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Re: [geomesa-users] Use geomesa processes with Spark
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Hello,
A feature collection is kind of like a pointer to remote data, so it's
generally not serializable. However, you can do an initial query through
spark to load the features with speed = 0, then you can map each feature
in your rdd/dataframe into a KNN query. You should be able to invoke the
KNN process through code by instantiating the process, creating a local
feature collection and invoking 'execute', similar to this unit test for
the query process:
https://github.com/locationtech/geomesa/blob/geomesa_2.11-2.2.1/geomesa-process/geomesa-process-vector/src/test/scala/org/locationtech/geomesa/process/query/QueryProcessTest.scala#L25
Thanks,
Emilio
On 3/4/19 5:40 AM, GRISOT, REMI wrote:
Hello,
I have position history for some cabs and I would like to find the
points of interests where they stopped.
To achieve this, I used geomesa processes (query and knn): first, I keep
only features when speed is 0 (query process) and then foreach feature,
I do a knn-search with k=1 and max radius = 500m.
This works fine, however I would like to parallelize this over a spark
cluster. So I converted my FeatureCollection into a spark RDD and tried
to apply filter and knn on each row. But I got an
NotSerializableException because AccumuloFeatureCollection is not
serializable.
I saw that some geospatial functions are available in spark using jts
module, however I could not find KNN.
Is there a way to use geomesa processes with spark?
Thank you!
Rémi
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