wypoon commented on a change in pull request #4255:
URL: https://github.com/apache/iceberg/pull/4255#discussion_r818993687
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File path: docs/versioned/spark/spark-queries.md
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@@ -168,7 +168,7 @@ To inspect a table's history, snapshots, and other
metadata, Iceberg supports me
Metadata tables are identified by adding the metadata table name after the
original table name. For example, history for `db.table` is read using
`db.table.history`.
{{< hint info >}}
-As of Spark 3.0, the format of the table name for inspection
(`catalog.database.table.metadata`) doesn't work with Spark's default catalog
(`spark_catalog`). If you've replaced the default catalog, you may want to use
`DataFrameReader` API to inspect the table.
+In Spark 3.0 and 3.1, if you have replaced Spark's default catalog
(`spark_catalog`) with Iceberg's `SparkSessionCatalog`, you cannot use it to
query metadata tables, as the form of the metadata table name
(`catalog.database.table.metadata`) is not accepted by Spark. This is fixed in
Spark 3.2 by [SPARK-34209](https://issues.apache.org/jira/browse/SPARK-34209).
For Spark 3.0 and 3.1, you can configure a different catalog (implemented by
`SparkCatalog`) to query metadata tables, or you can use the `DataFrameReader`
API.
Review comment:
Thanks for the review and suggestion.
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