Dear Ghislain, 

congrats on your release! 
Looking forward to give it a try, +1 for the slim jar! :-)

Best from Lake Constance 

Michael 

> Am 03.06.2019 um 14:57 schrieb Ghislain Fourny <[email protected]>:
> 
> Dear all,
> 
> We are happy to announce that Rumble, formerly known as Sparksoniq, has made 
> it to beta, as we found it stable and usable enough.
> 
> Rumble is for large, heterogeneous and nested JSON datasets that do not fit 
> in DataFrames, nevertheless with JSONiq (XQuery's little brother) providing 
> the same high-level experience as Spark SQL, mapping FLWOR expressions to 
> Spark transformations seamlessly.
> 
> It is open source and available for download on http://rumbledb.org/ as a 
> small standalone 2MB jar to be used with spark-submit on a cluster, but it 
> also works just as well locally to spread the workload on all your CPU cores.
> 
> What's new:
> - Now billions of lines can also be manipulated as sequences of strings with 
> text-file() and FLWORs. It makes easy to convert for example CSV to your own 
> JSON on a lot of records.
> - more pushdowns to Spark.
> - richer function library.
> - more bugs fixed (character escaping, serialization, etc).
> 
> Enjoy!
> 
> Kind regards,
> Ghislain
> 
> 
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