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Posted to issues@hive.apache.org by "László Bodor (Jira)" <ji...@apache.org> on 2022/12/07 22:01:00 UTC

[jira] [Resolved] (HIVE-19457) Support Iceberg as a table format

     [ https://issues.apache.org/jira/browse/HIVE-19457?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

László Bodor resolved HIVE-19457.
---------------------------------
    Resolution: Duplicate

> 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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