yuqi1129 commented on code in PR #5065:
URL: https://github.com/apache/gravitino/pull/5065#discussion_r1793570429
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docs/spark-connector/spark-catalog-hive.md:
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@@ -70,4 +70,11 @@ Gravitino catalog property names with the prefix
`spark.bypass.` are passed to S
:::caution
When using the `spark-sql` shell client, you must explicitly set the
`spark.bypass.spark.sql.hive.metastore.jars` in the Gravitino Hive catalog
properties. Replace the default `builtin` value with the appropriate setting
for your setup.
-:::
\ No newline at end of file
+:::
+
+
+## Storage
+
+### S3
+
+Please refer to [Hive catalog with s3](../hive-catalog-with-s3.md) to set up a
Hive catalog with s3 storage. To query the data stored in s3, you need to add
s3 secret to the Spark configuration using
`spark.sql.catalog.${hive_catalog_name}.fs.s3a.access.key` and
`spark.sql.catalog.${iceberg_catalog_name}.s3.fs.s3a.secret.key`. Additionally,
download [hadoop aws
jar](https://mvnrepository.com/artifact/org.apache.hadoop/hadoop-aws) , [aws
java sdk
jar](https://mvnrepository.com/artifact/com.amazonaws/aws-java-sdk-bundle) and
place them in the classpath of Spark.
Review Comment:
> hadoop-aws) ,
There is a space before ',', please remove it.
ditto
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