[GitHub] [spark-docker] HyukjinKwon commented on a diff in pull request #34: [SPARK-40513][DOCS] Add apache/spark docker image overview

["HyukjinKwon (via GitHub)" <gi...@apache.org>]

HyukjinKwon commented on code in PR #34:
URL: https://github.com/apache/spark-docker/pull/34#discussion_r1178156904


##########
OVERVIEW.md:
##########
@@ -0,0 +1,60 @@
+# What is Apache Spark™?
+
+Apache Spark™ is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters. It provides high-level APIs in Scala, Java, Python, and R, and an optimized engine that supports general computation graphs for data analysis. It also supports a rich set of higher-level tools including Spark SQL for SQL and DataFrames, pandas API on Spark for pandas workloads, MLlib for machine learning, GraphX for graph processing, and Structured Streaming for stream processing.
+
+https://spark.apache.org/
+
+## Online Documentation
+
+You can find the latest Spark documentation, including a programming guide, on the [project web page](https://spark.apache.org/documentation.html). This README file only contains basic setup instructions.
+
+## Interactive Scala Shell
+
+The easiest way to start using Spark is through the Scala shell:
+
+```
+docker run -it apache/spark /opt/spark/bin/spark-shell
+```
+
+Try the following command, which should return 1,000,000,000:
+
+```
+scala> spark.range(1000 * 1000 * 1000).count()
+```
+
+## Interactive Python Shell
+
+The easiest way to start using PySpark is through the Python shell:
+
+```
+docker run -it apache/spark /opt/spark/bin/pyspark
+```
+
+And run the following command, which should also return 1,000,000,000:
+
+```
+>>> spark.range(1000 * 1000 * 1000).count()
+```
+
+## Interactive R Shell
+
+The easiest way to start using R on Spark is through the R shell:
+
+```
+docker run -it apache/spark:r /opt/spark/bin/sparkR
+```
+
+## Running Spark on Kubernetes
+
+https://spark.apache.org/docs/latest/running-on-kubernetes.html
+
+## Supported tags and respective Dockerfile links
+
+Currently, the `apache/spark` docker image supports 4 types for each version:
+
+Such as for v3.4.0:
+-  [3.4.0-scala2.12-java11-python3-ubuntu, 3.4.0-python3, 3.4.0, python3, latest](https://github.com/apache/spark-docker/tree/fe05e38f0ffad271edccd6ae40a77d5f14f3eef7/3.4.0/scala2.12-java11-python3-ubuntu)

Review Comment:
   ```suggestion
   - [3.4.0-scala2.12-java11-python3-ubuntu, 3.4.0-python3, 3.4.0, python3, latest](https://github.com/apache/spark-docker/tree/fe05e38f0ffad271edccd6ae40a77d5f14f3eef7/3.4.0/scala2.12-java11-python3-ubuntu)
   ```



-- 
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: reviews-unsubscribe@spark.apache.org

For queries about this service, please contact Infrastructure at:
users@infra.apache.org


---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscribe@spark.apache.org
For additional commands, e-mail: reviews-help@spark.apache.org