I have following facet query which is working fine. However as you can see I need from_usa as one more parameter, I have a country column and it needs to be conditional. Would that be possible ? I cant not use fq filters in this case.
{
"facet":{
"total_game_plays" : "count",
"unique_game_players" : "unique(uuid)",
"total_play_time":"sum(play_time)",
//"from_usa": "unique(where country=US)"
}
}
I assume you're using the JSON facet API from the syntax you've provioded, so a JSON facet query should do what you want:
"from_usa": {
"type": "query",
"q": "country:US"
}
Related
Hi we have a solr index with diff fields in it like business,businessType, regionName, StateName, .....
Now I need a solr query to get the number of business of type businessType ='event' group by regionName.
if I want to write a sql query for this it would be select region_name , Count(business) from solr where businessType='event' group by region_name
Any pointer would be helpful
I finally figured out how to do this. Note, if you need to query on a field with a space or a special character, you need to put the search term in quotes, e.g. businessType:"(fun) event".
curl http://localhost:8983/solr/yourCollection/query -d
{ "query"="*:*",
"fq"="businessType:event",
"rows"=0,
"json.facet"= { "category" : {
"type": "terms",
"field" : "region_name",
"limit" : -1 }}
}
One more Note: if you want to count over 2 fields, you have to do a nested facet.
curl http://localhost:8983/solr/yourCollection/query -d
{ "query"="*:*",
"fq"="businessType:event",
"rows"=0,
"json.facet"= { "category1" : {
"type": "terms",
"field" : "regionName",
"limit" : -1,
"facet" : { "category2" : {
"type": "terms",
"field" : "stateName",
"limit" : -1
}}}}
}
Add another facet chunk after the "limit":-1 item if you need to group by a third dimension. I tried this on my company's Solr and it hung, never returning anything but a timeout error. In general, working with Solr isn't very easy... and the documentation, IMO, is pretty terrible. And absolutely nothing about the syntax or names of the commands seem intuitive at all...
Use facets. Your solr query will look like, q=:&fq=businessType:event&facet=true&facet.field=region_name&rows=0
if want to group by on multiple fields then we need to do facet.pivot=state,region_name
Need some advise.
I have indexed documents in elasticsearch, now i want to search all results with one certain field value with all related document, like following if i search for reportId=12345, the results will have several documents related, how can i use one api to get results with not unique on certain field
POST myindex/type/_search
{
"query": {
"match": {
"reportId": "12345"
}
}
}
I am new to Solr and I would like to boost my results with a contextual parameter.
For example, in a simple case, admit my documents are :
{
"id": "1",
"list":[]
}
{
"id": "2",
"list": ["3"]
}
...
If I have a query like for example :
http://localhost:8983/solr/MyCore/select?q=*:*&contextParam=3
I would like to boost all documents which list contains the contextParam.
I already use the edismax parser to boost documents on other fields like dates but right now I can't access this optional parameter.
Thank you !
I created a JSON index in cloudant on _id like so:
{
"index": {
"fields": [ "_id"]
},
"ddoc": "mydesigndoc",
"type": "json",
"name": "myindex"
}
First off, unless I specified the index name, somehow cloudant could not differentiate between the index I created and the default text based index for _id (if that is truly the case, then this is a bug I believe)
I ran the following query against the _find endpoint of my db:
{
"selector": {
"_id": {
"$nin":["v1","v2"]
}
},
"fields":["_id", "field1", "field2"],
"use_index": "mydesigndoc/myindex"
}
The result was this error:
{"error":"no_usable_index","reason":"There is no index available for this selector."}
if I change "$nin":["v1","v2"] to "$eq":"v1" then it works fine, but that is not the query I am after.
So in order to get what I want, I had to this to my selector "_id": {"$gt":null}, which now looks like:
{
"selector": {
"_id": {
"$nin":["v1","v2"],
"$gt":null
}
},
"fields":["_id", "field1", "field2"],
"use_index": "mydesigndoc/myindex"
}
Why is this behavior? This seems to be only happening if I use the _id field in the selector.
What are the ramifications of adding "_id": {"$gt":null} to my selector? Is this going to scan the entire table rather than use the index?
I would appreciate any help, thank you
Cloudant Query can use Cloudant's pre-existing primary index for selection and range querying without you having to create your own index in the _id field.
Unfortunately, the index doesn't really help when using the $nin operator - Cloudant would have to scan the entire database to check for documents which are not in your list - the index doesn't really get it any further forward.
By changing the operator to $eq you are playing to the strengths of the index which can be used to locate the record you need quickly and efficiently.
In short, the query you are attempting is inefficient. If your query was more complex e.g. the equivalent of WHERE colour='red' AND _id NOT IN ['a','b'] then a Cloudant index on colour could be used to reduce the data set to a reasonable level before doing the $nin operation on the remaining data.
I was wondering if it is possible to sort by the order that you request documents from SOLR. I am running a In based query and would just like SOLR to return them based on the order that I ask.
In (4,2,3,1) should return me documents ordered 4,2,3,1.
Thanks.
You need Sorting in solr, to order them by field.
I assume that "In based query" means something like: fetch docs whose fieldx has values in (val1,val2). You can a field as multi-valued field and facet on that field. A facet query is a 'is in' search, out of the box (so to say) and it can do more sophisticated searches too.
Edited on OP's query:
Updating a document with a multi-valued field in JSON here. See the line
"my_multivalued_field": [ "aaa", "bbb" ] /* use an array for a multi-valued field */
As for doing a facet query, check this.
You need to do one or more fq statements:
&fq=field1:[400 to 500]
&fq=field2:johnson,thompson
Also do read up on the fact (in link above) that you need to facet on stored rather than indexed fields.
You can easily apply sorting with QueryOptions and field sort (ExtraParams property - I am sorting by savedate field, descending):
var results = _solr.Query(textQuery,
new QueryOptions
{
Highlight = new HighlightingParameters
{
Fields = new[] { "*" },
},
ExtraParams = new Dictionary<string, string>
{
{"fq", dateQuery},
{"sort", "savedate desc"}
}
});