After looking at this again, I think the real problem is that fact that I'm
using map reduce. The Riak java client does not support simple search but
only search map reduce. At this point, I think the only good way to really
use Riak search from Java is to use a solr client and point it to the Riak
Ok, I'm not exactly sure what will be most helpful to you, but I am
attaching an example of a Key/Value.
What you see in the file, we would have thousands of those. Probably would
get to at least a million or so KV's like that.
The bucket is search enabled, so all those JSON fields are going to b
Roger,
Riak Search has a hardcoded max result set size of 100K items. It enforces
this to prevent blowing out memory and causing other issues. Riak Search
definitely has some issues when it comes to handling a use case like yours.
That said, our new Search solution in 2.0 (code named Yokozuna) sh
Hi Roger,
Sorry, meant to reply to the mailing list, but accidentally replied
directly to you.
Before I can say whether or not secondary indexes are suitable, I need to
know more about your data, access patterns and query patterns.
Can you share this information with me here? What kind of data
I could dig up all our nitty gritty Riak details but I don't think that
will help really.
The point I think is this: Using search map reduce is not a viable way to
do real time search queries. Especially ones that may have 2000+ plus
results each. Couple that with search requests coming in every f
More info please...
Version
Current config
Hardware
Data size
Search Schema
Etc.
But I would probably say that your search is returning too many keys to your
mr. More inline.
@siculars
http://siculars.posthaven.com
Sent from my iRotaryPhone
> On Nov 18, 2013, at 13:59, Roger Diller wrote:
Using the Riak Java client, I am executing a search map reduce like this:
MapReduceResult result = riakClient.mapReduce(SEARCH_BUCKET,
search).execute();
String search = "systemId:" + systemName + " AND indexId:" + indexId;
MapReduceResult result = riakClient.mapReduce(SEARCH_BUCKET,
search).exe
Using the Riak Java client, I am executing a search map reduce like this:
MapReduceResult result = riakClient.mapReduce(SEARCH_BUCKET,
search).execute();
String search = "systemId:" + systemName + " AND indexId:" + indexId;
MapReduceResult result = riakClient.mapReduce(SEARCH_BUCKET,
search).exe
