def readline_block_boundary(self):
kwargs = {}
if pydoop.hadoop_version_info().has_deprecated_bs():
bs = hdfs.fs.hdfs().default_block_size()
else:
bs = u.get_bytes_per_checksum()
kwargs['blocksize'] = bs
line = "012345678\n"
path = self._make_random_path()
with self.fs.open_file(path, flags="w", **kwargs) as f:
bytes_written = lines_written = 0
while bytes_written < bs + 1:
f.write(line)
lines_written += 1
bytes_written += len(line)
with self.fs.open_file(path) as f:
lines = []
while 1:
l = f.readline()
if l == "":
break
lines.append(l)
self.assertEqual(len(lines), lines_written)
for i, l in enumerate(lines):
self.assertEqual(l, line, "line %d: %r != %r" % (i, l, line))
def block_boundary(self):
path = self._make_random_path()
CHUNK_SIZE = 10
N = 2
kwargs = {}
if pydoop.hadoop_version_info().has_deprecated_bs():
bs = hdfs.fs.hdfs().default_block_size()
else:
bs = N * get_bytes_per_checksum()
kwargs['blocksize'] = bs
total_data_size = 2 * bs
with self.fs.open_file(path, "w", **kwargs) as f:
data = make_random_data(total_data_size)
i = 0
bufsize = hdfs.common.BUFSIZE
while i < len(data):
f.write(data[i:i+bufsize])
i += bufsize
with self.fs.open_file(path) as f:
p = total_data_size - CHUNK_SIZE
for pos in 0, 1, bs-1, bs, bs+1, p-1, p, p+1, total_data_size-1:
expected_len = CHUNK_SIZE if pos <= p else total_data_size - pos
f.seek(pos)
chunk = f.read(CHUNK_SIZE)
self.assertEqual(len(chunk), expected_len)
def run_pipes(
executable,
input_path,
output_path,
more_args=None,
properties=None,
force_pydoop_submitter=False,
hadoop_conf_dir=None,
logger=None,
keep_streams=False,
):
"""
Run a pipes command.
``more_args`` (after setting input/output path) and ``properties``
are passed to :func:`run_cmd`.
If not specified otherwise, this function sets the properties
``hadoop.pipes.java.recordreader`` and ``hadoop.pipes.java.recordwriter``
to ``"true"``.
This function works around a bug in Hadoop pipes that affects
versions of Hadoop with security when the local file system is
used as the default FS (no HDFS); see
https://issues.apache.org/jira/browse/MAPREDUCE-4000. In those
set-ups, the function uses Pydoop's own pipes submitter
application. You can force the use of Pydoop's submitter by
passing the argument force_pydoop_submitter=True.
"""
if logger is None:
logger = utils.NullLogger()
if not hdfs.path.exists(executable):
raise IOError("executable %s not found" % executable)
if not hdfs.path.exists(input_path) and not (set(input_path) & GLOB_CHARS):
raise IOError("input path %s not found" % input_path)
if properties is None:
properties = {}
properties.setdefault("hadoop.pipes.java.recordreader", "true")
properties.setdefault("hadoop.pipes.java.recordwriter", "true")
if force_pydoop_submitter:
use_pydoop_submit = True
else:
use_pydoop_submit = False
ver = pydoop.hadoop_version_info()
if ver.has_security():
if ver.is_cdh_mrv2() and hdfs.default_is_local():
raise RuntimeError("mrv2 on local fs not supported yet")
use_pydoop_submit = hdfs.default_is_local()
args = ["-program", executable, "-input", input_path, "-output", output_path]
if more_args is not None:
args.extend(more_args)
if use_pydoop_submit:
submitter = "it.crs4.pydoop.pipes.Submitter"
pydoop_jar = pydoop.jar_path()
args.extend(("-libjars", pydoop_jar))
return run_class(submitter, args, properties, classpath=pydoop_jar, logger=logger, keep_streams=keep_streams)
else:
return run_cmd(
"pipes", args, properties, hadoop_conf_dir=hadoop_conf_dir, logger=logger, keep_streams=keep_streams
)
def block_boundary(self):
path = self._make_random_path()
CHUNK_SIZE = 10
N = 2
kwargs = {}
if pydoop.hadoop_version_info().has_deprecated_bs():
bs = hdfs.fs.hdfs().default_block_size()
else:
bs = N * get_bytes_per_checksum()
kwargs['blocksize'] = bs
total_data_size = 2 * bs
with self.fs.open_file(path, "w", **kwargs) as f:
data = make_random_data(total_data_size)
i = 0
bufsize = hdfs.common.BUFSIZE
while i < len(data):
f.write(data[i:i + bufsize])
i += bufsize
with self.fs.open_file(path) as f:
p = total_data_size - CHUNK_SIZE
for pos in 0, 1, bs - 1, bs, bs + 1, p - 1, p, p + 1, total_data_size - 1:
expected_len = CHUNK_SIZE if pos <= p else total_data_size - pos
f.seek(pos)
chunk = f.read(CHUNK_SIZE)
self.assertEqual(len(chunk), expected_len)
def block_boundary(self):
hd_info = pydoop.hadoop_version_info()
path = self._make_random_path()
CHUNK_SIZE = 10
N = 2
kwargs = {}
if hd_info.has_deprecated_bs():
bs = hdfs.fs.hdfs().default_block_size()
else:
# (dfs.namenode.fs-limits.min-block-size): 4096 < 1048576
bs = max(1048576, N * utils.get_bytes_per_checksum())
kwargs['blocksize'] = bs
total_data_size = 2 * bs
with self.fs.open_file(path, "w", **kwargs) as f:
i = 0
bufsize = 12 * 1024 * 1024
while i < total_data_size:
data = 'X' * min(bufsize, total_data_size - i)
f.write(data)
i += bufsize
with self.fs.open_file(path) as f:
p = total_data_size - CHUNK_SIZE
for pos in (0, 1, bs - 1, bs, bs + 1, p - 1, p, p + 1,
total_data_size - 1):
expected_len = (CHUNK_SIZE if pos <= p else total_data_size -
pos)
f.seek(pos)
chunk = f.read(CHUNK_SIZE)
self.assertEqual(len(chunk), expected_len)
def block_boundary(self):
hd_info = pydoop.hadoop_version_info()
path = self._make_random_path()
CHUNK_SIZE = 10
N = 2
kwargs = {}
if hd_info.has_deprecated_bs():
bs = hdfs.fs.hdfs().default_block_size()
else:
# (dfs.namenode.fs-limits.min-block-size): 4096 < 1048576
bs = max(1048576, N * utils.get_bytes_per_checksum())
kwargs["blocksize"] = bs
total_data_size = 2 * bs
with self.fs.open_file(path, "w", **kwargs) as f:
i = 0
bufsize = 24 * 1024 * 1024
while i < total_data_size:
data = "X" * min(bufsize, total_data_size - i)
f.write(data)
i += bufsize
with self.fs.open_file(path) as f:
p = total_data_size - CHUNK_SIZE
for pos in 0, 1, bs - 1, bs, bs + 1, p - 1, p, p + 1, total_data_size - 1:
expected_len = CHUNK_SIZE if pos <= p else total_data_size - pos
f.seek(pos)
chunk = f.read(CHUNK_SIZE)
self.assertEqual(len(chunk), expected_len)
def readline_block_boundary(self):
kwargs = {}
if pydoop.hadoop_version_info().has_deprecated_bs():
bs = hdfs.fs.hdfs().default_block_size()
else:
bs = u.get_bytes_per_checksum()
kwargs["blocksize"] = bs
line = "012345678\n"
path = self._make_random_path()
with self.fs.open_file(path, flags="w", **kwargs) as f:
bytes_written = lines_written = 0
while bytes_written < bs + 1:
f.write(line)
lines_written += 1
bytes_written += len(line)
with self.fs.open_file(path) as f:
lines = []
while 1:
l = f.readline()
if l == "":
break
lines.append(l)
self.assertEqual(len(lines), lines_written)
for i, l in enumerate(lines):
self.assertEqual(l, line, "line %d: %r != %r" % (i, l, line))
def __init__(self, data):
stream = StringIO(data)
if hadoop_version_info().has_variable_isplit_encoding():
self.filename = deserialize_text(stream)
else:
self.filename = deserialize_old_style_filename(stream)
self.offset = deserialize_long(stream)
self.length = deserialize_long(stream)
def __init__(self, data):
stream = StringIO(data)
if hadoop_version_info().has_variable_isplit_encoding():
self.filename = deserialize_text(stream)
else:
self.filename = deserialize_old_style_filename(stream)
self.offset = deserialize_long(stream)
self.length = deserialize_long(stream)
def to_string(cls, filename, offset, length):
stream = StringIO()
if hadoop_version_info().has_variable_isplit_encoding():
serialize_text(filename, stream)
else:
serialize_old_style_filename(filename, stream)
serialize_long(offset, stream)
serialize_long(length, stream)
return stream.getvalue()
def to_string(cls, filename, offset, length):
stream = StringIO()
if hadoop_version_info().has_variable_isplit_encoding():
serialize_text(filename, stream)
else:
serialize_old_style_filename(filename, stream)
serialize_long(offset, stream)
serialize_long(length, stream)
return stream.getvalue()
def __init__(self, prefix=None, logger=None):
hadoop_version_info = pydoop.hadoop_version_info()
if hadoop_version_info.is_local():
raise pydoop.LocalModeNotSupported()
self.wd = self.exe = self.input = self.output = None
self.logger = logger or utils.NullLogger()
if prefix:
self.wd = utils.make_random_str(prefix=prefix)
hdfs.mkdir(self.wd)
for n in "input", "output":
setattr(self, n, hdfs.path.join(self.wd, n))
def __init__(self, prefix=None, logger=None):
hadoop_version_info = pydoop.hadoop_version_info()
if hadoop_version_info.is_local():
raise pydoop.LocalModeNotSupported()
self.wd = self.exe = self.input = self.output = None
self.logger = logger or utils.NullLogger()
if prefix:
self.wd = utils.make_random_str(prefix=prefix)
hdfs.mkdir(self.wd)
for n in "input", "output":
setattr(self, n, hdfs.path.join(self.wd, n))
def convert_args(self, args, unknown_args):
zip_filename = utils.make_random_str(prefix="pydoop_script_",
postfix='.zip')
mr_module = utils.make_random_str(prefix="pydoop_script_module_")
mr_driver = utils.make_random_str(prefix="pydoop_script_driver_")
with ZipFile(zip_filename, 'w') as zipf:
zipf.write(args.module, arcname=mr_module+'.py')
zipf.writestr(mr_driver+'.py',
self.generate_driver(mr_module, args))
if args.python_zip is None:
args.python_zip = [zip_filename]
else:
args.python_zip.append(zip_filename)
args.module = mr_driver
args.entry_point = 'main'
args.program = mr_driver
args.do_not_use_java_record_reader = False
args.do_not_use_java_record_writer = False
args.input_format = None
args.output_format = None
args.cache_file = None
args.cache_archive = None
args.upload_to_cache = None
args.libjars = None
args.mrv2 = pydoop.hadoop_version_info().has_mrv2()
args.local_fs = False
args.conf = None
args.disable_property_name_conversion = True
args.job_conf = [('mapred.textoutputformat.separator',
args.kv_separator)]
args.avro_input = None
args.avro_output = None
# despicable hack...
properties = dict(args.D or [])
properties.update(dict(args.job_conf))
output_format = properties.get('mapred.output.format.class',
DEFAULT_OUTPUT_FORMAT)
if output_format == DEFAULT_OUTPUT_FORMAT:
if properties['mapred.textoutputformat.separator'] == '':
pydoop_jar = pydoop.jar_path()
if pydoop_jar is not None:
args.output_format = NOSEP_OUTPUT_FORMAT
args.libjars = [pydoop_jar]
else:
warnings.warn(("Can't find pydoop.jar, output will "
"probably be tab-separated"))
self.args, self.unknown_args = args, unknown_args
self.zip_filename = zip_filename
def convert_args(self, args, unknown_args):
zip_filename = utils.make_random_str(prefix="pydoop_script_",
postfix='.zip')
mr_module = utils.make_random_str(prefix="pydoop_script_module_")
mr_driver = utils.make_random_str(prefix="pydoop_script_driver_")
with ZipFile(zip_filename, 'w') as zipf:
zipf.write(args.module, arcname=mr_module + '.py')
zipf.writestr(mr_driver + '.py',
self.generate_driver(mr_module, args))
if args.python_zip is None:
args.python_zip = [zip_filename]
else:
args.python_zip.append(zip_filename)
args.module = mr_driver
args.entry_point = 'main'
args.program = mr_driver
args.do_not_use_java_record_reader = False
args.do_not_use_java_record_writer = False
args.input_format = None
args.output_format = None
args.cache_file = None
args.cache_archive = None
args.upload_to_cache = None
args.libjars = None
args.mrv2 = pydoop.hadoop_version_info().has_mrv2()
args.local_fs = False
args.conf = None
args.disable_property_name_conversion = True
args.job_conf = [('mapred.textoutputformat.separator',
args.kv_separator)]
args.avro_input = None
args.avro_output = None
# despicable hack...
properties = dict(args.D or [])
properties.update(dict(args.job_conf))
output_format = properties.get('mapred.output.format.class',
DEFAULT_OUTPUT_FORMAT)
if output_format == DEFAULT_OUTPUT_FORMAT:
if properties['mapred.textoutputformat.separator'] == '':
pydoop_jar = pydoop.jar_path()
if pydoop_jar is not None:
args.output_format = NOSEP_OUTPUT_FORMAT
args.libjars = [pydoop_jar]
else:
warnings.warn(("Can't find pydoop.jar, output will "
"probably be tab-separated"))
self.args, self.unknown_args = args, unknown_args
self.zip_filename = zip_filename
def get_hosts(self):
kwargs = {}
if pydoop.hadoop_version_info().has_deprecated_bs():
blocksize = hdfs.fs.hdfs().default_block_size()
else:
blocksize = 4096
kwargs['blocksize'] = blocksize
N = 4
content = "x" * blocksize * N
path = self._make_random_file(content=content, **kwargs)
start = 0
for i in xrange(N):
length = blocksize * i + 1
hosts_per_block = self.fs.get_hosts(path, start, length)
self.assertEqual(len(hosts_per_block), i+1)
def get_hosts(self):
kwargs = {}
if pydoop.hadoop_version_info().has_deprecated_bs():
blocksize = hdfs.fs.hdfs().default_block_size()
else:
blocksize = 4096
kwargs["blocksize"] = blocksize
N = 4
content = "x" * blocksize * N
path = self._make_random_file(content=content, **kwargs)
start = 0
for i in xrange(N):
length = blocksize * i + 1
hosts_per_block = self.fs.get_hosts(path, start, length)
self.assertEqual(len(hosts_per_block), i + 1)
def get_hosts(self):
hd_info = pydoop.hadoop_version_info()
kwargs = {}
if hd_info.has_deprecated_bs() and not hd_info.is_cdh_v5():
blocksize = hdfs.fs.hdfs().default_block_size()
else:
# (dfs.namenode.fs-limits.min-block-size): 4096 < 1048576
blocksize = 1048576
kwargs['blocksize'] = blocksize
N = 4
content = "x" * blocksize * N
path = self._make_random_file(content=content, **kwargs)
start = 0
for i in xrange(N):
length = blocksize * i + 1
hosts_per_block = self.fs.get_hosts(path, start, length)
self.assertEqual(len(hosts_per_block), i + 1)
def get_hosts(self):
hd_info = pydoop.hadoop_version_info()
kwargs = {}
if hd_info.has_deprecated_bs() and not hd_info.is_cdh_v5():
blocksize = hdfs.fs.hdfs().default_block_size()
else:
#(dfs.namenode.fs-limits.min-block-size): 4096 < 1048576
blocksize = 1048576
kwargs['blocksize'] = blocksize
N = 4
content = "x" * blocksize * N
path = self._make_random_file(content=content, **kwargs)
start = 0
for i in xrange(N):
length = blocksize * i + 1
hosts_per_block = self.fs.get_hosts(path, start, length)
self.assertEqual(len(hosts_per_block), i + 1)
def treegen(fs, root, depth, span):
if isdir(fs, root) and depth > 0:
for i in xrange(span):
path = "%s/%d_%d" % (root, depth, i)
kind = 'file' if i else 'directory'
if kind == 'file':
kwargs = {}
if pydoop.hadoop_version_info().has_deprecated_bs():
bs = hdfs.fs.hdfs().default_block_size()
else:
bs = random.sample(BS_RANGE, 1)[0]
kwargs['blocksize'] = bs
sys.stderr.write("%s %s %d\n" % (kind[0].upper(), path, (bs/MB)))
with fs.open_file(path, "w", **kwargs) as f:
f.write(path)
else:
sys.stderr.write("%s %s 0\n" % (kind[0].upper(), path))
fs.create_directory(path)
treegen(fs, path, depth-1, span)
def readline_block_boundary(self):
def _write_prefix(f, size, bs):
# Avoid memory problem with JVM
chunk_size = min(bs, 12 * 1048576)
written = 0
while written < size:
data = 'X' * min(chunk_size, size - written)
written += f.write(data)
hd_info = pydoop.hadoop_version_info()
kwargs = {}
if hd_info.has_deprecated_bs():
bs = hdfs.fs.hdfs().default_block_size()
else:
# (dfs.namenode.fs-limits.min-block-size): 4096 < 1048576
bs = 1048576
kwargs['blocksize'] = bs
line = "012345678\n"
offset = bs - (10 * len(line) + 5)
path = self._make_random_path()
with self.fs.open_file(path, flags="w", **kwargs) as f:
bytes_written = lines_written = 0
_write_prefix(f, offset, bs)
bytes_written = offset
while bytes_written < bs + 1:
f.write(line)
lines_written += 1
bytes_written += len(line)
with self.fs.open_file(path) as f:
f.seek(offset)
lines = []
while 1:
l = f.readline()
if l == "":
break
lines.append(l)
self.assertEqual(len(lines), lines_written)
for i, l in enumerate(lines):
self.assertEqual(l, line, "line %d: %r != %r" % (i, l, line))
def readline_block_boundary(self):
def _write_prefix(f, size, bs):
# Avoid memory problem with JVM
chunk_size = min(bs, 12 * 1048576)
written = 0
while written < size:
data = b'X' * min(chunk_size, size - written)
written += f.write(data)
hd_info = pydoop.hadoop_version_info()
kwargs = {}
if hd_info.has_deprecated_bs():
bs = hdfs.fs.hdfs().default_block_size()
else:
# (dfs.namenode.fs-limits.min-block-size): 4096 < 1048576
bs = 1048576
kwargs['blocksize'] = bs
line = b"012345678\n"
offset = bs - (10 * len(line) + 5)
path = self._make_random_path()
with self.fs.open_file(path, mode="w", **kwargs) as f:
bytes_written = lines_written = 0
_write_prefix(f, offset, bs)
bytes_written = offset
while bytes_written < bs + 1:
f.write(line)
lines_written += 1
bytes_written += len(line)
with self.fs.open_file(path) as f:
f.seek(offset)
lines = []
while 1:
L = f.readline()
if not L:
break
lines.append(L)
self.assertEqual(len(lines), lines_written)
for i, L in enumerate(lines):
self.assertEqual(L, line, "line %d: %r != %r" % (i, L, line))
def __init__(self):
hadoop_version_info = pydoop.hadoop_version_info()
if hadoop_version_info.is_local():
raise pydoop.LocalModeNotSupported()
self.logger = logging.getLogger("PydoopSubmitter")
self.properties = {
CACHE_FILES: '',
CACHE_ARCHIVES: '',
'mapred.create.symlink': 'yes', # backward compatibility
COMPRESS_MAP_OUTPUT: 'true',
'bl.libhdfs.opts': '-Xmx48m'
}
self.args = None
self.requested_env = dict()
self.remote_wd = None
self.remote_module = None
self.remote_module_bn = None
self.remote_exe = None
self.pipes_code = None
self.files_to_upload = []
self.unknown_args = None
def __init__(self):
hadoop_version_info = pydoop.hadoop_version_info()
if hadoop_version_info.is_local():
raise pydoop.LocalModeNotSupported()
self.logger = logging.getLogger("PydoopSubmitter")
self.properties = {
CACHE_FILES: '',
CACHE_ARCHIVES: '',
'mapred.create.symlink': 'yes', # backward compatibility
COMPRESS_MAP_OUTPUT: 'true',
'bl.libhdfs.opts': '-Xmx48m'
}
self.args = None
self.requested_env = dict()
self.remote_wd = None
self.remote_module = None
self.remote_module_bn = None
self.remote_exe = None
self.pipes_code = None
self.files_to_upload = []
self.unknown_args = None
self._use_mrv2 = None
def _get_hadoop_version_str():
import pydoop
h = pydoop.hadoop_version_info()
return '.'.join(map(str, h.main))
)
from setuptools import setup, find_packages, Extension
from distutils.command.build import build
from distutils.command.clean import clean
from distutils.errors import DistutilsSetupError
from distutils import log
import pydoop
import pydoop.utils.jvm as jvm
JAVA_HOME = jvm.get_java_home()
JVM_LIB_PATH, JVM_LIB_NAME = jvm.get_jvm_lib_path_and_name(JAVA_HOME)
HADOOP_HOME = pydoop.hadoop_home()
HADOOP_VERSION_INFO = pydoop.hadoop_version_info()
EXTENSION_MODULES = []
VERSION_FN = "VERSION"
GIT_REV_FN = "GIT_REV"
EXTRA_COMPILE_ARGS = ["-Wno-write-strings"] # http://bugs.python.org/issue6952
# properties file. Since the source is in the root dir, filename = basename
PROP_FN = PROP_BN = pydoop.__propfile_basename__
CONSOLE_SCRIPTS = ['pydoop = pydoop.app.main:main']
if sys.version_info[0] == 3:
CONSOLE_SCRIPTS.append('pydoop3 = pydoop.app.main:main')
else:
CONSOLE_SCRIPTS.append('pydoop2 = pydoop.app.main:main')
def block_size(self):
if not pydoop.hadoop_version_info().has_deprecated_bs():
for bs_MB in xrange(100, 500, 50):
bs = bs_MB * 2**20
path = self._make_random_file(blocksize=bs)
self.assertEqual(self.fs.get_path_info(path)["block_size"], bs)
from distutils.command.build_ext import build_ext
from distutils.command.build_py import build_py
from distutils.command.clean import clean
from distutils.errors import DistutilsSetupError
from distutils import log
import pydoop
import pydoop.hadoop_utils as hu
try:
JAVA_HOME = os.environ["JAVA_HOME"]
except KeyError:
raise RuntimeError("java home not found, try setting JAVA_HOME")
HADOOP_HOME = pydoop.hadoop_home(fallback=None)
HADOOP_VERSION_INFO = pydoop.hadoop_version_info()
BOOST_PYTHON = os.getenv("BOOST_PYTHON", "boost_python")
PIPES_SRC = ["src/%s.cpp" % n for n in (
"pipes",
"pipes_context",
"pipes_test_support",
"pipes_serial_utils",
"exceptions",
"pipes_input_split",
)]
HDFS_SRC = ["src/%s.cpp" % n for n in (
"hdfs_fs",
"hdfs_file",
"hdfs_common",
)]
def block_size(self):
if not pydoop.hadoop_version_info().has_deprecated_bs():
for bs_MB in xrange(100, 500, 50):
bs = bs_MB * 2 ** 20
path = self._make_random_file(blocksize=bs)
self.assertEqual(self.fs.get_path_info(path)["block_size"], bs)
def _get_hadoop_version_str():
import pydoop
h = pydoop.hadoop_version_info()
return '.'.join(map(str, h.main))
class DummyUpLink(object):
pass
example_input_splits = [
(b'/hdfs://localhost:9000/user/zag/in-dir/FGCS-1.ps\x00\x00\x00\x00\x00'
b'\x08h(\x00\x00\x00\x00\x00\x08h\x05',
'hdfs://localhost:9000/user/zag/in-dir/FGCS-1.ps', 550952, 550917),
(b'/hdfs://localhost:9000/user/zag/in-dir/FGCS-1.ps\x00\x00\x00\x00\x00'
b'\x00\x00\x00\x00\x00\x00\x00\x00\x08h(',
'hdfs://localhost:9000/user/zag/in-dir/FGCS-1.ps', 0, 550952),
(b'1hdfs://localhost:9000/user/zag/in-dir/images_list\x00\x00\x00\x00\x00'
b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00$',
'hdfs://localhost:9000/user/zag/in-dir/images_list', 0, 36)
]
if not pydoop.hadoop_version_info().has_variable_isplit_encoding():
example_input_splits = [("\x00" + raw_split, fn, o, l)
for (raw_split, fn, o, l) in example_input_splits]
class taskcontext_tc(unittest.TestCase):
def test_input_split(self):
for s in example_input_splits:
i = InputSplit(s[0])
self.assertEqual(i.filename, s[1])
self.assertEqual(i.offset, s[2])
self.assertEqual(i.length, s[3])
def test_get_input_split(self):
ctx = TaskContext(DummyUpLink())
def run_pipes(executable,
input_path,
output_path,
more_args=None,
properties=None,
force_pydoop_submitter=False,
hadoop_conf_dir=None,
logger=None):
"""
Run a pipes command.
``more_args`` (after setting input/output path) and ``properties``
are passed to :func:`run_cmd`.
If not specified otherwise, this function sets the properties
hadoop.pipes.java.recordreader and hadoop.pipes.java.recordwriter to 'true'.
This function works around a bug in Hadoop pipes that affects versions of
Hadoop with security when the local file system is used as the default FS
(no HDFS); see https://issues.apache.org/jira/browse/MAPREDUCE-4000.
In those set-ups, the function uses Pydoop's own pipes submitter application.
You can force the use of Pydoop's submitter by passing the argument
force_pydoop_submitter=True.
"""
if logger is None:
logger = utils.NullLogger()
if not hdfs.path.exists(executable):
raise IOError("executable %s not found" % executable)
if not hdfs.path.exists(input_path) and not (set(input_path) & GLOB_CHARS):
raise IOError("input path %s not found" % input_path)
if properties is None:
properties = {}
properties.setdefault('hadoop.pipes.java.recordreader', 'true')
properties.setdefault('hadoop.pipes.java.recordwriter', 'true')
if force_pydoop_submitter:
use_pydoop_submit = True
else:
use_pydoop_submit = False
ver = pydoop.hadoop_version_info()
if ver.has_security():
if ver.cdh >= (4, 0,
0) and not ver.ext and hdfs.default_is_local():
raise RuntimeError(
"mrv2 on local fs not supported yet") # FIXME
use_pydoop_submit = hdfs.default_is_local()
args = [
"-program", executable, "-input", input_path, "-output", output_path
]
if more_args is not None:
args.extend(more_args)
if use_pydoop_submit:
submitter = "it.crs4.pydoop.pipes.Submitter"
pydoop_jar = pydoop.jar_path()
args.extend(("-libjars", pydoop_jar))
return run_class(submitter,
args,
properties,
classpath=pydoop_jar,
logger=logger)
else:
return run_cmd("pipes",
args,
properties,
hadoop_conf_dir=hadoop_conf_dir,
logger=logger)
import unittest
import pydoop
from pydoop.pipes import InputSplit
example_input_splits = [
('/hdfs://localhost:9000/user/zag/in-dir/FGCS-1.ps\x00\x00\x00\x00\x00'
'\x08h(\x00\x00\x00\x00\x00\x08h\x05',
'hdfs://localhost:9000/user/zag/in-dir/FGCS-1.ps', 550952, 550917),
('/hdfs://localhost:9000/user/zag/in-dir/FGCS-1.ps\x00\x00\x00\x00\x00'
'\x00\x00\x00\x00\x00\x00\x00\x00\x08h(',
'hdfs://localhost:9000/user/zag/in-dir/FGCS-1.ps', 0, 550952),
('1hdfs://localhost:9000/user/zag/in-dir/images_list\x00\x00\x00\x00\x00'
'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00$',
'hdfs://localhost:9000/user/zag/in-dir/images_list', 0, 36)
]
if not pydoop.hadoop_version_info().has_variable_isplit_encoding():
example_input_splits = [("\x00" + raw_split, fn, o, l)
for (raw_split, fn, o, l) in example_input_splits]
class taskcontext_tc(unittest.TestCase):
def test_input_split(self):
for s in example_input_splits:
i = InputSplit(s[0])
self.assertEqual(i.filename, s[1])
self.assertEqual(i.offset, s[2])
self.assertEqual(i.length, s[3])
def suite():
suite = unittest.TestSuite()
