Hello,
It may not be easy to invoke it directly, but the code is all in
this method: https://github.com/locationtech/geomesa/blob/geomesa_2.11-2.3.0/geomesa-spark/geomesa-spark-sql/src/main/scala/org/locationtech/geomesa/spark/GeoMesaSparkSQL.scala#L164
If you think it would be helpful, feel free to open a PR to make it
more accessible!
Thanks,
Emilio
On 5/28/19 5:31 AM, GRISOT, REMI wrote:
Hi,
I would like to convert a Spark Dataframe to a Feature
Collection so I can use Geomesa processes. In the Geomesa Spark
SQL doc I found that when you write a dataframe to geomesa using
dataFrame.write.format("geomesa").options(dsParams).option("geomesa.feature",
"featureName").save(),
This will automatically convert the data frame’s underlying
RDD[Row] into an RDD[SimpleFeature] and write to the data
store in parallel.
So I guess that a converter from Row to SimpleFeature exists
somewhere in the Geomesa code and maybe I could re-use it. Could
you please tell me a direction to look at (class or package) to
find this converter?
Thank you!
Rémi
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