Hi all, has there been any talk of supporting this any time soon? Time travel reads are such a cool feature, but even more than in ETL jobs (via Java/Scala), they would be most useful via SQL to ensure consistency when reading.
Specifically, for example our spark streaming job updates dozens of aggregation tables every 30 seconds. To make the data fully consistent we would love to have views over these aggs tagged with the exact timestamp we want to expose. When each batch is done and all tables updated, we would update all the views forward, effectively hiding the updates we're doing until they're all ready. -m -- *MAURICIO ARISTIZABAL* Architect - Business Intelligence + Data Science [email protected](m)+1 323 309 4260 223 E. De La Guerra St. | Santa Barbara, CA 93101 Overview <http://www.impactradius.com/?src=slsap> | Twitter <https://twitter.com/impactradius> | Facebook <https://www.facebook.com/pages/Impact-Radius/153376411365183> | LinkedIn <https://www.linkedin.com/company/impact-radius-inc->
