Randall Whitman

Results 124 comments of Randall Whitman

In the geometry API, the requested operation is called [Generalize](http://esri.github.io/geometry-api-java/javadoc/com/esri/core/geometry/OperatorGeneralize.html).

This is Open-Source and accepts [contributions](https://github.com/Esri/spatial-framework-for-hadoop/blob/master/CONTRIBUTING.md).

Thanks. Aside from that, I see we have not mavenized the samples.

For me `ant clean; ant` succeeds out of the box. Maybe some configuration or environment affects it. @harshil1234 What operating system and Ant version do you have? @climbage Any insights...

Thanks for the OS version. What is your Ant version? Not that I have any real reason to think it makes a difference - I'm making wild guesses. Maybe a...

Harshil, would you be able to submit a merge/pull request? In your patch, please adapt the `build.xml` snippet in your original comment to declare a `property` for the `maven-ant-tasks` version...

Ideally it would pick up the maven-ant-tasks jar location from the default location in the OS. Second choice would be a property for the location, which I guess would be...

Ideas and cross-references: https://github.com/Esri/spatial-framework-for-hadoop/issues/28 http://stackoverflow.com/questions/38963487/how-to-optimize-scan-of-1-huge-file-table-in-hive-to-confirm-check-if-lat-long/ http://gis.stackexchange.com/questions/178732/geospatial-queries-and-indexes-in-memory/ http://thunderheadxpler.blogspot.com/2013/10/bigdata-spatial-joins.html http://getindata.com/blog/post/geospatial-analytics-on-hadoop/ https://cwiki.apache.org/confluence/display/Hive/Spatial+queries https://github.com/Esri/spatial-framework-for-hadoop/issues/82

If your polygon dataset can fit into memory, build an in-memory quadtree index on the polygons using the Geometry API, by adapting for Spark the [MapReduce sample in the GIS-Tools-for-Hadoop](https://github.com/Esri/gis-tools-for-hadoop/tree/master/samples/point-in-polygon-aggregation-mr).

Cross-reference re Spark: #97 (works with JsonSerde as of v1.2)