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docs and actions update
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.github/workflows/release.yml
vendored
4
.github/workflows/release.yml
vendored
@ -128,7 +128,7 @@ jobs:
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asset_path: nb/target/nb.jar
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asset_path: nb/target/nb.jar
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asset_name: nb.jar
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asset_name: nb.jar
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asset_content_type: application/octet-stream
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asset_content_type: application/octet-stream
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upload_url: https://uploads.github.com/repos/nosqlbench/nosqlbench/releases/${LATEST_GH_RELEASE_ID}/assets?name=nb.jar
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upload_url: https://uploads.github.com/repos/nosqlbench/nosqlbench/releases/${{ env.LATEST_GH_RELEASE_ID }}/assets?name=nb.jar
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- name: upload binary
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- name: upload binary
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uses: actions/upload-release-asset@v1
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uses: actions/upload-release-asset@v1
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env:
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env:
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@ -137,7 +137,7 @@ jobs:
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asset_path: nb/target/nb
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asset_path: nb/target/nb
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asset_name: nb
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asset_name: nb
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asset_content_type: application/octet-stream
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asset_content_type: application/octet-stream
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upload_url: https://uploads.github.com/repos/nosqlbench/nosqlbench/releases/${LATEST_GH_RELEASE_ID}/assets?name=nb
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upload_url: https://uploads.github.com/repos/nosqlbench/nosqlbench/releases/${{ env.LATEST_GH_RELEASE_ID }}/assets?name=nb
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docs:
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docs:
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needs: release
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needs: release
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@ -0,0 +1,44 @@
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---
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title: NoSQLBench Showcase
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weight: 80
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---
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Since NoSQLBench is new on the scene in its current form, you may be wondering
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why you would want to use it over any other tool. That is what this section is all
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about.
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First, a brief overview, vis-a-vis some tools you may have already used.
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NoSQLBench can do everything that other testing tools can do, and more. It
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achieves this by focusing on a scalable user experience in combination with a
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modular internal architecture.
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NoSQLBench is a workload construction and simulation tool for scalable systems
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testing. That is an entirely different scope of endeavor than most other tools.
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Here are some of the serious capabilities that are unique to NoSQLBench:
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- Metrics are built-in
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- Scenario Scripting
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- Command Line Scripting
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- Scripting Extensions
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- Multi-Protocol Support
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- Analysis Methods
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- Deterministic Workloads
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- Advanced Variate Sampling
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- Attention to Performance
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- Coordinated Omission is not special
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- Synchronous and Asynchronous
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- Flexible Sequencing
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- Advanced Rate Limiting
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- Blazing fast Procedural Data Generation
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- Virtual Data Set Recipes with Lambdas
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- Experimentation Friendly
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- Industrial Strength
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- Built-In Seed Data
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- Not limited by a "DSL"
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1. You can control your test data, down to the operation.
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2. All operations are deterministic according to the cycle.
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3. The core concepts are battle tested and refined
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4. We serve quick workflows as well as advanced testing scenarios.
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