This is probably a simple question that for some reason I just cannot see the answer. Here is sample data:
+----+----------+---------------------------+
| ID | F_Key_ID | Desc_Text |
+----+----------+---------------------------+
| 1 | 15 | This is an example |
| 2 | 15 | that I wished worked |
| 3 | 15 | correctly |
| 4 | 21 | Unique entry |
| 5 | 18 | The Eagles are |
| 6 | 18 | the best football team. |
+----+----------+---------------------------+
Please excuse the noob table. How awful is that?!
What I'd like is some SQL that takes the text common to each F_Key_ID and concatenates it together like this:
+----------+---------------------------------------------------+
| F_Key_ID | Concat_Text |
+----------+---------------------------------------------------+
| 15 | This is an example that I wished worked correctly |
| 21 | Unique entry |
| 18 | The Eagles are the best football team. |
+----------+---------------------------------------------------+
Thanks in advance!
So after taking Gordon's advice and visiting another page, I found this answer for oracle:
SELECT F_Key_ID,
replace(wm_concat(Desc_Text), ',' , ' ') AS Concat_Text
FROM databaseName
GROUP BY F_Key_ID;
Related
I'm designing a database for a workout tracker app. Each user should be able to track multiple workouts (routines). A workout can have multiple exercises an exercise can be used in many workouts. Each exercise will have a specific track type (weight and reps, distance and time, only reps).
My tables so far:
| User | |
|------|-------|
| id | name |
| 1 | Ilka |
| 2 | James |
| Exercise | | |
|----------|---------------------|---------------|
| id | name | track_type_id |
| 1 | Barbell Bench Press | 1 |
| 2 | Squats | 1 |
| 3 | Deadlifts | 1 |
| 4 | Rowing Machine | 3 |
| Workout | | |
|---------|---------|-----------------|
| id | user_id | name |
| 1 | 1 | Chest & Triceps |
| 2 | 1 | Legs |
| Workout_Exerice (Junction table) | |
|-----------------|------------------|------------|
| id | exersice_id | workout_id |
| 1 | 1 | 1 |
| 2 | 2 | 1 |
| 3 | 4 | 1 |
| Workout_Sets | | | |
|--------------|---------------------|------|--------|
| id | workout_exersice_id | reps | weight |
| 1 | 1 | 12 | 120 |
| 2 | 1 | 10 | 120 |
| 3 | 1 | 8 | 120 |
| 4 | 2 | 10 | 220 |
| 5 | 3 | null | null |
| TrackType | |
|-----------|-----------------|
| id | name |
| 1 | Weight and Reps |
| 2 | Reps Only |
| 3 | Distance Time |
My issue is how to incorporate the TrackType table for each workout set, my first option was to create columns in the Workout_Sets table for each tracking type (weight and reps, distance and time, only reps) but that means for many rows I will have many nulls. Another option I thought was to use an EAV type table but I'm not sure. Also do you think my design is efficient (Over-normalization)?
I would say that the most efficient way is to have nulls in your table. The alternative would require you to split many of the category's into separate tables. Also a recommendation is that you start factoring a User ID table into your database
Your description states that “Each exercise will have a specific track type” suggesting a one-to-one relationship between Exercise and TrackType, and that the relationship is unchanging. As such, the exercise table should have a TrackType column.
I suspect, however, that your problem description may be lacking specificity, making it difficult to give you sound advice. For instance, if the TrackType can vary for any given exercise, your TrackType column may belong on the Workout_Sets table. If the relationship between TrackType and Exercise/Workout_Sets is many-to-many, then you will need another junction table.
Your question regarding “over-normalization” depends upon many factors that are specific to your solution. In general, I would say no - the degree of normalization appears to be appropriate.
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 :)
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.
I'm trying to figure out how to put together a SQL statement that will let me find an end-item in our database based on its bill of materials. I guess you could say this is like a reverse BOM lookup question.
My table structure is pretty simple.
-End-item table
-Component table
-Linking table to tie together multiple components to an end item record.
The data I have is just the component list, and I want to find the end item. Since every bill of material is unique it has to match the bill of materials perfectly ie exact number of components and exact matches to the component SKU numbers. In some cases 2 end-items might use all the same components, but one of them just uses an extra part or two that makes the end-item SKU number different, so it has to account for that. That is, again, it has to match the BOM perfectly.
If not an outright answer, could someone at least steer me on the correct path to finding one?
------ UPDATE ----------
Table structure would be something like this.
ManufacturedPart
,--------------------,
| ID | PART_NUM |
|--------------------|
| 1 | V3175-01 |
| 2 | V3367-01 |
| 3 | V3988-01 |
| 4 | V3175-CV |
`--------------------`
Component
,--------------------,
| ID | COMP_NUM |
|--------------------|
| 1 | V3175 |
| 2 | V3367 |
| 3 | V3369 |
| 4 | V3114 |
| 5 | V3370 |
| 6 | V4060 |
| 7 | V3550 |
| 8 | V3988 |
`--------------------`
ManufacturedComponent
,-------------------------------------------------,
| ID | MANUFACTURED_PART_ID | COMPONENT_ID |
|-------------------------------------------------|
| 1 | 1 | 1 |
| 2 | 1 | 4 |
| 3 | 1 | 6 |
| 4 | 2 | 2 |
| 5 | 2 | 3 |
| 6 | 2 | 5 |
| 7 | 2 | 7 |
| 8 | 3 | 1 |
| 9 | 3 | 8 |
| 10 | 4 | 1 |
| 11 | 4 | 4 |
`-------------------------------------------------`
Assuming I have only the COMP_NUMs (component numbers) to search with I want to match back to the ManufacturedPart that contains that exact list of components.
So some examples: If I have components V3175, V3114, and V4060, it should match back to V3175-01 manufactured part. But, if I only have components V3175 and V3114 it should match back to V3175-CV manufactured part. If I have components V3367, V3369, V3370, and V3550 it should match back to manufactured part V3367-01.
I have no SQL written at all yet as I'm unsure of how to break the problem down..
I seem to have a workflow problem with Open Refine (Google Refine 2.5 [r2407]) to do sophisticated duplicate row cleaning. All I have found so far is how to delete duplicate rows based on a single column.
My aim is to delete duplicate rows based on multiple columns, at best, in a specific hierarchy.
Example
Given the following dummy data in Refine
+----+---------+---------+--------+------------+------+-----------------------------------+
| id | timeAgo | title | author | date | val1 | [After Refine, keep Record] |
+----+---------+---------+--------+------------+------+-----------------------------------+
| 1 | 10 | Faust | Mr. A | 2014-01-15 | 10 | ->B, older entry |
| 2 | 11 | Faust | Mr. A | 2014-01-21 | 10 | A (because of Date) |
| 3 | 8 | Faust | Mr. A | 2014-01-15 | 10 | B |
| 4 | 8 | RedHead | Mr. B | 2014-01-21 | 34 | ->D, older entry |
| 5 | 7 | RedHead | Mr. B | 2014-01-21 | 34 | ->D, same time Ago, but lower ID |
| 6 | 7 | RedHead | Mr. A | 2014-01-01 | 13 | C (because of author, date, val1) |
| 7 | 7 | RedHead | Mr. B | 2014-01-21 | 34 | D |
+----+---------+---------+--------+------------+------+-----------------------------------+
I want to kill the duplicate rows based on following logic. If
title && auther && date && val1 are the same, than
keep the newest (least timeAgo) row, if there are multiple, than
keep the one with the highest id
The Result would be:
+---------+----+---------+---------+--------+------------+------+
| Refined | id | timeAgo | title | author | date | val1 |
+---------+----+---------+---------+--------+------------+------+
| A | 2 | 10 | Faust | Mr. A | 2014-01-21 | 10 |
| B | 3 | 8 | Faust | Mr. A | 2014-01-15 | 10 |
| C | 6 | 7 | RedHead | Mr. A | 2014-01-01 | 13 |
| D | 7 | 7 | RedHead | Mr. B | 2014-01-21 | 34 |
+---------+----+---------+---------+--------+------------+------+
Easy Approach?
If there is no other solution, I thankfully take a scripting/GREL one.
But could it be done by Refines famous workflow "recording" to achieve above logic, so it could be extracted and applied to other same format datasets?
My motivation behind this is to enable employees to work more thoughtfully with data (beyond excel) but without confronting them right away with a full blown scripting language.
That sounds like a straightforward sorting problem.
Sort the records by title, author, time ago, and ID
Re-order rows permanently (IMPORTANT - it won't work if you forget this step)
Blank down on Title & Author
Move those two columns to the two left most positions
Join multivalued cells on remaining columns
Transform all columns from step 5 using value.split(',')[0] to extract the first value (which should be the value for the record you want if you sorted them in the right order