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test_ra.py
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1 #cython: language_level=3
2 
3 import pytest
4 import dbe
5 import ctypes
6 import pyarrow as pa
7 
8 ctypes._dlopen('libDBEngine.so', ctypes.RTLD_GLOBAL)
9 
10 
11 def test_init():
12  global engine
13  engine = dbe.PyDbEngine(
14  enable_union=1,
15  enable_columnar_output=1,
16  enable_lazy_fetch=0,
17  null_div_by_zero=1,
18  )
19  assert bool(engine.closed) == False
20 
21 engine = None
22 
24  data = [
25  pa.array([1, 1, 2, 2, 3]),
26  pa.array([None, None, 2, 1, 3]),
27  pa.array([3, None, None, 2, 1])
28  ]
29  table = pa.Table.from_arrays(data, ['F_a', 'F_b', 'F_c'])
30  engine.importArrowTable('test', table)
31  assert engine.get_tables() == ['test']
32 
33 
35  ra = """execute calcite {"rels": [
36 {"id": "0", "relOp": "EnumerableTableScan", "table": ["omnisci", "test"], "fieldNames": ["F_a", "F_b", "F_c", "rowid"], "inputs": []},
37 {"id": "1", "relOp": "LogicalProject", "fields": ["F___index__", "F_a", "F_b", "F_c"], "exprs": [{"input": 3}, {"input": 0}, {"input": 1}, {"input": 2}]},
38 {"id": "2", "relOp": "LogicalFilter", "condition": {"op": "CASE", "operands": [{"op": "IS NULL", "operands": [{"input": 1}], "type": {"type": "BOOLEAN", "nullable": true}},
39 {"literal": false, "type": "BOOLEAN", "target_type": "BOOLEAN", "scale": -2147483648, "precision": 1, "type_scale": -2147483648, "type_precision": 1},
40 {"op": "=", "operands": [{"input": 1}, {"literal": 1, "type": "DECIMAL", "target_type": "BIGINT", "scale": 0, "precision": 1, "type_scale": 0, "type_precision": 19}],
41 "type": {"type": "BOOLEAN", "nullable": true}}], "type": {"type": "BOOLEAN", "nullable": true}}},
42 {"id": "3", "relOp": "LogicalProject", "fields": ["F___index__", "F_a", "F_b", "F_c"], "exprs": [{"input": 0}, {"input": 1}, {"input": 2}, {"input": 3}]}]}
43 """
44  target = {'F___index__': [0, 1], 'F_a': [1, 1], 'F_b': [None, None], 'F_c': [3, None]}
45  cursor = engine.executeRA(ra)
46  batch = cursor.getArrowRecordBatch()
47  assert batch.to_pydict() == target
48 
49 def test_drop():
50  ra = """execute calcite {"rels": [
51 {"id": "0", "relOp": "EnumerableTableScan", "table": ["omnisci", "test"], "fieldNames": ["F_a", "F_b", "F_c", "rowid"], "inputs": []},
52 {"id": "1", "relOp": "LogicalProject", "fields": ["F_a", "F_b", "F_c"], "exprs": [{"input": 0}, {"input": 1}, {"input": 2}]},
53 {"id": "2", "relOp": "LogicalProject", "fields": ["F_a", "F_b", "F_c"], "exprs": [{"input": 0}, {"input": 1}, {"input": 2}]},
54 {"id": "3", "relOp": "LogicalAggregate", "fields": ["F_a", "F_b", "F_c"], "group": [0], "aggs": [{"agg": "SUM", "operands": [1],
55 "distinct": false, "type": {"type": "DOUBLE", "nullable": true}}, {"agg": "SUM", "operands": [2], "distinct": false, "type": {"type": "DOUBLE", "nullable": true}}]},
56 {"id": "4", "relOp": "LogicalSort", "collation": [{"field": 0, "direction": "ASCENDING", "nulls": "LAST"}]},
57 {"id": "5", "relOp": "LogicalFilter", "condition": {"op": "CASE", "operands": [{"op": "IS NULL", "operands": [{"input": 1}], "type": {"type": "BOOLEAN", "nullable": true}},
58 {"literal": false, "type": "BOOLEAN", "target_type": "BOOLEAN", "scale": -2147483648, "precision": 1, "type_scale": -2147483648, "type_precision": 1},
59 {"op": ">", "operands": [{"input": 1}, {"literal": 1, "type": "DECIMAL", "target_type": "BIGINT", "scale": 0, "precision": 1, "type_scale": 0, "type_precision": 19}],
60 "type": {"type": "BOOLEAN", "nullable": true}}], "type": {"type": "BOOLEAN", "nullable": true}}}, {"id": "6", "relOp": "LogicalProject",
61 "fields": ["F_a", "F_b", "F_c"], "exprs": [{"input": 0}, {"input": 1}, {"input": 2}]}]}
62 """
63  target = {'F_a': [2, 3], '$f1': [3, 3], '$f2': [2, 1]}
64  cursor = engine.executeRA(ra)
65  batch = cursor.getArrowRecordBatch()
66  assert batch.to_pydict() == target
67 
68 def test_iloc():
69  ra = """execute calcite {"rels": [
70 {"id": "0", "relOp": "EnumerableTableScan", "table": ["omnisci", "test"], "fieldNames": ["F_a", "F_b", "F_c", "rowid"], "inputs": []},
71 {"id": "1", "relOp": "LogicalProject", "fields": ["F___index__", "F_a", "F_b", "F_c"], "exprs": [{"input": 3}, {"input": 0}, {"input": 1}, {"input": 2}]},
72 {"id": "2", "relOp": "LogicalFilter", "condition": {"op": "CASE", "operands": [{"op": "IS NULL", "operands": [{"op": "+", "operands": [{"input": 1},
73 {"op": "+", "operands": [{"input": 2}, {"literal": 2, "type": "DECIMAL", "target_type": "BIGINT", "scale": 0, "precision": 1, "type_scale": 0, "type_precision": 19}],
74 "type": {"type": "DOUBLE", "nullable": true}}], "type": {"type": "DOUBLE", "nullable": true}}], "type": {"type": "BOOLEAN", "nullable": true}},
75 {"literal": false, "type": "BOOLEAN", "target_type": "BOOLEAN", "scale": -2147483648, "precision": 1, "type_scale": -2147483648, "type_precision": 1},
76 {"op": ">", "operands": [{"op": "+", "operands": [{"input": 1},
77 {"op": "+", "operands": [{"input": 2}, {"literal": 2, "type": "DECIMAL", "target_type": "BIGINT", "scale": 0, "precision": 1, "type_scale": 0, "type_precision": 19}],
78 "type": {"type": "DOUBLE", "nullable": true}}], "type": {"type": "DOUBLE", "nullable": true}},
79 {"literal": 1, "type": "DECIMAL", "target_type": "BIGINT", "scale": 0, "precision": 1, "type_scale": 0, "type_precision": 19}],
80 "type": {"type": "BOOLEAN", "nullable": true}}], "type": {"type": "BOOLEAN", "nullable": true}}},
81 {"id": "3", "relOp": "LogicalProject", "fields": ["F___index__", "F_a", "F_b", "F_c"], "exprs": [{"input": 0},
82 {"op": "+", "operands": [{"input": 1}, {"literal": 2, "type": "DECIMAL", "target_type": "BIGINT", "scale": 0, "precision": 1, "type_scale": 0, "type_precision": 19}],
83 "type": {"type": "BIGINT", "nullable": true}},
84 {"op": "+", "operands": [{"input": 2}, {"literal": 2, "type": "DECIMAL", "target_type": "BIGINT", "scale": 0, "precision": 1, "type_scale": 0, "type_precision": 19}],
85 "type": {"type": "DOUBLE", "nullable": true}},
86 {"op": "+", "operands": [{"input": 3}, {"literal": 2, "type": "DECIMAL", "target_type": "BIGINT", "scale": 0, "precision": 1, "type_scale": 0, "type_precision": 19}],
87 "type": {"type": "DOUBLE", "nullable": true}}]}]}
88 """
89  target = {'F___index__': [2, 3, 4], 'F_a': [4, 4, 5], 'F_b': [4, 3, 5], 'F_c': [None, 4, 3]}
90  cursor = engine.executeRA(ra)
91  batch = cursor.getArrowRecordBatch()
92  assert batch.to_pydict() == target
93 
94 def test_empty():
95  ra = """execute calcite {"rels": [
96 {"id": "0", "relOp": "EnumerableTableScan", "table": ["omnisci", "test"], "fieldNames": ["F_a", "F_b", "F_c", "rowid"], "inputs": []},
97 {"id": "1", "relOp": "LogicalProject", "fields": ["F___index__", "F_a", "F_b", "F_c"], "exprs": [{"input": 3}, {"input": 0}, {"input": 1}, {"input": 2}]},
98 {"id": "2", "relOp": "LogicalFilter", "condition": {"op": "CASE", "operands": [{"op": "IS NULL", "operands": [{"input": 1}], "type": {"type": "BOOLEAN", "nullable": true}},
99 {"literal": false, "type": "BOOLEAN", "target_type": "BOOLEAN", "scale": -2147483648, "precision": 1, "type_scale": -2147483648, "type_precision": 1},
100 {"op": "=", "operands": [{"input": 1}, {"literal": 1, "type": "DECIMAL", "target_type": "BIGINT", "scale": 0, "precision": 1, "type_scale": 0, "type_precision": 19}],
101 "type": {"type": "BOOLEAN", "nullable": true}}], "type": {"type": "BOOLEAN", "nullable": true}}},
102 {"id": "3", "relOp": "LogicalProject", "fields": ["F___index__", "F_a", "F_b", "F_c"], "exprs": [{"input": 0}, {"input": 1}, {"input": 2}, {"input": 3}]}]}
103 """
104  target = {'F___index__': [0, 1], 'F_a': [1, 1], 'F_b': [None, None], 'F_c': [3, None]}
105  cursor = engine.executeRA(ra)
106  batch = cursor.getArrowRecordBatch()
107  assert batch.to_pydict() == target
108 
110  ra = """execute calcite {"rels": [
111 {"id": "0", "relOp": "EnumerableTableScan", "table": ["omnisci", "test"], "fieldNames": ["F_a", "F_b", "F_c", "rowid"], "inputs": []},
112 {"id": "1", "relOp": "LogicalProject", "fields": ["F_a", "F_b", "F_c"], "exprs": [{"input": 0}, {"input": 1}, {"input": 2}]},
113 {"id": "2", "relOp": "LogicalProject", "fields": ["F_a", "F_b", "F_c"], "exprs": [{"input": 0}, {"input": 1}, {"input": 2}]},
114 {"id": "3", "relOp": "LogicalAggregate", "fields": ["F_a", "F_b", "F_c"], "group": [0], "aggs": [
115 {"agg": "SUM", "operands": [1], "distinct": false, "type": {"type": "DOUBLE", "nullable": true}},
116 {"agg": "SUM", "operands": [2], "distinct": false, "type": {"type": "DOUBLE", "nullable": true}}]},
117 {"id": "4", "relOp": "LogicalSort", "collation": [{"field": 0, "direction": "ASCENDING", "nulls": "LAST"}]},
118 {"id": "5", "relOp": "LogicalFilter", "condition": {"op": "CASE", "operands": [{"op": "IS NULL", "operands": [{"input": 1}], "type": {"type": "BOOLEAN", "nullable": true}},
119 {"literal": false, "type": "BOOLEAN", "target_type": "BOOLEAN", "scale": -2147483648, "precision": 1, "type_scale": -2147483648, "type_precision": 1},
120 {"op": ">", "operands": [{"input": 1}, {"literal": 1, "type": "DECIMAL", "target_type": "BIGINT", "scale": 0, "precision": 1, "type_scale": 0, "type_precision": 19}],
121 "type": {"type": "BOOLEAN", "nullable": true}}], "type": {"type": "BOOLEAN", "nullable": true}}},
122 {"id": "6", "relOp": "LogicalProject", "fields": ["F_a", "F_b", "F_c"], "exprs": [{"input": 0}, {"input": 1}, {"input": 2}]}]}
123 """
124  target = {'F_a': [2, 3], '$f1': [3, 3], '$f2': [2, 1]}
125  cursor = engine.executeRA(ra)
126  batch = cursor.getArrowRecordBatch()
127  assert batch.to_pydict() == target
128 
130  ra = """execute calcite {"rels": [
131 {"id": "0", "relOp": "EnumerableTableScan", "table": ["omnisci", "test"], "fieldNames": ["F_a", "F_b", "F_c", "rowid"], "inputs": []},
132 {"id": "1", "relOp": "LogicalProject", "fields": ["F___index__", "F_a", "F_b", "F_c"], "exprs": [{"input": 3}, {"input": 0}, {"input": 1}, {"input": 2}]},
133 {"id": "2", "relOp": "LogicalFilter", "condition": {"op": "CASE", "operands": [{"op": "IS NULL", "operands": [{"op": "+", "operands": [{"input": 1},
134 {"op": "+", "operands": [{"input": 2}, {"literal": 2, "type": "DECIMAL", "target_type": "BIGINT", "scale": 0, "precision": 1, "type_scale": 0, "type_precision": 19}],
135 "type": {"type": "DOUBLE", "nullable": true}}], "type": {"type": "DOUBLE", "nullable": true}}], "type": {"type": "BOOLEAN", "nullable": true}},
136 {"literal": false, "type": "BOOLEAN", "target_type": "BOOLEAN", "scale": -2147483648, "precision": 1, "type_scale": -2147483648, "type_precision": 1},
137 {"op": ">", "operands": [{"op": "+", "operands": [{"input": 1}, {"op": "+", "operands": [{"input": 2},
138 {"literal": 2, "type": "DECIMAL", "target_type": "BIGINT", "scale": 0, "precision": 1, "type_scale": 0, "type_precision": 19}],
139 "type": {"type": "DOUBLE", "nullable": true}}], "type": {"type": "DOUBLE", "nullable": true}},
140 {"literal": 1, "type": "DECIMAL", "target_type": "BIGINT", "scale": 0, "precision": 1, "type_scale": 0, "type_precision": 19}],
141 "type": {"type": "BOOLEAN", "nullable": true}}], "type": {"type": "BOOLEAN", "nullable": true}}},
142 {"id": "3", "relOp": "LogicalProject", "fields": ["F___index__", "F_a", "F_b", "F_c"], "exprs": [{"input": 0},
143 {"op": "+", "operands": [{"input": 1}, {"literal": 2, "type": "DECIMAL", "target_type": "BIGINT", "scale": 0, "precision": 1, "type_scale": 0, "type_precision": 19}], "type": {"type": "BIGINT", "nullable": true}},
144 {"op": "+", "operands": [{"input": 2}, {"literal": 2, "type": "DECIMAL", "target_type": "BIGINT", "scale": 0, "precision": 1, "type_scale": 0, "type_precision": 19}], "type": {"type": "DOUBLE", "nullable": true}},
145 {"op": "+", "operands": [{"input": 3}, {"literal": 2, "type": "DECIMAL", "target_type": "BIGINT", "scale": 0, "precision": 1, "type_scale": 0, "type_precision": 19}], "type": {"type": "DOUBLE", "nullable": true}}]}]}
146 """
147  target = {'F___index__': [2, 3, 4], 'F_a': [4, 4, 5], 'F_b': [4, 3, 5], 'F_c': [None, 4, 3]}
148  cursor = engine.executeRA(ra)
149  batch = cursor.getArrowRecordBatch()
150  assert batch.to_pydict() == target
151 
153  ra = """execute calcite {"rels": [
154 {"id": "0", "relOp": "EnumerableTableScan", "table": ["omnisci", "test"], "fieldNames": ["F_a", "F_b", "F_c", "rowid"], "inputs": []},
155 {"id": "1", "relOp": "LogicalProject", "fields": ["F___index__", "F_a", "F_b", "F_c"], "exprs": [{"input": 3}, {"input": 0}, {"input": 1}, {"input": 2}]},
156 {"id": "2", "relOp": "LogicalFilter", "condition": {"op": "CASE", "operands": [{"op": "IS NULL", "operands": [{"input": 1}], "type": {"type": "BOOLEAN", "nullable": true}},
157 {"literal": true, "type": "BOOLEAN", "target_type": "BOOLEAN", "scale": -2147483648, "precision": 1, "type_scale": -2147483648, "type_precision": 1},
158 {"op": "<>", "operands": [{"input": 1}, {"literal": 1, "type": "DECIMAL", "target_type": "BIGINT", "scale": 0, "precision": 1, "type_scale": 0, "type_precision": 19}],
159 "type": {"type": "BOOLEAN", "nullable": true}}], "type": {"type": "BOOLEAN", "nullable": true}}},
160 {"id": "3", "relOp": "LogicalProject", "fields": ["F___index__", "F_a", "F_b"],
161 "exprs": [{"input": 0}, {"op": "*", "operands": [{"input": 1}, {"input": 2}], "type": {"type": "DOUBLE", "nullable": true}}, {"input": 2}]}]}
162 """
163  target = {'F___index__': [2, 3, 4], 'F_a': [4, 2, 9], 'F_b': [2, 1, 3]}
164  cursor = engine.executeRA(ra)
165  batch = cursor.getArrowRecordBatch()
166  assert batch.to_pydict() == target
167 
169  ra = """execute calcite {"rels": [
170 {"id": "0", "relOp": "EnumerableTableScan", "table": ["omnisci", "test"], "fieldNames": ["F_a", "F_b", "F_c", "rowid"], "inputs": []},
171 {"id": "1", "relOp": "LogicalProject", "fields": ["F___index__", "F_a", "F_b", "F_c"], "exprs": [{"input": 3}, {"input": 0}, {"input": 1}, {"input": 2}]},
172 {"id": "2", "relOp": "LogicalFilter", "condition": {"op": "CASE", "operands": [{"op": "IS NULL", "operands": [{"input": 1}], "type": {"type": "BOOLEAN", "nullable": true}},
173 {"literal": true, "type": "BOOLEAN", "target_type": "BOOLEAN", "scale": -2147483648, "precision": 1, "type_scale": -2147483648, "type_precision": 1},
174 {"op": "<>", "operands": [{"input": 1}, {"literal": 1, "type": "DECIMAL", "target_type": "BIGINT", "scale": 0, "precision": 1, "type_scale": 0, "type_precision": 19}],
175 "type": {"type": "BOOLEAN", "nullable": true}}], "type": {"type": "BOOLEAN", "nullable": true}}},
176 {"id": "3", "relOp": "LogicalProject", "fields": ["F___index__", "F_a", "F_b"], "exprs": [{"input": 0},
177 {"op": "*", "operands": [{"input": 1}, {"input": 2}], "type": {"type": "DOUBLE", "nullable": true}}, {"input": 2}]}]}
178 """
179  target = {'F___index__': [2, 3, 4], 'F_a': [4, 2, 9], 'F_b': [2, 1, 3]}
180  cursor = engine.executeRA(ra)
181  batch = cursor.getArrowRecordBatch()
182  assert batch.to_pydict() == target
183 
184 if __name__ == "__main__":
185  pytest.main(["-v", __file__])
def test_import_table
Definition: test_ra.py:23
def test_iloc
Definition: test_ra.py:68
def test_filter_drop
Definition: test_ra.py:168
def test_projection
Definition: test_ra.py:34
def test_init
Definition: test_ra.py:11
def test_filter_with_index
Definition: test_ra.py:129
def test_drop
Definition: test_ra.py:49
def test_empty
Definition: test_ra.py:94
def test_filter
Definition: test_ra.py:109
def test_filter_proj
Definition: test_ra.py:152