which is at least 10 times slower on my machine** for my index.
Is it because the filtered part will be called after the facets have been
executed?
bigdesk shows enough free RAM
I think I could probably put the filter into every facet via facet_filter to
make it cached and fast,
but is it really that complicated?
Regards,
Peter.
** using jdk1.6.0_26 on ubuntu with elasticsearch 0.19.8
forgot to post the solution here. First, the provided information was not
sufficient, sorry.
We had a combined "and" filter which was causing the slow response.
(A simple term filter is still 2 times faster then the query_string
equivalent)
But the thing with the "and" filter was still strange. And we fixed it. We
just replaced the "and" with a "bool" filter (must). Now 3 times faster!
Why are they so different?
Regards,
Peter.
On Thursday, January 10, 2013 6:21:13 PM UTC+1, Karussell wrote:
Hi,
I just want to apply a filter to the query AND to the facets. When I do:
which is at least 10 times slower on my machine** for my index.
Is it because the filtered part will be called after the facets have been
executed?
bigdesk shows enough free RAM
I think I could probably put the filter into every facet via facet_filter
to make it cached and fast,
but is it really that complicated?
Regards,
Peter.
** using jdk1.6.0_26 on ubuntu with elasticsearch 0.19.8
forgot to post the solution here. First, the provided information was not
sufficient, sorry.
We had a combined "and" filter which was causing the slow response.
(A simple term filter is still 2 times faster then the query_string
equivalent)
But the thing with the "and" filter was still strange. And we fixed it. We
just replaced the "and" with a "bool" filter (must). Now 3 times faster!
Why are they so different?
Regards,
Peter.
On Thursday, January 10, 2013 6:21:13 PM UTC+1, Karussell wrote:
Hi,
I just want to apply a filter to the query AND to the facets. When I do:
which is at least 10 times slower on my machine** for my index.
Is it because the filtered part will be called after the facets have been
executed?
bigdesk shows enough free RAM
I think I could probably put the filter into every facet via facet_filter
to make it cached and fast,
but is it really that complicated?
Regards,
Peter.
** using jdk1.6.0_26 on ubuntu with elasticsearch 0.19.8
thanks! But is there an advantage of the and/or/not filters?
Regards,
Peter.
On Thursday, February 14, 2013 6:21:18 PM UTC+1, Matt Weber wrote:
The boolean filter can use the cached term bitsets and the and/or/not
filters don't.
On Thu, Feb 14, 2013 at 6:52 AM, Karussell <tabley...@gmail.com<javascript:>>
wrote:
Hey,
forgot to post the solution here. First, the provided information was
not
sufficient, sorry.
We had a combined "and" filter which was causing the slow response.
(A simple term filter is still 2 times faster then the query_string
equivalent)
But the thing with the "and" filter was still strange. And we fixed it.
We
just replaced the "and" with a "bool" filter (must). Now 3 times faster!
Why are they so different?
Regards,
Peter.
On Thursday, January 10, 2013 6:21:13 PM UTC+1, Karussell wrote:
Hi,
I just want to apply a filter to the query AND to the facets. When I
do:
which is at least 10 times slower on my machine** for my index.
Is it because the filtered part will be called after the facets have
been
executed?
bigdesk shows enough free RAM
I think I could probably put the filter into every facet via
facet_filter
to make it cached and fast,
but is it really that complicated?
Regards,
Peter.
** using jdk1.6.0_26 on ubuntu with elasticsearch 0.19.8
--
You received this message because you are subscribed to the Google
Groups
"elasticsearch" group.
To unsubscribe from this group and stop receiving emails from it, send
an
email to elasticsearc...@googlegroups.com <javascript:>.
For more options, visit https://groups.google.com/groups/opt_out.
thanks! But is there an advantage of the and/or/not filters?
and/or process doc-by-doc, so they are useful for filters which don't
produce bitsets, especially if they are also heavy filters. For
instance, if you have a geo-distance filter, put it as the last filter
in an and|or clause
Apache, Apache Lucene, Apache Hadoop, Hadoop, HDFS and the yellow elephant
logo are trademarks of the
Apache Software Foundation
in the United States and/or other countries.