rickyma commented on code in PR #1650:
URL: 
https://github.com/apache/incubator-uniffle/pull/1650#discussion_r1567336696


##########
docs/benchmark_netty.md:
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@@ -0,0 +1,132 @@
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+
+## Environment
+
+### Software
+
+Uniffle 0.9.0, Hadoop 2.8.5, Spark 3.3.1
+
+### Hardware
+
+#### Uniffle Cluster
+
+| Cluster Type | Memory | CPU Cores | Disk Configuration for Every Shuffle 
Server | Max IO Read/Write Speed | Quantity                              | 
Network Bandwidth |
+|--------------|--------|-----------|---------------------------------------------|-------------------------|---------------------------------------|-------------------|
+| HDD          | 250G   | 96        | 10 * 4T HDD                              
   | 150MB/s                 | 2 * Coordinator + 10 * Shuffle Server | 25GB/s   
         |
+| SSD          | 250G   | 96        | 1 * 6T NVME                              
   | 3GB/s                   | 2 * Coordinator + 10 * Shuffle Server | 25GB/s   
         |
+
+#### Hadoop Yarn Cluster
+
+2 * ResourceManager + 750 * NodeManager, every machine 12 * 4T HDD
+
+## Configuration
+
+Spark's configuration:
+
+  ````
+  spark.speculation false
+  spark.executor.instances 1400
+  spark.executor.cores 2
+  spark.executor.memory 20g
+  spark.executor.memoryOverhead 1024
+  spark.shuffle.manager org.apache.spark.shuffle.RssShuffleManager
+  spark.sql.shuffle.partitions 20000

Review Comment:
   No. The use of 20,000 partitions is mainly for comparison, because we have 
stress tested up to 11,200 concurrent tasks. If the number of partitions is 
less than 11,200, the concurrency will not be utilized, and the stress test 
report will not be able to test multiple different concurrent tasks.



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