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Posted to notifications@couchdb.apache.org by gi...@git.apache.org on 2017/08/03 11:48:36 UTC

[GitHub] sureshsargar opened a new issue #737: CouchDB 2.0 version indexing getting timeout for records more than 1 lakhs records

sureshsargar opened a new issue #737: CouchDB 2.0 version indexing getting timeout for records more than 1 lakhs records
URL: https://github.com/apache/couchdb/issues/737
 
 
   <!--- Provide a general summary of the issue in the Title above -->
   
   ## Expected Behavior
    CouchDB shouldn't timeout if we set  os_process_timeout =5000000 and indexing should built for 1.2 Lakhs  JSON Document within this time.
   
   ## Current Behavior
   CouchDB indexing get timeout while accessing  using Java API ,where as same error message we could see on fauxton Web console also.
   
   Error on Fauxton as well Java Exception:
   {"error":"timeout","reason":"The request could not be processed in a reasonable amount of time."}
   
   ## Possible Solution
    solution is if we specified timeout parameter it should consider before getting timeout. whereas observation is it's not considering this parameter value.
   
   ## Steps to Reproduce (for bugs)
   
   Load 1.2 records and create multiple views(5-6) under one design document  with emiting timestamp as key and required attribute as value. Indexing will start and it will timeout.
   
   e.g 
   emit(doc.meta.lastUpdated, {_id:doc._id,_rev:doc._rev,PatientID:PatientID,status:doc.status,priority:doc.priority,description:doc.description,start:doc.start,end:doc.end,minutesDuration:doc.minutesDuration,created:doc.created,comment:doc.comment});
   
   ## Context
   we are trying to fetch couch data based on Document type  and processing for our use case. plan is will move maching records into DataLake (Relational DB)  and then built datamart out of it.
   
   ## Your Environment
   <!--- Include as many relevant details about the environment you experienced the bug in -->
   * Couch 2.0
   * Chrome
   * Ubuntu 16.04 /Windows 10.
   * Link to your project:
   
 
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