Fokko commented on code in PR #7385:
URL: https://github.com/apache/iceberg/pull/7385#discussion_r1172877030
##########
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:
I was also considering this, let's remove the table!
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