[iceberg-docs] branch 0.13.1 updated: Update Spark section on inspecting tables. (#66)

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The following commit(s) were added to refs/heads/0.13.1 by this push:
     new ddce65c  Update Spark section on inspecting tables. (#66)
ddce65c is described below

commit ddce65c483deae73d2c10e01bf3c249983025a1c
Author: Wing Yew Poon <wy...@gmail.com>
AuthorDate: Tue Jun 7 08:19:47 2022 -0700

    Update Spark section on inspecting tables. (#66)
    
    Using the SparkSessionCatalog to query metadata tables is possible in Spark 3.2.
---
 docs/content/docs/spark/spark-queries.md | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/docs/content/docs/spark/spark-queries.md b/docs/content/docs/spark/spark-queries.md
index e2960bf..ab80362 100644
--- a/docs/content/docs/spark/spark-queries.md
+++ b/docs/content/docs/spark/spark-queries.md
@@ -168,7 +168,9 @@ 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. 
+For Spark 2.4, use the `DataFrameReader` API to [inspect tables](#inspecting-with-dataframes).
+
+For Spark 3, prior to 3.2, the Spark [session catalog](../spark-configuration#replacing-the-session-catalog) does not support table names with multipart identifiers such as `catalog.database.table.metadata`. As a workaround, configure an `org.apache.iceberg.spark.SparkCatalog`, or use the Spark `DataFrameReader` API.
 {{< /hint >}}
 
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