68 lines
2.6 KiB
Bash
68 lines
2.6 KiB
Bash
# This file defines default environment variables for all images
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# Layers definition and meta data
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TILESET_FILE=openmaptiles.yaml
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# Use 3-part patch version to ignore patch updates, e.g. 7.0.0
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TOOLS_VERSION=7.1
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# Make sure these values are in sync with the ones in .env-postgres file
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PGDATABASE=openmaptiles
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PGUSER=openmaptiles
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PGPASSWORD=openmaptiles
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PGHOST=postgres
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PGPORT=5432
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# BBOX may get overwritten by the computed bbox of the specific area:
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# make generate-bbox-file
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# By default, the Makefile will use the content of data/$(area).bbox file if it exists.
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#BBOX=4.964926,50.882471,5.411252,51.071236
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#BBOX=4.964926,50.882471,5.411252,51.071236
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# Which zooms to generate with make generate-tiles-pg
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MIN_ZOOM=0
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MAX_ZOOM=16
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# `MID_ZOOM` setting only works with `make generate-tiles-pg` command. Make sure MID_ZOOM < MAX_ZOOM.
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# See https://github.com/openmaptiles/openmaptiles-tools/pull/383
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# MID_ZOOM=11
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# Use true (case sensitive) to allow data updates
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DIFF_MODE=false
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# The current setup assumes this file is placed inside the data/ dir
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MBTILES_FILE=tiles.mbtiles
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# This is the current repl_config.json location, pre-configured in the tools Dockerfile
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# Makefile and quickstart replace it with the dynamically generated one, but we keep it here in case some other method is used to run.
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IMPOSM_CONFIG_FILE=/usr/src/app/config/repl_config.json
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# Number of parallel processes to use when importing sql files
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MAX_PARALLEL_PSQL=5
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#MAX_PARALLEL_PSQL=16
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# Number of concurrent IO ops to use when generating vector map tiles
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# Set to ridiculous high values for SSD/NVME
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# Test results: (These were without setting UV_THREADPOOL_SIZE)
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# 64: ~100/s peak
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# 256: ~200/s peak, stabilizes to a 50% improvement over 64 concurrency
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# 1024: ~400/s peak, still at 400/s speed after a few minutes (unlike before, oddly enough)
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# 4096: ~250/s peak, stabilizes to 200. But it appears to be choking on something, only updates progress periodically
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# 1024 & 24 Threads: ~700/s peak - drops to 214s after 10mins, 178/s after 15mins. EST after 20min: 23hours
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# Postgres is mainly idle during all of this (coarse dataset), using only half a core
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# To be tested if 1 core is dedicated to postgres and the others to tilelive(UV_THREADPOOL_SIZE)
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# will prove to be more efficient on average. Or just UV_THREADPOOL_SIZE==CPU_THREADS.
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#COPY_CONCURRENCY=10
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COPY_CONCURRENCY=64
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#COPY_CONCURRENCY=256
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#COPY_CONCURRENCY=512
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#COPY_CONCURRENCY=1024
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#COPY_CONCURRENCY=4096
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#UV_THREADPOOL_SIZE=16
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#UV_THREADPOOL_SIZE=24
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# Variables for generate tiles using tilelive-pgquery
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PGHOSTS_LIST=
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