Column descriptions and user defined data types

Description and custom data type can be provided for each table column in Storage. Custom data type allows you to override data type provided by the system. These data types are then used as defaults for transformation and writer table inputs.

You can explore and edit these values on Storage table detail.

Chained aliases

An alias can be created from another alias. Also aliases created in Shared Buckets are propagated to linked buckets and can be further aliased. This simplifies data preparation and sharing, tables which don't require additional processing can be directly aliased to shared buckets.

Chaining is supported only for aliases with automatically synchronized columns and without filter.

Automatic Incremental Processing

With automatic incremental processing, the component will receive only data modified since the last successful run of that component.

Code Templates for  Jupyter and RStudio sandboxes

For Jupyter and RStudio sandboxes, code templates can be defined. Code templates can be set for a given user or for the entire project. A Jupyter template is a notebook file (.ipynb). An RStudio template is a simple text file. If a sandbox is loaded from transformation, the transformation code will be appended after the template code.

Google BigQuery

• New extractor with Google Service Account service authentication was published
• New writer with Google Service Account service authentication was published
• Previous version of the writer is deprecated and will be shut down on 1. 8. 2019.The migration to new version of extractor is available.

Other Updates

• Create a single task orchestration from component configuration
• New version of Zboží.cz Extractor by Medio - Get your daily impressions, clicks, cost and conversion stats for preset time range or previous day.
  
• Python sandboxes and transformations were upgraded to Python version 3.7.3
• R sandboxes and transformation were upgraded to R version 3.5.3

One of our core databases in US region has been restarted due to some failures by AWS. All running jobs failed or will fail due to this reason.

UPDATE: The problem affected ca 26 jobs. There was some unspecified low-level failure on the database or its underlying hardware and AWS automatically switched to a backup instance. We are going to investigate if our platform can handle the failure and restart the jobs automatically next time. Thanks for your understanding, we are sorry for any inconvenience.

Today, on April 13 2019 from 14:14 UTC to 14:15 there were some orchestration failures in the US region due to an internal system upgrade. Very few orchestrations were affected, please review your orchestration and restart if needed. This issue is not related to the issue with failing orchestrations happened previously today.

[2019-04-13 8:20 CET]

We are registering increased amount of failing orchestrations since 2:27 CET. We are investigating the issue now and will keep you updated.

[2019-04-13 8:45 CET]

We traced down the problem and fix it. Everything seems to be working now, we continue monitoring it. Please review your orchestrations and restart them if necessary

Updated Components

DB extractors:

• Source shows schema as well as table name in tables list. Also it's visible from first glance which tables are created from a storage table and which are from SQL. 

  

• Table schema is shown also in config rows detail sidebar

  

• When adding tables you can click the schema name and all tables in schema at once

  

  

Execution of some table import jobs scheduled after 07:42 UTC was delayed up to 30 minutes. The delay was caused by new platform release which was immediately rolled back. All systems are now operational.

New Features

• Added fulltext search in API tokens.
• Added fulltext search and sorting by name in Orchestrations.

Minor Updates

• We have discontinued Productboard and all your new ideas come directly into our inbox. Please feel free to share with us anything on your mind.
• Python and R transformations show the link to the transformation configuration.
• After successfully validating a SQL transformation you can immediately run it. 

We have released a new version of GoodData writer. It runs fully in our Docker infrastructure and so uses its full potential. 

The UI was rewritten and the UX was brought closer to other writers. The component itself handles only updates of data model and data loads. Provisioning of projects and users is a standalone app with backend in AWS Lambda and is used by the ui seamlessly. (You can look to API documentation in Apiary.)

Other custom features of the old Writer like mandatory user filters and cloned projects have to be handled in a custom way outside of the Writer.

The old Writer was unpublished but you can still use existing configurations. Its depreciation and a way of configuration migration will be announced in the near future. But you are strongly encouraged not to create new configurations anymore.

We're investigating issues with Power BI not showing tables in your Snowflake workspace.

We're sorry for this inconvenience, we'll be updating this post with our findings.

UPDATE 17:26 CET

Snowflake confirmed they can reproduce the issue and are investigating further. 

The issue affects transient tables (CREATE TABLE statement), but does not affect views. As a temporary workaround we suggest to log in directly into the Snowflake workspace and create views from all tables in the schema. These views should be immediately visible in Power BI.

UPDATE 11:20 CET

Snowflake are preparing a new version of the ODBC Driver which allows Power BI to see the tables. Use the support button in your project to contact us to obtain this driver.

Today, on March 15 2019 from 16:34:15 UTC to 16:35:12 UTC there were some orchestration failures in the US region due to an internal system upgrade.

There were not many failures (around 20, so very few are affected), but if you had an orchestration running at that time, please check to make sure that you were unaffected.

We are working on making sure that this will not happen again for any future upgrades.