Can one perform the following query using wildcards ( instead of two
distinct phrases ) when using a Query String Query?
photographic film OR photographic films
These do not seem to work, and return the same number of results as just
photographic
film:
photographic film?
photographic film*
I'm using the a Query String Query to perform a Proximity Search.
I'm wondering if ( and if yes how ) I can nest a phrase within the overall
phrase:
wood glue manufacturer~5 ( where wood glue would be kept as a phrase )
My users have access to a Query String Query box and I'm exploring more
I'm trying to scale my indexing for the first time, and I'm running into
connections problems. I reach a scale where cURL connections from my
indexers start getting cURL7 errors ( connect failed ). It looks like ES
just stops accepting all HTTP connections for a period of time. I cannot
I have an index with parent documents ( Companies ), that have children (
Files ). Each Company can have hundreds of Files. Companies and Files
both have many fields.
The search I'm trying to perform is the Company that best matches based on
it's own fields and the fields of it's children (
if
need be.
On Friday, May 9, 2014 9:10:19 AM UTC-7, Brian Jones wrote:
I have an index with parent documents ( Companies ), that have children (
Files ). Each Company can have hundreds of Files. Companies and Files
both have many fields.
The search I'm trying to perform is the Company
Are there any gotchas I should be aware of when creating a document that
could contain thousands of pages of text ( a Company and thousands of
nested Files ) in addition to dozens/hundreds of fields?
On Friday, May 9, 2014 9:54:40 AM UTC-7, Brian Jones wrote:
It seems like nesting the Files
I'm not using the Service Wrapper for Elasticsearch.
I specify the ES_HEAP_SIZE when I start Elasticsearch like this:
ES_HEAP_SIZE=4g /usr/local/elasticsearch/bin/elasticsearch
Is there a place I can set this so it does not need to be specified on
launch?
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On Wed, Dec 18, 2013 at 10:51 PM, Brian Jones tbria...@gmail.comjavascript:
wrote:
I'm using the Terms Facet with Elasticsearch V0.20.2. The server has 8 x
Intel Xeon E5-2680 v2 processors and 15GB of memory