> 366 added objects in 5 minutes, and the memory increased by 55 mb.
The meliae dumps for that time period grew from 807 mb to 813 mb.
I don't know if that 6 mb of serialized data could use 55 mb in memory
or not.
Of the 3556035 lines in the last meliae dump, 3394078 were of type: str.
The breakd
Lars Wirzenius wrote:
> Hmm. The number of Python objects seems to be pretty steady, but the
> memory use keeps going up. That seems to indicate a memory leak
> somewhere.
Well, the number of objects seems to be going up over time.
366 added objects in 5 minutes, and the memory increased by 55 mb.
On Thu, Feb 18, 2016 at 04:13:14PM -0400, Joey Hess wrote:
> obnam grows in size to fill all 2 gb of memory on the system and
> OOMs.
Ouch. I've not had that problem, but Obnam is currently know to not be
careful about spending memory.
> Summarizing it:
Hmm. The number of Python objects seems to
Package: obnam
Version: 1.19.1-1
Severity: normal
obnam grows in size to fill all 2 gb of memory on the system and OOMs.
Memory use seems to increase the more files are backed up. I did try
setting lru-size to half of the default, but this did not change much
memory use.
I have a meliae profile o
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