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https://issues.apache.org/jira/browse/SOLR-15197?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joel Bernstein updated SOLR-15197:
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Summary: Support temporal graph queries with Day and WEEKDAY windows (was:
Support temporal graph queries with daily windows)
> Support temporal graph queries with Day and WEEKDAY windows
> -----------------------------------------------------------
>
> Key: SOLR-15197
> URL: https://issues.apache.org/jira/browse/SOLR-15197
> Project: Solr
> Issue Type: Improvement
> Reporter: Joel Bernstein
> Assignee: Joel Bernstein
> Priority: Major
> Fix For: main (9.0)
>
> Attachments: SOLR-15197.patch, SOLR-15197.patch, SOLR-15197.patch
>
>
> The initial implementation of temporal graph queries supported ten second
> time windows which is useful for log analytics use cases. This ticket will
> allow for event correlation across daily windows, which is useful for many
> different fields, including event correlation in the stock market
> This ticket will add the support for daily windows and add the syntax to
> support other time windows as well. Follow-on tickets will add more time
> windows.
> Below is the sample syntax for a temporal graph query with a window of 1 DAY.
> {code:java}
> nodes(daily_stock_returns,
> search(daily_stock_returns,
> q="ticker_s:jpm AND change_d:[2 TO *]",
> fl="day_s",
> sort="change_d desc",
> rows="50"),
> walk="day_s->day_s",
> gather="ticker_s",
> fq="change_d:[1 TO *]",
> window="1DAY",
> lag="2",
> count(*))
> {code}
> This query counts all tickers that are up by atleast 1, in a one day window,
> 2 days prior to a rise in the ticker *jpm* by atleast 2. This surfaces
> tickers that most frequently rise two days before jpm rises.
> This demonstrates event correlation in stock market data.
>
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