Animating Large Geographic Datasets using HADOOP - Northwest ...
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Animating Large Geographic Datasets using HADOOP - Northwest ...
... to be added so that we can process the points add jar hdfs:///user/esri/esri-geometry-api.jar; add jar hdfs:///user/esri/spatial-sdk-hive-1.1.1-SNAPSHOT.jar;.
www.inl.gov
Animating Large Geographic Datasets using HADOOP Sera White – Advanced Transportation Computing Lead INL/MIS-15-35323
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Geographic Data in SQL Server • Simplest Use: Data Classification – what city/zipcode/state is your data in • For mapping – Create dynamic database driven maps • For advanced analysis – Statistical modeling, 3D modeling, Time Series animation…
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Example • US States, US Zipcodes (Data inserted into database using ESRI ArcGIS)
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Optimization Algorithm using Geographic Data Types
Takes 13 records and turns it into 3
Combine
Buffer
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Can use SQL Server Select concat(year(alastlocaltime), REPLACE(STR( month(alastlocaltime),2), SPACE(1), '0')) ym, geography::Point( parklocationlatitude, parklocationlongitude,4326).BufferWithTolerance(10,5,0) geopoly INTO step1 from tripTable select ym, geography::UnionAggregate(geopoly) geopoly INTO ssTerritoryFinal from step1 group by ym;
--Used to aggregate points in a geo data set -- These jar files are the ESRI Jar files that need to be added so that we can process the points add jar hdfs:///user/esri/esri-geometry-api.jar; add jar hdfs:///user/esri/spatial-sdk-hive-1.1.1-SNAPSHOT.jar; add jar hdfs:///user/esri/spatial-sdk-json-1.1.1-SNAPSHOT.jar;
Speedup? – Run SQL using Hadoop
-- Once the jars are added we need to create the functions associated to the jars create temporary function ST_Aggr_Union as 'com.esri.hadoop.hive.ST_Aggr_Union'; create temporary function ST_Buffer as 'com.esri.hadoop.hive.ST_Buffer'; create temporary function ST_Point as 'com.esri.hadoop.hive.ST_Point'; create temporary function ST_AsText as 'com.esri.hadoop.hive.ST_AsText'; create temporary function ST_SetSRID as 'com.esri.hadoop.hive.ST_SetSRID'; --Step 1 create the datapoint with a buffer and the correct projection using a precision of .001 and Projection of 4326 CREATE TABLE step1territory as select year(alastlocaltime) year, lpad(month(alastlocaltime),2,'0') month,
ST_Buffer(ST_SetSRID( ST_Point( parklocationlongitude, parklocationlatitude),4326),'.001') geopoly from tripTable; -- Step 2 we need to concat the year and month to do time series and to group the points by yearmonth CREATE TABLE step2territory as SELECT concat(year,month) ym, geopoint from step1territory; --Step 3 Aggregate all the points based on the unigue year month combination and convert the geopoly to text for export to SQL Server drop table step3territory; create table step3territory as SELECT ym,
ST_AsText( ST_Aggr_Union(geopoly)) geopoly from step2territory group by ym; exit;
