SQL Expressions: Add more functions to the allowlist (#103546)

* SQL Expressions: Allow many more functions and nodes

* Also allow the `REGEXP_SUBSTR` function

* Add window functions

* add more JSON support, remove now and current time (for now)

---------

Co-authored-by: Kyle Brandt <kyle@grafana.com>
This commit is contained in:
Sam Jewell
2025-04-07 19:23:39 +01:00
committed by GitHub
parent 21fe9480a1
commit f8a72214cf
2 changed files with 161 additions and 17 deletions

View File

@ -28,8 +28,13 @@ func TestAllowQuery(t *testing.T) {
err: nil,
},
{
name: "all allowed functions",
q: example_all_allowed_functions,
name: "many allowed functions",
q: example_many_allowed_functions,
err: nil,
},
{
name: "many more allowed functions",
q: example_many_more_allowed_functions,
err: nil,
},
{
@ -77,6 +82,16 @@ func TestAllowQuery(t *testing.T) {
q: `SELECT '2024-04-01 15:30:00' BETWEEN '2024-04-01 15:29:00' AND '2024-04-01 15:31:00'`,
err: nil,
},
{
name: "window functions",
q: example_window_functions,
err: nil,
},
{
name: "json table",
q: "SELECT * FROM mockGitHubIssuesDSResponse, JSON_TABLE(labels, '$[*]' COLUMNS(val VARCHAR(255) PATH '$')) AS jt WHERE CAST(jt.val AS CHAR) LIKE 'type%'",
err: nil,
},
}
for _, tc := range testCases {
t.Run(tc.name, func(t *testing.T) {
@ -174,15 +189,15 @@ var example_case_statement = `SELECT
END AS category
FROM metrics`
var example_all_allowed_functions = `WITH sample_data AS (
var example_many_allowed_functions = `WITH sample_data AS (
SELECT
100 AS value,
'example' AS name,
NOW() AS created_at
'2025-01-01 00:00:00' AS created_at
UNION ALL SELECT
50 AS value,
'test' AS name,
DATE_SUB(NOW(), INTERVAL 1 DAY) AS created_at
DATE_SUB('2025-01-01 00:00:00', INTERVAL 1 DAY) AS created_at
)
SELECT
-- Conditional functions
@ -229,17 +244,15 @@ SELECT
-- Date functions
STR_TO_DATE('2023-01-01', '%Y-%m-%d') AS date_str_to_date,
DATE_FORMAT(NOW(), '%Y-%m-%d') AS date_format,
NOW() AS date_now,
CURDATE() AS date_curdate,
CURTIME() AS date_curtime,
DATE_FORMAT('2025-01-01 00:00:00', '%Y-%m-%d') AS date_format,
'2025-01-01 00:00:00' AS date_now,
DATE_ADD(created_at, INTERVAL 1 DAY) AS date_add,
DATE_SUB(created_at, INTERVAL 1 DAY) AS date_sub,
YEAR(created_at) AS date_year,
MONTH(created_at) AS date_month,
DAY(created_at) AS date_day,
WEEKDAY(created_at) AS date_weekday,
DATEDIFF(NOW(), created_at) AS date_datediff,
DATEDIFF('2025-01-01 00:00:00', created_at) AS date_datediff,
UNIX_TIMESTAMP(created_at) AS date_unix_timestamp,
FROM_UNIXTIME(1634567890) AS date_from_unixtime,
@ -261,3 +274,84 @@ var example_json_functions = `SELECT
JSON_LENGTH('{"a": 1, "b": {"c": 3}}') AS json_len,
JSON_SEARCH('{"a": "xyz", "b": "abc"}', 'one', 'abc') AS json_search,
JSON_TYPE('{"a": 1}') AS json_type`
var example_many_more_allowed_functions = `
SELECT
-- Math functions
LN(10) as ln_val,
TRUNCATE(12.345, 2) as truncate_val,
SIN(0.5) as sin_val,
COS(0.5) as cos_val,
TAN(0.5) as tan_val,
ASIN(0.5) as asin_val,
ACOS(0.5) as acos_val,
ATAN(0.5) as atan_val,
ATAN2(1, 2) as atan2_val,
RAND() as rand_val,
PI() as pi_val,
-- String functions
LEFT('hello', 2) as left_val,
RIGHT('hello', 2) as right_val,
LTRIM(' hello') as ltrim_val,
RTRIM('hello ') as rtrim_val,
REPLACE('hello', 'l', 'x') as replace_val,
REVERSE('hello') as reverse_val,
LCASE('HELLO') as lcase_val,
UCASE('hello') as ucase_val,
MID('hello', 2, 2) as mid_val,
REPEAT('a', 3) as repeat_val,
POSITION('l' IN 'hello') as position_val,
INSTR('hello', 'l') as instr_val,
LOCATE('l', 'hello') as locate_val,
ASCII('A') as ascii_val,
ORD('A') as ord_val,
CHAR(65) as char_val,
REGEXP_SUBSTR('hello world', 'world') as regexp_substr_val,
-- Date functions
EXTRACT(YEAR FROM '2023-01-01') as extract_val,
HOUR('12:34:56') as hour_val,
MINUTE('12:34:56') as minute_val,
SECOND('12:34:56') as second_val,
DAYNAME('2023-01-01') as dayname_val,
MONTHNAME('2023-01-01') as monthname_val,
DAYOFWEEK('2023-01-01') as dayofweek_val,
DAYOFMONTH('2023-01-01') as dayofmonth_val,
DAYOFYEAR('2023-01-01') as dayofyear_val,
WEEK('2023-01-01') as week_val,
QUARTER('2023-01-01') as quarter_val,
TIME_TO_SEC('12:34:56') as time_to_sec_val,
SEC_TO_TIME(45296) as sec_to_time_val,
TIMESTAMPDIFF(HOUR, '2023-01-01', '2023-01-02') as timestampdiff_val,
TIMESTAMPADD(HOUR, 1, '2023-01-01') as timestampadd_val,
-- Type conversion
CONVERT(12.34, CHAR) as convert_val,
-- JSON functions
JSON_MERGE_PATCH('{"a": 1}', '{"b": 2}') as json_merge_patch_val,
JSON_VALID('{"a": 1}') as json_valid_val,
JSON_KEYS('{"a": 1, "b": 2}') as json_keys_val,
JSON_QUOTE('hello') as json_quote_val,
JSON_INSERT('{"a": 1}', '$.b', 2) as json_insert_val,
JSON_REPLACE('{"a": 1, "b": 2}', '$.b', 3) as json_replace_val
FROM dual;`
var example_window_functions = `
WITH dummy_data AS (
SELECT 1 as val, 'apple' as txt
UNION ALL SELECT 2, 'banana'
UNION ALL SELECT 3, 'cherry'
)
SELECT
val,
txt,
ROW_NUMBER() OVER (ORDER BY val) as row_num,
RANK() OVER (ORDER BY val) as rank_val,
DENSE_RANK() OVER (ORDER BY val) as dense_rank_val,
LEAD(val) OVER (ORDER BY val) as lead_val,
LAG(val) OVER (ORDER BY val) as lag_val,
FIRST_VALUE(val) OVER (ORDER BY val) as first_val,
LAST_VALUE(val) OVER (ORDER BY val ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) as last_val
FROM dummy_data;`