def configure_parser(parser: argparse.ArgumentParser) -> None:
check_required_vars()
parser.add_argument(
"who",
nargs="*",
help="Whose instances to show (defaults to yourself)",
default=[whoami()],
)
parser.add_argument("--all", help="Show all instances", action="store_true")
parser.add_argument("--output-format", choices=["table", "csv"], default="table")
def run(args: argparse.Namespace) -> None:
extra_tags = {}
if args.extra_tags:
extra_tags = json.loads(args.extra_tags)
if not isinstance(extra_tags, dict) or not all(
isinstance(k, str) and isinstance(v, str)
for k, v in extra_tags.items()):
raise RuntimeError(
"extra-tags must be a JSON dictionary of strings to strings")
check_required_vars()
extra_tags["LaunchedBy"] = whoami()
if args.machine:
with open(ROOT / "misc" / "scratch" /
"{}.json".format(args.machine)) as f:
print("Reading machine configs from {}".format(f.name))
descs = [
MachineDesc.parse_obj(obj) for obj in multi_json(f.read())
]
else:
print("Reading machine configs from stdin...")
descs = [
MachineDesc.parse_obj(obj) for obj in multi_json(sys.stdin.read())
]
if args.ssh and len(descs) != 1:
raise RuntimeError("Cannot use `--ssh` with {} instances".format(
len(descs)))
if args.max_age_days <= 0:
raise RuntimeError(
f"max_age_days must be positive, got {args.max_age_days}")
max_age = datetime.timedelta(days=args.max_age_days)
instances = launch_cluster(
descs,
subnet_id=args.subnet_id,
key_name=args.key_name,
security_group_id=args.security_group_id,
instance_profile=args.instance_profile,
extra_tags=extra_tags,
delete_after=datetime.datetime.utcnow() + max_age,
git_rev=args.git_rev,
extra_env={},
)
print("Launched instances:")
print_instances(instances, args.output_format)
if args.ssh:
print("ssh-ing into: {}".format(instances[0].instance_id))
mssh(instances[0], "")
def run(args: argparse.Namespace) -> None:
filters: List[FilterTypeDef] = []
if not args.all:
filters.append({
"Name": "tag:LaunchedBy",
"Values": args.who or [whoami()]
})
print_instances(
list(boto3.resource("ec2").instances.filter(Filters=filters)),
args.output_format,
)
def run(args: argparse.Namespace) -> None:
instance_profile = None if args.no_instance_profile else args.instance_profile
extra_tags = {}
if args.extra_tags:
extra_tags = json.loads(args.extra_tags)
if not isinstance(extra_tags, dict) or not all(
isinstance(k, str) and isinstance(v, str) for k, v in extra_tags.items()
):
raise RuntimeError(
"extra-tags must be a JSON dictionary of strings to strings"
)
check_required_vars()
extra_tags["LaunchedBy"] = whoami()
descs = [
MachineDesc(
name=obj["name"],
launch_script=obj.get("launch_script"),
instance_type=obj["instance_type"],
ami=obj["ami"],
tags=obj.get("tags", dict()),
size_gb=obj["size_gb"],
checkout=obj.get("checkout", True),
)
for obj in multi_json(sys.stdin.read())
]
nonce = util.nonce(8)
delete_after = now_plus(MAX_AGE)
instances = launch_cluster(
descs,
nonce,
args.subnet_id,
args.key_name,
args.security_group_id,
instance_profile,
extra_tags,
delete_after,
args.git_rev,
extra_env={},
)
print("Launched instances:")
print_instances(instances, args.output_format)
def run(args: argparse.Namespace) -> None:
check_required_vars()
instance_ids = []
filters: List[FilterTypeDef] = [{
"Name":
"instance-state-name",
"Values": ["pending", "running", "stopping", "stopped"],
}]
if args.all_mine:
if args.instances:
print(
"scratch: error: cannot specify --all-mine and instance IDs",
file=sys.stderr,
)
sys.exit(1)
filters.append({"Name": "tag:LaunchedBy", "Values": [whoami()]})
elif not args.instances:
print(
"scratch: error: must supply at least one instance ID to destroy",
file=sys.stderr,
)
sys.exit(1)
else:
instance_ids.extend(args.instances)
instances = list(
boto3.resource("ec2").instances.filter(Filters=filters,
InstanceIds=instance_ids))
print("Destroying instances:")
print_instances(instances, args.output_format)
if not args.yes and not ui.confirm("Would you like to continue?"):
sys.exit(0)
for instance in instances:
instance.terminate()
print("Instances destroyed.")
def start(ns: argparse.Namespace) -> None:
check_required_vars()
revs = ns.revs.split(",")
clusters = list(
itertools.product(range(ns.trials),
(git.rev_parse(rev) for rev in revs)))
bench_script = ns.bench_script
script_name = bench_script[0]
script_args = " ".join((shlex.quote(arg) for arg in bench_script[1:]))
# zip up the `misc` repository, for shipment to the remote machine
os.chdir("misc/python")
spawn.runv(["python3", "./setup.py", "sdist"])
with open("./dist/materialize-0.0.0.tar.gz", "rb") as f:
pkg_data = f.read()
os.chdir(os.environ["MZ_ROOT"])
if ns.append_metadata:
munge_result = 'awk \'{ if (NR == 1) { print $0 ",Timestamp,BenchId,ClusterId,GitRef,S3Root" } else { print $0 ",\'$(date +%s)",$MZ_CB_BENCH_ID,$MZ_CB_CLUSTER_ID,$MZ_CB_GIT_REV,$MZ_CB_S3_ROOT"\'"}}\''
else:
munge_result = "cat"
mz_launch_script = f"""echo {shlex.quote(base64.b64encode(pkg_data).decode('utf-8'))} | base64 -d > mz.tar.gz
python3 -m venv /tmp/mzenv >&2
. /tmp/mzenv/bin/activate >&2
python3 -m pip install --upgrade pip >&2
pip3 install ./mz.tar.gz[dev] >&2
MZ_ROOT=/home/ubuntu/materialize python3 -u -m {script_name} {script_args}
result=$?
echo $result > ~/bench_exit_code
if [ $result -eq 0 ]; then
{munge_result} < ~/mzscratch-startup.out | aws s3 cp - s3://{ns.s3_root}/$MZ_CB_BENCH_ID/$MZ_CB_CLUSTER_ID.csv >&2
else
aws s3 cp - s3://{ns.s3_root}/$MZ_CB_BENCH_ID/$MZ_CB_CLUSTER_ID-FAILURE.out < ~/mzscratch-startup.out >&2
aws s3 cp - s3://{ns.s3_root}/$MZ_CB_BENCH_ID/$MZ_CB_CLUSTER_ID-FAILURE.err < ~/mzscratch-startup.err
fi
sudo shutdown -h now # save some money
"""
if ns.profile == "basic":
descs = [
scratch.MachineDesc(
name="materialized",
launch_script=mz_launch_script,
instance_type="r5a.4xlarge",
ami="ami-0b29b6e62f2343b46",
tags={},
size_gb=64,
),
]
elif ns.profile == "confluent":
confluent_launch_script = f"""bin/mzcompose --mz-find load-tests up"""
descs = [
scratch.MachineDesc(
name="materialized",
launch_script=mz_launch_script,
instance_type="r5a.4xlarge",
ami="ami-0b29b6e62f2343b46",
tags={},
size_gb=64,
),
scratch.MachineDesc(
name="confluent",
launch_script=confluent_launch_script,
instance_type="r5a.4xlarge",
ami="ami-0b29b6e62f2343b46",
tags={},
size_gb=1000,
checkout=False,
),
]
else:
raise RuntimeError(f"Profile {ns.profile} is not implemented yet")
bench_id = util.nonce(8)
manifest_bytes = "".join(f"{i}-{rev}\n"
for i, rev in clusters).encode("utf-8")
boto3.client("s3").put_object(Body=manifest_bytes,
Bucket="mz-cloudbench",
Key=f"{bench_id}/MANIFEST")
# TODO - Do these in parallel
launched = []
for (i, rev) in clusters:
launched += scratch.launch_cluster(
descs=descs,
nonce=f"{bench_id}-{i}-{rev}",
subnet_id=DEFAULT_SUBNET_ID,
security_group_id=DEFAULT_SG_ID,
instance_profile=DEFAULT_INSTPROF_NAME,
key_name=None,
extra_tags={
"bench_id": bench_id,
"bench_rev": rev,
"bench_i": str(i),
"LaunchedBy": scratch.whoami(),
},
extra_env={
"MZ_CB_BENCH_ID": bench_id,
"MZ_CB_CLUSTER_ID": f"{i}-{rev}",
"MZ_CB_GIT_REV": rev,
"MZ_CB_S3_ROOT": ns.s3_root,
},
delete_after=scratch.now_plus(timedelta(days=1)),
git_rev=rev,
)
print("Launched instances:")
print_instances(launched, format="table") # todo
print(f"""Launched cloud bench with ID {bench_id}.
To wait for results, run: bin/cloudbench check {bench_id}""")