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[docs] Replace examples of Hadoop catalog with JDBC catalog #11845

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7 changes: 4 additions & 3 deletions docs/docs/spark-getting-started.md
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note, there are two "getting started" docs
this one and site/docs/spark-quickstart.md

Original file line number Diff line number Diff line change
Expand Up @@ -43,15 +43,16 @@ spark-shell --packages org.apache.iceberg:iceberg-spark-runtime-3.5_2.12:{{ iceb

Iceberg comes with [catalogs](spark-configuration.md#catalogs) that enable SQL commands to manage tables and load them by name. Catalogs are configured using properties under `spark.sql.catalog.(catalog_name)`.

This command creates a path-based catalog named `local` for tables under `$PWD/warehouse` and adds support for Iceberg tables to Spark's built-in catalog:
This command creates a JDBC-based catalog named `local` for tables under `$PWD/warehouse` and adds support for Iceberg tables to Spark's built-in catalog:

```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 \
--conf spark.sql.extensions=org.apache.iceberg.spark.extensions.IcebergSparkSessionExtensions \
--conf spark.sql.catalog.spark_catalog=org.apache.iceberg.spark.SparkSessionCatalog \
--conf spark.sql.catalog.spark_catalog.type=hive \
--conf spark.sql.catalog.local=org.apache.iceberg.spark.SparkCatalog \
--conf spark.sql.catalog.local.type=hadoop \
--conf spark.sql.catalog.local.type=jdbc \
--conf spark.sql.catalog.local.uri=jdbc:sqlite:$PWD/iceberg_catalog_db.sqlite \
--conf spark.sql.catalog.local.warehouse=$PWD/warehouse
```

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5 changes: 3 additions & 2 deletions site/docs/how-to-release.md
Original file line number Diff line number Diff line change
Expand Up @@ -422,10 +422,11 @@ spark-runtime jar for the Spark installation):
```bash
spark-shell \
--conf spark.jars.repositories=${MAVEN_URL} \
--packages org.apache.iceberg:iceberg-spark-runtime-3.5_2.12:{{ icebergVersion }} \
--packages org.apache.iceberg:iceberg-spark-runtime-3.5_2.12:{{ icebergVersion }},org.xerial:sqlite-jdbc:3.46.1.3 \
--conf spark.sql.extensions=org.apache.iceberg.spark.extensions.IcebergSparkSessionExtensions \
--conf spark.sql.catalog.local=org.apache.iceberg.spark.SparkCatalog \
--conf spark.sql.catalog.local.type=hadoop \
--conf spark.sql.catalog.local.type=jdbc \
--conf spark.sql.catalog.local.uri=jdbc:sqlite:$PWD/iceberg_catalog_db.sqlite \
--conf spark.sql.catalog.local.warehouse=$PWD/warehouse \
--conf spark.sql.catalog.local.default-namespace=default \
--conf spark.sql.defaultCatalog=local
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86 changes: 76 additions & 10 deletions site/docs/spark-quickstart.md
Original file line number Diff line number Diff line change
Expand Up @@ -26,7 +26,11 @@ highlight some powerful features. You can learn more about Iceberg's Spark runti
- [Writing Data to a Table](#writing-data-to-a-table)
- [Reading Data from a Table](#reading-data-from-a-table)
- [Adding A Catalog](#adding-a-catalog)
- [Next Steps](#next-steps)
- [Configuring JDBC Catalog](#configuring-jdbc-catalog)
- [Configuring REST Catalog](#configuring-rest-catalog)
- [Next steps](#next-steps)
- [Adding Iceberg to Spark](#adding-iceberg-to-spark)
- [Learn More](#learn-more)

### Docker-Compose

Expand Down Expand Up @@ -269,42 +273,104 @@ To read a table, simply use the Iceberg table's name.

### Adding A Catalog

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
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weird that the guide already mention JDBC here, but the example is still hadoop

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 \
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taking on this extra dep since i dont see any iceberg specific package i can use. there is a hive-jdbc package

--conf spark.sql.extensions=org.apache.iceberg.spark.extensions.IcebergSparkSessionExtensions \
--conf spark.sql.catalog.spark_catalog=org.apache.iceberg.spark.SparkSessionCatalog \
--conf spark.sql.catalog.spark_catalog.type=hive \
--conf spark.sql.catalog.local=org.apache.iceberg.spark.SparkCatalog \
--conf spark.sql.catalog.local.type=hadoop \
--conf spark.sql.catalog.local.type=jdbc \
--conf spark.sql.catalog.local.uri=jdbc:sqlite:$PWD/iceberg_catalog_db.sqlite \
--conf spark.sql.catalog.local.warehouse=$PWD/warehouse \
--conf spark.sql.defaultCatalog=local
```

=== "spark-defaults.conf"

```sh
spark.jars.packages org.apache.iceberg:iceberg-spark-runtime-3.5_2.12:{{ icebergVersion }}
spark.jars.packages org.apache.iceberg:iceberg-spark-runtime-3.5_2.12:{{ icebergVersion }},org.xerial:sqlite-jdbc:3.46.1.3
spark.sql.extensions org.apache.iceberg.spark.extensions.IcebergSparkSessionExtensions
spark.sql.catalog.spark_catalog org.apache.iceberg.spark.SparkSessionCatalog
spark.sql.catalog.spark_catalog.type hive
spark.sql.catalog.local org.apache.iceberg.spark.SparkCatalog
spark.sql.catalog.local.type hadoop
spark.sql.catalog.local.type jdbc
spark.sql.catalog.local.uri jdbc:sqlite:iceberg_catalog_db.sqlite
spark.sql.catalog.local.warehouse $PWD/warehouse
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$PWD does not expand in spark-defaults.conf. keeping this here will create a folder named $PWD

spark.sql.defaultCatalog local
```

!!! note
If your Iceberg catalog is not set as the default catalog, you will have to switch to it by executing `USE local;`

#### Configuring REST Catalog

The REST catalog provides a language-agnostic way to manage Iceberg tables through a RESTful service.

This configuration creates a REST-based catalog named `rest` for tables under `s3://warehouse/` and adds support for Iceberg tables to Spark's built-in catalog.
The REST catalog uses the `apache/iceberg-rest-fixture` docker container from the `docker-compose.yml` above as the backend service with MinIO for S3-compatible storage.

=== "CLI"

```sh
spark-sql --packages org.apache.iceberg:iceberg-spark-runtime-3.5_2.12:{{ icebergVersion }},org.xerial:sqlite-jdbc:3.46.1.3 \
--conf spark.sql.extensions=org.apache.iceberg.spark.extensions.IcebergSparkSessionExtensions \
--conf spark.sql.catalog.spark_catalog=org.apache.iceberg.spark.SparkSessionCatalog \
--conf spark.sql.catalog.spark_catalog.type=hive \
--conf spark.sql.catalog.rest=org.apache.iceberg.spark.SparkCatalog \
--conf spark.sql.catalog.rest.type=rest \
--conf spark.sql.catalog.rest.uri=http://localhost:8181 \
--conf spark.sql.catalog.rest.warehouse=s3://warehouse/ \
--conf spark.sql.catalog.rest.io-impl=org.apache.iceberg.aws.s3.S3FileIO \
--conf spark.sql.catalog.rest.s3.endpoint=http://localhost:9000 \
--conf spark.sql.catalog.rest.s3.path-style-access=true \
--conf spark.sql.catalog.rest.s3.access-key-id=admin \
--conf spark.sql.catalog.rest.s3.secret-access-key=password \
--conf spark.sql.catalog.rest.s3.region=us-east-1 \
--conf spark.sql.defaultCatalog=rest
```

=== "spark-defaults.conf"

```sh
spark.jars.packages org.apache.iceberg:iceberg-spark-runtime-3.5_2.12:{{ icebergVersion }}
spark.sql.extensions org.apache.iceberg.spark.extensions.IcebergSparkSessionExtensions
spark.sql.catalog.spark_catalog org.apache.iceberg.spark.SparkSessionCatalog
spark.sql.catalog.spark_catalog.type hive
spark.sql.catalog.rest org.apache.iceberg.spark.SparkCatalog
spark.sql.catalog.rest.type rest
spark.sql.catalog.rest.uri http://localhost:8181
spark.sql.catalog.rest.warehouse s3://warehouse/
spark.sql.catalog.rest.io-impl org.apache.iceberg.aws.s3.S3FileIO
spark.sql.catalog.rest.s3.endpoint http://localhost:9000
spark.sql.catalog.rest.s3.access-key-id admin
spark.sql.catalog.rest.s3.secret-access-key password
spark.sql.catalog.rest.s3.path-style-access true
spark.sql.catalog.rest.s3.region us-east-1
spark.sql.defaultCatalog rest
```

!!! note
If your Iceberg catalog is not set as the default catalog, you will have to switch to it by executing `USE rest;`

### Next steps

#### Adding Iceberg to Spark
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