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 <>:
>
> 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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