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31 Mar 2022, Stefan Ritt, Suggestion, Maximum ODB size
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04 Apr 2022, Konstantin Olchanski, Suggestion, Maximum ODB size
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27 Apr 2023, Marius Koeppel, Suggestion, Maximum ODB size
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27 Apr 2023, Konstantin Olchanski, Suggestion, Maximum ODB size
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27 Apr 2023, Marius Koeppel, Suggestion, Maximum ODB size
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27 Apr 2023, Konstantin Olchanski, Suggestion, Maximum ODB size
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27 Apr 2023, Konstantin Olchanski, Suggestion, Maximum ODB size
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28 Apr 2023, Marius Koeppel, Suggestion, Maximum ODB size
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28 Apr 2023, Stefan Ritt, Suggestion, Maximum ODB size
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28 Apr 2023, Marius Koeppel, Suggestion, Maximum ODB size
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28 Apr 2023, Konstantin Olchanski, Suggestion, Maximum ODB size
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27 Apr 2023, Stefan Ritt, Suggestion, Maximum ODB size
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28 Apr 2023, Konstantin Olchanski, Suggestion, Maximum ODB size
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09 Jun 2023, Konstantin Olchanski, Suggestion, Maximum ODB size
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12 Jun 2023, Stefan Ritt, Suggestion, Maximum ODB size
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12 Jun 2023, Konstantin Olchanski, Suggestion, Maximum ODB size
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13 Jun 2023, Stefan Ritt, Suggestion, Maximum ODB size
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13 Jun 2023, Marius Koeppel, Suggestion, Maximum ODB size
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13 Jun 2023, Konstantin Olchanski, Suggestion, Maximum ODB size
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13 Jun 2023, Konstantin Olchanski, Suggestion, Maximum ODB size
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13 Jun 2023, Stefan Ritt, Suggestion, Maximum ODB size
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13 Jun 2023, Konstantin Olchanski, Suggestion, Maximum ODB size
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13 Jun 2023, Stefan Ritt, Suggestion, Maximum ODB size
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15 Jun 2023, Konstantin Olchanski, Suggestion, Maximum ODB size
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28 Jul 2023, Stefan Ritt, Suggestion, Maximum ODB size
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09 Aug 2023, Konstantin Olchanski, Suggestion, Maximum ODB size
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Message ID: 2485
Entry time: 28 Apr 2023
In reply to: 2482
Reply to this: 2486
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Author: |
Marius Koeppel |
Topic: |
Suggestion |
Subject: |
Maximum ODB size |
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> my vote is to bump the ODB size limit to 1999*1000*1000 (not quite 2GB). but this needs to be tested. especially save and restore from ODB, XML and JSON files, including how long it takes to save and load a 1.9GB ODB. K.O.
I had some fun with python and created a test script which can be executed in the MIDASSYS/online folder (test_odb.py). I did not really normalize the time so it will be different at different systems but I guess the trend is important (see create_time.pdf).
What is surprising to me is that even that I only write one STRING key to the time increases. Is this maybe related to what Stefan said about the run start - so that odbedit needs some time to load the bigger ODB?
Second thing is that also the creation / storing and load time is increasing. Should this be or is there a bug in the code I use or again is this related to the previous point?
The test of comparing the ODB after store / load / store already fails for the json format. I know I only test if the dicts are the same, so for timestamps this already fails.
But what is strange here is that sometimes the test works sometimes not and its different from run to run.
I will try to improve the test a bit more but for a short update this is how it looks so fare.
Best,
Marius |
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