I need to use the Lead function on Datastage with the column timestamp, but when I need to put the next column substriting-10 minutes, if someone did it before I tried, and I had also, that can't put strings on the timestamp.
How can I solve this problem?
Input
Id | date. |
1 | 01/04/2016 13:45:25|
2 | 10/04/2016 01:25:36|
3 | 26/10/2017 22:35:13|
Output
Id| date. | Befor. |
1 | 01/04/2016 13:45:25 | 10/04/2016 01:15:36|
2 | 10/04/2016 01:25:36 | 26/10/2017 22:35:13|
3 | 26/10/2017 22:35:13 |null |
Related
I'm trying to fill a table with data to test a system.
I have two tables
User
+----+----------+
| id | name |
+----+----------+
| 1 | Majikaja |
| 2 | User 2 |
| 3 | Markus |
+----+----------+
Goal
+----+----------+---------+
| id | goal | user_id |
+----+----------+---------+
I want to insert into goal one record for every user only using their IDs (they have to exists) and some fixed or random value.
I was thinking in something like this:
INSERT INTO Goal (goal, user_id) values ('Fixed value', select u.id from user u)
So it will generate:
Goal
+----+-------------+---------+
| id | goal | user_id |
+----+-------------+---------+
| 1 | Fixed value | 1 |
| 2 | Fixed value | 2 |
| 3 | Fixed value | 3 |
+----+-------------+---------+
I could just write a simple PHP script to achieve it but I wonder if is it possible to do using raw SQL only.
I have the following table that I have loaded in Tableau (It has only one column CreatedOnDate)
+-----------------+
| CreatedOnDate |
+-----------------+
| 1/1/2016 |
| 1/2/2016 |
| 1/3/2016 |
| 1/4/2016 |
| 1/5/2016 |
| 1/6/2016 |
| 1/7/2016 |
| 1/8/2016 |
| 1/9/2016 |
| 1/10/2016 |
| 1/11/2016 |
| 1/12/2016 |
| 1/13/2016 |
| 1/14/2016 |
+-----------------+
I want to be able to find the maximum date in the table, compare it with every date in the table and get the difference in days. For the above table, the maximum date in table is 1/14/2016. Every date is compared to 1/14/2016 to find the difference.
Expected Output
+-----------------+------------+
| CreatedOnDate | Difference |
+-----------------+------------+
| 1/1/2016 | 13 |
| 1/2/2016 | 12 |
| 1/3/2016 | 11 |
| 1/4/2016 | 10 |
| 1/5/2016 | 9 |
| 1/6/2016 | 8 |
| 1/7/2016 | 7 |
| 1/8/2016 | 6 |
| 1/9/2016 | 5 |
| 1/10/2016 | 4 |
| 1/11/2016 | 3 |
| 1/12/2016 | 2 |
| 1/13/2016 | 1 |
| 1/14/2016 | 0 |
+-----------------+------------+
My goal is to create this Difference calculated field. I am struggling to find a way to do this using DATEDIFF.
And help would be appreciated!!
woodhead92, this approach would work, but means you have to use table calculations. Much more flexible approach (available since v8) is Level of Details expressions:
First, define a MAX date for the whole dataset with this calculated field called MaxDate LOD:
{FIXED : MAX(CreatedOnDate) }
This will always calculate the maximum date on table (will overwrite filters as well, if you need to reflect them, make sure you add them to context.
Then you can use pretty much the same calculated field, but no need for ATTR or Table Calculations:
DATEDIFF('day', [CreatedOnDate], [MaxDate LOD])
Hope this helps!
Trying to scale this down so the answer is simple. I can probably extrapolate the answers here to apply to a bigger data set.
Given the following table:
+------+-----+
| name | age |
+------+-----+
| a | 5 |
| b | 7 |
| c | 8 |
| d | 8 |
| e | 10 |
+------+-----+
I want to make a table that shows the count of people where their age is equal to or greater than x. For instance, the table about would produce:
+--------------+-------+
| at least age | count |
+--------------+-------+
| 5 | 5 |
| 6 | 4 |
| 7 | 4 |
| 8 | 3 |
| 9 | 1 |
| 10 | 1 |
+--------------+-------+
Is there a single query that can accomplish this task? Obviously, it is easy to write a simple function for it, but I'm hoping to be able to do this quickly with one query.
Thanks!
Yes, what you're looking for is a window function.
with cte_age_count as (
select age,
count(*) c_star
from people
group by age)
select age,
sum(c_star) over (order by age
range between unbounded preceding
and current row)
from cte_age_count
Not syntax checked ... let me know if it works!
Cheers!
I'm trying to get a chart working that shows me the count of work orders that are completed each day after work on a unit (serial number) starts. I'd like to be able to "shadow" multiple serial numbers on top of each other, normalized to a start date of '0'.
Currently I have columns in my data set:
Work order number (0..999), repeats for each serial number
Serial number (0..999)
Work order start date (Datetime)
Work order end date (Datetime)
Say for instance that a new serial number starts each day, contains 5 work orders, and requires 5 days to complete (there are 5 units in WIP at any given time).
The data might look like (dates shown as ints):
| Work order number | Serial number | Work order start date | Work order end date |
| ----------------- | ------------- | --------------------- | ------------------- |
| 1 | 1 | 1 | 2 |
| 2 | 1 | 1 | 3 |
| 3 | 1 | 2 | 4 |
| 4 | 1 | 3 | 5 |
| 5 | 1 | 4 | 5 |
| 1 | 2 | 2 | 3 |
| 2 | 2 | 2 | 4 |
| 3 | 2 | 3 | 5 |
| 4 | 2 | 4 | 6 |
| 5 | 2 | 5 | 6 |
I'm assuming I'll need a calculated column that would perhaps go something like:
[Work order end days since start] =
[Work order end date] - MIN(
IF(*serial number matches current*, [Work order start date], NULL)
)
I (clearly) have no idea how to actually create such a calculated field in Tableau.
The values in the column (same order as the data above) should be:
| Work order end days since start |
| ------------------------------- |
| 1 |
| 2 |
| 3 |
| 4 |
| 4 |
| 1 |
| 2 |
| 3 |
| 4 |
| 4 |
Any guidance or help? Happy to clarify anything as well. Many thanks! Cheers!
You will have better results with this kind of data if you reshape it to have a single date column and add a type column indicating whether the current row describes the start or completion of a workorder.
| Work order number | Serial number | date | type |
Think of each row representing a state change, not a work order.
Open work orders on a particular date would be those that have a start record prior to that date, but don't have a completion record prior to that date. If you define a calculated field as +1 if type = New and -1 if type = Completion, then you can use a running total of that field to view the number of open work orders over time.
I have a spreadsheet with column A which holds a timestamp and updates daily. Column B holds a value. Like the following:
+--------------------+---------+
| 11/24/2012 1:14:21 | $487.20 |
| 11/25/2012 1:14:03 | $487.20 |
| 11/26/2012 1:14:14 | $487.20 |
| 11/27/2012 1:14:05 | $487.20 |
| 11/28/2012 1:13:56 | $487.20 |
| 11/29/2012 1:13:57 | $487.20 |
| 11/30/2012 1:13:53 | $487.20 |
| 12/1/2012 1:13:54 | $492.60 |
+--------------------+---------+
What I am trying to do is get the average of the last 7, 14, 30 days.
I been playing with GoogleClock() function in order to filter the dates in column A but I can't seem to find the way to subtract TODAY - 7 days. I suspect FILTER will also help, but I am a little bit lost.
There are a few ways to go about this; one way is to return an array of values with a QUERY function (this assumes a header row in row 1, and you want the last 7 dates):
=QUERY(A2:B;"select B order by A desc limit 7";0)
and you can wrap this in whatever aggregation function you like:
=AVERAGE(QUERY(A2:B;"select B order by A desc limit 7";0))