pitrou commented on code in PR #45001: URL: https://github.com/apache/arrow/pull/45001#discussion_r1890390754
########## cpp/src/arrow/compute/kernels/scalar_hash_test.cc: ########## @@ -0,0 +1,336 @@ +// 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. + +#include <gtest/gtest.h> + +#include "arrow/chunked_array.h" +#include "arrow/compute/api.h" +#include "arrow/compute/kernels/test_util.h" +#include "arrow/compute/key_hash_internal.h" +#include "arrow/compute/util.h" +#include "arrow/result.h" +#include "arrow/status.h" +#include "arrow/testing/extension_type.h" +#include "arrow/testing/gtest_util.h" +#include "arrow/testing/matchers.h" +#include "arrow/testing/random.h" +#include "arrow/testing/util.h" +#include "arrow/util/cpu_info.h" +#include "arrow/util/key_value_metadata.h" + +namespace arrow { +namespace compute { + +constexpr auto kSeed = 0x94378165; +constexpr auto array_lengths = {0, 50, 100}; +constexpr auto null_probabilities = {0.0, 0.5, 1.0}; + +class TestScalarHash : public ::testing::Test { + public: + template <typename c_type> + void AssertHashesEqual(const std::shared_ptr<Array>& arr, Datum res, + std::vector<c_type> exp) { + auto res_array = res.array(); + for (int64_t val_ndx = 0; val_ndx < arr->length(); ++val_ndx) { + c_type actual_hash = res_array->GetValues<c_type>(1)[val_ndx]; + if (arr->IsNull(val_ndx)) { + ASSERT_EQ(0, actual_hash); + } else { + ASSERT_EQ(exp[val_ndx], actual_hash); + } + } + } + + template <typename c_type> + std::vector<c_type> HashPrimitive(const std::shared_ptr<Array>& arr) { + std::vector<c_type> hashes(arr->length()); + // Choose the Hasher type conditionally based on c_type + + if constexpr (std::is_same<c_type, uint64_t>::value) { + Hashing64::HashFixed(false, static_cast<uint32_t>(arr->length()), + arr->type()->bit_width() / 8, + arr->data()->GetValues<uint8_t>(1), hashes.data()); + } else { + Hashing32::HashFixed(::arrow::internal::CpuInfo::GetInstance()->hardware_flags(), + false, static_cast<uint32_t>(arr->length()), + arr->type()->bit_width() / 8, + arr->data()->GetValues<uint8_t>(1), hashes.data(), nullptr); + } + + return hashes; + } + + template <typename c_type> + std::vector<c_type> HashBinaryLike(const std::shared_ptr<Array>& arr) { + std::vector<c_type> hashes(arr->length()); + auto length = static_cast<uint32_t>(arr->length()); + auto values = arr->data()->GetValues<uint8_t>(2); + if constexpr (std::is_same<c_type, uint64_t>::value) { + if (arr->type_id() == Type::LARGE_BINARY || arr->type_id() == Type::LARGE_STRING) { + Hashing64::HashVarLen(false, length, arr->data()->GetValues<uint64_t>(1), values, + hashes.data()); + } else { + Hashing64::HashVarLen(false, length, arr->data()->GetValues<uint32_t>(1), values, + hashes.data()); + } + } else { + auto hw_flags = ::arrow::internal::CpuInfo::GetInstance()->hardware_flags(); + if (arr->type_id() == Type::LARGE_BINARY || arr->type_id() == Type::LARGE_STRING) { + Hashing32::HashVarLen(hw_flags, false, length, + arr->data()->GetValues<uint64_t>(1), values, hashes.data(), + nullptr); + } else { + Hashing32::HashVarLen(hw_flags, false, length, + arr->data()->GetValues<uint32_t>(1), values, hashes.data(), + nullptr); + } + } + return hashes; + } + + void CheckDeterminisic(const std::string& func, const std::shared_ptr<Array>& arr) { + // Check that the hash is deterministic + ASSERT_OK_AND_ASSIGN(Datum res1, CallFunction(func, {arr})); + ASSERT_OK_AND_ASSIGN(Datum res2, CallFunction(func, {arr})); + ASSERT_EQ(res1.length(), arr->length()); + if (func == "hash64") { + ASSERT_EQ(res1.type()->id(), Type::UINT64); + } else if (func == "hash32") { + ASSERT_EQ(res1.type()->id(), Type::UINT32); + } else { + FAIL() << "Unknown function: " << func; + } + AssertDatumsEqual(res1, res2, true); + } + + void CheckPrimitive(const std::string& func, const std::shared_ptr<Array>& arr) { + ASSERT_OK_AND_ASSIGN(Datum hash_result, CallFunction(func, {arr})); + CheckDeterminisic(func, arr); + if (func == "hash64") { + AssertHashesEqual<uint64_t>(arr, hash_result, HashPrimitive<uint64_t>(arr)); + } else if (func == "hash32") { + AssertHashesEqual<uint32_t>(arr, hash_result, HashPrimitive<uint32_t>(arr)); + } else { + FAIL() << "Unknown function: " << func; + } + } + + void CheckBinary(const std::string& func, const std::shared_ptr<Array>& arr) { + ASSERT_OK_AND_ASSIGN(Datum hash_result, CallFunction(func, {arr})); + CheckDeterminisic(func, arr); + if (func == "hash64") { + AssertHashesEqual<uint64_t>(arr, hash_result, HashBinaryLike<uint64_t>(arr)); + } else if (func == "hash32") { + AssertHashesEqual<uint32_t>(arr, hash_result, HashBinaryLike<uint32_t>(arr)); + } else { + FAIL() << "Unknown function: " << func; + } + } +}; + +TEST_F(TestScalarHash, Null) { + Datum res; + std::shared_ptr<Array> arr; + std::shared_ptr<Array> exp; + + arr = ArrayFromJSON(null(), R"([])"); + exp = ArrayFromJSON(uint32(), "[]"); + ASSERT_OK_AND_ASSIGN(res, CallFunction("hash32", {arr})); + AssertArraysEqual(*res.make_array(), *exp); + CheckDeterminisic("hash32", arr); + + arr = ArrayFromJSON(null(), R"([])"); + exp = ArrayFromJSON(uint64(), "[]"); + ASSERT_OK_AND_ASSIGN(res, CallFunction("hash64", {arr})); + AssertArraysEqual(*res.make_array(), *exp); + CheckDeterminisic("hash64", arr); + + arr = ArrayFromJSON(null(), R"([null, null, null])"); + exp = ArrayFromJSON(uint32(), "[0, 0, 0]"); + ASSERT_OK_AND_ASSIGN(res, CallFunction("hash32", {arr})); + AssertArraysEqual(*res.make_array(), *exp); + CheckDeterminisic("hash32", arr); + + arr = ArrayFromJSON(null(), R"([null, null, null])"); + exp = ArrayFromJSON(uint64(), "[0, 0, 0]"); + ASSERT_OK_AND_ASSIGN(res, CallFunction("hash64", {arr})); + AssertArraysEqual(*res.make_array(), *exp); + CheckDeterminisic("hash64", arr); +} + +TEST_F(TestScalarHash, NullHashIsZero) { + auto arr1 = ArrayFromJSON(int32(), R"([null, 0, 1])"); + ASSERT_OK_AND_ASSIGN(auto res1, CallFunction("hash64", {arr1})); + auto buf1 = res1.array()->GetValues<uint64_t>(1); + ASSERT_EQ(buf1[0], 0); + ASSERT_NE(buf1[1], 0); + ASSERT_NE(buf1[2], 0); + ASSERT_NE(buf1[1], buf1[2]); + + auto arr2 = ArrayFromJSON(int8(), R"([null, 0, 1])"); + ASSERT_OK_AND_ASSIGN(auto res2, CallFunction("hash32", {arr2})); + auto buf2 = res2.array()->GetValues<uint32_t>(1); + ASSERT_EQ(buf2[0], 0); + ASSERT_NE(buf2[1], 0); + ASSERT_NE(buf2[2], 0); + ASSERT_NE(buf2[1], buf2[2]); +} + +TEST_F(TestScalarHash, Boolean) { + auto arr = ArrayFromJSON(boolean(), R"([true, false, null, true, null])"); + CheckDeterminisic("hash32", arr); + CheckDeterminisic("hash64", arr); +} + +TEST_F(TestScalarHash, NumericLike) { + auto types = {int8(), int16(), int32(), int64(), uint8(), + uint16(), uint32(), uint64(), float32(), float64()}; + for (auto func : {"hash32", "hash64"}) { + for (auto type : types) { + CheckPrimitive(func, ArrayFromJSON(type, R"([])")); + CheckPrimitive(func, ArrayFromJSON(type, R"([null])")); + CheckPrimitive(func, ArrayFromJSON(type, R"([1])")); + CheckPrimitive(func, ArrayFromJSON(type, R"([1, 2, null])")); + CheckPrimitive(func, ArrayFromJSON(type, R"([null, 2, 3])")); + CheckPrimitive(func, ArrayFromJSON(type, R"([1, 2, 3, 4])")); + } + } +} + +TEST_F(TestScalarHash, BinaryLike) { + auto types = {binary(), utf8(), large_binary(), large_utf8()}; Review Comment: Does it work for string-view types as well? And fixed-size binary? -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
