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dnanexus/dx-toolkit | src/python/dxpy/utils/spelling_corrector.py | correct | def correct(word, known_words):
"""
:param word: Word to correct
:type word: string
:param known_words: List of known words
:type known_words: iterable of strings
Given **word**, suggests a correction from **known_words**. If no reasonably close correction is found, returns
**word**.
""... | python | def correct(word, known_words):
"""
:param word: Word to correct
:type word: string
:param known_words: List of known words
:type known_words: iterable of strings
Given **word**, suggests a correction from **known_words**. If no reasonably close correction is found, returns
**word**.
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/api/map_job/model_datastore_input_reader.py | ModelDatastoreInputReader.split_input | def split_input(cls, job_config):
"""Inherit docs."""
params = job_config.input_reader_params
shard_count = job_config.shard_count
query_spec = cls._get_query_spec(params)
if not property_range.should_shard_by_property_range(query_spec.filters):
return super(ModelDatastoreInputReader, cls).sp... | python | def split_input(cls, job_config):
"""Inherit docs."""
params = job_config.input_reader_params
shard_count = job_config.shard_count
query_spec = cls._get_query_spec(params)
if not property_range.should_shard_by_property_range(query_spec.filters):
return super(ModelDatastoreInputReader, cls).sp... | [
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/api/map_job/model_datastore_input_reader.py | ModelDatastoreInputReader.validate | def validate(cls, job_config):
"""Inherit docs."""
super(ModelDatastoreInputReader, cls).validate(job_config)
params = job_config.input_reader_params
entity_kind = params[cls.ENTITY_KIND_PARAM]
# Fail fast if Model cannot be located.
try:
model_class = util.for_name(entity_kind)
except... | python | def validate(cls, job_config):
"""Inherit docs."""
super(ModelDatastoreInputReader, cls).validate(job_config)
params = job_config.input_reader_params
entity_kind = params[cls.ENTITY_KIND_PARAM]
# Fail fast if Model cannot be located.
try:
model_class = util.for_name(entity_kind)
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/api/map_job/model_datastore_input_reader.py | ModelDatastoreInputReader._validate_filters | def _validate_filters(cls, filters, model_class):
"""Validate user supplied filters.
Validate filters are on existing properties and filter values
have valid semantics.
Args:
filters: user supplied filters. Each filter should be a list or tuple of
format (<property_name_as_str>, <query_o... | python | def _validate_filters(cls, filters, model_class):
"""Validate user supplied filters.
Validate filters are on existing properties and filter values
have valid semantics.
Args:
filters: user supplied filters. Each filter should be a list or tuple of
format (<property_name_as_str>, <query_o... | [
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/api/map_job/model_datastore_input_reader.py | ModelDatastoreInputReader._validate_filters_ndb | def _validate_filters_ndb(cls, filters, model_class):
"""Validate ndb.Model filters."""
if not filters:
return
properties = model_class._properties
for f in filters:
prop, _, val = f
if prop not in properties:
raise errors.BadReaderParamsError(
"Property %s is not... | python | def _validate_filters_ndb(cls, filters, model_class):
"""Validate ndb.Model filters."""
if not filters:
return
properties = model_class._properties
for f in filters:
prop, _, val = f
if prop not in properties:
raise errors.BadReaderParamsError(
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/context.py | _normalize_entity | def _normalize_entity(value):
"""Return an entity from an entity or model instance."""
if ndb is not None and isinstance(value, ndb.Model):
return None
if getattr(value, "_populate_internal_entity", None):
return value._populate_internal_entity()
return value | python | def _normalize_entity(value):
"""Return an entity from an entity or model instance."""
if ndb is not None and isinstance(value, ndb.Model):
return None
if getattr(value, "_populate_internal_entity", None):
return value._populate_internal_entity()
return value | [
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/context.py | _normalize_key | def _normalize_key(value):
"""Return a key from an entity, model instance, key, or key string."""
if ndb is not None and isinstance(value, (ndb.Model, ndb.Key)):
return None
if getattr(value, "key", None):
return value.key()
elif isinstance(value, basestring):
return datastore.Key(value)
else:
... | python | def _normalize_key(value):
"""Return a key from an entity, model instance, key, or key string."""
if ndb is not None and isinstance(value, (ndb.Model, ndb.Key)):
return None
if getattr(value, "key", None):
return value.key()
elif isinstance(value, basestring):
return datastore.Key(value)
else:
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/context.py | _ItemList.append | def append(self, item):
"""Add new item to the list.
If needed, append will first flush existing items and clear existing items.
Args:
item: an item to add to the list.
"""
if self.should_flush():
self.flush()
self.items.append(item) | python | def append(self, item):
"""Add new item to the list.
If needed, append will first flush existing items and clear existing items.
Args:
item: an item to add to the list.
"""
if self.should_flush():
self.flush()
self.items.append(item) | [
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/context.py | _ItemList.flush | def flush(self):
"""Force a flush."""
if not self.items:
return
retry = 0
options = {"deadline": DATASTORE_DEADLINE}
while retry <= self.__timeout_retries:
try:
self.__flush_function(self.items, options)
self.clear()
break
except db.Timeout, e:
logg... | python | def flush(self):
"""Force a flush."""
if not self.items:
return
retry = 0
options = {"deadline": DATASTORE_DEADLINE}
while retry <= self.__timeout_retries:
try:
self.__flush_function(self.items, options)
self.clear()
break
except db.Timeout, e:
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/context.py | _MutationPool.put | def put(self, entity):
"""Registers entity to put to datastore.
Args:
entity: an entity or model instance to put.
"""
actual_entity = _normalize_entity(entity)
if actual_entity is None:
return self.ndb_put(entity)
self.puts.append(actual_entity) | python | def put(self, entity):
"""Registers entity to put to datastore.
Args:
entity: an entity or model instance to put.
"""
actual_entity = _normalize_entity(entity)
if actual_entity is None:
return self.ndb_put(entity)
self.puts.append(actual_entity) | [
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/context.py | _MutationPool.ndb_put | def ndb_put(self, entity):
"""Like put(), but for NDB entities."""
assert ndb is not None and isinstance(entity, ndb.Model)
self.ndb_puts.append(entity) | python | def ndb_put(self, entity):
"""Like put(), but for NDB entities."""
assert ndb is not None and isinstance(entity, ndb.Model)
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/context.py | _MutationPool.delete | def delete(self, entity):
"""Registers entity to delete from datastore.
Args:
entity: an entity, model instance, or key to delete.
"""
key = _normalize_key(entity)
if key is None:
return self.ndb_delete(entity)
self.deletes.append(key) | python | def delete(self, entity):
"""Registers entity to delete from datastore.
Args:
entity: an entity, model instance, or key to delete.
"""
key = _normalize_key(entity)
if key is None:
return self.ndb_delete(entity)
self.deletes.append(key) | [
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/context.py | _MutationPool.ndb_delete | def ndb_delete(self, entity_or_key):
"""Like delete(), but for NDB entities/keys."""
if ndb is not None and isinstance(entity_or_key, ndb.Model):
key = entity_or_key.key
else:
key = entity_or_key
self.ndb_deletes.append(key) | python | def ndb_delete(self, entity_or_key):
"""Like delete(), but for NDB entities/keys."""
if ndb is not None and isinstance(entity_or_key, ndb.Model):
key = entity_or_key.key
else:
key = entity_or_key
self.ndb_deletes.append(key) | [
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/context.py | _MutationPool.flush | def flush(self):
"""Flush(apply) all changed to datastore."""
self.puts.flush()
self.deletes.flush()
self.ndb_puts.flush()
self.ndb_deletes.flush() | python | def flush(self):
"""Flush(apply) all changed to datastore."""
self.puts.flush()
self.deletes.flush()
self.ndb_puts.flush()
self.ndb_deletes.flush() | [
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/context.py | _MutationPool._flush_puts | def _flush_puts(self, items, options):
"""Flush all puts to datastore."""
datastore.Put(items, config=self._create_config(options)) | python | def _flush_puts(self, items, options):
"""Flush all puts to datastore."""
datastore.Put(items, config=self._create_config(options)) | [
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/context.py | _MutationPool._flush_deletes | def _flush_deletes(self, items, options):
"""Flush all deletes to datastore."""
datastore.Delete(items, config=self._create_config(options)) | python | def _flush_deletes(self, items, options):
"""Flush all deletes to datastore."""
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/context.py | _MutationPool._flush_ndb_puts | def _flush_ndb_puts(self, items, options):
"""Flush all NDB puts to datastore."""
assert ndb is not None
ndb.put_multi(items, config=self._create_config(options)) | python | def _flush_ndb_puts(self, items, options):
"""Flush all NDB puts to datastore."""
assert ndb is not None
ndb.put_multi(items, config=self._create_config(options)) | [
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/context.py | _MutationPool._flush_ndb_deletes | def _flush_ndb_deletes(self, items, options):
"""Flush all deletes to datastore."""
assert ndb is not None
ndb.delete_multi(items, config=self._create_config(options)) | python | def _flush_ndb_deletes(self, items, options):
"""Flush all deletes to datastore."""
assert ndb is not None
ndb.delete_multi(items, config=self._create_config(options)) | [
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/context.py | _MutationPool._create_config | def _create_config(self, options):
"""Creates datastore Config.
Returns:
A datastore_rpc.Configuration instance.
"""
return datastore.CreateConfig(deadline=options["deadline"],
force_writes=self.force_writes) | python | def _create_config(self, options):
"""Creates datastore Config.
Returns:
A datastore_rpc.Configuration instance.
"""
return datastore.CreateConfig(deadline=options["deadline"],
force_writes=self.force_writes) | [
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/context.py | _Counters.increment | def increment(self, counter_name, delta=1):
"""Increment counter value.
Args:
counter_name: name of the counter as string.
delta: increment delta as int.
"""
self._shard_state.counters_map.increment(counter_name, delta) | python | def increment(self, counter_name, delta=1):
"""Increment counter value.
Args:
counter_name: name of the counter as string.
delta: increment delta as int.
"""
self._shard_state.counters_map.increment(counter_name, delta) | [
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/datastore_range_iterators.py | _PropertyRangeModelIterator.to_json | def to_json(self):
"""Inherit doc."""
cursor = self._cursor
if self._query is not None:
if isinstance(self._query, db.Query):
cursor = self._query.cursor()
else:
cursor = self._query.cursor_after()
if cursor is None or isinstance(cursor, basestring):
cursor_object = Fa... | python | def to_json(self):
"""Inherit doc."""
cursor = self._cursor
if self._query is not None:
if isinstance(self._query, db.Query):
cursor = self._query.cursor()
else:
cursor = self._query.cursor_after()
if cursor is None or isinstance(cursor, basestring):
cursor_object = Fa... | [
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/datastore_range_iterators.py | _PropertyRangeModelIterator.from_json | def from_json(cls, json):
"""Inherit doc."""
obj = cls(property_range.PropertyRange.from_json(json["property_range"]),
namespace_range.NamespaceRange.from_json_object(json["ns_range"]),
model.QuerySpec.from_json(json["query_spec"]))
cursor = json["cursor"]
# lint bug. Class m... | python | def from_json(cls, json):
"""Inherit doc."""
obj = cls(property_range.PropertyRange.from_json(json["property_range"]),
namespace_range.NamespaceRange.from_json_object(json["ns_range"]),
model.QuerySpec.from_json(json["query_spec"]))
cursor = json["cursor"]
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/datastore_range_iterators.py | _MultiPropertyRangeModelIterator.to_json | def to_json(self):
"""Inherit doc."""
json = {"name": self.__class__.__name__,
"num_ranges": len(self._iters)}
for i in xrange(len(self._iters)):
json_item = self._iters[i].to_json()
query_spec = json_item["query_spec"]
item_name = json_item["name"]
# Delete and move one... | python | def to_json(self):
"""Inherit doc."""
json = {"name": self.__class__.__name__,
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for i in xrange(len(self._iters)):
json_item = self._iters[i].to_json()
query_spec = json_item["query_spec"]
item_name = json_item["name"]
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/datastore_range_iterators.py | _MultiPropertyRangeModelIterator.from_json | def from_json(cls, json):
"""Inherit doc."""
num_ranges = int(json["num_ranges"])
query_spec = json["query_spec"]
item_name = json["item_name"]
p_range_iters = []
for i in xrange(num_ranges):
json_item = json[str(i)]
# Place query_spec, name back into each iterator
json_item["... | python | def from_json(cls, json):
"""Inherit doc."""
num_ranges = int(json["num_ranges"])
query_spec = json["query_spec"]
item_name = json["item_name"]
p_range_iters = []
for i in xrange(num_ranges):
json_item = json[str(i)]
# Place query_spec, name back into each iterator
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/datastore_range_iterators.py | _KeyRangesIterator.to_json | def to_json(self):
"""Inherit doc."""
current_iter = None
if self._current_iter:
current_iter = self._current_iter.to_json()
return {"key_ranges": self._key_ranges.to_json(),
"query_spec": self._query_spec.to_json(),
"current_iter": current_iter,
"key_range_ite... | python | def to_json(self):
"""Inherit doc."""
current_iter = None
if self._current_iter:
current_iter = self._current_iter.to_json()
return {"key_ranges": self._key_ranges.to_json(),
"query_spec": self._query_spec.to_json(),
"current_iter": current_iter,
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/datastore_range_iterators.py | _KeyRangesIterator.from_json | def from_json(cls, json):
"""Inherit doc."""
key_range_iter_cls = _KEY_RANGE_ITERATORS[json["key_range_iter_cls"]]
obj = cls(key_ranges.KeyRangesFactory.from_json(json["key_ranges"]),
model.QuerySpec.from_json(json["query_spec"]),
key_range_iter_cls)
current_iter = None
... | python | def from_json(cls, json):
"""Inherit doc."""
key_range_iter_cls = _KEY_RANGE_ITERATORS[json["key_range_iter_cls"]]
obj = cls(key_ranges.KeyRangesFactory.from_json(json["key_ranges"]),
model.QuerySpec.from_json(json["query_spec"]),
key_range_iter_cls)
current_iter = None
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/datastore_range_iterators.py | AbstractKeyRangeIterator.to_json | def to_json(self):
"""Serializes all states into json form.
Returns:
all states in json-compatible map.
"""
cursor = self._get_cursor()
cursor_object = False
if cursor and isinstance(cursor, datastore_query.Cursor):
cursor = cursor.to_websafe_string()
cursor_object = True
... | python | def to_json(self):
"""Serializes all states into json form.
Returns:
all states in json-compatible map.
"""
cursor = self._get_cursor()
cursor_object = False
if cursor and isinstance(cursor, datastore_query.Cursor):
cursor = cursor.to_websafe_string()
cursor_object = True
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/datastore_range_iterators.py | AbstractKeyRangeIterator.from_json | def from_json(cls, json):
"""Reverse of to_json."""
obj = cls(key_range.KeyRange.from_json(json["key_range"]),
model.QuerySpec.from_json(json["query_spec"]))
cursor = json["cursor"]
# lint bug. Class method can access protected fields.
# pylint: disable=protected-access
if cursor a... | python | def from_json(cls, json):
"""Reverse of to_json."""
obj = cls(key_range.KeyRange.from_json(json["key_range"]),
model.QuerySpec.from_json(json["query_spec"]))
cursor = json["cursor"]
# lint bug. Class method can access protected fields.
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/status.py | find_mapreduce_yaml | def find_mapreduce_yaml(status_file=__file__):
"""Traverse directory trees to find mapreduce.yaml file.
Begins with the location of status.py and then moves on to check the working
directory.
Args:
status_file: location of status.py, overridable for testing purposes.
Returns:
the path of mapreduce.... | python | def find_mapreduce_yaml(status_file=__file__):
"""Traverse directory trees to find mapreduce.yaml file.
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directory.
Args:
status_file: location of status.py, overridable for testing purposes.
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/status.py | _find_mapreduce_yaml | def _find_mapreduce_yaml(start, checked):
"""Traverse the directory tree identified by start until a directory already
in checked is encountered or the path of mapreduce.yaml is found.
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that the same directories do not get rechecked.
... | python | def _find_mapreduce_yaml(start, checked):
"""Traverse the directory tree identified by start until a directory already
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/status.py | parse_mapreduce_yaml | def parse_mapreduce_yaml(contents):
"""Parses mapreduce.yaml file contents.
Args:
contents: mapreduce.yaml file contents.
Returns:
MapReduceYaml object with all the data from original file.
Raises:
errors.BadYamlError: when contents is not a valid mapreduce.yaml file.
"""
try:
builder = y... | python | def parse_mapreduce_yaml(contents):
"""Parses mapreduce.yaml file contents.
Args:
contents: mapreduce.yaml file contents.
Returns:
MapReduceYaml object with all the data from original file.
Raises:
errors.BadYamlError: when contents is not a valid mapreduce.yaml file.
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/status.py | get_mapreduce_yaml | def get_mapreduce_yaml(parse=parse_mapreduce_yaml):
"""Locates mapreduce.yaml, loads and parses its info.
Args:
parse: Used for testing.
Returns:
MapReduceYaml object.
Raises:
errors.BadYamlError: when contents is not a valid mapreduce.yaml file or the
file is missing.
"""
mr_yaml_path = ... | python | def get_mapreduce_yaml(parse=parse_mapreduce_yaml):
"""Locates mapreduce.yaml, loads and parses its info.
Args:
parse: Used for testing.
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MapReduceYaml object.
Raises:
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/status.py | MapReduceYaml.to_dict | def to_dict(mapreduce_yaml):
"""Converts a MapReduceYaml file into a JSON-encodable dictionary.
For use in user-visible UI and internal methods for interfacing with
user code (like param validation). as a list
Args:
mapreduce_yaml: The Pyton representation of the mapreduce.yaml document.
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/api/map_job/input_reader.py | InputReader.validate | def validate(cls, job_config):
"""Validates relevant parameters.
This method can validate fields which it deems relevant.
Args:
job_config: an instance of map_job.JobConfig.
Raises:
errors.BadReaderParamsError: required parameters are missing or invalid.
"""
if job_config.input_re... | python | def validate(cls, job_config):
"""Validates relevant parameters.
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/shuffler.py | _sort_records_map | def _sort_records_map(records):
"""Map function sorting records.
Converts records to KeyValue protos, sorts them by key and writes them
into new GCS file. Creates _OutputFile entity to record resulting
file name.
Args:
records: list of records which are serialized KeyValue protos.
"""
ctx = context.... | python | def _sort_records_map(records):
"""Map function sorting records.
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records: list of records which are serialized KeyValue protos.
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/shuffler.py | _merge_map | def _merge_map(key, values, partial):
"""A map function used in merge phase.
Stores (key, values) into KeyValues proto and yields its serialization.
Args:
key: values key.
values: values themselves.
partial: True if more values for this key will follow. False otherwise.
Yields:
The proto.
"... | python | def _merge_map(key, values, partial):
"""A map function used in merge phase.
Stores (key, values) into KeyValues proto and yields its serialization.
Args:
key: values key.
values: values themselves.
partial: True if more values for this key will follow. False otherwise.
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/shuffler.py | _hashing_map | def _hashing_map(binary_record):
"""A map function used in hash phase.
Reads KeyValue from binary record.
Args:
binary_record: The binary record.
Yields:
The (key, value).
"""
proto = kv_pb.KeyValue()
proto.ParseFromString(binary_record)
yield (proto.key(), proto.value()) | python | def _hashing_map(binary_record):
"""A map function used in hash phase.
Reads KeyValue from binary record.
Args:
binary_record: The binary record.
Yields:
The (key, value).
"""
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/shuffler.py | _MergingReader.split_input | def split_input(cls, mapper_spec):
"""Split input into multiple shards."""
filelists = mapper_spec.params[cls.FILES_PARAM]
max_values_count = mapper_spec.params.get(cls.MAX_VALUES_COUNT_PARAM, -1)
max_values_size = mapper_spec.params.get(cls.MAX_VALUES_SIZE_PARAM, -1)
return [cls([0] * len(files), m... | python | def split_input(cls, mapper_spec):
"""Split input into multiple shards."""
filelists = mapper_spec.params[cls.FILES_PARAM]
max_values_count = mapper_spec.params.get(cls.MAX_VALUES_COUNT_PARAM, -1)
max_values_size = mapper_spec.params.get(cls.MAX_VALUES_SIZE_PARAM, -1)
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/shuffler.py | _MergingReader.validate | def validate(cls, mapper_spec):
"""Validate reader parameters in mapper_spec."""
if mapper_spec.input_reader_class() != cls:
raise errors.BadReaderParamsError("Input reader class mismatch")
params = mapper_spec.params
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raise errors.BadReaderParamsError("Missi... | python | def validate(cls, mapper_spec):
"""Validate reader parameters in mapper_spec."""
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raise errors.BadReaderParamsError("Input reader class mismatch")
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/shuffler.py | _HashingGCSOutputWriter.validate | def validate(cls, mapper_spec):
"""Validates mapper specification.
Args:
mapper_spec: an instance of model.MapperSpec to validate.
Raises:
BadWriterParamsError: when Output writer class mismatch.
"""
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"""Validates mapper specification.
Args:
mapper_spec: an instance of model.MapperSpec to validate.
Raises:
BadWriterParamsError: when Output writer class mismatch.
"""
if mapper_spec.output_writer_class() != cls:
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/shuffler.py | _HashingGCSOutputWriter.to_json | def to_json(self):
"""Returns writer state to serialize in json.
Returns:
A json-izable version of the OutputWriter state.
"""
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# flush each pool to minimize the size of each filehandle before we
# serialize it.
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"""Returns writer state to serialize in json.
Returns:
A json-izable version of the OutputWriter state.
"""
# Use the member variable (since we don't have access to the context) to
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/shuffler.py | _HashingGCSOutputWriter.create | def create(cls, mr_spec, shard_number, shard_attempt, _writer_state=None):
"""Inherit docs."""
mapper_spec = mr_spec.mapper
params = output_writers._get_params(mapper_spec)
bucket_name = params.get(cls.BUCKET_NAME_PARAM)
shards = mapper_spec.shard_count
filehandles = []
filename = (mr_spec.... | python | def create(cls, mr_spec, shard_number, shard_attempt, _writer_state=None):
"""Inherit docs."""
mapper_spec = mr_spec.mapper
params = output_writers._get_params(mapper_spec)
bucket_name = params.get(cls.BUCKET_NAME_PARAM)
shards = mapper_spec.shard_count
filehandles = []
filename = (mr_spec.... | [
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/shuffler.py | _HashingGCSOutputWriter.get_filenames | def get_filenames(cls, mapreduce_state):
"""See parent class."""
shards = mapreduce_state.mapreduce_spec.mapper.shard_count
filenames = []
for _ in range(shards):
filenames.append([None] * shards)
shard_states = model.ShardState.find_all_by_mapreduce_state(mapreduce_state)
for x, shard_sta... | python | def get_filenames(cls, mapreduce_state):
"""See parent class."""
shards = mapreduce_state.mapreduce_spec.mapper.shard_count
filenames = []
for _ in range(shards):
filenames.append([None] * shards)
shard_states = model.ShardState.find_all_by_mapreduce_state(mapreduce_state)
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/shuffler.py | _HashingGCSOutputWriter.finalize | def finalize(self, ctx, shard_state):
"""See parent class."""
filenames = []
for filehandle in self._filehandles:
filenames.append(filehandle.name)
filehandle.close()
shard_state.writer_state = {"shard_filenames": filenames} | python | def finalize(self, ctx, shard_state):
"""See parent class."""
filenames = []
for filehandle in self._filehandles:
filenames.append(filehandle.name)
filehandle.close()
shard_state.writer_state = {"shard_filenames": filenames} | [
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/shuffler.py | _HashingGCSOutputWriter.write | def write(self, data):
"""Write data.
Args:
data: actual data yielded from handler. Type is writer-specific.
"""
ctx = context.get()
if len(data) != 2:
logging.error("Got bad tuple of length %d (2-tuple expected): %s",
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try:
key = str(data[... | python | def write(self, data):
"""Write data.
Args:
data: actual data yielded from handler. Type is writer-specific.
"""
ctx = context.get()
if len(data) != 2:
logging.error("Got bad tuple of length %d (2-tuple expected): %s",
len(data), data)
try:
key = str(data[... | [
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/api/map_job/map_job_config.py | JobConfig._get_mapper_params | def _get_mapper_params(self):
"""Converts self to model.MapperSpec.params."""
reader_params = self.input_reader_cls.params_to_json(
self.input_reader_params)
# TODO(user): Do the same for writer params.
return {"input_reader": reader_params,
"output_writer": self.output_writer_params... | python | def _get_mapper_params(self):
"""Converts self to model.MapperSpec.params."""
reader_params = self.input_reader_cls.params_to_json(
self.input_reader_params)
# TODO(user): Do the same for writer params.
return {"input_reader": reader_params,
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/api/map_job/map_job_config.py | JobConfig._get_mapper_spec | def _get_mapper_spec(self):
"""Converts self to model.MapperSpec."""
# pylint: disable=g-import-not-at-top
from mapreduce import model
return model.MapperSpec(
handler_spec=util._obj_to_path(self.mapper),
input_reader_spec=util._obj_to_path(self.input_reader_cls),
params=self._g... | python | def _get_mapper_spec(self):
"""Converts self to model.MapperSpec."""
# pylint: disable=g-import-not-at-top
from mapreduce import model
return model.MapperSpec(
handler_spec=util._obj_to_path(self.mapper),
input_reader_spec=util._obj_to_path(self.input_reader_cls),
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/api/map_job/map_job_config.py | JobConfig._get_mr_params | def _get_mr_params(self):
"""Converts self to model.MapreduceSpec.params."""
return {"force_writes": self._force_writes,
"done_callback": self.done_callback_url,
"user_params": self.user_params,
"shard_max_attempts": self.shard_max_attempts,
"task_max_attempts": s... | python | def _get_mr_params(self):
"""Converts self to model.MapreduceSpec.params."""
return {"force_writes": self._force_writes,
"done_callback": self.done_callback_url,
"user_params": self.user_params,
"shard_max_attempts": self.shard_max_attempts,
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/api/map_job/map_job_config.py | JobConfig._get_default_mr_params | def _get_default_mr_params(cls):
"""Gets default values for old API."""
cfg = cls(_lenient=True)
mr_params = cfg._get_mr_params()
mr_params["api_version"] = 0
return mr_params | python | def _get_default_mr_params(cls):
"""Gets default values for old API."""
cfg = cls(_lenient=True)
mr_params = cfg._get_mr_params()
mr_params["api_version"] = 0
return mr_params | [
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/api/map_job/map_job_config.py | JobConfig._to_map_job_config | def _to_map_job_config(cls,
mr_spec,
# TODO(user): Remove this parameter after it can be
# read from mr_spec.
queue_name):
"""Converts model.MapreduceSpec back to JobConfig.
This method allows our internal metho... | python | def _to_map_job_config(cls,
mr_spec,
# TODO(user): Remove this parameter after it can be
# read from mr_spec.
queue_name):
"""Converts model.MapreduceSpec back to JobConfig.
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/records.py | RecordsWriter.__write_record | def __write_record(self, record_type, data):
"""Write single physical record."""
length = len(data)
crc = crc32c.crc_update(crc32c.CRC_INIT, [record_type])
crc = crc32c.crc_update(crc, data)
crc = crc32c.crc_finalize(crc)
self.__writer.write(
struct.pack(_HEADER_FORMAT, _mask_crc(crc),... | python | def __write_record(self, record_type, data):
"""Write single physical record."""
length = len(data)
crc = crc32c.crc_update(crc32c.CRC_INIT, [record_type])
crc = crc32c.crc_update(crc, data)
crc = crc32c.crc_finalize(crc)
self.__writer.write(
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/records.py | RecordsWriter.write | def write(self, data):
"""Write single record.
Args:
data: record data to write as string, byte array or byte sequence.
"""
block_remaining = _BLOCK_SIZE - self.__position % _BLOCK_SIZE
if block_remaining < _HEADER_LENGTH:
# Header won't fit into remainder
self.__writer.write('\x... | python | def write(self, data):
"""Write single record.
Args:
data: record data to write as string, byte array or byte sequence.
"""
block_remaining = _BLOCK_SIZE - self.__position % _BLOCK_SIZE
if block_remaining < _HEADER_LENGTH:
# Header won't fit into remainder
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/records.py | RecordsWriter._pad_block | def _pad_block(self):
"""Pad block with 0.
Pad current block with 0. Reader will simply treat these as corrupted
record and skip the block.
This method is idempotent.
"""
pad_length = _BLOCK_SIZE - self.__position % _BLOCK_SIZE
if pad_length and pad_length != _BLOCK_SIZE:
self.__writ... | python | def _pad_block(self):
"""Pad block with 0.
Pad current block with 0. Reader will simply treat these as corrupted
record and skip the block.
This method is idempotent.
"""
pad_length = _BLOCK_SIZE - self.__position % _BLOCK_SIZE
if pad_length and pad_length != _BLOCK_SIZE:
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/records.py | RecordsReader.__try_read_record | def __try_read_record(self):
"""Try reading a record.
Returns:
(data, record_type) tuple.
Raises:
EOFError: when end of file was reached.
InvalidRecordError: when valid record could not be read.
"""
block_remaining = _BLOCK_SIZE - self.__reader.tell() % _BLOCK_SIZE
if block_re... | python | def __try_read_record(self):
"""Try reading a record.
Returns:
(data, record_type) tuple.
Raises:
EOFError: when end of file was reached.
InvalidRecordError: when valid record could not be read.
"""
block_remaining = _BLOCK_SIZE - self.__reader.tell() % _BLOCK_SIZE
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/records.py | RecordsReader.__sync | def __sync(self):
"""Skip reader to the block boundary."""
pad_length = _BLOCK_SIZE - self.__reader.tell() % _BLOCK_SIZE
if pad_length and pad_length != _BLOCK_SIZE:
data = self.__reader.read(pad_length)
if len(data) != pad_length:
raise EOFError('Read %d bytes instead of %d' %
... | python | def __sync(self):
"""Skip reader to the block boundary."""
pad_length = _BLOCK_SIZE - self.__reader.tell() % _BLOCK_SIZE
if pad_length and pad_length != _BLOCK_SIZE:
data = self.__reader.read(pad_length)
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/records.py | RecordsReader.read | def read(self):
"""Reads record from current position in reader.
Returns:
original bytes stored in a single record.
"""
data = None
while True:
last_offset = self.tell()
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(chunk, record_type) = self.__try_read_record()
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... | python | def read(self):
"""Reads record from current position in reader.
Returns:
original bytes stored in a single record.
"""
data = None
while True:
last_offset = self.tell()
try:
(chunk, record_type) = self.__try_read_record()
if record_type == _RECORD_TYPE_NONE:
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/mapper_pipeline.py | MapperPipeline.run | def run(self,
job_name,
handler_spec,
input_reader_spec,
output_writer_spec=None,
params=None,
shards=None,
base_path=None):
"""Start a mapreduce job.
Args:
job_name: mapreduce name. Only for display purpose.
handler_spec: fully ... | python | def run(self,
job_name,
handler_spec,
input_reader_spec,
output_writer_spec=None,
params=None,
shards=None,
base_path=None):
"""Start a mapreduce job.
Args:
job_name: mapreduce name. Only for display purpose.
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/mapper_pipeline.py | MapperPipeline.callback | def callback(self):
"""Callback after this async pipeline finishes."""
if self.was_aborted:
return
mapreduce_id = self.outputs.job_id.value
mapreduce_state = model.MapreduceState.get_by_job_id(mapreduce_id)
if mapreduce_state.result_status != model.MapreduceState.RESULT_SUCCESS:
self.re... | python | def callback(self):
"""Callback after this async pipeline finishes."""
if self.was_aborted:
return
mapreduce_id = self.outputs.job_id.value
mapreduce_state = model.MapreduceState.get_by_job_id(mapreduce_id)
if mapreduce_state.result_status != model.MapreduceState.RESULT_SUCCESS:
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/control.py | start_map | def start_map(name,
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shard_count=None,
output_writer_spec=None,
mapreduce_parameters=None,
base_path=None,
queue_name=None,
eta=None,
c... | python | def start_map(name,
handler_spec,
reader_spec,
mapper_parameters,
shard_count=None,
output_writer_spec=None,
mapreduce_parameters=None,
base_path=None,
queue_name=None,
eta=None,
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/api/map_job/map_job_control.py | Job.get_status | def get_status(self):
"""Get status enum.
Returns:
One of the status enum.
"""
self.__update_state()
if self._state.active:
return self.RUNNING
else:
return self._state.result_status | python | def get_status(self):
"""Get status enum.
Returns:
One of the status enum.
"""
self.__update_state()
if self._state.active:
return self.RUNNING
else:
return self._state.result_status | [
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/api/map_job/map_job_control.py | Job.get_counter | def get_counter(self, counter_name, default=0):
"""Get the value of the named counter from this job.
When a job is running, counter values won't be very accurate.
Args:
counter_name: name of the counter in string.
default: default value if the counter doesn't exist.
Returns:
Value i... | python | def get_counter(self, counter_name, default=0):
"""Get the value of the named counter from this job.
When a job is running, counter values won't be very accurate.
Args:
counter_name: name of the counter in string.
default: default value if the counter doesn't exist.
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/api/map_job/map_job_control.py | Job.get_outputs | def get_outputs(self):
"""Get outputs of this job.
Should only call if status is SUCCESS.
Yields:
Iterators, one for each shard. Each iterator is
from the argument of map_job.output_writer.commit_output.
"""
assert self.SUCCESS == self.get_status()
ss = model.ShardState.find_all_by... | python | def get_outputs(self):
"""Get outputs of this job.
Should only call if status is SUCCESS.
Yields:
Iterators, one for each shard. Each iterator is
from the argument of map_job.output_writer.commit_output.
"""
assert self.SUCCESS == self.get_status()
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/api/map_job/map_job_control.py | Job.submit | def submit(cls, job_config, in_xg_transaction=False):
"""Submit the job to run.
Args:
job_config: an instance of map_job.MapJobConfig.
in_xg_transaction: controls what transaction scope to use to start this MR
job. If True, there has to be an already opened cross-group transaction
s... | python | def submit(cls, job_config, in_xg_transaction=False):
"""Submit the job to run.
Args:
job_config: an instance of map_job.MapJobConfig.
in_xg_transaction: controls what transaction scope to use to start this MR
job. If True, there has to be an already opened cross-group transaction
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/api/map_job/map_job_control.py | Job.__update_state | def __update_state(self):
"""Fetches most up to date state from db."""
# Only if the job was not in a terminal state.
if self._state.active:
self._state = self.__get_state_by_id(self.job_config.job_id) | python | def __update_state(self):
"""Fetches most up to date state from db."""
# Only if the job was not in a terminal state.
if self._state.active:
self._state = self.__get_state_by_id(self.job_config.job_id) | [
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/api/map_job/map_job_control.py | Job.__get_state_by_id | def __get_state_by_id(cls, job_id):
"""Get job state by id.
Args:
job_id: job id.
Returns:
model.MapreduceState for the job.
Raises:
ValueError: if the job state is missing.
"""
state = model.MapreduceState.get_by_job_id(job_id)
if state is None:
raise ValueError("... | python | def __get_state_by_id(cls, job_id):
"""Get job state by id.
Args:
job_id: job id.
Returns:
model.MapreduceState for the job.
Raises:
ValueError: if the job state is missing.
"""
state = model.MapreduceState.get_by_job_id(job_id)
if state is None:
raise ValueError("... | [
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/api/map_job/map_job_control.py | Job.__create_and_save_state | def __create_and_save_state(cls, job_config, mapreduce_spec):
"""Save map job state to datastore.
Save state to datastore so that UI can see it immediately.
Args:
job_config: map_job.JobConfig.
mapreduce_spec: model.MapreduceSpec.
Returns:
model.MapreduceState for this job.
"""
... | python | def __create_and_save_state(cls, job_config, mapreduce_spec):
"""Save map job state to datastore.
Save state to datastore so that UI can see it immediately.
Args:
job_config: map_job.JobConfig.
mapreduce_spec: model.MapreduceSpec.
Returns:
model.MapreduceState for this job.
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/api/map_job/map_job_control.py | Job.__add_kickoff_task | def __add_kickoff_task(cls, job_config, mapreduce_spec):
"""Add kickoff task to taskqueue.
Args:
job_config: map_job.JobConfig.
mapreduce_spec: model.MapreduceSpec,
"""
params = {"mapreduce_id": job_config.job_id}
# Task is not named so that it can be added within a transaction.
kic... | python | def __add_kickoff_task(cls, job_config, mapreduce_spec):
"""Add kickoff task to taskqueue.
Args:
job_config: map_job.JobConfig.
mapreduce_spec: model.MapreduceSpec,
"""
params = {"mapreduce_id": job_config.job_id}
# Task is not named so that it can be added within a transaction.
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/json_util.py | JsonMixin.to_json_str | def to_json_str(self):
"""Convert data to json string representation.
Returns:
json representation as string.
"""
_json = self.to_json()
try:
return json.dumps(_json, sort_keys=True, cls=JsonEncoder)
except:
logging.exception("Could not serialize JSON: %r", _json)
raise | python | def to_json_str(self):
"""Convert data to json string representation.
Returns:
json representation as string.
"""
_json = self.to_json()
try:
return json.dumps(_json, sort_keys=True, cls=JsonEncoder)
except:
logging.exception("Could not serialize JSON: %r", _json)
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/json_util.py | JsonMixin.from_json_str | def from_json_str(cls, json_str):
"""Convert json string representation into class instance.
Args:
json_str: json representation as string.
Returns:
New instance of the class with data loaded from json string.
"""
return cls.from_json(json.loads(json_str, cls=JsonDecoder)) | python | def from_json_str(cls, json_str):
"""Convert json string representation into class instance.
Args:
json_str: json representation as string.
Returns:
New instance of the class with data loaded from json string.
"""
return cls.from_json(json.loads(json_str, cls=JsonDecoder)) | [
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/json_util.py | JsonProperty.get_value_for_datastore | def get_value_for_datastore(self, model_instance):
"""Gets value for datastore.
Args:
model_instance: instance of the model class.
Returns:
datastore-compatible value.
"""
value = super(JsonProperty, self).get_value_for_datastore(model_instance)
if not value:
return None
... | python | def get_value_for_datastore(self, model_instance):
"""Gets value for datastore.
Args:
model_instance: instance of the model class.
Returns:
datastore-compatible value.
"""
value = super(JsonProperty, self).get_value_for_datastore(model_instance)
if not value:
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/json_util.py | JsonProperty.make_value_from_datastore | def make_value_from_datastore(self, value):
"""Convert value from datastore representation.
Args:
value: datastore value.
Returns:
value to store in the model.
"""
if value is None:
return None
_json = json.loads(value, cls=JsonDecoder)
if self.data_type == dict:
r... | python | def make_value_from_datastore(self, value):
"""Convert value from datastore representation.
Args:
value: datastore value.
Returns:
value to store in the model.
"""
if value is None:
return None
_json = json.loads(value, cls=JsonDecoder)
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/json_util.py | JsonProperty.validate | def validate(self, value):
"""Validate value.
Args:
value: model value.
Returns:
Whether the specified value is valid data type value.
Raises:
BadValueError: when value is not of self.data_type type.
"""
if value is not None and not isinstance(value, self.data_type):
r... | python | def validate(self, value):
"""Validate value.
Args:
value: model value.
Returns:
Whether the specified value is valid data type value.
Raises:
BadValueError: when value is not of self.data_type type.
"""
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/model.py | HugeTask.add | def add(self, queue_name, transactional=False):
"""Add task to the queue."""
task = self.to_task()
task.add(queue_name, transactional) | python | def add(self, queue_name, transactional=False):
"""Add task to the queue."""
task = self.to_task()
task.add(queue_name, transactional) | [
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/model.py | HugeTask.to_task | def to_task(self):
"""Convert to a taskqueue task."""
# Never pass params to taskqueue.Task. Use payload instead. Otherwise,
# it's up to a particular taskqueue implementation to generate
# payload from params. It could blow up payload size over limit.
return taskqueue.Task(
url=self.url,
... | python | def to_task(self):
"""Convert to a taskqueue task."""
# Never pass params to taskqueue.Task. Use payload instead. Otherwise,
# it's up to a particular taskqueue implementation to generate
# payload from params. It could blow up payload size over limit.
return taskqueue.Task(
url=self.url,
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/model.py | HugeTask.decode_payload | def decode_payload(cls, request):
"""Decode task payload.
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Args:
request: a webapp Request instance.
Returns:
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request: a webapp Request instance.
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/model.py | CountersMap.increment | def increment(self, counter_name, delta):
"""Increment counter value.
Args:
counter_name: counter name as String.
delta: increment delta as Integer.
Returns:
new counter value.
"""
current_value = self.counters.get(counter_name, 0)
new_value = current_value + delta
self.c... | python | def increment(self, counter_name, delta):
"""Increment counter value.
Args:
counter_name: counter name as String.
delta: increment delta as Integer.
Returns:
new counter value.
"""
current_value = self.counters.get(counter_name, 0)
new_value = current_value + delta
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/model.py | CountersMap.add_map | def add_map(self, counters_map):
"""Add all counters from the map.
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map.
Args:
counters_map: CounterMap instance to add.
"""
for counter_name in counters_map.counters:
self.increment(counter_name, counters_map... | python | def add_map(self, counters_map):
"""Add all counters from the map.
For each counter in the passed map, adds its value to the counter in this
map.
Args:
counters_map: CounterMap instance to add.
"""
for counter_name in counters_map.counters:
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/model.py | CountersMap.sub_map | def sub_map(self, counters_map):
"""Subtracts all counters from the map.
For each counter in the passed map, subtracts its value to the counter in
this map.
Args:
counters_map: CounterMap instance to subtract.
"""
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self.increment(counter_na... | python | def sub_map(self, counters_map):
"""Subtracts all counters from the map.
For each counter in the passed map, subtracts its value to the counter in
this map.
Args:
counters_map: CounterMap instance to subtract.
"""
for counter_name in counters_map.counters:
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/model.py | MapperSpec.to_json | def to_json(self):
"""Serializes this MapperSpec into a json-izable object."""
result = {
"mapper_handler_spec": self.handler_spec,
"mapper_input_reader": self.input_reader_spec,
"mapper_params": self.params,
"mapper_shard_count": self.shard_count
}
if self.output_writer_... | python | def to_json(self):
"""Serializes this MapperSpec into a json-izable object."""
result = {
"mapper_handler_spec": self.handler_spec,
"mapper_input_reader": self.input_reader_spec,
"mapper_params": self.params,
"mapper_shard_count": self.shard_count
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/model.py | MapreduceSpec.get_hooks | def get_hooks(self):
"""Returns a hooks.Hooks class or None if no hooks class has been set."""
if self.__hooks is None and self.hooks_class_name is not None:
hooks_class = util.for_name(self.hooks_class_name)
if not isinstance(hooks_class, type):
raise ValueError("hooks_class_name must refer... | python | def get_hooks(self):
"""Returns a hooks.Hooks class or None if no hooks class has been set."""
if self.__hooks is None and self.hooks_class_name is not None:
hooks_class = util.for_name(self.hooks_class_name)
if not isinstance(hooks_class, type):
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/model.py | MapreduceSpec.to_json | def to_json(self):
"""Serializes all data in this mapreduce spec into json form.
Returns:
data in json format.
"""
mapper_spec = self.mapper.to_json()
return {
"name": self.name,
"mapreduce_id": self.mapreduce_id,
"mapper_spec": mapper_spec,
"params": self.para... | python | def to_json(self):
"""Serializes all data in this mapreduce spec into json form.
Returns:
data in json format.
"""
mapper_spec = self.mapper.to_json()
return {
"name": self.name,
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"mapper_spec": mapper_spec,
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/model.py | MapreduceSpec.from_json | def from_json(cls, json):
"""Create new MapreduceSpec from the json, encoded by to_json.
Args:
json: json representation of MapreduceSpec.
Returns:
an instance of MapreduceSpec with all data deserialized from json.
"""
mapreduce_spec = cls(json["name"],
json["m... | python | def from_json(cls, json):
"""Create new MapreduceSpec from the json, encoded by to_json.
Args:
json: json representation of MapreduceSpec.
Returns:
an instance of MapreduceSpec with all data deserialized from json.
"""
mapreduce_spec = cls(json["name"],
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/model.py | MapreduceSpec._get_mapreduce_spec | def _get_mapreduce_spec(cls, mr_id):
"""Get Mapreduce spec from mr id."""
key = 'GAE-MR-spec: %s' % mr_id
spec_json = memcache.get(key)
if spec_json:
return cls.from_json(spec_json)
state = MapreduceState.get_by_job_id(mr_id)
spec = state.mapreduce_spec
spec_json = spec.to_json()
m... | python | def _get_mapreduce_spec(cls, mr_id):
"""Get Mapreduce spec from mr id."""
key = 'GAE-MR-spec: %s' % mr_id
spec_json = memcache.get(key)
if spec_json:
return cls.from_json(spec_json)
state = MapreduceState.get_by_job_id(mr_id)
spec = state.mapreduce_spec
spec_json = spec.to_json()
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/model.py | MapreduceState.get_key_by_job_id | def get_key_by_job_id(cls, mapreduce_id):
"""Retrieves the Key for a Job.
Args:
mapreduce_id: The job to retrieve.
Returns:
Datastore Key that can be used to fetch the MapreduceState.
"""
return db.Key.from_path(cls.kind(), str(mapreduce_id)) | python | def get_key_by_job_id(cls, mapreduce_id):
"""Retrieves the Key for a Job.
Args:
mapreduce_id: The job to retrieve.
Returns:
Datastore Key that can be used to fetch the MapreduceState.
"""
return db.Key.from_path(cls.kind(), str(mapreduce_id)) | [
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/model.py | MapreduceState.set_processed_counts | def set_processed_counts(self, shards_processed, shards_status):
"""Updates a chart url to display processed count for each shard.
Args:
shards_processed: list of integers with number of processed entities in
each shard
"""
chart = google_chart_api.BarChart()
def filter_status(status... | python | def set_processed_counts(self, shards_processed, shards_status):
"""Updates a chart url to display processed count for each shard.
Args:
shards_processed: list of integers with number of processed entities in
each shard
"""
chart = google_chart_api.BarChart()
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/model.py | MapreduceState.create_new | def create_new(mapreduce_id=None,
gettime=datetime.datetime.now):
"""Create a new MapreduceState.
Args:
mapreduce_id: Mapreduce id as string.
gettime: Used for testing.
"""
if not mapreduce_id:
mapreduce_id = MapreduceState.new_mapreduce_id()
state = MapreduceStat... | python | def create_new(mapreduce_id=None,
gettime=datetime.datetime.now):
"""Create a new MapreduceState.
Args:
mapreduce_id: Mapreduce id as string.
gettime: Used for testing.
"""
if not mapreduce_id:
mapreduce_id = MapreduceState.new_mapreduce_id()
state = MapreduceStat... | [
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/model.py | TransientShardState.reset_for_retry | def reset_for_retry(self, output_writer):
"""Reset self for shard retry.
Args:
output_writer: new output writer that contains new output files.
"""
self.input_reader = self.initial_input_reader
self.slice_id = 0
self.retries += 1
self.output_writer = output_writer
self.handler = s... | python | def reset_for_retry(self, output_writer):
"""Reset self for shard retry.
Args:
output_writer: new output writer that contains new output files.
"""
self.input_reader = self.initial_input_reader
self.slice_id = 0
self.retries += 1
self.output_writer = output_writer
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/model.py | TransientShardState.advance_for_next_slice | def advance_for_next_slice(self, recovery_slice=False):
"""Advance relavent states for next slice.
Args:
recovery_slice: True if this slice is running recovery logic.
See handlers.MapperWorkerCallbackHandler._attempt_slice_recovery
for more info.
"""
if recovery_slice:
self.... | python | def advance_for_next_slice(self, recovery_slice=False):
"""Advance relavent states for next slice.
Args:
recovery_slice: True if this slice is running recovery logic.
See handlers.MapperWorkerCallbackHandler._attempt_slice_recovery
for more info.
"""
if recovery_slice:
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/model.py | TransientShardState.to_dict | def to_dict(self):
"""Convert state to dictionary to save in task payload."""
result = {"mapreduce_spec": self.mapreduce_spec.to_json_str(),
"shard_id": self.shard_id,
"slice_id": str(self.slice_id),
"input_reader_state": self.input_reader.to_json_str(),
"... | python | def to_dict(self):
"""Convert state to dictionary to save in task payload."""
result = {"mapreduce_spec": self.mapreduce_spec.to_json_str(),
"shard_id": self.shard_id,
"slice_id": str(self.slice_id),
"input_reader_state": self.input_reader.to_json_str(),
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/model.py | TransientShardState.from_request | def from_request(cls, request):
"""Create new TransientShardState from webapp request."""
mapreduce_spec = MapreduceSpec.from_json_str(request.get("mapreduce_spec"))
mapper_spec = mapreduce_spec.mapper
input_reader_spec_dict = json.loads(request.get("input_reader_state"),
... | python | def from_request(cls, request):
"""Create new TransientShardState from webapp request."""
mapreduce_spec = MapreduceSpec.from_json_str(request.get("mapreduce_spec"))
mapper_spec = mapreduce_spec.mapper
input_reader_spec_dict = json.loads(request.get("input_reader_state"),
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/model.py | ShardState.reset_for_retry | def reset_for_retry(self):
"""Reset self for shard retry."""
self.retries += 1
self.last_work_item = ""
self.active = True
self.result_status = None
self.input_finished = False
self.counters_map = CountersMap()
self.slice_id = 0
self.slice_start_time = None
self.slice_request_id ... | python | def reset_for_retry(self):
"""Reset self for shard retry."""
self.retries += 1
self.last_work_item = ""
self.active = True
self.result_status = None
self.input_finished = False
self.counters_map = CountersMap()
self.slice_id = 0
self.slice_start_time = None
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/model.py | ShardState.advance_for_next_slice | def advance_for_next_slice(self, recovery_slice=False):
"""Advance self for next slice.
Args:
recovery_slice: True if this slice is running recovery logic.
See handlers.MapperWorkerCallbackHandler._attempt_slice_recovery
for more info.
"""
self.slice_start_time = None
self.sli... | python | def advance_for_next_slice(self, recovery_slice=False):
"""Advance self for next slice.
Args:
recovery_slice: True if this slice is running recovery logic.
See handlers.MapperWorkerCallbackHandler._attempt_slice_recovery
for more info.
"""
self.slice_start_time = None
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/model.py | ShardState.copy_from | def copy_from(self, other_state):
"""Copy data from another shard state entity to self."""
for prop in self.properties().values():
setattr(self, prop.name, getattr(other_state, prop.name)) | python | def copy_from(self, other_state):
"""Copy data from another shard state entity to self."""
for prop in self.properties().values():
setattr(self, prop.name, getattr(other_state, prop.name)) | [
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/model.py | ShardState.find_all_by_mapreduce_state | def find_all_by_mapreduce_state(cls, mapreduce_state):
"""Find all shard states for given mapreduce.
Args:
mapreduce_state: MapreduceState instance
Yields:
shard states sorted by shard id.
"""
keys = cls.calculate_keys_by_mapreduce_state(mapreduce_state)
i = 0
while i < len(key... | python | def find_all_by_mapreduce_state(cls, mapreduce_state):
"""Find all shard states for given mapreduce.
Args:
mapreduce_state: MapreduceState instance
Yields:
shard states sorted by shard id.
"""
keys = cls.calculate_keys_by_mapreduce_state(mapreduce_state)
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/model.py | ShardState.calculate_keys_by_mapreduce_state | def calculate_keys_by_mapreduce_state(cls, mapreduce_state):
"""Calculate all shard states keys for given mapreduce.
Args:
mapreduce_state: MapreduceState instance
Returns:
A list of keys for shard states, sorted by shard id.
The corresponding shard states may not exist.
"""
if m... | python | def calculate_keys_by_mapreduce_state(cls, mapreduce_state):
"""Calculate all shard states keys for given mapreduce.
Args:
mapreduce_state: MapreduceState instance
Returns:
A list of keys for shard states, sorted by shard id.
The corresponding shard states may not exist.
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/model.py | ShardState.create_new | def create_new(cls, mapreduce_id, shard_number):
"""Create new shard state.
Args:
mapreduce_id: unique mapreduce id as string.
shard_number: shard number for which to create shard state.
Returns:
new instance of ShardState ready to put into datastore.
"""
shard_id = cls.shard_id_... | python | def create_new(cls, mapreduce_id, shard_number):
"""Create new shard state.
Args:
mapreduce_id: unique mapreduce id as string.
shard_number: shard number for which to create shard state.
Returns:
new instance of ShardState ready to put into datastore.
"""
shard_id = cls.shard_id_... | [
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/model.py | MapreduceControl.get_key_by_job_id | def get_key_by_job_id(cls, mapreduce_id):
"""Retrieves the Key for a mapreduce ID.
Args:
mapreduce_id: The job to fetch.
Returns:
Datastore Key for the command for the given job ID.
"""
return db.Key.from_path(cls.kind(), "%s:%s" % (mapreduce_id, cls._KEY_NAME)) | python | def get_key_by_job_id(cls, mapreduce_id):
"""Retrieves the Key for a mapreduce ID.
Args:
mapreduce_id: The job to fetch.
Returns:
Datastore Key for the command for the given job ID.
"""
return db.Key.from_path(cls.kind(), "%s:%s" % (mapreduce_id, cls._KEY_NAME)) | [
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/model.py | MapreduceControl.abort | def abort(cls, mapreduce_id, **kwargs):
"""Causes a job to abort.
Args:
mapreduce_id: The job to abort. Not verified as a valid job.
"""
cls(key_name="%s:%s" % (mapreduce_id, cls._KEY_NAME),
command=cls.ABORT).put(**kwargs) | python | def abort(cls, mapreduce_id, **kwargs):
"""Causes a job to abort.
Args:
mapreduce_id: The job to abort. Not verified as a valid job.
"""
cls(key_name="%s:%s" % (mapreduce_id, cls._KEY_NAME),
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/api/map_job/datastore_input_reader.py | DatastoreInputReader.validate | def validate(cls, job_config):
"""Inherit docs."""
super(DatastoreInputReader, cls).validate(job_config)
params = job_config.input_reader_params
entity_kind = params[cls.ENTITY_KIND_PARAM]
# Check for a "." in the entity kind.
if "." in entity_kind:
logging.warning(
". detected i... | python | def validate(cls, job_config):
"""Inherit docs."""
super(DatastoreInputReader, cls).validate(job_config)
params = job_config.input_reader_params
entity_kind = params[cls.ENTITY_KIND_PARAM]
# Check for a "." in the entity kind.
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GoogleCloudPlatform/appengine-mapreduce | python/src/mapreduce/base_handler.py | TaskQueueHandler.initialize | def initialize(self, request, response):
"""Initialize.
1. call webapp init.
2. check request is indeed from taskqueue.
3. check the task has not been retried too many times.
4. run handler specific processing logic.
5. run error handling logic if precessing failed.
Args:
request: a ... | python | def initialize(self, request, response):
"""Initialize.
1. call webapp init.
2. check request is indeed from taskqueue.
3. check the task has not been retried too many times.
4. run handler specific processing logic.
5. run error handling logic if precessing failed.
Args:
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