42 lines
1.9 KiB
YAML
42 lines
1.9 KiB
YAML
# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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name: emr_submit_spark_job
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description: >-
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Submits an Elastic Map Reduce (EMR) Spark applications.
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inputs:
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- {name: region, description: 'The EMR region in which to handle the request.'}
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- {name: jobflow_id, description: 'The cluster id to run the job.'}
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- {name: job_name, description: The name of the spark job.}
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- {name: jar_path, description: 'A path to a JAR file run during the step.'}
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- {name: main_class, default: '', description: 'The name of the main class in the specified Java file. If not specified, the JAR file should specify a Main-Class in its manifest file.'}
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- {name: input, description: 'File path of the dataset.'}
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- {name: output, description: 'Output path of the result files.'}
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outputs:
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- {name: job_id, description: 'The id of the created EMR step.'}
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- {name: output_location, description: 'S3 URI of the training job results.'}
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implementation:
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container:
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image: seedjeffwan/kubeflow-pipeline-aws-emr:20190507
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command: ['python', 'submit_spark_job.py']
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args: [
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--region, {inputValue: region},
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--jobflow_id, {inputValue: jobflow_id},
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--job_name, {inputValue: job_name},
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--jar_path, {inputValue: jar_path},
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--main_class, {inputValue: main_class},
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--input, {inputValue: input},
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--output, {inputValue: output},
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--output_file, {outputPath: output_location},
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]
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fileOutputs:
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job_id: /output.txt |