rickyma commented on code in PR #1650: URL: https://github.com/apache/incubator-uniffle/pull/1650#discussion_r1567341736
########## 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 + spark.sql.files.maxPartitionBytes 107374182 + spark.rss.storage.type MEMORY_LOCALFILE + spark.rss.writer.buffer.spill.size 1g + spark.rss.writer.buffer.size 16m + spark.rss.client.send.size.limit 32m + spark.rss.client.rpc.maxAttempts 50 + spark.rss.resubmit.stage false + # Enable Netty mode + spark.rss.client.type GRPC_NETTY + spark.rss.client.netty.io.mode EPOLL + ```` + +Shuffle Server's configuration: + + ```` + rss.storage.type MEMORY_LOCALFILE + rss.server.buffer.capacity 140g + rss.server.read.buffer.capacity 20g + rss.rpc.executor.size 1000 + # Enable Netty mode + rss.rpc.server.type GRPC_NETTY + rss.server.netty.epoll.enable true + rss.server.netty.port 17000 + rss.server.netty.connect.backlog 128 + ```` + +## TPC-DS + +We use [spark-sql-perf](https://github.com/databricks/spark-sql-perf) to generate 10TB data. + +We use the following special SQL to perform stress testing, it mainly focuses on shuffle, with no data skewness, and has +no practical business implications: + +```` Review Comment: It will be hard to execute all the queries, because it will take very long time. I'll update the title. What title do you recommend? -- 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]
