[jira] [Created] (PHOENIX-2995) Write performance severely degrades with large number of views

["Mujtaba Chohan (JIRA)" <ji...@apache.org>]

Mujtaba Chohan created PHOENIX-2995:
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             Summary: Write performance severely degrades with large number of views 
                 Key: PHOENIX-2995
                 URL: https://issues.apache.org/jira/browse/PHOENIX-2995
             Project: Phoenix
          Issue Type: Bug
            Reporter: Mujtaba Chohan


Write performance for each 1K batch degrades significantly when there are *10K* views being written in random with default {{phoenix.client.maxMetaDataCacheSize}}. With all views created, upsert rate remains around 25 seconds per 1K batch i.e. ~2K rows/min upsert rate. 

When {{phoenix.client.maxMetaDataCacheSize}} is increased to 100MB+ then view does not need to get re-resolved and upsert rate gets back to normal ~60K rows/min.

With *100K* views and {{phoenix.client.maxMetaDataCacheSize}} set to 1GB, I wasn't able create all 100K views as upsert time for each 1K batch keeps on steadily increasing. 

Following graph shows 1K batch upsert rate over time with variation of number of views. Rows are upserted to random views {{CREATE VIEW IF NOT EXISTS ... APPEND_ONLY_SCHEMA = true, UPDATE_CACHE_FREQUENCY=900000}} is executed before upsert statement.


Base table is also created with {{APPEND_ONLY_SCHEMA = true, UPDATE_CACHE_FREQUENCY = 900000, AUTO_PARTITION_SEQ}}



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