wypoon commented on a change in pull request #4255:
URL: https://github.com/apache/iceberg/pull/4255#discussion_r822223462
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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, the Spark session catalog (`spark_catalog`) does not
support table names with multipart identifiers such as
`catalog.database.table.metadata`. To work around this, for querying metadata
tables, configure a different catalog that uses the Iceberg `SparkCatalog`
class, or use the Spark `DataFrameReader` API. From Spark 3.2 onwards, the
session catalog supports table names with multipart identifiers.
Review comment:
@kbendick I updated the text.
I added a line about Spark 2.4, pointing the reader to the section on
"Inspecting with DataFrames".
I also used "prior to 3.2".
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