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Digital Advertising RTB Bidding & Attribution | CREATE TABLE campaigns (campaign_id VARCHAR PRIMARY KEY, campaign_name VARCHAR NOT NULL, advertiser_id VARCHAR NOT NULL, daily_budget DECIMAL(12, 2) NOT NULL, status VARCHAR DEFAULT 'ACTIVE'); CREATE TABLE bid_requests (bid_id VARCHAR PRIMARY KEY, campaign_id VARCHAR REFERENCES campaigns(campaign_id), publisher_id VARC... | List all active campaigns with a daily budget greater than 3000. | SELECT campaign_id, campaign_name, advertiser_id, daily_budget FROM campaigns WHERE status = 'ACTIVE' AND daily_budget > 3000.00; | SELECT campaign_id, campaign_name, advertiser_id, daily_budget FROM campaigns WHERE status = 'ACTIVE' AND daily_budget > 3000.00 | SELECT campaign_id, campaign_name, advertiser_id, daily_budget FROM campaigns WHERE status = 'ACTIVE' AND daily_budget > 3000.00 | SELECT campaign_id, campaign_name, advertiser_id, daily_budget FROM campaigns WHERE status = 'ACTIVE' AND daily_budget > 3000.00 | Simple | true | [
{
"from": "human",
"value": "Schema:\nCREATE TABLE campaigns (campaign_id VARCHAR PRIMARY KEY, campaign_name VARCHAR NOT NULL, advertiser_id VARCHAR NOT NULL, daily_budget DECIMAL(12, 2) NOT NULL, status VARCHAR DEFAULT 'ACTIVE'); CREATE TABLE bid_requests (bid_id VARCHAR PRIMARY KEY, campaign_id VARCHAR RE... |
Digital Advertising RTB Bidding & Attribution | CREATE TABLE campaigns (campaign_id VARCHAR PRIMARY KEY, campaign_name VARCHAR NOT NULL, advertiser_id VARCHAR NOT NULL, daily_budget DECIMAL(12, 2) NOT NULL, status VARCHAR DEFAULT 'ACTIVE'); CREATE TABLE bid_requests (bid_id VARCHAR PRIMARY KEY, campaign_id VARCHAR REFERENCES campaigns(campaign_id), publisher_id VARC... | Find all bid requests that were won by the advertiser. | SELECT bid_id, campaign_id, publisher_id, user_hash, bid_price, created_at FROM bid_requests WHERE won = TRUE; | SELECT bid_id, campaign_id, publisher_id, user_hash, bid_price, created_at FROM bid_requests WHERE won = TRUE | SELECT bid_id, campaign_id, publisher_id, user_hash, bid_price, created_at FROM bid_requests WHERE won = TRUE | SELECT bid_id, campaign_id, publisher_id, user_hash, bid_price, created_at FROM bid_requests WHERE won = TRUE | Simple | true | [
{
"from": "human",
"value": "Schema:\nCREATE TABLE campaigns (campaign_id VARCHAR PRIMARY KEY, campaign_name VARCHAR NOT NULL, advertiser_id VARCHAR NOT NULL, daily_budget DECIMAL(12, 2) NOT NULL, status VARCHAR DEFAULT 'ACTIVE'); CREATE TABLE bid_requests (bid_id VARCHAR PRIMARY KEY, campaign_id VARCHAR RE... |
Digital Advertising RTB Bidding & Attribution | CREATE TABLE campaigns (campaign_id VARCHAR PRIMARY KEY, campaign_name VARCHAR NOT NULL, advertiser_id VARCHAR NOT NULL, daily_budget DECIMAL(12, 2) NOT NULL, status VARCHAR DEFAULT 'ACTIVE'); CREATE TABLE bid_requests (bid_id VARCHAR PRIMARY KEY, campaign_id VARCHAR REFERENCES campaigns(campaign_id), publisher_id VARC... | Retrieve all impressions rendered on MOBILE devices. | SELECT impression_id, bid_id, clearing_price, rendered_at FROM impressions WHERE device_type = 'MOBILE'; | SELECT impression_id, bid_id, clearing_price, rendered_at FROM impressions WHERE device_type = 'MOBILE' | SELECT impression_id, bid_id, clearing_price, rendered_at FROM impressions WHERE device_type = 'MOBILE' | SELECT impression_id, bid_id, clearing_price, rendered_at FROM impressions WHERE device_type = 'MOBILE' | Simple | true | [
{
"from": "human",
"value": "Schema:\nCREATE TABLE campaigns (campaign_id VARCHAR PRIMARY KEY, campaign_name VARCHAR NOT NULL, advertiser_id VARCHAR NOT NULL, daily_budget DECIMAL(12, 2) NOT NULL, status VARCHAR DEFAULT 'ACTIVE'); CREATE TABLE bid_requests (bid_id VARCHAR PRIMARY KEY, campaign_id VARCHAR RE... |
Digital Advertising RTB Bidding & Attribution | CREATE TABLE campaigns (campaign_id VARCHAR PRIMARY KEY, campaign_name VARCHAR NOT NULL, advertiser_id VARCHAR NOT NULL, daily_budget DECIMAL(12, 2) NOT NULL, status VARCHAR DEFAULT 'ACTIVE'); CREATE TABLE bid_requests (bid_id VARCHAR PRIMARY KEY, campaign_id VARCHAR REFERENCES campaigns(campaign_id), publisher_id VARC... | Get a unique list of publisher IDs that sent bid requests. | SELECT DISTINCT publisher_id FROM bid_requests; | SELECT DISTINCT publisher_id FROM bid_requests | SELECT DISTINCT publisher_id FROM bid_requests | SELECT DISTINCT publisher_id FROM bid_requests | Simple | true | [
{
"from": "human",
"value": "Schema:\nCREATE TABLE campaigns (campaign_id VARCHAR PRIMARY KEY, campaign_name VARCHAR NOT NULL, advertiser_id VARCHAR NOT NULL, daily_budget DECIMAL(12, 2) NOT NULL, status VARCHAR DEFAULT 'ACTIVE'); CREATE TABLE bid_requests (bid_id VARCHAR PRIMARY KEY, campaign_id VARCHAR RE... |
Digital Advertising RTB Bidding & Attribution | CREATE TABLE campaigns (campaign_id VARCHAR PRIMARY KEY, campaign_name VARCHAR NOT NULL, advertiser_id VARCHAR NOT NULL, daily_budget DECIMAL(12, 2) NOT NULL, status VARCHAR DEFAULT 'ACTIVE'); CREATE TABLE bid_requests (bid_id VARCHAR PRIMARY KEY, campaign_id VARCHAR REFERENCES campaigns(campaign_id), publisher_id VARC... | Count the total number of recorded attributions. | SELECT COUNT(*) AS total_attributions FROM attributions; | SELECT COUNT(*) AS total_attributions FROM attributions | SELECT COUNT(*) AS total_attributions FROM attributions | SELECT COUNT(*) AS total_attributions FROM attributions | Simple | true | [
{
"from": "human",
"value": "Schema:\nCREATE TABLE campaigns (campaign_id VARCHAR PRIMARY KEY, campaign_name VARCHAR NOT NULL, advertiser_id VARCHAR NOT NULL, daily_budget DECIMAL(12, 2) NOT NULL, status VARCHAR DEFAULT 'ACTIVE'); CREATE TABLE bid_requests (bid_id VARCHAR PRIMARY KEY, campaign_id VARCHAR RE... |
Digital Advertising RTB Bidding & Attribution | CREATE TABLE campaigns (campaign_id VARCHAR PRIMARY KEY, campaign_name VARCHAR NOT NULL, advertiser_id VARCHAR NOT NULL, daily_budget DECIMAL(12, 2) NOT NULL, status VARCHAR DEFAULT 'ACTIVE'); CREATE TABLE bid_requests (bid_id VARCHAR PRIMARY KEY, campaign_id VARCHAR REFERENCES campaigns(campaign_id), publisher_id VARC... | Calculate the total clearing price spend grouped by device type. | SELECT device_type, SUM(clearing_price) AS total_spend FROM impressions GROUP BY device_type; | SELECT device_type, SUM(clearing_price) AS total_spend FROM impressions GROUP BY device_type | SELECT device_type, SUM(clearing_price) AS total_spend FROM impressions GROUP BY device_type | SELECT device_type, SUM(clearing_price) AS total_spend FROM impressions GROUP BY device_type | Medium | true | [
{
"from": "human",
"value": "Schema:\nCREATE TABLE campaigns (campaign_id VARCHAR PRIMARY KEY, campaign_name VARCHAR NOT NULL, advertiser_id VARCHAR NOT NULL, daily_budget DECIMAL(12, 2) NOT NULL, status VARCHAR DEFAULT 'ACTIVE'); CREATE TABLE bid_requests (bid_id VARCHAR PRIMARY KEY, campaign_id VARCHAR RE... |
Digital Advertising RTB Bidding & Attribution | CREATE TABLE campaigns (campaign_id VARCHAR PRIMARY KEY, campaign_name VARCHAR NOT NULL, advertiser_id VARCHAR NOT NULL, daily_budget DECIMAL(12, 2) NOT NULL, status VARCHAR DEFAULT 'ACTIVE'); CREATE TABLE bid_requests (bid_id VARCHAR PRIMARY KEY, campaign_id VARCHAR REFERENCES campaigns(campaign_id), publisher_id VARC... | Show bid count and win count for each campaign. | SELECT c.campaign_id, c.campaign_name, COUNT(b.bid_id) AS total_bids, SUM(CASE WHEN b.won THEN 1 ELSE 0 END) AS won_bids FROM campaigns c LEFT JOIN bid_requests b ON c.campaign_id = b.campaign_id GROUP BY c.campaign_id, c.campaign_name; | SELECT c.campaign_id, c.campaign_name, COUNT(b.bid_id) AS total_bids, SUM(CASE WHEN b.won THEN 1 ELSE 0 END) AS won_bids FROM campaigns AS c LEFT JOIN bid_requests AS b ON c.campaign_id = b.campaign_id GROUP BY c.campaign_id, c.campaign_name | SELECT c.campaign_id, c.campaign_name, COUNT(b.bid_id) AS total_bids, SUM(CASE WHEN b.won THEN 1 ELSE 0 END) AS won_bids FROM campaigns AS c LEFT JOIN bid_requests AS b ON c.campaign_id = b.campaign_id GROUP BY c.campaign_id, c.campaign_name | SELECT c.campaign_id, c.campaign_name, COUNT(b.bid_id) AS total_bids, SUM(CASE WHEN b.won THEN 1 ELSE 0 END) AS won_bids FROM campaigns AS c LEFT JOIN bid_requests AS b ON c.campaign_id = b.campaign_id GROUP BY c.campaign_id, c.campaign_name | Medium | true | [
{
"from": "human",
"value": "Schema:\nCREATE TABLE campaigns (campaign_id VARCHAR PRIMARY KEY, campaign_name VARCHAR NOT NULL, advertiser_id VARCHAR NOT NULL, daily_budget DECIMAL(12, 2) NOT NULL, status VARCHAR DEFAULT 'ACTIVE'); CREATE TABLE bid_requests (bid_id VARCHAR PRIMARY KEY, campaign_id VARCHAR RE... |
Digital Advertising RTB Bidding & Attribution | CREATE TABLE campaigns (campaign_id VARCHAR PRIMARY KEY, campaign_name VARCHAR NOT NULL, advertiser_id VARCHAR NOT NULL, daily_budget DECIMAL(12, 2) NOT NULL, status VARCHAR DEFAULT 'ACTIVE'); CREATE TABLE bid_requests (bid_id VARCHAR PRIMARY KEY, campaign_id VARCHAR REFERENCES campaigns(campaign_id), publisher_id VARC... | Find the total conversion value per advertiser across all attributed impressions. | SELECT c.advertiser_id, SUM(a.conversion_value) AS total_conversion_value FROM campaigns c JOIN bid_requests b ON c.campaign_id = b.campaign_id JOIN impressions i ON b.bid_id = i.bid_id JOIN attributions a ON i.impression_id = a.impression_id GROUP BY c.advertiser_id ORDER BY total_conversion_value DESC; | SELECT c.advertiser_id, SUM(a.conversion_value) AS total_conversion_value FROM campaigns AS c JOIN bid_requests AS b ON c.campaign_id = b.campaign_id JOIN impressions AS i ON b.bid_id = i.bid_id JOIN attributions AS a ON i.impression_id = a.impression_id GROUP BY c.advertiser_id ORDER BY total_conversion_value DESC NUL... | SELECT c.advertiser_id, SUM(a.conversion_value) AS total_conversion_value FROM campaigns AS c JOIN bid_requests AS b ON c.campaign_id = b.campaign_id JOIN impressions AS i ON b.bid_id = i.bid_id JOIN attributions AS a ON i.impression_id = a.impression_id GROUP BY c.advertiser_id ORDER BY total_conversion_value DESC NUL... | SELECT c.advertiser_id, SUM(a.conversion_value) AS total_conversion_value FROM campaigns AS c JOIN bid_requests AS b ON c.campaign_id = b.campaign_id JOIN impressions AS i ON b.bid_id = i.bid_id JOIN attributions AS a ON i.impression_id = a.impression_id GROUP BY c.advertiser_id ORDER BY total_conversion_value DESC | Medium | true | [
{
"from": "human",
"value": "Schema:\nCREATE TABLE campaigns (campaign_id VARCHAR PRIMARY KEY, campaign_name VARCHAR NOT NULL, advertiser_id VARCHAR NOT NULL, daily_budget DECIMAL(12, 2) NOT NULL, status VARCHAR DEFAULT 'ACTIVE'); CREATE TABLE bid_requests (bid_id VARCHAR PRIMARY KEY, campaign_id VARCHAR RE... |
Digital Advertising RTB Bidding & Attribution | CREATE TABLE campaigns (campaign_id VARCHAR PRIMARY KEY, campaign_name VARCHAR NOT NULL, advertiser_id VARCHAR NOT NULL, daily_budget DECIMAL(12, 2) NOT NULL, status VARCHAR DEFAULT 'ACTIVE'); CREATE TABLE bid_requests (bid_id VARCHAR PRIMARY KEY, campaign_id VARCHAR REFERENCES campaigns(campaign_id), publisher_id VARC... | Calculate the average clearing price for each publisher. | SELECT b.publisher_id, AVG(i.clearing_price) AS avg_clearing_price FROM bid_requests b JOIN impressions i ON b.bid_id = i.bid_id GROUP BY b.publisher_id; | SELECT b.publisher_id, AVG(i.clearing_price) AS avg_clearing_price FROM bid_requests AS b JOIN impressions AS i ON b.bid_id = i.bid_id GROUP BY b.publisher_id | SELECT b.publisher_id, AVG(i.clearing_price) AS avg_clearing_price FROM bid_requests AS b JOIN impressions AS i ON b.bid_id = i.bid_id GROUP BY b.publisher_id | SELECT b.publisher_id, AVG(i.clearing_price) AS avg_clearing_price FROM bid_requests AS b JOIN impressions AS i ON b.bid_id = i.bid_id GROUP BY b.publisher_id | Medium | true | [
{
"from": "human",
"value": "Schema:\nCREATE TABLE campaigns (campaign_id VARCHAR PRIMARY KEY, campaign_name VARCHAR NOT NULL, advertiser_id VARCHAR NOT NULL, daily_budget DECIMAL(12, 2) NOT NULL, status VARCHAR DEFAULT 'ACTIVE'); CREATE TABLE bid_requests (bid_id VARCHAR PRIMARY KEY, campaign_id VARCHAR RE... |
Digital Advertising RTB Bidding & Attribution | CREATE TABLE campaigns (campaign_id VARCHAR PRIMARY KEY, campaign_name VARCHAR NOT NULL, advertiser_id VARCHAR NOT NULL, daily_budget DECIMAL(12, 2) NOT NULL, status VARCHAR DEFAULT 'ACTIVE'); CREATE TABLE bid_requests (bid_id VARCHAR PRIMARY KEY, campaign_id VARCHAR REFERENCES campaigns(campaign_id), publisher_id VARC... | List total conversion counts and conversion values by attribution model. | SELECT attribution_model, COUNT(*) AS conversion_count, SUM(conversion_value) AS total_value FROM attributions GROUP BY attribution_model; | SELECT attribution_model, COUNT(*) AS conversion_count, SUM(conversion_value) AS total_value FROM attributions GROUP BY attribution_model | SELECT attribution_model, COUNT(*) AS conversion_count, SUM(conversion_value) AS total_value FROM attributions GROUP BY attribution_model | SELECT attribution_model, COUNT(*) AS conversion_count, SUM(conversion_value) AS total_value FROM attributions GROUP BY attribution_model | Medium | true | [
{
"from": "human",
"value": "Schema:\nCREATE TABLE campaigns (campaign_id VARCHAR PRIMARY KEY, campaign_name VARCHAR NOT NULL, advertiser_id VARCHAR NOT NULL, daily_budget DECIMAL(12, 2) NOT NULL, status VARCHAR DEFAULT 'ACTIVE'); CREATE TABLE bid_requests (bid_id VARCHAR PRIMARY KEY, campaign_id VARCHAR RE... |
Digital Advertising RTB Bidding & Attribution | CREATE TABLE campaigns (campaign_id VARCHAR PRIMARY KEY, campaign_name VARCHAR NOT NULL, advertiser_id VARCHAR NOT NULL, daily_budget DECIMAL(12, 2) NOT NULL, status VARCHAR DEFAULT 'ACTIVE'); CREATE TABLE bid_requests (bid_id VARCHAR PRIMARY KEY, campaign_id VARCHAR REFERENCES campaigns(campaign_id), publisher_id VARC... | Find campaigns where total impression spend exceeds 50% of their daily budget. | SELECT c.campaign_id, c.campaign_name, c.daily_budget, SUM(i.clearing_price) AS total_spend FROM campaigns c JOIN bid_requests b ON c.campaign_id = b.campaign_id JOIN impressions i ON b.bid_id = i.bid_id GROUP BY c.campaign_id, c.campaign_name, c.daily_budget HAVING SUM(i.clearing_price) > 0.50 * c.daily_budget; | SELECT c.campaign_id, c.campaign_name, c.daily_budget, SUM(i.clearing_price) AS total_spend FROM campaigns AS c JOIN bid_requests AS b ON c.campaign_id = b.campaign_id JOIN impressions AS i ON b.bid_id = i.bid_id GROUP BY c.campaign_id, c.campaign_name, c.daily_budget HAVING SUM(i.clearing_price) > 0.50 * c.daily_budge... | SELECT c.campaign_id, c.campaign_name, c.daily_budget, SUM(i.clearing_price) AS total_spend FROM campaigns AS c JOIN bid_requests AS b ON c.campaign_id = b.campaign_id JOIN impressions AS i ON b.bid_id = i.bid_id GROUP BY c.campaign_id, c.campaign_name, c.daily_budget HAVING SUM(i.clearing_price) > 0.50 * c.daily_budge... | SELECT c.campaign_id, c.campaign_name, c.daily_budget, SUM(i.clearing_price) AS total_spend FROM campaigns AS c JOIN bid_requests AS b ON c.campaign_id = b.campaign_id JOIN impressions AS i ON b.bid_id = i.bid_id GROUP BY c.campaign_id, c.campaign_name, c.daily_budget HAVING SUM(i.clearing_price) > 0.50 * c.daily_budge... | Hard | true | [
{
"from": "human",
"value": "Schema:\nCREATE TABLE campaigns (campaign_id VARCHAR PRIMARY KEY, campaign_name VARCHAR NOT NULL, advertiser_id VARCHAR NOT NULL, daily_budget DECIMAL(12, 2) NOT NULL, status VARCHAR DEFAULT 'ACTIVE'); CREATE TABLE bid_requests (bid_id VARCHAR PRIMARY KEY, campaign_id VARCHAR RE... |
Digital Advertising RTB Bidding & Attribution | CREATE TABLE campaigns (campaign_id VARCHAR PRIMARY KEY, campaign_name VARCHAR NOT NULL, advertiser_id VARCHAR NOT NULL, daily_budget DECIMAL(12, 2) NOT NULL, status VARCHAR DEFAULT 'ACTIVE'); CREATE TABLE bid_requests (bid_id VARCHAR PRIMARY KEY, campaign_id VARCHAR REFERENCES campaigns(campaign_id), publisher_id VARC... | Identify advertisers with conversions higher than the average conversion value across all conversions. | SELECT DISTINCT c.advertiser_id FROM campaigns c JOIN bid_requests b ON c.campaign_id = b.campaign_id JOIN impressions i ON b.bid_id = i.bid_id JOIN attributions a ON i.impression_id = a.impression_id WHERE a.conversion_value > (SELECT AVG(conversion_value) FROM attributions); | SELECT DISTINCT c.advertiser_id FROM campaigns AS c JOIN bid_requests AS b ON c.campaign_id = b.campaign_id JOIN impressions AS i ON b.bid_id = i.bid_id JOIN attributions AS a ON i.impression_id = a.impression_id WHERE a.conversion_value > (SELECT AVG(conversion_value) FROM attributions) | SELECT DISTINCT c.advertiser_id FROM campaigns AS c JOIN bid_requests AS b ON c.campaign_id = b.campaign_id JOIN impressions AS i ON b.bid_id = i.bid_id JOIN attributions AS a ON i.impression_id = a.impression_id WHERE a.conversion_value > (SELECT AVG(conversion_value) FROM attributions) | SELECT DISTINCT c.advertiser_id FROM campaigns AS c JOIN bid_requests AS b ON c.campaign_id = b.campaign_id JOIN impressions AS i ON b.bid_id = i.bid_id JOIN attributions AS a ON i.impression_id = a.impression_id WHERE a.conversion_value > (SELECT AVG(conversion_value) FROM attributions) | Hard | true | [
{
"from": "human",
"value": "Schema:\nCREATE TABLE campaigns (campaign_id VARCHAR PRIMARY KEY, campaign_name VARCHAR NOT NULL, advertiser_id VARCHAR NOT NULL, daily_budget DECIMAL(12, 2) NOT NULL, status VARCHAR DEFAULT 'ACTIVE'); CREATE TABLE bid_requests (bid_id VARCHAR PRIMARY KEY, campaign_id VARCHAR RE... |
Digital Advertising RTB Bidding & Attribution | CREATE TABLE campaigns (campaign_id VARCHAR PRIMARY KEY, campaign_name VARCHAR NOT NULL, advertiser_id VARCHAR NOT NULL, daily_budget DECIMAL(12, 2) NOT NULL, status VARCHAR DEFAULT 'ACTIVE'); CREATE TABLE bid_requests (bid_id VARCHAR PRIMARY KEY, campaign_id VARCHAR REFERENCES campaigns(campaign_id), publisher_id VARC... | Calculate Return on Ad Spend (ROAS) as total conversion value divided by total clearing price spend for each campaign. | SELECT c.campaign_name, SUM(a.conversion_value) AS total_conversion_value, SUM(i.clearing_price) AS total_spend, CASE WHEN SUM(i.clearing_price) > 0 THEN SUM(a.conversion_value) / SUM(i.clearing_price) ELSE NULL END AS roas FROM campaigns c JOIN bid_requests b ON c.campaign_id = b.campaign_id JOIN impressions i ON b.bi... | SELECT c.campaign_name, SUM(a.conversion_value) AS total_conversion_value, SUM(i.clearing_price) AS total_spend, CASE WHEN SUM(i.clearing_price) > 0 THEN CAST(SUM(a.conversion_value) AS DOUBLE PRECISION) / SUM(i.clearing_price) ELSE NULL END AS roas FROM campaigns AS c JOIN bid_requests AS b ON c.campaign_id = b.campai... | SELECT c.campaign_name, SUM(a.conversion_value) AS total_conversion_value, SUM(i.clearing_price) AS total_spend, CASE WHEN SUM(i.clearing_price) > 0 THEN SUM(a.conversion_value) / SUM(i.clearing_price) ELSE NULL END AS roas FROM campaigns AS c JOIN bid_requests AS b ON c.campaign_id = b.campaign_id JOIN impressions AS ... | SELECT c.campaign_name, SUM(a.conversion_value) AS total_conversion_value, SUM(i.clearing_price) AS total_spend, CASE WHEN SUM(i.clearing_price) > 0 THEN SUM(a.conversion_value) / SUM(i.clearing_price) ELSE NULL END AS roas FROM campaigns AS c JOIN bid_requests AS b ON c.campaign_id = b.campaign_id JOIN impressions AS ... | Hard | true | [
{
"from": "human",
"value": "Schema:\nCREATE TABLE campaigns (campaign_id VARCHAR PRIMARY KEY, campaign_name VARCHAR NOT NULL, advertiser_id VARCHAR NOT NULL, daily_budget DECIMAL(12, 2) NOT NULL, status VARCHAR DEFAULT 'ACTIVE'); CREATE TABLE bid_requests (bid_id VARCHAR PRIMARY KEY, campaign_id VARCHAR RE... |
Digital Advertising RTB Bidding & Attribution | CREATE TABLE campaigns (campaign_id VARCHAR PRIMARY KEY, campaign_name VARCHAR NOT NULL, advertiser_id VARCHAR NOT NULL, daily_budget DECIMAL(12, 2) NOT NULL, status VARCHAR DEFAULT 'ACTIVE'); CREATE TABLE bid_requests (bid_id VARCHAR PRIMARY KEY, campaign_id VARCHAR REFERENCES campaigns(campaign_id), publisher_id VARC... | Find publishers whose win rate is greater than the overall average win rate across all bid requests. | SELECT publisher_id, CAST(SUM(CASE WHEN won THEN 1 ELSE 0 END) AS DOUBLE) / COUNT(*) AS pub_win_rate FROM bid_requests GROUP BY publisher_id HAVING CAST(SUM(CASE WHEN won THEN 1 ELSE 0 END) AS DOUBLE) / COUNT(*) > (SELECT CAST(SUM(CASE WHEN won THEN 1 ELSE 0 END) AS DOUBLE) / COUNT(*) FROM bid_requests); | SELECT publisher_id, CAST(SUM(CASE WHEN won THEN 1 ELSE 0 END) AS DOUBLE PRECISION) / COUNT(*) AS pub_win_rate FROM bid_requests GROUP BY publisher_id HAVING CAST(SUM(CASE WHEN won THEN 1 ELSE 0 END) AS DOUBLE PRECISION) / COUNT(*) > (SELECT CAST(SUM(CASE WHEN won THEN 1 ELSE 0 END) AS DOUBLE PRECISION) / COUNT(*) FROM... | SELECT publisher_id, CAST(SUM(CASE WHEN won THEN 1 ELSE 0 END) AS DOUBLE) / COUNT(*) AS pub_win_rate FROM bid_requests GROUP BY publisher_id HAVING CAST(SUM(CASE WHEN won THEN 1 ELSE 0 END) AS DOUBLE) / COUNT(*) > (SELECT CAST(SUM(CASE WHEN won THEN 1 ELSE 0 END) AS DOUBLE) / COUNT(*) FROM bid_requests) | SELECT publisher_id, CAST(SUM(CASE WHEN won THEN 1 ELSE 0 END) AS FLOAT64) / COUNT(*) AS pub_win_rate FROM bid_requests GROUP BY publisher_id HAVING CAST(SUM(CASE WHEN won THEN 1 ELSE 0 END) AS FLOAT64) / COUNT(*) > (SELECT CAST(SUM(CASE WHEN won THEN 1 ELSE 0 END) AS FLOAT64) / COUNT(*) FROM bid_requests) | Hard | true | [
{
"from": "human",
"value": "Schema:\nCREATE TABLE campaigns (campaign_id VARCHAR PRIMARY KEY, campaign_name VARCHAR NOT NULL, advertiser_id VARCHAR NOT NULL, daily_budget DECIMAL(12, 2) NOT NULL, status VARCHAR DEFAULT 'ACTIVE'); CREATE TABLE bid_requests (bid_id VARCHAR PRIMARY KEY, campaign_id VARCHAR RE... |
Digital Advertising RTB Bidding & Attribution | CREATE TABLE campaigns (campaign_id VARCHAR PRIMARY KEY, campaign_name VARCHAR NOT NULL, advertiser_id VARCHAR NOT NULL, daily_budget DECIMAL(12, 2) NOT NULL, status VARCHAR DEFAULT 'ACTIVE'); CREATE TABLE bid_requests (bid_id VARCHAR PRIMARY KEY, campaign_id VARCHAR REFERENCES campaigns(campaign_id), publisher_id VARC... | Get the count of unique users reached per device type for active campaigns only. | SELECT i.device_type, COUNT(DISTINCT b.user_hash) AS unique_users FROM impressions i JOIN bid_requests b ON i.bid_id = b.bid_id JOIN campaigns c ON b.campaign_id = c.campaign_id WHERE c.status = 'ACTIVE' GROUP BY i.device_type; | SELECT i.device_type, COUNT(DISTINCT b.user_hash) AS unique_users FROM impressions AS i JOIN bid_requests AS b ON i.bid_id = b.bid_id JOIN campaigns AS c ON b.campaign_id = c.campaign_id WHERE c.status = 'ACTIVE' GROUP BY i.device_type | SELECT i.device_type, COUNT(DISTINCT b.user_hash) AS unique_users FROM impressions AS i JOIN bid_requests AS b ON i.bid_id = b.bid_id JOIN campaigns AS c ON b.campaign_id = c.campaign_id WHERE c.status = 'ACTIVE' GROUP BY i.device_type | SELECT i.device_type, COUNT(DISTINCT b.user_hash) AS unique_users FROM impressions AS i JOIN bid_requests AS b ON i.bid_id = b.bid_id JOIN campaigns AS c ON b.campaign_id = c.campaign_id WHERE c.status = 'ACTIVE' GROUP BY i.device_type | Hard | true | [
{
"from": "human",
"value": "Schema:\nCREATE TABLE campaigns (campaign_id VARCHAR PRIMARY KEY, campaign_name VARCHAR NOT NULL, advertiser_id VARCHAR NOT NULL, daily_budget DECIMAL(12, 2) NOT NULL, status VARCHAR DEFAULT 'ACTIVE'); CREATE TABLE bid_requests (bid_id VARCHAR PRIMARY KEY, campaign_id VARCHAR RE... |
Digital Advertising RTB Bidding & Attribution | CREATE TABLE campaigns (campaign_id VARCHAR PRIMARY KEY, campaign_name VARCHAR NOT NULL, advertiser_id VARCHAR NOT NULL, daily_budget DECIMAL(12, 2) NOT NULL, status VARCHAR DEFAULT 'ACTIVE'); CREATE TABLE bid_requests (bid_id VARCHAR PRIMARY KEY, campaign_id VARCHAR REFERENCES campaigns(campaign_id), publisher_id VARC... | Rank device types by total conversion value within each campaign using a CTE and window function. | WITH device_perf AS (SELECT c.campaign_name, i.device_type, SUM(a.conversion_value) AS total_value FROM campaigns c JOIN bid_requests b ON c.campaign_id = b.campaign_id JOIN impressions i ON b.bid_id = i.bid_id JOIN attributions a ON i.impression_id = a.impression_id GROUP BY c.campaign_name, i.device_type) SELECT camp... | WITH device_perf AS (SELECT c.campaign_name, i.device_type, SUM(a.conversion_value) AS total_value FROM campaigns AS c JOIN bid_requests AS b ON c.campaign_id = b.campaign_id JOIN impressions AS i ON b.bid_id = i.bid_id JOIN attributions AS a ON i.impression_id = a.impression_id GROUP BY c.campaign_name, i.device_type)... | WITH device_perf AS (SELECT c.campaign_name, i.device_type, SUM(a.conversion_value) AS total_value FROM campaigns AS c JOIN bid_requests AS b ON c.campaign_id = b.campaign_id JOIN impressions AS i ON b.bid_id = i.bid_id JOIN attributions AS a ON i.impression_id = a.impression_id GROUP BY c.campaign_name, i.device_type)... | WITH device_perf AS (SELECT c.campaign_name, i.device_type, SUM(a.conversion_value) AS total_value FROM campaigns AS c JOIN bid_requests AS b ON c.campaign_id = b.campaign_id JOIN impressions AS i ON b.bid_id = i.bid_id JOIN attributions AS a ON i.impression_id = a.impression_id GROUP BY c.campaign_name, i.device_type)... | CTE/Window | true | [
{
"from": "human",
"value": "Schema:\nCREATE TABLE campaigns (campaign_id VARCHAR PRIMARY KEY, campaign_name VARCHAR NOT NULL, advertiser_id VARCHAR NOT NULL, daily_budget DECIMAL(12, 2) NOT NULL, status VARCHAR DEFAULT 'ACTIVE'); CREATE TABLE bid_requests (bid_id VARCHAR PRIMARY KEY, campaign_id VARCHAR RE... |
Digital Advertising RTB Bidding & Attribution | CREATE TABLE campaigns (campaign_id VARCHAR PRIMARY KEY, campaign_name VARCHAR NOT NULL, advertiser_id VARCHAR NOT NULL, daily_budget DECIMAL(12, 2) NOT NULL, status VARCHAR DEFAULT 'ACTIVE'); CREATE TABLE bid_requests (bid_id VARCHAR PRIMARY KEY, campaign_id VARCHAR REFERENCES campaigns(campaign_id), publisher_id VARC... | Calculate the cumulative ad spend over time ordered by impression timestamp. | SELECT impression_id, rendered_at, clearing_price, SUM(clearing_price) OVER (ORDER BY rendered_at ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS cumulative_spend FROM impressions; | SELECT impression_id, rendered_at, clearing_price, SUM(clearing_price) OVER (ORDER BY rendered_at ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS cumulative_spend FROM impressions | SELECT impression_id, rendered_at, clearing_price, SUM(clearing_price) OVER (ORDER BY rendered_at ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS cumulative_spend FROM impressions | SELECT impression_id, rendered_at, clearing_price, SUM(clearing_price) OVER (ORDER BY rendered_at ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS cumulative_spend FROM impressions | CTE/Window | true | [
{
"from": "human",
"value": "Schema:\nCREATE TABLE campaigns (campaign_id VARCHAR PRIMARY KEY, campaign_name VARCHAR NOT NULL, advertiser_id VARCHAR NOT NULL, daily_budget DECIMAL(12, 2) NOT NULL, status VARCHAR DEFAULT 'ACTIVE'); CREATE TABLE bid_requests (bid_id VARCHAR PRIMARY KEY, campaign_id VARCHAR RE... |
Digital Advertising RTB Bidding & Attribution | CREATE TABLE campaigns (campaign_id VARCHAR PRIMARY KEY, campaign_name VARCHAR NOT NULL, advertiser_id VARCHAR NOT NULL, daily_budget DECIMAL(12, 2) NOT NULL, status VARCHAR DEFAULT 'ACTIVE'); CREATE TABLE bid_requests (bid_id VARCHAR PRIMARY KEY, campaign_id VARCHAR REFERENCES campaigns(campaign_id), publisher_id VARC... | Find the latest winning bid request for each campaign using ROW_NUMBER(). | WITH ranked_bids AS (SELECT b.*, c.campaign_name, ROW_NUMBER() OVER (PARTITION BY b.campaign_id ORDER BY b.created_at DESC) AS rn FROM bid_requests b JOIN campaigns c ON b.campaign_id = c.campaign_id WHERE b.won = TRUE) SELECT campaign_id, campaign_name, bid_id, user_hash, bid_price, created_at FROM ranked_bids WHERE r... | WITH ranked_bids AS (SELECT b.*, c.campaign_name, ROW_NUMBER() OVER (PARTITION BY b.campaign_id ORDER BY b.created_at DESC NULLS LAST) AS rn FROM bid_requests AS b JOIN campaigns AS c ON b.campaign_id = c.campaign_id WHERE b.won = TRUE) SELECT campaign_id, campaign_name, bid_id, user_hash, bid_price, created_at FROM ra... | WITH ranked_bids AS (SELECT b.*, c.campaign_name, ROW_NUMBER() OVER (PARTITION BY b.campaign_id ORDER BY b.created_at DESC NULLS LAST) AS rn FROM bid_requests AS b JOIN campaigns AS c ON b.campaign_id = c.campaign_id WHERE b.won = TRUE) SELECT campaign_id, campaign_name, bid_id, user_hash, bid_price, created_at FROM ra... | WITH ranked_bids AS (SELECT b.*, c.campaign_name, ROW_NUMBER() OVER (PARTITION BY b.campaign_id ORDER BY b.created_at DESC) AS rn FROM bid_requests AS b JOIN campaigns AS c ON b.campaign_id = c.campaign_id WHERE b.won = TRUE) SELECT campaign_id, campaign_name, bid_id, user_hash, bid_price, created_at FROM ranked_bids W... | CTE/Window | true | [
{
"from": "human",
"value": "Schema:\nCREATE TABLE campaigns (campaign_id VARCHAR PRIMARY KEY, campaign_name VARCHAR NOT NULL, advertiser_id VARCHAR NOT NULL, daily_budget DECIMAL(12, 2) NOT NULL, status VARCHAR DEFAULT 'ACTIVE'); CREATE TABLE bid_requests (bid_id VARCHAR PRIMARY KEY, campaign_id VARCHAR RE... |
Digital Advertising RTB Bidding & Attribution | CREATE TABLE campaigns (campaign_id VARCHAR PRIMARY KEY, campaign_name VARCHAR NOT NULL, advertiser_id VARCHAR NOT NULL, daily_budget DECIMAL(12, 2) NOT NULL, status VARCHAR DEFAULT 'ACTIVE'); CREATE TABLE bid_requests (bid_id VARCHAR PRIMARY KEY, campaign_id VARCHAR REFERENCES campaigns(campaign_id), publisher_id VARC... | Filter campaigns that achieved a 50% or higher bid win rate using CTE aggregation. | WITH bid_stats AS (SELECT campaign_id, COUNT(*) AS total_bids, SUM(CASE WHEN won THEN 1 ELSE 0 END) AS won_bids FROM bid_requests GROUP BY campaign_id) SELECT c.campaign_id, c.campaign_name, bs.total_bids, bs.won_bids, CAST(bs.won_bids AS DOUBLE) / bs.total_bids AS win_rate FROM campaigns c JOIN bid_stats bs ON c.campa... | WITH bid_stats AS (SELECT campaign_id, COUNT(*) AS total_bids, SUM(CASE WHEN won THEN 1 ELSE 0 END) AS won_bids FROM bid_requests GROUP BY campaign_id) SELECT c.campaign_id, c.campaign_name, bs.total_bids, bs.won_bids, CAST(bs.won_bids AS DOUBLE PRECISION) / bs.total_bids AS win_rate FROM campaigns AS c JOIN bid_stats ... | WITH bid_stats AS (SELECT campaign_id, COUNT(*) AS total_bids, SUM(CASE WHEN won THEN 1 ELSE 0 END) AS won_bids FROM bid_requests GROUP BY campaign_id) SELECT c.campaign_id, c.campaign_name, bs.total_bids, bs.won_bids, CAST(bs.won_bids AS DOUBLE) / bs.total_bids AS win_rate FROM campaigns AS c JOIN bid_stats AS bs ON c... | WITH bid_stats AS (SELECT campaign_id, COUNT(*) AS total_bids, SUM(CASE WHEN won THEN 1 ELSE 0 END) AS won_bids FROM bid_requests GROUP BY campaign_id) SELECT c.campaign_id, c.campaign_name, bs.total_bids, bs.won_bids, CAST(bs.won_bids AS FLOAT64) / bs.total_bids AS win_rate FROM campaigns AS c JOIN bid_stats AS bs ON ... | CTE/Window | true | [
{
"from": "human",
"value": "Schema:\nCREATE TABLE campaigns (campaign_id VARCHAR PRIMARY KEY, campaign_name VARCHAR NOT NULL, advertiser_id VARCHAR NOT NULL, daily_budget DECIMAL(12, 2) NOT NULL, status VARCHAR DEFAULT 'ACTIVE'); CREATE TABLE bid_requests (bid_id VARCHAR PRIMARY KEY, campaign_id VARCHAR RE... |
Digital Advertising RTB Bidding & Attribution | CREATE TABLE campaigns (campaign_id VARCHAR PRIMARY KEY, campaign_name VARCHAR NOT NULL, advertiser_id VARCHAR NOT NULL, daily_budget DECIMAL(12, 2) NOT NULL, status VARCHAR DEFAULT 'ACTIVE'); CREATE TABLE bid_requests (bid_id VARCHAR PRIMARY KEY, campaign_id VARCHAR REFERENCES campaigns(campaign_id), publisher_id VARC... | Compute conversion latency in seconds between impression render and attribution, along with the overall average latency. | WITH conversion_latency AS (SELECT a.attribution_id, i.impression_id, DATEDIFF('second', i.rendered_at, a.converted_at) AS latency_seconds FROM attributions a JOIN impressions i ON a.impression_id = i.impression_id) SELECT attribution_id, impression_id, latency_seconds, AVG(latency_seconds) OVER () AS avg_latency_overa... | WITH conversion_latency AS (SELECT a.attribution_id, i.impression_id, CAST(EXTRACT(epoch FROM CAST(a.converted_at AS TIMESTAMP) - CAST(i.rendered_at AS TIMESTAMP)) AS BIGINT) AS latency_seconds FROM attributions AS a JOIN impressions AS i ON a.impression_id = i.impression_id) SELECT attribution_id, impression_id, laten... | WITH conversion_latency AS (SELECT a.attribution_id, i.impression_id, DATEDIFF(SECOND, i.rendered_at, a.converted_at) AS latency_seconds FROM attributions AS a JOIN impressions AS i ON a.impression_id = i.impression_id) SELECT attribution_id, impression_id, latency_seconds, AVG(latency_seconds) OVER () AS avg_latency_o... | WITH conversion_latency AS (SELECT a.attribution_id, i.impression_id, DATE_DIFF(a.converted_at, i.rendered_at, SECOND) AS latency_seconds FROM attributions AS a JOIN impressions AS i ON a.impression_id = i.impression_id) SELECT attribution_id, impression_id, latency_seconds, AVG(latency_seconds) OVER () AS avg_latency_... | CTE/Window | true | [
{
"from": "human",
"value": "Schema:\nCREATE TABLE campaigns (campaign_id VARCHAR PRIMARY KEY, campaign_name VARCHAR NOT NULL, advertiser_id VARCHAR NOT NULL, daily_budget DECIMAL(12, 2) NOT NULL, status VARCHAR DEFAULT 'ACTIVE'); CREATE TABLE bid_requests (bid_id VARCHAR PRIMARY KEY, campaign_id VARCHAR RE... |
HR Talent Acquisition & Employee Performance Tracking | CREATE TABLE candidates (candidate_id INTEGER PRIMARY KEY, first_name VARCHAR(50), last_name VARCHAR(50), email VARCHAR(100), applied_date DATE, status VARCHAR(20)); CREATE TABLE employees (employee_id INTEGER PRIMARY KEY, candidate_id INTEGER REFERENCES candidates(candidate_id), first_name VARCHAR(50), last_name VARCH... | Select all candidates who have been hired. | SELECT * FROM candidates WHERE status = 'Hired'; | SELECT * FROM candidates WHERE status = 'Hired' | SELECT * FROM candidates WHERE status = 'Hired' | SELECT * FROM candidates WHERE status = 'Hired' | Simple | true | [
{
"from": "human",
"value": "Schema:\nCREATE TABLE candidates (candidate_id INTEGER PRIMARY KEY, first_name VARCHAR(50), last_name VARCHAR(50), email VARCHAR(100), applied_date DATE, status VARCHAR(20)); CREATE TABLE employees (employee_id INTEGER PRIMARY KEY, candidate_id INTEGER REFERENCES candidates(cand... |
HR Talent Acquisition & Employee Performance Tracking | CREATE TABLE candidates (candidate_id INTEGER PRIMARY KEY, first_name VARCHAR(50), last_name VARCHAR(50), email VARCHAR(100), applied_date DATE, status VARCHAR(20)); CREATE TABLE employees (employee_id INTEGER PRIMARY KEY, candidate_id INTEGER REFERENCES candidates(candidate_id), first_name VARCHAR(50), last_name VARCH... | Find all employees in the Engineering department. | SELECT * FROM employees WHERE department = 'Engineering'; | SELECT * FROM employees WHERE department = 'Engineering' | SELECT * FROM employees WHERE department = 'Engineering' | SELECT * FROM employees WHERE department = 'Engineering' | Simple | true | [
{
"from": "human",
"value": "Schema:\nCREATE TABLE candidates (candidate_id INTEGER PRIMARY KEY, first_name VARCHAR(50), last_name VARCHAR(50), email VARCHAR(100), applied_date DATE, status VARCHAR(20)); CREATE TABLE employees (employee_id INTEGER PRIMARY KEY, candidate_id INTEGER REFERENCES candidates(cand... |
HR Talent Acquisition & Employee Performance Tracking | CREATE TABLE candidates (candidate_id INTEGER PRIMARY KEY, first_name VARCHAR(50), last_name VARCHAR(50), email VARCHAR(100), applied_date DATE, status VARCHAR(20)); CREATE TABLE employees (employee_id INTEGER PRIMARY KEY, candidate_id INTEGER REFERENCES candidates(candidate_id), first_name VARCHAR(50), last_name VARCH... | Count total number of candidates in the system. | SELECT COUNT(*) AS total_candidates FROM candidates; | SELECT COUNT(*) AS total_candidates FROM candidates | SELECT COUNT(*) AS total_candidates FROM candidates | SELECT COUNT(*) AS total_candidates FROM candidates | Simple | true | [
{
"from": "human",
"value": "Schema:\nCREATE TABLE candidates (candidate_id INTEGER PRIMARY KEY, first_name VARCHAR(50), last_name VARCHAR(50), email VARCHAR(100), applied_date DATE, status VARCHAR(20)); CREATE TABLE employees (employee_id INTEGER PRIMARY KEY, candidate_id INTEGER REFERENCES candidates(cand... |
HR Talent Acquisition & Employee Performance Tracking | CREATE TABLE candidates (candidate_id INTEGER PRIMARY KEY, first_name VARCHAR(50), last_name VARCHAR(50), email VARCHAR(100), applied_date DATE, status VARCHAR(20)); CREATE TABLE employees (employee_id INTEGER PRIMARY KEY, candidate_id INTEGER REFERENCES candidates(candidate_id), first_name VARCHAR(50), last_name VARCH... | List all performance reviews with a rating greater than or equal to 4. | SELECT * FROM performance_reviews WHERE rating >= 4; | SELECT * FROM performance_reviews WHERE rating >= 4 | SELECT * FROM performance_reviews WHERE rating >= 4 | SELECT * FROM performance_reviews WHERE rating >= 4 | Simple | true | [
{
"from": "human",
"value": "Schema:\nCREATE TABLE candidates (candidate_id INTEGER PRIMARY KEY, first_name VARCHAR(50), last_name VARCHAR(50), email VARCHAR(100), applied_date DATE, status VARCHAR(20)); CREATE TABLE employees (employee_id INTEGER PRIMARY KEY, candidate_id INTEGER REFERENCES candidates(cand... |
HR Talent Acquisition & Employee Performance Tracking | CREATE TABLE candidates (candidate_id INTEGER PRIMARY KEY, first_name VARCHAR(50), last_name VARCHAR(50), email VARCHAR(100), applied_date DATE, status VARCHAR(20)); CREATE TABLE employees (employee_id INTEGER PRIMARY KEY, candidate_id INTEGER REFERENCES candidates(candidate_id), first_name VARCHAR(50), last_name VARCH... | Retrieve the candidate ID, full name, and email for all candidates who applied after February 1, 2023. | SELECT candidate_id, first_name || ' ' || last_name AS full_name, email FROM candidates WHERE applied_date > '2023-02-01'; | SELECT candidate_id, first_name || ' ' || last_name AS full_name, email FROM candidates WHERE applied_date > '2023-02-01' | SELECT candidate_id, first_name || ' ' || last_name AS full_name, email FROM candidates WHERE applied_date > '2023-02-01' | SELECT candidate_id, first_name || ' ' || last_name AS full_name, email FROM candidates WHERE applied_date > '2023-02-01' | Simple | true | [
{
"from": "human",
"value": "Schema:\nCREATE TABLE candidates (candidate_id INTEGER PRIMARY KEY, first_name VARCHAR(50), last_name VARCHAR(50), email VARCHAR(100), applied_date DATE, status VARCHAR(20)); CREATE TABLE employees (employee_id INTEGER PRIMARY KEY, candidate_id INTEGER REFERENCES candidates(cand... |
HR Talent Acquisition & Employee Performance Tracking | CREATE TABLE candidates (candidate_id INTEGER PRIMARY KEY, first_name VARCHAR(50), last_name VARCHAR(50), email VARCHAR(100), applied_date DATE, status VARCHAR(20)); CREATE TABLE employees (employee_id INTEGER PRIMARY KEY, candidate_id INTEGER REFERENCES candidates(candidate_id), first_name VARCHAR(50), last_name VARCH... | List each candidate's full name, status, and interview score for all job interviews conducted. | SELECT c.first_name || ' ' || c.last_name AS candidate_name, c.status, ji.score FROM candidates c JOIN job_interviews ji ON c.candidate_id = ji.candidate_id; | SELECT c.first_name || ' ' || c.last_name AS candidate_name, c.status, ji.score FROM candidates AS c JOIN job_interviews AS ji ON c.candidate_id = ji.candidate_id | SELECT c.first_name || ' ' || c.last_name AS candidate_name, c.status, ji.score FROM candidates AS c JOIN job_interviews AS ji ON c.candidate_id = ji.candidate_id | SELECT c.first_name || ' ' || c.last_name AS candidate_name, c.status, ji.score FROM candidates AS c JOIN job_interviews AS ji ON c.candidate_id = ji.candidate_id | Medium | true | [
{
"from": "human",
"value": "Schema:\nCREATE TABLE candidates (candidate_id INTEGER PRIMARY KEY, first_name VARCHAR(50), last_name VARCHAR(50), email VARCHAR(100), applied_date DATE, status VARCHAR(20)); CREATE TABLE employees (employee_id INTEGER PRIMARY KEY, candidate_id INTEGER REFERENCES candidates(cand... |
HR Talent Acquisition & Employee Performance Tracking | CREATE TABLE candidates (candidate_id INTEGER PRIMARY KEY, first_name VARCHAR(50), last_name VARCHAR(50), email VARCHAR(100), applied_date DATE, status VARCHAR(20)); CREATE TABLE employees (employee_id INTEGER PRIMARY KEY, candidate_id INTEGER REFERENCES candidates(candidate_id), first_name VARCHAR(50), last_name VARCH... | Calculate the average employee salary by department. | SELECT department, AVG(salary) AS avg_salary FROM employees GROUP BY department; | SELECT department, AVG(salary) AS avg_salary FROM employees GROUP BY department | SELECT department, AVG(salary) AS avg_salary FROM employees GROUP BY department | SELECT department, AVG(salary) AS avg_salary FROM employees GROUP BY department | Medium | true | [
{
"from": "human",
"value": "Schema:\nCREATE TABLE candidates (candidate_id INTEGER PRIMARY KEY, first_name VARCHAR(50), last_name VARCHAR(50), email VARCHAR(100), applied_date DATE, status VARCHAR(20)); CREATE TABLE employees (employee_id INTEGER PRIMARY KEY, candidate_id INTEGER REFERENCES candidates(cand... |
HR Talent Acquisition & Employee Performance Tracking | CREATE TABLE candidates (candidate_id INTEGER PRIMARY KEY, first_name VARCHAR(50), last_name VARCHAR(50), email VARCHAR(100), applied_date DATE, status VARCHAR(20)); CREATE TABLE employees (employee_id INTEGER PRIMARY KEY, candidate_id INTEGER REFERENCES candidates(candidate_id), first_name VARCHAR(50), last_name VARCH... | Find employees who were hired as candidates, displaying candidate application date and employee hire date. | SELECT e.employee_id, e.first_name || ' ' || e.last_name AS employee_name, c.applied_date, e.hire_date FROM employees e JOIN candidates c ON e.candidate_id = c.candidate_id; | SELECT e.employee_id, e.first_name || ' ' || e.last_name AS employee_name, c.applied_date, e.hire_date FROM employees AS e JOIN candidates AS c ON e.candidate_id = c.candidate_id | SELECT e.employee_id, e.first_name || ' ' || e.last_name AS employee_name, c.applied_date, e.hire_date FROM employees AS e JOIN candidates AS c ON e.candidate_id = c.candidate_id | SELECT e.employee_id, e.first_name || ' ' || e.last_name AS employee_name, c.applied_date, e.hire_date FROM employees AS e JOIN candidates AS c ON e.candidate_id = c.candidate_id | Medium | true | [
{
"from": "human",
"value": "Schema:\nCREATE TABLE candidates (candidate_id INTEGER PRIMARY KEY, first_name VARCHAR(50), last_name VARCHAR(50), email VARCHAR(100), applied_date DATE, status VARCHAR(20)); CREATE TABLE employees (employee_id INTEGER PRIMARY KEY, candidate_id INTEGER REFERENCES candidates(cand... |
HR Talent Acquisition & Employee Performance Tracking | CREATE TABLE candidates (candidate_id INTEGER PRIMARY KEY, first_name VARCHAR(50), last_name VARCHAR(50), email VARCHAR(100), applied_date DATE, status VARCHAR(20)); CREATE TABLE employees (employee_id INTEGER PRIMARY KEY, candidate_id INTEGER REFERENCES candidates(candidate_id), first_name VARCHAR(50), last_name VARCH... | Count how many job interviews each interviewer conducted. | SELECT e.first_name || ' ' || e.last_name AS interviewer_name, COUNT(ji.interview_id) AS interview_count FROM employees e JOIN job_interviews ji ON e.employee_id = ji.interviewer_employee_id GROUP BY e.employee_id, e.first_name, e.last_name; | SELECT e.first_name || ' ' || e.last_name AS interviewer_name, COUNT(ji.interview_id) AS interview_count FROM employees AS e JOIN job_interviews AS ji ON e.employee_id = ji.interviewer_employee_id GROUP BY e.employee_id, e.first_name, e.last_name | SELECT e.first_name || ' ' || e.last_name AS interviewer_name, COUNT(ji.interview_id) AS interview_count FROM employees AS e JOIN job_interviews AS ji ON e.employee_id = ji.interviewer_employee_id GROUP BY e.employee_id, e.first_name, e.last_name | SELECT e.first_name || ' ' || e.last_name AS interviewer_name, COUNT(ji.interview_id) AS interview_count FROM employees AS e JOIN job_interviews AS ji ON e.employee_id = ji.interviewer_employee_id GROUP BY e.employee_id, e.first_name, e.last_name | Medium | true | [
{
"from": "human",
"value": "Schema:\nCREATE TABLE candidates (candidate_id INTEGER PRIMARY KEY, first_name VARCHAR(50), last_name VARCHAR(50), email VARCHAR(100), applied_date DATE, status VARCHAR(20)); CREATE TABLE employees (employee_id INTEGER PRIMARY KEY, candidate_id INTEGER REFERENCES candidates(cand... |
HR Talent Acquisition & Employee Performance Tracking | CREATE TABLE candidates (candidate_id INTEGER PRIMARY KEY, first_name VARCHAR(50), last_name VARCHAR(50), email VARCHAR(100), applied_date DATE, status VARCHAR(20)); CREATE TABLE employees (employee_id INTEGER PRIMARY KEY, candidate_id INTEGER REFERENCES candidates(candidate_id), first_name VARCHAR(50), last_name VARCH... | Find candidates who received an interview score lower than 3 along with interviewer feedback. | SELECT c.first_name || ' ' || c.last_name AS candidate_name, ji.score, ji.feedback FROM candidates c JOIN job_interviews ji ON c.candidate_id = ji.candidate_id WHERE ji.score < 3; | SELECT c.first_name || ' ' || c.last_name AS candidate_name, ji.score, ji.feedback FROM candidates AS c JOIN job_interviews AS ji ON c.candidate_id = ji.candidate_id WHERE ji.score < 3 | SELECT c.first_name || ' ' || c.last_name AS candidate_name, ji.score, ji.feedback FROM candidates AS c JOIN job_interviews AS ji ON c.candidate_id = ji.candidate_id WHERE ji.score < 3 | SELECT c.first_name || ' ' || c.last_name AS candidate_name, ji.score, ji.feedback FROM candidates AS c JOIN job_interviews AS ji ON c.candidate_id = ji.candidate_id WHERE ji.score < 3 | Medium | true | [
{
"from": "human",
"value": "Schema:\nCREATE TABLE candidates (candidate_id INTEGER PRIMARY KEY, first_name VARCHAR(50), last_name VARCHAR(50), email VARCHAR(100), applied_date DATE, status VARCHAR(20)); CREATE TABLE employees (employee_id INTEGER PRIMARY KEY, candidate_id INTEGER REFERENCES candidates(cand... |
HR Talent Acquisition & Employee Performance Tracking | CREATE TABLE candidates (candidate_id INTEGER PRIMARY KEY, first_name VARCHAR(50), last_name VARCHAR(50), email VARCHAR(100), applied_date DATE, status VARCHAR(20)); CREATE TABLE employees (employee_id INTEGER PRIMARY KEY, candidate_id INTEGER REFERENCES candidates(candidate_id), first_name VARCHAR(50), last_name VARCH... | Find departments where the average goals met percentage in performance reviews is greater than 85%. | SELECT e.department, AVG(pr.goals_met_pct) AS avg_goals_met FROM employees e JOIN performance_reviews pr ON e.employee_id = pr.employee_id GROUP BY e.department HAVING AVG(pr.goals_met_pct) > 85.00; | SELECT e.department, AVG(pr.goals_met_pct) AS avg_goals_met FROM employees AS e JOIN performance_reviews AS pr ON e.employee_id = pr.employee_id GROUP BY e.department HAVING AVG(pr.goals_met_pct) > 85.00 | SELECT e.department, AVG(pr.goals_met_pct) AS avg_goals_met FROM employees AS e JOIN performance_reviews AS pr ON e.employee_id = pr.employee_id GROUP BY e.department HAVING AVG(pr.goals_met_pct) > 85.00 | SELECT e.department, AVG(pr.goals_met_pct) AS avg_goals_met FROM employees AS e JOIN performance_reviews AS pr ON e.employee_id = pr.employee_id GROUP BY e.department HAVING AVG(pr.goals_met_pct) > 85.00 | Hard | true | [
{
"from": "human",
"value": "Schema:\nCREATE TABLE candidates (candidate_id INTEGER PRIMARY KEY, first_name VARCHAR(50), last_name VARCHAR(50), email VARCHAR(100), applied_date DATE, status VARCHAR(20)); CREATE TABLE employees (employee_id INTEGER PRIMARY KEY, candidate_id INTEGER REFERENCES candidates(cand... |
HR Talent Acquisition & Employee Performance Tracking | CREATE TABLE candidates (candidate_id INTEGER PRIMARY KEY, first_name VARCHAR(50), last_name VARCHAR(50), email VARCHAR(100), applied_date DATE, status VARCHAR(20)); CREATE TABLE employees (employee_id INTEGER PRIMARY KEY, candidate_id INTEGER REFERENCES candidates(candidate_id), first_name VARCHAR(50), last_name VARCH... | List candidates who applied but were never interviewed. | SELECT candidate_id, first_name, last_name FROM candidates WHERE candidate_id NOT IN (SELECT DISTINCT candidate_id FROM job_interviews); | SELECT candidate_id, first_name, last_name FROM candidates WHERE NOT candidate_id IN (SELECT DISTINCT candidate_id FROM job_interviews) | SELECT candidate_id, first_name, last_name FROM candidates WHERE NOT candidate_id IN (SELECT DISTINCT candidate_id FROM job_interviews) | SELECT candidate_id, first_name, last_name FROM candidates WHERE NOT candidate_id IN (SELECT DISTINCT candidate_id FROM job_interviews) | Hard | true | [
{
"from": "human",
"value": "Schema:\nCREATE TABLE candidates (candidate_id INTEGER PRIMARY KEY, first_name VARCHAR(50), last_name VARCHAR(50), email VARCHAR(100), applied_date DATE, status VARCHAR(20)); CREATE TABLE employees (employee_id INTEGER PRIMARY KEY, candidate_id INTEGER REFERENCES candidates(cand... |
HR Talent Acquisition & Employee Performance Tracking | CREATE TABLE candidates (candidate_id INTEGER PRIMARY KEY, first_name VARCHAR(50), last_name VARCHAR(50), email VARCHAR(100), applied_date DATE, status VARCHAR(20)); CREATE TABLE employees (employee_id INTEGER PRIMARY KEY, candidate_id INTEGER REFERENCES candidates(candidate_id), first_name VARCHAR(50), last_name VARCH... | Retrieve employees whose salary is higher than the overall average employee salary. | SELECT employee_id, first_name, last_name, salary FROM employees WHERE salary > (SELECT AVG(salary) FROM employees); | SELECT employee_id, first_name, last_name, salary FROM employees WHERE salary > (SELECT AVG(salary) FROM employees) | SELECT employee_id, first_name, last_name, salary FROM employees WHERE salary > (SELECT AVG(salary) FROM employees) | SELECT employee_id, first_name, last_name, salary FROM employees WHERE salary > (SELECT AVG(salary) FROM employees) | Hard | true | [
{
"from": "human",
"value": "Schema:\nCREATE TABLE candidates (candidate_id INTEGER PRIMARY KEY, first_name VARCHAR(50), last_name VARCHAR(50), email VARCHAR(100), applied_date DATE, status VARCHAR(20)); CREATE TABLE employees (employee_id INTEGER PRIMARY KEY, candidate_id INTEGER REFERENCES candidates(cand... |
HR Talent Acquisition & Employee Performance Tracking | CREATE TABLE candidates (candidate_id INTEGER PRIMARY KEY, first_name VARCHAR(50), last_name VARCHAR(50), email VARCHAR(100), applied_date DATE, status VARCHAR(20)); CREATE TABLE employees (employee_id INTEGER PRIMARY KEY, candidate_id INTEGER REFERENCES candidates(candidate_id), first_name VARCHAR(50), last_name VARCH... | Find distinct employees who interviewed candidates that were eventually hired. | SELECT DISTINCT e.employee_id, e.first_name, e.last_name FROM employees e JOIN job_interviews ji ON e.employee_id = ji.interviewer_employee_id JOIN candidates c ON ji.candidate_id = c.candidate_id WHERE c.status = 'Hired'; | SELECT DISTINCT e.employee_id, e.first_name, e.last_name FROM employees AS e JOIN job_interviews AS ji ON e.employee_id = ji.interviewer_employee_id JOIN candidates AS c ON ji.candidate_id = c.candidate_id WHERE c.status = 'Hired' | SELECT DISTINCT e.employee_id, e.first_name, e.last_name FROM employees AS e JOIN job_interviews AS ji ON e.employee_id = ji.interviewer_employee_id JOIN candidates AS c ON ji.candidate_id = c.candidate_id WHERE c.status = 'Hired' | SELECT DISTINCT e.employee_id, e.first_name, e.last_name FROM employees AS e JOIN job_interviews AS ji ON e.employee_id = ji.interviewer_employee_id JOIN candidates AS c ON ji.candidate_id = c.candidate_id WHERE c.status = 'Hired' | Hard | true | [
{
"from": "human",
"value": "Schema:\nCREATE TABLE candidates (candidate_id INTEGER PRIMARY KEY, first_name VARCHAR(50), last_name VARCHAR(50), email VARCHAR(100), applied_date DATE, status VARCHAR(20)); CREATE TABLE employees (employee_id INTEGER PRIMARY KEY, candidate_id INTEGER REFERENCES candidates(cand... |
HR Talent Acquisition & Employee Performance Tracking | CREATE TABLE candidates (candidate_id INTEGER PRIMARY KEY, first_name VARCHAR(50), last_name VARCHAR(50), email VARCHAR(100), applied_date DATE, status VARCHAR(20)); CREATE TABLE employees (employee_id INTEGER PRIMARY KEY, candidate_id INTEGER REFERENCES candidates(candidate_id), first_name VARCHAR(50), last_name VARCH... | Find the candidates who received the overall highest interview score. | SELECT c.candidate_id, c.first_name, c.last_name, ji.score FROM candidates c JOIN job_interviews ji ON c.candidate_id = ji.candidate_id WHERE ji.score = (SELECT MAX(score) FROM job_interviews); | SELECT c.candidate_id, c.first_name, c.last_name, ji.score FROM candidates AS c JOIN job_interviews AS ji ON c.candidate_id = ji.candidate_id WHERE ji.score = (SELECT MAX(score) FROM job_interviews) | SELECT c.candidate_id, c.first_name, c.last_name, ji.score FROM candidates AS c JOIN job_interviews AS ji ON c.candidate_id = ji.candidate_id WHERE ji.score = (SELECT MAX(score) FROM job_interviews) | SELECT c.candidate_id, c.first_name, c.last_name, ji.score FROM candidates AS c JOIN job_interviews AS ji ON c.candidate_id = ji.candidate_id WHERE ji.score = (SELECT MAX(score) FROM job_interviews) | Hard | true | [
{
"from": "human",
"value": "Schema:\nCREATE TABLE candidates (candidate_id INTEGER PRIMARY KEY, first_name VARCHAR(50), last_name VARCHAR(50), email VARCHAR(100), applied_date DATE, status VARCHAR(20)); CREATE TABLE employees (employee_id INTEGER PRIMARY KEY, candidate_id INTEGER REFERENCES candidates(cand... |
HR Talent Acquisition & Employee Performance Tracking | CREATE TABLE candidates (candidate_id INTEGER PRIMARY KEY, first_name VARCHAR(50), last_name VARCHAR(50), email VARCHAR(100), applied_date DATE, status VARCHAR(20)); CREATE TABLE employees (employee_id INTEGER PRIMARY KEY, candidate_id INTEGER REFERENCES candidates(candidate_id), first_name VARCHAR(50), last_name VARCH... | Rank employees by salary within each department. | SELECT employee_id, first_name, last_name, department, salary, ROW_NUMBER() OVER (PARTITION BY department ORDER BY salary DESC) AS salary_rank FROM employees; | SELECT employee_id, first_name, last_name, department, salary, ROW_NUMBER() OVER (PARTITION BY department ORDER BY salary DESC NULLS LAST) AS salary_rank FROM employees | SELECT employee_id, first_name, last_name, department, salary, ROW_NUMBER() OVER (PARTITION BY department ORDER BY salary DESC NULLS LAST) AS salary_rank FROM employees | SELECT employee_id, first_name, last_name, department, salary, ROW_NUMBER() OVER (PARTITION BY department ORDER BY salary DESC) AS salary_rank FROM employees | CTE/Window | true | [
{
"from": "human",
"value": "Schema:\nCREATE TABLE candidates (candidate_id INTEGER PRIMARY KEY, first_name VARCHAR(50), last_name VARCHAR(50), email VARCHAR(100), applied_date DATE, status VARCHAR(20)); CREATE TABLE employees (employee_id INTEGER PRIMARY KEY, candidate_id INTEGER REFERENCES candidates(cand... |
End of preview. Expand in Data Studio
Verified Multi-Dialect Enterprise Text-to-SQL Dataset
This dataset contains 100% deterministically verified Text-to-SQL instruction pairs across multiple cloud warehouse dialects (DuckDB, PostgreSQL, Snowflake, BigQuery).
Features
- Deterministic Execution: Every query executed and verified in DuckDB memory before ingestion.
- Multi-Dialect Translation: Native PostgreSQL, Snowflake, and BigQuery transpiled variants included.
- ShareGPT Structured: Formatted for direct instruction fine-tuning with Axolotl, Unsloth, and LLaMA-Factory.
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