I need convert columns to rows in Teradata without TD_UNPIVOT. My table
ID |Code_1 | Code_2 | Code_3 | Code_4|
1 |1000 | 2000 | 3000 | 4000 |
1 |1000 | 2000 | 3000 | NULL |
1 |1000 | 2000 | NULL | NULL |
1 |1000 | NULL | NULL | NULL |
I need to convert Code_1, Code_2, Code_3, Code_4 to 2 columns: first column will have all Code_n (without NULL), second one will have Level of Code:
ID | Code_n | Level_of_Code
1 | 4000 | 4
1 | 3000 | 3
1 | 2000 | 2
1 | 1000 | 1
It means, than I should know when Code has NULL (in which level Code_1, Code_2, Code_3 or Code_4 and after that convert it to columns with numbers of max level where I have not NULL).
Please help me.
Thank you
You can produce rows by using multiple select statements and doing a union all to concatenate them together.
Select id, code_1 as "code_n", 1 as "level_of_code" from your table
Union all
Select id, code_2,2
Union all
Select id, code_3,3
Union all
Select id, code_4,4;
Related
I have a database that I don't control the source of directly and results in errant '0' entries which mess up generated graphs with these drops to zero. I am able to manipulate the data after the fact and update that database.
It is acceptable that the last known good value can be used instead and so I am trying to make a general query that will remove all the zeros and populate it with the last known value.
Luckily, every entry includes the ID of the last entry and so it is a matter of simply looking back and grabbing it.
I have got very close to a final answer, but instead of updating with the last good value, it just uses the first value over and over again.
dummy data
CREATE TABLE tbl(id INT,r INT,oid INT);
INSERT INTO tbl VALUES(1,10,0);
INSERT INTO tbl VALUES(2,20,1);
INSERT INTO tbl VALUES(3,0,2);
INSERT INTO tbl VALUES(4,40,3);
INSERT INTO tbl VALUES(5,50,4);
INSERT INTO tbl VALUES(6,0,5);
INSERT INTO tbl VALUES(7,70,6);
INSERT INTO tbl VALUES(8,80,7);
SELECT * FROM tbl;
OUTPUT:
| id| r |oid|
|---|----|---|
| 1 | 10 | 0 |
| 2 | 20 | 1 |
| 3 | 0 | 2 | ** NEEDS FIXING
| 4 | 40 | 3 |
| 5 | 50 | 4 |
| 6 | 0 | 5 | ** NEEDS UPDATE
| 7 | 70 | 6 |
| 8 | 80 | 7 |
I have worked several queries to get results around what I am after:
All zero entries:
SELECT * FROM tbl WHERE r = 0;
OUTPUT:
| id | r | oid |
|----|----|-----|
| 3 | 0 | 2 |
| 6 | 0 | 5 |
Output only the those rows with the preceding good row
SELECT * FROM tbl WHERE A in (
SELECT id FROM tbl WHERE r = 0
UNION
SELECT oid FROM tbl WHERE r = 0
)
OUTPUT:
| id| r |oid|
|---|----|---|
| 2 | 20 | 1 |
| 3 | 0 | 2 |
| 5 | 50 | 4 |
| 6 | 0 | 5 |
Almost works
This is as close as I have got, it does change all the zero's, but it changes them all to the value of the first lookup
UPDATE tbl
SET r = (SELECT r
FROM tbl
WHERE id in (SELECT oid
FROM tbl
WHERE r = 0)
) WHERE r = 0 ;
OUTPUT:
| id| r |oid|
|---|----|---|
| 1 | 10 | 0 |
| 2 | 20 | 1 |
| 3 | 20 | 2 | ** GOOD
| 4 | 40 | 3 |
| 5 | 50 | 4 |
| 6 | 20 | 5 | ** BAD, should be 50
| 7 | 70 | 6 |
| 8 | 80 | 7 |
If it helps, I created this fiddle here that I've been playing with:
http://sqlfiddle.com/#!5/8afff/1
For this sample data all you have to do is use the correct correlated subquery that returns the value of r from the row with id equal to the current oid in the WHERE clause:
UPDATE tbl AS t
SET r = (SELECT tt.r FROM tbl tt WHERE tt.id = t.oid)
WHERE t.r = 0;
See the demo.
I have the following table in an sqlite database
+----+-------------+-------+
| ID | Week Number | Count |
+----+-------------+-------+
| 1 | 1 | 31 |
| 2 | 2 | 16 |
| 3 | 3 | 73 |
| 4 | 4 | 59 |
| 5 | 5 | 44 |
| 6 | 6 | 73 |
+----+-------------+-------+
I want to get the following table out. Where I get this weeks sales as one column and then the next column will be last weeks sales.
+-------------+-----------+-----------+
| Week Number | This_Week | Last_Week |
+-------------+-----------+-----------+
| 1 | 31 | null |
| 2 | 16 | 31 |
| 3 | 73 | 16 |
| 4 | 59 | 73 |
| 5 | 44 | 59 |
| 6 | 73 | 44 |
+-------------+-----------+-----------+
This is the select statement i was going to use:
select
id, week_number, count,
(select count from tempTable
where week_number = (week_number-1))
from
tempTable;
You are comparing values in two different rows. When you are just writing week_number, the database does not know which one you mean.
To refer to a column in a specific table, you have to prefix it with the table name: tempTable.week_number.
And if both tables have the same name, you have to rename at least one of them:
SELECT id,
week_number,
count AS This_Week,
(SELECT count
FROM tempTable AS T2
WHERE T2.week_number = tempTable.week_number - 1
) AS Last_Week
FROM tempTable;
In case of you want to take a query upon a same table twice, you have to put aliases on the original one and its replicated one to differentiate them
select a.week_number,a.count this_week,
(select b.count from tempTable b
where b.week_number=(a.week_number-1)) last_week
from tempTable a;
I am trying to update Data1's ID to Record2's ID when:
Record1's and Record2's Name are the same, and
Weight is greater in Record2.
Record1
| ID | Weight | Name |
|----|--------|------|
| 1 | 10 | a |
| 2 | 10 | b |
| 3 | 10 | c |
Record2
| ID | Weight | Name |
|----|--------|------|
| 4 | 20 | a |
| 5 | 20 | b |
| 6 | 20 | c |
Data1
| ID | Weight |
|----|--------|
| 4 | 40 |
| 5 | 40 |
I have tried the following SQLite query:
update data1
set id =
(select record2.id
from record2,record1
where record1.name=record2.name
and record1.weight<record2.weight)
where id in
(select record1.id
from record1, record2
where record1.name=record2.name
and record1.weight<record2.weight)
Using the above query Data1's id is updated to 4 for all records.
NOTE: Record1's ID is the foreign key for Data1.
For the given data set the following seems to serve the cause:
update data1
set id =
(select record2.id
from record2,record1
where
data1.id = record1.id
and record1.name=record2.name
and record1.weight<record2.weight)
where id in
(select record1.id
from record1, record2
where
record1.id in (select id from data1)
and record1.name=record2.name
and record1.weight<record2.weight)
;
See it in action: SQL Fiddle.
Please comment if and as this requires adjustment / further detail.
I want to use SELECT * from multiple tables table1 and table2 to get the output table which is nothing but table2 data appended to table1. How do I construct the SELECT * FROM statement ?
Table1:
id model datetime driver distance
---|-----|------------|--------|---------
1 | S | 04/03/2009 | john | 399
2 | X | 04/03/2009 | juliet | 244
3 | 3 | 04/03/2009 | borat | 555
Table2:
id model datetime driver distance
---|-----|------------|--------|---------
4 | 3 | 03/03/2009 | john | 300
5 | X | 03/03/2009 | juliet | 200
Desired output:
model datetime driver distance
-----|------------|--------|---------
S | 04/03/2009 | john | 399
X | 04/03/2009 | juliet | 244
3 | 04/03/2009 | borat | 555
3 | 03/03/2009 | john | 300
X | 03/03/2009 | juliet | 200
Try this out this might help you
SELECT table1.model, table1.datetime, table1.driver, table1.distance FROM table1
UNION ALL SELECT table2.model, table2.datetime, table2.driver, table2.distance FROM table2;
union statement get slow for fetching the large data from the db, you can use join here,
select * from table0 left join table2 on table0.b = table2.b where table2.col is not null
I'm trying to generate a summary from a table using SQLite as below.
I need to aggregate 1) number of times each model was driven, 2) total distance driven & 3) get distinct values for driver col & count the number of times each driver has driven the particular model - GROUP BY modelwith COUNT(model) & SUM(distance) will help with 1 & 2 - `I need help with the last part #3 , what is the right approach to find number of occurrences for each distinct values of a column and add them as new columns for each model ?
My table is:
id model datetime driver distance
---|-----|------------|--------|---------
1 | S | 04/03/2009 | john | 399
2 | X | 04/03/2009 | juliet | 244
3 | 3 | 04/03/2009 | borat | 555
4 | 3 | 03/03/2009 | john | 300
5 | X | 03/03/2009 | juliet | 200
6 | X | 03/03/2009 | borat | 500
7 | S | 24/12/2008 | borat | 600
8 | X | 01/01/2009 | borat | 700
Result would be
id model| drives distance john juliet borat
---|-----|--------|---------|------|------ |------
1 | S | 2 | 999 | 1 | 0 | 1
2 | X | 4 | 1644 | 0 | 2 | 2
3 | 3 | 2 | 855 | 1 | 0 | 1
OK... this time I got it!
select new_table.model, count (new_table.model) as drives, sum (new_table.distance) as distance,
sum(case when driver = 'john' then 1 else 0 end) as john,
sum(case when driver = 'juliet' then 1 else 0 end) as juliet,
sum(case when driver = 'borat' then 1 else 0 end) as borat
from new_table
group by model
It's not 100%, but this should get you most of the way there.
CREATE TABLE DBO.TEST_TABLE (ID INT,MODEL CHAR(1),DATETIME VARCHAR(255),DRIVER VARCHAR(255),DISTANCE INT)
INSERT INTO DBO.TEST_TABLE
VALUES
(1,'S','04/03/2009','JOHN',399)
,(2,'X','04/03/2009','JULIET',244)
,(3,'3','04/03/2009','BORAT',555)
,(4,'3','03/03/2009','JOHN',300)
,(5,'X','03/03/2009','JULIET',200)
,(6,'X','03/03/2009','BORAT',500)
,(7,'S','24/12/2008','BORAT',600)
,(8,'X','01/01/2009','BORAT',700)
Declare #Query_ nvarchar(MAX)
Declare #Cols_For_Pivot_ nvarchar(MAX)
SELECT #Cols_For_Pivot_= COALESCE(#Cols_For_Pivot_ + ',','') + QUOTENAME(DRIVER)
FROM (SELECT DISTINCT DRIVER FROM DBO.TEST_TABLE) AS PivotTable
IF OBJECT_ID('tempdb..#TEMP') IS NOT NULL DROP TABLE #TEMP
SET #Query_ =
N'SELECT DISTINCT
MODEL
,COUNT(DATETIME) OVER(PARTITION BY MODEL) AS DRIVES
,SUM(DISTANCE) OVER(PARTITION BY MODEL) AS DISTANCE
, ' + #Cols_For_Pivot_ + '
INTO #TEMP
FROM DBO.TEST_TABLE
PIVOT(COUNT(DRIVER)
FOR DRIVER IN (' + #Cols_For_Pivot_ + ')) AS P'
EXEC sp_executesql #Query_