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https://issues.apache.org/jira/browse/SOLR-15000?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

bai sui updated SOLR-15000:
---------------------------
    Description: 
h2. Summary

I have developed an enterprise application based on Solr,named TIS . Use TIS 
can quickly build enterprise search service for you. TIS includes three 
components:
 - offline index building platform
 The data is exported from ER database( mysql, sqlserver and so on) through 
full table scanning, and then the wide table is constructed by local MR tool, 
or the wide table is constructed directly by spark
 - incremental real-time channel
 It is transmitted to Kafka , and real-time stream calculation is carried out 
by Flink and submitted to search engine to ensure that the data in search 
engine and database are consistent in near real time
 - search engine
 currently,based on Solr8

TIS integrate these components seamlessly and bring users one-stop, out of the 
box experience.
h2. My question

I want to feed back my code to the community, but TIS focuses on Enterprise 
Application Search, just as elasitc search focuses on visual analysis of time 
series data. Because Solr is a general search product, **I don't think TIS can 
be merged directly into Solr. Is it possible for TIS to be a new incubation 
project under Apache?**
h2. TIS main Features
 - The schema and solrconfig storage are separated from ZK and stored in MySQL. 
The version management function is provided. Users can roll back to the 
historical version of the configuration.

!add-collection-step-2-expert.png|width=500!
!add-collection-step-2.png|width=500!

Schema editing mode can be switched between visual editing mode or advanced 
expert mode

 - Define wide table rules based on the selected data table
 - The offline index building component is provided. Outside the collection, 
the data is built into Lucene segment file. Then, the segment file is returned 
to the local disk where solrcore is located. The new index of reload solrcore 
takes effect

  was:
h2. Summary

I have developed an enterprise application based on Solr,named TIS . Use TIS 
can quickly build enterprise search service for you. TIS includes three 
components:
 - offline index building platform
 The data is exported from ER database( mysql, sqlserver and so on) through 
full table scanning, and then the wide table is constructed by local MR tool, 
or the wide table is constructed directly by spark
 - incremental real-time channel
 It is transmitted to Kafka , and real-time stream calculation is carried out 
by Flink and submitted to search engine to ensure that the data in search 
engine and database are consistent in near real time
 - search engine
 currently,based on Solr8

TIS integrate these components seamlessly and bring users one-stop, out of the 
box experience.
h2. My question

I want to feed back my code to the community, but TIS focuses on Enterprise 
Application Search, just as elasitc search focuses on visual analysis of time 
series data. Because Solr is a general search product, **I don't think TIS can 
be merged directly into Solr. Is it possible for TIS to be a new incubation 
project under Apache?**
h2. TIS main Features
 - The schema and solrconfig storage are separated from ZK and stored in MySQL. 
The version management function is provided. Users can roll back to the 
historical version of the configuration.
<table>
<tr>
<td> !add-collection-step-2-expert.png|width=500!</td><td></td>
</tr>
</table>
 - Define wide table rules based on the selected data table
 - The offline index building component is provided. Outside the collection, 
the data is built into Lucene segment file. Then, the segment file is returned 
to the local disk where solrcore is located. The new index of reload solrcore 
takes effect


> Solr based enterprise level, one-stop search center products with high 
> performance, high reliability and high scalability
> -------------------------------------------------------------------------------------------------------------------------
>
>                 Key: SOLR-15000
>                 URL: https://issues.apache.org/jira/browse/SOLR-15000
>             Project: Solr
>          Issue Type: Wish
>      Security Level: Public(Default Security Level. Issues are Public) 
>          Components: Admin UI
>            Reporter: bai sui
>            Priority: Minor
>         Attachments: add-collection-step-2-expert.png, 
> add-collection-step-2.png
>
>
> h2. Summary
> I have developed an enterprise application based on Solr,named TIS . Use TIS 
> can quickly build enterprise search service for you. TIS includes three 
> components:
>  - offline index building platform
>  The data is exported from ER database( mysql, sqlserver and so on) through 
> full table scanning, and then the wide table is constructed by local MR tool, 
> or the wide table is constructed directly by spark
>  - incremental real-time channel
>  It is transmitted to Kafka , and real-time stream calculation is carried out 
> by Flink and submitted to search engine to ensure that the data in search 
> engine and database are consistent in near real time
>  - search engine
>  currently,based on Solr8
> TIS integrate these components seamlessly and bring users one-stop, out of 
> the box experience.
> h2. My question
> I want to feed back my code to the community, but TIS focuses on Enterprise 
> Application Search, just as elasitc search focuses on visual analysis of time 
> series data. Because Solr is a general search product, **I don't think TIS 
> can be merged directly into Solr. Is it possible for TIS to be a new 
> incubation project under Apache?**
> h2. TIS main Features
>  - The schema and solrconfig storage are separated from ZK and stored in 
> MySQL. The version management function is provided. Users can roll back to 
> the historical version of the configuration.
> !add-collection-step-2-expert.png|width=500!
> !add-collection-step-2.png|width=500!
> Schema editing mode can be switched between visual editing mode or advanced 
> expert mode
>  - Define wide table rules based on the selected data table
>  - The offline index building component is provided. Outside the collection, 
> the data is built into Lucene segment file. Then, the segment file is 
> returned to the local disk where solrcore is located. The new index of reload 
> solrcore takes effect



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