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From "John Phillips (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (PHOENIX-5239) Send persistent subquery cache to all regionservers
Date Thu, 16 May 2019 17:18:00 GMT

    [ https://issues.apache.org/jira/browse/PHOENIX-5239?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16841553#comment-16841553
] 

John Phillips commented on PHOENIX-5239:
----------------------------------------

[~elserj] Apologies for the late response, but thanks for all the input here. For this shorter
term solution I just updated the PR with a new opt-in \{{PERSISTENT_CACHE_ON_ALL_SERVERS}}
hint to enable the behavior for an individual query.

And yea, for a longer term solution, we were considering doing more robust caching inside
redis (as it also prevents a cache rebuild on evictions or restarting a RS). However, that's
a much larger effort, and could be a while before we get around to that.

> Send persistent subquery cache to all regionservers
> ---------------------------------------------------
>
>                 Key: PHOENIX-5239
>                 URL: https://issues.apache.org/jira/browse/PHOENIX-5239
>             Project: Phoenix
>          Issue Type: Improvement
>            Reporter: John Phillips
>            Priority: Major
>          Time Spent: 0.5h
>  Remaining Estimate: 0h
>
> PHOENIX-4666 introduced a persistent subquery cache that allowed phoenix to cache the
results from an expensive subquery (enabled with a {{USE_PERSISTENT_CACHE}} query hint) to
speed up subsequent queries.
> More context is available on the PHOENIX-4666 ticket, but a quick example would be a
query like:
> {code:java}
> SELECT /*+ USE_PERSISTENT_CACHE */ *
>     FROM table1
>     JOIN (SELECT id_1 FROM large_table WHERE x = 10) expensive_result
>     ON table1.id_1 = expensive_result.id_2
> WHERE table1.id_1 = [some_id]
> {code}
> Where lots of queries are ran, differing only by {{some_id}}. Our usage involves first
running one query over phoenix to warm the cache (which takes ~20 seconds), then once complete,
allowing the live query to run which utilize the persistent subquery cache (~100ms).
> However, we noticed that when phoenix sends the cache to the regionservers, it looks
at {{some_id}} in the outer query to figure out which regionservers might contain {{table1.id_1
= [some_id]}} ([code here|https://github.com/apache/phoenix/blob/2084a6c/phoenix-core/src/main/java/org/apache/phoenix/cache/ServerCacheClient.java#L282-L283]).
This means that when we first start running the query, we'll inconsistently hit the cache
until it ends up being propagated to all the regionservers.
> Basically, we'd like to have some way to warm the subquery cache and ensure it's on all
the regionservers so subsequent queries will always find the cache. I think the simplest solution
might be updating the [if statement in ServerCacheClient#addServerCache|https://github.com/apache/phoenix/blob/2084a6c/phoenix-core/src/main/java/org/apache/phoenix/cache/ServerCacheClient.java#L282-L283]
to simply always send the cache to all the regionservers if it's a persistent subquery:
> {code:java}
> - if ( ! servers.contains(entry) &&
> -         keyRanges.intersectRegion(regionStartKey, regionEndKey,
> -                 cacheUsingTable.getIndexType() == IndexType.LOCAL)) {
> + boolean keyRangesIntersect = keyRanges.intersectRegion(regionStartKey, regionEndKey,
> +         cacheUsingTable.getIndexType() == IndexType.LOCAL);
> + if (!servers.contains(entry) && (keyRangesIntersect || usePersistentCache))
{
> {code}
> I tested this out, and it seems to work as expected. If it sounds like an acceptable
solution, I'd be happy to make an actual PR. Or, if anyone has any other suggestions on better
ways to handle this, it would be much appreciated.
> FYI [~jamestaylor], [~elserj], and [~maryannxue] since it looks like you three handled
most of the review on the [original persistent cache PR|https://github.com/apache/phoenix/pull/298]



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