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
|
import collections.abc
import pyperf
# moz_sql_parser 3.10 compatibility
collections.Iterable = collections.abc.Iterable
# import sqlfluff
# import moz_sql_parser
# import sqloxide
# import sqlparse
# import sqltree
import sqlglot
long = """
SELECT
"e"."employee_id" AS "Employee #",
"e"."first_name" || ' ' || "e"."last_name" AS "Name",
"e"."email" AS "Email",
"e"."phone_number" AS "Phone",
TO_CHAR("e"."hire_date", 'MM/DD/YYYY') AS "Hire Date",
TO_CHAR("e"."salary", 'L99G999D99', 'NLS_NUMERIC_CHARACTERS = ''.,'' NLS_CURRENCY = ''$''') AS "Salary",
"e"."commission_pct" AS "Commission %",
'works as ' || "j"."job_title" || ' in ' || "d"."department_name" || ' department (manager: ' || "dm"."first_name" || ' ' || "dm"."last_name" || ') and immediate supervisor: ' || "m"."first_name" || ' ' || "m"."last_name" AS "Current Job",
TO_CHAR("j"."min_salary", 'L99G999D99', 'NLS_NUMERIC_CHARACTERS = ''.,'' NLS_CURRENCY = ''$''') || ' - ' || TO_CHAR("j"."max_salary", 'L99G999D99', 'NLS_NUMERIC_CHARACTERS = ''.,'' NLS_CURRENCY = ''$''') AS "Current Salary",
"l"."street_address" || ', ' || "l"."postal_code" || ', ' || "l"."city" || ', ' || "l"."state_province" || ', ' || "c"."country_name" || ' (' || "r"."region_name" || ')' AS "Location",
"jh"."job_id" AS "History Job ID",
'worked from ' || TO_CHAR("jh"."start_date", 'MM/DD/YYYY') || ' to ' || TO_CHAR("jh"."end_date", 'MM/DD/YYYY') || ' as ' || "jj"."job_title" || ' in ' || "dd"."department_name" || ' department' AS "History Job Title",
case when 1 then 1 when 2 then 2 when 3 then 3 when 4 then 4 when 5 then 5 else a(b(c + 1 * 3 % 4)) end
FROM "employees" AS e
JOIN "jobs" AS j
ON "e"."job_id" = "j"."job_id"
LEFT JOIN "employees" AS m
ON "e"."manager_id" = "m"."employee_id"
LEFT JOIN "departments" AS d
ON "d"."department_id" = "e"."department_id"
LEFT JOIN "employees" AS dm
ON "d"."manager_id" = "dm"."employee_id"
LEFT JOIN "locations" AS l
ON "d"."location_id" = "l"."location_id"
LEFT JOIN "countries" AS c
ON "l"."country_id" = "c"."country_id"
LEFT JOIN "regions" AS r
ON "c"."region_id" = "r"."region_id"
LEFT JOIN "job_history" AS jh
ON "e"."employee_id" = "jh"."employee_id"
LEFT JOIN "jobs" AS jj
ON "jj"."job_id" = "jh"."job_id"
LEFT JOIN "departments" AS dd
ON "dd"."department_id" = "jh"."department_id"
ORDER BY
"e"."employee_id"
"""
short = "SELECT 1 AS a, CASE WHEN 1 THEN 1 WHEN 2 THEN 2 ELSE 3 END AS b, c FROM x"
crazy = "SELECT 1+"
crazy += "+".join(str(i) for i in range(500))
crazy += " AS a, 2*"
crazy += "*".join(str(i) for i in range(500))
crazy += " AS b FROM x"
tpch = """
WITH "_e_0" AS (
SELECT
"partsupp"."ps_partkey" AS "ps_partkey",
"partsupp"."ps_suppkey" AS "ps_suppkey",
"partsupp"."ps_supplycost" AS "ps_supplycost"
FROM "partsupp" AS "partsupp"
), "_e_1" AS (
SELECT
"region"."r_regionkey" AS "r_regionkey",
"region"."r_name" AS "r_name"
FROM "region" AS "region"
WHERE
"region"."r_name" = 'EUROPE'
)
SELECT
"supplier"."s_acctbal" AS "s_acctbal",
"supplier"."s_name" AS "s_name",
"nation"."n_name" AS "n_name",
"part"."p_partkey" AS "p_partkey",
"part"."p_mfgr" AS "p_mfgr",
"supplier"."s_address" AS "s_address",
"supplier"."s_phone" AS "s_phone",
"supplier"."s_comment" AS "s_comment"
FROM (
SELECT
"part"."p_partkey" AS "p_partkey",
"part"."p_mfgr" AS "p_mfgr",
"part"."p_type" AS "p_type",
"part"."p_size" AS "p_size"
FROM "part" AS "part"
WHERE
"part"."p_size" = 15
AND "part"."p_type" LIKE '%BRASS'
) AS "part"
LEFT JOIN (
SELECT
MIN("partsupp"."ps_supplycost") AS "_col_0",
"partsupp"."ps_partkey" AS "_u_1"
FROM "_e_0" AS "partsupp"
CROSS JOIN "_e_1" AS "region"
JOIN (
SELECT
"nation"."n_nationkey" AS "n_nationkey",
"nation"."n_regionkey" AS "n_regionkey"
FROM "nation" AS "nation"
) AS "nation"
ON "nation"."n_regionkey" = "region"."r_regionkey"
JOIN (
SELECT
"supplier"."s_suppkey" AS "s_suppkey",
"supplier"."s_nationkey" AS "s_nationkey"
FROM "supplier" AS "supplier"
) AS "supplier"
ON "supplier"."s_nationkey" = "nation"."n_nationkey"
AND "supplier"."s_suppkey" = "partsupp"."ps_suppkey"
GROUP BY
"partsupp"."ps_partkey"
) AS "_u_0"
ON "part"."p_partkey" = "_u_0"."_u_1"
CROSS JOIN "_e_1" AS "region"
JOIN (
SELECT
"nation"."n_nationkey" AS "n_nationkey",
"nation"."n_name" AS "n_name",
"nation"."n_regionkey" AS "n_regionkey"
FROM "nation" AS "nation"
) AS "nation"
ON "nation"."n_regionkey" = "region"."r_regionkey"
JOIN "_e_0" AS "partsupp"
ON "part"."p_partkey" = "partsupp"."ps_partkey"
JOIN (
SELECT
"supplier"."s_suppkey" AS "s_suppkey",
"supplier"."s_name" AS "s_name",
"supplier"."s_address" AS "s_address",
"supplier"."s_nationkey" AS "s_nationkey",
"supplier"."s_phone" AS "s_phone",
"supplier"."s_acctbal" AS "s_acctbal",
"supplier"."s_comment" AS "s_comment"
FROM "supplier" AS "supplier"
) AS "supplier"
ON "supplier"."s_nationkey" = "nation"."n_nationkey"
AND "supplier"."s_suppkey" = "partsupp"."ps_suppkey"
WHERE
"partsupp"."ps_supplycost" = "_u_0"."_col_0"
AND NOT "_u_0"."_u_1" IS NULL
ORDER BY
"supplier"."s_acctbal" DESC,
"nation"."n_name",
"supplier"."s_name",
"part"."p_partkey"
LIMIT 100
"""
def sqlglot_parse(sql):
sqlglot.tokens.USE_RS_TOKENIZER = False
sqlglot.parse_one(sql, error_level=sqlglot.ErrorLevel.IGNORE)
def sqlglotrs_parse(sql):
sqlglot.tokens.USE_RS_TOKENIZER = True
sqlglot.parse_one(sql, error_level=sqlglot.ErrorLevel.IGNORE)
def sqltree_parse(sql):
sqltree.api.sqltree(sql.replace('"', "`").replace("''", '"'))
def sqlparse_parse(sql):
sqlparse.parse(sql)
def moz_sql_parser_parse(sql):
moz_sql_parser.parse(sql)
def sqloxide_parse(sql):
sqloxide.parse_sql(sql, dialect="ansi")
def sqlfluff_parse(sql):
sqlfluff.parse(sql)
QUERIES = {"tpch": tpch, "short": short, "long": long, "crazy": crazy}
def run_benchmarks():
runner = pyperf.Runner()
libs = ["sqlglot", "sqlglotrs"]
for lib in libs:
for query_name, sql in QUERIES.items():
bench_name = f"parse_{lib}_{query_name}"
parse_func = globals()[f"{lib}_parse"]
runner.bench_func(bench_name, parse_func, sql)
if __name__ == "__main__":
run_benchmarks()
|
