Update 'The simplest and smallest spark cluster you can build'

The-simplest-and-smallest-spark-cluster-you-can-build.md

@@ -78,3 +78,47 @@ USER root
 COPY --from=spark /opt/bitnami/spark /usr/local/spark
 USER jovyan
 ```
+
+You can also run minio in the same docker compose project, and connect it to Spark.
+
+```
+from pyspark import SparkConf
+from pyspark.sql import SparkSession
+import os
+
+conf = (
+    SparkConf()
+    .setAppName("Spark minIO Test")
+    .set("spark.hadoop.fs.s3a.endpoint", "http://minio:9000")
+    .set("spark.hadoop.fs.s3a.access.key", os.environ.get("AWS_ACCESS_KEY_ID"))
+    .set("spark.hadoop.fs.s3a.secret.key", os.environ.get("AWS_SECRET_ACCESS_KEY"))
+    .set("spark.hadoop.fs.s3a.path.style.access", True)
+    .set("spark.hadoop.fs.s3a.impl", "org.apache.hadoop.fs.s3a.S3AFileSystem")
+)
+
+spark = (
+    SparkSession
+    .builder
+    .master("spark://spark:7077")
+    .config(conf=conf)
+    .getOrCreate()
+)
+
+(
+    spark
+    .read
+    .options(inferSchema=True, header=True)
+    .csv("s3a://datawarehouse/boards/*/*.csv")
+    .createOrReplaceTempView("boards")
+)
+
+(
+    spark
+    .sql("""
+select count(*)
+from boards
+"""
+         )
+    .toPandas()
+)
+```