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Posted to issues@iceberg.apache.org by "RussellSpitzer (via GitHub)" <gi...@apache.org> on 2023/04/20 16:22:00 UTC

[GitHub] [iceberg] RussellSpitzer commented on a diff in pull request #7385: Spark: Remove Spark 2.4

RussellSpitzer commented on code in PR #7385:
URL: https://github.com/apache/iceberg/pull/7385#discussion_r1172826447


##########
docs/spark-queries.md:
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@@ -31,17 +31,17 @@ To use Iceberg in Spark, first configure [Spark catalogs](../spark-configuration
 
 Iceberg uses Apache Spark's DataSourceV2 API for data source and catalog implementations. Spark DSv2 is an evolving API with different levels of support in Spark versions:
 
-| Feature support                                  | Spark 3 | Spark 2.4  | Notes                                          |
-|--------------------------------------------------|-----------|------------|------------------------------------------------|
-| [`SELECT`](#querying-with-sql)                   | ✔️        |            |                                                |
-| [DataFrame reads](#querying-with-dataframes)     | ✔️        | ✔️          |                                                |
-| [Metadata table `SELECT`](#inspecting-tables)    | ✔️        |            |                                                |
-| [History metadata table](#history)               | ✔️        | ✔️          |                                                |
-| [Snapshots metadata table](#snapshots)           | ✔️        | ✔️          |                                                |
-| [Files metadata table](#files)                   | ✔️        | ✔️          |                                                |
-| [Manifests metadata table](#manifests)           | ✔️        | ✔️          |                                                |
-| [Partitions metadata table](#partitions)         | ✔️        | ✔️          |                                                |
-| [All metadata tables](#all-metadata-tables)      | ✔️        | ✔️          |                                                |
+| Feature support                                  | Spark 3 |

Review Comment:
   +1 Drop table



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