANT.
This functionality is enabled by default for new connectors created after March 25, 2020. Contact our Support Team to upgrade the INSTANT data type mapping to DATETIMEOFFSET for your existing connector.
January 2020
We now support Change Data Capture as an incremental update mechanism. To learn more, see our SQL Server setup guides.
December 2019
Our SQL Server connector can now sync empty tables. You do not need to take any action to take advantage of this improvement. All the empty tables you previously selected to sync will now sync.
September 2019
If you have a logging service connected to your Fivetran account, the import progress of your tables in the event logs will be visible in your logs as an import_progress event. Table names will be in either the COMPLETE or IN_PROGRESS state, depending on their sync status. Tables that are not reported in the event have not started their import.
February 2019
Tables with clustered indices are now queried using smaller page sizes. This reduces the contiguous length of time that a Fivetran connector has a lock on a table from which it's reading, without adversely affecting sync speeds.
October 2018
For the following warehouses, Fivetran now drops the primary_key field from existing tables in your warehouse if there is a primary_key coming in from your data source:
- MySQL
- PostgreSQL
- SQL Server
- Redshift
- Periscope
- Panoply
May 2018
We can now sync columns with the data type DATETIMEOFFSET. The values are converted to UTC using the timezone information present in the data.