I have a following SQL statement and it generates the relevant output correctly (I want to group every 3 minutes values) :
SELECT date_time date, UNIX_TIMESTAMP(date_time) AS time_value,
FLOOR((MINUTE(date_time) + (HOUR(date_time)*60))/3) AS minute_value, ph1_active_power AS p1
FROM powerpro1
GROUP BY date_time
Generated output :
+-----------+---------------------+------------+--------------+---------+
| record_no | date | time_value | minute_value | p1 |
+-----------+---------------------+------------+--------------+---------+
| 1 | 2014-12-01 00:00:00 | 1417372200 | 0 | 73.0767 |
| 2 | 2014-12-01 00:01:00 | 1417372260 | 0 | 73.0293 |
| 3 | 2014-12-01 00:02:00 | 1417372320 | 0 | 72.9818 |
| 4 | 2014-12-01 00:03:00 | 1417372380 | 1 | 72.9343 |
| 5 | 2014-12-01 00:04:00 | 1417372440 | 1 | 72.8868 |
| 6 | 2014-12-01 00:05:00 | 1417372500 | 1 | 72.8392 |
| 7 | 2014-12-01 00:06:00 | 1417372560 | 2 | 72.7916 |
| 8 | 2014-12-01 00:07:00 | 1417372620 | 2 | 72.744 |
| 9 | 2014-12-01 00:08:00 | 1417372680 | 2 | 72.6963 |
| 10 | 2014-12-01 00:09:00 | 1417372740 | 3 | 72.6486 |
| 11 | 2014-12-01 00:10:00 | 1417372800 | 3 | 72.6009 |
| 12 | 2014-12-01 00:11:00 | 1417372860 | 3 | 72.5531 |
| 13 | 2014-12-01 00:12:00 | 1417372920 | 4 | 72.5053 |
| 14 | 2014-12-01 00:13:00 | 1417372980 | 4 | 72.4575 |
| 15 | 2014-12-01 00:14:00 | 1417373040 | 4 | 72.4096 |
| 16 | 2014-12-01 00:15:00 | 1417373100 | 5 | 72.3617 |
| 17 | 2014-12-01 00:16:00 | 1417373160 | 5 | 72.3137 |
| 18 | 2014-12-01 00:17:00 | 1417373220 | 5 | 72.2657 |
| 19 | 2014-12-01 00:18:00 | 1417373280 | 6 | 72.2177 |
| 20 | 2014-12-01 00:19:00 | 1417373340 | 6 | 72.1697 |
| 21 | 2014-12-01 00:20:00 | 1417373400 | 6 | 72.1216 |
| 22 | 2014-12-01 00:21:00 | 1417373460 | 7 | 72.0734 |
| 23 | 2014-12-01 00:22:00 | 1417373520 | 7 | 72.0253 |
| 24 | 2014-12-01 00:23:00 | 1417373580 | 7 | 71.9771 |
+-----------+---------------------+------------+--------------+---------+
But, I want to get the average of time_value and the average of p1 and then need to GROUP by minute_ value. If I used above query for that with the relevant changes as follows,
SELECT date_time date, AVG(UNIX_TIMESTAMP(date_time)) AS time_value, FLOOR((MINUTE(date_time) + (HOUR(date_time)*60))/3) AS minute_value, ROUND(AVG(ph1_active_power),4) AS p1
FROM powerpro1
GROUP BY minute_value
I got the incorrect out put as mentioned below.
+-----------+---------------------+-----------------+--------------+--------+
| record_no | date | time_value | minute_value | p1 |
+-----------+---------------------+-----------------+--------------+--------+
| 1 | 2014-12-01 00:00:00 | 1418754688.6364 | 0 | 2.2622 |
| 4 | 2014-12-01 00:03:00 | 1418754868.6364 | 1 | 2.2541 |
| 7 | 2014-12-01 00:06:00 | 1418755048.6364 | 2 | 2.246 |
| 10 | 2014-12-01 00:09:00 | 1418755228.6364 | 3 | 2.2378 |
| 13 | 2014-12-01 00:12:00 | 1418755408.6364 | 4 | 2.2297 |
| 16 | 2014-12-01 00:15:00 | 1418755588.6364 | 5 | 2.2216 |
| 19 | 2014-12-01 00:18:00 | 1418755768.6364 | 6 | 2.2134 |
| 22 | 2014-12-01 00:21:00 | 1418755948.6364 | 7 | 2.2052 |
+-----------+---------------------+-----------------+--------------+--------+
Required Output :
+-----------+---------------------+--------------+------------+---------+
| record_no | time_value | minute_value | time_value | p1 |
+-----------+---------------------+--------------+------------+---------+
| 2 | 2014-12-01 00:01:00 | 0 | 1417372260 | 73.0293 |
| 5 | 2014-12-01 00:04:00 | 1 | 1417372440 | 72.8868 |
| 8 | 2014-12-01 00:07:00 | 2 | 1417372620 | 72.744 |
| 11 | 2014-12-01 00:10:00 | 3 | 1417372800 | 72.6009 |
| 14 | 2014-12-01 00:13:00 | 4 | 1417372980 | 72.4575 |
+-----------+---------------------+--------------+------------+---------+
What may be the wrong.
Can anyone help me using the valuable time and knowledge.
can you try this?
SELECT date_time date, SUM(UNIX_TIMESTAMP(date_time))/COUNT(record_no) AS time_value, FLOOR((MINUTE(date_time) + (HOUR(date_time)*60))/3)*3 AS minute_value, ROUND((SUM(ph1_active_power)/COUNT(record_no)),4) AS p1
FROM powerpro1
GROUP BY minute_value
I have done it by the following query :
SELECT record_no, date_time,
ROUND(AVG(UNIX_TIMESTAMP(date_time))) AS time_value,
ROUND(AVG(ph1_active_power),4) AS p1
FROM powerpro1
WHERE date_time <= '2014-12-20 00:00:00'
GROUP BY date_time DIV 300
Related
I am attempting to join table_a and table_b together on their nearest/closest datetime fields (date_a and date_b), but I am wanting to ensure that I do not receive duplicate values from table_b for each joined row. If the available date_b rows from table_b are used up on closer table_a values, then the joined row should just remain blank.
Another way of putting it: the datetime values from table_b can only be used once, and they should only be used on the absolute closest/nearest value from table_a.
Here's an example of table_a:
| entry_a | date_a |
|---------|---------------------|
| 1 | 2019-02-20 01:05:00 |
| 2 | 2019-02-20 01:10:00 |
| 3 | 2019-02-21 01:15:00 |
| 4 | 2019-02-22 01:20:00 |
| 5 | 2019-02-23 01:25:00 |
| 6 | 2019-02-24 01:30:00 |
| 7 | 2019-02-25 01:35:00 |
| 8 | 2019-02-26 01:40:00 |
| 9 | 2019-02-27 01:45:00 |
| 10 | 2019-02-28 01:50:00 |
Here's table_b:
| entry_b | date_b | filename |
|---------|---------------------|----------------|
| 1 | 2019-02-20 01:03:00 | 20190220010300 |
| 2 | 2019-02-20 01:07:00 | 20190220010700 |
| 3 | 2019-02-23 01:23:00 | 20190223012300 |
| 4 | 2019-02-24 01:26:00 | 20190224012600 |
| 5 | 2019-02-25 01:30:00 | 20190225013000 |
| 6 | 2019-02-26 01:34:00 | 20190226013400 |
| 7 | 2019-02-27 01:40:00 | 20190227014000 |
| 8 | 2019-02-28 01:50:00 | 20190228015000 |
| 9 | 2019-02-28 01:51:00 | 20190228015100 |
And here's the desired result:
| entry_a | date_a | entry_b | date_b | filename |
|---------|---------------------|---------|---------------------|----------------|
| 1 | 2019-02-20 01:05:00 | 1 | 2019-02-20 01:03:00 | 20190220010300 |
| 2 | 2019-02-20 01:10:00 | 2 | 2019-02-20 01:07:00 | 20190220010700 |
| 3 | 2019-02-21 01:15:00 | (null) | (null) | (null) |
| 4 | 2019-02-22 01:20:00 | 3 | 2019-02-23 01:23:00 | 20190223012300 |
| 5 | 2019-02-23 01:25:00 | 4 | 2019-02-24 01:26:00 | 20190224012600 |
| 6 | 2019-02-24 01:30:00 | 5 | 2019-02-25 01:30:00 | 20190225013000 |
| 7 | 2019-02-25 01:35:00 | 6 | 2019-02-26 01:34:00 | 20190226013400 |
| 8 | 2019-02-26 01:40:00 | 7 | 2019-02-27 01:40:00 | 20190227014000 |
| 9 | 2019-02-27 01:45:00 | 8 | 2019-02-28 01:50:00 | 20190228015000 |
| 10 | 2019-02-28 01:50:00 | 9 | 2019-02-28 01:51:00 | 20190228015100 |
One thing to particularly note in the desired result: the last two rows show that date_b.8 and date_a.10 match exactly ... but if date_b.8 and date_a.9 are allowed to match, then date_b.9 and date_a.10 can match on something fairly close, also. (If this is an impossible complication, I understand. It's not critical. What's more important is the situation illustrated in rows 2-4 of the result_table.)
I am using MySQL 5.6. I've built a SQL fiddle here with the tables loaded up: DEMO
Thank you all very kindly for your help and for the many answers you've provided to guide me over the years.
I'm trying to display the sum of monthly revenue from different unrelated tables, Where i display the budgeted against the actual usage
I have two tables Planned Budget and actual budget, with with similar columns but different data, in a query i want retrieve the sum of budget and group it Yearly and monthly.
Planned Budget table
+-----+-------+-------------+-------------+
| uid | codes | opca_budget | date_period |
+-----+-------+-------------+-------------+
| 10 | 3210 | 3000 | 2018-03-01 |
| 17 | 3355 | 3000 | 2018-03-01 |
| 33 | 3210 | 4000 | 2018-04-01 |
| 40 | 3355 | 4000 | 2018-04-01 |
| 56 | 3210 | 5000 | 2018-05-01 |
| 63 | 3355 | 5000 | 2018-05-01 |
| 79 | 3210 | 6000 | 2018-06-01 |
| 86 | 3355 | 6000 | 2018-06-01 |
| 109 | 3355 | 45000 | 2018-07-01 |
Actual Budget
+-----+-------+-------------+---------------------+
| uid | codes | opca_budget | date_period |
+-----+-------+-------------+---------------------+
| 10 | 3210 | 6500 | 2018-03-01 00:00:00 |
| 17 | 3355 | 6500 | 2018-03-01 00:00:00 |
| 18 | 3120 | 6500 | 2018-03-01 00:00:00 |
| 33 | 3210 | 7500 | 2018-04-01 00:00:00 |
| 40 | 3355 | 7500 | 2018-04-01 00:00:00 |
| 41 | 3120 | 7500 | 2018-04-01 00:00:00 |
| 56 | 3210 | 8500 | 2018-05-01 00:00:00 |
| 63 | 3355 | 8500 | 2018-05-01 00:00:00 |
| 64 | 3120 | 8500 | 2018-05-01 00:00:00 |
I tried to combine them horizontally, But i get wrong results
SELECT YEAR(c.date_period)
, MONTH(c.date_period)
, SUM(c.opca_budget) MonthlyBudget
, SUM(a.opca_budget) MonthlyUsage
FROM opexcapex c
LEFT
JOIN opxcpx_actuals a
ON YEAR(c.date_period) = YEAR(a.date_period)
AND MONTH(c.date_period) = MONTH(a.date_period)
WHERE c.date_period BETWEEN '2018-03-01' AND '2019-02-29'
GROUP
BY YEAR(c.date_period)
, MONTH(c.date_period);
+------+-------+---------------+--------------+
| Year | Month | MonthlyBudget | MonthlyUsage |
+------+-------+---------------+--------------+
| 2018 | 3 | 168000 | 364000 |
| 2018 | 4 | 224000 | 420000 |
| 2018 | 5 | 280000 | 476000 |
| 2018 | 6 | 336000 | 532000 |
| 2018 | 7 | 2520000 | 588000 |
| 2018 | 8 | 576000 | 367200 |
| 2018 | 9 | 3240000 | 367200 |
| 2018 | 10 | 720000 | 252000 |
| 2018 | 11 | 792000 | 1807200 |
| 2018 | 12 | 2583000 | 1323000 |
| 2019 | 1 | 9000 | NULL |
| 2019 | 2 | 36000 | NULL |
+------+-------+---------------+--------------+
I expect to get results like this:
+-----------+-------------+---------------+--------------+
| BudgtYear | BudgetMonth | MonthlyBudget | MonthlyUsage |
+-----------+-------------+---------------+--------------+
| 2018 | 3 | 24000 | 45500 |
| 2018 | 4 | 32000 | 52500 |
| 2018 | 5 | 40000 | 59500 |
| 2018 | 6 | 48000 | 66500 |
| 2018 | 7 | 360000 | 73500 |
| 2018 | 8 | 72000 | 40800 |
| 2018 | 9 | 405000 | 40800 |
| 2018 | 10 | 90000 | 28000 |
| 2018 | 11 | 99000 | 200800 |
| 2018 | 12 | 369000 | 147000 |
| 2019 | 1 | 9000 | |
| 2019 | 2 | 36000 | |
+-----------+-------------+---------------+--------------+
You want to do a UNION ALL as a sub-query and then calculate the sum on the value from that sub-query, notice also that I use two amount columns in the union but one is always null, this is to have the two selects return the same number of columns but separated values
SELECT YEAR(date_period) as year, MONTH(date_period) as month, SUM(mbudget) AS MonthlyBudget, SUM(musage) as MonthlyUsage
FROM (SELECT date_period, opca_budget mbudget, null musage
FROM opexcapex
UNION ALL
SELECT date_period, null, opca_budget
FROM opxcpx_actuals
) sq
WHERE date_period BETWEEN '2018-03-01' AND '2019-02-29'
GROUP BY year, month
You should be able to UNION the 2 tables first, then SELECT from the resulting data, something like this (Updated query) :-
SELECT YEAR(date_period), MONTH(date_period), MonthlyBudget, MonthlyUsage
FROM
(SELECT date_period, opca_budget as MonthlyBudget, 0 as MonthlyUsage FROM
opexcapex
UNION
SELECT date_period, 0 as MonthlyBudget, opca_budget as MonthlyUsage FROM
opxcpx_actuals) T1
WHERE date_period BETWEEN '2018-03-01' AND '2019-02-29'
GROUP BY YEAR(date_period), MONTH(date_period);
I have this database with this records
+-----+---------------------+---------+---------+
| id | since | idUsers | km |
+-----+---------------------+---------+---------+
| 124 | 2005-07-18 15:00:00 | 1 | 25798.0 |
| 127 | 2005-07-19 18:00:00 | 3 | 25891.7 |
| 128 | 2005-07-20 00:00:00 | 3 | 25970.2 |
| 129 | 2005-07-18 12:00:00 | 3 | 25795.0 |
| 136 | 2005-07-19 15:00:00 | 1 | 25852.0 |
| 137 | 2005-07-23 12:00:00 | 1 | 26143.6 |
| 139 | 2005-08-07 00:00:00 | 1 | NULL |
| 140 | 2005-08-21 00:00:00 | 1 | NULL |
| 146 | 2005-07-27 15:00:00 | 2 | 26164.0 |
| 147 | 2005-07-28 15:00:00 | 2 | 26178.9 |
| 151 | 2005-08-17 13:00:00 | 1 | 26245.0 |
| 149 | 2005-08-08 18:00:00 | 1 | 26204.9 |
| 150 | 2005-08-10 15:00:00 | 1 | 26221.4 |
| 155 | 2005-08-27 19:00:00 | 1 | NULL |
| 154 | 2005-08-29 09:00:00 | 2 | 26438.3 |
| 156 | 2005-08-28 00:00:00 | 1 | NULL |
| 157 | 2005-08-29 14:00:00 | 3 | 26468.3 |
| 158 | 2005-09-07 15:00:00 | 2 | 26504.2 |
| 159 | 2005-09-05 13:00:00 | 1 | 26478.5 |
| 160 | 2005-09-02 13:00:00 | 1 | 26473.8 |
| 161 | 2005-09-25 12:00:00 | 3 | 26550.4 |
| 162 | 2006-04-02 13:00:00 | 3 | 26599.0 |
| 163 | 2006-04-14 18:00:00 | 1 | NULL |
| 164 | 2006-04-15 00:00:00 | 1 | NULL |
| 169 | 2006-04-16 00:00:00 | 1 | 26703.3 |
| 166 | 2006-04-29 12:00:00 | 1 | NULL |
| 168 | 2006-04-30 00:00:00 | 1 | NULL |
| 170 | 2006-04-16 08:00:00 | 3 | 26709.0 |
| 175 | 2006-05-27 00:00:00 | 3 | NULL |
| 176 | 2006-05-28 00:00:00 | 3 | 27072.0 |
| 177 | 2006-05-26 18:00:00 | 3 | NULL |
| 178 | 2006-04-18 15:00:00 | 2 | 26751.0 |
| 179 | 2006-04-16 17:00:00 | 2 | 26726.0 |
| 181 | 2006-04-23 07:00:00 | 3 | 26775.0 |
| 182 | 2006-05-01 00:00:00 | 1 | 26932.4 |
| 183 | 2006-04-30 18:00:00 | 1 | NULL |
| 184 | 2006-05-11 17:00:00 | 2 | 26988.0 |
| 186 | 2006-06-12 12:00:00 | 2 | 27092.0 |
| 187 | 2006-06-11 19:00:00 | 1 | NULL |
| 188 | 2006-06-12 00:00:00 | 1 | NULL |
| 189 | 2006-06-15 17:00:00 | 2 | 27134.0 |
| 191 | 2006-07-01 11:00:00 | 3 | 27199.0 |
| 192 | 2006-06-23 16:00:00 | 3 | 27162.0 |
| 193 | 2006-07-09 15:00:00 | 2 | 27211.0 |
| 194 | 2006-06-30 18:00:00 | 1 | 27183.0 |
| 195 | 2006-07-26 11:00:00 | 2 | NULL |
| 196 | 2006-08-15 14:00:00 | 2 | 27351.0 |
| 197 | 2006-08-05 16:00:00 | 3 | 27338.0 |
| 198 | 2006-08-06 16:00:00 | 3 | 27341.0 |
| 199 | 2006-09-05 18:00:00 | 3 | NULL |
| 201 | 2006-09-06 00:00:00 | 3 | 27506.0 |
| 202 | 2006-09-16 13:00:00 | 1 | NULL |
| 203 | 2006-09-17 00:00:00 | 1 | NULL |
| 204 | 2006-09-18 00:00:00 | 1 | NULL |
| 205 | 2006-09-19 00:00:00 | 1 | 27568.6 |
| 206 | 2006-10-10 18:00:00 | 1 | 27569.4 |
| 207 | 2006-10-30 15:00:00 | 1 | 27581.5 |
| 209 | 2006-12-29 18:00:00 | 2 | NULL |
| 216 | 2007-04-01 08:00:00 | 1 | 27725.0 |
| 227 | 2007-04-26 00:00:00 | 2 | NULL |
| 214 | 2007-03-29 09:00:00 | 1 | 27675.5 |
| 215 | 2007-03-31 10:00:00 | 1 | 27689.2 |
| 225 | 2007-04-15 08:00:00 | 1 | 27880.3 |
| 224 | 2007-04-14 19:00:00 | 1 | 27800.0 |
| 223 | 2007-04-14 12:00:00 | 1 | 27775.0 |
| 228 | 2007-04-26 23:00:00 | 2 | NULL |
| 229 | 2007-04-27 00:00:00 | 2 | 28000.4 |
| 230 | 2007-04-28 00:00:00 | 2 | NULL |
| 231 | 2007-04-25 12:00:00 | 2 | NULL |
| 232 | 2007-04-20 18:00:00 | 1 | 27906.3 |
| 233 | 2007-04-22 15:00:00 | 1 | 27928.6 |
| 234 | 2007-04-21 17:00:00 | 1 | 27915.2 |
| 236 | 2007-04-23 19:00:00 | 1 | 28068.0 |
| 237 | 2007-05-01 07:00:00 | 3 | 28103.0 |
| 238 | 2007-04-28 18:00:00 | 1 | 28030.3 |
| 239 | 2007-05-20 11:00:00 | 1 | 28174.2 |
| 240 | 2007-05-20 15:00:00 | 2 | 28181.0 |
| 241 | 2007-05-23 16:00:00 | 2 | 28198.0 |
| 242 | 2007-06-03 16:00:00 | 2 | 28238.0 |
| 243 | 2007-06-10 09:00:00 | 3 | NULL |
| 244 | 2007-07-01 12:00:00 | 2 | 28291.0 |
| 245 | 2007-07-07 15:00:00 | 2 | 28343.0 |
| 246 | 2007-07-30 15:00:00 | 1 | 28354.8 |
| 247 | 2007-07-31 12:00:00 | 1 | 28476.9 |
| 248 | 2007-08-01 15:00:00 | 1 | NULL |
| 249 | 2007-08-04 11:00:00 | 3 | NULL |
| 250 | 2007-08-05 00:00:00 | 3 | NULL |
| 251 | 2007-08-05 10:00:00 | 3 | NULL |
| 252 | 2007-08-06 00:00:00 | 3 | 28708.0 |
| 253 | 2007-08-09 17:00:00 | 1 | 28729.9 |
| 254 | 2007-08-24 19:00:00 | 2 | 28806.0 |
| 255 | 2007-09-01 10:00:00 | 2 | 28812.0 |
| 256 | 2007-09-16 13:00:00 | 3 | 28842.0 |
| 257 | 2007-10-16 02:00:00 | 2 | NULL |
| 258 | 2008-06-19 12:00:00 | 1 | NULL |
| 259 | 2008-06-20 00:00:00 | 1 | NULL |
| 260 | 2008-06-21 00:00:00 | 1 | NULL |
| 261 | 2008-06-22 00:00:00 | 1 | NULL |
| 262 | 2008-06-23 00:00:00 | 1 | NULL |
| 263 | 2008-06-24 00:00:00 | 1 | 28986.7 |
| 264 | 2008-06-26 18:00:00 | 2 | 28997.0 |
| 265 | 2008-06-29 13:00:00 | 2 | 28998.0 |
| 266 | 2008-06-29 18:00:00 | 3 | 29012.0 |
| 267 | 2008-07-08 16:00:00 | 2 | 29019.0 |
| 268 | 2008-07-28 18:00:00 | 2 | 29082.0 |
| 269 | 2008-08-10 15:00:00 | 2 | 29192.0 |
| 270 | 2008-08-21 17:00:00 | 2 | NULL |
| 271 | 2008-08-24 13:00:00 | 2 | 29281.0 |
| 272 | 2008-08-27 21:00:00 | 3 | NULL |
| 273 | 2008-08-28 00:00:00 | 3 | NULL |
| 274 | 2008-08-29 00:00:00 | 3 | NULL |
| 275 | 2008-08-30 00:00:00 | 3 | 29343.0 |
| 276 | 2008-08-30 18:00:00 | 2 | 29352.0 |
| 277 | 2008-09-05 17:00:00 | 2 | 29385.0 |
| 279 | 2008-10-10 14:00:00 | 1 | NULL |
| 280 | 2008-10-11 00:00:00 | 1 | NULL |
| 281 | 2008-10-12 00:00:00 | 1 | NULL |
| 282 | 2008-10-13 00:00:00 | 1 | 29459.0 |
| 283 | 2009-04-05 10:00:00 | 2 | 29460.0 |
| 286 | 2009-04-19 10:00:00 | 3 | 29471.0 |
| 285 | 2009-05-02 00:00:00 | 1 | NULL |
| 287 | 2009-04-22 15:00:00 | 2 | 29486.0 |
| 288 | 2009-05-01 10:00:00 | 1 | NULL |
| 290 | 2009-05-20 15:00:00 | 3 | NULL |
| 289 | 2009-05-03 00:00:00 | 1 | 29668.6 |
| 291 | 2009-05-21 00:00:00 | 3 | NULL |
| 292 | 2009-05-22 00:00:00 | 3 | NULL |
| 293 | 2009-05-23 00:00:00 | 3 | NULL |
| 294 | 2009-05-22 09:00:00 | 3 | NULL |
| 295 | 2009-05-24 00:00:00 | 3 | 29820.0 |
| 296 | 2009-05-31 15:00:00 | 2 | 29830.0 |
| 297 | 2009-06-07 16:00:00 | 1 | 29850.3 |
| 298 | 2009-07-05 00:00:00 | 1 | 0.0 |
| 299 | 2009-06-28 12:00:00 | 2 | 29895.0 |
| 300 | 2009-07-04 17:00:00 | 2 | 29977.0 |
| 301 | 2009-06-29 16:00:00 | 2 | 29935.0 |
| 302 | 2009-07-11 19:00:00 | 2 | 29991.0 |
| 303 | 2009-07-26 17:00:00 | 2 | 29993.0 |
| 304 | 2009-07-27 00:00:00 | 3 | 30138.0 |
| 305 | 2009-08-04 18:00:00 | 3 | 30200.0 |
| 306 | 2009-08-05 00:00:00 | 3 | 30205.0 |
| 307 | 2009-08-06 00:00:00 | 3 | 30219.0 |
| 308 | 2009-08-15 09:00:00 | 3 | NULL |
| 309 | 2009-08-15 20:00:00 | 2 | 30357.0 |
| 310 | 2009-09-06 12:00:00 | 2 | 30408.0 |
| 311 | 2009-09-07 17:00:00 | 2 | 30453.0 |
| 312 | 2009-09-11 11:00:00 | 2 | 0.0 |
| 313 | 2009-10-25 08:00:00 | 1 | 30531.7 |
| 314 | 2009-10-01 19:00:00 | 1 | 0.0 |
| 317 | 2010-04-07 18:00:00 | 2 | 30571.0 |
| 316 | 2010-03-31 10:00:00 | 1 | 0.0 |
| 318 | 2010-04-18 12:00:00 | 2 | 30640.0 |
| 319 | 2010-04-29 13:00:00 | 1 | 30665.5 |
| 320 | 2010-05-21 16:00:00 | 3 | NULL |
| 321 | 2010-05-22 00:00:00 | 3 | 30752.6 |
| 322 | 2010-05-26 19:00:00 | 1 | 30762.4 |
| 323 | 2010-05-29 18:00:00 | 1 | 30810.8 |
| 344 | 2010-07-19 16:00:00 | 1 | 31062.7 |
| 348 | 2010-08-22 13:00:00 | 2 | NULL |
| 347 | 2010-08-08 09:00:00 | 2 | 31567.0 |
| 346 | 2010-07-25 15:00:00 | 1 | 31485.5 |
| 345 | 2010-07-20 11:00:00 | 1 | 0.0 |
| 343 | 2010-07-21 00:00:00 | 1 | 31382.5 |
| 334 | 2010-06-07 14:00:00 | 2 | 30837.0 |
| 335 | 2010-06-24 18:00:00 | 2 | 30853.0 |
| 336 | 2010-07-01 15:00:00 | 2 | NULL |
| 337 | 2010-07-03 07:00:00 | 2 | 30948.0 |
| 338 | 2010-07-13 12:00:00 | 1 | NULL |
| 339 | 2010-07-13 19:00:00 | 1 | NULL |
| 340 | 2010-07-12 16:00:00 | 1 | NULL |
| 341 | 2010-07-11 21:00:00 | 1 | NULL |
| 349 | 2010-08-22 13:00:00 | 2 | 31682.0 |
| 350 | 2010-09-05 06:00:00 | 2 | 31724.0 |
| 351 | 2010-09-19 14:00:00 | 1 | 31772.4 |
+-----+---------------------+---------+---------+
Now i have to find out which user drove how many km..
i tried it with this
SELECT tt.idusers,sum(tt.next_km - tt.km) as TOTAL_KM
FROM (
SELECT t.idusers,t.km,
(SELECT s.km FROM Reservations s
WHERE s.since > t.since
AND s.km is not null
ORDER BY s.since
LIMIT 1) as next_km
FROM Reservations t) tt
WHERE tt.km is not null
GROUP BY tt.idusers
but then i'll get this output
idusers | TOTAL_KM |
1 | 62831.2
2 | -58077.7
3 | 1223.9
as you see i the query sorts the results for the 'since' so all should be correct and the data is from the odometer when they got the car
but i have problems with the NULLs, they just mess up everything
The query works as follows:
It takes the the km count from the next ID and then calculates minus km from the current ID so it could be NULL(=0)-29945 = -29945 Instead i would like to have it like this: if the next id is equal 0 then the it should take the value from the current km count so that it is like 29945 - 29945 = 0
That would solve the problem, but the next problem is that they are more NULLs in a row.. so it will mess up again
Desired Output should be like:
idUsers | TOTAL_KM
1 | total km from him
2 | total km from him
3 | total km from him
Therefore i ask you if you know a solution to solve this problem or just e query that works..
You can try and check with an IF inside the sum()
SELECT tt.idusers,
sum(
IF(tt.next_km IS NOT NULL AND tt.next_km > 0,tt.next_km - tt.km, tt.km)
) as TOTAL_KM
FROM (
SELECT t.idusers,t.km,
(SELECT s.km FROM Reservations s
WHERE s.since > t.since
AND s.km is not null
ORDER BY s.since
LIMIT 1) as next_km
FROM Reservations t) tt
WHERE tt.km is not null
GROUP BY tt.idusers
This may help you to not get negative result
If tt.next_km is not null and greater than 0 it will return (next_km - km) otherwise it return km, if you want to return 0 when tt-next_km is null then you must change the third expression as shown below to 0
From MySQL Docs
IF(expr1,expr2,expr3)
If I understand correctly, you need the "next" number of km. Then you can use group by:
select r.idusers, sum(r2.next_km - r.km) as total_km
from (select r.*,
(select r2.km
from reservations r2
where r2.since > r.since and r2.km is not null
order by r2.since
limit 1
) as next_km
from reservations r
) r
group by r.idusers;
Hmmm . . . This does look a lot like your query. You should check the data and be sure that the km column is uniformly increasing.
Users are messing . Try
SELECT tt.idusers,sum(tt.next_km - tt.km) as TOTAL_KM
FROM (
SELECT t.idusers,t.km,
(SELECT s.km FROM Reservations s
WHERE s.idusers=t.idusers -- missing part
AND s.since > t.since
AND s.km is not null
ORDER BY s.since
LIMIT 1) as next_km
FROM Reservations t) tt
WHERE tt.km is not null
GROUP BY tt.idusers
I have create a query which solves this problem.
I have a DB with the structure like this
+-----+---------------------+---------+---------+
| id | since | idUsers | km |
+-----+---------------------+---------+---------+
| 124 | 2005-07-18 15:00:00 | 1 | 25798.0 |
| 127 | 2005-07-19 18:00:00 | 3 | 25891.7 |
| 128 | 2005-07-20 00:00:00 | 3 | 25970.2 |
| 129 | 2005-07-18 12:00:00 | 3 | 25795.0 |
| 136 | 2005-07-19 15:00:00 | 1 | 25852.0 |
| 137 | 2005-07-23 12:00:00 | 1 | 26143.6 |
| 139 | 2005-08-07 00:00:00 | 1 | NULL |
| 140 | 2005-08-21 00:00:00 | 1 | NULL |
| 146 | 2005-07-27 15:00:00 | 2 | 26164.0 |
| 147 | 2005-07-28 15:00:00 | 2 | 26178.9 |
| 151 | 2005-08-17 13:00:00 | 1 | 26245.0 |
| 149 | 2005-08-08 18:00:00 | 1 | 26204.9 |
| 150 | 2005-08-10 15:00:00 | 1 | 26221.4 |
| 155 | 2005-08-27 19:00:00 | 1 | NULL |
| 154 | 2005-08-29 09:00:00 | 2 | 26438.3 |
| 156 | 2005-08-28 00:00:00 | 1 | NULL |
| 157 | 2005-08-29 14:00:00 | 3 | 26468.3 |
| 158 | 2005-09-07 15:00:00 | 2 | 26504.2 |
| 159 | 2005-09-05 13:00:00 | 1 | 26478.5 |
| 160 | 2005-09-02 13:00:00 | 1 | 26473.8 |
| 161 | 2005-09-25 12:00:00 | 3 | 26550.4 |
| 162 | 2006-04-02 13:00:00 | 3 | 26599.0 |
| 163 | 2006-04-14 18:00:00 | 1 | NULL |
| 164 | 2006-04-15 00:00:00 | 1 | NULL |
| 169 | 2006-04-16 00:00:00 | 1 | 26703.3 |
| 166 | 2006-04-29 12:00:00 | 1 | NULL |
| 168 | 2006-04-30 00:00:00 | 1 | NULL |
| 170 | 2006-04-16 08:00:00 | 3 | 26709.0 |
| 175 | 2006-05-27 00:00:00 | 3 | NULL |
| 176 | 2006-05-28 00:00:00 | 3 | 27072.0 |
| 177 | 2006-05-26 18:00:00 | 3 | NULL |
| 178 | 2006-04-18 15:00:00 | 2 | 26751.0 |
| 179 | 2006-04-16 17:00:00 | 2 | 26726.0 |
| 181 | 2006-04-23 07:00:00 | 3 | 26775.0 |
| 182 | 2006-05-01 00:00:00 | 1 | 26932.4 |
| 183 | 2006-04-30 18:00:00 | 1 | NULL |
| 184 | 2006-05-11 17:00:00 | 2 | 26988.0 |
| 186 | 2006-06-12 12:00:00 | 2 | 27092.0 |
| 187 | 2006-06-11 19:00:00 | 1 | NULL |
| 188 | 2006-06-12 00:00:00 | 1 | NULL |
| 189 | 2006-06-15 17:00:00 | 2 | 27134.0 |
| 191 | 2006-07-01 11:00:00 | 3 | 27199.0 |
| 192 | 2006-06-23 16:00:00 | 3 | 27162.0 |
| 193 | 2006-07-09 15:00:00 | 2 | 27211.0 |
| 194 | 2006-06-30 18:00:00 | 1 | 27183.0 |
| 195 | 2006-07-26 11:00:00 | 2 | NULL |
| 196 | 2006-08-15 14:00:00 | 2 | 27351.0 |
| 197 | 2006-08-05 16:00:00 | 3 | 27338.0 |
| 198 | 2006-08-06 16:00:00 | 3 | 27341.0 |
| 199 | 2006-09-05 18:00:00 | 3 | NULL |
| 201 | 2006-09-06 00:00:00 | 3 | 27506.0 |
| 202 | 2006-09-16 13:00:00 | 1 | NULL |
| 203 | 2006-09-17 00:00:00 | 1 | NULL |
| 204 | 2006-09-18 00:00:00 | 1 | NULL |
| 205 | 2006-09-19 00:00:00 | 1 | 27568.6 |
| 206 | 2006-10-10 18:00:00 | 1 | 27569.4 |
| 207 | 2006-10-30 15:00:00 | 1 | 27581.5 |
| 209 | 2006-12-29 18:00:00 | 2 | NULL |
| 216 | 2007-04-01 08:00:00 | 1 | 27725.0 |
| 227 | 2007-04-26 00:00:00 | 2 | NULL |
| 214 | 2007-03-29 09:00:00 | 1 | 27675.5 |
| 215 | 2007-03-31 10:00:00 | 1 | 27689.2 |
| 225 | 2007-04-15 08:00:00 | 1 | 27880.3 |
| 224 | 2007-04-14 19:00:00 | 1 | 27800.0 |
| 223 | 2007-04-14 12:00:00 | 1 | 27775.0 |
| 228 | 2007-04-26 23:00:00 | 2 | NULL |
| 229 | 2007-04-27 00:00:00 | 2 | 28000.4 |
| 230 | 2007-04-28 00:00:00 | 2 | NULL |
| 231 | 2007-04-25 12:00:00 | 2 | NULL |
| 232 | 2007-04-20 18:00:00 | 1 | 27906.3 |
| 233 | 2007-04-22 15:00:00 | 1 | 27928.6 |
| 234 | 2007-04-21 17:00:00 | 1 | 27915.2 |
| 236 | 2007-04-23 19:00:00 | 1 | 28068.0 |
| 237 | 2007-05-01 07:00:00 | 3 | 28103.0 |
| 238 | 2007-04-28 18:00:00 | 1 | 28030.3 |
| 239 | 2007-05-20 11:00:00 | 1 | 28174.2 |
| 240 | 2007-05-20 15:00:00 | 2 | 28181.0 |
| 241 | 2007-05-23 16:00:00 | 2 | 28198.0 |
| 242 | 2007-06-03 16:00:00 | 2 | 28238.0 |
| 243 | 2007-06-10 09:00:00 | 3 | NULL |
| 244 | 2007-07-01 12:00:00 | 2 | 28291.0 |
| 245 | 2007-07-07 15:00:00 | 2 | 28343.0 |
| 246 | 2007-07-30 15:00:00 | 1 | 28354.8 |
| 247 | 2007-07-31 12:00:00 | 1 | 28476.9 |
| 248 | 2007-08-01 15:00:00 | 1 | NULL |
| 249 | 2007-08-04 11:00:00 | 3 | NULL |
| 250 | 2007-08-05 00:00:00 | 3 | NULL |
| 251 | 2007-08-05 10:00:00 | 3 | NULL |
| 252 | 2007-08-06 00:00:00 | 3 | 28708.0 |
| 253 | 2007-08-09 17:00:00 | 1 | 28729.9 |
| 254 | 2007-08-24 19:00:00 | 2 | 28806.0 |
| 255 | 2007-09-01 10:00:00 | 2 | 28812.0 |
| 256 | 2007-09-16 13:00:00 | 3 | 28842.0 |
| 257 | 2007-10-16 02:00:00 | 2 | NULL |
| 258 | 2008-06-19 12:00:00 | 1 | NULL |
| 259 | 2008-06-20 00:00:00 | 1 | NULL |
| 260 | 2008-06-21 00:00:00 | 1 | NULL |
| 261 | 2008-06-22 00:00:00 | 1 | NULL |
| 262 | 2008-06-23 00:00:00 | 1 | NULL |
| 263 | 2008-06-24 00:00:00 | 1 | 28986.7 |
| 264 | 2008-06-26 18:00:00 | 2 | 28997.0 |
| 265 | 2008-06-29 13:00:00 | 2 | 28998.0 |
| 266 | 2008-06-29 18:00:00 | 3 | 29012.0 |
| 267 | 2008-07-08 16:00:00 | 2 | 29019.0 |
| 268 | 2008-07-28 18:00:00 | 2 | 29082.0 |
| 269 | 2008-08-10 15:00:00 | 2 | 29192.0 |
| 270 | 2008-08-21 17:00:00 | 2 | NULL |
| 271 | 2008-08-24 13:00:00 | 2 | 29281.0 |
| 272 | 2008-08-27 21:00:00 | 3 | NULL |
| 273 | 2008-08-28 00:00:00 | 3 | NULL |
| 274 | 2008-08-29 00:00:00 | 3 | NULL |
| 275 | 2008-08-30 00:00:00 | 3 | 29343.0 |
| 276 | 2008-08-30 18:00:00 | 2 | 29352.0 |
| 277 | 2008-09-05 17:00:00 | 2 | 29385.0 |
| 279 | 2008-10-10 14:00:00 | 1 | NULL |
| 280 | 2008-10-11 00:00:00 | 1 | NULL |
| 281 | 2008-10-12 00:00:00 | 1 | NULL |
| 282 | 2008-10-13 00:00:00 | 1 | 29459.0 |
| 283 | 2009-04-05 10:00:00 | 2 | 29460.0 |
| 286 | 2009-04-19 10:00:00 | 3 | 29471.0 |
| 285 | 2009-05-02 00:00:00 | 1 | NULL |
| 287 | 2009-04-22 15:00:00 | 2 | 29486.0 |
| 288 | 2009-05-01 10:00:00 | 1 | NULL |
| 290 | 2009-05-20 15:00:00 | 3 | NULL |
| 289 | 2009-05-03 00:00:00 | 1 | 29668.6 |
| 291 | 2009-05-21 00:00:00 | 3 | NULL |
| 292 | 2009-05-22 00:00:00 | 3 | NULL |
| 293 | 2009-05-23 00:00:00 | 3 | NULL |
| 294 | 2009-05-22 09:00:00 | 3 | NULL |
| 295 | 2009-05-24 00:00:00 | 3 | 29820.0 |
| 296 | 2009-05-31 15:00:00 | 2 | 29830.0 |
| 297 | 2009-06-07 16:00:00 | 1 | 29850.3 |
| 298 | 2009-07-05 00:00:00 | 1 | 0.0 |
| 299 | 2009-06-28 12:00:00 | 2 | 29895.0 |
| 300 | 2009-07-04 17:00:00 | 2 | 29977.0 |
| 301 | 2009-06-29 16:00:00 | 2 | 29935.0 |
| 302 | 2009-07-11 19:00:00 | 2 | 29991.0 |
| 303 | 2009-07-26 17:00:00 | 2 | 29993.0 |
| 304 | 2009-07-27 00:00:00 | 3 | 30138.0 |
| 305 | 2009-08-04 18:00:00 | 3 | 30200.0 |
| 306 | 2009-08-05 00:00:00 | 3 | 30205.0 |
| 307 | 2009-08-06 00:00:00 | 3 | 30219.0 |
| 308 | 2009-08-15 09:00:00 | 3 | NULL |
| 309 | 2009-08-15 20:00:00 | 2 | 30357.0 |
| 310 | 2009-09-06 12:00:00 | 2 | 30408.0 |
| 311 | 2009-09-07 17:00:00 | 2 | 30453.0 |
| 312 | 2009-09-11 11:00:00 | 2 | 0.0 |
| 313 | 2009-10-25 08:00:00 | 1 | 30531.7 |
| 314 | 2009-10-01 19:00:00 | 1 | 0.0 |
| 317 | 2010-04-07 18:00:00 | 2 | 30571.0 |
| 316 | 2010-03-31 10:00:00 | 1 | 0.0 |
| 318 | 2010-04-18 12:00:00 | 2 | 30640.0 |
| 319 | 2010-04-29 13:00:00 | 1 | 30665.5 |
| 320 | 2010-05-21 16:00:00 | 3 | NULL |
| 321 | 2010-05-22 00:00:00 | 3 | 30752.6 |
| 322 | 2010-05-26 19:00:00 | 1 | 30762.4 |
| 323 | 2010-05-29 18:00:00 | 1 | 30810.8 |
| 344 | 2010-07-19 16:00:00 | 1 | 31062.7 |
| 348 | 2010-08-22 13:00:00 | 2 | NULL |
| 347 | 2010-08-08 09:00:00 | 2 | 31567.0 |
| 346 | 2010-07-25 15:00:00 | 1 | 31485.5 |
| 345 | 2010-07-20 11:00:00 | 1 | 0.0 |
| 343 | 2010-07-21 00:00:00 | 1 | 31382.5 |
| 334 | 2010-06-07 14:00:00 | 2 | 30837.0 |
| 335 | 2010-06-24 18:00:00 | 2 | 30853.0 |
| 336 | 2010-07-01 15:00:00 | 2 | NULL |
| 337 | 2010-07-03 07:00:00 | 2 | 30948.0 |
| 338 | 2010-07-13 12:00:00 | 1 | NULL |
| 339 | 2010-07-13 19:00:00 | 1 | NULL |
| 340 | 2010-07-12 16:00:00 | 1 | NULL |
| 341 | 2010-07-11 21:00:00 | 1 | NULL |
| 349 | 2010-08-22 13:00:00 | 2 | 31682.0 |
| 350 | 2010-09-05 06:00:00 | 2 | 31724.0 |
| 351 | 2010-09-19 14:00:00 | 1 | 31772.4 |
+-----+---------------------+---------+---------+
Now i have to find out which user drove how many km..
it could be easy with
Select r.idUsers, SUM(r.km) AS KM_TOTAL FROM Reservations r GROUP BY r.idUsers
but the problem is the value in the km field is the value of the car right now, so basically i have to find out the difference between the id from the next row and the current row (id127.km - id124.km)
but i just started programming and i dont know how to solve this
The end results need be shown like this:
idUsers | TOTAL_KM
1 | (Total value of his km)
2 | (Total value of his km)
3 | (Total value of his km)
I hope you can help me
EDIT:
SELECT tt.iduser,sum(tt.next_km - tt.km) as TOTAL_KM
FROM (
SELECT t.iduser,t.km,
(SELECT s.km FROM Reservations s
WHERE s.since > t.since
ORDER BY s.since
LIMIT 1) as next_km
FROM Reservations t) tt
WHERE tt.next_km is not null
GROUP BY tt.iduser
Gives the output
idusers | TOTAL_KM
1 | 62141.9
2 | -59284.9
3 | 596.9
You can do it using a correlated query to fetch the next KM , and them sum the difference between them for each user :
SELECT tt.iduser,sum(tt.next_km - tt.km) as TOTAL_KM
FROM (
SELECT t.iduser,t.km,
(SELECT s.km FROM Reservations s
WHERE s.since > t.since
ORDER BY s.since
LIMIT 1) as next_km
FROM Reservations t) tt
WHERE tt.next_km is not null
AND tt.km is not null
GROUP BY tt.iduser
You didn't tag your RDBMS, if its SQL-Server use to TOP 1 , if its MySQL use the LIMIT 1 , if its something else, then tell me and I'll adjust it.
SELECT r.iduser,max(r.km)-min(r.km) as TOTAL_KM
FROM Reservations r
WHERE r.km is not null
GROUP BY r.iduser
i need to make a selection of all the values of the same order_ID, where the difference between the first date and the last is equal or less than 7, but I can't figure out how I should do this, could any one give me some help how I should do this?
DB layout:
+---------------+---------------------+
| order_ID | date |
+---------------+---------------------+
| 1 | 2012-01-21 09:15:00 |
| 1 | 2012-01-21 09:15:00 |
| 2 | 2012-01-21 14:15:00 |
| 3 | 2012-01-22 10:05:00 |
| 3 | 2012-01-22 10:05:00 |
| 4 | 2012-01-22 14:25:00 |
| 5 | 2012-01-25 11:05:00 |
| 6 | 2012-01-27 16:10:00 |
| 6 | 2012-01-27 16:10:00 |
| 7 | 2012-01-27 16:10:00 |
| 8 | 2012-01-28 15:55:00 |
| 9 | 2012-01-28 16:40:00 |
| 10 | 2012-01-28 17:35:00 |
| 10 | 2012-01-28 17:35:00 |
| 10 | 2012-02-03 09:35:00 |
| 12 | 2012-02-03 10:15:00 |
| 13 | 2012-02-05 13:25:00 |
| 14 | 2012-02-05 13:45:00 |
| 15 | 2012-02-05 14:10:00 |
| 15 | 2012-02-05 14:10:00 |
| 16 | 2012-02-07 15:45:00 |
| 17 | 2012-02-11 11:50:00 |
| 18 | 2012-02-11 12:45:00 |
| 19 | 2012-02-14 09:10:00 |
| 19 | 2012-02-16 13:05:00 |
| 19 | 2012-02-16 13:05:00 |
| 20 | 2012-02-17 09:40:00 |
| 21 | 2012-02-19 14:10:00 |
| 21 | NULL |
| 22 | 2012-02-25 10:20:00 |
| 23 | 2012-02-25 11:05:00 |
| 24 | 2012-02-25 13:35:00 |
| 25 | 2012-02-27 17:10:00 |
| 26 | 2012-03-03 09:40:00 |
| 27 | 2012-03-05 10:45:00 |
| 28 | NULL |
| 29 | NULL |
| 29 | NULL |
| 29 | NULL |
| 30 | NULL |
| 30 | NULL |
+---------------+---------------------+
You'll need to decide how you want to handle nulls (coalesce to the maximum or minimum date value?), but this should give you a basic structure for your query.
select order_id
from (
select order_id, min(date) as mindate, max(date) as maxdate
from tbl
group by order_id) t
where datediff(maxdate,mindate) <= 7