REST API for Big Data Spatial and Graph

All REST Endpoints

Raster API

The operations from the Raster API category.

Deletes a raster history log entry: Method: delete
Path: /spatialviewer/api/v1/raster/historyLogs/{historyLogId}
List the metadata of the loaded images in HDFS: Method: get
Path: /spatialviewer/api/v1/raster/hdfs/imagery
Loads raster files into HDFS using hadoop as implementation: Method: post
Path: /spatialviewer/api/v1/raster/hadoop/operations/load
Loads raster files into HDFS using spark as implementation: Method: post
Path: /spatialviewer/api/v1/raster/spark/operations/load
Process raster files previously upload to HDFS using hadoop: Method: post
Path: /spatialviewer/api/v1/raster/hadoop/operations/process
Process raster files previously upload to HDFS using spark: Method: post
Path: /spatialviewer/api/v1/raster/spark/operations/process
Retrieves the details of the custom jar in the server: Method: get
Path: /spatialviewer/api/v1/raster/userCustomJar
Retrieves the list of raster process logs: Method: get
Path: /spatialviewer/api/v1/raster/historyLogs
Retrieves the supported gdal formats for the raster operation: Method: get
Path: /spatialviewer/api/v1/raster/gdalFormats/{rasterOperation}
Retrieves the supported mathematical operations: Method: get
Path: /spatialviewer/api/v1/raster/rasterOperations
Uploads a user custom jar file to the server.: Method: post
Path: /spatialviewer/api/v1/raster/userCustomJar

Vector Hadoop API

The operations from the Vector Hadoop API category.

Create a spatial index using the Hadoop API: Method: post
Path: /spatialviewer/api/v1/hadoop/createIndex
Delete a spatial index: Method: delete
Path: /spatialviewer/api/v1/hadoop/indexes/{indexName}
Filter spatially the records in a spatial index using the Hadoop API: Method: get
Path: /spatialviewer/api/v1/hadoop/filter
List Hadoop spatial indexes: Method: get
Path: /spatialviewer/api/v1/hadoop/indexes
Service to classify the data into hierarchical entities: Method: post
Path: /spatialviewer/api/v1/hadoop/categorizationJob
This service is used to find spatial clusters in a data set.: Method: post
Path: /spatialviewer/api/v1/hadoop/clusteringJob
This service performs spatial binning over a spatial dataset.: Method: post
Path: /spatialviewer/api/v1/hadoop/binningJob

Vector Spark API

The operations from the Vector Spark API category.

Create a spatial index using the Spark API: Method: post
Path: /spatialviewer/api/v1/spark/createIndex
Delete a spatial index: Method: delete
Path: /spatialviewer/api/v1/spark/indexes/{indexName}
Filter spatially the records using the Spark API: Method: get
Path: /spatialviewer/api/v1/spark/filter
Joins the records of two spatial data sets.: Method: post
Path: /spatialviewer/api/v1/spark/spatialJoin
List Spark spatial indexes: Method: get
Path: /spatialviewer/api/v1/spark/indexes
Returns the K nearest elements to a given geometry.: Method: post
Path: /spatialviewer/api/v1/spark/nearestNeighbors
Run a streaming job to spatially filter the results or perform a nearest neighbors analysis.: Method: post
Path: /spatialviewer/api/v1/spark/streaming
Service to categorize records of a given index.: Method: post
Path: /spatialviewer/api/v1/spark/categorize
Submit a SQL query and return results.: Method: post
Path: /spatialviewer/api/v1/spark/sqlQuery