kevinjqliu commented on code in PR #11845:
URL: https://github.com/apache/iceberg/pull/11845#discussion_r1896903736
##########
site/docs/spark-quickstart.md:
##########
@@ -267,44 +271,109 @@ To read a table, simply use the Iceberg table's name.
df = spark.table("demo.nyc.taxis").show()
```
-### Adding A Catalog
+### Adding catalogs
-Iceberg has several catalog back-ends that can be used to track tables, like
JDBC, Hive MetaStore and Glue.
-Catalogs are configured using properties under
`spark.sql.catalog.(catalog_name)`. In this guide,
-we use JDBC, but you can follow these instructions to configure other catalog
types. To learn more, check out
-the [Catalog](docs/latest/spark-configuration.md#catalogs) page in the Spark
section.
+Apache Iceberg provides several catalog implementations to manage tables and
enable SQL operations.
+Catalogs are configured using properties under
`spark.sql.catalog.(catalog_name)`.
+You can configure different catalog types, such as JDBC, Hive Metastore, Glue,
and REST, to manage Iceberg tables in Spark.
-This configuration creates a path-based catalog named `local` for tables under
`$PWD/warehouse` and adds support for Iceberg tables to Spark's built-in
catalog.
+This guide covers the configuration of two popular catalog types:
+
+* JDBC Catalog
+* REST Catalog
+
+To learn more, check out the
[Catalog](docs/latest/spark-configuration.md#catalogs) page in the Spark
section.
+
+#### Configuring JDBC Catalog
+
+The JDBC catalog stores Iceberg table metadata in a relational database.
+
+This configuration creates a JDBC-based catalog named `local` for tables under
`$PWD/warehouse` and adds support for Iceberg tables to Spark's built-in
catalog.
+
+The JDBC catalog uses file-based SQLite database as the backend.
=== "CLI"
```sh
- spark-sql --packages org.apache.iceberg:iceberg-spark-runtime-3.5_2.12:{{
icebergVersion }}\
+ spark-sql --packages org.apache.iceberg:iceberg-spark-runtime-3.5_2.12:{{
icebergVersion }},org.xerial:sqlite-jdbc:3.46.1.3 \
Review Comment:
taking on this extra dep since i dont see any iceberg specific package i can
use. there is a
[`hive-jdbc`](https://mvnrepository.com/artifact/org.apache.hive/hive-jdbc)
package
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