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https://issues.apache.org/jira/browse/SOLR-12829?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joel Bernstein updated SOLR-12829:
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Description:
The *plist* Streaming Expression wraps any number of streaming expressions and
opens them in parallel. The results of each of the streams is then iterated in
the order they appear in the list. Since many streams perform heavy pushed down
operations when opened, like the FacetStream, this will result in the
parallelization of these operations. For example plist could wrap several
facet() expressions and open them each in parallel, which would cause the
facets to be run in parallel, on different replicas in the cluster. Here is
sample syntax:
{code:java}
plist(tuple(facet1=facet(...)),
tuple(facet2=facet(...)),
tuple(facet3=facet(...))) {code}
was:
The *plist* Streaming Expression wraps any number of streaming expressions and
opens them in parallel. The results of each of the streams is then iterated in
the order they appear in the list. Since many streams perform heavy pushed down
operations when opened, like the FacetStream, this will result in the
parallelization of these operations. For example plist could wrap several
facet() expressions and open them each in parallel, which would cause the
facets to be run in parallel, on different replicas in the cluster. Here is
sample syntax:
{code:java}
plist(tuple(facet1=facet(...)),
tuple(facet2=facet(...)),
tuple(facet3=facet(...))){code}
> Add plist (parallel list) Streaming Expression
> ----------------------------------------------
>
> Key: SOLR-12829
> URL: https://issues.apache.org/jira/browse/SOLR-12829
> Project: Solr
> Issue Type: New Feature
> Security Level: Public(Default Security Level. Issues are Public)
> Reporter: Joel Bernstein
> Assignee: Joel Bernstein
> Priority: Major
>
> The *plist* Streaming Expression wraps any number of streaming expressions
> and opens them in parallel. The results of each of the streams is then
> iterated in the order they appear in the list. Since many streams perform
> heavy pushed down operations when opened, like the FacetStream, this will
> result in the parallelization of these operations. For example plist could
> wrap several facet() expressions and open them each in parallel, which would
> cause the facets to be run in parallel, on different replicas in the cluster.
> Here is sample syntax:
> {code:java}
> plist(tuple(facet1=facet(...)),
> tuple(facet2=facet(...)),
> tuple(facet3=facet(...))) {code}
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