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added plot_data.go to visualize read-write benchmark result
Reasons: 1. The original plot_data.py is out of maintainance. 2. Remove the dependency on python and related python modules. 3. It isn't a best practice to compare benchmark results of two difference branches (e.g. main vs dev) in two charts. Instead, it's better to display the benchmarks to be compared in one chart. Signed-off-by: Benjamin Wang <wachao@vmware.com>
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| # etcd/tools/rw-benchmark | ||
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| `etcd/tools/rw-benchmark` is the mixed read/write performance evaluation tool for etcd clusters. | ||
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| ## Execute | ||
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| ### Benchmark | ||
| To get a mixed read/write performance evaluation result: | ||
| ```sh | ||
| # run with default configurations and specify the working directory | ||
| ./rw-benchmark.sh -w ${WORKING_DIR} | ||
| ``` | ||
| `rw-benchmark.sh` will automatically use the etcd binary compiled under `etcd/bin/tools` directory. | ||
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| Note: the result csv file will be saved to current working directory. The working directory is where etcd database is saved. The working directory is designed for scenarios where a different mounted disk is preferred. | ||
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| ### Plot Graphs | ||
| To generate a HTML page including all the line charts based on the benchmark result csv files: | ||
| ```sh | ||
| # To generate a HTML page with each chart including one pair of read & write | ||
| # benchmark results from one data csv file. | ||
| ./rw-benchmark -l "main" ${FIRST_CSV_FILE} | ||
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| # To generate a HTML page with each chart including two pair of read & write | ||
| # benchmark results from two data csv files respectively. | ||
| ./rw-benchmark -l "main:dev" ${FIRST_CSV_FILE} ${SECOND_CSV_FILE} | ||
| ``` | ||
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| The read QPS is displayed as <span style="color:blue">blue</span>, and write QPS is displayed as <span style="color:red">red</span>. | ||
| The data in the second CSV file is rendered as dashed line if present. See example in [example/rw_benchmark.html](example/rw_benchmark.html). | ||
| Note each line in the line chart can be hidden or displayed by clicking on the related legend. |
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