mirror of
https://github.com/a-b-street/abstreet.git
synced 2024-11-24 01:15:12 +03:00
123 lines
3.9 KiB
Bash
Executable File
123 lines
3.9 KiB
Bash
Executable File
#!/bin/bash
|
|
# This script packages up the importer as it exists in the current git repo,
|
|
# creates a bunch of GCE VMs, and runs the importer there on all cities, using
|
|
# static sharding.
|
|
#
|
|
# This process is only runnable by Dustin, due to current GCE/S3 permissions.
|
|
#
|
|
# Run from the repo's root dir: cloud/start_batch_import.sh
|
|
|
|
set -e
|
|
set -x
|
|
|
|
EXPERIMENT_TAG=$1
|
|
if [ "$EXPERIMENT_TAG" == "" ]; then
|
|
echo Missing args;
|
|
exit 1;
|
|
fi
|
|
|
|
if [ "$2" != "gcs_sync_done" ]; then
|
|
echo First go sync dev/data/input from S3 to GCS. https://console.cloud.google.com/transfer/cloud/jobs
|
|
exit 1;
|
|
fi
|
|
|
|
NUM_WORKERS=10
|
|
ZONE=us-east1-b
|
|
# See other options: https://cloud.google.com/compute/docs/machine-types
|
|
# Particularly... e2-standard-2, n2-standard-2, c2-standard-4
|
|
SMALL_MACHINE_TYPE=e2-standard-2
|
|
LARGE_MACHINE_TYPE=c2-standard-4
|
|
# All of data/ is currently around 30GB
|
|
DISK_SIZE=40GB
|
|
# Compressing and checksumming gigantic files needs more IOPS
|
|
# TODO But wait, e2-standard-2 doesn't support local PD?!
|
|
DISK_TYPE=pd-ssd
|
|
# Haha, using a project from college, my last traffic sim...
|
|
PROJECT=aorta-routes
|
|
|
|
function build_payload {
|
|
# It's a faster workflow to copy the local binaries into the VMs, rather than
|
|
# build them there.
|
|
cargo build --release --bin updater -- download
|
|
# This is needed to regenerate popdat.bin for Seattle. It requires the
|
|
# VMs to have a matching GDAL version. Since the VM runs the same
|
|
# version of Ubuntu as I do locally, this works out fine.
|
|
cargo build --release --bin cli --features importer/scenarios
|
|
|
|
# Build our payload for the VMs
|
|
# This mkdir deliberately fails if the directory is already there; it probably
|
|
# means the last run broke somehow
|
|
mkdir worker_payload
|
|
mkdir -p worker_payload/target/release
|
|
cp target/release/cli worker_payload/target/release/cli
|
|
cp target/release/updater worker_payload/target/release/
|
|
mkdir worker_payload/data
|
|
cp data/MANIFEST.json worker_payload/data
|
|
mkdir worker_payload/importer
|
|
cp -Rv importer/config worker_payload/importer
|
|
cp cloud/worker_script.sh worker_payload/
|
|
# Copy in AWS credentials! Obviously don't go making worker_payload/ public or
|
|
# letting anybody into the VMs.
|
|
#
|
|
# Alternatively, I could just scp the files from the VMs back to my local
|
|
# computer. But more than likely, GCE's upstream speed to S3 (even
|
|
# cross-region) is better than Comcast. :)
|
|
cp -Rv ~/.aws worker_payload/
|
|
zip -r worker_payload worker_payload
|
|
}
|
|
|
|
function create_vms {
|
|
# Ideally we'd use the bulk API, but someone's not on top of those
|
|
# gcloud integration tests...
|
|
# https://issuetracker.google.com/issues/188462253
|
|
for ((i = 0; i < $NUM_WORKERS; i++)); do
|
|
# The first shard always handles Seattle, which needs more than
|
|
# 8GB of memory. Just give it really hefty hardware.
|
|
if [ $i == 0 ]; then
|
|
machine_type=$LARGE_MACHINE_TYPE;
|
|
else
|
|
machine_type=$SMALL_MACHINE_TYPE;
|
|
fi
|
|
|
|
gcloud compute \
|
|
--project=$PROJECT \
|
|
instances create "worker-$i" \
|
|
--zone=$ZONE \
|
|
--machine-type=$machine_type \
|
|
--boot-disk-size=$DISK_SIZE \
|
|
--boot-disk-type=$DISK_TYPE \
|
|
--image-family=ubuntu-2004-lts \
|
|
--image-project=ubuntu-os-cloud \
|
|
--scopes=compute-rw,storage-ro
|
|
done
|
|
|
|
# There's a funny history behind the whole "how do I wait for my VM to be
|
|
# SSHable?" question...
|
|
sleep 30s
|
|
}
|
|
|
|
function start_workers {
|
|
for ((i = 0; i < $NUM_WORKERS; i++)); do
|
|
gcloud compute scp \
|
|
--project=$PROJECT \
|
|
--zone=$ZONE \
|
|
worker_payload.zip \
|
|
worker-$i:~/worker_payload.zip
|
|
gcloud compute ssh \
|
|
--project=$PROJECT \
|
|
--zone=$ZONE \
|
|
worker-$i \
|
|
--command="sudo apt-get -qq install -y unzip; unzip -q worker_payload.zip; ./worker_payload/worker_script.sh $EXPERIMENT_TAG $i $NUM_WORKERS 1> logs 2>&1 &"
|
|
done
|
|
}
|
|
|
|
build_payload
|
|
create_vms
|
|
start_workers
|
|
|
|
# To follow along with a worker:
|
|
# > gcloud compute ssh worker-5 --command='tail -f logs'
|
|
#
|
|
# To see which workers are still running (or have failed):
|
|
# > gcloud compute instances list
|