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https://issues.apache.org/jira/browse/SOLR-15132?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17278261#comment-17278261
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Joel Bernstein edited comment on SOLR-15132 at 2/3/21, 6:04 PM:
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We need to subtract the 10 seconds window each time and create the previous
timestamps. The walk is a join. So instead of joining on just the matching ISO
timestamps, it will add the prior window timestamps as well. So we're expanding
the window backwards for each matching timestamp.
was (Author: joel.bernstein):
We need to subtract the 10 seconds window each time and create the previous
timestamps. The walk is a join. So instead of joining on the just matching ISO
timestamps, it will add the prior window timestamps as well. So we're expanding
the window backwards for each matching timestamp.
> Add window paramater to the nodes Streaming Expression
> ------------------------------------------------------
>
> Key: SOLR-15132
> URL: https://issues.apache.org/jira/browse/SOLR-15132
> Project: Solr
> Issue Type: Improvement
> Security Level: Public(Default Security Level. Issues are Public)
> Components: streaming expressions
> Reporter: Joel Bernstein
> Priority: Major
>
> The *nodes* Streaming Expression performs a breadth first graph traversal.
> This ticket will add a *window* parameter to allow the nodes expression to
> traverse the graph within a window of time.
> To take advantage of this feature you must index the content with a String
> field which is an ISO timestamp truncated at ten seconds. Then the *window*
> parameter can be applied to walk the graph within a *window prior* to a
> specific ten second window and perform aggregations.
> Here is an example using Solr logs to answer the following question:
> What types of log events occurred in the 30 second window prior to 10 second
> windows with the most slow queries:
> {code}
> nodes(facet(logs, q="qtime_s:[5000 TO *]", buckets="time_ten_seconds",
> rows="25"),
> walk="time_ten_seconds->time_ten_seconds",
> window="3",
> gather="type_s",
> count(*))
> {code}
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