Hyper log log plus plus(HLL++)

src/main/cpp/CMakeLists.txt

@@ -1,5 +1,5 @@
 # =============================================================================
-# Copyright (c) 2022-2024, NVIDIA CORPORATION.
+# Copyright (c) 2022-2025, NVIDIA CORPORATION.
 #
 # 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
@@ -199,6 +199,7 @@ add_library(
   src/HashJni.cpp
   src/HistogramJni.cpp
   src/HostTableJni.cpp
+  src/HyperLogLogPlusPlusHostUDFJni.cpp
   src/JSONUtilsJni.cpp
   src/NativeParquetJni.cpp
   src/ParseURIJni.cpp
@@ -221,6 +222,9 @@ add_library(
   src/from_json_to_structs.cu
   src/get_json_object.cu
   src/histogram.cu
+  src/hive_hash.cu
+  src/hyper_log_log_plus_plus.cu
+  src/hyper_log_log_plus_plus_host_udf.cu
   src/json_utils.cu
   src/murmur_hash.cu
   src/parse_uri.cu
@@ -230,7 +234,6 @@ add_library(
   src/timezones.cu
   src/utilities.cu
   src/xxhash64.cu
-  src/hive_hash.cu
   src/zorder.cu
 )
 

src/main/cpp/src/HyperLogLogPlusPlusHostUDFJni.cpp

@@ -0,0 +1,63 @@
+/*
+ * Copyright (c) 2024-2025, NVIDIA CORPORATION.
+ *
+ * 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.
+ */
+
+#include "cudf_jni_apis.hpp"
+#include "hyper_log_log_plus_plus.hpp"
+#include "hyper_log_log_plus_plus_host_udf.hpp"
+
+extern "C" {
+
+JNIEXPORT jlong JNICALL
+Java_com_nvidia_spark_rapids_jni_HyperLogLogPlusPlusHostUDF_createHLLPPHostUDF(JNIEnv* env,
+                                                                               jclass,
+                                                                               jint agg_type,
+                                                                               int precision)
+{
+  try {
+    cudf::jni::auto_set_device(env);
+    auto udf_ptr = [&] {
+      // The value of agg_type must be sync with
+      // `HyperLogLogPlusPlusHostUDF.java#AggregationType`.
+      switch (agg_type) {
+        case 0: return spark_rapids_jni::create_hllpp_reduction_host_udf(precision);
+        case 1: return spark_rapids_jni::create_hllpp_reduction_merge_host_udf(precision);
+        case 2: return spark_rapids_jni::create_hllpp_groupby_host_udf(precision);
+        case 3: return spark_rapids_jni::create_hllpp_groupby_merge_host_udf(precision);
+        default: CUDF_FAIL("Invalid aggregation type.");
+      }
+    }();
+    CUDF_EXPECTS(udf_ptr != nullptr, "Invalid HyperLogLogPlusPlus(HLLPP) UDF instance.");
+
+    return reinterpret_cast<jlong>(udf_ptr.release());
+  }
+  CATCH_STD(env, 0);
+}
+
+JNIEXPORT jlong JNICALL
+Java_com_nvidia_spark_rapids_jni_HyperLogLogPlusPlusHostUDF_estimateDistinctValueFromSketches(
+  JNIEnv* env, jclass, jlong sketches, jint precision)
+{
+  JNI_NULL_CHECK(env, sketches, "Sketch column is null", 0);
+  try {
+    cudf::jni::auto_set_device(env);
+    auto const sketch_view = reinterpret_cast<cudf::column_view const*>(sketches);
+    return cudf::jni::ptr_as_jlong(
+      spark_rapids_jni::estimate_from_hll_sketches(*sketch_view, precision).release());
+  }
+  CATCH_STD(env, 0);
+}
+
+}  // extern "C"