def build_hdfs_client():
# pylint: disable=global-statement
global _hdfs_client
_hdfs_client = AutoConfigClient()
# To warm up the connection to the namenode
# Otherwise it may take 3+ minutes at the first time
_hdfs_client.df()
class HdfsFileManager(FileManagerBase):
"""A wrapper of snakebite client."""
def can_handle(self, path):
return path.startswith('hdfs://')
def __init__(self):
self._client = AutoConfigClient()
def ls(self, path: str, recursive=False) -> List[File]:
files = []
for file in self._client.ls([path], recurse=recursive):
if file['file_type'] == 'f':
files.append(File(
path=file['path'],
size=file['length']))
return files
def move(self, source: str, destination: str) -> bool:
return len(list(self._client.rename([source], destination))) > 0
def remove(self, path: str) -> bool:
return len(list(self._client.delete([path]))) > 0
def copy(self, source: str, destination: str) -> bool:
# TODO
raise NotImplementedError()
def mkdir(self, path: str) -> bool:
return next(self._client.mkdir([path], create_parent=True))\
.get('result')
def run(self):
log.info('initiating snakebite hdfs client')
try:
client = AutoConfigClient()
except krbV.Krb5Error as _: # pylint: disable=no-member
if self.verbose:
print('', file=sys.stderr)
print(_, file=sys.stderr)
start_time = time.time()
dir_count = 0
file_count = 0
repl1_count = 0
for path in self.path_list:
try:
result_list = client.ls([path],
recurse=True,
include_toplevel=True,
include_children=True)
for result in result_list:
if self.verbose and (dir_count + file_count) % 100 == 0:
print('.', file=sys.stderr, end='')
if result['block_replication'] == 0:
dir_count += 1
continue
file_count += 1
if result['block_replication'] == 1:
file_path = result['path']
repl1_count += 1
if self.verbose:
print('', file=sys.stderr)
print(file_path)
if self.replication_factor:
log.info('setting replication factor to %s on %s',
self.replication_factor, file_path)
# returns a generator so must evaluate in order to actually execute
# otherwise you find there is no effect on the replication factor
for _ in client.setrep([file_path],
self.replication_factor,
recurse=False):
if 'result' not in _:
print(
'WARNING: result field not found in setrep result: {}'
.format(_),
file=sys.stderr)
continue
if not _['result']:
print(
'WARNING: failed to setrep: {}'.format(
_))
except (snakebite.errors.FileNotFoundException,
snakebite.errors.RequestError) as _:
if self.verbose:
print('', file=sys.stderr)
print(_, file=sys.stderr)
if self.verbose:
print('', file=sys.stderr)
secs = int(time.time() - start_time)
print('\nCompleted in {} secs\n'.format(secs), file=sys.stderr)
print('{} files with replication factor 1 out of {} files in {} dirs'\
.format(repl1_count, file_count, dir_count), file=sys.stderr)
def mv(src, dest, overwrite=False):
"""
src (str) : Source path on HDFS
dest (str) : Destination path on HDFS
overwrite (boolean) : Overwrite dest if exists
"""
client = AutoConfigClient()
list(client.rename2(src, dest, overwrite))
def mkdir(hdfs_path, create_parent=False, mode=0755):
"""
paths (list of strings) : Paths to create
create_parent (boolean) : Also create the parent directories
mode (int) : Mode the directory should be created with
Returns:
String mkdir result as json
"""
client = AutoConfigClient()
return list(client.mkdir([hdfs_path], create_parent, mode))
def rm(hdfs_path, recurse=False, force=False):
"""
hdfs_path (str or list of strings) : hdfs files to delete
recurse (boolean) : recursively delete the folder
force (boolean) : force deletion (non-interactive)
Returns:
String mkdir result as json
"""
client = AutoConfigClient()
return list(client.delete([hdfs_path], recurse))
def main():
hadoop_conf_dir = "/media/d2/code-sky/dockers/hadoop/etc/hadoop"
os.environ['HADOOP_CONF_DIR'] = hadoop_conf_dir
file_dict = {}
cli = AutoConfigClient()
target_hdfs_path = "/"
for element in cli.ls([target_hdfs_path]):
print("Result: " + str(element))
def ls(hdfs_path, recurse=False, include_toplevel=True, include_children=False):
"""
Parameters:
paths (list) : Paths to list
recurse (boolean) : Recursive listing
include_toplevel (boolean) : Include the given path in the listing. If the path is a file, include_toplevel is always True.
include_children (boolean) : Include child nodes in the listing.
Returns:
(list) path listings with attributes
"""
client = AutoConfigClient()
path_info = list(client.ls([hdfs_path], recurse, include_toplevel, include_children))
return LsObject(path_info)
def get_bite(self):
"""
If Luigi has forked, we have a different PID, and need to reconnect.
"""
config = hdfs_config.hdfs()
if self.pid != os.getpid() or not self._bite:
client_kwargs = dict(
filter(
lambda k_v: k_v[1] is not None and k_v[1] != '',
six.iteritems({
'hadoop_version': config.client_version,
'effective_user': config.effective_user,
})))
if config.snakebite_autoconfig:
"""
This is fully backwards compatible with the vanilla Client and can be used for a non HA cluster as well.
This client tries to read ``${HADOOP_PATH}/conf/hdfs-site.xml`` to get the address of the namenode.
The behaviour is the same as Client.
"""
from snakebite.client import AutoConfigClient
self._bite = AutoConfigClient(**client_kwargs)
else:
from snakebite.client import Client
self._bite = Client(config.namenode_host, config.namenode_port,
**client_kwargs)
return self._bite
def get_bite(self):
"""
If Luigi has forked, we have a different PID, and need to reconnect.
"""
if self.pid != os.getpid() or not self._bite:
client_kwargs = dict(
filter(
lambda (k, v): v is not None and v != '', {
'hadoop_version':
self.config.getint("hdfs", "client_version", None),
'effective_user':
self.config.get("hdfs", "effective_user", None)
}.iteritems()))
if self.config.getboolean("hdfs", "snakebite_autoconfig", False):
"""
This is fully backwards compatible with the vanilla Client and can be used for a non HA cluster as well.
This client tries to read ``${HADOOP_PATH}/conf/hdfs-site.xml`` to get the address of the namenode.
The behaviour is the same as Client.
"""
from snakebite.client import AutoConfigClient
self._bite = AutoConfigClient(**client_kwargs)
else:
from snakebite.client import Client
self._bite = Client(
self.config.get("hdfs", "namenode_host"),
self.config.getint("hdfs", "namenode_port"),
**client_kwargs)
return self._bite
def get_bite(self):
"""
If Luigi has forked, we have a different PID, and need to reconnect.
"""
if self.pid != os.getpid() or not self._bite:
autoconfig_enabled = self.config.getboolean(
"hdfs", "snakebite_autoconfig", False)
if autoconfig_enabled is True:
"""
This is fully backwards compatible with the vanilla Client and can be used for a non HA cluster as well.
This client tries to read ``${HADOOP_PATH}/conf/hdfs-site.xml`` to get the address of the namenode.
The behaviour is the same as Client.
"""
from snakebite.client import AutoConfigClient
self._bite = AutoConfigClient()
else:
from snakebite.client import Client
try:
ver = self.config.getint("hdfs", "client_version")
if ver is None:
raise RuntimeError()
self._bite = Client(
self.config.get("hdfs", "namenode_host"),
self.config.getint("hdfs", "namenode_port"),
hadoop_version=ver)
except:
self._bite = Client(
self.config.get("hdfs", "namenode_host"),
self.config.getint("hdfs", "namenode_port"))
return self._bite
def get_conn(self):
'''
Returns a snakebite HDFSClient object.
'''
connections = self.get_connections(self.hdfs_conn_id)
use_sasl = False
if configuration.get('core', 'security') == 'kerberos':
use_sasl = True
client = None
''' When using HAClient, proxy_user must be the same, so is ok to always take the first '''
effective_user = self.proxy_user or connections[0].login
if len(connections) == 1:
autoconfig = connections[0].extra_dejson.get('autoconfig', False)
if autoconfig:
client = AutoConfigClient(effective_user=effective_user, use_sasl=use_sasl)
else:
client = Client(connections[0].host, connections[0].port,
effective_user=effective_user, use_sasl=use_sasl)
elif len(connections) > 1:
nn = [Namenode(conn.host, conn.port) for conn in connections]
client = HAClient(nn, effective_user=effective_user, use_sasl=use_sasl)
else:
raise HDFSHookException("conn_id doesn't exist in the repository")
return client
def test_autoconfig_client_trash_false(self, environ_get):
environ_get.return_value = False
HDFSConfig.core_try_paths = (
self.get_config_path('ha-core-site.xml'), )
HDFSConfig.hdfs_try_paths = (
self.get_config_path('ha-noport-hdfs-site.xml'), )
client = AutoConfigClient()
self.assertFalse(client.use_trash)
class HdfsFileManager(FileManagerBase):
"""A wrapper of snakebite client."""
def can_handle(self, path):
return path.startswith('hdfs://')
def __init__(self):
self._client = AutoConfigClient()
def ls(self, path: str, recursive=False) -> List[str]:
files = []
for file in self._client.ls([path], recurse=recursive):
if file['file_type'] == 'f':
files.append(file['path'])
return files
def move(self, source: str, destination: str) -> bool:
return len(list(self._client.rename([source], destination))) > 0
def remove(self, path: str) -> bool:
return len(list(self._client.delete([path]))) > 0
class HDFSClient(object):
def __init__(self):
check_output("hadoop")
self.fs = AutoConfigClient()
def homedir(self):
return "/user/%s/" % getuser()
def exists(self, path):
try:
return self.fs.test(path)
except Exception:
return False
def get_conn(self) -> Any:
"""
Returns a snakebite HDFSClient object.
"""
# When using HAClient, proxy_user must be the same, so is ok to always
# take the first.
effective_user = self.proxy_user
autoconfig = self.autoconfig
use_sasl = conf.get('core', 'security') == 'kerberos'
try:
connections = self.get_connections(self.hdfs_conn_id)
if not effective_user:
effective_user = connections[0].login
if not autoconfig:
autoconfig = connections[0].extra_dejson.get(
'autoconfig', False)
hdfs_namenode_principal = connections[0].extra_dejson.get(
'hdfs_namenode_principal')
except AirflowException:
if not autoconfig:
raise
if autoconfig:
# will read config info from $HADOOP_HOME conf files
client = AutoConfigClient(effective_user=effective_user,
use_sasl=use_sasl)
elif len(connections) == 1:
client = Client(
connections[0].host,
connections[0].port,
effective_user=effective_user,
use_sasl=use_sasl,
hdfs_namenode_principal=hdfs_namenode_principal,
)
elif len(connections) > 1:
name_node = [
Namenode(conn.host, conn.port) for conn in connections
]
client = HAClient(
name_node,
effective_user=effective_user,
use_sasl=use_sasl,
hdfs_namenode_principal=hdfs_namenode_principal,
)
else:
raise HDFSHookException("conn_id doesn't exist in the repository "
"and autoconfig is not specified")
return client
import urllib2, os, json, pytz, sys
import datetime, calendar, pprint
import argparse
import snakebite
import subprocess
from snakebite.client import AutoConfigClient
client = AutoConfigClient()
# download.py
# modified version of /home/zsb739/code/libs/ripe-measurement-downloader/experiment_launcher/download.py
# This script downloads data from ripe atlas and stores it in the hdfs
def parse_args():
parser = argparse.ArgumentParser(
description='Download daily RIPE data for the provided '
'measurement ID number')
parser.add_argument(
'measurement',
type=int,
nargs="+",
help="The integer identification number for the desired "
"measurement")
return parser.parse_args()
def days(start, stop=None):
if stop == None:
curr_time = datetime.datetime.utcnow()
stop_time = datetime.datetime(curr_time.year,
curr_time.month,
def __init__(self):
self._client = AutoConfigClient()
def __init__(self):
check_output("hadoop")
self.fs = AutoConfigClient()
active_namenode = which_active_namenode.communicate()[0].rstrip('\n').rsplit(':')[0]
break
else:
logger.info(node + " is the standby node")
continue
# bail out if the current node we're running on is not the active namenode.
if active_namenode != socket.getfqdn():
logger.info("active node " + active_namenode + " is not the current host, so bailing out.")
exit(-1)
else:
logger.info("active node is " + active_namenode)
client = AutoConfigClient()
client.use_trash=False
donotdelete_whitelist = [
# don't remove hadoop-mapred, this kills running jobs
re.compile("hadoop-mapred"),
# let's explicitly match hbase.
re.compile("^/hbase/?"),
# don't nuke this; hbase uses it for bulk loading.
re.compile("^/tmp/hbase-staging/?"),
# let's try to make sure we're not matching against a top-level path
re.compile("^/[-_.a-zA-Z0-9]+/?$"),
parser.add_argument('-t', '--title', default='Cutflow Efficiency')
parser.add_argument(
'-x',
'--NoX',
action='store_true',
help='This argument suppresses showing plots via X-forwarding')
parser.add_argument('-o',
'--NoOutput',
action='store_true',
help='This argument suppresses the output of PDF plots')
args = parser.parse_args()
df_list = []
file_list = []
fs = AutoConfigClient()
HT_eff_tot = []
MHT_eff_tot = []
BDP_eff_tot = []
NBJet_eff_tot = []
NJet_eff_tot = []
NVeto_eff_tot = []
M_sq = []
M_lsp = []
for f in fs.text([args.file + '/*/ROOTCuts_output/ROOTCuts.txt']):
df = pd.read_csv(StringIO(f), delimiter=r'\s+')
df_HT = df.loc[(df['HT'] > 1200.)]
df_MHT = df.loc[(df['MHT'] > 200.)]
df_NBJet = df.loc[(df['NBJet'] > 1)]
logger.info(node + " is the active node")
which_active_namenode = subprocess.Popen(['hdfs','getconf','-confKey','dfs.namenode.rpc-address.'+hdfs_cluster+'.'+node], stdout=subprocess.PIPE)
active_namenode = which_active_namenode.communicate()[0].rstrip('\n').rsplit(':')[0]
break
else:
logger.info(node + " is the standby node")
continue
if active_namenode != socket.getfqdn():
logger.info("active node " + active_namenode + " is not the current host, so bailing out.")
exit(-1)
else:
logger.info("active node is " + active_namenode)
client = AutoConfigClient()
logger.info("Getting user list from /etc/passwd and ldap")
# get a sorted user list from the passwd directory (file+ldap)
user_list = sorted(pwd.getpwall(), key=lambda tup: tup[0])
for user in user_list:
username = user.pw_name
userdir = "/user/" + username
if user.pw_uid <= 500:
continue
if user.pw_uid >= 65534:
continue
if client.test(userdir, exists=True):
from snakebite.client import AutoConfigClient
import pandas as pd
fs = AutoConfigClient()
def ls(paths=['/'], recursive=False):
if not isinstance(paths, list) and not isinstance(paths, tuple):
paths = [paths]
data = [
dict(size=p['length'],
path=p['path'],
ftype=p['file_type'],
date=p['modification_time']) for p in fs.ls(paths, recursive)
]
df = pd.DataFrame(data)
df = df.reindex(['size', 'path', 'ftype', 'date'], axis=1)
df['size'] = df['size'].astype(int)
df['date'] = pd.to_datetime(df['date'], unit='ms')
# ignore current uploads
df = df[~df.path.str.endswith('.upload')]
return df
