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Posted to commits@hudi.apache.org by GitBox <gi...@apache.org> on 2020/01/07 10:45:04 UTC

[GitHub] [incubator-hudi] yanghua commented on a change in pull request #1191: [HUDI-503] Add hudi test suite documentation into the README file of the test suite module

yanghua commented on a change in pull request #1191: [HUDI-503] Add hudi test suite documentation into the README file of the test suite module
URL: https://github.com/apache/incubator-hudi/pull/1191#discussion_r363690393
 
 

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 File path: hudi-test-suite/README.md
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+  Licensed to the Apache Software Foundation (ASF) under one or more
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+
+       http://www.apache.org/licenses/LICENSE-2.0
+
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+  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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+  limitations under the License.
+-->
+
+This page describes in detail how to run end to end tests on a hudi dataset that helps in improving our confidence 
+in a release as well as perform large scale performance benchmarks.  
+
+# Objectives
+
+1. Test with different versions of core libraries and components such as `hdfs`, `parquet`, `spark`, 
+`hive` and `avro`.
+2. Generate different types of workloads across different dimensions such as `payload size`, `number of updates`, 
+`number of inserts`, `number of partitions`
+3. Perform multiple types of operations such as `insert`, `bulk_insert`, `upsert`, `compact`, `query`
+4. Support custom post process actions and validations
+
+# High Level Design
+
+The Hudi test suite runs as a long running spark job. The suite is divided into the following high level components : 
+
+## Workload Generation
+
+This component does the work of generating the workload; `inserts`, `upserts` etc.
+
+## Workload Scheduling
+
+Depending on the type of workload generated, data is either ingested into the target hudi 
+dataset or the corresponding workload operation is executed. For example compaction does not necessarily need a workload
+to be generated/ingested but can require an execution.
+
+## Other actions/operatons
+
+The test suite supports different types of operations besides ingestion such as Hive Query execution, Clean action etc.
+
+# Usage instructions
+
+
+## Entry class to the test suite
+
+```
+org.apache.hudi.bench.job.HudiTestSuiteJob.java - Entry Point of the hudi test suite job. This 
+class wraps all the functionalities required to run a configurable integration suite.
+```
+
+## Configurations required to run the job
+```
+org.apache.hudi.bench.job.HudiTestSuiteConfig - Config class that drives the behavior of the 
+integration test suite. This class extends from com.uber.hoodie.utilities.DeltaStreamerConfig. Look at 
+link#HudiDeltaStreamer page to learn about all the available configs applicable to your test suite.
+```
+
+## Generating a custom Workload Pattern
+```
+There are 2 ways to generate a workload pattern
+1. Programatically
+Choose to write up the entire DAG of operations programatically, take a look at WorkflowDagGenerator class.
+Once you're ready with the DAG you want to execute, simply pass the class name as follows
+spark-submit
+...
+...
+--class org.apache.hudi.bench.job.HudiTestSuiteJob 
+--workload-generator-classname org.apache.hudi.bench.dag.scheduler.<your_workflowdaggenerator>
+...
+2. YAML file
+Choose to write up the entire DAG of operations in YAML, take a look at complex-workload-dag-cow.yaml or 
+complex-workload-dag-mor.yaml.
+Once you're ready with the DAG you want to execute, simply pass the yaml file path as follows
+spark-submit
+...
+...
+--class org.apache.hudi.bench.job.HudiTestSuiteJob 
+--workload-yaml-path /path/to/your-workflow-dag.yaml
+...
+```
 
 Review comment:
   Thanks for your suggestion. I have addressed it.

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