Slower job processing

We're experiencing slower Docker components jobs processing, many jobs stalled in waiting state. Finding the root cause, hopefully we'll be back online soon.

UPDATE 9:40 AM CET: All operations are back to normal, the stalled jobs were caused by a misbehaving Redshift cluster. We're going to investigate the root cause. 

We're very sorry for this inconvenience.


Job Failures Tuesday, November 21, 2017

We have been experiencing temporary technical difficulties today around 9:15 AM CET and 9:20 AM CET.

Some component jobs may have failed as a result. We're investigating the issue and post an update when the root cause is found.

UPDATE 11:35 AM CET Jobs storage was temporarily unavailable for about two minutes. Jobs scheduling wasn't affected and running jobs were waiting until storage came up again so these jobs weren't affected. Unfortunately few orchestrations have failed, we'll do step to prevent this in the future.


Deprecating MySQL Storage and Transformations

Support for MySQL in Keboola Connection is coming to its end. Here's what will happen.

Effective immediately

  • New projects and projects without existing MySQL transformations will not be able to create new MySQL transformations.

MySQL Storage Backend (supported until January 2018)

  • The default storage backend for all projects is immediately switched from MySQL to Snowflake.
  • All MySQL buckets in all projects will be migrated to Snowflake in January 2018. This will not affect any operations, only a short maintenance on the project will be required.
  • No changes in the project are required.
  • You can apply for a sooner migration at support@keboola.com.

MySQL Transformations (supported until April 2018)

  • Your existing MySQL transformations will need to be migrated to Snowflake by the end of April 2018.
  • If you need any help migrating your MySQL transformations, contact support@keboola.com.

These steps will allow us to deprecate a piece of the legacy infrastructure and focus on the state of the art technologies. The Snowflake storage backend and transformations have significant performance and scaling benefits, so your projects will run faster than on MySQL without any extra charge.

Week in Review -- November 6, 2017

New Features

  • Finer granularity in all input mappings. The Days parameter was renamed to Changed in last and you can set the interval of changed data to as short as 10 minutes. Please note, that combining a legacy Days value with a new Changed in last is not allowed (eg. in a transformation chain, where the same table gets imported multiple times, all input mappings have to use the same filter type).

Minor Improvements

  • All new transformations come with a predefined boilerplate that will help you at the start. It is especially useful for Python and R transformations.
  • Sliced tables in Storage console (eg. exports from a Snowflake backend) are now merged when downloaded.
  • Database extractors display the name of the query that failed in their error messages.

Updated Components

  • Oracle DB Extractor and Writer are now available in the EU region.

Fixes

  • Input Mapping modal has autofocus in the Source field when opened.

Job Failures [Not Resolved]

Today, October 4, 2017, we experienced several jobs failures between 12:07--14:40 PM CEST. One of our worker servers became unresponsive which led to the jobs failures. We have shut down the instance and launched a new one. Everything is working properly now and we will further investigate the root cause of the issue. 

UPDATE 09:00 PM CEST 
We're still encountering rare job failures. We're monitoring the issue closely and trying to find the root cause.

We are sorry for any inconvenience.

Week in Review -- September 11, 2017

New Features

  • Generic Extractor introduces some backward incompatible changes, but your current running configurations will remain unaffected. Learn more about Generic Extractor compatibility levels.
  • Generic Extractor supports stopping pagination using an attribute in the response, see more on the Limit Stop feature.

Minor Improvements

  • Processors configuration is now editable where eligible.
  • Transformation scrips and queries editors link to the documentation. 

Fixes

  • Transformations UI refreshes properly on transformation or bucket delete or revert/rollback.
  • Transformation copy or restore does not delete transformation name and description.

MySQL Transformations Failures

We're encountering an increased number of application errors in MySQL transformations. We're looking into this issue and will update this post once we know more. This may also affect GoodData writer jobs.

UPDATE Aug 21, 9:10pm PST

The error seems to happens randomly on all Storage API async exports from tables stored on Snowflake. We have contacted Snowflake support to help us identify the root cause of the issue.

You may encounter the error in any component that uses async exports from Snowflake or in any external integration exporting data from a Snowflake bucket. The error does not appear in Snowflake or Redshift transformations.

UPDATE Aug 22, 9:45pm PST

The error was not yet mitigated, Snowflake engineering team is looking into it. If you're encountering this problem, please contact us at support@keboola.com for a possible workaround.

We're sorry for this inconvenience.

UPDATE Aug 23, 5:24am PST

Snowflake engineers has identified a potential fix for this issue but it is not deployed yet. Meanwhile we have found the workaround for the issue and we are updating the components. GoodData writer was fixed now, transformation and other components will be updated within few hours. 

This issue is happening randomly and less than one percent of exports were affected.

New Intercom Extractor

Due to a change in the Intecom API authorization, the current extractor stopped working. It took us a while to go through the Intercom OAuth registration, but the result is here - the new Intercom Extractor. The current version is immediately deprecated, please configure and authorize the new extractor. You can start downloading your Intercom data in seconds.

The full documentation is available here.