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From "David Smiley (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SOLR-8744) Overseer operations need more fine grained mutual exclusion
Date Tue, 24 May 2016 05:48:12 GMT

     [ https://issues.apache.org/jira/browse/SOLR-8744?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

David Smiley updated SOLR-8744:
-------------------------------
    Attachment: SmileyLockTree.java

Here's SmileyLockTree.java (name is obviously just to not confuse it with your LockTree).
 I ditched the weak values idea as I had doubts on the added complexity.  I changed the impl
a bit from what I had said to make it feel more elegant to me, and I implemented most of JDK
Lock for fun.  After a short discussion with [~dragonsinth] on IRC on the context of this
task, I believe there's no issue of starvation (for SmileyLockTree specifically any way) since
the Overseer runs sequentially so I didn't add the fairness=true option.

> Overseer operations need more fine grained mutual exclusion
> -----------------------------------------------------------
>
>                 Key: SOLR-8744
>                 URL: https://issues.apache.org/jira/browse/SOLR-8744
>             Project: Solr
>          Issue Type: Improvement
>          Components: SolrCloud
>    Affects Versions: 5.4.1
>            Reporter: Scott Blum
>            Assignee: Noble Paul
>              Labels: sharding, solrcloud
>         Attachments: SOLR-8744.patch, SmileyLockTree.java
>
>
> SplitShard creates a mutex over the whole collection, but, in practice, this is a big
scaling problem.  Multiple split shard operations could happen at the time time, as long as
different shards are being split.  In practice, those shards often reside on different machines,
so there's no I/O bottleneck in those cases, just the mutex in Overseer forcing the operations
to be done serially.
> Given that a single split can take many minutes on a large collection, this is a bottleneck
at scale.
> Here is the proposed new design
> There are various Collection operations performed at Overseer. They may need exclusive
access at various levels. Each operation must define the Access level at which the access
is required. Access level is an enum. 
> CLUSTER(0)
> COLLECTION(1)
> SHARD(2)
> REPLICA(3)
> The Overseer node maintains a tree of these locks. The lock tree would look as follows.
The tree can be created lazily as and when tasks come up.
> {code}
> Legend: 
> C1, C2 -> Collections
> S1, S2 -> Shards 
> R1,R2,R3,R4 -> Replicas
>                  Cluster
>                 /       \
>                /         \         
>               C1          C2
>              / \         /   \     
>             /   \       /     \      
>            S1   S2      S1     S2
>         R1, R2  R3.R4  R1,R2   R3,R4
> {code}
> When the overseer receives a message, it tries to acquire the appropriate lock from the
tree. For example, if an operation needs a lock at a Collection level and it needs to operate
on Collection C1, the node C1 and all child nodes of C1 must be free. 
> h2.Lock acquiring logic
> Each operation would start from the root of the tree (Level 0 -> Cluster) and start
moving down depending upon the operation. After it reaches the right node, it checks if all
the children are free from a lock.  If it fails to acquire a lock, it remains in the work
queue. A scheduler thread waits for notification from the current set of tasks . Every task
would do a {{notify()}} on the monitor of  the scheduler thread. The thread would start from
the head of the queue and check all tasks to see if that task is able to acquire the right
lock. If yes, it is executed, if not, the task is left in the work queue.  
> When a new task arrives in the work queue, the schedulerthread wakes and just try to
schedule that task.



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