docs: replace minio with rustfs in quick start

[majinghe]

As discussed in #14638, minio is under maintenance mode, so replacing the minio with RustFS. Testing works fine locally.

Testing steps:

• Generating spark default conf

   spark.sql.extensions                   org.apache.iceberg.spark.extensions.IcebergSparkSessionExtensions
   spark.sql.catalog.demo                 org.apache.iceberg.spark.SparkCatalog
   spark.sql.catalog.demo.type            rest
   spark.sql.catalog.demo.uri             http://rest:8181
   spark.sql.catalog.demo.io-impl         org.apache.iceberg.aws.s3.S3FileIO
   spark.sql.catalog.demo.warehouse       s3://warehouse/wh
   spark.sql.catalog.demo.s3.endpoint     http://rustfs:9000
   spark.sql.defaultCatalog               demo
   spark.eventLog.enabled                 true
   spark.eventLog.dir                     /home/iceberg/spark-events
   spark.history.fs.logDirectory          /home/iceberg/spark-events
   spark.sql.catalogImplementation        in-memory
   spark.sql.catalog.demo.s3.path-style-access true
  

• Running container

  Running docker command to run all containers

   docker compose up -d
  

• Insert data

   docker exec -it spark-iceberg spark-sql
   Setting default log level to "WARN".
   To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
   25/12/25 01:41:54 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
   25/12/25 01:42:05 WARN Utils: Service 'SparkUI' could not bind on port 4040. Attempting port 4041.
   Spark Web UI available at http://4dbf6384ac7a:4041
   Spark master: local[*], Application Id: local-1766626926764
   spark-sql ()> 
               > CREATE NAMESPACE demo.nyc;
   Time taken: 4.89 seconds
   spark-sql ()> CREATE TABLE demo.nyc.taxis
               > (
               >   vendor_id bigint,
               >   trip_id bigint,
               >   trip_distance float,
               >   fare_amount double,
               >   store_and_fwd_flag string
               > )
               > PARTITIONED BY (vendor_id);
   Time taken: 6.362 seconds
   spark-sql ()> INSERT INTO demo.nyc.taxis
               > VALUES (1, 1000371, 1.8, 15.32, 'N'), (2, 1000372, 2.5, 22.15, 'N'), (2, 1000373, 0.9, 9.01, 'N'), (1, 1000374, 8.4, 42.13, 'Y');
   Time taken: 17.706 seconds
   spark-sql ()> 
  

• Data verification

  Checking inserted data on RustFS instance