mirror of
https://github.com/meilisearch/MeiliSearch
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372 lines
16 KiB
Markdown
372 lines
16 KiB
Markdown
# Benchmarks
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Currently this repository hosts two kinds of benchmarks:
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1. The older "milli benchmarks", that use [criterion](https://github.com/bheisler/criterion.rs) and live in the "benchmarks" directory.
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2. The newer "bench" that are workload-based and so split between the [`workloads`](./workloads/) directory and the [`xtask::bench`](./xtask/src/bench/) module.
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This document describes the newer "bench" benchmarks. For more details on the "milli benchmarks", see [benchmarks/README.md](./benchmarks/README.md).
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## Design philosophy for the benchmarks
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The newer "bench" benchmarks are **integration** benchmarks, in the sense that they spawn an actual Meilisearch server and measure its performance end-to-end, including HTTP request overhead.
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Since this is prone to fluctuating, the benchmarks regain a bit of precision by measuring the runtime of the individual spans using the [logging machinery](./CONTRIBUTING.md#logging) of Meilisearch.
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A span roughly translates to a function call. The benchmark runner collects all the spans by name using the [logs route](https://github.com/orgs/meilisearch/discussions/721) and sums their runtime. The processed results are then sent to the [benchmark dashboard](https://bench.meilisearch.dev), which is in charge of storing and presenting the data.
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## Running the benchmarks
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Benchmarks can run locally or in CI.
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### Locally
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#### With a local benchmark dashboard
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The benchmarks dashboard lives in its [own repository](https://github.com/meilisearch/benchboard). We provide binaries for Ubuntu/Debian, but you can build from source for other platforms (MacOS should work as it was developed under that platform).
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Run the `benchboard` binary to create a fresh database of results. By default it will serve the results and the API to gather results on `http://localhost:9001`.
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From the Meilisearch repository, you can then run benchmarks with:
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```sh
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cargo xtask bench -- workloads/my_workload_1.json ..
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```
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This command will build and run Meilisearch locally on port 7700, so make sure that this port is available.
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To run benchmarks on a different commit, just use the usual git command to get back to the desired commit.
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#### Without a local benchmark dashboard
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To work with the raw results, you can also skip using a local benchmark dashboard.
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Run:
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```sh
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cargo xtask bench --no-dashboard -- workloads/my_workload_1.json workloads/my_workload_2.json ..
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```
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For processing the results, look at [Looking at benchmark results/Without dashboard](#without-dashboard).
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### In CI
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We have dedicated runners to run workloads on CI. Currently, there are three ways of running the CI:
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1. Automatically, on every push to `main`.
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2. Manually, by clicking the [`Run workflow`](https://github.com/meilisearch/meilisearch/actions/workflows/bench-manual.yml) button and specifying the target reference (tag, commit or branch) as well as one or multiple workloads to run. The workloads must exist in the Meilisearch repository (conventionally, in the [`workloads`](./workloads/) directory) on the target reference. Globbing (e.g., `workloads/*.json`) works.
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3. Manually on a PR, by posting a comment containing a `/bench` command, followed by one or multiple workloads to run. Globbing works. The workloads must exist in the Meilisearch repository in the branch of the PR.
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```
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/bench workloads/movies*.json /hackernews_1M.json
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```
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## Looking at benchmark results
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### On the dashboard
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Results are available on the global dashboard used by CI at <https://bench.meilisearch.dev> or on your [local dashboard](#with-a-local-benchmark-dashboard).
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The dashboard homepage presents three sections:
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1. The latest invocations (a call to `cargo xtask bench`, either local or by CI) with their reason (generally set to some helpful link in CI) and their status.
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2. The latest workloads ran on `main`.
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3. The latest workloads ran on other references.
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By default, the workload shows the total runtime delta with the latest applicable commit on `main`. The latest applicable commit is the latest commit for workload invocations that do not originate on `main`, and the latest previous commit for workload invocations that originate on `main`.
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You can explicitly request a detailed comparison by span with the `main` branch, the branch or origin, or any previous commit, by clicking the links at the bottom of the workload invocation.
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In the detailed comparison view, the spans are sorted by improvements, regressions, stable (no statistically significant change) and unstable (the span runtime is comparable to its standard deviation).
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You can click on the name of any span to get a box plot comparing the target commit with multiple commits of the selected branch.
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### Without dashboard
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After the workloads are done running, the reports will live in the Meilisearch repository, in the `bench/reports` directory (by default).
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You can then convert these reports into other formats.
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- To [Firefox profiler](https://profiler.firefox.com) format. Run:
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```sh
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cd bench/reports
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cargo run --release --bin trace-to-firefox -- my_workload_1-0-trace.json
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```
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You can then upload the resulting `firefox-my_workload_1-0-trace.json` file to the online profiler.
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## Designing benchmark workloads
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Benchmark workloads conventionally live in the `workloads` directory of the Meilisearch repository.
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They are JSON files with the following structure (comments are not actually supported, to make your own, remove them or copy some existing workload file):
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```jsonc
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{
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// Name of the workload. Must be unique to the workload, as it will be used to group results on the dashboard.
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"name": "hackernews.ndjson_1M,no-threads",
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// Number of consecutive runs of the commands that should be performed.
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// Each run uses a fresh instance of Meilisearch and a fresh database.
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// Each run produces its own report file.
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"run_count": 3,
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// List of arguments to add to the Meilisearch command line.
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"extra_cli_args": ["--max-indexing-threads=1"],
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// An expression that can be parsed as a comma-separated list of targets and levels
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// as described in [tracing_subscriber's documentation](https://docs.rs/tracing-subscriber/latest/tracing_subscriber/filter/targets/struct.Targets.html#examples).
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// The expression is used to filter the spans that are measured for profiling purposes.
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// Optional, defaults to "indexing::=trace" (for indexing workloads), common other values is
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// "search::=trace"
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"target": "indexing::=trace",
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// List of named assets that can be used in the commands.
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"assets": {
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// name of the asset.
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// Must be unique at the workload level.
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// For better results, the same asset (same sha256) should have the same name accross workloads.
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// Having multiple assets with the same name and distinct hashes is supported accross workloads,
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// but will lead to superfluous downloads.
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//
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// Assets are stored in the `bench/assets/` directory by default.
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"hackernews-100_000.ndjson": {
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// If the assets exists in the local filesystem (Meilisearch repository or for your local workloads)
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// Its file path can be specified here.
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// `null` if the asset should be downloaded from a remote location.
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"local_location": null,
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// URL of the remote location where the asset can be downloaded.
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// Use the `--assets-key` of the runner to pass an API key in the `Authorization: Bearer` header of the download requests.
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// `null` if the asset should be imported from a local location.
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// if both local and remote locations are specified, then the local one is tried first, then the remote one
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// if the file is locally missing or its hash differs.
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"remote_location": "https://milli-benchmarks.fra1.digitaloceanspaces.com/bench/datasets/hackernews/hackernews-100_000.ndjson",
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// SHA256 of the asset.
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// Optional, the `sha256` of the asset will be displayed during a run of the workload if it is missing.
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// If present, the hash of the asset in the `bench/assets/` directory will be compared against this hash before
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// running the workload. If the hashes differ, the asset will be downloaded anew.
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"sha256": "60ecd23485d560edbd90d9ca31f0e6dba1455422f2a44e402600fbb5f7f1b213",
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// Optional, one of "Auto", "Json", "NdJson" or "Raw".
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// If missing, assumed to be "Auto".
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// If "Auto", the format will be determined from the extension in the asset name.
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"format": "NdJson"
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},
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"hackernews-200_000.ndjson": {
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"local_location": null,
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"remote_location": "https://milli-benchmarks.fra1.digitaloceanspaces.com/bench/datasets/hackernews/hackernews-200_000.ndjson",
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"sha256": "785b0271fdb47cba574fab617d5d332276b835c05dd86e4a95251cf7892a1685"
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},
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"hackernews-300_000.ndjson": {
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"local_location": null,
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"remote_location": "https://milli-benchmarks.fra1.digitaloceanspaces.com/bench/datasets/hackernews/hackernews-300_000.ndjson",
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"sha256": "de73c7154652eddfaf69cdc3b2f824d5c452f095f40a20a1c97bb1b5c4d80ab2"
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},
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"hackernews-400_000.ndjson": {
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"local_location": null,
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"remote_location": "https://milli-benchmarks.fra1.digitaloceanspaces.com/bench/datasets/hackernews/hackernews-400_000.ndjson",
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"sha256": "c1b00a24689110f366447e434c201c086d6f456d54ed1c4995894102794d8fe7"
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},
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"hackernews-500_000.ndjson": {
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"local_location": null,
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"remote_location": "https://milli-benchmarks.fra1.digitaloceanspaces.com/bench/datasets/hackernews/hackernews-500_000.ndjson",
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"sha256": "ae98f9dbef8193d750e3e2dbb6a91648941a1edca5f6e82c143e7996f4840083"
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},
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"hackernews-600_000.ndjson": {
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"local_location": null,
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"remote_location": "https://milli-benchmarks.fra1.digitaloceanspaces.com/bench/datasets/hackernews/hackernews-600_000.ndjson",
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"sha256": "b495fdc72c4a944801f786400f22076ab99186bee9699f67cbab2f21f5b74dbe"
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},
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"hackernews-700_000.ndjson": {
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"local_location": null,
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"remote_location": "https://milli-benchmarks.fra1.digitaloceanspaces.com/bench/datasets/hackernews/hackernews-700_000.ndjson",
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"sha256": "4b2c63974f3dabaa4954e3d4598b48324d03c522321ac05b0d583f36cb78a28b"
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},
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"hackernews-800_000.ndjson": {
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"local_location": null,
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"remote_location": "https://milli-benchmarks.fra1.digitaloceanspaces.com/bench/datasets/hackernews/hackernews-800_000.ndjson",
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"sha256": "cb7b6afe0e6caa1be111be256821bc63b0771b2a0e1fad95af7aaeeffd7ba546"
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},
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"hackernews-900_000.ndjson": {
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"local_location": null,
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"remote_location": "https://milli-benchmarks.fra1.digitaloceanspaces.com/bench/datasets/hackernews/hackernews-900_000.ndjson",
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"sha256": "e1154ddcd398f1c867758a93db5bcb21a07b9e55530c188a2917fdef332d3ba9"
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},
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"hackernews-1_000_000.ndjson": {
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"local_location": null,
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"remote_location": "https://milli-benchmarks.fra1.digitaloceanspaces.com/bench/datasets/hackernews/hackernews-1_000_000.ndjson",
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"sha256": "27e25efd0b68b159b8b21350d9af76938710cb29ce0393fa71b41c4f3c630ffe"
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}
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},
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// Core of the workload.
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// A list of commands to run sequentially.
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// Optional: A precommand is a request to the Meilisearch instance that is executed before the profiling runs.
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"precommands": [
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{
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// Meilisearch route to call. `http://localhost:7700/` will be prepended.
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"route": "indexes/movies/settings",
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// HTTP method to call.
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"method": "PATCH",
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// If applicable, body of the request.
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// Optional, if missing, the body will be empty.
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"body": {
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// One of "empty", "inline" or "asset".
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// If using "empty", you can skip the entire "body" key.
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"inline": {
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// when "inline" is used, the body is the JSON object that is the value of the `"inline"` key.
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"displayedAttributes": [
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"title",
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"by",
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"score",
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"time"
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],
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"searchableAttributes": [
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"title"
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],
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"filterableAttributes": [
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"by"
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],
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"sortableAttributes": [
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"score",
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"time"
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]
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}
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},
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// Whether to wait before running the next request.
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// One of:
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// - DontWait: run the next command without waiting the response to this one.
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// - WaitForResponse: run the next command as soon as the response from the server is received.
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// - WaitForTask: run the next command once **all** the Meilisearch tasks created up to now have finished processing.
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"synchronous": "WaitForTask"
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}
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],
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// A command is a request to the Meilisearch instance that is executed while the profiling runs.
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"commands": [
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{
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"route": "indexes/movies/documents",
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"method": "POST",
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"body": {
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// When using "asset", use the name of an asset as value to use the content of that asset as body.
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// the content type is derived of the format of the asset:
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// "NdJson" => "application/x-ndjson"
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// "Json" => "application/json"
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// "Raw" => "application/octet-stream"
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// See [AssetFormat::to_content_type](https://github.com/meilisearch/meilisearch/blob/7b670a4afadb132ac4a01b6403108700501a391d/xtask/src/bench/assets.rs#L30)
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// for details and up-to-date list.
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"asset": "hackernews-100_000.ndjson"
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},
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"synchronous": "WaitForTask"
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},
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{
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"route": "indexes/movies/documents",
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"method": "POST",
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"body": {
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"asset": "hackernews-200_000.ndjson"
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},
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"synchronous": "WaitForResponse"
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},
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{
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"route": "indexes/movies/documents",
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"method": "POST",
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"body": {
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"asset": "hackernews-300_000.ndjson"
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},
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"synchronous": "WaitForResponse"
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},
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{
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"route": "indexes/movies/documents",
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"method": "POST",
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"body": {
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"asset": "hackernews-400_000.ndjson"
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},
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"synchronous": "WaitForResponse"
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},
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{
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"route": "indexes/movies/documents",
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"method": "POST",
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"body": {
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"asset": "hackernews-500_000.ndjson"
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},
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"synchronous": "WaitForResponse"
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},
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{
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"route": "indexes/movies/documents",
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"method": "POST",
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"body": {
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"asset": "hackernews-600_000.ndjson"
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},
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"synchronous": "WaitForResponse"
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},
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{
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"route": "indexes/movies/documents",
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"method": "POST",
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"body": {
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"asset": "hackernews-700_000.ndjson"
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},
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"synchronous": "WaitForResponse"
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},
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{
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"route": "indexes/movies/documents",
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"method": "POST",
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"body": {
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"asset": "hackernews-800_000.ndjson"
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},
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"synchronous": "WaitForResponse"
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},
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{
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"route": "indexes/movies/documents",
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"method": "POST",
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"body": {
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"asset": "hackernews-900_000.ndjson"
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},
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"synchronous": "WaitForResponse"
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},
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{
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"route": "indexes/movies/documents",
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"method": "POST",
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"body": {
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"asset": "hackernews-1_000_000.ndjson"
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},
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"synchronous": "WaitForTask"
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}
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]
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}
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```
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### Adding new assets
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Assets reside in our DigitalOcean S3 space. Assuming you have team access to the DigitalOcean S3 space:
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1. go to <https://cloud.digitalocean.com/spaces/milli-benchmarks?i=d1c552&path=bench%2Fdatasets%2F>
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2. upload your dataset:
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1. if your dataset is a single file, upload that single file using the "upload" button,
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2. otherwise, create a folder using the "create folder" button, then inside that folder upload your individual files.
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## Upgrading `https://bench.meilisearch.dev`
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The URL of the server is in our password manager (look for "benchboard").
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1. Make the needed modifications on the [benchboard repository](https://github.com/meilisearch/benchboard) and merge them to main.
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2. Publish a new release to produce the Ubuntu/Debian binary.
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3. Download the binary locally, send it to the server:
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```
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scp -6 ~/Downloads/benchboard root@\[<ipv6-address>\]:/bench/new-benchboard
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```
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Note that the ipv6 must be between escaped square brackets for SCP.
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4. SSH to the server:
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```
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ssh root@<ipv6-address>
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```
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Note the ipv6 must **NOT** be between escaped square brackets for SSH 🥲
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5. On the server, set the correct permissions for the new binary:
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```
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chown bench:bench /bench/new-benchboard
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chmod 700 /bench/new-benchboard
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```
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6. On the server, move the new binary to the location of the running binary (if unsure, start by making a backup of the running binary):
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```
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mv /bench/{new-,}benchboard
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```
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7. Restart the benchboard service.
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```
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systemctl restart benchboard
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```
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8. Check that the service runs correctly.
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```
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systemctl status benchboard
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```
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9. Check the availability of the service by going to <https://bench.meilisearch.dev> on your browser.
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