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import quincy 17.2.0
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1 // Licensed to the Apache Software Foundation (ASF) under one
2 // or more contributor license agreements. See the NOTICE file
3 // distributed with this work for additional information
4 // regarding copyright ownership. The ASF licenses this file
5 // to you under the Apache License, Version 2.0 (the
6 // "License"); you may not use this file except in compliance
7 // with the License. You may obtain a copy of the License at
8 //
9 // http://www.apache.org/licenses/LICENSE-2.0
10 //
11 // Unless required by applicable law or agreed to in writing,
12 // software distributed under the License is distributed on an
13 // "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
14 // KIND, either express or implied. See the License for the
15 // specific language governing permissions and limitations
16 // under the License.
17
18 #include <gtest/gtest.h>
19 #include "arrow/memory_pool.h"
20 #include "arrow/status.h"
21
22 #include "gandiva/projector.h"
23 #include "gandiva/tests/test_util.h"
24 #include "gandiva/tree_expr_builder.h"
25
26 namespace gandiva {
27
28 using arrow::boolean;
29 using arrow::float32;
30 using arrow::float64;
31 using arrow::int32;
32 using arrow::int64;
33
34 class TestLiteral : public ::testing::Test {
35 public:
36 void SetUp() { pool_ = arrow::default_memory_pool(); }
37
38 protected:
39 arrow::MemoryPool* pool_;
40 };
41
42 TEST_F(TestLiteral, TestSimpleArithmetic) {
43 // schema for input fields
44 auto field_a = field("a", boolean());
45 auto field_b = field("b", int32());
46 auto field_c = field("c", int64());
47 auto field_d = field("d", float32());
48 auto field_e = field("e", float64());
49 auto schema = arrow::schema({field_a, field_b, field_c, field_d, field_e});
50
51 // output fields
52 auto res_a = field("a+1", boolean());
53 auto res_b = field("b+1", int32());
54 auto res_c = field("c+1", int64());
55 auto res_d = field("d+1", float32());
56 auto res_e = field("e+1", float64());
57
58 // build expressions.
59 // a == true
60 // b + 1
61 // c + 1
62 // d + 1
63 // e + 1
64 auto node_a = TreeExprBuilder::MakeField(field_a);
65 auto literal_a = TreeExprBuilder::MakeLiteral(true);
66 auto func_a = TreeExprBuilder::MakeFunction("equal", {node_a, literal_a}, boolean());
67 auto expr_a = TreeExprBuilder::MakeExpression(func_a, res_a);
68
69 auto node_b = TreeExprBuilder::MakeField(field_b);
70 auto literal_b = TreeExprBuilder::MakeLiteral((int32_t)1);
71 auto func_b = TreeExprBuilder::MakeFunction("add", {node_b, literal_b}, int32());
72 auto expr_b = TreeExprBuilder::MakeExpression(func_b, res_b);
73
74 auto node_c = TreeExprBuilder::MakeField(field_c);
75 auto literal_c = TreeExprBuilder::MakeLiteral((int64_t)1);
76 auto func_c = TreeExprBuilder::MakeFunction("add", {node_c, literal_c}, int64());
77 auto expr_c = TreeExprBuilder::MakeExpression(func_c, res_c);
78
79 auto node_d = TreeExprBuilder::MakeField(field_d);
80 auto literal_d = TreeExprBuilder::MakeLiteral(static_cast<float>(1));
81 auto func_d = TreeExprBuilder::MakeFunction("add", {node_d, literal_d}, float32());
82 auto expr_d = TreeExprBuilder::MakeExpression(func_d, res_d);
83
84 auto node_e = TreeExprBuilder::MakeField(field_e);
85 auto literal_e = TreeExprBuilder::MakeLiteral(static_cast<double>(1));
86 auto func_e = TreeExprBuilder::MakeFunction("add", {node_e, literal_e}, float64());
87 auto expr_e = TreeExprBuilder::MakeExpression(func_e, res_e);
88
89 // Build a projector for the expressions.
90 std::shared_ptr<Projector> projector;
91 auto status = Projector::Make(schema, {expr_a, expr_b, expr_c, expr_d, expr_e},
92 TestConfiguration(), &projector);
93 EXPECT_TRUE(status.ok());
94
95 // Create a row-batch with some sample data
96 int num_records = 4;
97 auto array_a = MakeArrowArrayBool({true, true, false, true}, {true, true, true, false});
98 auto array_b = MakeArrowArrayInt32({5, 15, -15, 17}, {true, true, true, false});
99 auto array_c = MakeArrowArrayInt64({5, 15, -15, 17}, {true, true, true, false});
100 auto array_d = MakeArrowArrayFloat32({5.2f, 15, -15.6f, 17}, {true, true, true, false});
101 auto array_e = MakeArrowArrayFloat64({5.6f, 15, -15.9f, 17}, {true, true, true, false});
102
103 // expected output
104 auto exp_a = MakeArrowArrayBool({true, true, false, false}, {true, true, true, false});
105 auto exp_b = MakeArrowArrayInt32({6, 16, -14, 0}, {true, true, true, false});
106 auto exp_c = MakeArrowArrayInt64({6, 16, -14, 0}, {true, true, true, false});
107 auto exp_d = MakeArrowArrayFloat32({6.2f, 16, -14.6f, 0}, {true, true, true, false});
108 auto exp_e = MakeArrowArrayFloat64({6.6f, 16, -14.9f, 0}, {true, true, true, false});
109
110 // prepare input record batch
111 auto in_batch = arrow::RecordBatch::Make(schema, num_records,
112 {array_a, array_b, array_c, array_d, array_e});
113
114 // Evaluate expression
115 arrow::ArrayVector outputs;
116 status = projector->Evaluate(*in_batch, pool_, &outputs);
117 EXPECT_TRUE(status.ok());
118
119 // Validate results
120 EXPECT_ARROW_ARRAY_EQUALS(exp_a, outputs.at(0));
121 EXPECT_ARROW_ARRAY_EQUALS(exp_b, outputs.at(1));
122 EXPECT_ARROW_ARRAY_EQUALS(exp_c, outputs.at(2));
123 EXPECT_ARROW_ARRAY_EQUALS(exp_d, outputs.at(3));
124 EXPECT_ARROW_ARRAY_EQUALS(exp_e, outputs.at(4));
125 }
126
127 TEST_F(TestLiteral, TestLiteralHash) {
128 auto schema = arrow::schema({});
129 // output fields
130 auto res = field("a", int32());
131 auto int_literal = TreeExprBuilder::MakeLiteral((int32_t)2);
132 auto expr = TreeExprBuilder::MakeExpression(int_literal, res);
133
134 // Build a projector for the expressions.
135 std::shared_ptr<Projector> projector;
136 auto status = Projector::Make(schema, {expr}, TestConfiguration(), &projector);
137 EXPECT_TRUE(status.ok()) << status.message();
138
139 auto res1 = field("a", int64());
140 auto int_literal1 = TreeExprBuilder::MakeLiteral((int64_t)2);
141 auto expr1 = TreeExprBuilder::MakeExpression(int_literal1, res1);
142
143 // Build a projector for the expressions.
144 std::shared_ptr<Projector> projector1;
145 status = Projector::Make(schema, {expr1}, TestConfiguration(), &projector1);
146 EXPECT_TRUE(status.ok()) << status.message();
147 EXPECT_TRUE(projector.get() != projector1.get());
148 }
149
150 TEST_F(TestLiteral, TestNullLiteral) {
151 // schema for input fields
152 auto field_a = field("a", int32());
153 auto field_b = field("b", int32());
154 auto schema = arrow::schema({field_a, field_b});
155
156 // output fields
157 auto res = field("a+b+null", int32());
158
159 auto node_a = TreeExprBuilder::MakeField(field_a);
160 auto node_b = TreeExprBuilder::MakeField(field_b);
161 auto literal_c = TreeExprBuilder::MakeNull(arrow::int32());
162 auto add_a_b = TreeExprBuilder::MakeFunction("add", {node_a, node_b}, int32());
163 auto add_a_b_c = TreeExprBuilder::MakeFunction("add", {add_a_b, literal_c}, int32());
164 auto expr = TreeExprBuilder::MakeExpression(add_a_b_c, res);
165
166 // Build a projector for the expressions.
167 std::shared_ptr<Projector> projector;
168 auto status = Projector::Make(schema, {expr}, TestConfiguration(), &projector);
169 EXPECT_TRUE(status.ok()) << status.message();
170
171 // Create a row-batch with some sample data
172 int num_records = 4;
173 auto array_a = MakeArrowArrayInt32({5, 15, -15, 17}, {true, true, true, false});
174 auto array_b = MakeArrowArrayInt32({5, 15, -15, 17}, {true, true, true, false});
175
176 // expected output
177 auto exp = MakeArrowArrayInt32({0, 0, 0, 0}, {false, false, false, false});
178
179 // prepare input record batch
180 auto in_batch = arrow::RecordBatch::Make(schema, num_records, {array_a, array_b});
181
182 // Evaluate expression
183 arrow::ArrayVector outputs;
184 status = projector->Evaluate(*in_batch, pool_, &outputs);
185 EXPECT_TRUE(status.ok()) << status.message();
186
187 // Validate results
188 EXPECT_ARROW_ARRAY_EQUALS(exp, outputs.at(0));
189 }
190
191 TEST_F(TestLiteral, TestNullLiteralInIf) {
192 // schema for input fields
193 auto field_a = field("a", float64());
194 auto schema = arrow::schema({field_a});
195
196 // output fields
197 auto res = field("res", float64());
198
199 auto node_a = TreeExprBuilder::MakeField(field_a);
200 auto literal_5 = TreeExprBuilder::MakeLiteral(5.0);
201 auto a_gt_5 = TreeExprBuilder::MakeFunction("greater_than", {node_a, literal_5},
202 arrow::boolean());
203 auto literal_null = TreeExprBuilder::MakeNull(arrow::float64());
204 auto if_node =
205 TreeExprBuilder::MakeIf(a_gt_5, literal_5, literal_null, arrow::float64());
206 auto expr = TreeExprBuilder::MakeExpression(if_node, res);
207
208 // Build a projector for the expressions.
209 std::shared_ptr<Projector> projector;
210 auto status = Projector::Make(schema, {expr}, TestConfiguration(), &projector);
211 EXPECT_TRUE(status.ok()) << status.message();
212
213 // Create a row-batch with some sample data
214 int num_records = 4;
215 auto array_a = MakeArrowArrayFloat64({6, 15, -15, 17}, {true, true, true, false});
216
217 // expected output
218 auto exp = MakeArrowArrayFloat64({5, 5, 0, 0}, {true, true, false, false});
219
220 // prepare input record batch
221 auto in_batch = arrow::RecordBatch::Make(schema, num_records, {array_a});
222
223 // Evaluate expression
224 arrow::ArrayVector outputs;
225 status = projector->Evaluate(*in_batch, pool_, &outputs);
226 EXPECT_TRUE(status.ok()) << status.message();
227
228 // Validate results
229 EXPECT_ARROW_ARRAY_EQUALS(exp, outputs.at(0));
230 }
231
232 } // namespace gandiva