I know from the FAST Search engine ten years ago there was a two-phase
commit for distributed search and indexing. One server could listen on the
API and keep the (compressed) input stored, and all the other indexing
servers were supplied by this input in another phase to create binary
indexes, either automatically, or by manual operation, called
"suspend/resume indexing API".
The advantage was that data could be received permanently via API while
FAST indexing could be stopped temporarily in order to balance between
indexing and search performance on limited hardware.
Do you think of something like that also for Elasticsearch? This
architecture is possible to implement by a plugin.
Jörg
On Mon, Nov 10, 2014 at 10:13 PM, Amish Asthana asthanaamish@gmail.com
wrote:
Hi
Is there a way we can decouple data and associated mapping/indexing in
Elasticsearch itself.
Basically store the raw data as source( json or some other format) and
various mapping/index can be used on top of that.
I understand that one can use an outside database or file system, but can
it be natively achieved in ES itself.Basically we are trying to see how our ES instance will work when we have
to change mapping of existing and continuously incoming data without any
downtime for the end user.
We have an added wrinkle that our indexing has to be edit aware for
versioning purpose; unlike ES where each edit is a new record.
regards and thanks
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