From c9b3d493bb88bdb10b947d8306f95c30424806b0 Mon Sep 17 00:00:00 2001 From: Jia Yu Date: Tue, 19 Dec 2023 12:46:32 -0800 Subject: [PATCH] Update examples --- .github/workflows/example.yml | 32 +- examples/README.md | 12 +- .../spark-rdd-colocation-mining/.gitignore | 3 - .../spark-rdd-colocation-mining/README.md | 62 ---- .../spark-rdd-colocation-mining/build.sbt | 86 ----- .../colocationMap.png | Bin 30259 -> 0 bytes .../project/.gitignore | 2 - .../project/build.properties | 1 - .../project/plugins.sbt | 1 - .../src/test/resources/arealandmark.png | Bin 24322 -> 0 bytes .../src/test/resources/colocation.png | Bin 489130 -> 0 bytes .../src/test/resources/colocationMap.png | Bin 29529 -> 0 bytes .../src/test/resources/colocationResult.png | Bin 576150 -> 0 bytes .../nyu_2451_34514.cst | 1 - .../src/test/resources/nyccolocation.png | Bin 1444124 -> 0 bytes examples/spark-sql/.gitignore | 3 +- examples/spark-sql/build.sbt | 86 ----- examples/spark-sql/colocationMap.png | Bin 0 -> 41586 bytes examples/spark-sql/dependency-reduced-pom.xml | 166 +++++++++ examples/spark-sql/pom.xml | 324 ++++++++++++++++++ examples/spark-sql/project/.gitignore | 2 - examples/spark-sql/project/build.properties | 1 - examples/spark-sql/project/plugins.sbt | 1 - examples/spark-sql/src/main/scala/Main.scala | 58 ++++ .../src/main/scala/RddExample.scala} | 96 ++---- .../src/main/scala/ScalaExample.scala | 153 --------- .../spark-sql/src/main/scala/SqlExample.scala | 128 +++++++ .../spark-sql/src/main/scala/VizExample.scala | 139 ++++++++ .../src/test/resources/arealm.csv | 2 +- .../nyu_2451_34514.cst | 1 + .../nyu_2451_34514.dbf | Bin .../nyu_2451_34514.prj | 2 +- .../nyu_2451_34514.shp | Bin .../nyu_2451_34514.shx | Bin .../wfsrequest.txt | 2 +- .../test/resources/primaryroads-polygon.csv | 0 .../resources/raster/FAA_UTM18N_NAD83.tif | Bin 0 -> 2785537 bytes .../src/test/resources/raster/test2.tiff | Bin 174803 -> 0 bytes .../src/test/resources/scalastyle_config.xml | 2 +- .../src/test/resources/testenvelope.csv | 2 +- .../src/test/resources/testpoint.csv | 2 +- .../yellow_tripdata_2009-01-subset.csv | 0 .../src/test/resources/zcta510.csv | 0 examples/spark-viz/.gitignore | 2 - examples/spark-viz/build.sbt | 86 ----- examples/spark-viz/project/.gitignore | 2 - examples/spark-viz/project/build.properties | 1 - examples/spark-viz/project/plugins.sbt | 1 - .../src/main/scala/ScalaExample.scala | 223 ------------ .../test/resources/babylon.point.properties | 9 - .../test/resources/babylon.polygon.properties | 9 - .../resources/babylon.rectangle.properties | 9 - 52 files changed, 884 insertions(+), 828 deletions(-) delete mode 100644 examples/spark-rdd-colocation-mining/.gitignore delete mode 100644 examples/spark-rdd-colocation-mining/README.md delete mode 100644 examples/spark-rdd-colocation-mining/build.sbt delete mode 100644 examples/spark-rdd-colocation-mining/colocationMap.png delete mode 100644 examples/spark-rdd-colocation-mining/project/.gitignore delete mode 100644 examples/spark-rdd-colocation-mining/project/build.properties delete mode 100644 examples/spark-rdd-colocation-mining/project/plugins.sbt delete mode 100644 examples/spark-rdd-colocation-mining/src/test/resources/arealandmark.png delete mode 100644 examples/spark-rdd-colocation-mining/src/test/resources/colocation.png delete mode 100644 examples/spark-rdd-colocation-mining/src/test/resources/colocationMap.png delete mode 100644 examples/spark-rdd-colocation-mining/src/test/resources/colocationResult.png delete mode 100755 examples/spark-rdd-colocation-mining/src/test/resources/nyc-area-landmark-shapefile/nyu_2451_34514.cst delete mode 100644 examples/spark-rdd-colocation-mining/src/test/resources/nyccolocation.png delete mode 100644 examples/spark-sql/build.sbt create mode 100644 examples/spark-sql/colocationMap.png create mode 100644 examples/spark-sql/dependency-reduced-pom.xml create mode 100644 examples/spark-sql/pom.xml delete mode 100644 examples/spark-sql/project/.gitignore delete mode 100644 examples/spark-sql/project/build.properties delete mode 100644 examples/spark-sql/project/plugins.sbt create mode 100644 examples/spark-sql/src/main/scala/Main.scala rename examples/{spark-rdd-colocation-mining/src/main/scala/ScalaExample.scala => spark-sql/src/main/scala/RddExample.scala} (58%) delete mode 100644 examples/spark-sql/src/main/scala/ScalaExample.scala create mode 100644 examples/spark-sql/src/main/scala/SqlExample.scala create mode 100644 examples/spark-sql/src/main/scala/VizExample.scala rename examples/{spark-viz => spark-sql}/src/test/resources/arealm.csv (95%) create mode 100755 examples/spark-sql/src/test/resources/nyc-area-landmark-shapefile/nyu_2451_34514.cst rename examples/{spark-rdd-colocation-mining => spark-sql}/src/test/resources/nyc-area-landmark-shapefile/nyu_2451_34514.dbf (100%) rename examples/{spark-rdd-colocation-mining => spark-sql}/src/test/resources/nyc-area-landmark-shapefile/nyu_2451_34514.prj (95%) rename examples/{spark-rdd-colocation-mining => spark-sql}/src/test/resources/nyc-area-landmark-shapefile/nyu_2451_34514.shp (100%) rename examples/{spark-rdd-colocation-mining => spark-sql}/src/test/resources/nyc-area-landmark-shapefile/nyu_2451_34514.shx (100%) rename examples/{spark-rdd-colocation-mining => spark-sql}/src/test/resources/nyc-area-landmark-shapefile/wfsrequest.txt (74%) rename examples/{spark-viz => spark-sql}/src/test/resources/primaryroads-polygon.csv (100%) create mode 100644 examples/spark-sql/src/test/resources/raster/FAA_UTM18N_NAD83.tif delete mode 100644 examples/spark-sql/src/test/resources/raster/test2.tiff rename examples/{spark-rdd-colocation-mining => spark-sql}/src/test/resources/yellow_tripdata_2009-01-subset.csv (100%) rename examples/{spark-viz => spark-sql}/src/test/resources/zcta510.csv (100%) delete mode 100644 examples/spark-viz/.gitignore delete mode 100644 examples/spark-viz/build.sbt delete mode 100644 examples/spark-viz/project/.gitignore delete mode 100644 examples/spark-viz/project/build.properties delete mode 100644 examples/spark-viz/project/plugins.sbt delete mode 100644 examples/spark-viz/src/main/scala/ScalaExample.scala delete mode 100644 examples/spark-viz/src/test/resources/babylon.point.properties delete mode 100644 examples/spark-viz/src/test/resources/babylon.polygon.properties delete mode 100644 examples/spark-viz/src/test/resources/babylon.rectangle.properties diff --git a/.github/workflows/example.yml b/.github/workflows/example.yml index 74b1836b31..c87aa9579b 100644 --- a/.github/workflows/example.yml +++ b/.github/workflows/example.yml @@ -15,9 +15,23 @@ jobs: build: runs-on: ubuntu-22.04 + strategy: + fail-fast: false + matrix: + include: + - spark: 3.4.2 + spark-compat: 3.4 + sedona: 1.5.0 + - spark: 3.5.0 + spark-compat: 3.4 + sedona: 1.5.0 + - spark: 3.3.4 + spark-compat: 3.0 + sedona: 1.5.0 + steps: - - uses: actions/checkout@v4 + - uses: actions/checkout@v2 - uses: actions/setup-java@v1 with: java-version: '8' @@ -30,19 +44,21 @@ jobs: - run: sudo apt-get update - run: sudo apt-get install sbt - name: Cache SBT - uses: actions/cache@v3 + uses: actions/cache@v2 with: - path: | + path: | ~/.ivy2/cache ~/.sbt key: ${{ runner.os }}-sbt-${{ hashFiles('**/build.sbt') }} - name: Cache Maven packages - uses: actions/cache@v3 + uses: actions/cache@v2 with: path: ~/.m2 key: ${{ runner.os }}-m2-${{ hashFiles('**/pom.xml') }} restore-keys: ${{ runner.os }}-m2 - - run: (cd examples/spark-rdd-colocation-mining;sbt clean assembly;java -jar target/scala-2.12/*.jar) - - run: (cd examples/spark-sql;sbt clean assembly;java -jar target/scala-2.12/*.jar) - - run: (cd examples/spark-viz;sbt clean assembly;java -jar target/scala-2.12/*.jar) - - run: (cd examples/flink-sql;mvn clean install;java -jar target/sedona-flink-example-1.0.0.jar) + - env: + SPARK_VERSION: ${{ matrix.spark }} + SPARK_COMPAT_VERSION: ${{ matrix.spark-compat }} + SEDONA_VERSION: ${{ matrix.sedona }} + - run: (cd examples/spark-sql;mvn clean install -Dspark.version=${SPARK_VERSION} -Dspark.compat.version=${SPARK_COMPAT_VERSION} -Dsedona.version=${SEDONA_VERSION};java -jar target/sedona-spark-example-1.0.0.jar) + - run: (cd examples/flink-sql;mvn clean install -D;java -jar target/sedona-flink-example-1.0.0.jar) \ No newline at end of file diff --git a/examples/README.md b/examples/README.md index a5995f99b0..f8b17af1b5 100644 --- a/examples/README.md +++ b/examples/README.md @@ -1,27 +1,27 @@ # Sedona Template Project -This repository contains template projects for RDD, SQL and Viz. The template projects have been configured properly. +This repository contains template projects for Sedona on Spark and Flink. The template projects have been configured properly. Note that, although the template projects are written in Scala, the same APIs can be used in Java as well. ## Folder structure The folder structure of this repository is as follows. -* rdd-colocation-mining: a scala template shows how to use Sedona RDD API in Spatial Data Mining -* sql: a scala template shows how to use Sedona DataFrame and SQL API -* viz: a scala template shows how to use Sedona Viz RDD and SQL API +* spark-sql: a Scala template shows how to use Sedona RDD, DataFrame and SQL API +* flink-sql: a Java template show how to use Sedona SQL via Flink Table APIs + ## Compile and package ### Prerequisites Please make sure you have the following software installed on your local machine: -* For Scala: Scala 2.12, SBT +* For Scala: Scala 2.12 * For Java: JDK 1.8, Apache Maven 3 ### Compile -Run a terminal command `sbt assembly` within the folder of each template +Run a terminal command `mvn clean package` within the folder of each template ### Submit your fat jar to Spark diff --git a/examples/spark-rdd-colocation-mining/.gitignore b/examples/spark-rdd-colocation-mining/.gitignore deleted file mode 100644 index d10b134186..0000000000 --- a/examples/spark-rdd-colocation-mining/.gitignore +++ /dev/null @@ -1,3 +0,0 @@ -/target/ -/.idea/ -/spark-warehouse/ diff --git a/examples/spark-rdd-colocation-mining/README.md b/examples/spark-rdd-colocation-mining/README.md deleted file mode 100644 index a5767e8cb0..0000000000 --- a/examples/spark-rdd-colocation-mining/README.md +++ /dev/null @@ -1,62 +0,0 @@ -# Sedona-Analysis - -This is a template project that shows how to use Sedona in Spatial Data Mining - -## Example - -### Spatial Co-Location Pattern Mining - -#### What is spatial co-location pattern mining -Spatial co-location is defined as two or more species are often located in a neighborhood relationship. Ripley's K function is often used in judging co-location. It usually executes multiple times and form a 2-dimension curve for observation. - -***In Africa, lions co-locate with zebras.*** - - - -#### Ripley's K function -We use Ripley's K function to calculate **Multivariate Spatial Patterns** - -Here are some materials regarding how to use Ripley's K function and its transformation L function. - -Single type K function: - -* [ArcGIS documents](http://pro.arcgis.com/en/pro-app/tool-reference/spatial-statistics/h-how-multi-distance-spatial-cluster-analysis-ripl.htm) -* Ripley's paper: Ripley, B.D. (1976). The second-order analysis of stationary point processes, Journal of Applied Probability -13, 255–266. - -Multivariate K function and L function: - -* [Philip M. Dixon, Encyclopedia of Environmetrics](https://www3.nd.edu/~mhaenggi/ee87021/Dixon-K-Function.pdf) -* [A blog about the co-location of Pokémon and Pokéstops in PokémonGo](http://blog.jlevente.com/understanding-the-cross-k-function/) - -#### New York City Taxi Trip and Area Landmarks - -The data scientist in NYC Taxi Company has a guess that the taxi pickup points are co-located with these area landmarks such as airports, museums, hospitals, colleges and so on. In other words, many taxi trips start from area landmarks. He wants to use a quantitative metric to measure the degree of co-location pattern. - -**Dataset** - -* NYC Taxi trip pickup points (CSV): http://www.nyc.gov/html/tlc/html/about/trip_record_data.shtml -* NYC Area landmarks (Shapefile): https://geo.nyu.edu/catalog/nyu_2451_34514 - -**Code** - -Run the code in "ScalaExample". You will obtain a visualized co-location map and the result of 10 iterations Ripley's L function. - -You can download more NYC taxi trip data to obtain a detailed analyze result. - -**Result** - -Visualized co-location map, use the subset in the template project. The output image is in the root folder: - - - -Visualized co-location map, use all 1.3 billion taxi trip pickup points: - - - -Ripley's L function result: - - - -Conclusion: -New York City taxi trip pickup points co-locate with New York City area landmarks diff --git a/examples/spark-rdd-colocation-mining/build.sbt b/examples/spark-rdd-colocation-mining/build.sbt deleted file mode 100644 index 257fb688c8..0000000000 --- a/examples/spark-rdd-colocation-mining/build.sbt +++ /dev/null @@ -1,86 +0,0 @@ -/* - * Licensed to the Apache Software Foundation (ASF) under one - * or more contributor license agreements. See the NOTICE file - * distributed with this work for additional information - * regarding copyright ownership. The ASF licenses this file - * to you under the Apache License, Version 2.0 (the - * "License"); you may not use this file except in compliance - * with the License. You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, - * software distributed under the License is distributed on an - * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY - * KIND, either express or implied. See the License for the - * specific language governing permissions and limitations - * under the License. - */ - -import sbt.Keys.{libraryDependencies, version} - - -lazy val root = (project in file(".")). - settings( - name := "sedona-analysis", - - version := "0.1.0", - - scalaVersion := "2.12.11", - - organization := "org.apache.sedona", - - publishMavenStyle := true - ) - -val SparkVersion = "3.3.1" - -val SparkCompatibleVersion = "3.0" - -val HadoopVersion = "2.7.2" - -val SedonaVersion = "1.4.0" - -val ScalaCompatibleVersion = "2.12" - -// Change the dependency scope to "provided" when you run "sbt assembly" -val dependencyScope = "compile" - -val geotoolsVersion = "1.4.0-28.2" - -//val jacksonVersion = "2.10.0" - -logLevel := Level.Warn - -logLevel in assembly := Level.Error - -libraryDependencies ++= Seq( -// "com.fasterxml.jackson.core" % "jackson-databind" % jacksonVersion % dependencyScope, -// "com.fasterxml.jackson.core" % "jackson-core" % jacksonVersion % dependencyScope, - "org.apache.spark" %% "spark-core" % SparkVersion % dependencyScope exclude("org.apache.hadoop", "*"), - "org.apache.spark" %% "spark-sql" % SparkVersion % dependencyScope exclude("org.apache.hadoop", "*"), - "org.apache.hadoop" % "hadoop-mapreduce-client-core" % HadoopVersion % dependencyScope, - "org.apache.hadoop" % "hadoop-common" % HadoopVersion % dependencyScope, - "org.apache.hadoop" % "hadoop-hdfs" % HadoopVersion % dependencyScope, - "org.apache.sedona" % "sedona-spark-shaded-".concat(SparkCompatibleVersion).concat("_").concat(ScalaCompatibleVersion) % SedonaVersion changing(), - "org.apache.sedona" % "sedona-viz-".concat(SparkCompatibleVersion).concat("_").concat(ScalaCompatibleVersion) % SedonaVersion changing(), - // The following GeoTools packages are only required if you need CRS transformation. Under GNU Lesser General Public License (LGPL) license - "org.datasyslab" % "geotools-wrapper" % geotoolsVersion % "compile" -) - -assemblyMergeStrategy in assembly := { - case PathList("org.apache.sedona", "sedona-core", xs@_*) => MergeStrategy.first - case PathList("META-INF", "MANIFEST.MF") => MergeStrategy.discard - case PathList("META-INF","services",xs @ _*) => MergeStrategy.filterDistinctLines - case path if path.endsWith(".SF") => MergeStrategy.discard - case path if path.endsWith(".DSA") => MergeStrategy.discard - case path if path.endsWith(".RSA") => MergeStrategy.discard - case _ => MergeStrategy.first -} - -resolvers ++= Seq( - "Maven Central" at "https://repo.maven.apache.org/maven2/", - "Open Source Geospatial Foundation Repository" at "https://repo.osgeo.org/repository/release/", - "Apache Software Foundation Snapshots" at "https://repository.apache.org/content/groups/snapshots", - "Java.net repository" at "https://download.java.net/maven/2" -) diff --git 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zF+uxJ?-*tJKBcJ{gxJH6U3NXL(1W)*zf_DJmQGG6%RouaSc{?ra#1361%M_BQX0#_qD`{uy2w-m-Zs-JXFNLFtML{5D_2rXw`mB7zc2psXD8ji(fM{ zTeb5E$QnPIs+)Of09lNp!kuu>q~k(qZddCl9{Ub^h&5)>t#AAR8B`lhGUNz2^Q8&dItiRC%gS+|@23txHB%>V!Z literal 0 HcmV?d00001 diff --git a/examples/spark-sql/dependency-reduced-pom.xml b/examples/spark-sql/dependency-reduced-pom.xml new file mode 100644 index 0000000000..dd5a2f6101 --- /dev/null +++ b/examples/spark-sql/dependency-reduced-pom.xml @@ -0,0 +1,166 @@ + + + 4.0.0 + org.apache.sedona + sedona-spark-example + ${project.groupId}:${project.artifactId} + 1.0.0 + Maven Example for SedonaDB + + src/main/scala + + + src/test/resources/ + + + + + net.alchim31.maven + scala-maven-plugin + 3.2.1 + + + scala-compile-first + process-resources + + add-source + compile + + + + -dependencyfile + ${project.build.directory}/.scala_dependencies + + + + + scala-test-compile + process-test-resources + + testCompile + + + + -dependencyfile + ${project.build.directory}/.scala_dependencies + + + + + + + maven-jar-plugin + 3.3.0 + + + + Main + + + + + + maven-compiler-plugin + 3.1 + + 1.8 + 1.8 + + + + maven-shade-plugin + 2.1 + + + package + + shade + + + + + + reference.conf + + + + Java Advanced Imaging Image I/O Tools + 1.1 + Sun Microsystems, Inc. + com.sun.media.imageio + 1.1 + Sun Microsystems, Inc. + com.sun.media.imageio + + + + + + *:* + + META-INF/*.SF + META-INF/*.DSA + META-INF/*.RSA + + + + + + + + + + + + + + false + + maven-central + Maven Central Repository + https://repo.maven.apache.org/maven2/ + + + maven2-repository.dev.java.net + Java.net repository + https://download.java.net/maven/2 + + + + + false + + osgeo + OSGeo Release Repository + https://repo.osgeo.org/repository/release/ + + + + + junit + junit + 4.12 + test + + + hamcrest-core + org.hamcrest + + + + + + 3.4 + 28.2 + compile + compile + 1.1.24 + 1.5.0 + compile + UTF-8 + 3.3.4 + 2.12 + 3.4.0 + + + diff --git a/examples/spark-sql/pom.xml b/examples/spark-sql/pom.xml new file mode 100644 index 0000000000..b404174700 --- /dev/null +++ b/examples/spark-sql/pom.xml @@ -0,0 +1,324 @@ + + + + 4.0.0 + org.apache.sedona + sedona-spark-example + 1.0.0 + + ${project.groupId}:${project.artifactId} + Maven Example for SedonaDB + jar + + + UTF-8 + compile + compile + compile + + 28.2 + 1.1.24 + 3.4.0 + 3.4 + 2.12 + 1.5.0 + 3.3.4 + + + + + org.apache.spark + spark-core_${scala.compat.version} + ${spark.version} + ${dependency.scope} + + + org.apache.spark + spark-sql_${scala.compat.version} + ${spark.version} + ${dependency.scope} + + + org.apache.sedona + sedona-spark-${spark.compat.version}_${scala.compat.version} + ${sedona.version} + ${sedona.scope} + + + + + + + + org.geotools + gt-main + ${geotools.version} + ${geotools.scope} + + + org.locationtech.jts + jts-core + + + com.fasterxml.jackson.core + * + + + + + + org.geotools + gt-referencing + ${geotools.version} + ${geotools.scope} + + + com.fasterxml.jackson.core + * + + + net.sf.geographiclib + * + + + + + + org.geotools + gt-epsg-hsql + ${geotools.version} + ${geotools.scope} + + + com.fasterxml.jackson.core + * + + + + + org.geotools + gt-shapefile + ${geotools.version} + ${geotools.scope} + + + com.fasterxml.jackson.core + * + + + + + + org.geotools + gt-geotiff + ${geotools.version} + ${geotools.scope} + + + org.geotools + gt-process-feature + ${geotools.version} + ${geotools.scope} + + + org.geotools + gt-arcgrid + ${geotools.version} + ${geotools.scope} + + + org.geotools + gt-coverage + ${geotools.version} + ${geotools.scope} + + + it.geosolutions.jaiext.jiffle + jt-jiffle-language + ${jt-jiffle.version} + ${geotools.scope} + + + * + * + + + + + + org.apache.hadoop + hadoop-aws + ${hadoop.version} + ${dependency.scope} + + + junit + junit + 4.12 + test + + + + + maven-central + Maven Central Repository + https://repo.maven.apache.org/maven2/ + + false + + + true + + + + maven2-repository.dev.java.net + Java.net repository + https://download.java.net/maven/2 + + + osgeo + OSGeo Release Repository + https://repo.osgeo.org/repository/release/ + + false + + + true + + + + + + src/main/scala + + + net.alchim31.maven + scala-maven-plugin + 3.2.1 + + + scala-compile-first + process-resources + + add-source + compile + + + + -dependencyfile + ${project.build.directory}/.scala_dependencies + + + + + scala-test-compile + process-test-resources + + testCompile + + + + -dependencyfile + ${project.build.directory}/.scala_dependencies + + + + + + + + org.apache.maven.plugins + maven-jar-plugin + 3.3.0 + + + + + Main + + + + + + org.apache.maven.plugins + maven-compiler-plugin + 3.1 + + 1.8 + 1.8 + + + + org.apache.maven.plugins + maven-shade-plugin + 2.1 + + + package + + shade + + + + + + + reference.conf + + + + Java Advanced Imaging Image I/O Tools + 1.1 + Sun Microsystems, Inc. + com.sun.media.imageio + 1.1 + Sun Microsystems, Inc. + com.sun.media.imageio + + + + + + + *:* + + META-INF/*.SF + META-INF/*.DSA + META-INF/*.RSA + + + + + + + + + + + src/test/resources/ + + + + + diff --git a/examples/spark-sql/project/.gitignore b/examples/spark-sql/project/.gitignore deleted file mode 100644 index 6a60ed534c..0000000000 --- a/examples/spark-sql/project/.gitignore +++ /dev/null @@ -1,2 +0,0 @@ -/target/ -/project/ diff --git a/examples/spark-sql/project/build.properties b/examples/spark-sql/project/build.properties deleted file mode 100644 index 7a7e80d6d2..0000000000 --- a/examples/spark-sql/project/build.properties +++ /dev/null @@ -1 +0,0 @@ -sbt.version = 1.5.5 diff --git a/examples/spark-sql/project/plugins.sbt b/examples/spark-sql/project/plugins.sbt deleted file mode 100644 index 7bc4622d2c..0000000000 --- a/examples/spark-sql/project/plugins.sbt +++ /dev/null @@ -1 +0,0 @@ -addSbtPlugin("com.eed3si9n" % "sbt-assembly" % "1.1.0") diff --git a/examples/spark-sql/src/main/scala/Main.scala b/examples/spark-sql/src/main/scala/Main.scala new file mode 100644 index 0000000000..cd3e4c67a8 --- /dev/null +++ b/examples/spark-sql/src/main/scala/Main.scala @@ -0,0 +1,58 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, + * software distributed under the License is distributed on an + * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY + * KIND, either express or implied. See the License for the + * specific language governing permissions and limitations + * under the License. + */ + +import RddExample.{calculateSpatialColocation, visualizeSpatialColocation} +import SqlExample._ +import VizExample._ +import org.apache.log4j.{Level, Logger} +import org.apache.sedona.spark.SedonaContext +import org.apache.sedona.viz.core.Serde.SedonaVizKryoRegistrator +import org.apache.sedona.viz.sql.utils.SedonaVizRegistrator + + +object Main extends App { + Logger.getRootLogger().setLevel(Level.WARN) + + val config = SedonaContext.builder().appName("SedonaSQL-demo") + .master("local[*]") // Please comment out this when use it on a cluster + .config("spark.kryo.registrator", classOf[SedonaVizKryoRegistrator].getName) + .getOrCreate() + val sedona = SedonaContext.create(config) + + SedonaVizRegistrator.registerAll(sedona) + + val resourceFolder = System.getProperty("user.dir")+"/src/test/resources/" + + testPredicatePushdownAndRangeJonQuery(sedona) + testDistanceJoinQuery(sedona) + testAggregateFunction(sedona) + testShapefileConstructor(sedona) + testRasterIOAndMapAlgebra(sedona) + + visualizeSpatialColocation(sedona) + calculateSpatialColocation(sedona) + + buildScatterPlot(sedona) + buildHeatMap(sedona) + buildChoroplethMap(sedona) + parallelFilterRenderNoStitch(sedona) + sqlApiVisualization(sedona) + System.out.println("All SedonaSQL DEMOs passed!") + +} diff --git a/examples/spark-rdd-colocation-mining/src/main/scala/ScalaExample.scala b/examples/spark-sql/src/main/scala/RddExample.scala similarity index 58% rename from examples/spark-rdd-colocation-mining/src/main/scala/ScalaExample.scala rename to examples/spark-sql/src/main/scala/RddExample.scala index f69a4e98a5..d51133ff5f 100644 --- a/examples/spark-rdd-colocation-mining/src/main/scala/ScalaExample.scala +++ b/examples/spark-sql/src/main/scala/RddExample.scala @@ -1,42 +1,34 @@ -/* - * Licensed to the Apache Software Foundation (ASF) under one - * or more contributor license agreements. See the NOTICE file - * distributed with this work for additional information - * regarding copyright ownership. The ASF licenses this file - * to you under the Apache License, Version 2.0 (the - * "License"); you may not use this file except in compliance - * with the License. You may obtain a copy of the License at +/** * - * http://www.apache.org/licenses/LICENSE-2.0 + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at * - * Unless required by applicable law or agreed to in writing, - * software distributed under the License is distributed on an - * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY - * KIND, either express or implied. See the License for the - * specific language governing permissions and limitations - * under the License. + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. */ -import java.awt.Color -import org.apache.log4j.{Level, Logger} +import Main.resourceFolder import org.apache.sedona.core.enums.{GridType, IndexType} import org.apache.sedona.core.formatMapper.shapefileParser.ShapefileReader import org.apache.sedona.core.spatialOperator.JoinQuery import org.apache.sedona.core.spatialRDD.{CircleRDD, SpatialRDD} -import org.apache.sedona.sql.utils.{Adapter, SedonaSQLRegistrator} +import org.apache.sedona.sql.utils.Adapter import org.apache.sedona.viz.core.{ImageGenerator, RasterOverlayOperator} -import org.apache.sedona.viz.core.Serde.SedonaVizKryoRegistrator import org.apache.sedona.viz.extension.visualizationEffect.{HeatMap, ScatterPlot} -import org.apache.sedona.viz.sql.utils.SedonaVizRegistrator import org.apache.sedona.viz.utils.ImageType -import org.apache.spark.serializer.KryoSerializer import org.apache.spark.sql.SparkSession import org.locationtech.jts.geom.Geometry +import java.awt.Color -object ScalaExample extends App{ - val resourceFolder = System.getProperty("user.dir")+"/src/test/resources/" +object RddExample { // Data link (in shapefile): https://geo.nyu.edu/catalog/nyu_2451_34514 val nycArealandmarkShapefileLocation = resourceFolder+"nyc-area-landmark-shapefile" @@ -46,32 +38,16 @@ object ScalaExample extends App{ val colocationMapLocation = System.getProperty("user.dir")+"/colocationMap" - Logger.getLogger("org").setLevel(Level.WARN) - Logger.getLogger("akka").setLevel(Level.WARN) - - visualizeSpatialColocation() - calculateSpatialColocation() - - System.out.println("Finished Sedona Spatial Analysis Example") - - - def visualizeSpatialColocation(): Unit = + def visualizeSpatialColocation(sedona: SparkSession): Unit = { - val sparkSession:SparkSession = SparkSession.builder().config("spark.serializer",classOf[KryoSerializer].getName). - config("spark.kryo.registrator", classOf[SedonaVizKryoRegistrator].getName) - .master("local[*]").appName("Sedona-Analysis").getOrCreate() - - SedonaSQLRegistrator.registerAll(sparkSession) - SedonaVizRegistrator.registerAll(sparkSession) - // Prepare NYC area landmarks which includes airports, museums, colleges, hospitals - var arealmRDD = ShapefileReader.readToPolygonRDD(sparkSession.sparkContext, nycArealandmarkShapefileLocation) + var arealmRDD = ShapefileReader.readToPolygonRDD(sedona.sparkContext, nycArealandmarkShapefileLocation) // Prepare NYC taxi trips. Only use the taxi trips' pickup points - var tripDf = sparkSession.read.format("csv").option("delimiter",",").option("header","false").load(nyctripCSVLocation) + var tripDf = sedona.read.format("csv").option("delimiter",",").option("header","false").load(nyctripCSVLocation) // Convert from DataFrame to RDD. This can also be done directly through Sedona RDD API. tripDf.createOrReplaceTempView("tripdf") - var tripRDD = Adapter.toSpatialRdd(sparkSession.sql("select ST_Point(cast(tripdf._c0 as Decimal(24, 14)), cast(tripdf._c1 as Decimal(24, 14))) as point from tripdf") + var tripRDD = Adapter.toSpatialRdd(sedona.sql("select ST_Point(cast(tripdf._c0 as Decimal(24, 14)), cast(tripdf._c1 as Decimal(24, 14))) as point from tripdf") , "point") // Convert the Coordinate Reference System from degree-based to meter-based. This returns the accurate distance calculate. @@ -87,32 +63,24 @@ object ScalaExample extends App{ val frontImage = new ScatterPlot(imageResolutionX, imageResolutionY, arealmRDD.boundaryEnvelope, true) frontImage.CustomizeColor(0, 0, 0, 255, Color.GREEN, true) - frontImage.Visualize(sparkSession.sparkContext, arealmRDD) + frontImage.Visualize(sedona.sparkContext, arealmRDD) val backImage = new HeatMap(imageResolutionX, imageResolutionY, arealmRDD.boundaryEnvelope, true, 1) - backImage.Visualize(sparkSession.sparkContext, tripRDD) + backImage.Visualize(sedona.sparkContext, tripRDD) val overlayOperator = new RasterOverlayOperator(backImage.rasterImage) overlayOperator.JoinImage(frontImage.rasterImage) val imageGenerator = new ImageGenerator imageGenerator.SaveRasterImageAsLocalFile(overlayOperator.backRasterImage, colocationMapLocation, ImageType.PNG) - - sparkSession.stop() } - def calculateSpatialColocation(): Unit = + def calculateSpatialColocation(sedona: SparkSession): Unit = { - val sparkSession:SparkSession = SparkSession.builder().config("spark.serializer",classOf[KryoSerializer].getName). - config("spark.kryo.registrator", classOf[SedonaVizKryoRegistrator].getName). - master("local[*]").appName("Sedona-Analysis").getOrCreate() - - SedonaSQLRegistrator.registerAll(sparkSession) - SedonaVizRegistrator.registerAll(sparkSession) // Prepare NYC area landmarks which includes airports, museums, colleges, hospitals var arealmRDD = new SpatialRDD[Geometry]() - arealmRDD = ShapefileReader.readToGeometryRDD(sparkSession.sparkContext, nycArealandmarkShapefileLocation) + arealmRDD = ShapefileReader.readToGeometryRDD(sedona.sparkContext, nycArealandmarkShapefileLocation) // Use the center point of area landmarks to check co-location. This is required by Ripley's K function. arealmRDD.rawSpatialRDD = arealmRDD.rawSpatialRDD.rdd.map[Geometry](f=> { @@ -123,15 +91,15 @@ object ScalaExample extends App{ }) // The following two lines are optional. The purpose is to show the structure of the shapefile. - var arealmDf = Adapter.toDf(arealmRDD, sparkSession) + var arealmDf = Adapter.toDf(arealmRDD, sedona) arealmDf.show() // Prepare NYC taxi trips. Only use the taxi trips' pickup points - var tripDf = sparkSession.read.format("csv").option("delimiter",",").option("header","false").load(nyctripCSVLocation) + var tripDf = sedona.read.format("csv").option("delimiter",",").option("header","false").load(nyctripCSVLocation) tripDf.show() // Optional // Convert from DataFrame to RDD. This can also be done directly through Sedona RDD API. tripDf.createOrReplaceTempView("tripdf") - var tripRDD = Adapter.toSpatialRdd(sparkSession.sql("select ST_Point(cast(tripdf._c0 as Decimal(24, 14)), cast(tripdf._c1 as Decimal(24, 14))) as point, 'def' as trip_attr from tripdf") + var tripRDD = Adapter.toSpatialRdd(sedona.sql("select ST_Point(cast(tripdf._c0 as Decimal(24, 14)), cast(tripdf._c1 as Decimal(24, 14))) as point, 'def' as trip_attr from tripdf") , "point") // Convert the Coordinate Reference System from degree-based to meter-based. This returns the accurate distance calculate. @@ -163,13 +131,13 @@ object ScalaExample extends App{ var bufferedArealmRDD = new CircleRDD(arealmRDD,currentDistance) bufferedArealmRDD.spatialPartitioning(tripRDD.getPartitioner) -// Run Sedona Distance Join Query + // Run Sedona Distance Join Query var adjacentMatrix = JoinQuery.DistanceJoinQueryFlat(tripRDD, bufferedArealmRDD,true,true) -// Uncomment the following two lines if you want to see what the join result looks like in SparkSQL -// import scala.collection.JavaConversions._ -// var adjacentMatrixDf = Adapter.toDf(adjacentMatrix, arealmRDD.fieldNames, tripRDD.fieldNames, sparkSession) -// adjacentMatrixDf.show() + // Uncomment the following two lines if you want to see what the join result looks like in SparkSQL + // import scala.collection.JavaConversions._ + // var adjacentMatrixDf = Adapter.toDf(adjacentMatrix, arealmRDD.fieldNames, tripRDD.fieldNames, sparkSession) + // adjacentMatrixDf.show() var observedK = adjacentMatrix.count()*area*1.0/(arealmRDD.approximateTotalCount*tripRDD.approximateTotalCount) var observedL = Math.sqrt(observedK/Math.PI) @@ -179,7 +147,5 @@ object ScalaExample extends App{ println(s"""$currentDistance,$observedL,$colocationDifference,$colocationStatus""") } - sparkSession.stop() } - } diff --git a/examples/spark-sql/src/main/scala/ScalaExample.scala b/examples/spark-sql/src/main/scala/ScalaExample.scala deleted file mode 100644 index 9f23304f6d..0000000000 --- a/examples/spark-sql/src/main/scala/ScalaExample.scala +++ /dev/null @@ -1,153 +0,0 @@ -/* - * Licensed to the Apache Software Foundation (ASF) under one - * or more contributor license agreements. See the NOTICE file - * distributed with this work for additional information - * regarding copyright ownership. The ASF licenses this file - * to you under the Apache License, Version 2.0 (the - * "License"); you may not use this file except in compliance - * with the License. You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, - * software distributed under the License is distributed on an - * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY - * KIND, either express or implied. See the License for the - * specific language governing permissions and limitations - * under the License. - */ - -import org.apache.log4j.{Level, Logger} -import org.apache.sedona.core.formatMapper.shapefileParser.ShapefileReader -import org.apache.sedona.core.spatialRDD.SpatialRDD -import org.apache.sedona.core.utils.SedonaConf -import org.apache.sedona.sql.utils.{Adapter, SedonaSQLRegistrator} -import org.apache.sedona.viz.core.Serde.SedonaVizKryoRegistrator -import org.apache.sedona.viz.sql.utils.SedonaVizRegistrator -import org.apache.spark.serializer.KryoSerializer -import org.apache.spark.sql.SparkSession -import org.locationtech.jts.geom.{Coordinate, Geometry, GeometryFactory} - - -object ScalaExample extends App{ - Logger.getLogger("org").setLevel(Level.WARN) - Logger.getLogger("akka").setLevel(Level.WARN) - - var sparkSession:SparkSession = SparkSession.builder().config("spark.serializer",classOf[KryoSerializer].getName). - config("spark.kryo.registrator", classOf[SedonaVizKryoRegistrator].getName). - master("local[*]").appName("SedonaSQL-demo").getOrCreate() - - SedonaSQLRegistrator.registerAll(sparkSession) - SedonaVizRegistrator.registerAll(sparkSession) - - val resourceFolder = System.getProperty("user.dir")+"/src/test/resources/" - - val csvPolygonInputLocation = resourceFolder + "testenvelope.csv" - val csvPointInputLocation = resourceFolder + "testpoint.csv" - val shapefileInputLocation = resourceFolder + "shapefiles/dbf" - val rasterdatalocation = resourceFolder + "raster/" - - testPredicatePushdownAndRangeJonQuery() - testDistanceJoinQuery() - testAggregateFunction() - testShapefileConstructor() - testRasterIOAndMapAlgebra() - - System.out.println("All SedonaSQL DEMOs passed!") - - def testPredicatePushdownAndRangeJonQuery():Unit = - { - val sedonaConf = new SedonaConf(sparkSession.conf) - println(sedonaConf) - - var polygonCsvDf = sparkSession.read.format("csv").option("delimiter",",").option("header","false").load(csvPolygonInputLocation) - polygonCsvDf.createOrReplaceTempView("polygontable") - polygonCsvDf.show() - var polygonDf = sparkSession.sql("select ST_PolygonFromEnvelope(cast(polygontable._c0 as Decimal(24,20)),cast(polygontable._c1 as Decimal(24,20)), cast(polygontable._c2 as Decimal(24,20)), cast(polygontable._c3 as Decimal(24,20))) as polygonshape from polygontable") - polygonDf.createOrReplaceTempView("polygondf") - polygonDf.show() - - var pointCsvDF = sparkSession.read.format("csv").option("delimiter",",").option("header","false").load(csvPointInputLocation) - pointCsvDF.createOrReplaceTempView("pointtable") - pointCsvDF.show() - var pointDf = sparkSession.sql("select ST_Point(cast(pointtable._c0 as Decimal(24,20)),cast(pointtable._c1 as Decimal(24,20))) as pointshape from pointtable") - pointDf.createOrReplaceTempView("pointdf") - pointDf.show() - - var rangeJoinDf = sparkSession.sql("select * from polygondf, pointdf where ST_Contains(polygondf.polygonshape,pointdf.pointshape) " + - "and ST_Contains(ST_PolygonFromEnvelope(1.0,101.0,501.0,601.0), polygondf.polygonshape)") - - rangeJoinDf.explain() - rangeJoinDf.show(3) - assert (rangeJoinDf.count()==500) - } - - def testDistanceJoinQuery(): Unit = - { - val sedonaConf = new SedonaConf(sparkSession.conf) - println(sedonaConf) - - var pointCsvDF1 = sparkSession.read.format("csv").option("delimiter",",").option("header","false").load(csvPointInputLocation) - pointCsvDF1.createOrReplaceTempView("pointtable") - pointCsvDF1.show() - var pointDf1 = sparkSession.sql("select ST_Point(cast(pointtable._c0 as Decimal(24,20)),cast(pointtable._c1 as Decimal(24,20))) as pointshape1 from pointtable") - pointDf1.createOrReplaceTempView("pointdf1") - pointDf1.show() - - var pointCsvDF2 = sparkSession.read.format("csv").option("delimiter",",").option("header","false").load(csvPointInputLocation) - pointCsvDF2.createOrReplaceTempView("pointtable") - pointCsvDF2.show() - var pointDf2 = sparkSession.sql("select ST_Point(cast(pointtable._c0 as Decimal(24,20)),cast(pointtable._c1 as Decimal(24,20))) as pointshape2 from pointtable") - pointDf2.createOrReplaceTempView("pointdf2") - pointDf2.show() - - var distanceJoinDf = sparkSession.sql("select * from pointdf1, pointdf2 where ST_Distance(pointdf1.pointshape1,pointdf2.pointshape2) < 2") - distanceJoinDf.explain() - distanceJoinDf.show(10) - assert (distanceJoinDf.count()==2998) - } - - def testAggregateFunction(): Unit = - { - val sedonaConf = new SedonaConf(sparkSession.conf) - println(sedonaConf) - - var pointCsvDF = sparkSession.read.format("csv").option("delimiter",",").option("header","false").load(csvPointInputLocation) - pointCsvDF.createOrReplaceTempView("pointtable") - var pointDf = sparkSession.sql("select ST_Point(cast(pointtable._c0 as Decimal(24,20)), cast(pointtable._c1 as Decimal(24,20))) as arealandmark from pointtable") - pointDf.createOrReplaceTempView("pointdf") - var boundary = sparkSession.sql("select ST_Envelope_Aggr(pointdf.arealandmark) from pointdf") - val coordinates:Array[Coordinate] = new Array[Coordinate](5) - coordinates(0) = new Coordinate(1.1,101.1) - coordinates(1) = new Coordinate(1.1,1100.1) - coordinates(2) = new Coordinate(1000.1,1100.1) - coordinates(3) = new Coordinate(1000.1,101.1) - coordinates(4) = coordinates(0) - val geometryFactory = new GeometryFactory() - geometryFactory.createPolygon(coordinates) - assert(boundary.take(1)(0).get(0)==geometryFactory.createPolygon(coordinates)) - } - - def testShapefileConstructor(): Unit = - { - var spatialRDD = new SpatialRDD[Geometry] - spatialRDD = ShapefileReader.readToGeometryRDD(sparkSession.sparkContext, shapefileInputLocation) - var rawSpatialDf = Adapter.toDf(spatialRDD,sparkSession) - rawSpatialDf.createOrReplaceTempView("rawSpatialDf") - var spatialDf = sparkSession.sql(""" - | SELECT geometry, STATEFP, COUNTYFP - | FROM rawSpatialDf - """.stripMargin) - spatialDf.show() - spatialDf.printSchema() - } - - def testRasterIOAndMapAlgebra(): Unit = { - var df = sparkSession.read.format("geotiff").option("dropInvalid", true).load(rasterdatalocation) - df.printSchema() - df.selectExpr("image.origin as origin","ST_GeomFromWkt(image.geometry) as Geom", "image.height as height", "image.width as width", "image.data as data", "image.nBands as numBands").show() - df = df.selectExpr(" image.data as data", "image.nBands as numBands") - df = df.selectExpr("RS_GetBand(data, 1, numBands) as targetBand") - df.selectExpr("RS_MultiplyFactor(targetBand, 3) as multiply").show() - } -} diff --git a/examples/spark-sql/src/main/scala/SqlExample.scala b/examples/spark-sql/src/main/scala/SqlExample.scala new file mode 100644 index 0000000000..1da9248cd2 --- /dev/null +++ b/examples/spark-sql/src/main/scala/SqlExample.scala @@ -0,0 +1,128 @@ +/** + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +import Main.resourceFolder +import org.apache.sedona.core.formatMapper.shapefileParser.ShapefileReader +import org.apache.sedona.core.spatialRDD.SpatialRDD +import org.apache.sedona.core.utils.SedonaConf +import org.apache.sedona.sql.utils.Adapter +import org.apache.spark.sql.SparkSession +import org.locationtech.jts.geom.{Coordinate, Geometry, GeometryFactory} + + +object SqlExample { + + val csvPolygonInputLocation = resourceFolder + "testenvelope.csv" + val csvPointInputLocation = resourceFolder + "testpoint.csv" + val shapefileInputLocation = resourceFolder + "shapefiles/dbf" + val rasterdatalocation = resourceFolder + "raster/" + + def testPredicatePushdownAndRangeJonQuery(sedona: SparkSession):Unit = + { + val sedonaConf = new SedonaConf(sedona.conf) + println(sedonaConf) + + var polygonCsvDf = sedona.read.format("csv").option("delimiter",",").option("header","false").load(csvPolygonInputLocation) + polygonCsvDf.createOrReplaceTempView("polygontable") + polygonCsvDf.show() + var polygonDf = sedona.sql("select ST_PolygonFromEnvelope(cast(polygontable._c0 as Decimal(24,20)),cast(polygontable._c1 as Decimal(24,20)), cast(polygontable._c2 as Decimal(24,20)), cast(polygontable._c3 as Decimal(24,20))) as polygonshape from polygontable") + polygonDf.createOrReplaceTempView("polygondf") + polygonDf.show() + + var pointCsvDF = sedona.read.format("csv").option("delimiter",",").option("header","false").load(csvPointInputLocation) + pointCsvDF.createOrReplaceTempView("pointtable") + pointCsvDF.show() + var pointDf = sedona.sql("select ST_Point(cast(pointtable._c0 as Decimal(24,20)),cast(pointtable._c1 as Decimal(24,20))) as pointshape from pointtable") + pointDf.createOrReplaceTempView("pointdf") + pointDf.show() + + var rangeJoinDf = sedona.sql("select * from polygondf, pointdf where ST_Contains(polygondf.polygonshape,pointdf.pointshape) " + + "and ST_Contains(ST_PolygonFromEnvelope(1.0,101.0,501.0,601.0), polygondf.polygonshape)") + + // Write result to GeoParquet file + rangeJoinDf.write.format("geoparquet").mode("overwrite").save("target/test-classes/output/join.parquet") + rangeJoinDf.explain() + rangeJoinDf.show(3) + assert (rangeJoinDf.count()==500) + } + + def testDistanceJoinQuery(sedona: SparkSession): Unit = + { + val sedonaConf = new SedonaConf(sedona.conf) + println(sedonaConf) + + var pointCsvDF1 = sedona.read.format("csv").option("delimiter",",").option("header","false").load(csvPointInputLocation) + pointCsvDF1.createOrReplaceTempView("pointtable") + pointCsvDF1.show() + var pointDf1 = sedona.sql("select ST_Point(cast(pointtable._c0 as Decimal(24,20)),cast(pointtable._c1 as Decimal(24,20))) as pointshape1 from pointtable") + pointDf1.createOrReplaceTempView("pointdf1") + pointDf1.show() + + var pointCsvDF2 = sedona.read.format("csv").option("delimiter",",").option("header","false").load(csvPointInputLocation) + pointCsvDF2.createOrReplaceTempView("pointtable") + pointCsvDF2.show() + var pointDf2 = sedona.sql("select ST_Point(cast(pointtable._c0 as Decimal(24,20)),cast(pointtable._c1 as Decimal(24,20))) as pointshape2 from pointtable") + pointDf2.createOrReplaceTempView("pointdf2") + pointDf2.show() + + var distanceJoinDf = sedona.sql("select * from pointdf1, pointdf2 where ST_Distance(pointdf1.pointshape1,pointdf2.pointshape2) < 2") + distanceJoinDf.explain() + distanceJoinDf.show(10) + assert (distanceJoinDf.count()==2998) + } + + def testAggregateFunction(sedona: SparkSession): Unit = + { + val sedonaConf = new SedonaConf(sedona.conf) + println(sedonaConf) + + var pointCsvDF = sedona.read.format("csv").option("delimiter",",").option("header","false").load(csvPointInputLocation) + pointCsvDF.createOrReplaceTempView("pointtable") + var pointDf = sedona.sql("select ST_Point(cast(pointtable._c0 as Decimal(24,20)), cast(pointtable._c1 as Decimal(24,20))) as arealandmark from pointtable") + pointDf.createOrReplaceTempView("pointdf") + var boundary = sedona.sql("select ST_Envelope_Aggr(pointdf.arealandmark) from pointdf") + val coordinates:Array[Coordinate] = new Array[Coordinate](5) + coordinates(0) = new Coordinate(1.1,101.1) + coordinates(1) = new Coordinate(1.1,1100.1) + coordinates(2) = new Coordinate(1000.1,1100.1) + coordinates(3) = new Coordinate(1000.1,101.1) + coordinates(4) = coordinates(0) + val geometryFactory = new GeometryFactory() + geometryFactory.createPolygon(coordinates) + assert(boundary.take(1)(0).get(0)==geometryFactory.createPolygon(coordinates)) + } + + def testShapefileConstructor(sedona: SparkSession): Unit = + { + var spatialRDD = new SpatialRDD[Geometry] + spatialRDD = ShapefileReader.readToGeometryRDD(sedona.sparkContext, shapefileInputLocation) + var rawSpatialDf = Adapter.toDf(spatialRDD,sedona) + rawSpatialDf.createOrReplaceTempView("rawSpatialDf") + var spatialDf = sedona.sql(""" + | SELECT geometry, STATEFP, COUNTYFP + | FROM rawSpatialDf + """.stripMargin) + spatialDf.show() + spatialDf.printSchema() + } + + def testRasterIOAndMapAlgebra(sedona: SparkSession): Unit = { + var df = sedona.read.format("binaryFile").option("dropInvalid", true).load(rasterdatalocation).selectExpr("RS_FromGeoTiff(content) as raster", "path") + df.printSchema() + df.show() + df.selectExpr("RS_Metadata(raster) as metadata", "RS_GeoReference(raster) as georef", "RS_NumBands(raster) as numBands").show(false) + df.selectExpr("RS_AddBand(raster, raster, 1) as raster_extraband").show() + } +} diff --git a/examples/spark-sql/src/main/scala/VizExample.scala b/examples/spark-sql/src/main/scala/VizExample.scala new file mode 100644 index 0000000000..d0e1e498d6 --- /dev/null +++ b/examples/spark-sql/src/main/scala/VizExample.scala @@ -0,0 +1,139 @@ +/** + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +import Main.resourceFolder +import org.apache.sedona.common.enums.FileDataSplitter +import org.apache.sedona.core.enums.{GridType, IndexType} +import org.apache.sedona.core.spatialOperator.JoinQuery +import org.apache.sedona.core.spatialRDD.{PointRDD, PolygonRDD, RectangleRDD} +import org.apache.sedona.viz.core.{ImageGenerator, ImageSerializableWrapper, RasterOverlayOperator} +import org.apache.sedona.viz.extension.visualizationEffect.{ChoroplethMap, HeatMap, ScatterPlot} +import org.apache.sedona.viz.utils.ImageType +import org.apache.spark.sql.SparkSession +import org.locationtech.jts.geom.Envelope + +import java.awt.Color + + +object VizExample { + + val demoOutputPath = "target/demo" + + val scatterPlotOutputPath = System.getProperty("user.dir") + "/" + demoOutputPath + "/scatterplot" + val heatMapOutputPath = System.getProperty("user.dir") + "/" + demoOutputPath + "/heatmap" + val choroplethMapOutputPath = System.getProperty("user.dir") + "/" + demoOutputPath + "/choroplethmap" + val parallelFilterRenderOutputPath = System.getProperty("user.dir") + "/" + demoOutputPath + "/parallelfilterrender-heatmap" + val sqlApiOutputPath = System.getProperty("user.dir") + "/" + demoOutputPath + "/sql-heatmap" + + val PointInputLocation = resourceFolder + "arealm.csv" + val PointOffset = 0 + val PointSplitter = FileDataSplitter.CSV + val PointNumPartitions = 5 + + val RectangleInputLocation = resourceFolder + "zcta510.csv" + val RectangleSplitter = FileDataSplitter.CSV + val RectangleNumPartitions = 5 + + val PolygonInputLocation = resourceFolder + "primaryroads-polygon.csv" + val PolygonSplitter = FileDataSplitter.CSV + val PolygonNumPartitions = 5 + val USMainLandBoundary = new Envelope(-126.790180, -64.630926, 24.863836, 50.000) + + def buildScatterPlot(sedona: SparkSession): Boolean = { + val spatialRDD = new PolygonRDD(sedona.sparkContext, PolygonInputLocation, PolygonSplitter, false, PolygonNumPartitions) + var visualizationOperator = new ScatterPlot(1000, 600, USMainLandBoundary, false) + visualizationOperator.CustomizeColor(255, 255, 255, 255, Color.GREEN, true) + visualizationOperator.Visualize(sedona.sparkContext, spatialRDD) + var imageGenerator = new ImageGenerator + imageGenerator.SaveRasterImageAsLocalFile(visualizationOperator.rasterImage, scatterPlotOutputPath, ImageType.PNG) + true + } + + def buildHeatMap(sedona: SparkSession): Boolean = { + val spatialRDD = new RectangleRDD(sedona.sparkContext, RectangleInputLocation, RectangleSplitter, false, RectangleNumPartitions) + val visualizationOperator = new HeatMap(1000, 600, USMainLandBoundary, false, 2) + visualizationOperator.Visualize(sedona.sparkContext, spatialRDD) + val imageGenerator = new ImageGenerator + imageGenerator.SaveRasterImageAsLocalFile(visualizationOperator.rasterImage, heatMapOutputPath, ImageType.PNG) + true + } + + + def buildChoroplethMap(sedona: SparkSession): Boolean = { + val spatialRDD = new PointRDD(sedona.sparkContext, PointInputLocation, PointOffset, PointSplitter, false, PointNumPartitions) + val queryRDD = new PolygonRDD(sedona.sparkContext, PolygonInputLocation, PolygonSplitter, false, PolygonNumPartitions) + spatialRDD.spatialPartitioning(GridType.KDBTREE) + queryRDD.spatialPartitioning(spatialRDD.getPartitioner) + spatialRDD.buildIndex(IndexType.QUADTREE, true) + val joinResult = JoinQuery.SpatialJoinQueryCountByKey(spatialRDD, queryRDD, true, false) + val visualizationOperator = new ChoroplethMap(1000, 600, USMainLandBoundary, false) + visualizationOperator.CustomizeColor(255, 255, 255, 255, Color.RED, true) + visualizationOperator.Visualize(sedona.sparkContext, joinResult) + val frontImage = new ScatterPlot(1000, 600, USMainLandBoundary, false) + frontImage.CustomizeColor(0, 0, 0, 255, Color.GREEN, true) + frontImage.Visualize(sedona.sparkContext, queryRDD) + val overlayOperator = new RasterOverlayOperator(visualizationOperator.rasterImage) + overlayOperator.JoinImage(frontImage.rasterImage) + val imageGenerator = new ImageGenerator + imageGenerator.SaveRasterImageAsLocalFile(overlayOperator.backRasterImage, choroplethMapOutputPath, ImageType.PNG) + true + } + + def parallelFilterRenderNoStitch(sedona: SparkSession): Boolean = { + val spatialRDD = new RectangleRDD(sedona.sparkContext, RectangleInputLocation, RectangleSplitter, false, RectangleNumPartitions) + val visualizationOperator = new HeatMap(1000, 600, USMainLandBoundary, false, 2, 4, 4, true, true) + visualizationOperator.Visualize(sedona.sparkContext, spatialRDD) + val imageGenerator = new ImageGenerator + imageGenerator.SaveRasterImageAsLocalFile(visualizationOperator.distributedRasterImage, parallelFilterRenderOutputPath, ImageType.PNG) + true + } + + def sqlApiVisualization(sedona: SparkSession): Boolean = { + var pointDf = sedona.read.format("csv").option("delimiter", ",").option("header", "false").load(PointInputLocation) + pointDf.selectExpr("ST_Point(cast(_c0 as Decimal(24,20)),cast(_c1 as Decimal(24,20))) as shape") + .filter("ST_Contains(ST_PolygonFromEnvelope(-126.790180,24.863836,-64.630926,50.000),shape)").createOrReplaceTempView("pointtable") + sedona.sql( + """ + |CREATE OR REPLACE TEMP VIEW pixels AS + |SELECT pixel, shape FROM pointtable + |LATERAL VIEW Explode(ST_Pixelize(shape, 256, 256, ST_PolygonFromEnvelope(-126.790180,24.863836,-64.630926,50.000))) AS pixel + """.stripMargin) + sedona.sql( + """ + |CREATE OR REPLACE TEMP VIEW pixelaggregates AS + |SELECT pixel, count(*) as weight + |FROM pixels + |GROUP BY pixel + """.stripMargin) + sedona.sql( + """ + |CREATE OR REPLACE TEMP VIEW images AS + |SELECT ST_Render(pixel, ST_Colorize(weight, (SELECT max(weight) FROM pixelaggregates), 'red')) AS image + |FROM pixelaggregates + """.stripMargin) + var image = sedona.table("images").take(1)(0)(0).asInstanceOf[ImageSerializableWrapper].getImage + var imageGenerator = new ImageGenerator + imageGenerator.SaveRasterImageAsLocalFile(image, sqlApiOutputPath, ImageType.PNG) + sedona.sql( + """ + |CREATE OR REPLACE TEMP VIEW imagestring AS + |SELECT ST_EncodeImage(image) + |FROM images + """.stripMargin) + sedona.table("imagestring").show() + true + } + +} diff --git a/examples/spark-viz/src/test/resources/arealm.csv b/examples/spark-sql/src/test/resources/arealm.csv similarity index 95% rename from examples/spark-viz/src/test/resources/arealm.csv rename to examples/spark-sql/src/test/resources/arealm.csv index 30121a986c..4ca3945592 100644 --- a/examples/spark-viz/src/test/resources/arealm.csv +++ b/examples/spark-sql/src/test/resources/arealm.csv @@ -121957,4 +121957,4 @@ -64.876463,18.360521 -64.703536,17.748556 -64.749334,17.787033 --64.655374,17.765658 +-64.655374,17.765658 \ No newline at end of file diff --git a/examples/spark-sql/src/test/resources/nyc-area-landmark-shapefile/nyu_2451_34514.cst b/examples/spark-sql/src/test/resources/nyc-area-landmark-shapefile/nyu_2451_34514.cst new file mode 100755 index 0000000000..cd89cb9758 --- /dev/null +++ b/examples/spark-sql/src/test/resources/nyc-area-landmark-shapefile/nyu_2451_34514.cst @@ -0,0 +1 @@ +ISO-8859-1 \ No newline at end of file diff --git a/examples/spark-rdd-colocation-mining/src/test/resources/nyc-area-landmark-shapefile/nyu_2451_34514.dbf b/examples/spark-sql/src/test/resources/nyc-area-landmark-shapefile/nyu_2451_34514.dbf similarity index 100% rename from examples/spark-rdd-colocation-mining/src/test/resources/nyc-area-landmark-shapefile/nyu_2451_34514.dbf rename to examples/spark-sql/src/test/resources/nyc-area-landmark-shapefile/nyu_2451_34514.dbf diff --git a/examples/spark-rdd-colocation-mining/src/test/resources/nyc-area-landmark-shapefile/nyu_2451_34514.prj b/examples/spark-sql/src/test/resources/nyc-area-landmark-shapefile/nyu_2451_34514.prj similarity index 95% rename from examples/spark-rdd-colocation-mining/src/test/resources/nyc-area-landmark-shapefile/nyu_2451_34514.prj rename to examples/spark-sql/src/test/resources/nyc-area-landmark-shapefile/nyu_2451_34514.prj index ab893f5fad..60bfa86202 100755 --- a/examples/spark-rdd-colocation-mining/src/test/resources/nyc-area-landmark-shapefile/nyu_2451_34514.prj +++ b/examples/spark-sql/src/test/resources/nyc-area-landmark-shapefile/nyu_2451_34514.prj @@ -1 +1 @@ -GEOGCS["WGS 84", DATUM["World Geodetic System 1984", SPHEROID["WGS 84", 6378137.0, 298.257223563, AUTHORITY["EPSG","7030"]], AUTHORITY["EPSG","6326"]], PRIMEM["Greenwich", 0.0, AUTHORITY["EPSG","8901"]], UNIT["degree", 0.017453292519943295], AXIS["Geodetic longitude", EAST], AXIS["Geodetic latitude", NORTH], AUTHORITY["EPSG","4326"]] +GEOGCS["WGS 84", DATUM["World Geodetic System 1984", SPHEROID["WGS 84", 6378137.0, 298.257223563, AUTHORITY["EPSG","7030"]], AUTHORITY["EPSG","6326"]], PRIMEM["Greenwich", 0.0, AUTHORITY["EPSG","8901"]], UNIT["degree", 0.017453292519943295], AXIS["Geodetic longitude", EAST], AXIS["Geodetic latitude", NORTH], AUTHORITY["EPSG","4326"]] \ No newline at end of file diff --git a/examples/spark-rdd-colocation-mining/src/test/resources/nyc-area-landmark-shapefile/nyu_2451_34514.shp b/examples/spark-sql/src/test/resources/nyc-area-landmark-shapefile/nyu_2451_34514.shp similarity index 100% rename from examples/spark-rdd-colocation-mining/src/test/resources/nyc-area-landmark-shapefile/nyu_2451_34514.shp rename to examples/spark-sql/src/test/resources/nyc-area-landmark-shapefile/nyu_2451_34514.shp diff --git a/examples/spark-rdd-colocation-mining/src/test/resources/nyc-area-landmark-shapefile/nyu_2451_34514.shx b/examples/spark-sql/src/test/resources/nyc-area-landmark-shapefile/nyu_2451_34514.shx similarity index 100% rename from examples/spark-rdd-colocation-mining/src/test/resources/nyc-area-landmark-shapefile/nyu_2451_34514.shx rename to examples/spark-sql/src/test/resources/nyc-area-landmark-shapefile/nyu_2451_34514.shx diff --git a/examples/spark-rdd-colocation-mining/src/test/resources/nyc-area-landmark-shapefile/wfsrequest.txt b/examples/spark-sql/src/test/resources/nyc-area-landmark-shapefile/wfsrequest.txt similarity index 74% rename from examples/spark-rdd-colocation-mining/src/test/resources/nyc-area-landmark-shapefile/wfsrequest.txt rename to examples/spark-sql/src/test/resources/nyc-area-landmark-shapefile/wfsrequest.txt index be6a21c842..6a217b7d81 100755 --- a/examples/spark-rdd-colocation-mining/src/test/resources/nyc-area-landmark-shapefile/wfsrequest.txt +++ b/examples/spark-sql/src/test/resources/nyc-area-landmark-shapefile/wfsrequest.txt @@ -1 +1 @@ -https://maps-public.geo.nyu.edu:443/geoserver/sdr/wfs?outputformat=SHAPE-ZIP&request=GetFeature&service=wfs&srsName=EPSG%3A4326&typeName=sdr%3Anyu_2451_34514&version=2.0.0 +https://maps-public.geo.nyu.edu:443/geoserver/sdr/wfs?outputformat=SHAPE-ZIP&request=GetFeature&service=wfs&srsName=EPSG%3A4326&typeName=sdr%3Anyu_2451_34514&version=2.0.0 \ No 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See the NOTICE file - * distributed with this work for additional information - * regarding copyright ownership. The ASF licenses this file - * to you under the Apache License, Version 2.0 (the - * "License"); you may not use this file except in compliance - * with the License. You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, - * software distributed under the License is distributed on an - * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY - * KIND, either express or implied. See the License for the - * specific language governing permissions and limitations - * under the License. - */ - -import sbt.Keys.{libraryDependencies, version} - - -lazy val root = (project in file(".")). - settings( - name := "SedonaVizTemplate", - - version := "0.1.0", - - scalaVersion := "2.12.11", - - organization := "org.apache.sedona", - - publishMavenStyle := true - ) - -val SparkVersion = "3.3.1" - -val SparkCompatibleVersion = "3.0" - -val HadoopVersion = "2.7.2" - -val SedonaVersion = "1.4.0" - -val ScalaCompatibleVersion = "2.12" - -// Change the dependency scope to "provided" when you run "sbt assembly" -val dependencyScope = "compile" - -val geotoolsVersion = "1.4.0-28.2" - -//val jacksonVersion = "2.10.0" - -logLevel := Level.Warn - -logLevel in assembly := Level.Error - -libraryDependencies ++= Seq( -// "com.fasterxml.jackson.core" % "jackson-databind" % jacksonVersion % dependencyScope, -// "com.fasterxml.jackson.core" % "jackson-core" % jacksonVersion % dependencyScope, - "org.apache.spark" %% "spark-core" % SparkVersion % dependencyScope exclude("org.apache.hadoop", "*"), - "org.apache.spark" %% "spark-sql" % SparkVersion % dependencyScope exclude("org.apache.hadoop", "*"), - "org.apache.hadoop" % "hadoop-mapreduce-client-core" % HadoopVersion % dependencyScope, - "org.apache.hadoop" % "hadoop-common" % HadoopVersion % dependencyScope, - "org.apache.hadoop" % "hadoop-hdfs" % HadoopVersion % dependencyScope, - "org.apache.sedona" % "sedona-spark-shaded-".concat(SparkCompatibleVersion).concat("_").concat(ScalaCompatibleVersion) % SedonaVersion changing(), - "org.apache.sedona" % "sedona-viz-".concat(SparkCompatibleVersion).concat("_").concat(ScalaCompatibleVersion) % SedonaVersion changing(), - // The following GeoTools packages are only required if you need CRS transformation. Under GNU Lesser General Public License (LGPL) license - "org.datasyslab" % "geotools-wrapper" % geotoolsVersion % "compile" -) - -assemblyMergeStrategy in assembly := { - case PathList("org.apache.sedona", "sedona-core", xs@_*) => MergeStrategy.first - case PathList("META-INF", "MANIFEST.MF") => MergeStrategy.discard - case PathList("META-INF","services",xs @ _*) => MergeStrategy.filterDistinctLines - case path if path.endsWith(".SF") => MergeStrategy.discard - case path if path.endsWith(".DSA") => MergeStrategy.discard - case path if path.endsWith(".RSA") => MergeStrategy.discard - case _ => MergeStrategy.first -} - -resolvers ++= Seq( - "Maven Central" at "https://repo.maven.apache.org/maven2/", - "Open Source Geospatial Foundation Repository" at "https://repo.osgeo.org/repository/release/", - "Apache Software Foundation Snapshots" at "https://repository.apache.org/content/groups/snapshots", - "Java.net repository" at "https://download.java.net/maven/2" -) diff --git a/examples/spark-viz/project/.gitignore b/examples/spark-viz/project/.gitignore deleted file mode 100644 index 6a60ed534c..0000000000 --- a/examples/spark-viz/project/.gitignore +++ /dev/null @@ -1,2 +0,0 @@ -/target/ -/project/ diff --git a/examples/spark-viz/project/build.properties b/examples/spark-viz/project/build.properties deleted file mode 100644 index 7a7e80d6d2..0000000000 --- a/examples/spark-viz/project/build.properties +++ /dev/null @@ -1 +0,0 @@ -sbt.version = 1.5.5 diff --git a/examples/spark-viz/project/plugins.sbt b/examples/spark-viz/project/plugins.sbt deleted file mode 100644 index 7bc4622d2c..0000000000 --- a/examples/spark-viz/project/plugins.sbt +++ /dev/null @@ -1 +0,0 @@ -addSbtPlugin("com.eed3si9n" % "sbt-assembly" % "1.1.0") diff --git a/examples/spark-viz/src/main/scala/ScalaExample.scala b/examples/spark-viz/src/main/scala/ScalaExample.scala deleted file mode 100644 index 4c78428b20..0000000000 --- a/examples/spark-viz/src/main/scala/ScalaExample.scala +++ /dev/null @@ -1,223 +0,0 @@ -/* - * Licensed to the Apache Software Foundation (ASF) under one - * or more contributor license agreements. See the NOTICE file - * distributed with this work for additional information - * regarding copyright ownership. The ASF licenses this file - * to you under the Apache License, Version 2.0 (the - * "License"); you may not use this file except in compliance - * with the License. You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, - * software distributed under the License is distributed on an - * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY - * KIND, either express or implied. See the License for the - * specific language governing permissions and limitations - * under the License. - */ - -import org.apache.log4j.{Level, Logger} -import org.apache.sedona.core.enums.{FileDataSplitter, GridType, IndexType} -import org.apache.sedona.core.spatialOperator.JoinQuery -import org.apache.sedona.core.spatialRDD.{PointRDD, PolygonRDD, RectangleRDD} -import org.apache.sedona.sql.utils.SedonaSQLRegistrator -import org.apache.sedona.viz.core.Serde.SedonaVizKryoRegistrator -import org.apache.sedona.viz.core.{ImageGenerator, ImageSerializableWrapper, RasterOverlayOperator} -import org.apache.sedona.viz.extension.visualizationEffect.{ChoroplethMap, HeatMap, ScatterPlot} -import org.apache.sedona.viz.sql.utils.SedonaVizRegistrator -import org.apache.sedona.viz.utils.{ColorizeOption, ImageType} -import org.apache.spark.serializer.KryoSerializer -import org.apache.spark.sql.SQLContext -import org.apache.spark.storage.StorageLevel -import org.apache.spark.{SparkConf, SparkContext} -import org.locationtech.jts.geom.Envelope - -import java.awt.Color -import java.io.FileInputStream -import java.util.Properties - - -object ScalaExample extends App{ - Logger.getLogger("org").setLevel(Level.WARN) - Logger.getLogger("akka").setLevel(Level.WARN) - - val sparkConf = new SparkConf().setAppName("SedonaVizDemo").set("spark.serializer", classOf[KryoSerializer].getName) - .set("spark.kryo.registrator", classOf[SedonaVizKryoRegistrator].getName) - .setMaster("local[*]") - val sparkContext = new SparkContext(sparkConf) - - val prop = new Properties() - val resourcePath = "src/test/resources/" - val demoOutputPath = "target/demo" - var ConfFile = new FileInputStream(resourcePath + "babylon.point.properties") - prop.load(ConfFile) - val scatterPlotOutputPath = System.getProperty("user.dir") + "/" + demoOutputPath + "/scatterplot" - val heatMapOutputPath = System.getProperty("user.dir") + "/" + demoOutputPath + "/heatmap" - val choroplethMapOutputPath = System.getProperty("user.dir") + "/" + demoOutputPath + "/choroplethmap" - val parallelFilterRenderOutputPath = System.getProperty("user.dir") + "/" + demoOutputPath + "/parallelfilterrender-heatmap" - val earthdataScatterPlotOutputPath = System.getProperty("user.dir") + "/" + demoOutputPath + "/earthdatascatterplot" - val sqlApiOutputPath = System.getProperty("user.dir") + "/" + demoOutputPath + "/sql-heatmap" - - val PointInputLocation = "file://" + System.getProperty("user.dir") + "/" + resourcePath + prop.getProperty("inputLocation") - val PointOffset = prop.getProperty("offset").toInt - val PointSplitter = FileDataSplitter.getFileDataSplitter(prop.getProperty("splitter")) - val PointNumPartitions = prop.getProperty("numPartitions").toInt - ConfFile = new FileInputStream(resourcePath + "babylon.rectangle.properties") - prop.load(ConfFile) - val RectangleInputLocation = "file://" + System.getProperty("user.dir") + "/" + resourcePath + prop.getProperty("inputLocation") - val RectangleOffset = prop.getProperty("offset").toInt - val RectangleSplitter = FileDataSplitter.getFileDataSplitter(prop.getProperty("splitter")) - val RectangleNumPartitions = prop.getProperty("numPartitions").toInt - ConfFile = new FileInputStream(resourcePath + "babylon.polygon.properties") - prop.load(ConfFile) - val PolygonInputLocation = "file://" + System.getProperty("user.dir") + "/" + resourcePath + prop.getProperty("inputLocation") - val PolygonOffset = prop.getProperty("offset").toInt - val PolygonSplitter = FileDataSplitter.getFileDataSplitter(prop.getProperty("splitter")) - val PolygonNumPartitions = prop.getProperty("numPartitions").toInt - val USMainLandBoundary = new Envelope(-126.790180, -64.630926, 24.863836, 50.000) -// val earthdataInputLocation = System.getProperty("user.dir") + "/src/test/resources/modis/modis.csv" -// val earthdataNumPartitions = 5 -// val HDFIncrement = 5 -// val HDFOffset = 2 -// val HDFRootGroupName = "MOD_Swath_LST" -// val HDFDataVariableName = "LST" -// val HDFDataVariableList = Array("LST", "QC", "Error_LST", "Emis_31", "Emis_32") -// val HDFswitchXY = true -// val urlPrefix = System.getProperty("user.dir") + "/src/test/resources/modis/" - - if (buildScatterPlot(scatterPlotOutputPath) - && buildHeatMap(heatMapOutputPath) - && buildChoroplethMap(choroplethMapOutputPath) - && parallelFilterRenderNoStitch(parallelFilterRenderOutputPath) -// && earthdataVisualization(earthdataScatterPlotOutputPath) - && sqlApiVisualization(sqlApiOutputPath)) - System.out.println("All SedonaViz Demos have passed.") - else System.out.println("SedonaViz Demos failed.") - - /** - * Builds the scatter plot. - * - * @param outputPath the output path - * @return true, if successful - */ - def buildScatterPlot(outputPath: String): Boolean = { - val spatialRDD = new PolygonRDD(sparkContext, PolygonInputLocation, PolygonSplitter, false, PolygonNumPartitions) - var visualizationOperator = new ScatterPlot(1000, 600, USMainLandBoundary, false) - visualizationOperator.CustomizeColor(255, 255, 255, 255, Color.GREEN, true) - visualizationOperator.Visualize(sparkContext, spatialRDD) - var imageGenerator = new ImageGenerator - imageGenerator.SaveRasterImageAsLocalFile(visualizationOperator.rasterImage, outputPath, ImageType.PNG) - true - } - - /** - * Builds the heat map. - * - * @param outputPath the output path - * @return true, if successful - */ - def buildHeatMap(outputPath: String): Boolean = { - val spatialRDD = new RectangleRDD(sparkContext, RectangleInputLocation, RectangleSplitter, false, RectangleNumPartitions, StorageLevel.MEMORY_ONLY) - val visualizationOperator = new HeatMap(1000, 600, USMainLandBoundary, false, 2) - visualizationOperator.Visualize(sparkContext, spatialRDD) - val imageGenerator = new ImageGenerator - imageGenerator.SaveRasterImageAsLocalFile(visualizationOperator.rasterImage, outputPath, ImageType.PNG) - true - } - - /** - * Builds the choropleth map. - * - * @param outputPath the output path - * @return true, if successful - */ - def buildChoroplethMap(outputPath: String): Boolean = { - val spatialRDD = new PointRDD(sparkContext, PointInputLocation, PointOffset, PointSplitter, false, PointNumPartitions, StorageLevel.MEMORY_ONLY) - val queryRDD = new PolygonRDD(sparkContext, PolygonInputLocation, PolygonSplitter, false, PolygonNumPartitions, StorageLevel.MEMORY_ONLY) - spatialRDD.spatialPartitioning(GridType.KDBTREE) - queryRDD.spatialPartitioning(spatialRDD.getPartitioner) - spatialRDD.buildIndex(IndexType.QUADTREE, true) - val joinResult = JoinQuery.SpatialJoinQueryCountByKey(spatialRDD, queryRDD, true, false) - val visualizationOperator = new ChoroplethMap(1000, 600, USMainLandBoundary, false) - visualizationOperator.CustomizeColor(255, 255, 255, 255, Color.RED, true) - visualizationOperator.Visualize(sparkContext, joinResult) - val frontImage = new ScatterPlot(1000, 600, USMainLandBoundary, false) - frontImage.CustomizeColor(0, 0, 0, 255, Color.GREEN, true) - frontImage.Visualize(sparkContext, queryRDD) - val overlayOperator = new RasterOverlayOperator(visualizationOperator.rasterImage) - overlayOperator.JoinImage(frontImage.rasterImage) - val imageGenerator = new ImageGenerator - imageGenerator.SaveRasterImageAsLocalFile(overlayOperator.backRasterImage, outputPath, ImageType.PNG) - true - } - - /** - * Parallel filter render no stitch. - * - * @param outputPath the output path - * @return true, if successful - */ - def parallelFilterRenderNoStitch(outputPath: String): Boolean = { - val spatialRDD = new RectangleRDD(sparkContext, RectangleInputLocation, RectangleSplitter, false, RectangleNumPartitions, StorageLevel.MEMORY_ONLY) - val visualizationOperator = new HeatMap(1000, 600, USMainLandBoundary, false, 2, 4, 4, true, true) - visualizationOperator.Visualize(sparkContext, spatialRDD) - val imageGenerator = new ImageGenerator - imageGenerator.SaveRasterImageAsLocalFile(visualizationOperator.distributedRasterImage, outputPath, ImageType.PNG) - true - } - -// def earthdataVisualization(outputPath: String): Boolean = { -// val earthdataHDFPoint = new EarthdataHDFPointMapper(HDFIncrement, HDFOffset, HDFRootGroupName, -// HDFDataVariableList, HDFDataVariableName, HDFswitchXY, urlPrefix) -// val spatialRDD = new PointRDD(sparkContext, earthdataInputLocation, earthdataNumPartitions, earthdataHDFPoint, StorageLevel.MEMORY_ONLY) -// val visualizationOperator = new ScatterPlot(1000, 600, spatialRDD.boundaryEnvelope, ColorizeOption.EARTHOBSERVATION, false, false) -// visualizationOperator.CustomizeColor(255, 255, 255, 255, Color.BLUE, true) -// visualizationOperator.Visualize(sparkContext, spatialRDD) -// val imageGenerator = new ImageGenerator -// imageGenerator.SaveRasterImageAsLocalFile(visualizationOperator.rasterImage, outputPath, ImageType.PNG) -// true -// } - - def sqlApiVisualization(outputPath: String): Boolean = { - val sqlContext = new SQLContext(sparkContext) - val spark = sqlContext.sparkSession - SedonaSQLRegistrator.registerAll(spark) - SedonaVizRegistrator.registerAll(spark) - var pointDf = spark.read.format("csv").option("delimiter", ",").option("header", "false").load(PointInputLocation) - pointDf.selectExpr("ST_Point(cast(_c0 as Decimal(24,20)),cast(_c1 as Decimal(24,20))) as shape") - .filter("ST_Contains(ST_PolygonFromEnvelope(-126.790180,24.863836,-64.630926,50.000),shape)").createOrReplaceTempView("pointtable") - spark.sql( - """ - |CREATE OR REPLACE TEMP VIEW pixels AS - |SELECT pixel, shape FROM pointtable - |LATERAL VIEW Explode(ST_Pixelize(shape, 256, 256, ST_PolygonFromEnvelope(-126.790180,24.863836,-64.630926,50.000))) AS pixel - """.stripMargin) - spark.sql( - """ - |CREATE OR REPLACE TEMP VIEW pixelaggregates AS - |SELECT pixel, count(*) as weight - |FROM pixels - |GROUP BY pixel - """.stripMargin) - spark.sql( - """ - |CREATE OR REPLACE TEMP VIEW images AS - |SELECT ST_Render(pixel, ST_Colorize(weight, (SELECT max(weight) FROM pixelaggregates), 'red')) AS image - |FROM pixelaggregates - """.stripMargin) - var image = spark.table("images").take(1)(0)(0).asInstanceOf[ImageSerializableWrapper].getImage - var imageGenerator = new ImageGenerator - imageGenerator.SaveRasterImageAsLocalFile(image, outputPath, ImageType.PNG) - spark.sql( - """ - |CREATE OR REPLACE TEMP VIEW imagestring AS - |SELECT ST_EncodeImage(image) - |FROM images - """.stripMargin) - spark.table("imagestring").show() - true - } - - -} diff --git a/examples/spark-viz/src/test/resources/babylon.point.properties b/examples/spark-viz/src/test/resources/babylon.point.properties deleted file mode 100644 index 4650062d6b..0000000000 --- a/examples/spark-viz/src/test/resources/babylon.point.properties +++ /dev/null @@ -1,9 +0,0 @@ -inputLocation=arealm.csv -queryWindowSet=zcta510-small.csv -offset=0 -splitter=csv -gridType=rtree -indexType=rtree -numPartitions=5 -distance=0.01 -queryPolygonSet=primaryroads-polygon.csv diff --git a/examples/spark-viz/src/test/resources/babylon.polygon.properties b/examples/spark-viz/src/test/resources/babylon.polygon.properties deleted file mode 100644 index c04e38f666..0000000000 --- a/examples/spark-viz/src/test/resources/babylon.polygon.properties +++ /dev/null @@ -1,9 +0,0 @@ -inputLocation=primaryroads-polygon.csv -queryWindowSet=zcta510-small.csv -offset=0 -splitter=csv -gridType=rtree -indexType=rtree -numPartitions=5 -distance=0.01 -queryPolygonSet=primaryroads-polygon.csv diff --git a/examples/spark-viz/src/test/resources/babylon.rectangle.properties b/examples/spark-viz/src/test/resources/babylon.rectangle.properties deleted file mode 100644 index 42db2a9fdf..0000000000 --- a/examples/spark-viz/src/test/resources/babylon.rectangle.properties +++ /dev/null @@ -1,9 +0,0 @@ -inputLocation=zcta510.csv -queryWindowSet=zcta510-small.csv -offset=0 -splitter=csv -gridType=rtree -indexType=rtree -numPartitions=5 -distance=0.01 -queryPolygonSet=primaryroads-polygon.csv

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