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alter defaults for workers and threads to allow more parallel tasks #446

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This commit is contained in:
jonaswinkler 2021-01-26 22:10:43 +01:00
parent 8dde7fa043
commit ab04817bea
3 changed files with 13 additions and 12 deletions
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15
docs/configuration.rst
View File

@ -376,25 +376,24 @@ PAPERLESS_THREADS_PER_WORKER=<num>
use a higher thread per worker count.
The default is a balance between the two, according to your CPU core count,
with a slight favor towards threads per worker, and leaving at least one core
free for other tasks:
with a slight favor towards threads per worker:
+----------------+---------+---------+
| CPU core count | Workers | Threads |
+----------------+---------+---------+
| 1 | 1 | 1 |
+----------------+---------+---------+
| 2 | 1 | 1 |
| 2 | 2 | 1 |
+----------------+---------+---------+
| 4 | 1 | 3 |
| 4 | 2 | 2 |
+----------------+---------+---------+
| 6 | 2 | 2 |
| 6 | 2 | 3 |
+----------------+---------+---------+
| 8 | 2 | 3 |
| 8 | 2 | 4 |
+----------------+---------+---------+
| 12 | 3 | 3 |
| 12 | 3 | 4 |
+----------------+---------+---------+
| 16 | 3 | 5 |
| 16 | 4 | 4 |
+----------------+---------+---------+
If you only specify PAPERLESS_TASK_WORKERS, paperless will adjust

4
src/documents/tests/test_settings.py
View File

@ -20,7 +20,7 @@ class TestSettings(TestCase):
self.assertEqual(default_threads, 1)
def test_workers_threads(self):
for i in range(2, 64):
for i in range(1, 64):
with mock.patch("paperless.settings.multiprocessing.cpu_count") as cpu_count:
cpu_count.return_value = i
@ -31,4 +31,4 @@ class TestSettings(TestCase):
self.assertTrue(default_workers >= 1)
self.assertTrue(default_threads >= 1)
self.assertTrue(default_workers * default_threads < i, f"{i}")
self.assertTrue(default_workers * default_threads <= i, f"{i}")

6
src/paperless/settings.py
View File

@ -354,8 +354,10 @@ LOGGING = {
def default_task_workers():
# always leave one core open
available_cores = max(multiprocessing.cpu_count() - 1, 1)
available_cores = max(multiprocessing.cpu_count(), 1)
try:
if available_cores < 4:
return available_cores
return max(
math.floor(math.sqrt(available_cores)),
1
@ -376,7 +378,7 @@ Q_CLUSTER = {
def default_threads_per_worker(task_workers):
# always leave one core open
available_cores = max(multiprocessing.cpu_count() - 1, 1)
available_cores = max(multiprocessing.cpu_count(), 1)
try:
return max(
math.floor(available_cores / task_workers),