Hi all,
I am new to this group and happy to join:)
the problem in one sentence:
to read from multiple cores (archive and active ones), write only to the
latest active core
using Solr and Haystack
I am designing a periodic indexing system, one core per months, of which
always the last two indexes are used to search on, and always the last one
is the active one for current indexing.
We are using Haystack to manage the communications with Solr.
We can use multiple cores in the settings.py in Haystack, that is totally
fine.
For example is I change the setting like:
HAYSTACK_CONNECTIONS = {
'default': {
'ENGINE': 'haystack.backends.solr_backend.SolrEngine',
'URL': 'http://127.0.0.1:8983/solr/core_Feb',
'URL': 'http://127.0.0.1:8983/solr/core_Jan',
},
}
but the problem is that only the last core is loaded. I know that we can
use the "using" keyword in the code to read from e.g. "core_Feb" or
"core_Jan",
but I want a distributed search over these 2 or more cores and update only
the last one.
So as I read I came to the point of using sharding/distributed search in
Solr.
But I did not find any support from Haystack for this issue.
Is there anything there that I have missed?
Best,
Serwah
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