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Posted to issues@solr.apache.org by "ASF subversion and git services (Jira)" <ji...@apache.org> on 2022/01/20 16:01:00 UTC
[jira] [Commented] (SOLR-14916) Add split parameter to timeseries Streaming Expression
[ https://issues.apache.org/jira/browse/SOLR-14916?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17479472#comment-17479472 ]
ASF subversion and git services commented on SOLR-14916:
--------------------------------------------------------
Commit 08fcd14a6f9259e73ce2236c7081bf6c30cfd4cd in solr's branch refs/heads/main from Joel Bernstein
[ https://gitbox.apache.org/repos/asf?p=solr.git;h=08fcd14 ]
SOLR-14916: Update CHANGES.txt
> Add split parameter to timeseries Streaming Expression
> ------------------------------------------------------
>
> Key: SOLR-14916
> URL: https://issues.apache.org/jira/browse/SOLR-14916
> Project: Solr
> Issue Type: Improvement
> Components: streaming expressions
> Reporter: Joel Bernstein
> Assignee: Joel Bernstein
> Priority: Major
> Fix For: 9.0
>
> Attachments: SOLR-14916.patch, SOLR-14916.patch, SOLR-14916.patch, Screen Shot 2021-04-07 at 12.57.54 PM.png, Screen Shot 2021-04-07 at 12.59.24 PM.png, Screen Shot 2021-04-07 at 12.59.40 PM.png
>
>
> Currently the *timeseries* function only supports aggregations across the time dimension. This ticket will add the *split* parameter which will add a top level split by categorical field, to produce time lines per each split. The limit parameter will also be added and be applied only to split. The sort will always be desc on the first aggregation in the first iteration to keep the parameters simple.
> Sample syntax:
> {code}
> timeseries(collection1,
> q="*:*",
> field="timefield",
> split="company",
> limit="10",
> gap="+1DAY",
> format="YYYY-dd-MM" ,
> avg(price_f))
> {code}
> The output of this can be easily pivoted into a matrix and correlated or clustered like the output of the *facet2D* function. The *diff* and *minMaxScale* functions already support operations over matrix rows so it's very easy to perform clustering etc.. on this output.
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