[jira] [Closed] (SOLR-15132) Add temporal graph query to the nodes Streaming Expression

["Mayya Sharipova (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SOLR-15132?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Mayya Sharipova closed SOLR-15132.
----------------------------------

Closing after the 8.9.0 release

> Add temporal graph query to the nodes Streaming Expression
> ----------------------------------------------------------
>
>                 Key: SOLR-15132
>                 URL: https://issues.apache.org/jira/browse/SOLR-15132
>             Project: Solr
>          Issue Type: Improvement
>          Components: streaming expressions
>            Reporter: Joel Bernstein
>            Priority: Major
>             Fix For: 8.9
>
>         Attachments: SOLR-15132.patch, SOLR-15132.patch, SOLR-15132.patch, SOLR-15132.patch
>
>
> 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. 
> The main use cases for this feature are *event correlation* and *root cause analysis.* This is useful in many different fields.
> Here is an example using Solr logs to answer the following question: 
> What types of log events occur most frequently in the 30 second window prior to 10 second windows with the most slow queries:
> {code}
> nodes(logs,
>       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}
> This ticket is phase 1. Phase 2 will auto-detect different ISO Timestamp truncations so that increments of one second, one minute, one day etc... can also be traversed using the same query syntax. There will be a follow-on ticket for that after this ticket is completed. This will create a more general purpose time graph.



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