Thank`s Allin!
Now it is obvious that the slow speed of dbnomics 0.4 with or without
metadata is related to the fact that both are using same new API of
dbnomics.
Same problem with the failed statement of a single request as I just
figured out: The installed version of dbnomics 0.4 needs a correct
stated dataset. Monthly data like ECB/IRS/M.IT.L.L40.CI.0000.EUR.N.Z
runs only with a monthly dataset and not with a quaterly dataset. My
installed version of dbnomics 0.2 in gretl 2018c runs with both datasets
without an error.
Klaus
Am 29.03.2021 um 23:56 schrieb Allin Cottrell:
On Mon, 29 Mar 2021, klaus.hasenbach(a)web.de wrote:
> Thank you, Allin!
>
> But I guess there is a bug in dbnonmics 0.4 with Windows 10. Bundle
> requests via mask are slow as before (see for examble the attached
> scipt).
I see what you mean. Running a slightly cut-down version of your
multi-series request, with mask "DEU+GBR+IAA..Q" and a maximum of 250
series, I'm seeing timings and JSON sizes as follows:
dbnomics 0.4, with metadata: 0m56.569s, 2317360 bytes
dbnomics 0.4, no metadata: 0m55.649s, 2296071 bytes
So cutting out the metadata makes little difference to the time or
size. (Up till now we haven't been setting metadata=0 for this sort
of request -- we missed this case -- but it hardly helps.)
If I invoke the dbnomics v21 API instead, I get this:
time 0m4.886s, size 1905768 bytes
I still have to determine what's taking 10 times as long: dbnomics or
gretl's processing of the data. But at this point my suspicion is that
it's dbnomics.
> And single requests such as
>
> data ECB/IRS/M.IT.L.L40.CI.0000.EUR.N.Z are aborted immediatly with
> error:
> "Keine Datenbank wurde geöffnet"=no databank was opened
I'm not able to replicate that. I tried on Windows 10 today and the
series arrived immediately.
Allin
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