The request

From Jordan Reyes, Head of Marketing
Your goal
order_date is stored in store local time (US Eastern, no time zone attached); in late November 2025 Eastern time is UTC-5, so UTC = order_date + 5 hours. Fix the query: for orders (all statuses) whose UTC time falls from 2025-11-28 00:00 up to but not including 2025-12-02 00:00, return one row per UTC day with: utc_day (a DATE), orders and completed_orders (orders with status 'completed'). Sort by utc_day ascending.
- Read from the
orderstablenot done yet - Show exactly
utc_dayorderscompleted_ordersnot done yet - 4 rows, sorted as askednot done yet
Your query
Loading the editor…
Reference solution
| order_id | customer_id | order_date | status | channel |
|---|---|---|---|---|
| 1001 | 125 | 2023-01-01 20:51:19 | completed | web |
| 1002 | 156 | 2023-01-02 07:58:46 | completed | web |
| 1003 | 22 | 2023-01-02 10:25:27 | completed | marketplace |
| 1004 | 48 | 2023-01-02 11:21:51 | completed | marketplace |
Mote checks your result
Press Run. Each row that matches the goal becomes a firefly in your lantern.
What Jordan gets, and why
Tables
Harbor & Pine store data, ready to query.
orders12,000 rows · 7 columns
order_idintegercustomer_idintegerorder_datetimestampstatusvarcharchannelvarcharshipping_feedecimalcoupon_codevarchar
| order_id | customer_id | order_date | status | channel | shipping_fee | coupon_code |
|---|---|---|---|---|---|---|
| 1001 | 125 | 2023-01-01 20:51:19 | completed | web | 0.00 | NULL |
| 1002 | 156 | 2023-01-02 07:58:46 | completed | web | 0.00 | NULL |
| 1003 | 22 | 2023-01-02 10:25:27 | completed | marketplace | 4.99 | WELCOME10 |
| 1004 | 48 | 2023-01-02 11:21:51 | completed | marketplace | 4.99 | WELCOME10 |
| 1005 | 82 | 2023-01-02 11:43:36 | completed | web | 0.00 | WELCOME10 |
customers2,018 rows · 9 columns
customer_idintegerfirst_namevarcharlast_namevarcharemailvarcharcityvarcharstatevarcharsignup_datedatesegmentvarcharreferral_sourcevarchar
| customer_id | first_name | last_name | city | state | signup_date | segment | referral_source | |
|---|---|---|---|---|---|---|---|---|
| 1 | Owen | Hudson | owen.hudson@icloud.com | San Francisco | CA | 2022-06-02 | consumer | search |
| 2 | Douglas | Mendoza | dmendoza69@gmail.com | Atlanta | GA | 2022-06-02 | consumer | NULL |
| 3 | Henry | Brooks | hbrooks@lakesidecafe.com | Los Angeles | CA | 2022-06-04 | business | NULL |
| 4 | Brian | Graham | bgraham@bluecedarhomes.com | Seattle | WA | 2022-06-06 | business | |
| 5 | Kyle | Jimenez | kjimenez27@yahoo.com | Indianapolis | IN | 2022-06-07 | consumer | NULL |
products120 rows · 8 columns
product_idintegernamevarcharcategoryvarcharsubcategoryvarcharunit_pricedecimalunit_costdecimallaunched_ondateis_activeboolean
| product_id | name | category | subcategory | unit_price | unit_cost | launched_on | is_active |
|---|---|---|---|---|---|---|---|
| 101 | Vale Velvet Loveseat | Furniture | Sofas | 1659.00 | NULL | 2023-09-11 | true |
| 102 | Alder Oak Coffee Table | Furniture | Tables | 919.00 | 503.50 | 2024-05-16 | true |
| 103 | Orchard Rattan Dining Chair | Furniture | Chairs | 789.00 | 429.87 | 2023-05-27 | true |
| 104 | Upland Oak Bookcase | Furniture | Storage | 429.00 | 214.70 | 2022-12-20 | true |
| 105 | Avery Leather Bed Frame | Furniture | Beds | 449.00 | 232.70 | 2021-08-31 | true |
order_items30,338 rows · 6 columns
order_item_idintegerorder_idintegerproduct_idintegerquantityintegerunit_pricedecimaldiscount_pctdecimal
| order_item_id | order_id | product_id | quantity | unit_price | discount_pct |
|---|---|---|---|---|---|
| 1 | 1001 | 121 | 9 | 31.99 | 0.00 |
| 2 | 1001 | 154 | 3 | 11.99 | 0.00 |
| 3 | 1002 | 154 | 4 | 11.99 | 0.00 |
| 4 | 1002 | 194 | 1 | 149.00 | 0.00 |
| 5 | 1002 | 193 | 2 | 19.99 | 0.00 |
returns1,673 rows · 5 columns
return_idintegerorder_item_idintegerreturned_ondatereasonvarcharrefund_amountdecimal
| return_id | order_item_id | returned_on | reason | refund_amount |
|---|---|---|---|---|
| 1 | 14 | 2023-01-10 | damaged | 83.69 |
| 2 | 42 | 2023-01-10 | wrong_item | 19.99 |
| 3 | 105 | 2023-01-14 | wrong_item | 10.99 |
| 4 | 24 | 2023-01-16 | changed_mind | 26.99 |
| 5 | 126 | 2023-01-16 | late | 20.99 |
employees60 rows · 8 columns
employee_idintegerfirst_namevarcharlast_namevarchardepartmentvarchartitlevarcharmanager_idintegerhire_datedatesalaryinteger
| employee_id | first_name | last_name | department | title | manager_id | hire_date | salary |
|---|---|---|---|---|---|---|---|
| 1 | Catherine | Hale | Executive | Chief Executive Officer | NULL | 2016-03-01 | 285000 |
| 2 | Robert | Kim | Executive | Chief Operating Officer | 1 | 2017-01-09 | 235000 |
| 3 | Megan | Collins | Sales | Head of Sales | 1 | 2018-04-16 | 172000 |
| 4 | Chloe | Gutierrez | Sales | Account Executive | 3 | 2020-01-21 | 72000 |
| 5 | Frank | Bell | Sales | Account Executive | 3 | 2023-05-21 | 73000 |
web_sessions40,000 rows · 7 columns
session_idintegercustomer_idintegerstarted_attimestampdevicevarcharsourcevarcharpages_viewedintegerconvertedboolean
| session_id | customer_id | started_at | device | source | pages_viewed | converted |
|---|---|---|---|---|---|---|
| 1 | NULL | 2023-01-01 23:02:24 | mobile | paid | 1 | false |
| 2 | 18 | 2023-01-01 15:07:49 | desktop | paid | 1 | false |
| 3 | NULL | 2023-01-01 16:55:46 | desktop | direct | 7 | false |
| 4 | NULL | 2023-01-01 12:43:28 | mobile | organic | 3 | false |
| 5 | NULL | 2023-01-01 13:06:21 | mobile | social | 2 | false |
marketing_spend3,276 rows · 3 columns
spend_datedatechannelvarcharamountdecimal
| spend_date | channel | amount |
|---|---|---|
| 2023-01-01 | paid | 492.99 |
| 2023-01-01 | 37.38 | |
| 2023-01-01 | social | 200.53 |
| 2023-01-02 | paid | 709.13 |
| 2023-01-02 | 64.13 |
The lesson
Two systems can count the same orders and still disagree every single day. If one counts by Eastern days and the other by UTC days, the evening orders land on different dates.
Local time versus UTC
Harbor & Pine stores order_date in store local time, US Eastern, as a plain TIMESTAMP with no
time zone attached. Ad platforms usually report in UTC. In late November, Eastern Standard Time is
UTC-5: an order at 21:30 on Friday, Nov 28 in New York is 02:30 on Saturday, Nov 29 in UTC.
Orders peak in the evening, so this is not a rounding issue. From 19:00 to midnight on Black Friday alone, 18 orders move to the next UTC day.
What the starter does
It labels local days as utc_day, and filters on local time. Compare the two versions:
| utc_day | starter (local days) | fixed (UTC days) |
|---|---|---|
| 2025-11-28 | 56 | 43 |
| 2025-11-29 | 51 | 55 |
| 2025-11-30 | 58 | 59 |
| 2025-12-01 | 67 | 53 |
The UTC version of Nov 28 runs from 19:00 on Nov 27 to 19:00 on Nov 28 local time.
The fix
Convert once, then use the converted value everywhere:
CAST(order_date + INTERVAL 5 HOUR AS DATE) AS utc_day
...
WHERE order_date + INTERVAL 5 HOUR >= '2025-11-28'
AND order_date + INTERVAL 5 HOUR < '2025-12-02'
A fixed offset is correct here because the whole window falls in standard time: daylight saving
time ended on Nov 2, 2025. Over a range that crosses a DST change, a fixed offset is wrong for part
of it (Eastern is UTC-4 in summer), and you should use a real time zone conversion such as
AT TIME ZONE 'America/New_York' in Postgres or Snowflake’s CONVERT_TIMEZONE, which know the DST
calendar.
Common mistakes
- Shifting the label but not the filter: the window still starts and ends at local midnight, so the first and last UTC days are incomplete.
- Subtracting instead of adding. UTC is ahead of US time zones.
- Assuming a column’s time zone from its name. Check the data documentation or ask the engineer who owns the pipeline.
In SQL Server
SQL Server 2016+ converts with Windows zone names, which handle DST:
SELECT CAST(order_date AT TIME ZONE 'Eastern Standard Time'
AT TIME ZONE 'UTC' AS date) AS utc_day
FROM orders;
The first AT TIME ZONE says what the stored value is; the second converts it. DATEADD(hour, 5, order_date) is the fixed-offset version.
On the job
Ad spend, web analytics and payment systems often each use a different clock. State the time zone next to every daily number you publish.
Lantern lit!
Practised: debuggingtime zonesutctimestampinterval
- Solved
- No hints
- First run
