Add getting-started for Polaris Spark Client with Delta tables

plugins/spark/README.md

@@ -30,11 +30,66 @@ and depends on iceberg-spark-runtime 1.8.1.
 
 # Build Plugin Jar
 A task createPolarisSparkJar is added to build a jar for the Polaris Spark plugin, the jar is named as:
-"polaris-iceberg-<iceberg_version>-spark-runtime-<spark_major_version>_<scala_version>.jar"
+The result jar is located at plugins/spark/v3.5/build/<scala_version>/libs after the build.
 
-Building the Polaris project produces client jars for both Scala 2.12 and 2.13, and CI runs the Spark 
-client tests for both Scala versions as well.
+# Start Spark with Local Polaris Service using built Jar
+Once the jar is built, we can manually test it with Spark and a local Polaris service.
 
-The Jar can also be built alone with a specific version using target `:polaris-spark-3.5_<scala_version>`. For example:
-- `./gradlew :polaris-spark-3.5_2.12:createPolarisSparkJar` - Build a jar for the Polaris Spark plugin with scala version 2.12.
-The result jar is located at plugins/spark/build/<scala_version>/libs after the build.
+The following command starts a Polaris server for local testing, it runs on localhost:8181 with default
+realm `POLARIS` and root credentials `root:secret`:
+```shell
+./gradlew run
+```
+
+Once the local server is running, the following command can be used to start the spark-shell with the built Spark client
+jar, and to use the local Polaris server as a Catalog.
+
+```shell
+bin/spark-shell \
+--jars <path-to-spark-client-jar> \
+--packages org.apache.hadoop:hadoop-aws:3.4.0,io.delta:delta-spark_2.12:3.3.1 \
+--conf spark.sql.extensions=org.apache.iceberg.spark.extensions.IcebergSparkSessionExtensions,io.delta.sql.DeltaSparkSessionExtension \
+--conf spark.sql.catalog.spark_catalog=org.apache.spark.sql.delta.catalog.DeltaCatalog \
+--conf spark.sql.catalog.<catalog-name>.warehouse=<catalog-name> \
+--conf spark.sql.catalog.<catalog-name>.header.X-Iceberg-Access-Delegation=true \
+--conf spark.sql.catalog.<catalog-name>=org.apache.polaris.spark.SparkCatalog \
+--conf spark.sql.catalog.<catalog-name>.uri=http://localhost:8181/api/catalog \
+--conf spark.sql.catalog.<catalog-name>.credential="root:secret" \
+--conf spark.sql.catalog.<catalog-name>.scope='PRINCIPAL_ROLE:ALL' \
+--conf spark.sql.catalog.<catalog-name>.token-refresh-enabled=true \
+--conf spark.sql.catalog.<catalog-name>.type=rest \
+--conf spark.sql.sources.useV1SourceList=''
+```
+
+Assume the path to the built Spark client jar is
+`/polaris/plugins/spark/v3.5/spark/build/2.12/libs/polaris-iceberg-1.8.1-spark-runtime-3.5_2.12-0.10.0-beta-incubating-SNAPSHOT.jar`
+and the name of the catalog is `polaris`. The cli command will look like following:
+
+```shell
+bin/spark-shell \
+--jars /polaris/plugins/spark/v3.5/spark/build/2.12/libs/polaris-iceberg-1.8.1-spark-runtime-3.5_2.12-0.10.0-beta-incubating-SNAPSHOT.jar \
+--packages org.apache.hadoop:hadoop-aws:3.4.0,io.delta:delta-spark_2.12:3.3.1 \
+--conf spark.sql.extensions=org.apache.iceberg.spark.extensions.IcebergSparkSessionExtensions,io.delta.sql.DeltaSparkSessionExtension \
+--conf spark.sql.catalog.spark_catalog=org.apache.spark.sql.delta.catalog.DeltaCatalog \
+--conf spark.sql.catalog.polaris.warehouse=<catalog-name> \
+--conf spark.sql.catalog.polaris.header.X-Iceberg-Access-Delegation=true \
+--conf spark.sql.catalog.polaris=org.apache.polaris.spark.SparkCatalog \
+--conf spark.sql.catalog.polaris.uri=http://localhost:8181/api/catalog \
+--conf spark.sql.catalog.polaris.credential="root:secret" \
+--conf spark.sql.catalog.polaris.scope='PRINCIPAL_ROLE:ALL' \
+--conf spark.sql.catalog.polaris.token-refresh-enabled=true \
+--conf spark.sql.catalog.polaris.type=rest \
+--conf spark.sql.sources.useV1SourceList=''
+```
+
+# Limitations
+The Polaris Spark client supports catalog management for both Iceberg and None-Iceberg tables, it routes all Iceberg
+table requests to the Iceberg REST endpoints, and routes none-iceberg table requests to the Generic Table REST endpoints.
+
+Following describes the current limitations of the Polaris Spark client:
+1) Create table as select (CTAS) is not supported for Delta tables. As a result, the `saveAsTable` method of `Dataframe`
+   is also not supported, since it relies on the CTAS support.
+2) Create a non-iceberg table without explicit location is not supported.
+3) Rename a table for non-iceberg table is not supported.
+4) ALTER TABLE ... SET LOCATION/SET FILEFORMAT/ADD PARTITION is not supported for DELTA table.
+5) No guarantee is provided for table types that are neither ICEBERG or DELTA at this moment, like csv.

plugins/spark/v3.5/getting-started/README.md

@@ -0,0 +1,78 @@
+<!--
+  Licensed to the Apache Software Foundation (ASF) under one
+  or more contributor license agreements.  See the NOTICE file
+  distributed with this work for additional information
+  regarding copyright ownership.  The ASF licenses this file
+  to you under the Apache License, Version 2.0 (the
+  "License"); you may not use this file except in compliance
+  with the License.  You may obtain a copy of the License at
+
+   http://www.apache.org/licenses/LICENSE-2.0
+
+  Unless required by applicable law or agreed to in writing,
+  software distributed under the License is distributed on an
+  "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+  KIND, either express or implied.  See the License for the
+  specific language governing permissions and limitations
+  under the License.
+-->
+
+# Getting Started with Apache Spark and Apache Polaris With Delta and Iceberg
+
+This getting started guide provides a `docker-compose` file to set up [Apache Spark](https://spark.apache.org/) with Apache Polaris using
+the new Polaris Spark Client. 
+
+The Polaris Spark Client enables manage of both Delta and Iceberg tables using Apache Polaris.
+
+A Jupyter notebook is started to run PySpark, and Polaris Python client is also installed to call Polaris APIs
+directly through Python Client.
+
+## Build the Spark Client Jar and Polaris image
+If Spark Client Jar is not presented locally under plugins/spark/v3.5/build/<scala_version>/libs, please build the jar
+using
+- `./gradlew assemble` -- build the Polaris project and skip the tests.
+
+If a Polaris image is not already present locally, build one with the following command:
+
+```shell
+./gradlew \
+  :polaris-quarkus-server:assemble \
+  :polaris-quarkus-server:quarkusAppPartsBuild --rerun \
+  -Dquarkus.container-image.build=true
+```
+
+## Run the `docker-compose` file
+
+To start the `docker-compose` file, run this command from the repo's root directory:
+```shell
+docker-compose -f plugins/spark/v3.5/getting-started/docker-compose.yml up
+```
+
+This will spin up 2 container services
+* The `polaris` service for running Apache Polaris using an in-memory metastore
+* The `jupyter` service for running Jupyter notebook with PySpark
+
+NOTE: Starting the container first time may take a couple of minutes, because it will need to download the Spark 3.5.5.
+When working with Delta, the Polaris Spark Client requires delta-io >= 3.2.1, and it requires at least Spark 3.5.3, 
+but the current jupyter Spark image only support Spark 3.5.0.
+
+### Run with AWS access setup
+If you want to interact with S3 bucket, make sure you have the following environment variables setup correctly in
+your local env before running the `docker-compose` file.
+```
+AWS_ACCESS_KEY_ID=<your_access_key>
+AWS_SECRET_ACCESS_KEY=<your_secret_key>
+```
+
+## Access the Jupyter notebook interface
+In the Jupyter notebook container log, look for the URL to access the Jupyter notebook. The url should be in the 
+format, `http://127.0.0.1:8888/lab?token=<token>`.
+
+Open the Jupyter notebook in a browser.
+Navigate to [`notebooks/SparkPolaris.ipynb`](http://127.0.0.1:8888/lab/tree/notebooks/SparkPolaris.ipynb) <!-- markdown-link-check-disable-line -->
+
+If the above url doesn't work, try to replace `127.0.0.1` with `localhost`, for example:
+`http://localhost:8888/lab?token=<token>`.
+
+## Run the Jupyter notebook
+You can now run all cells in the notebook or write your own code!

plugins/spark/v3.5/getting-started/docker-compose.yml

@@ -0,0 +1,54 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+#
+
+services:
+  polaris:
+    image: apache/polaris:latest
+    ports:
+      - "8181:8181"
+      - "8182"
+    environment:
+      AWS_REGION: us-west-2
+      AWS_ACCESS_KEY_ID: $AWS_ACCESS_KEY_ID
+      AWS_SECRET_ACCESS_KEY: $AWS_SECRET_ACCESS_KEY
+      POLARIS_BOOTSTRAP_CREDENTIALS: default-realm,root,s3cr3t
+      polaris.realm-context.realms: default-realm
+      quarkus.otel.sdk.disabled: "true"
+    healthcheck:
+      test: ["CMD", "curl", "http://localhost:8182/healthcheck"]
+      interval: 10s
+      timeout: 10s
+      retries: 5
+  jupyter:
+    build:
+      context: ../../../../   # this is needed to get the ./client
+      dockerfile: ./plugins/spark/v3.5/getting-started/notebooks/Dockerfile
+      network: host
+    ports:
+      - "8888:8888"
+    depends_on:
+      polaris:
+        condition: service_healthy
+    environment:
+      AWS_REGION: us-west-2
+      AWS_ACCESS_KEY_ID: $AWS_ACCESS_KEY_ID
+      AWS_SECRET_ACCESS_KEY: $AWS_SECRET_ACCESS_KEY
+      POLARIS_HOST: polaris
+    volumes:
+      - ./notebooks:/home/jovyan/notebooks

plugins/spark/v3.5/getting-started/notebooks/Dockerfile

@@ -0,0 +1,47 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+#
+
+FROM jupyter/all-spark-notebook:spark-3.5.0
+
+ENV LANGUAGE='en_US:en'
+
+USER root
+
+# Generic table support requires delta 3.2.1
+# Install Spark 3.5.5
+RUN wget -q https://archive.apache.org/dist/spark/spark-3.5.5/spark-3.5.5-bin-hadoop3.tgz \
+    && tar -xzf spark-3.5.5-bin-hadoop3.tgz \
+    && mv spark-3.5.5-bin-hadoop3 /opt/spark \
+    && rm spark-3.5.5-bin-hadoop3.tgz
+
+# Set environment variables
+ENV SPARK_HOME=/opt/spark
+ENV PATH=$SPARK_HOME/bin:$PATH
+
+USER jovyan
+
+COPY --chown=jovyan client /home/jovyan/client
+COPY --chown=jovyan regtests/requirements.txt /tmp
+COPY --chown=jovyan plugins/spark/v3.5/spark/build/2.12/libs /home/jovyan/polaris_libs
+RUN pip install -r /tmp/requirements.txt
+RUN cd client/python && poetry lock && \
+    python3 -m poetry install && \
+    pip install -e .
+
+WORKDIR /home/jovyan/