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Hyper log log plus plus(HLL++) #2522

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5 changes: 4 additions & 1 deletion src/main/cpp/CMakeLists.txt
Original file line number Diff line number Diff line change
Expand Up @@ -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
Expand All @@ -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
Expand All @@ -230,7 +234,6 @@ add_library(
src/timezones.cu
src/utilities.cu
src/xxhash64.cu
src/hive_hash.cu
src/zorder.cu
)

Expand Down
62 changes: 62 additions & 0 deletions src/main/cpp/src/HyperLogLogPlusPlusHostUDFJni.cpp
Original file line number Diff line number Diff line change
@@ -0,0 +1,62 @@
/*
* Copyright (c) 2024, 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);
default: return spark_rapids_jni::create_hllpp_groupby_merge_host_udf(precision);
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Suggested change
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);
default: return spark_rapids_jni::create_hllpp_groupby_merge_host_udf(precision);
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.");

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done

}
}();
CUDF_EXPECTS(udf_ptr != nullptr, "Invalid HyperLogLogPlusPlus(HLLPP) UDF instance.");

return reinterpret_cast<jlong>(udf_ptr.release());
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Where is this pointer released? It looks like this is a memory leak after this.

}
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"
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