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    <p>In the example below <code>calendar</code> is a simple utility table holding all dates that could ever be required. Personally, I'd most likely handle the missing values and, certainly, the pivoting at the application level, for ease of scalability.</p> <pre><code>DROP TABLE IF EXISTS fares; CREATE TABLE fares ( vehicle_id VARCHAR(12) NOT NULL , fare_start DATE NOT NULL , fare_end DATE NULL , fare DECIMAL(5,2) NOT NULL , PRIMARY KEY(vehicle_id,fare_start) ); INSERT INTO fares VALUES ('BAL2018','2013-01-21','2013-01-26',555.00), ('BAL2018','2013-01-27','2013-01-28',111.00), ('BAL2019','2013-01-26','2013-01-27',211.00), ('BAL2020','2013-01-26','2013-01-27',545.00); DROP TABLE IF EXISTS vehicles; CREATE TABLE vehicles (vehicle_id VARCHAR(12) NOT NULL PRIMARY KEY ,description VARCHAR(12) NOT NULL ); INSERT INTO vehicles VALUES ('BAL2018','vehicle01'), ('BAL2019','vehicle02'), ('BAL2020','vehicle03'); SELECT * FROM calendar WHERE dt BETWEEN '2013-01-20' AND '2013-01-28'; +------------+ | dt | +------------+ | 2013-01-20 | | 2013-01-21 | | 2013-01-22 | | 2013-01-23 | | 2013-01-24 | | 2013-01-25 | | 2013-01-26 | | 2013-01-27 | | 2013-01-28 | +------------+ SELECT c.dt,v.vehicle_id,f.fare_start,f.fare_end,f.fare FROM calendar c JOIN vehicles v LEFT JOIN fares f ON f.vehicle_id = v.vehicle_id AND c.dt BETWEEN f.fare_start AND f.fare_end WHERE c.dt BETWEEN '2013-01-20' AND '2013-01-28'; +------------+------------+------------+------------+--------+ | dt | vehicle_id | fare_start | fare_end | fare | +------------+------------+------------+------------+--------+ | 2013-01-20 | BAL2018 | NULL | NULL | NULL | | 2013-01-20 | BAL2019 | NULL | NULL | NULL | | 2013-01-20 | BAL2020 | NULL | NULL | NULL | | 2013-01-21 | BAL2018 | 2013-01-21 | 2013-01-26 | 555.00 | | 2013-01-21 | BAL2019 | NULL | NULL | NULL | | 2013-01-21 | BAL2020 | NULL | NULL | NULL | | 2013-01-22 | BAL2018 | 2013-01-21 | 2013-01-26 | 555.00 | | 2013-01-22 | BAL2019 | NULL | NULL | NULL | | 2013-01-22 | BAL2020 | NULL | NULL | NULL | | 2013-01-23 | BAL2018 | 2013-01-21 | 2013-01-26 | 555.00 | | 2013-01-23 | BAL2019 | NULL | NULL | NULL | | 2013-01-23 | BAL2020 | NULL | NULL | NULL | | 2013-01-24 | BAL2018 | 2013-01-21 | 2013-01-26 | 555.00 | | 2013-01-24 | BAL2019 | NULL | NULL | NULL | | 2013-01-24 | BAL2020 | NULL | NULL | NULL | | 2013-01-25 | BAL2018 | 2013-01-21 | 2013-01-26 | 555.00 | | 2013-01-25 | BAL2019 | NULL | NULL | NULL | | 2013-01-25 | BAL2020 | NULL | NULL | NULL | | 2013-01-26 | BAL2018 | 2013-01-21 | 2013-01-26 | 555.00 | | 2013-01-26 | BAL2019 | 2013-01-26 | 2013-01-27 | 211.00 | | 2013-01-26 | BAL2020 | 2013-01-26 | 2013-01-27 | 545.00 | | 2013-01-27 | BAL2018 | 2013-01-27 | 2013-01-28 | 111.00 | | 2013-01-27 | BAL2019 | 2013-01-26 | 2013-01-27 | 211.00 | | 2013-01-27 | BAL2020 | 2013-01-26 | 2013-01-27 | 545.00 | | 2013-01-28 | BAL2018 | 2013-01-27 | 2013-01-28 | 111.00 | | 2013-01-28 | BAL2019 | NULL | NULL | NULL | | 2013-01-28 | BAL2020 | NULL | NULL | NULL | +------------+------------+------------+------------+--------+ </code></pre> <p>27 rows in set (0.00 sec)</p>
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