Thanks Alex. What do you mean by "not all parent documents (and not the data), just their ids" what decides what which parent document ids get loaded? Also, this ids that get loaded are per query or they stay around longer? I ask because in our use case we're going to keep adding more and more parents and children.
On Jun 20, 2014, at 12:04 AM, Alexander Reelsen alr@spinscale.de wrote:
Hey,
not all parent documents (and not the data), just their ids. Still this can accumulate, which is the reason why you should monitor the size of that data structure (exposed in the nodes stats).
Hope that helps.
--Alex
On Thu, Jun 19, 2014 at 6:03 AM, Drew Kutcharian drew@venarc.com wrote:
Based on the official docs (Elasticsearch Platform — Find real-time answers at scale | Elastic):
{quote}
memory considerations
With the current implementation, all _parent field values and all _id field values of parent documents are loaded into memory (heap) via field data in order to support fast lookups, so make sure there is enough memory for it.
{/quote}
Does this mean that all the parent docs will be loaded into memory or the ones matching the filter? If the former is true, then it would mean that one should keep the size of the parent objects to minimum, right? In addition, say has_child is a part of a conjunction (regular filter AND has_child), would ES still load all the parent docs, or only the ones that matched the first filter?
Thanks,
Drew
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