Add in JNI support for table partition [skip ci]

java/src/main/java/ai/rapids/cudf/Table.java

@@ -183,6 +183,9 @@ public long getDeviceMemorySize() {
 
   private static native ContiguousTable[] contiguousSplit(long inputTable, int[] indices);
 
+  private static native long[] partition(long inputTable, long partitionView,
+      int numberOfPartitions, int[] outputOffsets);
+
   private static native long[] hashPartition(long inputTable,
                                              int[] columnsToHash,
                                              int hashTypeId,
@@ -1257,6 +1260,24 @@ public Table repeat(ColumnVector counts, boolean checkCount) {
     return new Table(repeatColumnCount(this.nativeHandle, counts.getNativeView(), checkCount));
   }
 
+  /**
+   * Partition this table using the mapping in partitionMap. partitionMap must be an integer
+   * column. The number of rows in partitionMap must be the same as this table.  Each row
+   * in the map will indicate which partition the rows in the table belong to.
+   * @param partitionMap the partitions for each row.
+   * @param numberOfPartitions number of partitions
+   * @return {@link PartitionedTable} Table that exposes a limited functionality of the
+   * {@link Table} class
+   */
+  public PartitionedTable partition(ColumnView partitionMap, int numberOfPartitions) {
+    int[] partitionOffsets = new int[numberOfPartitions];
+    return new PartitionedTable(new Table(partition(
+        getNativeView(),
+        partitionMap.getNativeView(),
+        partitionOffsets.length,
+        partitionOffsets)), partitionOffsets);
+  }
+
   /**
    * Find smallest indices in a sorted table where values should be inserted to maintain order.
    * <pre>

java/src/main/native/src/TableJni.cpp

@@ -1614,6 +1614,39 @@ JNIEXPORT jlongArray JNICALL Java_ai_rapids_cudf_Table_concatenate(JNIEnv *env,
   CATCH_STD(env, NULL);
 }
 
+JNIEXPORT jlongArray JNICALL Java_ai_rapids_cudf_Table_partition(JNIEnv *env, jclass,
+                                                                 jlong input_table,
+                                                                 jlong partition_column,
+                                                                 jint number_of_partitions,
+                                                                 jintArray output_offsets) {
+
+  JNI_NULL_CHECK(env, input_table, "input table is null", NULL);
+  JNI_NULL_CHECK(env, partition_column, "partition_column is null", NULL);
+  JNI_NULL_CHECK(env, output_offsets, "output_offsets is null", NULL);
+  JNI_ARG_CHECK(env, number_of_partitions > 0, "number_of_partitions is zero", NULL);
+
+  try {
+    cudf::jni::auto_set_device(env);
+    cudf::table_view *n_input_table = reinterpret_cast<cudf::table_view *>(input_table);
+    cudf::column_view *n_part_column = reinterpret_cast<cudf::column_view *>(partition_column);
+    cudf::jni::native_jintArray n_output_offsets(env, output_offsets);
+
+    auto result = cudf::partition(*n_input_table,
+                                  *n_part_column,
+                                  number_of_partitions);
+
+    for (size_t i = 0; i < result.second.size() - 1; i++) {
+      // for what ever reason partition returns the length of the result at then
+      // end and hash partition/round robing do not, so skip the last entry for
+      // consistency
+      n_output_offsets[i] = result.second[i];
+    }
+
+    return cudf::jni::convert_table_for_return(env, result.first);
+  }
+  CATCH_STD(env, NULL);
+}
+
 JNIEXPORT jlongArray JNICALL Java_ai_rapids_cudf_Table_hashPartition(JNIEnv *env, jclass,
                                                                      jlong input_table,
                                                                      jintArray columns_to_hash,

java/src/test/java/ai/rapids/cudf/TableTest.java

@@ -1773,6 +1773,23 @@ void testPartStability() {
     }
   }
 
+  @Test
+  void testPartition() {
+    try (Table t = new Table.TestBuilder()
+        .column(1, 2, 3, 4, 5, 6, 7, 8, 9, 10)
+        .build();
+         ColumnVector parts = ColumnVector
+             .fromInts(1, 2, 1, 2, 1, 2, 1, 2, 1, 2);
+         PartitionedTable pt = t.partition(parts, 3);
+         Table expected = new Table.TestBuilder()
+             .column(1, 3, 5, 7, 9, 2, 4, 6, 8, 10)
+             .build()) {
+      int[] partCutoffs = pt.getPartitions();
+      assertArrayEquals(new int[]{0, 0, 5}, partCutoffs);
+      assertTablesAreEqual(expected, pt.getTable());
+    }
+  }
+
   @Test
   void testIdentityHashPartition() {
     final int count = 1024 * 1024;