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Merged
merged 3 commits into from
Nov 17, 2023
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Feature/add sep rank column #1

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7cf1bf7
Prevent inserting duplicate rows in metadata tables.
mtaghiza Nov 17, 2023
2c6c794
Remove unwanted input databases in creation of catalog views.
mtaghiza Nov 17, 2023
53a0d3e
Add @include_sep_rank input parameter in SQLxMatch.
mtaghiza Nov 17, 2023
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9 changes: 0 additions & 9 deletions README.md
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Expand Up @@ -18,27 +18,18 @@ To improve cross-match query execution speed, we install `SQLxMatch` in a SQL Se
The advantage of this <i>`in-database`</i> remote cross-match, compared to other <i>`in-memory`</i> local cross-match software libraries, is that the users leverage the remote database server's own (and potentially bigger) computing/memory/storage resources to filter and cross-match the full catalogs right away, having only a relatively small-sized cross-match output table returned to them.
This can be faster and more efficient than having users to download the full catalogs into their own computers (if they have enough storage), and then load them in python for filtering and running the cross-match, for instance.



## **Documentation**


Instructions on how to install and operate `SQLxMatch` can found under the [docs](https://github.com/sciserver/sqlxmatch/tree/main/docs) folder.


## **Examples**

Example Jupyter Notebooks and demos can be found under [demo](https://github.com/sciserver/sqlxmatch/tree/main/demo) folder.


## **Citation**

Taghizadeh-Popp, M. and Dobos, L. (2023) “SQLxMatch: In-Database Spatial Cross-Match of Astronomical Catalogs”. Zenodo. doi: 10.5281/zenodo.10142771.





[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.10142770.svg)](https://doi.org/10.5281/zenodo.10142770)

## **License**
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