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Posted to issues@solr.apache.org by "Torsten Bøgh Köster (Jira)" <ji...@apache.org> on 2022/11/01 14:16:00 UTC

[jira] [Updated] (SOLR-16515) Remove synchronized access to cachedOrdMaps in SlowCompositeReaderWrapper

     [ https://issues.apache.org/jira/browse/SOLR-16515?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Torsten Bøgh Köster updated SOLR-16515:
---------------------------------------
    Description: 
The  {{SlowCompositeReaderWrapper}}  uses synchronized read and write access to its internal  {{cachedOrdMaps}} . By using a  {{ConcurrentHashMap}}  instead of a  {{LinkedHashMap}}  as the  underlying  {{cachedOrdMaps}}  implementation and the  {{ConcurrentHashMap#computeIfAbsent}}  method to compute cache values, we were able to reduce locking contention significantly.

h3. Background

Under heavy load we discovered that application halts inside of Solr are becoming a serious problem in high traffic environments. Using Java Flight Recordings we discovered high accumulated applications halts on the  {{cachedOrdMaps}}  in  {{SlowCompositeReaderWrapper}} . Without this fix we were able to utilize our machines only up to 25% cpu usage. With the fix applied, a utilization up to 80% is perfectly doable.

h3. Description

Our Solr instances utilizes the  {{collapse}}  component heavily. The instances run with 32 cores and 32gb Java heap on a rather small index (4gb). The instances scale out at 50% cpu load. We take Java Flight Recorder snapshots of 60 seconds
as soon the cpu usage exceeds 50%.

 !slow-composite-reader-wrapper-before.jpg|height=1024px! 

During our 60s Java Flight Recorder snapshot, the ~2k Jetty threads accumulated more than 16h locking time inside the  {{SlowCompositeReaderWrapper}}  (see screenshot). With this fix applied, the locking access is reduced to cache write accesses only. We validated this using another JFR snapshot:

 !slow-composite-reader-wrapper-after.jpg|height=1024px! 

h3. Solution

We propose the following improvement inside the  {{SlowCompositeReaderWrapper}}  removing blocking  {{synchronized}}  access to the internal  {{cachedOrdMaps}} . The implementation keeps the semantics of the  {{getSortedDocValues}}  and  {{getSortedSetDocValues}}  methods but moves the expensive part of  {{OrdinalMap#build}}  into a producer. We use the producer to access the  {{ConcurrentHashMap}}  using the  {{ConcurrentHashMap#computeIfAbsent}}  method only.
The current implementation uses the  {{synchronized}}  block not only to lock access to the  {{cachedOrdMaps}}  but also to protect the critical section between getting, building and putting the  {{OrdinalMap}}  into the cache. Inside the critical section the decision is formed, whether a cacheable value should be composed and added to the cache. 
To support non-blocking read access to the cache, we move the building part of the critical section into a producer  {{Function}} . The check whether we have a cacheable value is made upfront. To properly make that decision we had to take logic from  {{MultiDocValues#getSortedSetValues}}  and  {{MultiDocValues#getSortedValues}}  (the  {{SlowCompositeReaderWrapper}}  already contained duplicated code from those methods).

h3. Summary

This change removes most blocking access inside the  {{SlowCompositeReaderWrapper}}  and despite it&#39;s name it&#39;s now capable of a much higher request throughput.
This change has been composed together by Dennis Berger, Torsten Bøgh Köster and Marco Petris.

  was:
The  {{SlowCompositeReaderWrapper}}  uses synchronized read and write access to its internal  {{cachedOrdMaps}} . By using a  {{ConcurrentHashMap}}  instead of a  {{LinkedHashMap}}  as the  underlying  {{cachedOrdMaps}}  implementation and the  {{ConcurrentHashMap#computeIfAbsent}}  method to compute cache values, we were able to reduce locking contention significantly.

h3. Background

Under heavy load we discovered that application halts inside of Solr are becoming a serious problem in high traffic environments. Using Java Flight Recordings we discovered high accumulated applications halts on the  {{cachedOrdMaps}}  in  {{SlowCompositeReaderWrapper}} . Without this fix we were able to utilize our machines only up to 25% cpu usage. With the fix applied, a utilization up to 80% is perfectly doable.

h3. Description

Our Solr instances utilizes the  {{collapse}}  component heavily. The instances run with 32 cores and 32gb Java heap on a rather small index (4gb). The instances scale out at 50% cpu load. We take Java Flight Recorder snapshots of 60 seconds
as soon the cpu usage exceeds 50%.

 !slow-composite-reader-wrapper-before.jpg! 

During our 60s Java Flight Recorder snapshot, the ~2k Jetty threads accumulated more than 16h locking time inside the  {{SlowCompositeReaderWrapper}}  (see screenshot). With this fix applied, the locking access is reduced to cache write accesses only. We validated this using another JFR snapshot:

 !slow-composite-reader-wrapper-after.jpg! 

h3. Solution

We propose the following improvement inside the  {{SlowCompositeReaderWrapper}}  removing blocking  {{synchronized}}  access to the internal  {{cachedOrdMaps}} . The implementation keeps the semantics of the  {{getSortedDocValues}}  and  {{getSortedSetDocValues}}  methods but moves the expensive part of  {{OrdinalMap#build}}  into a producer. We use the producer to access the  {{ConcurrentHashMap}}  using the  {{ConcurrentHashMap#computeIfAbsent}}  method only.
The current implementation uses the  {{synchronized}}  block not only to lock access to the  {{cachedOrdMaps}}  but also to protect the critical section between getting, building and putting the  {{OrdinalMap}}  into the cache. Inside the critical section the decision is formed, whether a cacheable value should be composed and added to the cache. 
To support non-blocking read access to the cache, we move the building part of the critical section into a producer  {{Function}} . The check whether we have a cacheable value is made upfront. To properly make that decision we had to take logic from  {{MultiDocValues#getSortedSetValues}}  and  {{MultiDocValues#getSortedValues}}  (the  {{SlowCompositeReaderWrapper}}  already contained duplicated code from those methods).

h3. Summary

This change removes most blocking access inside the  {{SlowCompositeReaderWrapper}}  and despite it&#39;s name it&#39;s now capable of a much higher request throughput.
This change has been composed together by Dennis Berger, Torsten Bøgh Köster and Marco Petris.


> Remove synchronized access to cachedOrdMaps in SlowCompositeReaderWrapper
> -------------------------------------------------------------------------
>
>                 Key: SOLR-16515
>                 URL: https://issues.apache.org/jira/browse/SOLR-16515
>             Project: Solr
>          Issue Type: Improvement
>      Security Level: Public(Default Security Level. Issues are Public) 
>          Components: search
>    Affects Versions: 9.0, 8.11.2
>            Reporter: Torsten Bøgh Köster
>            Priority: Major
>         Attachments: slow-composite-reader-wrapper-after.jpg, slow-composite-reader-wrapper-before.jpg
>
>
> The  {{SlowCompositeReaderWrapper}}  uses synchronized read and write access to its internal  {{cachedOrdMaps}} . By using a  {{ConcurrentHashMap}}  instead of a  {{LinkedHashMap}}  as the  underlying  {{cachedOrdMaps}}  implementation and the  {{ConcurrentHashMap#computeIfAbsent}}  method to compute cache values, we were able to reduce locking contention significantly.
> h3. Background
> Under heavy load we discovered that application halts inside of Solr are becoming a serious problem in high traffic environments. Using Java Flight Recordings we discovered high accumulated applications halts on the  {{cachedOrdMaps}}  in  {{SlowCompositeReaderWrapper}} . Without this fix we were able to utilize our machines only up to 25% cpu usage. With the fix applied, a utilization up to 80% is perfectly doable.
> h3. Description
> Our Solr instances utilizes the  {{collapse}}  component heavily. The instances run with 32 cores and 32gb Java heap on a rather small index (4gb). The instances scale out at 50% cpu load. We take Java Flight Recorder snapshots of 60 seconds
> as soon the cpu usage exceeds 50%.
>  !slow-composite-reader-wrapper-before.jpg|height=1024px! 
> During our 60s Java Flight Recorder snapshot, the ~2k Jetty threads accumulated more than 16h locking time inside the  {{SlowCompositeReaderWrapper}}  (see screenshot). With this fix applied, the locking access is reduced to cache write accesses only. We validated this using another JFR snapshot:
>  !slow-composite-reader-wrapper-after.jpg|height=1024px! 
> h3. Solution
> We propose the following improvement inside the  {{SlowCompositeReaderWrapper}}  removing blocking  {{synchronized}}  access to the internal  {{cachedOrdMaps}} . The implementation keeps the semantics of the  {{getSortedDocValues}}  and  {{getSortedSetDocValues}}  methods but moves the expensive part of  {{OrdinalMap#build}}  into a producer. We use the producer to access the  {{ConcurrentHashMap}}  using the  {{ConcurrentHashMap#computeIfAbsent}}  method only.
> The current implementation uses the  {{synchronized}}  block not only to lock access to the  {{cachedOrdMaps}}  but also to protect the critical section between getting, building and putting the  {{OrdinalMap}}  into the cache. Inside the critical section the decision is formed, whether a cacheable value should be composed and added to the cache. 
> To support non-blocking read access to the cache, we move the building part of the critical section into a producer  {{Function}} . The check whether we have a cacheable value is made upfront. To properly make that decision we had to take logic from  {{MultiDocValues#getSortedSetValues}}  and  {{MultiDocValues#getSortedValues}}  (the  {{SlowCompositeReaderWrapper}}  already contained duplicated code from those methods).
> h3. Summary
> This change removes most blocking access inside the  {{SlowCompositeReaderWrapper}}  and despite it&#39;s name it&#39;s now capable of a much higher request throughput.
> This change has been composed together by Dennis Berger, Torsten Bøgh Köster and Marco Petris.



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