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https://issues.apache.org/jira/browse/PHOENIX-2995?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15422135#comment-15422135
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James Taylor commented on PHOENIX-2995:
---------------------------------------

Actually, I think there may be some missing read locks on the get methods for 
PMetaData calls in ConnectionQueryServices. All calls to size, getTableRef, 
getFunction, getAge, and getSchema must be done under a read lock. If this is 
too messy, you might create a PSynchronizedMetaData that takes the lock and 
delegates to another PMetaData instance. We'd still need the existing 
synchronization on latestMetaDataLock as it serves a different purpose (to 
ensure we process the server calls in order of the sequence number).

> 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
>            Assignee: Thomas D'Silva
>              Labels: Argus
>             Fix For: 4.8.1
>
>         Attachments: PHOENIX-2995-v2.patch, PHOENIX-2995-v3.patch, 
> PHOENIX-2995-v4.patch, PHOENIX-2995-v5.patch, PHOENIX-2995.patch, 
> create_view_and_upsert.png, image.png, image2.png, image3.png, upsert_rate.png
>
>
> 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.
> !upsert_rate.png!
> Base table is also created with {{APPEND_ONLY_SCHEMA = true, 
> UPDATE_CACHE_FREQUENCY = 900000, AUTO_PARTITION_SEQ}}



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