swh:1:snp:eb70f1f85391e4b077c211bec36af0061c4bf937
Tip revision: 5eec9744881eb90101a05fef8512ae8187aadb56 authored by Jenkins for Software Heritage on 17 June 2020, 14:26:27 UTC
Updated backport on buster-swh from debian/0.5.0-1_swh1 (unstable-swh)
Updated backport on buster-swh from debian/0.5.0-1_swh1 (unstable-swh)
Tip revision: 5eec974
buffer.py
# Copyright (C) 2019-2020 The Software Heritage developers
# See the AUTHORS file at the top-level directory of this distribution
# License: GNU General Public License version 3, or any later version
# See top-level LICENSE file for more information
from functools import partial
from typing import Dict, Iterable, List, Optional
from swh.core.utils import grouper
from swh.model.model import Content, BaseModel
from swh.storage import get_storage
class BufferingProxyStorage:
"""Storage implementation in charge of accumulating objects prior to
discussing with the "main" storage.
Sample configuration use case for buffering storage:
.. code-block:: yaml
storage:
cls: buffer
args:
storage:
cls: remote
args: http://storage.internal.staging.swh.network:5002/
min_batch_size:
content: 10000
content_bytes: 100000000
skipped_content: 10000
directory: 5000
revision: 1000
release: 10000
"""
def __init__(self, storage, min_batch_size=None):
self.storage = get_storage(**storage)
if min_batch_size is None:
min_batch_size = {}
self.min_batch_size = {
"content": min_batch_size.get("content", 10000),
"content_bytes": min_batch_size.get("content_bytes", 100 * 1024 * 1024),
"skipped_content": min_batch_size.get("skipped_content", 10000),
"directory": min_batch_size.get("directory", 25000),
"revision": min_batch_size.get("revision", 100000),
"release": min_batch_size.get("release", 100000),
}
self.object_types = [
"content",
"skipped_content",
"directory",
"revision",
"release",
]
self._objects = {k: {} for k in self.object_types}
def __getattr__(self, key):
if key.endswith("_add"):
object_type = key.rsplit("_", 1)[0]
if object_type in self.object_types:
return partial(self.object_add, object_type=object_type, keys=["id"],)
if key == "storage":
raise AttributeError(key)
return getattr(self.storage, key)
def content_add(self, content: Iterable[Content]) -> Dict:
"""Enqueue contents to write to the storage.
Following policies apply:
- First, check if the queue's threshold is hit.
If it is flush content to the storage.
- If not, check if the total size of enqueued contents's
threshold is hit. If it is flush content to the storage.
"""
content = list(content)
s = self.object_add(
content,
object_type="content",
keys=["sha1", "sha1_git", "sha256", "blake2s256"],
)
if not s:
buffer_ = self._objects["content"].values()
total_size = sum(c.length for c in buffer_)
if total_size >= self.min_batch_size["content_bytes"]:
return self.flush(["content"])
return s
def skipped_content_add(self, content: Iterable[Content]) -> Dict:
return self.object_add(
content,
object_type="skipped_content",
keys=["sha1", "sha1_git", "sha256", "blake2s256"],
)
def flush(self, object_types: Optional[Iterable[str]] = None) -> Dict:
summary: Dict[str, int] = self.storage.flush(object_types)
if object_types is None:
object_types = self.object_types
for object_type in object_types:
buffer_ = self._objects[object_type]
batches = grouper(buffer_.values(), n=self.min_batch_size[object_type])
for batch in batches:
add_fn = getattr(self.storage, "%s_add" % object_type)
s = add_fn(batch)
summary = {k: v + summary.get(k, 0) for k, v in s.items()}
buffer_.clear()
return summary
def object_add(
self, objects: Iterable[BaseModel], *, object_type: str, keys: List[str]
) -> Dict:
"""Enqueue objects to write to the storage. This checks if the queue's
threshold is hit. If it is actually write those to the storage.
"""
buffer_ = self._objects[object_type]
threshold = self.min_batch_size[object_type]
for obj in objects:
obj_key = tuple(getattr(obj, key) for key in keys)
buffer_[obj_key] = obj
if len(buffer_) >= threshold:
return self.flush()
return {}
def clear_buffers(self, object_types: Optional[Iterable[str]] = None) -> None:
"""Clear objects from current buffer.
WARNING:
data that has not been flushed to storage will be lost when this
method is called. This should only be called when `flush` fails and
you want to continue your processing.
"""
if object_types is None:
object_types = self.object_types
for object_type in object_types:
q = self._objects[object_type]
q.clear()
return self.storage.clear_buffers(object_types)