We're affected by DockerHub and Quay.io Service Disruption. Some components are failing.
We'll update this post once the disruption is over and will restart all affected orchestrations.
You can also check the official DockerHub status page and Quay.IO status page for more information.
We're sorry for this inconvenience.
UPDATE: The Quay.IO disruption is over.
Between Oct 26 10:40am UTC and Oct 26 12:50am UTC we encountered issues connecting to Snowflake.
Some jobs might have ended with Internal error or one of these exceptions:
We're investigating the root cause with Snowflake support and identifying and restarting affected orchestrations.
We're encountering a higher number of "Output mapping does not match destination table" errors in applications today since 10:30am. This was caused by deploying strict validation in output mapping. Our detection script did not detect and prevent all cases, so we're rolling back this release and restarting all affected orchestrations.
We're sorry for this inconvenience.
On October 21, 2016 at 11:43:58 PM CEST/UTC+2 one of our database servers was restarted due to a hardware failure. Jobs running during that time failed when trying to reconnect to the database later in the processing.
Update October 21, 2016 at 01:20 AM CEST/UTC+2: Jobs/orchestrations affected with this restart didn't stop processing and finished successfully, they may show incorrect job result as error instead of success.
We're sorry for this inconvenience and we're restarting all failed orchestrations.
Our transformation MySQL server was under heavy load between October 20th 12:00am and 3:00am UTC. Transformation processes were slowed down or halted.
We have identified the blocking processes and all operations returned to normal. In a few cases we have terminated stalled transformations and restarted the orchestrations.
We're sorry for this inconvenience.
We're opening OpenRefine transformations to public. You can now use OpenRefine in your transformation pipeline.
No further need to write long string replaces in SQL or study how to open CSV files in Python or R. OpenRefine excels in data cleanup and many other data wrangling tasks.
To create an OpenRefine transformation choose OpenRefine (beta) when creating a new transformation.
Learn more about OpenRefine and its functions and about OpenRefine integration in Keboola Connection.
During last days we have turned on strict input/output mapping validation. Each input/output mapping is checked against the table in Storage if
Although we tried to detect all breaches of this ruleset beforehand and contact project owners some have unfortunately slipped through. We're closely monitoring all errors and fixing/restarting all failed orchestrations.
In case your project is subject to this issue on a larger scale than a single failure, we're able to remove the validation temporarily. Please contact us at support@keboola.com with any further questions/requests.
We're deeply sorry for any inconvenience.
We're currently investigating issues with Snowflake workspaces (sandboxes, transformations). We'll keep this post updated.
Update 7:36pm CEST: We have passed information to Snowflake support team and they're investigating the issue.
Update 22:36pm CEST: Snowflake team has identified the issue and is working on fix which should be deployed later tonight.
Update 05:55am CEST: The issue has been resolved and all operations are back to normal. Due to high number of affected transformations/orchestrations we won't be restarting them to prevent system overload. Please restart your orchestrations manually if needed.
Thanks for your patience and understanding.
Between Oct 07 02:00 (GMT+2) and Oct 07 02:24 (GMT+2) some transformation jobs were failing. We have identified the root cause of this issue and fixed it. All affected orchestrations will be restarted shortly.
We're sorry for this inconvenience.
We're changing the way Redshift transformations and sandboxes are provisioned.
During the week from September 26th to September 30th all projects will be migrated. What does that mean for you?
In certain situations (eg. table locks) creating of a sandbox would take a long time. After the migration provisioning will no longer depend on any locks in the whole Redshift cluster.
We're offloading the input mapping work to Storage API. Storage API is now in charge of creating the sandbox or transformation workspace for you as well as loading the data into it. Storage API will decide the fastest way to load required data into your workspace.
Username, password and schema for your Redshift sandbox will change and new sandboxes will be created. Your current sandboxes will be deleted 7 days after the migration. UI will no longer serve credentials for your current sandbox, only for the newly generated one. You will not be able to load data into your current sandbox.
If your transformation uses data directly from a Redshift schema, this won't be supported. Queries like
SELECT * FROM "in.c-mybucket"."table"
will no longer have access to in.c-mybucket Redshift schema. If your transformation contains such queries, please adjust the query so that it uses a table specified in the input mapping.
There will be no service interruption and no expected delay in your transformations. Unless you're using direct access to bucket data there is no action required. In case of any problems the whole migration is reversible.
If you are concerned about your operations please get in touch with us at support@keboola.com. We can try out the migration or change the date of migration.