advancedxy commented on code in PR #1650: URL: https://github.com/apache/incubator-uniffle/pull/1650#discussion_r1567363793
########## docs/benchmark_netty.md: ########## @@ -0,0 +1,132 @@ +<!-- + ~ 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. + --> + +## 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: I see. This is fine for now. If you are going to start new benchmarks/tests, I think you could choose some lower partition numbers, such as 10000 or 12000 to stress test max concurrent tasks with 10000 or 12000. The larger partition number, the driver will have to keep more metadata to track shuffle locations and increase IO requests for vanilla Spark. It would be not fair for vanilla Spark when it may complete successfully with ~10000 reduce partitions. -- 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]
