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spark-instrumented-optimizer/ec2/spark_ec2.py
Nicholas Chammas 31f48e5af8 [SPARK-8576] Add spark-ec2 options to set IAM roles and instance-initiated shutdown behavior 
Both of these options are useful when spark-ec2 is being used as part of an automated pipeline and the engineers want to minimize the need to pass around AWS keys for access to things like S3 (keys are replaced by the IAM role) and to be able to launch a cluster that can terminate itself cleanly.

Author: Nicholas Chammas <nicholas.chammas@gmail.com>

Closes #6962 from nchammas/additional-ec2-options and squashes the following commits:

fcf252e [Nicholas Chammas] PEP8 fixes
efba9ee [Nicholas Chammas] add help for --instance-initiated-shutdown-behavior
598aecf [Nicholas Chammas] option to launch instances into IAM role
2743632 [Nicholas Chammas] add option for instance initiated shutdown
2015-06-24 11:20:51 -07:00

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#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
from __future__ import division, print_function, with_statement
import codecs
import hashlib
import itertools
import logging
import os
import os.path
import pipes
import random
import shutil
import string
from stat import S_IRUSR
import subprocess
import sys
import tarfile
import tempfile
import textwrap
import time
import warnings
from datetime import datetime
from optparse import OptionParser
from sys import stderr
if sys.version < "3":
from urllib2 import urlopen, Request, HTTPError
else:
from urllib.request import urlopen, Request
from urllib.error import HTTPError
raw_input = input
xrange = range
SPARK_EC2_VERSION = "1.4.0"
SPARK_EC2_DIR = os.path.dirname(os.path.realpath(__file__))
VALID_SPARK_VERSIONS = set([
"0.7.3",
"0.8.0",
"0.8.1",
"0.9.0",
"0.9.1",
"0.9.2",
"1.0.0",
"1.0.1",
"1.0.2",
"1.1.0",
"1.1.1",
"1.2.0",
"1.2.1",
"1.3.0",
"1.3.1",
"1.4.0",
])
SPARK_TACHYON_MAP = {
"1.0.0": "0.4.1",
"1.0.1": "0.4.1",
"1.0.2": "0.4.1",
"1.1.0": "0.5.0",
"1.1.1": "0.5.0",
"1.2.0": "0.5.0",
"1.2.1": "0.5.0",
"1.3.0": "0.5.0",
"1.3.1": "0.5.0",
"1.4.0": "0.6.4",
}
DEFAULT_SPARK_VERSION = SPARK_EC2_VERSION
DEFAULT_SPARK_GITHUB_REPO = "https://github.com/apache/spark"
# Default location to get the spark-ec2 scripts (and ami-list) from
DEFAULT_SPARK_EC2_GITHUB_REPO = "https://github.com/mesos/spark-ec2"
DEFAULT_SPARK_EC2_BRANCH = "branch-1.4"
def setup_external_libs(libs):
"""
Download external libraries from PyPI to SPARK_EC2_DIR/lib/ and prepend them to our PATH.
"""
PYPI_URL_PREFIX = "https://pypi.python.org/packages/source"
SPARK_EC2_LIB_DIR = os.path.join(SPARK_EC2_DIR, "lib")
if not os.path.exists(SPARK_EC2_LIB_DIR):
print("Downloading external libraries that spark-ec2 needs from PyPI to {path}...".format(
path=SPARK_EC2_LIB_DIR
))
print("This should be a one-time operation.")
os.mkdir(SPARK_EC2_LIB_DIR)
for lib in libs:
versioned_lib_name = "{n}-{v}".format(n=lib["name"], v=lib["version"])
lib_dir = os.path.join(SPARK_EC2_LIB_DIR, versioned_lib_name)
if not os.path.isdir(lib_dir):
tgz_file_path = os.path.join(SPARK_EC2_LIB_DIR, versioned_lib_name + ".tar.gz")
print(" - Downloading {lib}...".format(lib=lib["name"]))
download_stream = urlopen(
"{prefix}/{first_letter}/{lib_name}/{lib_name}-{lib_version}.tar.gz".format(
prefix=PYPI_URL_PREFIX,
first_letter=lib["name"][:1],
lib_name=lib["name"],
lib_version=lib["version"]
)
)
with open(tgz_file_path, "wb") as tgz_file:
tgz_file.write(download_stream.read())
with open(tgz_file_path) as tar:
if hashlib.md5(tar.read()).hexdigest() != lib["md5"]:
print("ERROR: Got wrong md5sum for {lib}.".format(lib=lib["name"]), file=stderr)
sys.exit(1)
tar = tarfile.open(tgz_file_path)
tar.extractall(path=SPARK_EC2_LIB_DIR)
tar.close()
os.remove(tgz_file_path)
print(" - Finished downloading {lib}.".format(lib=lib["name"]))
sys.path.insert(1, lib_dir)
# Only PyPI libraries are supported.
external_libs = [
{
"name": "boto",
"version": "2.34.0",
"md5": "5556223d2d0cc4d06dd4829e671dcecd"
}
]
setup_external_libs(external_libs)
import boto
from boto.ec2.blockdevicemapping import BlockDeviceMapping, BlockDeviceType, EBSBlockDeviceType
from boto import ec2
class UsageError(Exception):
pass
# Configure and parse our command-line arguments
def parse_args():
parser = OptionParser(
prog="spark-ec2",
version="%prog {v}".format(v=SPARK_EC2_VERSION),
usage="%prog [options] <action> <cluster_name>\n\n"
+ "<action> can be: launch, destroy, login, stop, start, get-master, reboot-slaves")
parser.add_option(
"-s", "--slaves", type="int", default=1,
help="Number of slaves to launch (default: %default)")
parser.add_option(
"-w", "--wait", type="int",
help="DEPRECATED (no longer necessary) - Seconds to wait for nodes to start")
parser.add_option(
"-k", "--key-pair",
help="Key pair to use on instances")
parser.add_option(
"-i", "--identity-file",
help="SSH private key file to use for logging into instances")
parser.add_option(
"-t", "--instance-type", default="m1.large",
help="Type of instance to launch (default: %default). " +
"WARNING: must be 64-bit; small instances won't work")
parser.add_option(
"-m", "--master-instance-type", default="",
help="Master instance type (leave empty for same as instance-type)")
parser.add_option(
"-r", "--region", default="us-east-1",
help="EC2 region used to launch instances in, or to find them in (default: %default)")
parser.add_option(
"-z", "--zone", default="",
help="Availability zone to launch instances in, or 'all' to spread " +
"slaves across multiple (an additional $0.01/Gb for bandwidth" +
"between zones applies) (default: a single zone chosen at random)")
parser.add_option(
"-a", "--ami",
help="Amazon Machine Image ID to use")
parser.add_option(
"-v", "--spark-version", default=DEFAULT_SPARK_VERSION,
help="Version of Spark to use: 'X.Y.Z' or a specific git hash (default: %default)")
parser.add_option(
"--spark-git-repo",
default=DEFAULT_SPARK_GITHUB_REPO,
help="Github repo from which to checkout supplied commit hash (default: %default)")
parser.add_option(
"--spark-ec2-git-repo",
default=DEFAULT_SPARK_EC2_GITHUB_REPO,
help="Github repo from which to checkout spark-ec2 (default: %default)")
parser.add_option(
"--spark-ec2-git-branch",
default=DEFAULT_SPARK_EC2_BRANCH,
help="Github repo branch of spark-ec2 to use (default: %default)")
parser.add_option(
"--deploy-root-dir",
default=None,
help="A directory to copy into / on the first master. " +
"Must be absolute. Note that a trailing slash is handled as per rsync: " +
"If you omit it, the last directory of the --deploy-root-dir path will be created " +
"in / before copying its contents. If you append the trailing slash, " +
"the directory is not created and its contents are copied directly into /. " +
"(default: %default).")
parser.add_option(
"--hadoop-major-version", default="1",
help="Major version of Hadoop. Valid options are 1 (Hadoop 1.0.4), 2 (CDH 4.2.0), yarn " +
"(Hadoop 2.4.0) (default: %default)")
parser.add_option(
"-D", metavar="[ADDRESS:]PORT", dest="proxy_port",
help="Use SSH dynamic port forwarding to create a SOCKS proxy at " +
"the given local address (for use with login)")
parser.add_option(
"--resume", action="store_true", default=False,
help="Resume installation on a previously launched cluster " +
"(for debugging)")
parser.add_option(
"--ebs-vol-size", metavar="SIZE", type="int", default=0,
help="Size (in GB) of each EBS volume.")
parser.add_option(
"--ebs-vol-type", default="standard",
help="EBS volume type (e.g. 'gp2', 'standard').")
parser.add_option(
"--ebs-vol-num", type="int", default=1,
help="Number of EBS volumes to attach to each node as /vol[x]. " +
"The volumes will be deleted when the instances terminate. " +
"Only possible on EBS-backed AMIs. " +
"EBS volumes are only attached if --ebs-vol-size > 0." +
"Only support up to 8 EBS volumes.")
parser.add_option(
"--placement-group", type="string", default=None,
help="Which placement group to try and launch " +
"instances into. Assumes placement group is already " +
"created.")
parser.add_option(
"--swap", metavar="SWAP", type="int", default=1024,
help="Swap space to set up per node, in MB (default: %default)")
parser.add_option(
"--spot-price", metavar="PRICE", type="float",
help="If specified, launch slaves as spot instances with the given " +
"maximum price (in dollars)")
parser.add_option(
"--ganglia", action="store_true", default=True,
help="Setup Ganglia monitoring on cluster (default: %default). NOTE: " +
"the Ganglia page will be publicly accessible")
parser.add_option(
"--no-ganglia", action="store_false", dest="ganglia",
help="Disable Ganglia monitoring for the cluster")
parser.add_option(
"-u", "--user", default="root",
help="The SSH user you want to connect as (default: %default)")
parser.add_option(
"--delete-groups", action="store_true", default=False,
help="When destroying a cluster, delete the security groups that were created")
parser.add_option(
"--use-existing-master", action="store_true", default=False,
help="Launch fresh slaves, but use an existing stopped master if possible")
parser.add_option(
"--worker-instances", type="int", default=1,
help="Number of instances per worker: variable SPARK_WORKER_INSTANCES. Not used if YARN " +
"is used as Hadoop major version (default: %default)")
parser.add_option(
"--master-opts", type="string", default="",
help="Extra options to give to master through SPARK_MASTER_OPTS variable " +
"(e.g -Dspark.worker.timeout=180)")
parser.add_option(
"--user-data", type="string", default="",
help="Path to a user-data file (most AMIs interpret this as an initialization script)")
parser.add_option(
"--authorized-address", type="string", default="0.0.0.0/0",
help="Address to authorize on created security groups (default: %default)")
parser.add_option(
"--additional-security-group", type="string", default="",
help="Additional security group to place the machines in")
parser.add_option(
"--additional-tags", type="string", default="",
help="Additional tags to set on the machines; tags are comma-separated, while name and " +
"value are colon separated; ex: \"Task:MySparkProject,Env:production\"")
parser.add_option(
"--copy-aws-credentials", action="store_true", default=False,
help="Add AWS credentials to hadoop configuration to allow Spark to access S3")
parser.add_option(
"--subnet-id", default=None,
help="VPC subnet to launch instances in")
parser.add_option(
"--vpc-id", default=None,
help="VPC to launch instances in")
parser.add_option(
"--private-ips", action="store_true", default=False,
help="Use private IPs for instances rather than public if VPC/subnet " +
"requires that.")
parser.add_option(
"--instance-initiated-shutdown-behavior", default="stop",
choices=["stop", "terminate"],
help="Whether instances should terminate when shut down or just stop")
parser.add_option(
"--instance-profile-name", default=None,
help="IAM profile name to launch instances under")
(opts, args) = parser.parse_args()
if len(args) != 2:
parser.print_help()
sys.exit(1)
(action, cluster_name) = args
# Boto config check
# http://boto.cloudhackers.com/en/latest/boto_config_tut.html
home_dir = os.getenv('HOME')
if home_dir is None or not os.path.isfile(home_dir + '/.boto'):
if not os.path.isfile('/etc/boto.cfg'):
if os.getenv('AWS_ACCESS_KEY_ID') is None:
print("ERROR: The environment variable AWS_ACCESS_KEY_ID must be set",
file=stderr)
sys.exit(1)
if os.getenv('AWS_SECRET_ACCESS_KEY') is None:
print("ERROR: The environment variable AWS_SECRET_ACCESS_KEY must be set",
file=stderr)
sys.exit(1)
return (opts, action, cluster_name)
# Get the EC2 security group of the given name, creating it if it doesn't exist
def get_or_make_group(conn, name, vpc_id):
groups = conn.get_all_security_groups()
group = [g for g in groups if g.name == name]
if len(group) > 0:
return group[0]
else:
print("Creating security group " + name)
return conn.create_security_group(name, "Spark EC2 group", vpc_id)
def get_validate_spark_version(version, repo):
if "." in version:
version = version.replace("v", "")
if version not in VALID_SPARK_VERSIONS:
print("Don't know about Spark version: {v}".format(v=version), file=stderr)
sys.exit(1)
return version
else:
github_commit_url = "{repo}/commit/{commit_hash}".format(repo=repo, commit_hash=version)
request = Request(github_commit_url)
request.get_method = lambda: 'HEAD'
try:
response = urlopen(request)
except HTTPError as e:
print("Couldn't validate Spark commit: {url}".format(url=github_commit_url),
file=stderr)
print("Received HTTP response code of {code}.".format(code=e.code), file=stderr)
sys.exit(1)
return version
# Source: http://aws.amazon.com/amazon-linux-ami/instance-type-matrix/
# Last Updated: 2015-06-19
# For easy maintainability, please keep this manually-inputted dictionary sorted by key.
EC2_INSTANCE_TYPES = {
"c1.medium": "pvm",
"c1.xlarge": "pvm",
"c3.large": "pvm",
"c3.xlarge": "pvm",
"c3.2xlarge": "pvm",
"c3.4xlarge": "pvm",
"c3.8xlarge": "pvm",
"c4.large": "hvm",
"c4.xlarge": "hvm",
"c4.2xlarge": "hvm",
"c4.4xlarge": "hvm",
"c4.8xlarge": "hvm",
"cc1.4xlarge": "hvm",
"cc2.8xlarge": "hvm",
"cg1.4xlarge": "hvm",
"cr1.8xlarge": "hvm",
"d2.xlarge": "hvm",
"d2.2xlarge": "hvm",
"d2.4xlarge": "hvm",
"d2.8xlarge": "hvm",
"g2.2xlarge": "hvm",
"g2.8xlarge": "hvm",
"hi1.4xlarge": "pvm",
"hs1.8xlarge": "pvm",
"i2.xlarge": "hvm",
"i2.2xlarge": "hvm",
"i2.4xlarge": "hvm",
"i2.8xlarge": "hvm",
"m1.small": "pvm",
"m1.medium": "pvm",
"m1.large": "pvm",
"m1.xlarge": "pvm",
"m2.xlarge": "pvm",
"m2.2xlarge": "pvm",
"m2.4xlarge": "pvm",
"m3.medium": "hvm",
"m3.large": "hvm",
"m3.xlarge": "hvm",
"m3.2xlarge": "hvm",
"m4.large": "hvm",
"m4.xlarge": "hvm",
"m4.2xlarge": "hvm",
"m4.4xlarge": "hvm",
"m4.10xlarge": "hvm",
"r3.large": "hvm",
"r3.xlarge": "hvm",
"r3.2xlarge": "hvm",
"r3.4xlarge": "hvm",
"r3.8xlarge": "hvm",
"t1.micro": "pvm",
"t2.micro": "hvm",
"t2.small": "hvm",
"t2.medium": "hvm",
"t2.large": "hvm",
}
def get_tachyon_version(spark_version):
return SPARK_TACHYON_MAP.get(spark_version, "")
# Attempt to resolve an appropriate AMI given the architecture and region of the request.
def get_spark_ami(opts):
if opts.instance_type in EC2_INSTANCE_TYPES:
instance_type = EC2_INSTANCE_TYPES[opts.instance_type]
else:
instance_type = "pvm"
print("Don't recognize %s, assuming type is pvm" % opts.instance_type, file=stderr)
# URL prefix from which to fetch AMI information
ami_prefix = "{r}/{b}/ami-list".format(
r=opts.spark_ec2_git_repo.replace("https://github.com", "https://raw.github.com", 1),
b=opts.spark_ec2_git_branch)
ami_path = "%s/%s/%s" % (ami_prefix, opts.region, instance_type)
reader = codecs.getreader("ascii")
try:
ami = reader(urlopen(ami_path)).read().strip()
except:
print("Could not resolve AMI at: " + ami_path, file=stderr)
sys.exit(1)
print("Spark AMI: " + ami)
return ami
# Launch a cluster of the given name, by setting up its security groups,
# and then starting new instances in them.
# Returns a tuple of EC2 reservation objects for the master and slaves
# Fails if there already instances running in the cluster's groups.
def launch_cluster(conn, opts, cluster_name):
if opts.identity_file is None:
print("ERROR: Must provide an identity file (-i) for ssh connections.", file=stderr)
sys.exit(1)
if opts.key_pair is None:
print("ERROR: Must provide a key pair name (-k) to use on instances.", file=stderr)
sys.exit(1)
user_data_content = None
if opts.user_data:
with open(opts.user_data) as user_data_file:
user_data_content = user_data_file.read()
print("Setting up security groups...")
master_group = get_or_make_group(conn, cluster_name + "-master", opts.vpc_id)
slave_group = get_or_make_group(conn, cluster_name + "-slaves", opts.vpc_id)
authorized_address = opts.authorized_address
if master_group.rules == []: # Group was just now created
if opts.vpc_id is None:
master_group.authorize(src_group=master_group)
master_group.authorize(src_group=slave_group)
else:
master_group.authorize(ip_protocol='icmp', from_port=-1, to_port=-1,
src_group=master_group)
master_group.authorize(ip_protocol='tcp', from_port=0, to_port=65535,
src_group=master_group)
master_group.authorize(ip_protocol='udp', from_port=0, to_port=65535,
src_group=master_group)
master_group.authorize(ip_protocol='icmp', from_port=-1, to_port=-1,
src_group=slave_group)
master_group.authorize(ip_protocol='tcp', from_port=0, to_port=65535,
src_group=slave_group)
master_group.authorize(ip_protocol='udp', from_port=0, to_port=65535,
src_group=slave_group)
master_group.authorize('tcp', 22, 22, authorized_address)
master_group.authorize('tcp', 8080, 8081, authorized_address)
master_group.authorize('tcp', 18080, 18080, authorized_address)
master_group.authorize('tcp', 19999, 19999, authorized_address)
master_group.authorize('tcp', 50030, 50030, authorized_address)
master_group.authorize('tcp', 50070, 50070, authorized_address)
master_group.authorize('tcp', 60070, 60070, authorized_address)
master_group.authorize('tcp', 4040, 4045, authorized_address)
# HDFS NFS gateway requires 111,2049,4242 for tcp & udp
master_group.authorize('tcp', 111, 111, authorized_address)
master_group.authorize('udp', 111, 111, authorized_address)
master_group.authorize('tcp', 2049, 2049, authorized_address)
master_group.authorize('udp', 2049, 2049, authorized_address)
master_group.authorize('tcp', 4242, 4242, authorized_address)
master_group.authorize('udp', 4242, 4242, authorized_address)
# RM in YARN mode uses 8088
master_group.authorize('tcp', 8088, 8088, authorized_address)
if opts.ganglia:
master_group.authorize('tcp', 5080, 5080, authorized_address)
if slave_group.rules == []: # Group was just now created
if opts.vpc_id is None:
slave_group.authorize(src_group=master_group)
slave_group.authorize(src_group=slave_group)
else:
slave_group.authorize(ip_protocol='icmp', from_port=-1, to_port=-1,
src_group=master_group)
slave_group.authorize(ip_protocol='tcp', from_port=0, to_port=65535,
src_group=master_group)
slave_group.authorize(ip_protocol='udp', from_port=0, to_port=65535,
src_group=master_group)
slave_group.authorize(ip_protocol='icmp', from_port=-1, to_port=-1,
src_group=slave_group)
slave_group.authorize(ip_protocol='tcp', from_port=0, to_port=65535,
src_group=slave_group)
slave_group.authorize(ip_protocol='udp', from_port=0, to_port=65535,
src_group=slave_group)
slave_group.authorize('tcp', 22, 22, authorized_address)
slave_group.authorize('tcp', 8080, 8081, authorized_address)
slave_group.authorize('tcp', 50060, 50060, authorized_address)
slave_group.authorize('tcp', 50075, 50075, authorized_address)
slave_group.authorize('tcp', 60060, 60060, authorized_address)
slave_group.authorize('tcp', 60075, 60075, authorized_address)
# Check if instances are already running in our groups
existing_masters, existing_slaves = get_existing_cluster(conn, opts, cluster_name,
die_on_error=False)
if existing_slaves or (existing_masters and not opts.use_existing_master):
print("ERROR: There are already instances running in group %s or %s" %
(master_group.name, slave_group.name), file=stderr)
sys.exit(1)
# Figure out Spark AMI
if opts.ami is None:
opts.ami = get_spark_ami(opts)
# we use group ids to work around https://github.com/boto/boto/issues/350
additional_group_ids = []
if opts.additional_security_group:
additional_group_ids = [sg.id
for sg in conn.get_all_security_groups()
if opts.additional_security_group in (sg.name, sg.id)]
print("Launching instances...")
try:
image = conn.get_all_images(image_ids=[opts.ami])[0]
except:
print("Could not find AMI " + opts.ami, file=stderr)
sys.exit(1)
# Create block device mapping so that we can add EBS volumes if asked to.
# The first drive is attached as /dev/sds, 2nd as /dev/sdt, ... /dev/sdz
block_map = BlockDeviceMapping()
if opts.ebs_vol_size > 0:
for i in range(opts.ebs_vol_num):
device = EBSBlockDeviceType()
device.size = opts.ebs_vol_size
device.volume_type = opts.ebs_vol_type
device.delete_on_termination = True
block_map["/dev/sd" + chr(ord('s') + i)] = device
# AWS ignores the AMI-specified block device mapping for M3 (see SPARK-3342).
if opts.instance_type.startswith('m3.'):
for i in range(get_num_disks(opts.instance_type)):
dev = BlockDeviceType()
dev.ephemeral_name = 'ephemeral%d' % i
# The first ephemeral drive is /dev/sdb.
name = '/dev/sd' + string.letters[i + 1]
block_map[name] = dev
# Launch slaves
if opts.spot_price is not None:
# Launch spot instances with the requested price
print("Requesting %d slaves as spot instances with price $%.3f" %
(opts.slaves, opts.spot_price))
zones = get_zones(conn, opts)
num_zones = len(zones)
i = 0
my_req_ids = []
for zone in zones:
num_slaves_this_zone = get_partition(opts.slaves, num_zones, i)
slave_reqs = conn.request_spot_instances(
price=opts.spot_price,
image_id=opts.ami,
launch_group="launch-group-%s" % cluster_name,
placement=zone,
count=num_slaves_this_zone,
key_name=opts.key_pair,
security_group_ids=[slave_group.id] + additional_group_ids,
instance_type=opts.instance_type,
block_device_map=block_map,
subnet_id=opts.subnet_id,
placement_group=opts.placement_group,
user_data=user_data_content,
instance_profile_name=opts.instance_profile_name)
my_req_ids += [req.id for req in slave_reqs]
i += 1
print("Waiting for spot instances to be granted...")
try:
while True:
time.sleep(10)
reqs = conn.get_all_spot_instance_requests()
id_to_req = {}
for r in reqs:
id_to_req[r.id] = r
active_instance_ids = []
for i in my_req_ids:
if i in id_to_req and id_to_req[i].state == "active":
active_instance_ids.append(id_to_req[i].instance_id)
if len(active_instance_ids) == opts.slaves:
print("All %d slaves granted" % opts.slaves)
reservations = conn.get_all_reservations(active_instance_ids)
slave_nodes = []
for r in reservations:
slave_nodes += r.instances
break
else:
print("%d of %d slaves granted, waiting longer" % (
len(active_instance_ids), opts.slaves))
except:
print("Canceling spot instance requests")
conn.cancel_spot_instance_requests(my_req_ids)
# Log a warning if any of these requests actually launched instances:
(master_nodes, slave_nodes) = get_existing_cluster(
conn, opts, cluster_name, die_on_error=False)
running = len(master_nodes) + len(slave_nodes)
if running:
print(("WARNING: %d instances are still running" % running), file=stderr)
sys.exit(0)
else:
# Launch non-spot instances
zones = get_zones(conn, opts)
num_zones = len(zones)
i = 0
slave_nodes = []
for zone in zones:
num_slaves_this_zone = get_partition(opts.slaves, num_zones, i)
if num_slaves_this_zone > 0:
slave_res = image.run(
key_name=opts.key_pair,
security_group_ids=[slave_group.id] + additional_group_ids,
instance_type=opts.instance_type,
placement=zone,
min_count=num_slaves_this_zone,
max_count=num_slaves_this_zone,
block_device_map=block_map,
subnet_id=opts.subnet_id,
placement_group=opts.placement_group,
user_data=user_data_content,
instance_initiated_shutdown_behavior=opts.instance_initiated_shutdown_behavior,
instance_profile_name=opts.instance_profile_name)
slave_nodes += slave_res.instances
print("Launched {s} slave{plural_s} in {z}, regid = {r}".format(
s=num_slaves_this_zone,
plural_s=('' if num_slaves_this_zone == 1 else 's'),
z=zone,
r=slave_res.id))
i += 1
# Launch or resume masters
if existing_masters:
print("Starting master...")
for inst in existing_masters:
if inst.state not in ["shutting-down", "terminated"]:
inst.start()
master_nodes = existing_masters
else:
master_type = opts.master_instance_type
if master_type == "":
master_type = opts.instance_type
if opts.zone == 'all':
opts.zone = random.choice(conn.get_all_zones()).name
master_res = image.run(
key_name=opts.key_pair,
security_group_ids=[master_group.id] + additional_group_ids,
instance_type=master_type,
placement=opts.zone,
min_count=1,
max_count=1,
block_device_map=block_map,
subnet_id=opts.subnet_id,
placement_group=opts.placement_group,
user_data=user_data_content,
instance_initiated_shutdown_behavior=opts.instance_initiated_shutdown_behavior,
instance_profile_name=opts.instance_profile_name)
master_nodes = master_res.instances
print("Launched master in %s, regid = %s" % (zone, master_res.id))
# This wait time corresponds to SPARK-4983
print("Waiting for AWS to propagate instance metadata...")
time.sleep(15)
# Give the instances descriptive names and set additional tags
additional_tags = {}
if opts.additional_tags.strip():
additional_tags = dict(
map(str.strip, tag.split(':', 1)) for tag in opts.additional_tags.split(',')
)
for master in master_nodes:
master.add_tags(
dict(additional_tags, Name='{cn}-master-{iid}'.format(cn=cluster_name, iid=master.id))
)
for slave in slave_nodes:
slave.add_tags(
dict(additional_tags, Name='{cn}-slave-{iid}'.format(cn=cluster_name, iid=slave.id))
)
# Return all the instances
return (master_nodes, slave_nodes)
def get_existing_cluster(conn, opts, cluster_name, die_on_error=True):
"""
Get the EC2 instances in an existing cluster if available.
Returns a tuple of lists of EC2 instance objects for the masters and slaves.
"""
print("Searching for existing cluster {c} in region {r}...".format(
c=cluster_name, r=opts.region))
def get_instances(group_names):
"""
Get all non-terminated instances that belong to any of the provided security groups.
EC2 reservation filters and instance states are documented here:
http://docs.aws.amazon.com/cli/latest/reference/ec2/describe-instances.html#options
"""
reservations = conn.get_all_reservations(
filters={"instance.group-name": group_names})
instances = itertools.chain.from_iterable(r.instances for r in reservations)
return [i for i in instances if i.state not in ["shutting-down", "terminated"]]
master_instances = get_instances([cluster_name + "-master"])
slave_instances = get_instances([cluster_name + "-slaves"])
if any((master_instances, slave_instances)):
print("Found {m} master{plural_m}, {s} slave{plural_s}.".format(
m=len(master_instances),
plural_m=('' if len(master_instances) == 1 else 's'),
s=len(slave_instances),
plural_s=('' if len(slave_instances) == 1 else 's')))
if not master_instances and die_on_error:
print("ERROR: Could not find a master for cluster {c} in region {r}.".format(
c=cluster_name, r=opts.region), file=sys.stderr)
sys.exit(1)
return (master_instances, slave_instances)
# Deploy configuration files and run setup scripts on a newly launched
# or started EC2 cluster.
def setup_cluster(conn, master_nodes, slave_nodes, opts, deploy_ssh_key):
master = get_dns_name(master_nodes[0], opts.private_ips)
if deploy_ssh_key:
print("Generating cluster's SSH key on master...")
key_setup = """
[ -f ~/.ssh/id_rsa ] ||
(ssh-keygen -q -t rsa -N '' -f ~/.ssh/id_rsa &&
cat ~/.ssh/id_rsa.pub >> ~/.ssh/authorized_keys)
"""
ssh(master, opts, key_setup)
dot_ssh_tar = ssh_read(master, opts, ['tar', 'c', '.ssh'])
print("Transferring cluster's SSH key to slaves...")
for slave in slave_nodes:
slave_address = get_dns_name(slave, opts.private_ips)
print(slave_address)
ssh_write(slave_address, opts, ['tar', 'x'], dot_ssh_tar)
modules = ['spark', 'ephemeral-hdfs', 'persistent-hdfs',
'mapreduce', 'spark-standalone', 'tachyon']
if opts.hadoop_major_version == "1":
modules = list(filter(lambda x: x != "mapreduce", modules))
if opts.ganglia:
modules.append('ganglia')
# Clear SPARK_WORKER_INSTANCES if running on YARN
if opts.hadoop_major_version == "yarn":
opts.worker_instances = ""
# NOTE: We should clone the repository before running deploy_files to
# prevent ec2-variables.sh from being overwritten
print("Cloning spark-ec2 scripts from {r}/tree/{b} on master...".format(
r=opts.spark_ec2_git_repo, b=opts.spark_ec2_git_branch))
ssh(
host=master,
opts=opts,
command="rm -rf spark-ec2"
+ " && "
+ "git clone {r} -b {b} spark-ec2".format(r=opts.spark_ec2_git_repo,
b=opts.spark_ec2_git_branch)
)
print("Deploying files to master...")
deploy_files(
conn=conn,
root_dir=SPARK_EC2_DIR + "/" + "deploy.generic",
opts=opts,
master_nodes=master_nodes,
slave_nodes=slave_nodes,
modules=modules
)
if opts.deploy_root_dir is not None:
print("Deploying {s} to master...".format(s=opts.deploy_root_dir))
deploy_user_files(
root_dir=opts.deploy_root_dir,
opts=opts,
master_nodes=master_nodes
)
print("Running setup on master...")
setup_spark_cluster(master, opts)
print("Done!")
def setup_spark_cluster(master, opts):
ssh(master, opts, "chmod u+x spark-ec2/setup.sh")
ssh(master, opts, "spark-ec2/setup.sh")
print("Spark standalone cluster started at http://%s:8080" % master)
if opts.ganglia:
print("Ganglia started at http://%s:5080/ganglia" % master)
def is_ssh_available(host, opts, print_ssh_output=True):
"""
Check if SSH is available on a host.
"""
s = subprocess.Popen(
ssh_command(opts) + ['-t', '-t', '-o', 'ConnectTimeout=3',
'%s@%s' % (opts.user, host), stringify_command('true')],
stdout=subprocess.PIPE,
stderr=subprocess.STDOUT # we pipe stderr through stdout to preserve output order
)
cmd_output = s.communicate()[0] # [1] is stderr, which we redirected to stdout
if s.returncode != 0 and print_ssh_output:
# extra leading newline is for spacing in wait_for_cluster_state()
print(textwrap.dedent("""\n
Warning: SSH connection error. (This could be temporary.)
Host: {h}
SSH return code: {r}
SSH output: {o}
""").format(
h=host,
r=s.returncode,
o=cmd_output.strip()
))
return s.returncode == 0
def is_cluster_ssh_available(cluster_instances, opts):
"""
Check if SSH is available on all the instances in a cluster.
"""
for i in cluster_instances:
dns_name = get_dns_name(i, opts.private_ips)
if not is_ssh_available(host=dns_name, opts=opts):
return False
else:
return True
def wait_for_cluster_state(conn, opts, cluster_instances, cluster_state):
"""
Wait for all the instances in the cluster to reach a designated state.
cluster_instances: a list of boto.ec2.instance.Instance
cluster_state: a string representing the desired state of all the instances in the cluster
value can be 'ssh-ready' or a valid value from boto.ec2.instance.InstanceState such as
'running', 'terminated', etc.
(would be nice to replace this with a proper enum: http://stackoverflow.com/a/1695250)
"""
sys.stdout.write(
"Waiting for cluster to enter '{s}' state.".format(s=cluster_state)
)
sys.stdout.flush()
start_time = datetime.now()
num_attempts = 0
while True:
time.sleep(5 * num_attempts) # seconds
for i in cluster_instances:
i.update()
max_batch = 100
statuses = []
for j in xrange(0, len(cluster_instances), max_batch):
batch = [i.id for i in cluster_instances[j:j + max_batch]]
statuses.extend(conn.get_all_instance_status(instance_ids=batch))
if cluster_state == 'ssh-ready':
if all(i.state == 'running' for i in cluster_instances) and \
all(s.system_status.status == 'ok' for s in statuses) and \
all(s.instance_status.status == 'ok' for s in statuses) and \
is_cluster_ssh_available(cluster_instances, opts):
break
else:
if all(i.state == cluster_state for i in cluster_instances):
break
num_attempts += 1
sys.stdout.write(".")
sys.stdout.flush()
sys.stdout.write("\n")
end_time = datetime.now()
print("Cluster is now in '{s}' state. Waited {t} seconds.".format(
s=cluster_state,
t=(end_time - start_time).seconds
))
# Get number of local disks available for a given EC2 instance type.
def get_num_disks(instance_type):
# Source: http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/InstanceStorage.html
# Last Updated: 2015-06-19
# For easy maintainability, please keep this manually-inputted dictionary sorted by key.
disks_by_instance = {
"c1.medium": 1,
"c1.xlarge": 4,
"c3.large": 2,
"c3.xlarge": 2,
"c3.2xlarge": 2,
"c3.4xlarge": 2,
"c3.8xlarge": 2,
"c4.large": 0,
"c4.xlarge": 0,
"c4.2xlarge": 0,
"c4.4xlarge": 0,
"c4.8xlarge": 0,
"cc1.4xlarge": 2,
"cc2.8xlarge": 4,
"cg1.4xlarge": 2,
"cr1.8xlarge": 2,
"d2.xlarge": 3,
"d2.2xlarge": 6,
"d2.4xlarge": 12,
"d2.8xlarge": 24,
"g2.2xlarge": 1,
"g2.8xlarge": 2,
"hi1.4xlarge": 2,
"hs1.8xlarge": 24,
"i2.xlarge": 1,
"i2.2xlarge": 2,
"i2.4xlarge": 4,
"i2.8xlarge": 8,
"m1.small": 1,
"m1.medium": 1,
"m1.large": 2,
"m1.xlarge": 4,
"m2.xlarge": 1,
"m2.2xlarge": 1,
"m2.4xlarge": 2,
"m3.medium": 1,
"m3.large": 1,
"m3.xlarge": 2,
"m3.2xlarge": 2,
"m4.large": 0,
"m4.xlarge": 0,
"m4.2xlarge": 0,
"m4.4xlarge": 0,
"m4.10xlarge": 0,
"r3.large": 1,
"r3.xlarge": 1,
"r3.2xlarge": 1,
"r3.4xlarge": 1,
"r3.8xlarge": 2,
"t1.micro": 0,
"t2.micro": 0,
"t2.small": 0,
"t2.medium": 0,
"t2.large": 0,
}
if instance_type in disks_by_instance:
return disks_by_instance[instance_type]
else:
print("WARNING: Don't know number of disks on instance type %s; assuming 1"
% instance_type, file=stderr)
return 1
# Deploy the configuration file templates in a given local directory to
# a cluster, filling in any template parameters with information about the
# cluster (e.g. lists of masters and slaves). Files are only deployed to
# the first master instance in the cluster, and we expect the setup
# script to be run on that instance to copy them to other nodes.
#
# root_dir should be an absolute path to the directory with the files we want to deploy.
def deploy_files(conn, root_dir, opts, master_nodes, slave_nodes, modules):
active_master = get_dns_name(master_nodes[0], opts.private_ips)
num_disks = get_num_disks(opts.instance_type)
hdfs_data_dirs = "/mnt/ephemeral-hdfs/data"
mapred_local_dirs = "/mnt/hadoop/mrlocal"
spark_local_dirs = "/mnt/spark"
if num_disks > 1:
for i in range(2, num_disks + 1):
hdfs_data_dirs += ",/mnt%d/ephemeral-hdfs/data" % i
mapred_local_dirs += ",/mnt%d/hadoop/mrlocal" % i
spark_local_dirs += ",/mnt%d/spark" % i
cluster_url = "%s:7077" % active_master
if "." in opts.spark_version:
# Pre-built Spark deploy
spark_v = get_validate_spark_version(opts.spark_version, opts.spark_git_repo)
tachyon_v = get_tachyon_version(spark_v)
else:
# Spark-only custom deploy
spark_v = "%s|%s" % (opts.spark_git_repo, opts.spark_version)
tachyon_v = ""
print("Deploying Spark via git hash; Tachyon won't be set up")
modules = filter(lambda x: x != "tachyon", modules)
master_addresses = [get_dns_name(i, opts.private_ips) for i in master_nodes]
slave_addresses = [get_dns_name(i, opts.private_ips) for i in slave_nodes]
worker_instances_str = "%d" % opts.worker_instances if opts.worker_instances else ""
template_vars = {
"master_list": '\n'.join(master_addresses),
"active_master": active_master,
"slave_list": '\n'.join(slave_addresses),
"cluster_url": cluster_url,
"hdfs_data_dirs": hdfs_data_dirs,
"mapred_local_dirs": mapred_local_dirs,
"spark_local_dirs": spark_local_dirs,
"swap": str(opts.swap),
"modules": '\n'.join(modules),
"spark_version": spark_v,
"tachyon_version": tachyon_v,
"hadoop_major_version": opts.hadoop_major_version,
"spark_worker_instances": worker_instances_str,
"spark_master_opts": opts.master_opts
}
if opts.copy_aws_credentials:
template_vars["aws_access_key_id"] = conn.aws_access_key_id
template_vars["aws_secret_access_key"] = conn.aws_secret_access_key
else:
template_vars["aws_access_key_id"] = ""
template_vars["aws_secret_access_key"] = ""
# Create a temp directory in which we will place all the files to be
# deployed after we substitue template parameters in them
tmp_dir = tempfile.mkdtemp()
for path, dirs, files in os.walk(root_dir):
if path.find(".svn") == -1:
dest_dir = os.path.join('/', path[len(root_dir):])
local_dir = tmp_dir + dest_dir
if not os.path.exists(local_dir):
os.makedirs(local_dir)
for filename in files:
if filename[0] not in '#.~' and filename[-1] != '~':
dest_file = os.path.join(dest_dir, filename)
local_file = tmp_dir + dest_file
with open(os.path.join(path, filename)) as src:
with open(local_file, "w") as dest:
text = src.read()
for key in template_vars:
text = text.replace("{{" + key + "}}", template_vars[key])
dest.write(text)
dest.close()
# rsync the whole directory over to the master machine
command = [
'rsync', '-rv',
'-e', stringify_command(ssh_command(opts)),
"%s/" % tmp_dir,
"%s@%s:/" % (opts.user, active_master)
]
subprocess.check_call(command)
# Remove the temp directory we created above
shutil.rmtree(tmp_dir)
# Deploy a given local directory to a cluster, WITHOUT parameter substitution.
# Note that unlike deploy_files, this works for binary files.
# Also, it is up to the user to add (or not) the trailing slash in root_dir.
# Files are only deployed to the first master instance in the cluster.
#
# root_dir should be an absolute path.
def deploy_user_files(root_dir, opts, master_nodes):
active_master = get_dns_name(master_nodes[0], opts.private_ips)
command = [
'rsync', '-rv',
'-e', stringify_command(ssh_command(opts)),
"%s" % root_dir,
"%s@%s:/" % (opts.user, active_master)
]
subprocess.check_call(command)
def stringify_command(parts):
if isinstance(parts, str):
return parts
else:
return ' '.join(map(pipes.quote, parts))
def ssh_args(opts):
parts = ['-o', 'StrictHostKeyChecking=no']
parts += ['-o', 'UserKnownHostsFile=/dev/null']
if opts.identity_file is not None:
parts += ['-i', opts.identity_file]
return parts
def ssh_command(opts):
return ['ssh'] + ssh_args(opts)
# Run a command on a host through ssh, retrying up to five times
# and then throwing an exception if ssh continues to fail.
def ssh(host, opts, command):
tries = 0
while True:
try:
return subprocess.check_call(
ssh_command(opts) + ['-t', '-t', '%s@%s' % (opts.user, host),
stringify_command(command)])
except subprocess.CalledProcessError as e:
if tries > 5:
# If this was an ssh failure, provide the user with hints.
if e.returncode == 255:
raise UsageError(
"Failed to SSH to remote host {0}.\n" +
"Please check that you have provided the correct --identity-file and " +
"--key-pair parameters and try again.".format(host))
else:
raise e
print("Error executing remote command, retrying after 30 seconds: {0}".format(e),
file=stderr)
time.sleep(30)
tries = tries + 1
# Backported from Python 2.7 for compatiblity with 2.6 (See SPARK-1990)
def _check_output(*popenargs, **kwargs):
if 'stdout' in kwargs:
raise ValueError('stdout argument not allowed, it will be overridden.')
process = subprocess.Popen(stdout=subprocess.PIPE, *popenargs, **kwargs)
output, unused_err = process.communicate()
retcode = process.poll()
if retcode:
cmd = kwargs.get("args")
if cmd is None:
cmd = popenargs[0]
raise subprocess.CalledProcessError(retcode, cmd, output=output)
return output
def ssh_read(host, opts, command):
return _check_output(
ssh_command(opts) + ['%s@%s' % (opts.user, host), stringify_command(command)])
def ssh_write(host, opts, command, arguments):
tries = 0
while True:
proc = subprocess.Popen(
ssh_command(opts) + ['%s@%s' % (opts.user, host), stringify_command(command)],
stdin=subprocess.PIPE)
proc.stdin.write(arguments)
proc.stdin.close()
status = proc.wait()
if status == 0:
break
elif tries > 5:
raise RuntimeError("ssh_write failed with error %s" % proc.returncode)
else:
print("Error {0} while executing remote command, retrying after 30 seconds".
format(status), file=stderr)
time.sleep(30)
tries = tries + 1
# Gets a list of zones to launch instances in
def get_zones(conn, opts):
if opts.zone == 'all':
zones = [z.name for z in conn.get_all_zones()]
else:
zones = [opts.zone]
return zones
# Gets the number of items in a partition
def get_partition(total, num_partitions, current_partitions):
num_slaves_this_zone = total // num_partitions
if (total % num_partitions) - current_partitions > 0:
num_slaves_this_zone += 1
return num_slaves_this_zone
# Gets the IP address, taking into account the --private-ips flag
def get_ip_address(instance, private_ips=False):
ip = instance.ip_address if not private_ips else \
instance.private_ip_address
return ip
# Gets the DNS name, taking into account the --private-ips flag
def get_dns_name(instance, private_ips=False):
dns = instance.public_dns_name if not private_ips else \
instance.private_ip_address
return dns
def real_main():
(opts, action, cluster_name) = parse_args()
# Input parameter validation
get_validate_spark_version(opts.spark_version, opts.spark_git_repo)
if opts.wait is not None:
# NOTE: DeprecationWarnings are silent in 2.7+ by default.
# To show them, run Python with the -Wdefault switch.
# See: https://docs.python.org/3.5/whatsnew/2.7.html
warnings.warn(
"This option is deprecated and has no effect. "
"spark-ec2 automatically waits as long as necessary for clusters to start up.",
DeprecationWarning
)
if opts.identity_file is not None:
if not os.path.exists(opts.identity_file):
print("ERROR: The identity file '{f}' doesn't exist.".format(f=opts.identity_file),
file=stderr)
sys.exit(1)
file_mode = os.stat(opts.identity_file).st_mode
if not (file_mode & S_IRUSR) or not oct(file_mode)[-2:] == '00':
print("ERROR: The identity file must be accessible only by you.", file=stderr)
print('You can fix this with: chmod 400 "{f}"'.format(f=opts.identity_file),
file=stderr)
sys.exit(1)
if opts.instance_type not in EC2_INSTANCE_TYPES:
print("Warning: Unrecognized EC2 instance type for instance-type: {t}".format(
t=opts.instance_type), file=stderr)
if opts.master_instance_type != "":
if opts.master_instance_type not in EC2_INSTANCE_TYPES:
print("Warning: Unrecognized EC2 instance type for master-instance-type: {t}".format(
t=opts.master_instance_type), file=stderr)
# Since we try instance types even if we can't resolve them, we check if they resolve first
# and, if they do, see if they resolve to the same virtualization type.
if opts.instance_type in EC2_INSTANCE_TYPES and \
opts.master_instance_type in EC2_INSTANCE_TYPES:
if EC2_INSTANCE_TYPES[opts.instance_type] != \
EC2_INSTANCE_TYPES[opts.master_instance_type]:
print("Error: spark-ec2 currently does not support having a master and slaves "
"with different AMI virtualization types.", file=stderr)
print("master instance virtualization type: {t}".format(
t=EC2_INSTANCE_TYPES[opts.master_instance_type]), file=stderr)
print("slave instance virtualization type: {t}".format(
t=EC2_INSTANCE_TYPES[opts.instance_type]), file=stderr)
sys.exit(1)
if opts.ebs_vol_num > 8:
print("ebs-vol-num cannot be greater than 8", file=stderr)
sys.exit(1)
# Prevent breaking ami_prefix (/, .git and startswith checks)
# Prevent forks with non spark-ec2 names for now.
if opts.spark_ec2_git_repo.endswith("/") or \
opts.spark_ec2_git_repo.endswith(".git") or \
not opts.spark_ec2_git_repo.startswith("https://github.com") or \
not opts.spark_ec2_git_repo.endswith("spark-ec2"):
print("spark-ec2-git-repo must be a github repo and it must not have a trailing / or .git. "
"Furthermore, we currently only support forks named spark-ec2.", file=stderr)
sys.exit(1)
if not (opts.deploy_root_dir is None or
(os.path.isabs(opts.deploy_root_dir) and
os.path.isdir(opts.deploy_root_dir) and
os.path.exists(opts.deploy_root_dir))):
print("--deploy-root-dir must be an absolute path to a directory that exists "
"on the local file system", file=stderr)
sys.exit(1)
try:
conn = ec2.connect_to_region(opts.region)
except Exception as e:
print((e), file=stderr)
sys.exit(1)
# Select an AZ at random if it was not specified.
if opts.zone == "":
opts.zone = random.choice(conn.get_all_zones()).name
if action == "launch":
if opts.slaves <= 0:
print("ERROR: You have to start at least 1 slave", file=sys.stderr)
sys.exit(1)
if opts.resume:
(master_nodes, slave_nodes) = get_existing_cluster(conn, opts, cluster_name)
else:
(master_nodes, slave_nodes) = launch_cluster(conn, opts, cluster_name)
wait_for_cluster_state(
conn=conn,
opts=opts,
cluster_instances=(master_nodes + slave_nodes),
cluster_state='ssh-ready'
)
setup_cluster(conn, master_nodes, slave_nodes, opts, True)
elif action == "destroy":
(master_nodes, slave_nodes) = get_existing_cluster(
conn, opts, cluster_name, die_on_error=False)
if any(master_nodes + slave_nodes):
print("The following instances will be terminated:")
for inst in master_nodes + slave_nodes:
print("> %s" % get_dns_name(inst, opts.private_ips))
print("ALL DATA ON ALL NODES WILL BE LOST!!")
msg = "Are you sure you want to destroy the cluster {c}? (y/N) ".format(c=cluster_name)
response = raw_input(msg)
if response == "y":
print("Terminating master...")
for inst in master_nodes:
inst.terminate()
print("Terminating slaves...")
for inst in slave_nodes:
inst.terminate()
# Delete security groups as well
if opts.delete_groups:
group_names = [cluster_name + "-master", cluster_name + "-slaves"]
wait_for_cluster_state(
conn=conn,
opts=opts,
cluster_instances=(master_nodes + slave_nodes),
cluster_state='terminated'
)
print("Deleting security groups (this will take some time)...")
attempt = 1
while attempt <= 3:
print("Attempt %d" % attempt)
groups = [g for g in conn.get_all_security_groups() if g.name in group_names]
success = True
# Delete individual rules in all groups before deleting groups to
# remove dependencies between them
for group in groups:
print("Deleting rules in security group " + group.name)
for rule in group.rules:
for grant in rule.grants:
success &= group.revoke(ip_protocol=rule.ip_protocol,
from_port=rule.from_port,
to_port=rule.to_port,
src_group=grant)
# Sleep for AWS eventual-consistency to catch up, and for instances
# to terminate
time.sleep(30) # Yes, it does have to be this long :-(
for group in groups:
try:
# It is needed to use group_id to make it work with VPC
conn.delete_security_group(group_id=group.id)
print("Deleted security group %s" % group.name)
except boto.exception.EC2ResponseError:
success = False
print("Failed to delete security group %s" % group.name)
# Unfortunately, group.revoke() returns True even if a rule was not
# deleted, so this needs to be rerun if something fails
if success:
break
attempt += 1
if not success:
print("Failed to delete all security groups after 3 tries.")
print("Try re-running in a few minutes.")
elif action == "login":
(master_nodes, slave_nodes) = get_existing_cluster(conn, opts, cluster_name)
if not master_nodes[0].public_dns_name and not opts.private_ips:
print("Master has no public DNS name. Maybe you meant to specify --private-ips?")
else:
master = get_dns_name(master_nodes[0], opts.private_ips)
print("Logging into master " + master + "...")
proxy_opt = []
if opts.proxy_port is not None:
proxy_opt = ['-D', opts.proxy_port]
subprocess.check_call(
ssh_command(opts) + proxy_opt + ['-t', '-t', "%s@%s" % (opts.user, master)])
elif action == "reboot-slaves":
response = raw_input(
"Are you sure you want to reboot the cluster " +
cluster_name + " slaves?\n" +
"Reboot cluster slaves " + cluster_name + " (y/N): ")
if response == "y":
(master_nodes, slave_nodes) = get_existing_cluster(
conn, opts, cluster_name, die_on_error=False)
print("Rebooting slaves...")
for inst in slave_nodes:
if inst.state not in ["shutting-down", "terminated"]:
print("Rebooting " + inst.id)
inst.reboot()
elif action == "get-master":
(master_nodes, slave_nodes) = get_existing_cluster(conn, opts, cluster_name)
if not master_nodes[0].public_dns_name and not opts.private_ips:
print("Master has no public DNS name. Maybe you meant to specify --private-ips?")
else:
print(get_dns_name(master_nodes[0], opts.private_ips))
elif action == "stop":
response = raw_input(
"Are you sure you want to stop the cluster " +
cluster_name + "?\nDATA ON EPHEMERAL DISKS WILL BE LOST, " +
"BUT THE CLUSTER WILL KEEP USING SPACE ON\n" +
"AMAZON EBS IF IT IS EBS-BACKED!!\n" +
"All data on spot-instance slaves will be lost.\n" +
"Stop cluster " + cluster_name + " (y/N): ")
if response == "y":
(master_nodes, slave_nodes) = get_existing_cluster(
conn, opts, cluster_name, die_on_error=False)
print("Stopping master...")
for inst in master_nodes:
if inst.state not in ["shutting-down", "terminated"]:
inst.stop()
print("Stopping slaves...")
for inst in slave_nodes:
if inst.state not in ["shutting-down", "terminated"]:
if inst.spot_instance_request_id:
inst.terminate()
else:
inst.stop()
elif action == "start":
(master_nodes, slave_nodes) = get_existing_cluster(conn, opts, cluster_name)
print("Starting slaves...")
for inst in slave_nodes:
if inst.state not in ["shutting-down", "terminated"]:
inst.start()
print("Starting master...")
for inst in master_nodes:
if inst.state not in ["shutting-down", "terminated"]:
inst.start()
wait_for_cluster_state(
conn=conn,
opts=opts,
cluster_instances=(master_nodes + slave_nodes),
cluster_state='ssh-ready'
)
# Determine types of running instances
existing_master_type = master_nodes[0].instance_type
existing_slave_type = slave_nodes[0].instance_type
# Setting opts.master_instance_type to the empty string indicates we
# have the same instance type for the master and the slaves
if existing_master_type == existing_slave_type:
existing_master_type = ""
opts.master_instance_type = existing_master_type
opts.instance_type = existing_slave_type
setup_cluster(conn, master_nodes, slave_nodes, opts, False)
else:
print("Invalid action: %s" % action, file=stderr)
sys.exit(1)
def main():
try:
real_main()
except UsageError as e:
print("\nError:\n", e, file=stderr)
sys.exit(1)
if __name__ == "__main__":
logging.basicConfig()
main()
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