| commit | f49f58f30bf1a67bb5fb55f34538d6379488bfd9 | [log] [tgz] |
|---|---|---|
| author | John Yang <johnyangk@gmail.com> | Fri Aug 17 11:29:06 2018 +0900 |
| committer | Sanha Lee <sanhaleehana@gmail.com> | Fri Aug 17 11:29:06 2018 +0900 |
| tree | 23905ab8e4503e86f5cb55f96706df49ff62fa77 | |
| parent | d59373f59a2b82a170fe581d944364a63e015365 [diff] |
[NEMO-184] Upgrade to Beam 2.6.0 (#105) JIRA: [NEMO-184: Upgrade to Beam 2.6.0](https://issues.apache.org/jira/projects/NEMO/issues/NEMO-184) **Major changes:** - Upgrade to Beam 2.6.0 **Minor changes to note:** - N/A **Tests for the changes:** - N/A (just a version upgrade) **Other comments:** - throw UnsupportedException when the new Row-related APIs are called resolves [NEMO-184](https://issues.apache.org/jira/projects/NEMO/issues/NEMO-184)
A Data Processing System for Flexible Employment With Different Deployment Characteristics.
Details about Nemo and its development can be found in:
Please refer to the Contribution guideline to contribute to our project.
export HADOOP_HOME=/path/to/hadoop-2.7.2 export YARN_HOME=$HADOOP_HOME export PATH=$PATH:$HADOOP_HOME/bin
On Ubuntu 14.04 LTS and its point releases:
sudo apt-get install protobuf-compiler
On Ubuntu 16.04 LTS and its point releases:
sudo add-apt-repository ppa:snuspl/protobuf-250 sudo apt update sudo apt install protobuf-compiler=2.5.0-9xenial1
On macOS:
brew tap homebrew/versions brew install protobuf@2.5
Or build from source:
./configuremakemake checksudo make installTo check for a successful installation of version 2.5.0, run protoc --version
mvn clean install -T 2Cmvn clean install -DskipITs -T 2C-job_id: ID of the Beam job-user_main: Canonical name of the Beam application-user_args: Arguments that the Beam application accepts-optimization_policy: Canonical name of the optimization policy to apply to a job DAG in Nemo Compiler-deploy_mode: yarn is supported(default value is local)## MapReduce example ./bin/run_beam.sh \ -job_id mr_default \ -executor_json `pwd`/examples/resources/beam_test_executor_resources.json \ -optimization_policy edu.snu.nemo.compiler.optimizer.policy.DefaultPolicy \ -user_main edu.snu.nemo.examples.beam.WordCount \ -user_args "`pwd`/examples/resources/test_input_wordcount `pwd`/examples/resources/test_output_wordcount" ## YARN cluster example ./bin/run_beam.sh \ -deploy_mode yarn \ -job_id mr_transient \ -executor_json `pwd`/examples/resources/beam_test_executor_resources.json \ -user_main edu.snu.nemo.examples.beam.WordCount \ -optimization_policy edu.snu.nemo.compiler.optimizer.policy.TransientResourcePolicy \ -user_args "hdfs://v-m:9000/test_input_wordcount hdfs://v-m:9000/test_output_wordcount"
-executor_json command line option can be used to provide a path to the JSON file that describes resource configuration for executors. Its default value is config/default.json, which initializes one of each Transient, Reserved, and Compute executor, each of which has one core and 1024MB memory.
num (optional): Number of containers. Default value is 1type: Three container types are supported:Transient : Containers that store eviction-prone resources. When batch jobs use idle resources in Transient containers, they can be arbitrarily evicted when latency-critical jobs attempt to use the resources.Reserved : Containers that store eviction-free resources. Reserved containers are used to reliably store intermediate data which have high eviction cost.Compute : Containers that are mainly used for computation.memory_mb: Memory size in MBcapacity: Number of Tasks that can be run in an executor. Set this value to be the same as the number of CPU cores of the container.[ { "num": 12, "type": "Transient", "memory_mb": 1024, "capacity": 4 }, { "type": "Reserved", "memory_mb": 1024, "capacity": 2 } ]
This example configuration specifies
Nemo Compiler and Engine can store JSON representation of intermediate DAGs.
-dag_dir command line option is used to specify the directory where the JSON files are stored. The default directory is ./dag. Using our online visualizer, you can easily visualize a DAG. Just drop the JSON file of the DAG as an input to it../bin/run_beam.sh \ -job_id als \ -executor_json `pwd`/examples/resources/beam_test_executor_resources.json \ -user_main edu.snu.nemo.examples.beam.AlternatingLeastSquare \ -optimization_policy edu.snu.nemo.compiler.optimizer.policy.TransientResourcePolicy \ -dag_dir "./dag/als" \ -user_args "`pwd`/examples/resources/test_input_als 10 3"