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https://issues.apache.org/jira/browse/SOLR-9559?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joel Bernstein updated SOLR-9559:
---------------------------------
Description:
The ExecutorStream will wrap a stream which contains Tuples with Streaming
Expressions to execute. By default the ExecutorStream will look for the
expression in the *expr* field in the Tuples.
The ExecutorStream will have an internal thread pool so expressions can be
executed in parallel in a single worker. The ExecutorStream can also be wrapped
by the parallel function to partition the Streaming Expressions that need to be
executed across a cluster of worker nodes.
Sample syntax:
{code}
daemon(executor(threads=10, topic(storedExpressions, fl="expr", ...)))
{code}
In the example above a *daemon* wraps an *executor* which wraps a *topic* that
is reading a stored Streaming Expressions. The daemon will call the executor at
intervals which will execute all the expressions retrieved by the topic.
was:
The ExecutorStream will wrap a stream which contains Tuples with Streaming
Expressions to execute. By default the ExecutorStream will look for the
expression in the *expr* field in the Tuples.
The ExecutorStream will have an internal thread pool so expressions can be
executed in parallel in a single worker. The ExecutorStream can also be wrapped
by the parallel function to partition the Streaming Expressions that need to be
executed across a cluster of worker nodes.
Sample syntax:
{code}
executor(topic(storedExpressions, fl="expr", ...))
{code}
> Add ExecutorStream to execute a stream of Streaming Expressions
> ---------------------------------------------------------------
>
> Key: SOLR-9559
> URL: https://issues.apache.org/jira/browse/SOLR-9559
> Project: Solr
> Issue Type: New Feature
> Security Level: Public(Default Security Level. Issues are Public)
> Reporter: Joel Bernstein
> Assignee: Joel Bernstein
>
> The ExecutorStream will wrap a stream which contains Tuples with Streaming
> Expressions to execute. By default the ExecutorStream will look for the
> expression in the *expr* field in the Tuples.
> The ExecutorStream will have an internal thread pool so expressions can be
> executed in parallel in a single worker. The ExecutorStream can also be
> wrapped by the parallel function to partition the Streaming Expressions that
> need to be executed across a cluster of worker nodes.
> Sample syntax:
> {code}
> daemon(executor(threads=10, topic(storedExpressions, fl="expr", ...)))
> {code}
> In the example above a *daemon* wraps an *executor* which wraps a *topic*
> that is reading a stored Streaming Expressions. The daemon will call the
> executor at intervals which will execute all the expressions retrieved by the
> topic.
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