> 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 breakdown of which by len is:
1542175 18
380340 8
340319 48
222324 168
The length 18 strings looked like binary data, so if part of obnam
generates 18 character wide strings (perhaps as a packed data structure),
that might point at what is using most of the space.
{"address": 139975408226352, "type": "str", "size": 55, "len": 18, "value":
"\u0001?:\u00d0\\\u00d0\u0082\u00f8C\u0000rm\u00b8\u00c9\u00fbo\u0010_",
"refs": []}
{"address": 139975408226408, "type": "str", "size": 55, "len": 18, "value":
"\u0000p}\u00d4.\u00ac\u00cak\u0001\u0003\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000",
"refs": []}
{"address": 139975408226464, "type": "str", "size": 55, "len": 18, "value":
"\u0000 0{c\u0092\u00da\u00b7*\u0000 0{c\u0092\u00da\u00b7*", "refs": []}
{"address": 139975408226520, "type": "str", "size": 55, "len": 18, "value":
"\u0000\u0012\u0004K]\u009d\u00a3]\u0095\u0000rm\u00b8\u00c9\u00fbo\u0010_",
"refs": []}
--
see shy jo
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