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242 lines
6.0 KiB
Go
242 lines
6.0 KiB
Go
package sql
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import (
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"testing"
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"github.com/stretchr/testify/require"
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)
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func TestAllowQuery(t *testing.T) {
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testCases := []struct {
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name string
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q string
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err error
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}{
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{
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name: "a big catch all for now",
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q: example_metrics_query,
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err: nil,
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},
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{
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name: "an example from todd",
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q: example_argo_commit_example,
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err: nil,
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},
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{
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name: "case statement",
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q: example_case_statement,
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err: nil,
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},
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{
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name: "all allowed functions",
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q: example_all_allowed_functions,
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err: nil,
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},
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{
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name: "paren select allowed",
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q: `(SELECT * FROM a_table) UNION ALL (SELECT * FROM a_table2)`,
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err: nil,
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},
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{
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name: "allows keywords 'is', 'not', 'null'",
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q: `SELECT * FROM a_table WHERE a_column IS NOT NULL`,
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err: nil,
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},
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{
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name: "null literal",
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q: `SELECT 1 as id, NULL as null_col`,
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err: nil,
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},
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{
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name: "val tuple in read query",
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q: `SELECT 1 WHERE 1 IN (1, 2, 3)`,
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err: nil,
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},
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{
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name: "group concat in read query",
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q: `SELECT 1 as id, GROUP_CONCAT('will_', 'concatenate') as concat_val`,
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err: nil,
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},
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{
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name: "collate in read query",
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q: `SELECT 'some text' COLLATE utf8mb4_bin`,
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err: nil,
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},
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{
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name: "allow substring_index",
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q: `SELECT __value__, SUBSTRING_INDEX(name, '.', -1) AS code FROM A`,
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err: nil,
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},
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}
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for _, tc := range testCases {
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t.Run(tc.name, func(t *testing.T) {
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_, err := AllowQuery(tc.q)
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if tc.err != nil {
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require.Error(t, err)
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} else {
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require.NoError(t, err)
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}
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})
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}
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}
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var example_metrics_query = `WITH
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metrics_this_month AS (
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SELECT
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Month,
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namespace,
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sum(BillableSeries) AS billable_series
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FROM metrics
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WHERE
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Month = "2024-11"
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GROUP BY
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Month,
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namespace
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ORDER BY billable_series DESC
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),
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total_metrics AS (
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SELECT SUM(billable_series) AS metrics_billable_series_total
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FROM metrics_this_month
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),
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total_traces AS (
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-- "usage" is a reserved keyword in MySQL. Quote it with backticks.
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SELECT SUM(value) AS traces_usage_total
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FROM traces
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),
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usage_by_team AS (
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SELECT
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COALESCE(teams.team, 'unaccounted') AS team,
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1 + 0 AS team_count,
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-- Metrics
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SUM(COALESCE(metrics_this_month.billable_series, 0)) AS metrics_billable_series,
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-- Traces
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SUM(COALESCE(traces.value, 0)) AS traces_usage
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-- FROM teams
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-- FULL OUTER JOIN metrics_this_month
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FROM metrics_this_month
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FULL OUTER JOIN teams
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ON teams.namespace = metrics_this_month.namespace
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FULL OUTER JOIN traces
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ON teams.namespace = traces.namespace
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GROUP BY
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-- COALESCE(teams.team, 'unaccounted')
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teams.team
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ORDER BY metrics_billable_series DESC
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)
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SELECT *
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FROM usage_by_team
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CROSS JOIN total_metrics
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CROSS JOIN total_traces`
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var example_argo_commit_example = `WITH
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gh AS
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(SELECT Count(*) AS commits
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FROM
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(SELECT *
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FROM oss_repo
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UNION ALL SELECT *
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FROM ent_repo) AS ent_repos),
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argo_success AS
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(SELECT IF(argo.status = 'Succeeded', argo.value, 0) AS value FROM argo),
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argo_failure AS
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(SELECT IF(argo.status = 'Failed', argo.value, 0) AS value FROM argo)
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SELECT IF(env.value > 1, TRUE, workflows.runs < 1 OR gh.commits < 1) AS status,
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gh.commits AS 'merged commits to main (OSS + enterprise)',
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drone.value AS 'enterprise downstream publish',
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workflows.runs AS 'github trigger instant workflow runs today',
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argo_success.value AS 'argo success',
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argo_failure.value AS 'argo failure',
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(env.value - 1) AS 'new dev instant deployments'
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FROM drone,
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env,
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gh,
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argo_success,
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argo_failure,
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workflows;`
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var example_case_statement = `SELECT
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value,
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CASE
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WHEN value > 100 THEN 'High'
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WHEN value > 50 THEN 'Medium'
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ELSE 'Low'
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END AS category
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FROM metrics`
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var example_all_allowed_functions = `WITH sample_data AS (
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SELECT
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100 AS value,
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'example' AS name,
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NOW() AS created_at
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UNION ALL SELECT
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50 AS value,
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'test' AS name,
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DATE_SUB(NOW(), INTERVAL 1 DAY) AS created_at
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)
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SELECT
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-- Conditional functions
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IF(value > 100, 'High', 'Low') AS conditional_if,
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COALESCE(value, 0) AS conditional_coalesce,
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IFNULL(value, 0) AS conditional_ifnull,
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NULLIF(value, 0) AS conditional_nullif,
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-- Aggregation functions
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SUM(value) AS agg_sum,
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AVG(value) AS agg_avg,
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COUNT(*) AS agg_count,
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MIN(value) AS agg_min,
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MAX(value) AS agg_max,
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STDDEV(value) AS agg_stddev,
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STD(value) AS agg_std,
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STDDEV_POP(value) AS agg_stddev_pop,
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VARIANCE(value) AS agg_variance,
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VAR_POP(value) AS agg_var_pop,
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-- Mathematical functions
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ABS(value) AS math_abs,
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ROUND(value, 2) AS math_round,
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FLOOR(value) AS math_floor,
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CEILING(value) AS math_ceiling,
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CEIL(value) AS math_ceil,
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SQRT(ABS(value)) AS math_sqrt,
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POW(value, 2) AS math_pow,
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POWER(value, 2) AS math_power,
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MOD(value, 10) AS math_mod,
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LOG(value) AS math_log,
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LOG10(value) AS math_log10,
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EXP(value) AS math_exp,
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SIGN(value) AS math_sign,
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-- String functions
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CONCAT('value: ', CAST(value AS CHAR)) AS str_concat,
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LENGTH(name) AS str_length,
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CHAR_LENGTH(name) AS str_char_length,
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LOWER(name) AS str_lower,
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UPPER(name) AS str_upper,
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SUBSTRING(name, 1, 5) AS str_substring,
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TRIM(name) AS str_trim,
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-- Date functions
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STR_TO_DATE('2023-01-01', '%Y-%m-%d') AS date_str_to_date,
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DATE_FORMAT(NOW(), '%Y-%m-%d') AS date_format,
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NOW() AS date_now,
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CURDATE() AS date_curdate,
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CURTIME() AS date_curtime,
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DATE_ADD(created_at, INTERVAL 1 DAY) AS date_add,
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DATE_SUB(created_at, INTERVAL 1 DAY) AS date_sub,
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YEAR(created_at) AS date_year,
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MONTH(created_at) AS date_month,
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DAY(created_at) AS date_day,
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WEEKDAY(created_at) AS date_weekday,
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DATEDIFF(NOW(), created_at) AS date_datediff,
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UNIX_TIMESTAMP(created_at) AS date_unix_timestamp,
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FROM_UNIXTIME(1634567890) AS date_from_unixtime,
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-- Type conversion
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CAST(value AS CHAR) AS type_cast,
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CONVERT(value, CHAR) AS type_convert
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FROM sample_data
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GROUP BY name, value, created_at
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LIMIT 10`
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