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Closes linkedin#4. DataNodes are launched via SimulatedDataNodes, which uses MiniDFSCluster to launch many DataNodes in the same JVM. Additionally, SimulatedFSDataset is used to avoid the requirement of writing sparse files to the disk - all block metadata is now stored in-memory. (PR linkedin#5)
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NOTICE

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Licensed under the BSD 2-Clause License (the "License").
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See LICENSE in the project root for license information.
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================================================================================
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This product automatically loads third party code from an external repository
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using the Gradle build system. Such third party code is subject to other license
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terms than as set forth above. Please review the complete list of dependencies for
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applicable license terms.
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In addition, such third party code may also depend on and load multiple tiers of
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dependencies. Please review the applicable licenses of the additional dependencies.
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================================================================================
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This product bundles a modified version of the
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README.md

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-conf_path my-hadoop-conf
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-fs_image_dir hdfs:///fsimage
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-block_list_path hdfs:///dyno/blocks
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-datanode_layout_version -56
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```
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This demonstrates the required arguments. `-datanode_layout_version` is necessary to determine how the block
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files should be laid out on the DataNodes that are launched.
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This demonstrates the required arguments. You can run this with the `-help` flag to see further usage information.
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The client will track the Dyno-NN's startup progress and how many Dyno-DNs it considers live. It will notify
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via logging when the Dyno-NN has exited safemode and is ready for use.
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-conf_path my-hadoop-conf
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-fs_image_dir hdfs:///fsimage
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-block_list_path hdfs:///dyno/blocks
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-datanode_layout_version -56
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-workload_replay_enable
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-workload_input_path hdfs:///dyno/audit_logs/
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-workload_threads_per_mapper 50
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-workload_start_delay 5m
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```
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When run in this way, the client will automatically handle tearing down the Dyno-HDFS cluster once the
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workload has completed.
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workload has completed. To see the full list of supported parameters, run this with the `-help` flag.

build.gradle

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'yarn-common': "org.apache.hadoop:hadoop-yarn-common:${hadoopVersion}",
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'mapreduce-client-core': "org.apache.hadoop:hadoop-mapreduce-client-core:${hadoopVersion}",
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minicluster: "org.apache.hadoop:hadoop-minicluster:${hadoopVersion}",
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'hdfs-test': "org.apache.hadoop:hadoop-hdfs:${hadoopVersion}:tests",
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]
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]
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dynamometer-infra/build.gradle

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compile deps.hadoop.'yarn-api'
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compile deps.hadoop.'yarn-client'
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compile deps.hadoop.'yarn-common'
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compile deps.hadoop.'hdfs-test'
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compile project(':dynamometer-workload')
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testCompile project(path: ':dynamometer-workload', configuration: 'testArtifacts')

dynamometer-infra/src/main/bash/create-slim-hadoop-tar.sh

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# Remove unnecessary files
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rm -rf ${baseDir}/share/doc ${hadoopShare}/mapreduce ${hadoopShare}/yarn \
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${hadoopShare}/kms ${hadoopShare}/tools ${hadoopShare}/httpfs \
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${hadoopShare}/*/sources ${hadoopShare}/*/jdiff ${hadoopShare}/*/*-tests.jar
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${hadoopShare}/*/sources ${hadoopShare}/*/jdiff
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tar czf "$hadoopTarTmp.tar.gz" -C "$hadoopTarTmp" .
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rm -rf "$hadoopTarTmp"

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