Hi Lee,
In general, no, you would want to ingest it into a datastore which
will write the data in an indexed format so that spatial queries
will be fast. That said, we do have some spark-sql integration
points that let you load up a spatial RDD from any input files by
defining a converter to simple features. See the example here (which
is for accumulo):
http://www.geomesa.org/documentation/user/spark/sparksql.html
but use the spark provider here:
https://github.com/locationtech/geomesa/tree/master/geomesa-spark/geomesa-spark-converter
Others might be able to chime in with more details.
Thanks,
Emilio
On 03/06/2017 04:34 AM, li she wrote:
Hi, all:
I'm very new to Geomesa, and I want to know if it is
possible that reuse existed data set in an HDFS cluster
without importing to some feature store?
Thanks,
Lee
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