News for hackers. Stuff that matters.

talatuyarer

talatuyarer on Hacker News

Re:Show HN: Public Apache Iceberg datasets via a REST catalog on Thursday January 15, 2026 @07:16PM (#46641390)
I hope this helps you

https://gist.github.com/talatuyarer/02568a38a7630434556e7dc1...

Re:Show HN: Public Apache Iceberg datasets via a REST catalog on Thursday January 15, 2026 @02:49PM (#46638164)
Thank you.

Yes We have plan to publish Dataset for Apache V3 spec features such as Variant, Deletion Vector. I can update this comment when we have release date.

Show HN: Public Apache Iceberg datasets via a REST catalog

Posted by talatuyarer on Thursday January 15, 2026 @01:27PM
from the show-hn dept.

https://opensource.googleblog.com/2026/01/explore-public-datasets-with-apache-iceberg-and-biglake.html

Hi HN,I’m one of the creators of this project.We noticed that while many developers want to experiment with Apache Iceberg the "entry cost" is often high. You usually have to set up your own storage buckets, configure a catalog (like Hive), and ingest data before you can even run a single SELECT statement.We wanted to lower that barrier. We’ve hosted a production-grade Iceberg REST Catalog on...

( Read More... | 6 comments | 12 points | on HN )
Re:Lessons from Running Apache Iceberg in Production at Uber and DoorDash on Tuesday October 14, 2025 @08:48PM (#45586763)
I believe link is wrong. Please use this to enroll: https://luma.com/byyyrlua
Re:The Line Between Databricks and BigQuery Just Got Blurry with BigLa... on Tuesday October 14, 2025 @12:30PM (#45581993)
An architectural deep dive into how Google’s BigLake Metastore unifies Databricks and BigQuery through open standards — without vendor lock-in.
Re:Apache Iceberg V3 Spec new features for more efficient and flexible... on Tuesday August 12, 2025 @12:36PM (#44878691)
I believe we are very close to release candidate. We are waiting unknown type support for Apache Spark per latest email

https://lists.apache.org/thread/gd5smyln3v6k4b790t5d1vy4483m...

Re:Apache Iceberg V3 Spec new features for more efficient and flexible... on Monday August 11, 2025 @06:29PM (#44870213)
Yes, the specification will be finalized with version 1.10. Previous versions also include specification changes. Iceberg's implementation of V3 occurs in three stages: Specification Change, Core Implementation, and Spark/Flink Implementation.

So far only Variant is supported in Spark and with 1.10 Spark will support nano timestamp and unknowntype I believe.

Re:Apache Iceberg V3 Spec new features for more efficient and flexible... on Monday August 11, 2025 @05:19PM (#44869584)
Yes 1.10 version will be first version for V3 spec. But not all features are implemented on runners such as Spark or Flink.
Re:Apache Iceberg V3 Spec new features for more efficient and flexible... on Monday August 11, 2025 @01:45PM (#44867132)
This new version has some great new features, including deletion vectors for more efficient transactions and default column values to make schema evolution a breeze. The full article has all the details.