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spark_ec2.py
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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 with_statement
import hashlib
import logging
import os
import pipes
import random
import shutil
import string
import subprocess
import sys
import tarfile
import tempfile
import time
import urllib2
import warnings
from datetime import datetime
from optparse import OptionParser
from sys import stderr
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",
])
DEFAULT_SPARK_VERSION = "1.2.0"
DEFAULT_SPARK_GITHUB_REPO = "https://github.com/apache/spark"
SPARK_EC2_DIR = os.path.dirname(os.path.realpath(__file__))
MESOS_SPARK_EC2_BRANCH = "branch-1.3"
# A URL prefix from which to fetch AMI information
AMI_PREFIX = "https://raw.github.com/mesos/spark-ec2/{b}/ami-list".format(b=MESOS_SPARK_EC2_BRANCH)
def setup_boto():
# Download Boto if it's not already present in the SPARK_EC2_DIR/lib folder:
version = "boto-2.34.0"
md5 = "5556223d2d0cc4d06dd4829e671dcecd"
url = "https://pypi.python.org/packages/source/b/boto/%s.tar.gz" % version
lib_dir = os.path.join(SPARK_EC2_DIR, "lib")
if not os.path.exists(lib_dir):
os.mkdir(lib_dir)
boto_lib_dir = os.path.join(lib_dir, version)
if not os.path.isdir(boto_lib_dir):
tgz_file_path = os.path.join(lib_dir, "%s.tar.gz" % version)
print "Downloading Boto from PyPi"
download_stream = urllib2.urlopen(url)
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() != md5:
print >> stderr, "ERROR: Got wrong md5sum for Boto"
sys.exit(1)
tar = tarfile.open(tgz_file_path)
tar.extractall(path=lib_dir)
tar.close()
os.remove(tgz_file_path)
print "Finished downloading Boto"
sys.path.insert(0, boto_lib_dir)
setup_boto()
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(
usage="spark-ec2 [options] <action> <cluster_name>"
+ "\n\n<action> can be: launch, destroy, login, stop, start, get-master, reboot-slaves",
add_help_option=False)
parser.add_option(
"-h", "--help", action="help",
help="Show this help message and exit")
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 zone to launch instances in")
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(
"--hadoop-major-version", default="1",
help="Major version of Hadoop (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 (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 AMI's 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(
"--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")
(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 >> stderr, ("ERROR: The environment variable AWS_ACCESS_KEY_ID " +
"must be set")
sys.exit(1)
if os.getenv('AWS_SECRET_ACCESS_KEY') is None:
print >> stderr, ("ERROR: The environment variable AWS_SECRET_ACCESS_KEY " +
"must be set")
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 >> stderr, "Don't know about Spark version: {v}".format(v=version)
sys.exit(1)
return version
else:
github_commit_url = "{repo}/commit/{commit_hash}".format(repo=repo, commit_hash=version)
request = urllib2.Request(github_commit_url)
request.get_method = lambda: 'HEAD'
try:
response = urllib2.urlopen(request)
except urllib2.HTTPError, e:
print >> stderr, "Couldn't validate Spark commit: {url}".format(url=github_commit_url)
print >> stderr, "Received HTTP response code of {code}.".format(code=e.code)
sys.exit(1)
return version
# Check whether a given EC2 instance object is in a state we consider active,
# i.e. not terminating or terminated. We count both stopping and stopped as
# active since we can restart stopped clusters.
def is_active(instance):
return (instance.state in ['pending', 'running', 'stopping', 'stopped'])
# Attempt to resolve an appropriate AMI given the architecture and region of the request.
# Source: http://aws.amazon.com/amazon-linux-ami/instance-type-matrix/
# Last Updated: 2014-06-20
# For easy maintainability, please keep this manually-inputted dictionary sorted by key.
def get_spark_ami(opts):
instance_types = {
"c1.medium": "pvm",
"c1.xlarge": "pvm",
"c3.2xlarge": "pvm",
"c3.4xlarge": "pvm",
"c3.8xlarge": "pvm",
"c3.large": "pvm",
"c3.xlarge": "pvm",
"cc1.4xlarge": "hvm",
"cc2.8xlarge": "hvm",
"cg1.4xlarge": "hvm",
"cr1.8xlarge": "hvm",
"hi1.4xlarge": "pvm",
"hs1.8xlarge": "pvm",
"i2.2xlarge": "hvm",
"i2.4xlarge": "hvm",
"i2.8xlarge": "hvm",
"i2.xlarge": "hvm",
"m1.large": "pvm",
"m1.medium": "pvm",
"m1.small": "pvm",
"m1.xlarge": "pvm",
"m2.2xlarge": "pvm",
"m2.4xlarge": "pvm",
"m2.xlarge": "pvm",
"m3.2xlarge": "hvm",
"m3.large": "hvm",
"m3.medium": "hvm",
"m3.xlarge": "hvm",
"r3.2xlarge": "hvm",
"r3.4xlarge": "hvm",
"r3.8xlarge": "hvm",
"r3.large": "hvm",
"r3.xlarge": "hvm",
"t1.micro": "pvm",
"t2.medium": "hvm",
"t2.micro": "hvm",
"t2.small": "hvm",
}
if opts.instance_type in instance_types:
instance_type = instance_types[opts.instance_type]
else:
instance_type = "pvm"
print >> stderr,\
"Don't recognize %s, assuming type is pvm" % opts.instance_type
ami_path = "%s/%s/%s" % (AMI_PREFIX, opts.region, instance_type)
try:
ami = urllib2.urlopen(ami_path).read().strip()
print "Spark AMI: " + ami
except:
print >> stderr, "Could not resolve AMI at: " + ami_path
sys.exit(1)
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 >> stderr, "ERROR: Must provide an identity file (-i) for ssh connections."
sys.exit(1)
if opts.key_pair is None:
print >> stderr, "ERROR: Must provide a key pair name (-k) to use on instances."
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)
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 >> stderr, ("ERROR: There are already instances running in " +
"group %s or %s" % (master_group.name, slave_group.name))
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 >> stderr, "Could not find AMI " + opts.ami
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)
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 >> stderr, ("WARNING: %d instances are still running" % running)
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)
slave_nodes += slave_res.instances
print "Launched %d slaves in %s, regid = %s" % (num_slaves_this_zone,
zone, 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)
master_nodes = master_res.instances
print "Launched master in %s, regid = %s" % (zone, master_res.id)
# Give the instances descriptive names
for master in master_nodes:
master.add_tag(
key='Name',
value='{cn}-master-{iid}'.format(cn=cluster_name, iid=master.id))
for slave in slave_nodes:
slave.add_tag(
key='Name',
value='{cn}-slave-{iid}'.format(cn=cluster_name, iid=slave.id))
# Return all the instances
return (master_nodes, slave_nodes)
# Get the EC2 instances in an existing cluster if available.
# Returns a tuple of lists of EC2 instance objects for the masters and slaves
def get_existing_cluster(conn, opts, cluster_name, die_on_error=True):
print "Searching for existing cluster " + cluster_name + "..."
reservations = conn.get_all_reservations()
master_nodes = []
slave_nodes = []
for res in reservations:
active = [i for i in res.instances if is_active(i)]
for inst in active:
group_names = [g.name for g in inst.groups]
if (cluster_name + "-master") in group_names:
master_nodes.append(inst)
elif (cluster_name + "-slaves") in group_names:
slave_nodes.append(inst)
if any((master_nodes, slave_nodes)):
print "Found %d master(s), %d slaves" % (len(master_nodes), len(slave_nodes))
if master_nodes != [] or not die_on_error:
return (master_nodes, slave_nodes)
else:
if master_nodes == [] and slave_nodes != []:
print >> sys.stderr, "ERROR: Could not find master in group " + cluster_name + "-master"
else:
print >> sys.stderr, "ERROR: Could not find any existing cluster"
sys.exit(1)
# 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 = master_nodes[0].public_dns_name
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:
print slave.public_dns_name
ssh_write(slave.public_dns_name, opts, ['tar', 'x'], dot_ssh_tar)
modules = ['spark', 'ephemeral-hdfs', 'persistent-hdfs',
'mapreduce', 'spark-standalone', 'tachyon']
if opts.hadoop_major_version == "1":
modules = filter(lambda x: x != "mapreduce", modules)
if opts.ganglia:
modules.append('ganglia')
# NOTE: We should clone the repository before running deploy_files to
# prevent ec2-variables.sh from being overwritten
ssh(
host=master,
opts=opts,
command="rm -rf spark-ec2"
+ " && "
+ "git clone https://github.com/mesos/spark-ec2.git -b {b}".format(b=MESOS_SPARK_EC2_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
)
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):
"""
Check if SSH is available on a host.
"""
try:
with open(os.devnull, 'w') as devnull:
ret = subprocess.check_call(
ssh_command(opts) + ['-t', '-t', '-o', 'ConnectTimeout=3',
'%s@%s' % (opts.user, host), stringify_command('true')],
stdout=devnull,
stderr=devnull
)
return ret == 0
except subprocess.CalledProcessError as e:
return False
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:
if not is_ssh_available(host=i.ip_address, 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()
statuses = conn.get_all_instance_status(instance_ids=[i.id for i in cluster_instances])
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: 2014-06-20
# For easy maintainability, please keep this manually-inputted dictionary sorted by key.
disks_by_instance = {
"c1.medium": 1,
"c1.xlarge": 4,
"c3.2xlarge": 2,
"c3.4xlarge": 2,
"c3.8xlarge": 2,
"c3.large": 2,
"c3.xlarge": 2,
"cc1.4xlarge": 2,
"cc2.8xlarge": 4,
"cg1.4xlarge": 2,
"cr1.8xlarge": 2,
"g2.2xlarge": 1,
"hi1.4xlarge": 2,
"hs1.8xlarge": 24,
"i2.2xlarge": 2,
"i2.4xlarge": 4,
"i2.8xlarge": 8,
"i2.xlarge": 1,
"m1.large": 2,
"m1.medium": 1,
"m1.small": 1,
"m1.xlarge": 4,
"m2.2xlarge": 1,
"m2.4xlarge": 2,
"m2.xlarge": 1,
"m3.2xlarge": 2,
"m3.large": 1,
"m3.medium": 1,
"m3.xlarge": 2,
"r3.2xlarge": 1,
"r3.4xlarge": 1,
"r3.8xlarge": 2,
"r3.large": 1,
"r3.xlarge": 1,
"t1.micro": 0,
}
if instance_type in disks_by_instance:
return disks_by_instance[instance_type]
else:
print >> stderr, ("WARNING: Don't know number of disks on instance type %s; assuming 1"
% instance_type)
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 = master_nodes[0].public_dns_name
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)
else:
# Spark-only custom deploy
spark_v = "%s|%s" % (opts.spark_git_repo, opts.spark_version)
template_vars = {
"master_list": '\n'.join([i.public_dns_name for i in master_nodes]),
"active_master": active_master,
"slave_list": '\n'.join([i.public_dns_name for i in slave_nodes]),
"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,
"hadoop_major_version": opts.hadoop_major_version,
"spark_worker_instances": "%d" % opts.worker_instances,
"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)
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']
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 >> stderr, \
"Error executing remote command, retrying after 30 seconds: {0}".format(e)
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 >> stderr, \
"Error {0} while executing remote command, retrying after 30 seconds".format(status)
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
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(