rdblue commented on code in PR #75: URL: https://github.com/apache/iceberg-docs/pull/75#discussion_r910134907
########## landing-page/content/common/spark-quickstart.md: ########## @@ -0,0 +1,323 @@ +--- +title: "Spark and Iceberg Quickstart" +weight: 100 +url: spark-quickstart +aliases: + - "quickstart" + - "quickstarts" + - "getting-started" +disableSidebar: true +disableToc: true +--- +<!-- + - 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. + --> + +{{% quickstarts %}} + +## Spark and Iceberg Quickstart + +This guide will get you up and running with an Iceberg and Spark environment, including sample code to +highlight some powerful features. You can learn more about Iceberg's Spark runtime by checking out the [Spark](../docs/latest/spark-ddl/) section. + +- [Docker-Compose](#docker-compose) +- [Creating a table](#creating-a-table) +- [Writing Data to a Table](#writing-data-to-a-table) +- [Reading Data from a Table](#reading-data-from-a-table) +- [Adding Iceberg to Spark](#adding-iceberg-to-spark) +- [Adding A Catalog](#adding-a-catalog) +- [Next Steps](#next-steps) + +### Docker-Compose + +The fastest way to get started is to use a docker-compose file that uses the the [tabulario/spark-iceberg](https://hub.docker.com/r/tabulario/spark-iceberg) image +which contains a local Spark cluster with a configured Iceberg catalog. To use this, you'll need to install the [Docker CLI](https://docs.docker.com/get-docker/) as well as the [Docker Compose CLI](https://github.com/docker/compose-cli/blob/main/INSTALL.md). + +Once you have those, save the yaml below into a file named `docker-compose.yml`: + +```yaml +version: "3" + +services: + spark-iceberg: + image: tabulario/spark-iceberg + depends_on: + - postgres + container_name: spark-iceberg + environment: + - SPARK_HOME=/opt/spark + - PYSPARK_PYTON=/usr/bin/python3.9 + - PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/opt/spark/bin + volumes: + - ./warehouse:/home/iceberg/warehouse + - ./notebooks:/home/iceberg/notebooks/notebooks + ports: + - 8888:8888 + - 8080:8080 + - 18080:18080 + postgres: + image: postgres:13.4-bullseye + container_name: postgres + environment: + - POSTGRES_USER=admin + - POSTGRES_PASSWORD=password + - POSTGRES_DB=demo_catalog + volumes: + - ./postgres/data:/var/lib/postgresql/data +``` + +Next, start up the docker containers with this command: +```sh +docker-compose up +``` + +You can then run any of the following commands to start a Spark session. + +{{% codetabs "LaunchSparkClient" %}} +{{% addtab "SparkSQL" checked %}} +{{% addtab "SparkShell" %}} +{{% addtab "PySpark" %}} +{{% tabcontent "SparkSQL" %}} Review Comment: Tab content renders in a `section`, but I don't think that's what you want. When the screen is wider, this uses `margin-left: 150px` and the content is moved quite a bit to the right. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
