Thanks! Are there any good examples I can look at?
In some cases it's the nested document in other cases it's within the same
document. Something like:
In below example I want to search for form.id = 1040 and name = age and
value = 20 and return only doc1. Does this also fall under "cross matching"
solution that you described?
doc1:
{
form: { id: 1040 }
attrib: {
name: age
value: 20
}
}
doc 2:
{
form: { id: 1040 }
attrib: {
name: age
value: 22
}
}
On Mon, May 21, 2012 at 3:24 PM, Mark Harwood <markharw...@yahoo.co.uk>wrote:
> You're describing what I call the "cross matching" problem if you flatten
> nested, repeating structures with multiple fields into a single flat Lucene
> document model.
> The approach for handling the more complex mappings is to use nested child
> docs in Lucene and for that look at BlockJoinQuery.
>
> However, in this particular case it just might be possible to safely
> collapse your Json doc into a single Lucene doc if the value for "
> fields.id" (e.g. L31A) was used as the Lucene field name on a single
> document and the related "value" field was the Lucene field's contents.
> Of course you can only go so far with this sort of flattening approach
> before cross-matching becomes an issue.
>
>
> Cheers
> Mark
>
> On 21 May 2012, at 19:36, Mohit Anchlia wrote:
>
> > I am new to search and just went through some concepts of "Lucene in
> > Action". I have few questions:
> >
> > Problem I am having is this. Say I have these json docs for eg. Now I
> want
> > to query forms.id = 40 and fields.id = L31A and fields.value = 3000. I
> > expect it to return doc 1. But with the regular search I'll also get doc
> 2.
> > What's the best way of designing search for such queries?
> >
> > Json doc 1
> > {
> > "fileName":"filename",
> > "createdDate":"05/20/12 16:21:56",
> > "setModel":[
> > {
> > "id":"1",
> > "compliance":false,
> > "forms":[
> > {
> > "id":"40",
> > "copy":null,
> > "tpsId":null,
> > "forms":[
> > {
> > "id":"F40_SW_2",
> > "copy":null,
> > "tpsId":"1[]/F40[]",
> > "forms":[
> > ],
> > "tables":[
> > ],
> > "fields":[
> > {
> > "id":"L31A",
> > "security":null,
> > "value":"3000."
> > },
> > {
> > "id":"MRSSN1",
> > "security":null,
> > "value":"656465464"
> > }
> > ]
> > }
> > ]
> > }
> > }
> >
> >
> > Json doc 2
> > {
> > "fileName":"filename",
> > "createdDate":"05/20/12 16:21:56",
> > "setModel":[
> > {
> > "id":"1",
> > "compliance":false,
> > "forms":[
> > {
> > "id":"50",
> > "copy":null,
> > "tpsId":null,
> > "forms":[
> > {
> > "id":"F50_SW_2",
> > "copy":null,
> > "tpsId":"1[]/F50[]",
> > "forms":[
> > ],
> > "tables":[
> > ],
> > "fields":[
> > {
> > "id":"L31A",
> > "security":null,
> > "value":"3000."
> > },
> > {
> > "id":"MRSSN1",
> > "security":null,
> > "value":"656465464"
> > }
> > ]
> > }
> > ]
> > }
>
>
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