It doesn't look like the elasticsearch-py API covers the river use case. When I've run into things like this I've always just run a manual CURL request, or if I need to do it from within a script I just do a basic command with requests, ala requests.put("http://localhost:9200/_river/mydocs/_meta" data='{"type": "fs", "fs": { "url": "/tmp", "update_rate": 900000, "includes": "*.doc,*.pdf", "excludes": "resume" }}') Not the most elegant approach, but it works!
On Thursday, March 13, 2014 1:57:55 PM UTC-7, Kent Tenney wrote: > > From the fsriver doc: > > curl -XPUT 'localhost:9200/_river/mydocs/_meta' -d '{ > "type": "fs", > "fs": { > "url": "/tmp", > "update_rate": 900000, > "includes": "*.doc,*.pdf", > "excludes": "resume" > } > }' > > How does this translate to the Python API? > > Thanks, > Kent > -- 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 elasticsearch+unsubscr...@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/elasticsearch/c9d25008-fe3d-43dc-a57f-e8e510f8a3ce%40googlegroups.com. For more options, visit https://groups.google.com/d/optout.