GetGenetica/jearx-gemma4-e4b-text2sql-sota
Text Generation • Updated
prompt stringlengths 169 37.8k | completion stringlengths 30 1.53k | source_tag stringclasses 11
values | evidence stringlengths 0 673 | exec_acc float64 -1 1 | has_cte bool 2
classes | has_window bool 2
classes |
|---|---|---|---|---|---|---|
You are a Tray POS SQL expert. Generate a valid Snowflake SQL SELECT query for the question below. Output the SQL only — no explanation.
Schema:
-- FLORAOS.TRAY.FACT_TRAY_CHECK_DAY_V1
-- One row per (SITE_ID, CHECKID, BUSINESS_DATE). All monetary values in USD.
CREATE TABLE FACT_TRAY_CHECK_DAY_V1 (
SITE_ID ... | SELECT SUM(NET_SALES_AMOUNT) AS TOTAL_NET_SALES
FROM FLORAOS.TRAY.FACT_TRAY_CHECK_DAY_V1
WHERE BUSINESS_DATE = DATEADD('day', -1, CURRENT_DATE())
AND CHECK_CLASS = 'STANDARD' | tray | BUSINESS_DATE already has the -4hr business day offset. Filter CHECK_CLASS = 'STANDARD' to exclude voided and third-party checks. NET_SALES_AMOUNT = gross - voids - discounts - comps. | -1 | false | false |
You are a Tray POS SQL expert. Generate a valid Snowflake SQL SELECT query for the question below. Output the SQL only — no explanation.
Schema:
-- FLORAOS.TRAY.FACT_TRAY_CHECK_DAY_V1
-- One row per (SITE_ID, CHECKID, BUSINESS_DATE). All monetary values in USD.
CREATE TABLE FACT_TRAY_CHECK_DAY_V1 (
SITE_ID ... | SELECT COUNT(DISTINCT CHECKID) AS CHECK_COUNT
FROM FLORAOS.TRAY.FACT_TRAY_CHECK_DAY_V1
WHERE BUSINESS_DATE = CURRENT_DATE()
AND CHECK_CLASS = 'STANDARD' | tray | BUSINESS_DATE = CURRENT_DATE() matches today's business day (midnight to midnight after -4hr shift). | -1 | false | false |
You are a Tray POS SQL expert. Generate a valid Snowflake SQL SELECT query for the question below. Output the SQL only — no explanation.
Schema:
-- FLORAOS.TRAY.FACT_TRAY_CHECK_DAY_V1
-- One row per (SITE_ID, CHECKID, BUSINESS_DATE). All monetary values in USD.
CREATE TABLE FACT_TRAY_CHECK_DAY_V1 (
SITE_ID ... | SELECT
ITEMPLU,
SUM(QUANTITY) AS TOTAL_QTY
FROM FLORAOS.TRAY.INT_TRAY_ITEMS_CLEAN_V1
WHERE BUSINESS_DATE >= DATEADD('week', -1, DATE_TRUNC('week', CURRENT_DATE()))
AND BUSINESS_DATE < DATE_TRUNC('week', CURRENT_DATE())
AND ACTION_FAMILY = 'BASE_SALE'
AND IS_MODIFIER = FALSE
GROUP BY ITEMPLU
ORDER BY TOTAL... | tray | Use ACTION_FAMILY = 'BASE_SALE' to count base item sales only (not modifiers). IS_MODIFIER = FALSE is redundant but defensive. Week boundaries use DATE_TRUNC to avoid off-by-one business day errors. | -1 | false | false |
You are a Tray POS SQL expert. Generate a valid Snowflake SQL SELECT query for the question below. Output the SQL only — no explanation.
Schema:
-- FLORAOS.TRAY.FACT_TRAY_CHECK_DAY_V1
-- One row per (SITE_ID, CHECKID, BUSINESS_DATE). All monetary values in USD.
CREATE TABLE FACT_TRAY_CHECK_DAY_V1 (
SITE_ID ... | SELECT
DAYNAME(BUSINESS_DATE) AS DAY_OF_WEEK,
DAYOFWEEK(BUSINESS_DATE) AS DOW_NUM,
COUNT(DISTINCT CHECKID) AS CHECK_COUNT,
SUM(NET_SALES_AMOUNT) AS TOTAL_NET_SALES,
ROUND(SUM(NET_SALES_AMOUNT) / NULLIF(COUNT(DISTINCT CHECKID), 0), 2) AS AVG_CHECK_SIZE
FROM FLORAOS.TRAY.FACT_TRAY_CHECK_DAY_V1
WHERE B... | tray | Use NULLIF to avoid division by zero on days with no checks. DAYOFWEEK returns 0=Sunday in Snowflake. | -1 | false | false |
You are a Tray POS SQL expert. Generate a valid Snowflake SQL SELECT query for the question below. Output the SQL only — no explanation.
Schema:
-- FLORAOS.TRAY.FACT_TRAY_CHECK_DAY_V1
-- One row per (SITE_ID, CHECKID, BUSINESS_DATE). All monetary values in USD.
CREATE TABLE FACT_TRAY_CHECK_DAY_V1 (
SITE_ID ... | SELECT
BUSINESS_DATE,
SUM(NET_DISCOUNT_COMP_AMOUNT) AS TOTAL_ADJUSTMENTS,
SUM(SALES_SCOPE_GROSS_AMOUNT) AS GROSS_SALES,
ROUND(
100.0 * SUM(NET_DISCOUNT_COMP_AMOUNT) / NULLIF(SUM(SALES_SCOPE_GROSS_AMOUNT), 0),
2
) AS DISCOUNT_RATE_PCT
FROM FLORAOS.TRAY.FACT_TRAY_CHECK_DAY_V1
WHERE BUS... | tray | NET_DISCOUNT_COMP_AMOUNT already nets out removed discounts/comps — no need to subtract manually. | -1 | false | false |
You are a Tray POS SQL expert. Generate a valid Snowflake SQL SELECT query for the question below. Output the SQL only — no explanation.
Schema:
-- FLORAOS.TRAY.FACT_TRAY_CHECK_DAY_V1
-- One row per (SITE_ID, CHECKID, BUSINESS_DATE). All monetary values in USD.
CREATE TABLE FACT_TRAY_CHECK_DAY_V1 (
SITE_ID ... | SELECT
i.ITEMPLU,
SUM(i.PRICE * i.QUANTITY) AS ITEM_GROSS_REVENUE,
COUNT(DISTINCT i.CHECKID) AS CHECK_COUNT
FROM FLORAOS.TRAY.INT_TRAY_ITEMS_CLEAN_V1 i
JOIN FLORAOS.TRAY.INT_TRAY_CHECKS_CLEAN_V1 c
ON i.SITE_ID = c.SITE_ID AND i.CHECKID = c.CHECKID
WHERE i.BUSINESS_DATE >= DATE_TRUNC('month', CURRENT_DATE(... | tray | Exclude GIFTCARD and SERVICECHARGE via ITEMTYPE_UPPER filter. Join to INT_TRAY_CHECKS_CLEAN_V1 to apply CHECK_CLASS = 'STANDARD' at check level. ACTION_FAMILY = 'BASE_SALE' selects base items only. | -1 | false | false |
You are a Tray POS SQL expert. Generate a valid Snowflake SQL SELECT query for the question below. Output the SQL only — no explanation.
Schema:
-- FLORAOS.TRAY.FACT_TRAY_CHECK_DAY_V1
-- One row per (SITE_ID, CHECKID, BUSINESS_DATE). All monetary values in USD.
CREATE TABLE FACT_TRAY_CHECK_DAY_V1 (
SITE_ID ... | SELECT
SITE_ID,
EMPLOYEEID,
SUM(NET_SALES_AMOUNT) AS NET_SALES,
RANK() OVER (PARTITION BY SITE_ID ORDER BY SUM(NET_SALES_AMOUNT) DESC) AS SITE_RANK
FROM FLORAOS.TRAY.FACT_TRAY_CHECK_DAY_V1
WHERE BUSINESS_DATE >= DATEADD('week', -1, DATE_TRUNC('week', CURRENT_DATE()))
AND BUSINESS_DATE < DATE_TRUNC('we... | tray | RANK() with PARTITION BY SITE_ID gives per-site ranking. EMPLOYEEID IS NOT NULL filters system/kiosk checks. | -1 | false | true |
You are a Tray POS SQL expert. Generate a valid Snowflake SQL SELECT query for the question below. Output the SQL only — no explanation.
Schema:
-- FLORAOS.TRAY.FACT_TRAY_CHECK_DAY_V1
-- One row per (SITE_ID, CHECKID, BUSINESS_DATE). All monetary values in USD.
CREATE TABLE FACT_TRAY_CHECK_DAY_V1 (
SITE_ID ... | SELECT
SITE_ID,
BUSINESS_DATE,
SUM(NET_SALES_AMOUNT) AS DAILY_NET_SALES,
ROUND(
AVG(SUM(NET_SALES_AMOUNT)) OVER (
PARTITION BY SITE_ID
ORDER BY BUSINESS_DATE
ROWS BETWEEN 6 PRECEDING AND CURRENT ROW
),
2
) AS ROLLING_7D_AVG
FROM FLORAOS.TRA... | tray | Fetch 37 days to have 7 days of warmup for the rolling window. ROWS BETWEEN 6 PRECEDING AND CURRENT ROW = 7-day window. Nested aggregate AVG(SUM(...)) requires grouping before windowing. | -1 | false | true |
You are a Tray POS SQL expert. Generate a valid Snowflake SQL SELECT query for the question below. Output the SQL only — no explanation.
Schema:
-- FLORAOS.TRAY.FACT_TRAY_CHECK_DAY_V1
-- One row per (SITE_ID, CHECKID, BUSINESS_DATE). All monetary values in USD.
CREATE TABLE FACT_TRAY_CHECK_DAY_V1 (
SITE_ID ... | SELECT
SITE_ID,
COUNT(DISTINCT CHECKID) AS TOTAL_CHECKS,
COUNT(DISTINCT CASE WHEN HAD_VOID_FLAG = 1 THEN CHECKID END) AS CHECKS_WITH_VOIDS,
ROUND(
100.0 * COUNT(DISTINCT CASE WHEN HAD_VOID_FLAG = 1 THEN CHECKID END)
/ NULLIF(COUNT(DISTINCT CHECKID), 0),
2
) AS VOID_CHECK_PCT
... | tray | HAD_VOID_FLAG is a 0/1 column — use CASE WHEN inside COUNT(DISTINCT) for conditional counting. | -1 | false | false |
You are a Tray POS SQL expert. Generate a valid Snowflake SQL SELECT query for the question below. Output the SQL only — no explanation.
Schema:
-- FLORAOS.TRAY.FACT_TRAY_CHECK_DAY_V1
-- One row per (SITE_ID, CHECKID, BUSINESS_DATE). All monetary values in USD.
CREATE TABLE FACT_TRAY_CHECK_DAY_V1 (
SITE_ID ... | SELECT
EMPLOYEEID,
COUNT(DISTINCT CHECKID) AS CHECK_COUNT,
SUM(NET_COMP_AMOUNT) AS TOTAL_COMPS,
SUM(SALES_SCOPE_GROSS_AMOUNT) AS GROSS_SALES,
ROUND(
100.0 * SUM(NET_COMP_AMOUNT) / NULLIF(SUM(SALES_SCOPE_GROSS_AMOUNT), 0),
2
) AS COMP_RATE_PCT
FROM FLORAOS.TRAY.FACT_TRAY_CHECK_DAY... | tray | NET_COMP_AMOUNT is the comp field (gifts, manager overrides). HAVING >= 5 checks filters noise. Last week = DATEADD('day', -7, CURRENT_DATE()). | -1 | false | false |
You are a Tray POS SQL expert. Generate a valid Snowflake SQL SELECT query for the question below. Output the SQL only — no explanation.
Schema:
-- FLORAOS.TRAY.FACT_TRAY_CHECK_DAY_V1
-- One row per (SITE_ID, CHECKID, BUSINESS_DATE). All monetary values in USD.
CREATE TABLE FACT_TRAY_CHECK_DAY_V1 (
SITE_ID ... | SELECT
SITE_ID,
COUNT(DISTINCT CHECKID) AS CHECK_COUNT,
SUM(NET_SALES_AMOUNT) AS TOTAL_NET_SALES,
ROUND(SUM(NET_SALES_AMOUNT) / NULLIF(COUNT(DISTINCT CHECKID), 0), 2) AS AVG_CHECK_SIZE
FROM FLORAOS.TRAY.FACT_TRAY_CHECK_DAY_V1
WHERE BUSINESS_DATE = CURRENT_DATE()
AND CHECK_CLASS = 'STANDARD'
GROUP BY S... | tray | AVG check size = NET_SALES_AMOUNT / check count. Today = CURRENT_DATE() (already -4hr shifted). | -1 | false | false |
You are a Tray POS SQL expert. Generate a valid Snowflake SQL SELECT query for the question below. Output the SQL only — no explanation.
Schema:
-- FLORAOS.TRAY.FACT_TRAY_CHECK_DAY_V1
-- One row per (SITE_ID, CHECKID, BUSINESS_DATE). All monetary values in USD.
CREATE TABLE FACT_TRAY_CHECK_DAY_V1 (
SITE_ID ... | SELECT
SITE_ID,
COUNT(DISTINCT BUSINESS_DATE) AS DAYS_ACTIVE,
SUM(NET_SALES_AMOUNT) AS TOTAL_NET_SALES,
ROUND(SUM(NET_SALES_AMOUNT) / NULLIF(COUNT(DISTINCT BUSINESS_DATE), 0), 2) AS AVG_DAILY_NET_SALES
FROM FLORAOS.TRAY.FACT_TRAY_CHECK_DAY_V1
WHERE BUSINESS_DATE >= DATEADD('day', -30, CURRENT_DATE())
... | tray | Site comparison = GROUP BY SITE_ID + ORDER BY sales. 30-day window. | -1 | false | false |
You are a Tray POS SQL expert. Generate a valid Snowflake SQL SELECT query for the question below. Output the SQL only — no explanation.
Schema:
-- FLORAOS.TRAY.FACT_TRAY_CHECK_DAY_V1
-- One row per (SITE_ID, CHECKID, BUSINESS_DATE). All monetary values in USD.
CREATE TABLE FACT_TRAY_CHECK_DAY_V1 (
SITE_ID ... | SELECT
ITEMPLU,
SUM(PRICE * QUANTITY) AS REVENUE_CONTRIBUTION,
SUM(QUANTITY) AS TOTAL_QTY,
ROUND(
100.0 * SUM(PRICE * QUANTITY)
/ NULLIF(SUM(SUM(PRICE * QUANTITY)) OVER (), 0),
2
) AS REVENUE_SHARE_PCT
FROM FLORAOS.TRAY.INT_TRAY_ITEMS_CLEAN_V1
WHERE BUSINESS_DATE >= DATE_TRUN... | tray | Revenue contribution = PRICE * QUANTITY per item. Window SUM() OVER () gives revenue share without a subquery. ACTION_FAMILY = 'BASE_SALE' excludes modifiers and adjustments. | -1 | false | true |
You are a Tray POS SQL expert. Generate a valid Snowflake SQL SELECT query for the question below. Output the SQL only — no explanation.
Schema:
-- FLORAOS.TRAY.FACT_TRAY_CHECK_DAY_V1
-- One row per (SITE_ID, CHECKID, BUSINESS_DATE). All monetary values in USD.
CREATE TABLE FACT_TRAY_CHECK_DAY_V1 (
SITE_ID ... | SELECT
SITE_ID,
SUM(NET_SALES_AMOUNT) AS TOTAL_NET_SALES
FROM FLORAOS.TRAY.FACT_TRAY_CHECK_DAY_V1
WHERE BUSINESS_DATE >= DATEADD('day', -7, CURRENT_DATE())
AND CHECK_CLASS = 'STANDARD'
GROUP BY SITE_ID
ORDER BY TOTAL_NET_SALES DESC
LIMIT 1 | tray | Which location = ORDER BY total sales DESC LIMIT 1. Last week = last 7 days. | -1 | false | false |
You are a Tray POS SQL expert. Generate a valid Snowflake SQL SELECT query for the question below. Output the SQL only — no explanation.
Schema:
-- FLORAOS.TRAY.FACT_TRAY_CHECK_DAY_V1
-- One row per (SITE_ID, CHECKID, BUSINESS_DATE). All monetary values in USD.
CREATE TABLE FACT_TRAY_CHECK_DAY_V1 (
SITE_ID ... | SELECT
SITE_ID,
SUM(NET_SALES_AMOUNT) AS NET_SALES,
COUNT(DISTINCT CHECKID) AS CHECK_COUNT,
ROUND(SUM(NET_SALES_AMOUNT) / NULLIF(COUNT(DISTINCT CHECKID), 0), 2) AS AVG_CHECK
FROM FLORAOS.TRAY.FACT_TRAY_CHECK_DAY_V1
WHERE BUSINESS_DATE >= DATEADD('day', -7, CURRENT_DATE())
AND CHECK_CLASS = 'STANDARD'
... | tray | By location = GROUP BY SITE_ID. Last week window = DATEADD('day', -7, CURRENT_DATE()). | -1 | false | false |
You are a Tray POS SQL expert. Generate a valid Snowflake SQL SELECT query for the question below. Output the SQL only — no explanation.
Schema:
-- FLORAOS.TRAY.FACT_TRAY_CHECK_DAY_V1
-- One row per (SITE_ID, CHECKID, BUSINESS_DATE). All monetary values in USD.
CREATE TABLE FACT_TRAY_CHECK_DAY_V1 (
SITE_ID ... | SELECT
BUSINESS_DATE,
SUM(NET_SALES_AMOUNT) AS DAILY_NET_SALES,
AVG(SUM(NET_SALES_AMOUNT)) OVER (
ORDER BY BUSINESS_DATE
ROWS BETWEEN 6 PRECEDING AND CURRENT ROW
) AS ROLLING_7D_AVG
FROM FLORAOS.TRAY.FACT_TRAY_CHECK_DAY_V1
WHERE BUSINESS_DATE >= DATEADD('day', -30, CURRENT_DATE())
AND ... | tray | Trending = daily + 7-day rolling average. Shows direction without noise from day-to-day variance. | -1 | false | true |
You are a Tray POS SQL expert. Generate a valid Snowflake SQL SELECT query for the question below. Output the SQL only — no explanation.
Schema:
-- FLORAOS.TRAY.FACT_TRAY_CHECK_DAY_V1
-- One row per (SITE_ID, CHECKID, BUSINESS_DATE). All monetary values in USD.
CREATE TABLE FACT_TRAY_CHECK_DAY_V1 (
SITE_ID ... | SELECT
SITE_ID,
ITEM_NAME,
SUM(NET_SALES_AMOUNT) AS NET_SALES,
COUNT(*) AS QUANTITY,
RANK() OVER (PARTITION BY SITE_ID ORDER BY SUM(NET_SALES_AMOUNT) DESC) AS SITE_RANK
FROM FLORAOS.TRAY.INT_TRAY_ITEMS_CLEAN_V1
WHERE BUSINESS_DATE >= DATE_TRUNC('month', CURRENT_DATE())
AND ACTION_FAMILY = 'BASE_SA... | tray | Top items per site = RANK() OVER PARTITION BY SITE_ID. QUALIFY top 10 per site. | -1 | false | true |
You are a Tray POS SQL expert. Generate a valid Snowflake SQL SELECT query for the question below. Output the SQL only — no explanation.
Schema:
-- FLORAOS.TRAY.FACT_TRAY_CHECK_DAY_V1
-- One row per (SITE_ID, CHECKID, BUSINESS_DATE). All monetary values in USD.
CREATE TABLE FACT_TRAY_CHECK_DAY_V1 (
SITE_ID ... | SELECT
SITE_ID,
SUM(NET_SALES_AMOUNT) AS WEEKLY_NET_SALES,
COUNT(DISTINCT CHECKID) AS TOTAL_CHECKS,
ROUND(AVG(NET_SALES_AMOUNT / NULLIF(POSTRAFFICCOUNT, 0)), 2) AS AVG_PER_COVER
FROM FLORAOS.TRAY.FACT_TRAY_CHECK_DAY_V1
WHERE BUSINESS_DATE >= DATEADD('day', -7, CURRENT_DATE())
AND CHECK_CLASS = 'STANDA... | tray | Weekly digest across locations = site_comparison with weekly filter. Standard summary. | -1 | false | false |
You are a Tray POS SQL expert. Generate a valid Snowflake SQL SELECT query for the question below. Output the SQL only — no explanation.
Schema:
-- FLORAOS.TRAY.FACT_TRAY_CHECK_DAY_V1
-- One row per (SITE_ID, CHECKID, BUSINESS_DATE). All monetary values in USD.
CREATE TABLE FACT_TRAY_CHECK_DAY_V1 (
SITE_ID ... | SELECT
BUSINESS_DATE,
COUNT(DISTINCT CHECKID) AS REVENUE_CHECKS,
SUM(NET_SALES_AMOUNT) AS NET_SALES
FROM FLORAOS.TRAY.FACT_TRAY_CHECK_DAY_V1
WHERE BUSINESS_DATE >= DATEADD('day', -7, CURRENT_DATE())
AND CHECK_CLASS = 'STANDARD'
AND NET_SALES_AMOUNT > 0
GROUP BY BUSINESS_DATE
ORDER BY BUSINESS_DATE | tray | Revenue-generating checks only = NET_SALES_AMOUNT > 0 and CHECK_CLASS = STANDARD. | -1 | false | false |
You are a Tray POS SQL expert. Generate a valid Snowflake SQL SELECT query for the question below. Output the SQL only — no explanation.
Schema:
-- FLORAOS.TRAY.FACT_TRAY_CHECK_DAY_V1
-- One row per (SITE_ID, CHECKID, BUSINESS_DATE). All monetary values in USD.
CREATE TABLE FACT_TRAY_CHECK_DAY_V1 (
SITE_ID ... | SELECT
I.ITEM_NAME,
SUM(I.NET_SALES_AMOUNT) AS NET_SALES,
COUNT(*) AS QUANTITY
FROM FLORAOS.TRAY.INT_TRAY_ITEMS_CLEAN_V1 I
WHERE I.BUSINESS_DATE >= DATEADD('day', -7, CURRENT_DATE())
AND I.ACTION_FAMILY = 'BASE_SALE'
GROUP BY I.ITEM_NAME
ORDER BY NET_SALES DESC | tray | Base items only = ACTION_FAMILY = 'BASE_SALE'. Excludes modifiers, service charges, comps. | -1 | false | false |
You are a Tray POS SQL expert. Generate a valid Snowflake SQL SELECT query for the question below. Output the SQL only — no explanation.
Schema:
-- FLORAOS.TRAY.FACT_TRAY_CHECK_DAY_V1
-- One row per (SITE_ID, CHECKID, BUSINESS_DATE). All monetary values in USD.
CREATE TABLE FACT_TRAY_CHECK_DAY_V1 (
SITE_ID ... | SELECT
BUSINESS_DATE,
SUM(CASE WHEN TENDER_TYPE = 'CASH' THEN PAYMENT_AMOUNT ELSE 0 END) AS CASH_AMOUNT,
COUNT(CASE WHEN TENDER_TYPE = 'CASH' THEN 1 END) AS CASH_COUNT
FROM FLORAOS.TRAY.FACT_TRAY_CHECK_DAY_V1
WHERE BUSINESS_DATE >= DATEADD('day', -7, CURRENT_DATE())
AND CHECK_CLASS = 'STANDARD'
GROUP BY B... | tray | Cash-only filter = TENDER_TYPE = 'CASH'. Exclude card/digital. Summary by date. | -1 | false | false |
You are a Tray POS SQL expert. Generate a valid Snowflake SQL SELECT query for the question below. Output the SQL only — no explanation.
Schema:
-- FLORAOS.TRAY.FACT_TRAY_CHECK_DAY_V1
-- One row per (SITE_ID, CHECKID, BUSINESS_DATE). All monetary values in USD.
CREATE TABLE FACT_TRAY_CHECK_DAY_V1 (
SITE_ID ... | SELECT
COUNT(DISTINCT CHECKID) AS OPEN_CHECKS,
SUM(SALES_SCOPE_GROSS_AMOUNT) AS OPEN_GROSS_SALES
FROM FLORAOS.TRAY.FACT_TRAY_CHECK_DAY_V1
WHERE BUSINESS_DATE = CURRENT_DATE()
AND STATUS = 'OPEN'
AND CHECK_CLASS = 'STANDARD' | tray | Open checks = STATUS = 'OPEN' on today's business date. Real-time count. | -1 | false | false |
You are a Tray POS SQL expert. Generate a valid Snowflake SQL SELECT query for the question below. Output the SQL only — no explanation.
Schema:
-- FLORAOS.TRAY.FACT_TRAY_CHECK_DAY_V1
-- One row per (SITE_ID, CHECKID, BUSINESS_DATE). All monetary values in USD.
CREATE TABLE FACT_TRAY_CHECK_DAY_V1 (
SITE_ID ... | SELECT
ITEM_NAME,
SUM(NET_SALES_AMOUNT) AS NET_SALES,
ROUND(SUM(NET_SALES_AMOUNT) / NULLIF(SUM(SALES_SCOPE_GROSS_AMOUNT), 0), 4) AS MARGIN_RATIO
FROM FLORAOS.TRAY.INT_TRAY_ITEMS_CLEAN_V1
WHERE BUSINESS_DATE >= DATEADD('day', -7, CURRENT_DATE())
AND ACTION_FAMILY = 'BASE_SALE'
GROUP BY ITEM_NAME
ORDER BY M... | tray | Top items by margin = rank BASE_SALE items by NET_SALES_AMOUNT / GROSS_AMOUNT ratio. | -1 | false | false |
You are a Tray POS SQL expert. Generate a valid Snowflake SQL SELECT query for the question below. Output the SQL only — no explanation.
Schema:
-- FLORAOS.TRAY.FACT_TRAY_CHECK_DAY_V1
-- One row per (SITE_ID, CHECKID, BUSINESS_DATE). All monetary values in USD.
CREATE TABLE FACT_TRAY_CHECK_DAY_V1 (
SITE_ID ... | SELECT
SITE_ID,
ROUND(AVG(NET_SALES_AMOUNT), 2) AS AVG_SALES,
ROUND(STDDEV(NET_SALES_AMOUNT), 2) AS STDDEV_SALES,
ROUND(STDDEV(NET_SALES_AMOUNT) / NULLIF(AVG(NET_SALES_AMOUNT), 0), 4) AS CV
FROM FLORAOS.TRAY.FACT_TRAY_CHECK_DAY_V1
WHERE BUSINESS_DATE >= DATEADD('month', -1, CURRENT_DATE())
AND CHECK_C... | tray | Stddev of daily sales by site = variability analysis. Used for anomaly detection. | -1 | false | false |
You are a Tray POS SQL expert. Generate a valid Snowflake SQL SELECT query for the question below. Output the SQL only — no explanation.
Schema:
-- FLORAOS.TRAY.FACT_TRAY_CHECK_DAY_V1
-- One row per (SITE_ID, CHECKID, BUSINESS_DATE). All monetary values in USD.
CREATE TABLE FACT_TRAY_CHECK_DAY_V1 (
SITE_ID ... | SELECT
BUSINESS_DATE,
SUM(NET_SALES_AMOUNT) AS DAILY_NET_SALES
FROM FLORAOS.TRAY.FACT_TRAY_CHECK_DAY_V1
WHERE BUSINESS_DATE >= DATEADD('day', -14, CURRENT_DATE())
AND CHECK_CLASS = 'STANDARD'
GROUP BY BUSINESS_DATE
ORDER BY BUSINESS_DATE | tray | Daily trend = ordered time series over 14 days. Shows direction and momentum. | -1 | false | false |
You are a Tray POS SQL expert. Generate a valid Snowflake SQL SELECT query for the question below. Output the SQL only — no explanation.
Schema:
-- FLORAOS.TRAY.FACT_TRAY_CHECK_DAY_V1
-- One row per (SITE_ID, CHECKID, BUSINESS_DATE). All monetary values in USD.
CREATE TABLE FACT_TRAY_CHECK_DAY_V1 (
SITE_ID ... | SELECT
'This Week' AS PERIOD,
SUM(NET_SALES_AMOUNT) AS NET_SALES,
COUNT(DISTINCT CHECKID) AS CHECKS
FROM FLORAOS.TRAY.FACT_TRAY_CHECK_DAY_V1
WHERE BUSINESS_DATE >= DATEADD('week', -1, CURRENT_DATE())
AND CHECK_CLASS = 'STANDARD'
UNION ALL
SELECT
'Same Week Last Year' AS PERIOD,
SUM(NET_SALES_AMOUN... | tray | YoY comparison: this week vs same calendar week last year. Union two date windows. | -1 | false | false |
You are a Tray POS SQL expert. Generate a valid Snowflake SQL SELECT query for the question below. Output the SQL only — no explanation.
Schema:
-- FLORAOS.TRAY.FACT_TRAY_CHECK_DAY_V1
-- One row per (SITE_ID, CHECKID, BUSINESS_DATE). All monetary values in USD.
CREATE TABLE FACT_TRAY_CHECK_DAY_V1 (
SITE_ID ... | SELECT
'MTD' AS PERIOD,
SUM(NET_SALES_AMOUNT) AS NET_SALES
FROM FLORAOS.TRAY.FACT_TRAY_CHECK_DAY_V1
WHERE BUSINESS_DATE >= DATE_TRUNC('month', CURRENT_DATE())
AND CHECK_CLASS = 'STANDARD'
UNION ALL
SELECT
'Last MTD' AS PERIOD,
SUM(NET_SALES_AMOUNT) AS NET_SALES
FROM FLORAOS.TRAY.FACT_TRAY_CHECK_DAY_V1... | tray | MTD comparison: current month-to-date vs same elapsed days in prior month. | -1 | false | false |
You are a Tray POS SQL expert. Generate a valid Snowflake SQL SELECT query for the question below. Output the SQL only — no explanation.
Schema:
-- FLORAOS.TRAY.FACT_TRAY_CHECK_DAY_V1
-- One row per (SITE_ID, CHECKID, BUSINESS_DATE). All monetary values in USD.
CREATE TABLE FACT_TRAY_CHECK_DAY_V1 (
SITE_ID ... | SELECT
SITE_ID,
ROUND(AVG(NET_SALES_AMOUNT), 2) AS AVG_DAILY_SALES,
ROUND(STDDEV(NET_SALES_AMOUNT), 2) AS STD_DEV,
ROUND(STDDEV(NET_SALES_AMOUNT) / NULLIF(AVG(NET_SALES_AMOUNT), 0), 4) AS CV
FROM FLORAOS.TRAY.FACT_TRAY_CHECK_DAY_V1
WHERE BUSINESS_DATE >= DATEADD('day', -30, CURRENT_DATE())
AND CHECK_C... | tray | Consistency = coefficient of variation (std dev / mean). Higher CV = less consistent. | -1 | false | false |
You are a Tray POS SQL expert. Generate a valid Snowflake SQL SELECT query for the question below. Output the SQL only — no explanation.
Schema:
-- FLORAOS.TRAY.FACT_TRAY_CHECK_DAY_V1
-- One row per (SITE_ID, CHECKID, BUSINESS_DATE). All monetary values in USD.
CREATE TABLE FACT_TRAY_CHECK_DAY_V1 (
SITE_ID ... | SELECT
HOUR(OPEN_TS_LOCAL) AS HOUR_OF_DAY,
SUM(NET_SALES_AMOUNT) AS HOURLY_SALES,
COUNT(DISTINCT CHECKID) AS CHECK_COUNT
FROM FLORAOS.TRAY.FACT_TRAY_CHECK_DAY_V1
WHERE BUSINESS_DATE = CURRENT_DATE()
AND CHECK_CLASS = 'STANDARD'
GROUP BY HOUR(OPEN_TS_LOCAL)
ORDER BY HOUR_OF_DAY | tray | Hourly intraday pattern. HOUR(OPEN_TS_LOCAL) extracts hour from check open timestamp. | -1 | false | false |
You are a Tray POS SQL expert. Generate a valid Snowflake SQL SELECT query for the question below. Output the SQL only — no explanation.
Schema:
-- FLORAOS.TRAY.FACT_TRAY_CHECK_DAY_V1
-- One row per (SITE_ID, CHECKID, BUSINESS_DATE). All monetary values in USD.
CREATE TABLE FACT_TRAY_CHECK_DAY_V1 (
SITE_ID ... | SELECT
CASE
WHEN HOUR(OPEN_TS_LOCAL) BETWEEN 6 AND 10 THEN 'Breakfast'
WHEN HOUR(OPEN_TS_LOCAL) BETWEEN 11 AND 14 THEN 'Lunch'
WHEN HOUR(OPEN_TS_LOCAL) BETWEEN 15 AND 17 THEN 'Afternoon'
ELSE 'Dinner'
END AS SHIFT,
SUM(NET_SALES_AMOUNT) AS NET_SALES,
COUNT(DISTINCT CHECKI... | tray | Shift breakdown = group hours into named dayparts. Shift is derived from OPEN_TS_LOCAL hour. | -1 | false | false |
You are a Tray POS SQL expert. Generate a valid Snowflake SQL SELECT query for the question below. Output the SQL only — no explanation.
Schema:
-- FLORAOS.TRAY.FACT_TRAY_CHECK_DAY_V1
-- One row per (SITE_ID, CHECKID, BUSINESS_DATE). All monetary values in USD.
CREATE TABLE FACT_TRAY_CHECK_DAY_V1 (
SITE_ID ... | SELECT
HOUR(OPEN_TS_LOCAL) AS HOUR_OF_DAY,
SUM(NET_SALES_AMOUNT) AS CUMULATIVE_SALES,
COUNT(DISTINCT CHECKID) AS CHECKS,
ROUND(SUM(NET_SALES_AMOUNT) / NULLIF(COUNT(DISTINCT CHECKID), 0), 2) AS AVG_CHECK
FROM FLORAOS.TRAY.FACT_TRAY_CHECK_DAY_V1
WHERE BUSINESS_DATE = CURRENT_DATE()
AND OPEN_TS_LOCAL <= ... | tray | Intraday velocity = cumulative sales by hour up to current time. Shows sales pace. | -1 | false | false |
You are a Tray POS SQL expert. Generate a valid Snowflake SQL SELECT query for the question below. Output the SQL only — no explanation.
Schema:
CREATE TABLE TRAY_SITES (
ID NUMBER PRIMARY KEY,
VENUEID VARCHAR,
NAME VARCHAR,
STORENUMBER VARCHAR,
ADDRESS V... | SELECT * FROM FLORAOS.TRAY.TRAY_SITES SAMPLE (10 ROWS) | tray | STATUS='OPEN' filters to active locations only. | -1 | false | false |
You are a Tray POS SQL expert. Generate a valid Snowflake SQL SELECT query for the question below. Output the SQL only — no explanation.
Schema:
CREATE TABLE TRAY_SITES (
ID NUMBER PRIMARY KEY,
VENUEID VARCHAR,
NAME VARCHAR,
STORENUMBER VARCHAR,
ADDRESS V... | SELECT CURRENT_TIMESTAMP(), COUNT(*) FROM FLORAOS.TRAY.TRAY_SITES | tray | STATUS='OPEN' filters to active locations only. | -1 | false | false |
You are a Tray POS SQL expert. Generate a valid Snowflake SQL SELECT query for the question below. Output the SQL only — no explanation.
Schema:
CREATE TABLE TRAY_SITES (
ID NUMBER PRIMARY KEY,
VENUEID VARCHAR,
NAME VARCHAR,
STORENUMBER VARCHAR,
ADDRESS V... | SELECT TYPEOF(VENUEID) FROM FLORAOS.TRAY.TRAY_SITES LIMIT 1 | tray | STATUS='OPEN' filters to active locations only. | -1 | false | false |
You are a Tray POS SQL expert. Generate a valid Snowflake SQL SELECT query for the question below. Output the SQL only — no explanation.
Schema:
CREATE TABLE TRAY_SITES (
ID NUMBER PRIMARY KEY,
VENUEID VARCHAR,
NAME VARCHAR,
STORENUMBER VARCHAR,
ADDRESS V... | SELECT * FROM FLORAOS.TRAY.TRAY_SITES | tray | STATUS='OPEN' filters to active locations only. | -1 | false | false |
You are a Tray POS SQL expert. Generate a valid Snowflake SQL SELECT query for the question below. Output the SQL only — no explanation.
Schema:
CREATE TABLE TRAY_SITES (
ID NUMBER PRIMARY KEY,
VENUEID VARCHAR,
NAME VARCHAR,
STORENUMBER VARCHAR,
ADDRESS V... | SELECT VENUEID, NAME, STORENUMBER FROM FLORAOS.TRAY.TRAY_SITES | tray | STATUS='OPEN' filters to active locations only. | -1 | false | false |
You are a Tray POS SQL expert. Generate a valid Snowflake SQL SELECT query for the question below. Output the SQL only — no explanation.
Schema:
CREATE TABLE TRAY_SITES (
ID NUMBER PRIMARY KEY,
VENUEID VARCHAR,
NAME VARCHAR,
STORENUMBER VARCHAR,
ADDRESS V... | SELECT * FROM FLORAOS.TRAY.TRAY_SITES LIMIT 10 | tray | STATUS='OPEN' filters to active locations only. | -1 | false | false |
You are a Tray POS SQL expert. Generate a valid Snowflake SQL SELECT query for the question below. Output the SQL only — no explanation.
Schema:
CREATE TABLE TRAY_SITES (
ID NUMBER PRIMARY KEY,
VENUEID VARCHAR,
NAME VARCHAR,
STORENUMBER VARCHAR,
ADDRESS V... | SELECT COUNT(*) FROM FLORAOS.TRAY.TRAY_SITES | tray | STATUS='OPEN' filters to active locations only. | -1 | false | false |
You are a Tray POS SQL expert. Generate a valid Snowflake SQL SELECT query for the question below. Output the SQL only — no explanation.
Schema:
CREATE TABLE TRAY_SITES (
ID NUMBER PRIMARY KEY,
VENUEID VARCHAR,
NAME VARCHAR,
STORENUMBER VARCHAR,
ADDRESS V... | SELECT * FROM FLORAOS.TRAY.TRAY_SITES WHERE VENUEID = 'example' | tray | STATUS='OPEN' filters to active locations only. | -1 | false | false |
You are a Tray POS SQL expert. Generate a valid Snowflake SQL SELECT query for the question below. Output the SQL only — no explanation.
Schema:
CREATE TABLE TRAY_SITES (
ID NUMBER PRIMARY KEY,
VENUEID VARCHAR,
NAME VARCHAR,
STORENUMBER VARCHAR,
ADDRESS V... | SELECT * FROM FLORAOS.TRAY.TRAY_SITES WHERE VENUEID IS NULL | tray | STATUS='OPEN' filters to active locations only. | -1 | false | false |
You are a Tray POS SQL expert. Generate a valid Snowflake SQL SELECT query for the question below. Output the SQL only — no explanation.
Schema:
CREATE TABLE TRAY_SITES (
ID NUMBER PRIMARY KEY,
VENUEID VARCHAR,
NAME VARCHAR,
STORENUMBER VARCHAR,
ADDRESS V... | SELECT MIN(LAT), MAX(LAT) FROM FLORAOS.TRAY.TRAY_SITES | tray | STATUS='OPEN' filters to active locations only. | -1 | false | false |
You are a Tray POS SQL expert. Generate a valid Snowflake SQL SELECT query for the question below. Output the SQL only — no explanation.
Schema:
CREATE TABLE TRAY_SITES (
ID NUMBER PRIMARY KEY,
VENUEID VARCHAR,
NAME VARCHAR,
STORENUMBER VARCHAR,
ADDRESS V... | SELECT * FROM FLORAOS.TRAY.TRAY_SITES WHERE VENUEID::DATE = CURRENT_DATE() | tray | STATUS='OPEN' filters to active locations only. | -1 | false | false |
You are a Tray POS SQL expert. Generate a valid Snowflake SQL SELECT query for the question below. Output the SQL only — no explanation.
Schema:
CREATE TABLE TRAY_SITES (
ID NUMBER PRIMARY KEY,
VENUEID VARCHAR,
NAME VARCHAR,
STORENUMBER VARCHAR,
ADDRESS V... | SELECT * FROM FLORAOS.TRAY.TRAY_SITES WHERE VENUEID ILIKE '%'example'%' | tray | STATUS='OPEN' filters to active locations only. | -1 | false | false |
You are a Tray POS SQL expert. Generate a valid Snowflake SQL SELECT query for the question below. Output the SQL only — no explanation.
Schema:
CREATE TABLE TRAY_SITES (
ID NUMBER PRIMARY KEY,
VENUEID VARCHAR,
NAME VARCHAR,
STORENUMBER VARCHAR,
ADDRESS V... | SELECT DATE_TRUNC('month', VENUEID::TIMESTAMP) AS month, COUNT(*) FROM FLORAOS.TRAY.TRAY_SITES GROUP BY month ORDER BY month | tray | STATUS='OPEN' filters to active locations only. | -1 | false | false |
You are a Tray POS SQL expert. Generate a valid Snowflake SQL SELECT query for the question below. Output the SQL only — no explanation.
Schema:
CREATE TABLE TRAY_SITES (
ID NUMBER PRIMARY KEY,
VENUEID VARCHAR,
NAME VARCHAR,
STORENUMBER VARCHAR,
ADDRESS V... | SELECT DATEDIFF('day', MIN(VENUEID::DATE), MAX(VENUEID::DATE)) AS span_days FROM FLORAOS.TRAY.TRAY_SITES | tray | STATUS='OPEN' filters to active locations only. | -1 | false | false |
You are a Tray POS SQL expert. Generate a valid Snowflake SQL SELECT query for the question below. Output the SQL only — no explanation.
Schema:
CREATE TABLE TRAY_SITES (
ID NUMBER PRIMARY KEY,
VENUEID VARCHAR,
NAME VARCHAR,
STORENUMBER VARCHAR,
ADDRESS V... | SELECT IFF(LAT > 0, 'positive', 'non-positive') AS sign, COUNT(*) FROM FLORAOS.TRAY.TRAY_SITES GROUP BY sign | tray | STATUS='OPEN' filters to active locations only. | -1 | false | false |
You are a Tray POS SQL expert. Generate a valid Snowflake SQL SELECT query for the question below. Output the SQL only — no explanation.
Schema:
CREATE TABLE TRAY_SITES (
ID NUMBER PRIMARY KEY,
VENUEID VARCHAR,
NAME VARCHAR,
STORENUMBER VARCHAR,
ADDRESS V... | SELECT * FROM FLORAOS.TRAY.TRAY_SITES WHERE VENUEID RLIKE '^[A-Z].*' | tray | STATUS='OPEN' filters to active locations only. | -1 | false | false |
You are a Tray POS SQL expert. Generate a valid Snowflake SQL SELECT query for the question below. Output the SQL only — no explanation.
Schema:
CREATE TABLE TRAY_SITES (
ID NUMBER PRIMARY KEY,
VENUEID VARCHAR,
NAME VARCHAR,
STORENUMBER VARCHAR,
ADDRESS V... | SELECT ARRAY_AGG(VENUEID) WITHIN GROUP (ORDER BY VENUEID) FROM FLORAOS.TRAY.TRAY_SITES | tray | STATUS='OPEN' filters to active locations only. | -1 | false | false |
You are a Tray POS SQL expert. Generate a valid Snowflake SQL SELECT query for the question below. Output the SQL only — no explanation.
Schema:
CREATE TABLE TRAY_SITES (
ID NUMBER PRIMARY KEY,
VENUEID VARCHAR,
NAME VARCHAR,
STORENUMBER VARCHAR,
ADDRESS V... | SELECT UPPER(TRIM(VENUEID)) AS cleaned, COUNT(*) FROM FLORAOS.TRAY.TRAY_SITES GROUP BY cleaned ORDER BY COUNT(*) DESC | tray | STATUS='OPEN' filters to active locations only. | -1 | false | false |
You are a Tray POS SQL expert. Generate a valid Snowflake SQL SELECT query for the question below. Output the SQL only — no explanation.
Schema:
CREATE TABLE TRAY_SITES (
ID NUMBER PRIMARY KEY,
VENUEID VARCHAR,
NAME VARCHAR,
STORENUMBER VARCHAR,
ADDRESS V... | SELECT COALESCE(VENUEID, NAME, 'N/A') AS resolved FROM FLORAOS.TRAY.TRAY_SITES | tray | STATUS='OPEN' filters to active locations only. | -1 | false | false |
You are a Tray POS SQL expert. Generate a valid Snowflake SQL SELECT query for the question below. Output the SQL only — no explanation.
Schema:
CREATE TABLE TRAY_SITES (
ID NUMBER PRIMARY KEY,
VENUEID VARCHAR,
NAME VARCHAR,
STORENUMBER VARCHAR,
ADDRESS V... | SELECT * FROM FLORAOS.TRAY.TRAY_SITES ORDER BY VENUEID ASC | tray | STATUS='OPEN' filters to active locations only. | -1 | false | false |
You are a Tray POS SQL expert. Generate a valid Snowflake SQL SELECT query for the question below. Output the SQL only — no explanation.
Schema:
CREATE TABLE TRAY_SITES (
ID NUMBER PRIMARY KEY,
VENUEID VARCHAR,
NAME VARCHAR,
STORENUMBER VARCHAR,
ADDRESS V... | SELECT * FROM FLORAOS.TRAY.TRAY_SITES ORDER BY VENUEID DESC LIMIT 5 | tray | STATUS='OPEN' filters to active locations only. | -1 | false | false |
You are a Tray POS SQL expert. Generate a valid Snowflake SQL SELECT query for the question below. Output the SQL only — no explanation.
Schema:
CREATE TABLE TRAY_SITES (
ID NUMBER PRIMARY KEY,
VENUEID VARCHAR,
NAME VARCHAR,
STORENUMBER VARCHAR,
ADDRESS V... | SELECT * FROM FLORAOS.TRAY.TRAY_CHECKS SAMPLE (10 ROWS) | tray | Filter IS_VOIDED=false and IS_DELETED=false for revenue metrics. Business day starts at 4am local time. | -1 | false | false |
You are a Tray POS SQL expert. Generate a valid Snowflake SQL SELECT query for the question below. Output the SQL only — no explanation.
Schema:
CREATE TABLE TRAY_SITES (
ID NUMBER PRIMARY KEY,
VENUEID VARCHAR,
NAME VARCHAR,
STORENUMBER VARCHAR,
ADDRESS V... | SELECT CURRENT_TIMESTAMP(), COUNT(*) FROM FLORAOS.TRAY.TRAY_CHECKS | tray | Filter IS_VOIDED=false and IS_DELETED=false for revenue metrics. Business day starts at 4am local time. | -1 | false | false |
End of preview. Expand in Data Studio
No dataset card yet
- Downloads last month
- 7
Models trained or fine-tuned on GetGenetica/jearx-text2sql-training-data