[DOCS] Upgrade GitHub Action to Ubuntu 22.04

.github/workflows/docs.yml

@@ -9,7 +9,7 @@ on:
 
 jobs:
   build:
-    runs-on: ubuntu-18.04
+    runs-on: ubuntu-22.04
     steps:
     - uses: actions/checkout@v2
       with:

.github/workflows/example.yml

@@ -10,7 +10,7 @@ on:
 jobs:
   build:
 
-    runs-on: ubuntu-18.04
+    runs-on: ubuntu-22.04
 
     steps:
     - uses: actions/checkout@v2

.github/workflows/java.yml

@@ -11,7 +11,7 @@ on:
 jobs:
   build:
 
-    runs-on: ubuntu-18.04
+    runs-on: ubuntu-22.04
     strategy:
       fail-fast: true
       matrix:
@@ -27,7 +27,7 @@ jobs:
           - spark: 3.3.0
             scala: 2.12.15
             jdk: '11'
-            skipTests: '-DskipTests'            
+            skipTests: ''
           - spark: 3.2.3
             scala: 2.12.15
             jdk: '8'
@@ -55,18 +55,17 @@ jobs:
         path: ~/.m2
         key: ${{ runner.os }}-m2-${{ hashFiles('**/pom.xml') }}
         restore-keys: ${{ runner.os }}-m2
-    - run: git submodule update --init --recursive # Checkout Git submodule if necessary
     - env:
         SPARK_VERSION: ${{ matrix.spark }}
         SCALA_VERSION: ${{ matrix.scala }}
         SKIP_TESTS: ${{ matrix.skipTests }}
       run: mvn -q clean install -Dscala=${SCALA_VERSION:0:4} -Dspark.version=${SPARK_VERSION} ${SKIP_TESTS}
     - run: mkdir staging
-    - run: cp core/target/sedona-*.jar staging
-    - run: cp sql/target/sedona-*.jar staging
     - run: cp viz/target/sedona-*.jar staging
-    - run: cp python-adapter/target/sedona-*.jar staging
+    - run: cp spark-shaded/target/sedona-*.jar staging
+    - run: |
+        [ -d "flink-shaded/target/" ] && cp flink-shaded/target/sedona-*.jar staging 2>/dev/null || true
     - uses: actions/upload-artifact@v2
       with:
         name: generated-jars
-        path: staging
+        path: staging

.github/workflows/python.yml

@@ -11,7 +11,7 @@ on:
 jobs:
   build:
 
-    runs-on: ubuntu-18.04
+    runs-on: ubuntu-22.04
     strategy:
       matrix:
         include:
@@ -58,7 +58,6 @@ jobs:
         path: ~/.m2
         key: ${{ runner.os }}-m2-${{ hashFiles('**/pom.xml') }}
         restore-keys: ${{ runner.os }}-m2
-    - run: git submodule update --init --recursive # Checkout Git submodule if necessary
     - env:
         SPARK_VERSION: ${{ matrix.spark }}
         SCALA_VERSION: ${{ matrix.scala }}
@@ -71,7 +70,7 @@ jobs:
         SPARK_VERSION: ${{ matrix.spark }}
         HADOOP_VERSION: ${{ matrix.hadoop }}
       run: tar -xzf spark-${SPARK_VERSION}-bin-hadoop${HADOOP_VERSION}.tgz
-    - run: sudo apt-get -y install python3-pip python-dev
+    - run: sudo apt-get -y install python3-pip python-dev-is-python3
     - run: sudo pip3 install -U setuptools
     - run: sudo pip3 install -U wheel
     - run: sudo pip3 install -U virtualenvwrapper

.github/workflows/r.yml

@@ -11,7 +11,7 @@ on:
 jobs:
   build:
 
-    runs-on: ubuntu-18.04
+    runs-on: ubuntu-22.04
     strategy:
       fail-fast: true
       matrix:

python/tests/utils/test_crs_transformation.py

@@ -159,27 +159,3 @@ def test_spatial_join_query_with_polygon_rdd_using_index(self):
             if data[1].__len__() != 0:
                 for right_data in data[1]:
                     assert right_data.getUserData() is not None
-
-    def test_polygon_distance_join_with_crs_transformation(self):
-        query_rdd = PolygonRDD(
-            self.sc,
-            input_location_query_polygon, splitter, True,
-            num_partitions, StorageLevel.MEMORY_ONLY, "epsg:4326", "epsg:3857"
-        )
-        window_rdd = CircleRDD(query_rdd, 0.1)
-
-        object_rdd = PolygonRDD(
-            self.sc, input_location_query_polygon, splitter, True, num_partitions, StorageLevel.MEMORY_ONLY,
-            "epsg:4326", "epsg:3857")
-
-        object_rdd.rawJvmSpatialRDD.jsrdd.repartition(4)
-        object_rdd.spatialPartitioning(GridType.KDBTREE)
-        object_rdd.buildIndex(IndexType.RTREE, True)
-        window_rdd.spatialPartitioning(object_rdd.getPartitioner())
-
-        results = JoinQuery.DistanceJoinQuery(object_rdd, window_rdd, True, False).collect()
-        assert 5467 == results.__len__()
-
-        for data in results:
-            for polygon_data in data[1]:
-                assert Circle(data[0].geom, 0.1).covers(polygon_data.geom)