# Advice about mapping
**URL:** https://discuss.elastic.co/t/advice-about-mapping/8235
**Category:** Elasticsearch
**Created:** [June 27, 2012, 12:21am UTC](https://discuss.elastic.co/t/advice-about-mapping/8235 "2012-06-27T00:21:47Z")
**Posts on this page:** 4
**Page:** 1
### Author:  [@polyfractal](https://discuss.elastic.co/u/polyfractal)
#### Post date: [June 27, 2012, 12:21am UTC](https://discuss.elastic.co/t/advice-about-mapping/8235/1 "2012-06-27T00:21:47Z")
Hi everyone. I'm relatively new to ElasticSearch (and Lucene in general),
but picking it up fairly quickly. It's a lovely piece of software!
I was curious if I could get some advice about mapping "best practices" for
general search. I am searching an index of product names for matching or
similar products. The mapping that I have on the index is fairly basic:
>
Effectively, I'm doing basic tokenization and then either phrase matching
or matching term nGrams. I am boosting full phrase matches because that
seems to give the best relevance when people know exactly what they are
searching for, while the low-weighted nGrams help for non-match phrases.
Is there anything that I'm doing sub-optimally or something I should add?
Is it silly to have all three nGrams - front, back and middle? This
search is exclusively for products, so there are a lot of strange queries
("3C 2200mAh Nanotech"). Unfortunately, a lot of those small terms ("3C")
are very important so I have to make sure they aren't filtered out.
Thanks! Any help would be greatly appreciated!
-Zach
---
### Author:  [@Runar\_Myklebust\_2](https://discuss.elastic.co/u/Runar_Myklebust_2)
#### Post date: [June 29, 2012, 12:35pm UTC](https://discuss.elastic.co/t/advice-about-mapping/8235/2 "2012-06-29T12:35:23Z")
I think - based on the assumption that the [comparerc.com](http://comparerc.com) site based on
this, that you should lowercase index and search. No hits for e.g "wheel"
๐
## greetings
Runar Myklebust
Enonic AS
An Open Source Company [www.enonic.com/download](http://www.enonic.com/download)
On Wed, Jun 27, 2012 at 2:21 AM, Zachary Tong [zacharyjtong@gmail.com](mailto:zacharyjtong@gmail.com)wrote:
> Hi everyone. I'm relatively new to Elasticsearch (and Lucene in general),
> but picking it up fairly quickly. It's a lovely piece of software!
>
> I was curious if I could get some advice about mapping "best practices"
> for general search. I am searching an index of product names for matching
> or similar products. The mapping that I have on the index is fairly basic:
>
> [ElasticSearch Mapping ยท GitHub](https://gist.github.com/bce8e9ce47a96a24e693)
>
> Effectively, I'm doing basic tokenization and then either phrase matching
> or matching term nGrams. I am boosting full phrase matches because that
> seems to give the best relevance when people know exactly what they are
> searching for, while the low-weighted nGrams help for non-match phrases.
>
> Is there anything that I'm doing sub-optimally or something I should add?
> Is it silly to have all three nGrams - front, back and middle? This
> search is exclusively for products, so there are a lot of strange queries
> ("3C 2200mAh Nanotech"). Unfortunately, a lot of those small terms ("3C")
> are very important so I have to make sure they aren't filtered out.
>
> Thanks! Any help would be greatly appreciated!
> -Zach
---
### Author:  [@polyfractal](https://discuss.elastic.co/u/polyfractal)
#### Post date: [June 30, 2012, 12:31pm UTC](https://discuss.elastic.co/t/advice-about-mapping/8235/3 "2012-06-30T12:31:27Z")
Hehe, that is indeed my site. How'd you find it?
In any case, my analyzers _are_ lowercasing. If you look at the mapping
I'm performing ["standard", "lowercase", "asciifolding"] on all the
indexed product names.
I'm also retrieving search results for "wheel"...what browser are you
using? It may just be a problem with my javascript, unrelated to
Elasticsearch.
-Zach
On Friday, June 29, 2012 8:35:23 AM UTC-4, Runar Myklebust wrote:
> I think - based on the assumption that the [comparerc.com](http://comparerc.com) site based on
> this, that you should lowercase index and search. No hits for e.g "wheel"
> ๐
>
> ## greetings
>
> Runar Myklebust
>
> Enonic AS
>
> An Open Source Company [www.enonic.com/download](http://www.enonic.com/download)
>
> On Wed, Jun 27, 2012 at 2:21 AM, Zachary Tong [zacharyjtong@gmail.com](mailto:zacharyjtong@gmail.com)wrote:
>
> > Hi everyone. I'm relatively new to Elasticsearch (and Lucene in
> > general), but picking it up fairly quickly. It's a lovely piece of
> > software!
> >
> > I was curious if I could get some advice about mapping "best practices"
> > for general search. I am searching an index of product names for matching
> > or similar products. The mapping that I have on the index is fairly basic:
> >
> > [ElasticSearch Mapping ยท GitHub](https://gist.github.com/bce8e9ce47a96a24e693)
> >
> > Effectively, I'm doing basic tokenization and then either phrase matching
> > or matching term nGrams. I am boosting full phrase matches because that
> > seems to give the best relevance when people know exactly what they are
> > searching for, while the low-weighted nGrams help for non-match phrases.
> >
> > Is there anything that I'm doing sub-optimally or something I should add?
> > Is it silly to have all three nGrams - front, back and middle? This
> > search is exclusively for products, so there are a lot of strange queries
> > ("3C 2200mAh Nanotech"). Unfortunately, a lot of those small terms ("3C")
> > are very important so I have to make sure they aren't filtered out.
> >
> > Thanks! Any help would be greatly appreciated!
> > -Zach
---
### Author:  [@system](https://discuss.elastic.co/u/system)
#### Post date: [July 6, 2017, 3:21am UTC](https://discuss.elastic.co/t/advice-about-mapping/8235/4 "2017-07-06T03:21:56Z")