Revision 93142965901e4392ed2e225a6bb2a5f9d2281bcc authored by Shivaram Venkataraman on 11 January 2017, 00:06:05 UTC, committed by GitHub on 11 January 2017, 00:06:05 UTC
Get rid of useless mount flag
spark_ec2.py
#!/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 = "2.0.0"
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",
"1.4.1",
"1.5.0",
"1.5.1",
"1.5.2",
"1.6.0",
"1.6.1",
"1.6.2",
"1.6.3",
"2.0.0-preview",
"2.0.0",
"2.0.1",
"2.0.2"
])
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",
"1.4.1": "0.6.4",
"1.5.0": "0.7.1",
"1.5.1": "0.7.1",
"1.5.2": "0.7.1",
"1.6.0": "0.8.2",
"2.0.0-preview": "",
}
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/amplab/spark-ec2"
DEFAULT_SPARK_EC2_BRANCH = "branch-2.0"
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, "rb") 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(
"-p", "--profile", default=None,
help="If you have multiple profiles (AWS or boto config), you can configure " +
"additional, named profiles by using this option (default: %default)")
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="yarn",
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(
"--tag-volumes", action="store_true", default=False,
help="Apply the tags given in --additional-tags to any EBS volumes " +
"attached to master and slave instances.")
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 there is no boto config, check aws credentials
if not os.path.isfile(home_dir + '/.aws/credentials'):
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 validate_spark_hadoop_version(spark_version, hadoop_version):
if "." in spark_version:
parts = spark_version.split(".")
if parts[0].isdigit():
spark_major_version = float(parts[0])
if spark_major_version > 1.0 and hadoop_version != "yarn":
print("Spark version: {v}, does not support Hadoop version: {hv}".
format(v=spark_version, hv=hadoop_version), file=stderr)
sys.exit(1)
else:
print("Invalid Spark version: {v}".format(v=spark_version), file=stderr)
sys.exit(1)
def get_validate_spark_version(version, repo):
if "." in version:
# Remove leading v to handle inputs like v1.5.0
version = version.lstrip("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": "hvm",
"c3.xlarge": "hvm",
"c3.2xlarge": "hvm",
"c3.4xlarge": "hvm",
"c3.8xlarge": "hvm",
"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)
# Rstudio (GUI for R) needs port 8787 for web access
master_group.authorize('tcp', 8787, 8787, 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.ascii_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(',')
)
print('Applying tags to master nodes')
for master in master_nodes:
master.add_tags(
dict(additional_tags, Name='{cn}-master-{iid}'.format(cn=cluster_name, iid=master.id))
)
print('Applying tags to slave nodes')
for slave in slave_nodes:
slave.add_tags(
dict(additional_tags, Name='{cn}-slave-{iid}'.format(cn=cluster_name, iid=slave.id))
)
if opts.tag_volumes:
if len(additional_tags) > 0:
print('Applying tags to volumes')
all_instance_ids = [x.id for x in master_nodes + slave_nodes]
volumes = conn.get_all_volumes(filters={'attachment.instance-id': all_instance_ids})
for v in volumes:
v.add_tags(additional_tags)
else:
print('--tag-volumes has no effect without --additional-tags')
# 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', 'rstudio']
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)
validate_spark_hadoop_version(spark_v, opts.hadoop_major_version)
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 = ""
if tachyon_v == "":
print("No valid Tachyon version found; Tachyon won't be set up")
modules.remove("tachyon")
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
if not dns:
raise UsageError("Failed to determine hostname of {0}.\n"
"Please check that you provided --private-ips if "
"necessary".format(instance))
return dns
def real_main():
(opts, action, cluster_name) = parse_args()
# Input parameter validation
spark_v = get_validate_spark_version(opts.spark_version, opts.spark_git_repo)
validate_spark_hadoop_version(spark_v, opts.hadoop_major_version)
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:
if opts.profile is None:
conn = ec2.connect_to_region(opts.region)
else:
conn = ec2.connect_to_region(opts.region, profile_name=opts.profile)
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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