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https://issues.apache.org/jira/browse/HIVE-19457?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17644528#comment-17644528
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László Bodor edited comment on HIVE-19457 at 12/7/22 10:00 PM:
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thanks for reporting this [~teabot], hive today supports iceberg, I cannot
really link to one specific ticket, but I have to, it might be HIVE-24867
let me close this one
was (Author: abstractdog):
hive today supports iceberg, I cannot really link to one specific ticket, but I
have to, I might be HIVE-24867
let me close this one
> Support Iceberg as a table format
> ---------------------------------
>
> Key: HIVE-19457
> URL: https://issues.apache.org/jira/browse/HIVE-19457
> Project: Hive
> Issue Type: New Feature
> Components: Metastore, StorageHandler
> Reporter: Elliot West
> Priority: Major
>
> From [Netflix/iceberg|https://github.com/Netflix/iceberg]:
> {quote}
> Iceberg is a new table format for storing large, slow-moving tabular data. It
> is designed to improve on the de-facto standard table layout built into Hive,
> Presto, and Spark.
> {quote}
> Iceberg elegantly solves many data and metadata challenges when handling
> large datasets, especially when using eventually consistent file stores. By
> integrating iceberg with Hive we could hope to gain the following:
> * Improved performance when reading large numbers of partitions (HMS is no
> longer a bottleneck).
> * Users receiving a consistent view when reading changing datasets (snapshot
> isolation).
> * Strong consistency on eventually consistent file stores without the need
> for additional infrastructure (data is immutable, eventually consistent ops
> are avoided; data is always {{PUT}} and {{LIST}} is avoided).
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