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tilebench

tilebench

Inspect HEAD/LIST/GET requests within Rasterio

Test Coverage Package version Downloads Downloads

Source Code: https://github.com/developmentseed/tilebench

Inspect HEAD/GET requests withing Rasterio.

Note: In GDAL 3.2, logging capabilities for /vsicurl, /vsis3 and the like was added (ref: OSGeo/gdal#2742).

Install

You can install tilebench using pip

$ python -m pip install -U pip
$ python -m pip install -U tilebench

or install from source:

git clone https://github.com/developmentseed/tilebench.git
cd tilebench

python -m pip install -U pip
python -m pip install -e .

API

from tilebench import profile
import rasterio

@profile()
def info(src_path: str):
    with rasterio.open(src_path) as src_dst:
        return src_dst.meta

meta = info("https://noaa-eri-pds.s3.amazonaws.com/2022_Hurricane_Ian/20221002a_RGB/20221002aC0795145w325100n.tif")

> 2023-10-18T23:00:11.184745+0200 | TILEBENCH | {"HEAD": {"count": 1}, "GET": {"count": 1, "bytes": 32768, "ranges": ["0-32767"]}, "Timing": 0.7379939556121826}
from tilebench import profile
from rio_tiler.io import Reader

@profile()
def _read_tile(src_path: str, x: int, y: int, z: int, tilesize: int = 256):
    with Reader(src_path) as cog:
        return cog.tile(x, y, z, tilesize=tilesize)

img = _read_tile(
    "https://noaa-eri-pds.s3.amazonaws.com/2022_Hurricane_Ian/20221002a_RGB/20221002aC0795145w325100n.tif",
    9114,
    13216,
    15,
)

> 2023-10-18T23:01:00.572263+0200 | TILEBENCH | {"HEAD": {"count": 1}, "GET": {"count": 2, "bytes": 409600, "ranges": ["0-32767", "32768-409599"]}, "Timing": 1.0749869346618652}

Command Line Interface (CLI)

$ tilebench --help
Usage: tilebench [OPTIONS] COMMAND [ARGS]...

  Command line interface for the tilebench Python package.

Options:
  --help  Show this message and exit.

Commands:
  get-zooms  Get Mercator Zoom levels.
  profile    Profile COGReader Mercator Tile read.
  random     Get random tile.
  viz        WEB UI to visualize VSI statistics for a web mercator tile request

Examples

$ tilebench get-zooms https://noaa-eri-pds.s3.amazonaws.com/2022_Hurricane_Ian/20221002a_RGB/20221002aC0795145w325100n.tif | jq
{
  "minzoom": 14,
  "maxzoom": 19
}

$ tilebench random https://noaa-eri-pds.s3.amazonaws.com/2022_Hurricane_Ian/20221002a_RGB/20221002aC0795145w325100n.tif --zoom 15
15-9114-13215

$ tilebench profile https://noaa-eri-pds.s3.amazonaws.com/2022_Hurricane_Ian/20221002a_RGB/20221002aC0795145w325100n.tif --tile 15-9114-13215 --config GDAL_DISABLE_READDIR_ON_OPEN=EMPTY_DIR | jq
{
  "HEAD": {
    "count": 1
  },
  "GET": {
    "count": 2,
    "bytes": 409600,
    "ranges": [
      "0-32767",
      "32768-409599"
    ]
  },
  "Timing": 0.9715230464935303
}

$ tilebench profile https://noaa-eri-pds.s3.amazonaws.com/2022_Hurricane_Ian/20221002a_RGB/20221002aC0795145w325100n.tif --tile 15-9114-13215 --config GDAL_DISABLE_READDIR_ON_OPEN=FALSE | jq
{
  "HEAD": {
    "count": 8
  },
  "GET": {
    "count": 3,
    "bytes": 409600,
    "ranges": [
      "0-32767",
      "32768-409599"
    ]
  },
  "Timing": 2.1837549209594727
}

Starlette Middleware

Warning: This is highly experimental and should not be used in production (#6)

In addition of the viz CLI we added a starlette middleware to easily integrate VSI statistics in your web services.

from fastapi import FastAPI

from tilebench.middleware import VSIStatsMiddleware

app = FastAPI()
app.add_middleware(VSIStatsMiddleware)

The middleware will add a vsi-stats entry in the response headers in form of:

vsi-stats: list;count=1, head;count=1, get;count=2;size=196608, ranges; values=0-65535|65536-196607

Some paths may be excluded from being handeld by the middleware by the exclude_paths argument:

app.add_middleware(VSIStatsMiddleware, exclude_paths=["/foo", "/bar"])

GDAL config options

  • CPL_TIMESTAMP: Add timings on GDAL Logs
  • GDAL_DISABLE_READDIR_ON_OPEN: Allow or Disable listing of files in the directory (e.g external overview)
  • GDAL_INGESTED_BYTES_AT_OPEN: Control how many bytes GDAL will ingest when opening a dataset (useful when a file has a big header)
  • CPL_VSIL_CURL_ALLOWED_EXTENSIONS: Limit valid external files
  • GDAL_CACHEMAX: Cache size
  • GDAL_HTTP_MERGE_CONSECUTIVE_RANGES
  • VSI_CACHE
  • VSI_CACHE_SIZE

See the full list at https://gdal.org/user/configoptions.html

Internal tiles Vs Mercator grid

$ tilebench viz https://noaa-eri-pds.s3.amazonaws.com/2022_Hurricane_Ian/20221002a_RGB/20221002aC0795145w325100n.tif --config GDAL_DISABLE_READDIR_ON_OPEN=EMPTY_DIR

Blue lines represent the mercator grid for a specific zoom level and the red lines represent the internal tiles bounds

We can then click on a mercator tile and see how much requests GDAL/RASTERIO does.

Docker

Ready to use docker image can be found on Github registry.

docker run \
  --volume "$PWD":/data \
  --platform linux/amd64 \
  --rm -it -p 8080:8080 ghcr.io/developmentseed/tilebench:latest \
  tilebench viz --host 0.0.0.0 https://noaa-eri-pds.s3.us-east-1.amazonaws.com/2020_Nashville_Tornado/20200307a_RGB/20200307aC0865700w360900n.tif

Contribution & Development

See CONTRIBUTING.md

License

See LICENSE

Authors

See contributors for a listing of individual contributors.

Changes

See CHANGES.md.