1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
|
from sqlglot import ErrorLevel, ParseError, UnsupportedError, transpile
from tests.dialects.test_dialect import Validator
class TestBigQuery(Validator):
dialect = "bigquery"
def test_bigquery(self):
self.validate_all(
'"""x"""',
write={
"bigquery": "'x'",
"duckdb": "'x'",
"presto": "'x'",
"hive": "'x'",
"spark": "'x'",
},
)
self.validate_all(
'"""x\'"""',
write={
"bigquery": "'x\\''",
"duckdb": "'x'''",
"presto": "'x'''",
"hive": "'x\\''",
"spark": "'x\\''",
},
)
self.validate_all(
r'r"""/\*.*\*/"""',
write={
"bigquery": r"'/\\*.*\\*/'",
"duckdb": r"'/\*.*\*/'",
"presto": r"'/\*.*\*/'",
"hive": r"'/\\*.*\\*/'",
"spark": r"'/\\*.*\\*/'",
},
)
self.validate_all(
R'R"""/\*.*\*/"""',
write={
"bigquery": R"'/\\*.*\\*/'",
"duckdb": R"'/\*.*\*/'",
"presto": R"'/\*.*\*/'",
"hive": R"'/\\*.*\\*/'",
"spark": R"'/\\*.*\\*/'",
},
)
self.validate_all(
"CAST(a AS INT64)",
write={
"bigquery": "CAST(a AS INT64)",
"duckdb": "CAST(a AS BIGINT)",
"presto": "CAST(a AS BIGINT)",
"hive": "CAST(a AS BIGINT)",
"spark": "CAST(a AS LONG)",
},
)
self.validate_all(
"CAST(a AS NUMERIC)",
write={
"bigquery": "CAST(a AS NUMERIC)",
"duckdb": "CAST(a AS DECIMAL)",
"presto": "CAST(a AS DECIMAL)",
"hive": "CAST(a AS DECIMAL)",
"spark": "CAST(a AS DECIMAL)",
},
)
self.validate_all(
"[1, 2, 3]",
read={
"duckdb": "LIST_VALUE(1, 2, 3)",
"presto": "ARRAY[1, 2, 3]",
"hive": "ARRAY(1, 2, 3)",
"spark": "ARRAY(1, 2, 3)",
},
write={
"bigquery": "[1, 2, 3]",
"duckdb": "LIST_VALUE(1, 2, 3)",
"presto": "ARRAY[1, 2, 3]",
"hive": "ARRAY(1, 2, 3)",
"spark": "ARRAY(1, 2, 3)",
},
)
self.validate_all(
"SELECT * FROM UNNEST(['7', '14']) AS x",
read={
"spark": "SELECT * FROM UNNEST(ARRAY('7', '14')) AS (x)",
},
write={
"bigquery": "SELECT * FROM UNNEST(['7', '14']) AS x",
"presto": "SELECT * FROM UNNEST(ARRAY['7', '14']) AS (x)",
"hive": "SELECT * FROM UNNEST(ARRAY('7', '14')) AS (x)",
"spark": "SELECT * FROM UNNEST(ARRAY('7', '14')) AS (x)",
},
)
self.validate_all(
"x IS unknown",
write={
"bigquery": "x IS NULL",
"duckdb": "x IS NULL",
"presto": "x IS NULL",
"hive": "x IS NULL",
"spark": "x IS NULL",
},
)
self.validate_all(
"current_datetime",
write={
"bigquery": "CURRENT_DATETIME()",
"duckdb": "CURRENT_DATETIME()",
"presto": "CURRENT_DATETIME()",
"hive": "CURRENT_DATETIME()",
"spark": "CURRENT_DATETIME()",
},
)
self.validate_all(
"current_time",
write={
"bigquery": "CURRENT_TIME()",
"duckdb": "CURRENT_TIME()",
"presto": "CURRENT_TIME()",
"hive": "CURRENT_TIME()",
"spark": "CURRENT_TIME()",
},
)
self.validate_all(
"current_timestamp",
write={
"bigquery": "CURRENT_TIMESTAMP()",
"duckdb": "CURRENT_TIMESTAMP()",
"postgres": "CURRENT_TIMESTAMP",
"presto": "CURRENT_TIMESTAMP()",
"hive": "CURRENT_TIMESTAMP()",
"spark": "CURRENT_TIMESTAMP()",
},
)
self.validate_all(
"current_timestamp()",
write={
"bigquery": "CURRENT_TIMESTAMP()",
"duckdb": "CURRENT_TIMESTAMP()",
"postgres": "CURRENT_TIMESTAMP",
"presto": "CURRENT_TIMESTAMP()",
"hive": "CURRENT_TIMESTAMP()",
"spark": "CURRENT_TIMESTAMP()",
},
)
self.validate_identity(
"SELECT ROW() OVER (y ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING) FROM x WINDOW y AS (PARTITION BY CATEGORY)"
)
self.validate_identity(
"SELECT LAST_VALUE(a IGNORE NULLS) OVER y FROM x WINDOW y AS (PARTITION BY CATEGORY)",
)
self.validate_all(
"CREATE TABLE db.example_table (col_a struct<struct_col_a:int, struct_col_b:string>)",
write={
"bigquery": "CREATE TABLE db.example_table (col_a STRUCT<struct_col_a INT64, struct_col_b STRING>)",
"duckdb": "CREATE TABLE db.example_table (col_a STRUCT<struct_col_a INT, struct_col_b TEXT>)",
"presto": "CREATE TABLE db.example_table (col_a ROW(struct_col_a INTEGER, struct_col_b VARCHAR))",
"hive": "CREATE TABLE db.example_table (col_a STRUCT<struct_col_a INT, struct_col_b STRING>)",
"spark": "CREATE TABLE db.example_table (col_a STRUCT<struct_col_a: INT, struct_col_b: STRING>)",
},
)
self.validate_all(
"CREATE TABLE db.example_table (col_a STRUCT<struct_col_a INT64, struct_col_b STRUCT<nested_col_a STRING, nested_col_b STRING>>)",
write={
"bigquery": "CREATE TABLE db.example_table (col_a STRUCT<struct_col_a INT64, struct_col_b STRUCT<nested_col_a STRING, nested_col_b STRING>>)",
"presto": "CREATE TABLE db.example_table (col_a ROW(struct_col_a BIGINT, struct_col_b ROW(nested_col_a VARCHAR, nested_col_b VARCHAR)))",
"hive": "CREATE TABLE db.example_table (col_a STRUCT<struct_col_a BIGINT, struct_col_b STRUCT<nested_col_a STRING, nested_col_b STRING>>)",
"spark": "CREATE TABLE db.example_table (col_a STRUCT<struct_col_a: LONG, struct_col_b: STRUCT<nested_col_a: STRING, nested_col_b: STRING>>)",
},
)
self.validate_all(
"SELECT * FROM a WHERE b IN UNNEST([1, 2, 3])",
write={
"bigquery": "SELECT * FROM a WHERE b IN UNNEST([1, 2, 3])",
"mysql": "SELECT * FROM a WHERE b IN (SELECT UNNEST(ARRAY(1, 2, 3)))",
"presto": "SELECT * FROM a WHERE b IN (SELECT UNNEST(ARRAY[1, 2, 3]))",
"hive": "SELECT * FROM a WHERE b IN (SELECT UNNEST(ARRAY(1, 2, 3)))",
"spark": "SELECT * FROM a WHERE b IN (SELECT UNNEST(ARRAY(1, 2, 3)))",
},
)
# Reference: https://cloud.google.com/bigquery/docs/reference/standard-sql/query-syntax#set_operators
with self.assertRaises(UnsupportedError):
transpile(
"SELECT * FROM a INTERSECT ALL SELECT * FROM b",
write="bigquery",
unsupported_level=ErrorLevel.RAISE,
)
with self.assertRaises(UnsupportedError):
transpile(
"SELECT * FROM a EXCEPT ALL SELECT * FROM b",
write="bigquery",
unsupported_level=ErrorLevel.RAISE,
)
with self.assertRaises(ParseError):
transpile("SELECT * FROM UNNEST(x) AS x(y)", read="bigquery")
self.validate_all(
"DATE_SUB(CURRENT_DATE(), INTERVAL 1 DAY)",
write={
"postgres": "CURRENT_DATE - INTERVAL '1' DAY",
},
)
self.validate_all(
"DATE_ADD(CURRENT_DATE(), INTERVAL 1 DAY)",
write={
"bigquery": "DATE_ADD(CURRENT_DATE, INTERVAL 1 DAY)",
"duckdb": "CURRENT_DATE + INTERVAL 1 DAY",
"mysql": "DATE_ADD(CURRENT_DATE, INTERVAL 1 DAY)",
"postgres": "CURRENT_DATE + INTERVAL '1' DAY",
"presto": "DATE_ADD(DAY, 1, CURRENT_DATE)",
"hive": "DATE_ADD(CURRENT_DATE, 1)",
"spark": "DATE_ADD(CURRENT_DATE, 1)",
},
)
self.validate_all(
"CURRENT_DATE('UTC')",
write={
"mysql": "CURRENT_DATE AT TIME ZONE 'UTC'",
"postgres": "CURRENT_DATE AT TIME ZONE 'UTC'",
},
)
self.validate_all(
"SELECT a FROM test WHERE a = 1 GROUP BY a HAVING a = 2 QUALIFY z ORDER BY a LIMIT 10",
write={
"bigquery": "SELECT a FROM test WHERE a = 1 GROUP BY a HAVING a = 2 QUALIFY z ORDER BY a LIMIT 10",
"snowflake": "SELECT a FROM test WHERE a = 1 GROUP BY a HAVING a = 2 QUALIFY z ORDER BY a NULLS FIRST LIMIT 10",
},
)
self.validate_all(
"SELECT cola, colb FROM (VALUES (1, 'test')) AS tab(cola, colb)",
write={
"spark": "SELECT cola, colb FROM (VALUES (1, 'test')) AS tab(cola, colb)",
"bigquery": "SELECT cola, colb FROM UNNEST([STRUCT(1 AS cola, 'test' AS colb)])",
"snowflake": "SELECT cola, colb FROM (VALUES (1, 'test')) AS tab(cola, colb)",
},
)
self.validate_all(
"SELECT * FROM (SELECT a, b, c FROM test) PIVOT(SUM(b) d, COUNT(*) e FOR c IN ('x', 'y'))",
write={
"bigquery": "SELECT * FROM (SELECT a, b, c FROM test) PIVOT(SUM(b) AS d, COUNT(*) AS e FOR c IN ('x', 'y'))",
},
)
def test_user_defined_functions(self):
self.validate_identity(
"CREATE TEMPORARY FUNCTION a(x FLOAT64, y FLOAT64) RETURNS FLOAT64 LANGUAGE js AS 'return x*y;'"
)
self.validate_identity("CREATE TEMPORARY FUNCTION a(x FLOAT64, y FLOAT64) AS ((x + 4) / y)")
self.validate_identity("CREATE TABLE FUNCTION a(x INT64) RETURNS TABLE <q STRING, r INT64> AS SELECT s, t")
|
