EarthdataHDFPointMapper is not recognized as FlatMapFunction

[Corvexmanu]

Expected behavior
Template Project for GeoSpark, GeoSparkSQL and GeoSparkViz running properly.

Actual behavior
I am trying to run the Template Project for GeoSpark, GeoSparkSQL and GeoSparkViz, but when I am trying to run the java program (In Eclipse) I am getting an error:

The error is in this line:
PointRDD spatialRDD = new PointRDD(sparkContext, earthdataInputLocation, earthdataNumPartitions, earthdataHDFPoint,StorageLevel.MEMORY_ONLY());

I checked by myself and I think so that it is related to the object earthdataInputLocation, which is not recognzed as a FlatMapFunction. But I dont know if I need to modify in some way the code or if it is just a matter of some additional step.

Steps to reproduce the problem
Open new Java project in Eclipse.
Import geospark-viz\java
Load .jar referenced libraries :
geospark1.1.3
spark-core_2.10-0.9.2
log4j-1.2.17
geospark-viz-1.1.3.jar
Settings
GeoSpark version = 1.1.3

Apache Spark version = 2.10

JRE version = 1.8.0_191

API type = Java

[jiayuasu]

@Corvexmanu I think this is because you didn't load Maven project correctly in Eclipse. The code itself should have no problem. You can simply run ./build.sh. This script will compile and run all demos on your computer. The auto-mated test has proved this.
https://github.com/jiayuasu/GeoSparkTemplateProject/blob/master/build.sh

[Corvexmanu]

@jiayuasu Ok, perfect I will do it thank you so much.

Btw, sorry, if the question was so naive, I am starting a project in my university (QUT) where I need to calculate the # of frontages and their lenghts for cadastral parcels in spatial datasets (Streets, parcels), by using some big spatial data libraries in Hadoop to then scale it up to AWS and I never have worked with spatial data, java, scala or Hadoop, just a little of C#, python and plain data.

However, I have been learning by myself from a few weeks ago and now, I feel more familiar with these technologies but still with naive doubts.... , also I decided to go ahead with GeoSpark according to my previous literature review. So thanks again.

Manuel