I have this tables:
TABLE_A
ID | ATTR_NAME | ATTR_ID | START_DATE
-------------------------------------
1 | XPTA | 12 | 01-10-2013
1 | XPTO | 167 | 01-10-2013
1 | XPTA | 13 | 04-12-2013
2 | XPTA | 12 | 03-09-2015
2 | XPTO | 6 | 05-08-2012
TABLE_B (just to help understand)
ATTR_NAME | ATTR_ID | DESCRIPTION
---------------------------------
XPTA | 12 | ASM5
XPTO | 167 | weird attr
XPTA | 13 | DBSO12
XPTO | 6 | gosh...
Is there a way to make a select return this?
ID | XPTA | XPTO | START_DATE
-----------------------------
1 | 12 | 167 | 01-10-2013
1 | 13 | | 04-12-2013
2 | 12 | | 03-09-2015
2 | | 6 | 05-08-2012
Basically, the COL1 represents an attribute and COL2 the id value of COL1 associated to the ID starting from START_DATE
Example: Resource Mike (ID) has a cost profile (COL1) of ASM5 (COL2) starting from 01-10-2013 (START_DATE)
The ideia is to group the attributes by date for each ID.
The only way I see I can do it e first do a select start_date distinct from TABLE_A and then for each date fetched do a select ID, COL1, COL2, :date_start from TABLE_A where START_DATE = :date_start and then somehow make COL1 values my columns and COL2 values my values.
Assuming I'm understanding your question correctly, you're looking for conditional aggregation, something you can do with max and case:
select id,
max(case when attr_name = 'XPTA' then attr_id end) xpta,
max(case when attr_name = 'XPTO' then attr_id end) xpto,
start_date
from table_a
group by id, start_date
Related
I'd like a "flat" representation of a table and a corresponding mapping table with key-value pairs, where the keys are used as columns in the result.
E.g. given I have a table with a one to manny relation like this:
Table Items(ID, Name)
| ID | Name |
|----|-------|
| 1 | Item1 |
| 2 | Other |
Table KeyValue(ID, Key, Value, ItemID[FK->Items])
| ID | Key | Value | ItemID[FK->Items] |
|----|------|--------|-------------------|
| 1 | key1 | value1 | 1 |
| 2 | key2 | value2 | 1 |
| 3 | key3 | value3 | 1 |
| 4 | key1 | valueX | 2 |
| 5 | key3 | valueY | 2 |
| 6 | key4 | valueZ | 2 |
how would I join/process the tables to get a table like this:
| ID | Name | key1 | key2 | key3 | key4 |
|----|-------|--------|--------|--------|--------|
| 1 | Item1 | value1 | value2 | value3 | NULL |
| 2 | Other | valueX | NULL | valueY | valueZ |
EDIT:
The keys would be variable irl.
In the real world I'm trying to implement a garden-database.
There I have a mapping table "dates" with important dates for the plants - e.g.
Table Dates(ID, Event, Date, PlantID[FK->Plants])
so if I add a Date with an event to a plant, and another plant has a date with the same event-name the event should be one column.
| Plant | planted | harvested | cut |
| Tree | 01/01/2018 | 01/09/2019| 02/09/2019 |
| Tree2 | 01/01/2017 | - | 02/09/2019 |
if I'd add a "harvested"-Date to Tree2 it should appear in column "harvested".
If I'd add a "newEvent"-Date to Tree2 there should be an additional column "newEvent" with NULL entry for Tree1.
…but I do not know yet, what possible events will be stored.
use conditional aggregation
select t1.id,name
max(case when t2.key='key1' then value end),
max(case when t2.key='key4' then value end),
max(case when t2.key='key2' then value end),
max(case when t2.key='key3' then value end)
from Items t1 join KeyValue t2 on t1.id=t2.ItemID
group by t1.id,name
select t1.ID, t1.Name,
max(case when t2.Kee = "key1" then t2.Value end) as key1,
max(case when t2.Kee = "key2" then t2.Value end) as key2,
max(case when t2.Kee = "key3" then t2.Value end) as key3,
max(case when t2.Kee = "key4" then t2.Value end) as key4
from Items t1
join KeyValue t2 on t1.ID = t2.ItemID
group by t1.ID, t1.Name
I have a table with old values (some null) and new values for various attributes, all inserted at different add times throughout the months. I'm trying to update a second table with records with business month end dates. Right now, these records only contain the most recent new values for all month end dates. The goal is to create historical data by updating the previous month end values with the old values from the first table. I am a beginner and was able to come up with a query to update on one object where there was one entry from the first table. Now I am trying to expand the query to include multiple objects, with possible, multiple old values within the same month. I tried to use "order by" (since I need to make updates for a month in ascending order so it gets the latest value) but read that doesn't work with update statements without a subquery. So I tried my hand at making a more complicated query, without success. I am getting the following error: single-row subquery returns more than one row. Thanks!
TableA:
| ID | TYPE | OLD_VALUE | NEW_VALUE | ADD_TIME|
-----------------------------------------------
| 1 | A | 2 | 3 | 1/11/2019 8:00:00am |
| 1 | B | 3 | 4 | 12/10/2018 8:00:00am|
| 1 | B | 4 | 5 | 12/11/2018 8:00:00am|
| 2 | A | 5 | 1 | 12/5/2018 08:00:00am|
| 2 | A | 1 | 2 | 12/5/2019 09:00:00am|
| 2 | A | 2 | 3 | 12/5/2019 10:00:00am|
| 2 | B | 1 | 2 | 12/5/2019 10:00:00am|
TableB
| ID | MONTH_END | TYPE_A | TYPE_B |
-----------------------------------
| 1 | 1/31/19 | 3 | 5 |
| 1 | 12/31/18 | 3 | 5 |
| 1 | 11/30/18 | 3 | 5 |
| 2 | 12/31/18 | 3 | 2 |
| 2 | 11/30/18 | 3 | 2 |
Desired Output for TableB
| ID | MONTH_END | TYPE_A | TYPE_B |
-----------------------------------
| 1 | 1/31/19 | 3 | 5 |
| 1 | 12/31/18 | 2 | 5 |
| 1 | 11/30/18 | 2 | 3 |
| 2 | 12/31/18 | 3 | 2 |
| 2 | 11/30/18 | 5 | 2 |
My Query for Type A (Which I plan to adapt for Type B and execute as well for the desired output)
update TableB B
set b.type_a =
(
with aa as
(
select id, nvl(old_value, new_value) typea, add_time
from TableA
where type = 'A'
order by id, add_time ascending
)
select typea
from aa
where aa.id = b.id
and b.month_end <= aa.add_tm
)
where exists
(
with aa as
(
select id, nvl(old_value, new_value) typea, add_time
from TableA
where type = 'A'
order by id, add_time ascending
)
select typea
from aa
where aa.id = b.id
and b.month_end <= aa.add_tm
)
Kudo's for giving example input data and desired output. I found your question a bit confusing so let me rephrase to "Provide the last type a value from table a that is in the same month as the month end.
By matching on type and date of entry, we can get your answer. The "ROWNUM=1" is to limit result set to a single entry in case there is more than one row with the same add_time. This SQL is still a mess, maybe someone else can come up with a better one.
UPDATE tableb b
SET b.typea =
(SELECT old_value
FROM tablea a
WHERE LAST_DAY( TRUNC( a.add_time ) ) = b.month_end
AND TYPE = 'A'
AND add_time =
(SELECT MAX( add_time )
FROM tablea
WHERE TYPE = 'A' AND LAST_DAY( TRUNC( a.add_time ) ) = b.month_end)
AND ROWNUM = 1)
WHERE EXISTS
(SELECT old_value
FROM tablea a
WHERE LAST_DAY( TRUNC( a.add_time ) ) = b.month_end AND TYPE = 'A');
I'm not quite sure how to properly phrase the question, but I am basically trying to develop an SQL query that SELECTs information from this table:
-------------------
| id | Val | Date |
|----|-----|------|
| 1 | A | 10/9 |
| 1 | B | 3/14 |
| 2 | A | 1/6 |
| 3 | A | 4/4 |
| 4 | B | 7/12 |
| 5 | A | 8/6 |
-------------------
And produces a table that looks like this:
------------------------------------------------
| id | Val_1 | Val_1_Date | Val_2 | Val_2_Date |
|----|-------|------------|-------|-------------
| 1 | A | 10/9 | B | 3/14 |
| 2 | A | 1/6 | | |
| 3 | A | 4/4 | | |
| 4 | | | B | 7/12 |
| 5 | A | 8/6 | | |
------------------------------------------------
I have already begun and developed the query to pull out the values in the Val fields into distinct columns:
SELECT * FROM
(
SELECT id, MAX(SWITCH( val='A', 'A')) as Val_1,
MAX(SWITCH( val='B', 'B')) as Val_2
FROM table1 GROUP BY id
)a
WHERE Val_1 IS NULL OR Val_2 IS NULL;
How would I expand on this to pull out their associated dates?
(I am using SWITCH() instead of CASE WHEN because I am using a driver similar to that of MS Access.)
Thanks!
I think following should work:
select id, SWITCH( val='A', 'A') as Val_1, SWITCH( val='A', Date) as Val_1_Date, SWITCH( val='B', 'B') as Val_2, SWITCH( val='B', Date) as Val_2_Date FROM table1 GROUP BY id
I do not prefer switches, so here is a query that does what you want without switches. This also answers your previous question.
Select distinct table1.ID, tableA.Val as Val_1, tableA.Date as Val_1_Date,
tableB.Val as Val_2, tableB.Date as Val_2_Date
FROM table1 left outer join
table1 as tableA on table1.id = tableA.id and tableA.Val = 'A' left outer join
table1 as tableB on table1.id = tableB.id and tableB.Val = 'B'
You can use ISNULL if that is preferred. This works because the first tables selects a distinct column of ID's, and the two joins get the A and B values. When creating selects using this method, make sure that you use tableA.Val = 'A' in the join conditions, and not in the where clause. Having tableA.Val = 'A' in the where clause will filter out all NULL's.
given below table:
+----+---------+-----------+-------------+-------+
| ID | NAME | LAST NAME | PHONE | STATE |
+----+---------+-----------+-------------+-------+
| 1 | James | Vangohg | 04333989878 | NULL |
| 2 | Ashly | Baboon | 09898788909 | NULL |
| 3 | James | Vangohg | 04333989878 | NULL |
| 4 | Ashly | Baboon | 09898788909 | NULL |
| 5 | Michael | Foo | 02933889990 | NULL |
| 6 | James | Vangohg | 04333989878 | NULL |
+----+---------+-----------+-------------+-------+
I want to use MS SQL to find and update duplicate (based on name, last name and number) but only the earlier one(s). So desired result for above table is:
+----+---------+-----------+-------------+-------+
| ID | NAME | LAST NAME | PHONE | STATE |
+----+---------+-----------+-------------+-------+
| 1 | James | Vangohg | 04333989878 | DUPE |
| 2 | Ashly | Baboon | 09898788909 | DUPE |
| 3 | James | Vangohg | 04333989878 | DUPE |
| 4 | Ashly | Baboon | 09898788909 | NULL |
| 5 | Michael | Foo | 02933889990 | NULL |
| 6 | James | Vangohg | 04333989878 | NULL |
+----+---------+-----------+-------------+-------+
This query uses a CTE to apply a row number, where any number > 1 is a dupe of the row with the highest ID.
;WITH x AS
(
SELECT ID,NAME,[LAST NAME],PHONE,STATE,
ROW_NUMBER() OVER (PARTITION BY NAME,[LAST NAME],PHONE ORDER BY ID DESC)
FROM dbo.YourTable
)
UPDATE x SET STATE = CASE rn WHEN 1 THEN NULL ELSE 'DUPE' END;
Of course, I see no reason to actually update the table with this information; every time the table is touched, this data is stale and the query must be re-applied. Since you can derive this information at run-time, this should be part of a query, not constantly updated in the table. IMHO.
Try this statement.
LAST UPDATE:
update t1
set
t1.STATE = 'DUPE'
from
TableName t1
join
(
select name, last_name, phone, max(id) as id, count(id) as cnt
from
TableName
group by name, last_name, phone
having count(id) > 1
) t2 on ( t1.name = t2.name and t1.last_name = t2.last_name and t1.phone = t2.phone and t1.id < t2.id)
If my understanding of your requirements is correct, you want to update all of the STATE values to DUPE when there exists another row with a higher ID value that has the same NAME and LAST NAME. If so, use this:
update t set STATE = (case when sorted.RowNbr = 1 then null else 'DUPE' end)
from yourtable t
join (select
ID,
row_number() over
(partition by name, [last name], phone order by id desc) as RowNbr from yourtable)
sorted on sorted.ID = t.ID
I'm trying to write a sql with a where clause, that checks if any element in a list is in another list. Is there a shorter way to accomplish this rather than check each member of the first list?
SELECT * from FOO
WHERE FOO.A IN ('2','3', '5', '7','11','13','17','19') OR
FOO.B IN ('2','3', '5', '7','11','13','17','19') OR
FOO.C IN ('2','3', '5', '7','11','13','17','19') OR
FOO.D IN ('2','3', '5', '7','11','13','17','19') OR
FOO.E IN ('2','3', '5', '7','11','13','17','19') OR
FOO.F IN ('2','3', '5', '7','11','13','17','19')
That is the simplified sql.
Was trying not to muddy waters too much, but since you ask:
Ultimately what I am trying to do here is, select rows from FOO, that has columns fulfilling various criteria. These criteria are stored in a second table (call it BAR), mainly db, name, type must match and flag must be 1. Was planning to build the IN list from BAR, comparing them with column names in INFORMATION_SCHEMA.COLUMNS containing FOO
FOO:
+--------+--------+---------+---------+--------+-------+
| DB | Name | Type | Col1 | Col2 | Col3 |
+--------+--------+---------+---------+--------+-------+
| 4 | AC1 | LO | 1 | 10 | 2 |
| 4 | AC1 | HI | 2 | 20 | 4 |
| 1 | DC2 | HI-HI | 11 | 5 | 2 |
| 1 | DC2 | HI | 22 | 10 | 4 |
| 1 | DC2 | LO | 33 | 15 | 6 |
+--------+--------+---------+---------+--------+-------+
BAR:
+--------+--------+---------+---------+--------+
| DB | Name | Type | Field | Flag |
+--------+--------+---------+---------+--------+
| 4 | AC1 | LO | Col1 | 1 |
| 4 | AC1 | HI | Col1 | 1 |
| 1 | DC2 | HI-HI | Col1 | 1 |
| 1 | DC2 | HI | Col1 | 1 |
| 1 | DC2 | LO | Col1 | 1 |
| 4 | AC1 | LO | Col2 | 0 |
| 4 | AC1 | HI | Col2 | 0 |
| 1 | DC2 | LO | Col2 | 0 |
| 1 | DC2 | HI-HI | Col2 | 0 |
| 1 | DC2 | HI | Col2 | 0 |
| 4 | AC1 | LO | Col3 | 0 |
| 4 | AC1 | HI | Col3 | 0 |
| 1 | DC2 | LO | Col3 | 0 |
| 1 | DC2 | HI-HI | Col3 | 0 |
| 1 | DC2 | HI | Col3 | 0 |
+--------+--------+---------+---------+--------+
On first examination, it would seem your schema is not appropriate for the type of query you're performing. It seems like you would want a FOOVAL table with a type and a value then you're query simply becomes:
CREATE TABLE FOOVAL
{
ID int, -- References FOO.ID
TYPE char, -- A, B, C, D, E, F
VAL int
}
SELECT * FROM FOO WHERE FOO.ID IN
(SELECT DISTINCT FOOVAL.ID WHERE FOOVAL.VAL IN ('2','3', '5', '7','11','13','17','19'))
Your method probably performs the best. Here is an alternative that only requires creating the list once. It uses a CTE to create a list of the values and then an exists clause to check whether any values match:
with vals as (
select '2' as p union all
select '3' union all
select '5' union all
select '7' union all
select '11' union all
select '13' union all
select '17' union all
select '19'
)
select *
from foo
where exists (select 1 from vals where vals.p in (foo.A, foo.B, foo.C, foo.D, foo.E, foo.F))
If you are using a database that doesn't support CTEs, you can just put the code in the where clause:
select 8
from foo
where exists (select 1
from (select '2' as p union all
select '3' union all
select '5' union all
select '7' union all
select '11' union all
select '13' union all
select '17' union all
select '19'
) t
where vals.p in (foo.A, foo.B, foo.C, foo.D, foo.E, foo.F)
)
If you are using Oracle, then you need to add from dual in the statements after the string constants. Otherwise, I think one or the other should work in any SQL database.
While it is not exactly clear what you want to do with the data, since you are using SQL Server my suggestion would be to use the UNPIVOT function to turn the col1, col2 and col3 columns into rows which will make it easier to filter the data:
select db, name, type, col, value
from foo
unpivot
(
value
for col in (Col1, Col2, Col3)
) unpiv;
See SQL Fiddle with Demo. This gives the data in the following format:
| DB | NAME | TYPE | COL | VALUE |
------------------------------------
| 4 | AC1 | LO | Col1 | 1 |
| 4 | AC1 | LO | Col2 | 10 |
| 4 | AC1 | LO | Col3 | 2 |
| 4 | AC1 | HI | Col1 | 2 |
Once the is in the row format, it should be significantly easier to apply any filters or even join to your BAR table.