How to upend query to a table as new column in Access? - sql

As a follow up to my previous question I wanted to go further with it and do other calculations based on my Diff.
Sample table:
+-------+-------+--------+-------------------+------+------+------+
| ID | RowID | User | Godzina_transakcji| Diff | Diff2| Diff3|
+-------+-------+--------+-------------------+------+------+------+
| 3 | 1 | AAA | 14:23:03 | | | |
| 8 | 2 | AAA | 14:23:57 | | | |
| 11 | 3 | AAA | 14:25:03 | | | |
| 2 | 4 | BBB | 03:37:23 | | | |
| 893 | 5 | BBB | 03:39:21 | | | |
| 5 | 6 | BBB | 05:23:11 | | | |
+-------+-------+---------+------------------+------+------+------+
Working code:
SELECT
tblTemp2.RowID,
tblTemp2.User,
tblTemp2.Godzina_transakcji,
Format(( Select TimeValue(T.Godzina_transakcji)
From tblTemp2 As T
Where tblTemp2.RowID = T.RowID + 1 And tblTemp2.User = T.User ) - TimeValue([Godzina_transakcji]), "hh:nn:ss") As Diff
FROM
tblTemp2;
So I thought the best way will be append my tblTemp with Diff, and here is where it started to hit the fan.
When I tried to change query to "Make table" my Access freezes for up to 10min. When I try to use Update query I get error about "Operation must use an updatable query.".
So my question is: what is best way to do this having in mind that next fields will be simple ifs based on calculated Diff?
For example idea about Diff2 is to check if value of hours in Diff is bigger than 4.
Edit: Hope, now it's more precise and goes along with rules :)

Related

Transform table from sequential identifier to real with attributes

I changed a but the context, but it's basically the same issue.
Imagine we are in a never-ending tunnel, shaped like a circle. We split every section of the circle, from 1 to 10 and we'll call each section slot (sl). There are 2 groups (gr) of living things walking in the tunnel. Each group has 2 bands, where each has a name and global hitpoints (hp). Every group is walking forward (although the bands might change order). If a group is at slot #10 and moves forward, he will be at slot #1. We snapshot their information every day. All the data gathered is stored in a table with this structure:
+----------+----------------+------------------+----------------+----------------+------------------+----------------+----------------+------------------+----------------+----------------+------------------+--------------+--+
| day_id | | gr_1_sl_1_id | | gr_1_sl_1_name | | gr_1_sl_1_hp | | gr_1_sl_2_id | | gr_1_sl_2_name | | gr_1_sl_2_hp | | gr_2_sl_1_id | | gr_2_sl_1_name | | gr_2_sl_1_hp | | gr_2_sl_2_id | | gr_2_sl_2_name | | gr_2_sl_2_hp | |
+----------+----------------+------------------+----------------+----------------+------------------+----------------+----------------+------------------+----------------+----------------+------------------+--------------+--+
| 1 | 3 | orc | 100 | 4 | goblin | 10 | 10 | human | 50 | 1 | dwarf | 25 | |
| 2 | 6 | goblin | 7 | 7 | orc | 76 | 2 | human | 60 | 3 | dwarf | 28 | |
+----------+----------------+------------------+----------------+----------------+------------------+----------------+----------------+------------------+----------------+----------------+------------------+--------------+--+
As you can see, the columns are structured in a sequential way, while the data shows what is the actual value. What I want is to have the information shaped this way instead:
+---------+-------+-------+-----------+---------+
| id_game | gr_id | sl_id | band_name | band_hp |
+---------+-------+-------+-----------+---------+
| 1 | 1 | 3 | orc | 100 |
| 1 | 1 | 4 | goblin | 10 |
| 1 | 2 | 10 | human | 50 |
| 1 | 2 | 1 | dwarf | 25 |
| 2 | 1 | 6 | goblin | 7 |
| 2 | 1 | 7 | orc | 76 |
| 2 | 2 | 2 | human | 60 |
| 2 | 2 | 3 | dwarf | 28 |
+---------+-------+-------+-----------+---------+
I have this information in power bi, although I can create views in sql server if need be. I have tried many things, closest thing I got was unpivoting and parsing the original columns to get day_id, gr_id, sl_id, attributes and values. In attributes and values, it's basically name and hp with their corresponding value (I changed hp into string), but then I'm stocked, I'm not sure what to do next.
Anyone has any ideas ? Keep in mind that I oversimplified the problem; there are more groups, more slots, more bands and more statistics (i.e. attack and defense rating, etc.)
You seem to want to unpivot the table. In SQL Server, I recommend using apply:
select t.day_id, v.*
form t cross apply
(values (1, 1, gr_1_sl_1_id, gr_1_sl_1_name, gr_1_sl_1_hp),
(1, 2, gr_1_sl_2_id, gr_1_sl_2_name, gr_1_sl_2_hp),
(2, 1, gr_2_sl_1_id, gr_1_sl_1_name, gr_2_sl_1_hp),
(2, 2, gr_2_sl_2_id, gr_1_sl_2_name, gr_2_sl_2_hp)
) v(id_game, gr_id, sl_id, band_name, band_hp);
In other databases, you can do something similar with union all.

Access - retrieving status and date puzzle

In Access 2016, I have the following tables:
Table1
------
| ID | FK_ID | Status_date |Status_ID |
---------------------------------------
| 1 | 11 | d1 | 1 |
| 2 | 11 | d2 | 2 |
| 3 | 22 | d3 | 3 |
| 4 | 22 | d4 | 3 |
LookupTable1
------------
| OBJ_ID | Status |
-------------------
| 1 | A |
| 2 | B |
| 3 | C |
And I would like to produce the following result. This will ultimately be exported to Excel.
xls report
==========
| FK_ID | Status_1_date | Status_2_date | Status_3_date | <-- these will be aliased
=========================================================
| 11 | d1 | d2 | |
| 22 | | | d4 |
The part of the puzzle I'm struggling with is that there seem to be at least these different ways to achieve this a) multiple Access queries b) a single Access query with in-line queries (possible?) c) VBA code d) in SQL Server itself e) other... What's the simplest way to create and maintain this, as the LookupTable1.Status values will change.
Looks like a simple CROSSTAB query:
TRANSFORM Max(Table1.Status_date) AS MaxOfStatus_date
SELECT Table1.FK_ID
FROM Table1
GROUP BY Table1.FK_ID
PIVOT Table1.Status_ID;
If you want the output to show the Status alias values, first JOIN the two tables then use the Status field as column header in CROSSTAB.

Showing data from another table if it exists

I am having a hard time trying to get the correct data out of my DB.
I have a couple of tables:
events_template laser_events
| id | something | | id | extid | added |
================== ===========================
| 1 | something | | 1 | 7 | added |
| 2 | something | | 2 | 4 | added |
| 3 | something | | 3 | 2 | added |
| 4 | something | | 4 | 1 | added |
| 5 | something | | 5 | 9 | added |
| 6 | something | | 6 | 3 | added |
| 7 | something |
| 8 | something |
| 9 | something |
| 10 | something |
| 11 | something |
| 12 | something |
| 13 | something |
| 14 | something |
What I am trying to do is get some output that will show me the results of both tables together linked by id and extid, but still show the results from events_template even if there isn't a matching laser_events row.
I've tried something like
SELECT
id,
extid
FROM
events_template,
laser_events
WHERE
events_template.id = laser_events.ext_id;
But that doesn't show me the events_template rows if there isn't a matching laser_events row.
Any help would be appreciated!
You have to use LEFT JOIN:
SELECT e.id, l.ext_id
FROM events_template e
LEFT JOIN laser_events l ON e.id = l.ext_id;

Selecting all rows in a master table and summing columns in multiple detail tables

I have a master table (Project List) along with several sub tables that are joined on one common field (RecNum). I need to get totals for all of the sub tables, by column and am not sure how to do it. This is a sample of the table design. There are more columns in each table (I need to pull * from "Project List") but I'm showing a sampling of the column names and values to get an idea of what to do.
Project List
| RecNum | Project Description |
| 6 | Sample description |
| 7 | Another sample |
WeekA
| RecNum | UserName | Day1Reg | Day1OT | Day2Reg | Day2OT | Day3Reg | Day3OT |
| 6 | JustMe | 1 | 2 | 3 | 4 | 5 | 6 |
| 6 | NotMe | 1 | 2 | 3 | 4 | 5 | 6 |
| 7 | JustMe | | | | | | |
| 7 | NotMe | | | | | | |
WeekB
| RecNum | UserName | Day1Reg | Day1OT | Day2Reg | Day2OT | Day3Reg | Day3OT |
| 6 | JustMe | 7 | 8 | 1 | 2 | 3 | 4 |
| 6 | NotMe | 7 | 8 | 1 | 2 | 3 | 4 |
| 7 | JustMe | | | | | | |
| 7 | NotMe | | | | | | |
So the first query should return the complete totals for both users, like this:
| RecNum | Project Description | sumReg | sumOT |
| 6 | Sample description | 40 | 52 |
| 7 | Another sample | 0 | 0 |
The second query should return the totals for just a specified user, (WHERE UserName = 'JustMe') like this:
| RecNum | Project Description | sumReg | sumOT |
| 6 | Sample description | 20 | 26 |
| 7 | Another sample | 0 | 0 |
Multiple parallel tables with the same structure is usually a sign of poor database design. The data should really be all in one table, with additional columns specifying the week.
You can, however, use union all to bring the data together. The following is an example of a query:
select pl.recNum, pl.ProjectDescription,
sum(Day1Reg + Day2Reg + Day3Reg) as reg,
sum(Day1OT + Day2OT + Day3OT) as ot
from ProjectList pl join
(select * from weekA union all
select * from weekB
) w
on pl.recNum = w.recNum
group by l.recNum, pl.ProjectDescription,;
In practice, you should use select * with union all. You should list the columns out explicitly. You can add appropraite where clauses or conditional aggregation to get the results you want in any particular case.

How to generate this report?

I'm trying to set up a report based on several tables.
I have a table Actual that looks like this:
+--------+------+
| status | date |
+--------+------+
| 5 | 7/10 |
| 8 | 7/9 |
| 8 | 7/11 |
| 5 | 7/18 |
+--------+------+
Table Targets looks like this:
+--------+-------------+--------+------------+
| status | weekEndDate | target | cumulative |
+--------+-------------+--------+------------+
| 5 | 7/12 | 4 | 45 |
| 5 | 7/19 | 5 | 50 |
| 8 | 7/12 | 4 | 45 |
| 8 | 7/19 | 5 | 50 |
+--------+-------------+--------+------------+
Grouping the Actual records by which Targets.weekEndDate they fall under, I have the following aggregate query GroupActual:
+-------------+------------+--------------+--------+------------+
| weekEndDate | status | weeklyTarget | actual | cumulative |
+-------------+------------+--------------+--------+------------+
| 7/12 | 5 | 4 | 1 | 45 |
| 7/12 | 8 | 4 | 2 | 41 |
| 7/19 | 5 | 5 | 1 | 50 |
| 7/19 | 8 | 4 | | 45 |
+-------------+------------+--------------+--------+------------+
I'm trying to create this report:
+--------+------------+------+------+
| status | category | 7/12 | 7/19 | ...etc for every weekEndDate entry in Targets
+--------+------------+------+------+
| 5 | actual | 1 | 1 |
| 5 | target | 4 | 5 |
| 5 | cumulative | 45 | 50 |
+--------+------------+------+------+
| 8 | actual | 2 | |
| 8 | target | 4 | 5 |
| 8 | cumulative | 45 | 50 |
+--------------+------+------+------+
I can use a crosstab query to make the date columns, but I'm not sure how to have rows for "actual", "target", and "cumulative". They aren't values in the same table, which means (I think) that a crosstab query won't be useful for this breakdown. Should I try to change GroupActual so that it puts the data in the shape I'm looking for? Kind of confused as to where to go next with this...
EDIT: I've made some headway on the crosstabs as per PowerUser's solution, but I'm having trouble with the one for Target. I modified the wizard's generated SQL in an attempt to get what I want but it's not working out. I used a version of GroupActual that only has the weekEndDate,status, and weeklyTarget columns; here's the SQL:
TRANSFORM weeklyTarget
SELECT status
FROM TargetStatus_forCrosstab_Target
GROUP BY status,weeklyTarget
PIVOT Format([weekEndDate],"Short Date");
You're almost there. The problem is that you can't do this all in a single crosstab. You need to make 3 crosstabs (one for 'actual', one for 'target', and one for 'cumulative'), then make a Union query to combine them all.
Additional Tip: In your individual crosstabs, add a Sort column. Your 'actual' crosstab will have a Sort value of 1, 'Target' will have a Sort value of 2, and 'Cumulative' will have 3. That way, when you union them together, you can get them all in the right order.