I have a complex SQL statement that I need to match up two table based on a join. The the intial part of the complex query has a location number that is stored in a table as a Smallint and the second table has the Store number stored as a CHAR(4). I have been able to cast the smallint to a char(4) like this:
CAST(STR_NBR AS CHAR(4)) AND LOCN_NBR
The issue is that because the Smallint suppresses the leading '0' the join returns null values from the right hand side of the LEFT OUTER JOIN.
Example
Table set A(Smallint) Table Set B (Char(4))
| 96 | | 096 |
| 97 | | 097 |
| 99 | | 099 |
| 100 | <- These return -> | 100 |
| 101 | <- These return -> | 101 |
| 102 | <- These return -> | 102 |
I need to add make it so that they all return, but since it is in a join statement how do you append a zero to the beginning and in certain conditions and not in others?
SELECT RIGHT('0000' || STR_NBR, 4)
FROM TABLE_A
Casting Table B's CHAR to tinyint would work as well:
SELECT ...
FROM TABLE_A A
JOIN TABLE_B B
ON A.num = CAST(B.txt AS TINYINT)
Try LPAD function:
LPAD(col,3,'0' )
I was able to successfully match it out to obtain a 3 digit location number at all times by doing the following:
STR_NBR was originally defined as a SmallINT(2)
LOCN_NO was originally defined as a Char(4)
SELECT ...
FROM TABLE_A AS A
JOIN TABLE_B AS B
ON CAST(SUBSTR(DIGITS(A.STR_NBR),3,3)AS CHAR(4)) = B.LOCN_NO
Related
I have two separate tables from two different databases that are performing a matching check.
If the values match I want them out of the result set. The first table (A) has multiple entries that contain the same symbol matches for the matching columns in the second table (B).
The entries in table B, if added up will ideally equal the value of one of the matching rows of A.
The tables look like below when queried separately.
Underneath the tables is what my query currently looks like. I thought if I group the columns by the symbols I could use the SUM of B to add up to the value of A which would get rid of the entries. However, I think because I am summing from B and not from A, then the A doesn't count as an aggregated column so must be included in the group by and doesn't allow for the summing to work in the way I'm wanting it to calculate.
How would I be able to run this query so the values in B are all summed up. Then, if matching to the symbol/value from any of the entries in A, don't get included in the result set?
Table A
| Symbol | Value |
|--------|-------|
| A | 1000 |
| A | 1000 |
| B | 1440 |
| B | 1440 |
| C | 1235 |
Table B
| Symbol | Value |
|--------|-------|
| A | 750 |
| A | 250 |
| B | 24 |
| B | 1416|
| C | 1874|
SELECT DBA.A, DBB.B
FROM DatabaseA DBA
INNER JOIN DatabaseB DBB on DBA.Symbol = DBB.Symbol
and DBA.Value != DBB.Value
group by DBA.Symbol, DBB.Symbol, DBB.Value
having SUM(DBB.Value) != DBA.Value
order by Symbol, Value
Edited to add ideal results
Table C
| SymbolB| ValueB| SymbolA | ValueA |
|--------|-------|---------|--------|
| C | 1874 | C | 1235 |
Wherever B adds up to A remove both. If they don't add, leave number inside result set
I will use CTE and use this common table expression (CTE) to search in Table A. Then join table A and table B on symbol.
WITH tDBB as (
SELECT DBB.Symbol, SUM(DBB.Value) as total
FROM tableB as DBB
GROUP BY DBB.Symbol
)
SELECT distinct DBB.Symbol as SymbolB, DBB.Value as ValueB, DBA.Symbol as SymbolA, DBA.Value as ValueA
FROM tableA as DBA
INNER JOIN tableB as DBB on DBA.Symbol = DBB.Symbol
WHERE DBA.Symbol in (Select Symbol from tDBB)
AND NOT DBA.Value in (Select total from tDBB)
Result:
|symbolB |valueB |SymbolA |ValueA |
|--------|-------|--------|-------|
| C | 1874 | C | 1235 |
with t3 as (
select symbol
,sum(value) as value
from t2
group by symbol
)
select *
from t3 join t on t.symbol = t3.symbol and t.value != t3.value
symbol
value
Symbol
Value
C
1874
C
1235
Fiddle
I have been searching around for how to do this for days - unfortunately I don't have much experience with SQL Queries, so it's been a bit of trial and error.
Basically, I have created two tables - both with one DateTime column and a different column with values in.
The DateTime column has different values in each table.
So...
ACOQ1 (Table 1)
===============
| DateTime | ACOQ1_Pump_Running |
|----------+--------------------|
| 7:14:12 | 1 |
| 8:09:03 | 1 |
ACOQ2 (Table 2)
===============
| DateTime | ACOQ2_Pump_Running |
|----------+--------------------|
| 3:54:20 | 1 |
| 7:32:57 | 1 |
I want to combine these two tables to look like this:
| DateTime | ACOQ1_Pump_Running | ACOQ2_Pump_Running |
|----------+--------------------+--------------------|
| 3:54:20 | 0 OR NULL | 1 |
| 7:14:12 | 1 | 0 OR NULL |
| 7:32:57 | 0 OR NULL | 1 |
| 8:09:03 | 1 | 0 OR NULL |
I have achieved this by creating a third table that 'UNION's the DateTime column from both tables and then uses that third table's DateTime column for the new table but was wondering if there was a way to skip this step out.
(Eventually I will be adding more and more columns on from different tables and don't really want to be adding yet more processing time by creating a joint DateTime table that may not be necessary).
My working code at the moment:
CREATE TABLE JointDateTime
(
DateTime CHAR(50)
CONSTRAINT [pk_Key3] PRIMARY KEY (DateTime)
);
INSERT INTO JointDateTime (DateTime)
SELECT ACOQ1.DateTime FROM ACOQ1
UNION
SELECT ACOQ2.DateTime FROM ACOQ2
SELECT JointDateTime.DateTime, ACOQ1.ACOQ1_NO_1_PUMP_RUNNING, ACOQ2.ACOQ2_NO_1_PUMP_RUNNING
FROM (SELECT ACOQ1.DateTime FROM ACOQ1
UNION
SELECT ACOQ2.DateTime FROM ACOQ2) JointDateTime
LEFT OUTER JOIN ACOQ1
ON JointDateTime.DateTime = ACOQ1.DateTime
LEFT OUTER JOIN ACOQ2
ON JointDateTime.DateTime = ACOQ2.DateTime
You need a plain old FULL OUTER JOIN like this.
SELECT COALESCE(A1.DateTime,A2.DateTime) DateTime,ACOQ1_Pump_Running, ACOQ2_Pump_Running
FROM ACOQ1 A1
FULL OUTER JOIN ACOQ2 A2
ON A1.DateTime = A2.DateTime
This will give you NULL for ACOQ1_Pump_Running, ACOQ2_Pump_Running for rows which do not match the date in the corresponding table. If you need 0 just use COALESCE or ISNULL.
Side Note: : In your script, I can see your are using DateTime CHAR(50). Please use appropriate types
I have a following table (simplified version) in SQLServer.
Table Events
-----------------------------------------------------------
| Room | User | Entered | Exited |
-----------------------------------------------------------
| A | Jim | 2014-10-10T09:00:00 | 2014-10-10T09:10:00 |
| B | Jim | 2014-10-10T09:11:00 | 2014-10-10T09:22:30 |
| A | Jill | 2014-10-10T09:00:00 | NULL |
| C | Jack | 2014-10-10T09:45:00 | 2014-10-10T10:00:00 |
| A | Jack | 2014-10-10T10:01:00 | NULL |
.
.
.
I need to create a query that returns person's whereabouts in given timestamps.
For an example: Where was (Jim at 2014-10-09T09:05:00), (Jim at 2014-10-10T09:01:00), (Jill at 2014-10-10T09:10:00), ...
The result set must contain the given User and Timestamp as well as the found room (if any).
------------------------------------------
| User | Timestamp | WasInRoom |
------------------------------------------
| Jim | 2014-10-09T09:05:00 | NULL |
| Jim | 2014-10-09T09:01:00 | A |
| Jim | 2014-10-10T09:10:00 | A |
The number of User-Timestamp tuples can be > 10 000.
The current implementation retrieves all records from Events table and does the search in Java code. I am hoping that I could push this logic to SQL. But how?
I am using MyBatis framework to create SQL queries so the tuples can be inlined to the query.
The basic query is:
select e.*
from events e
where e.user = 'Jim' and '2014-10-09T09:05:00' >= e.entered and ('2014-10-09T09:05:00' <= e.exited or e.exited is NULL) or
e.user = 'Jill' and '2014-10-10T09:10:00 >= e.entered and ('2014-10-10T09:10:00' <= e.exited or e.exited is NULL) or
. . .;
SQL Server can handle ridiculously large queries, so you can continue in this vein. However, if you have the name/time values in a table already (or it is the result of a query), then use a join:
select ut.*, t.*
from usertimes ut left join
events e
on e.user = ut.user and
ut.thetime >= et.entered and (ut.thetime <= exited or ut.exited is null);
Note the use of a left join here. It ensures that all the original rows are in the result set, even when there are no matches.
Answers from Jonas and Gordon got me on track, I think.
Here is query that seems to do the job:
CREATE TABLE #SEARCH_PARAMETERS(User VARCHAR(16), "Timestamp" DATETIME)
INSERT INTO #SEARCH_PARAMETERS(User, "Timestamp")
VALUES
('Jim', '2014-10-09T09:05:00'),
('Jim', '2014-10-10T09:01:00'),
('Jill', '2014-10-10T09:10:00')
SELECT #SEARCH_PARAMETERS.*, Events.Room FROM #SEARCH_PARAMETERS
LEFT JOIN Events
ON #SEARCH_PARAMETERS.User = Events.User AND
#SEARCH_PARAMETERS."Timestamp" > Events.Entered AND
(Events.Exited IS NULL OR Events.Exited > #SEARCH_PARAMETERS."Timestamp"
DROP TABLE #SEARCH_PARAMETERS
By declaring a table valued parameter type for the (user, timestamp) tuples, it should be simple to write a table valued user defined function which returns the desired result by joining the parameter table and the Events table. See http://msdn.microsoft.com/en-us/library/bb510489.aspx
Since you are using MyBatis it may be easier to just generate a table variable for the tuples inline in the query and join with that.
I am trying to make some sense of a xBase type database with some 2000 tables. Rather than importing them all into a SQL Server database, I wanted to import the tables one-by-one using a 'SELECT INTO tmpDBF' statement, then extract what I want to know like table structure and value ranges for each of the columns. Then, when I import the next table I want to be able to run the same query against a differently structured tmpDBF table.
I was hoping to do this using a cross apply, but I come up against the above error message.
select cols.column_name 'Name', cols.data_type 'Type', mv.minV 'Minimum'
from information_schema.columns cols
cross apply (select MIN(cols.column_name) minV FROM tmpDBF ) mv
where cols.table_name = 'tmpDBF'
Is there way to restructure the query or did I turn into a dead-end street?
Added on October 6:
Given tmpDBF
Who | Zip
--------|------
Charlie | 97689
Foxtrot | 92143
Delta | 12011
I would like to see the following result
Name | Type | Minimum | Maximum
-----|---------|---------|--------
who | varchar | Charlie | Foxtrot
Zip | int | 12011 | 96789
I realise that the Minimum and Maximum columns need to be cast as varchars.
This is not possible for two reasons.
you cannot dynamically change a column name in a query
you cannot mix multiple datatypes in a single column.
But to get you something similar to what you are looking for you can flip the problem around like this:
SQL Fiddle
MS SQL Server 2008 Schema Setup:
CREATE TABLE dbo.a(c1 INT, c2 INT, c3 DATE);
INSERT INTO dbo.a VALUES(1,2,'2013-04-05'),(4,5,'2010-11-10'),(7,8,'2012-07-09');
Query 1:
SELECT
MIN(c1) c1_min,MAX(c1) c1_max,
MIN(c2) c2_min,MAX(c2) c2_max,
MIN(c3) c3_min,MAX(c3) c3_max
FROM dbo.a;
Results:
| C1_MIN | C1_MAX | C2_MIN | C2_MAX | C3_MIN | C3_MAX |
|--------|--------|--------|--------|------------|------------|
| 1 | 7 | 2 | 8 | 2010-11-10 | 2013-04-05 |
That gives you all the column minima and maxima in a single row. (It's not dynamic yet. Stay with me...)
To make it a little more readable you can use a sort of UNPIVOT like this:
Query 2:
SELECT
CASE X.FN WHEN 1 THEN 'MIN' ELSE 'MAX' END AS FN,
CASE X.FN WHEN 1 THEN c1_min ELSE c1_max END AS c1,
CASE X.FN WHEN 1 THEN c2_min ELSE c2_max END AS c2,
CASE X.FN WHEN 1 THEN c3_min ELSE c3_max END AS c3
FROM(
SELECT
MIN(c1) c1_min,MAX(c1) c1_max,
MIN(c2) c2_min,MAX(c2) c2_max,
MIN(c3) c3_min,MAX(c3) c3_max
FROM dbo.a)AGG
CROSS JOIN (VALUES(1),(2))X(FN)
ORDER BY X.FN;
Results:
| FN | C1 | C2 | C3 |
|-----|----|----|------------|
| MIN | 1 | 2 | 2010-11-10 |
| MAX | 7 | 8 | 2013-04-05 |
Now to make it dynamic we have to build that query on the fly, like this:
Query 3:
DECLARE #cmd NVARCHAR(MAX);
SET #cmd =
'SELECT CASE X.FN WHEN 1 THEN ''MIN'' ELSE ''MAX'' END AS FN'+
(SELECT ',CASE X.FN WHEN 1 THEN '+name+'_min ELSE '+name+'_max END AS '+name
FROM sys.columns WHERE object_id = OBJECT_ID('dbo.a')
FOR XML PATH(''),TYPE).value('.','NVARCHAR(MAX)')+
' FROM(SELECT '+
STUFF((SELECT ',MIN('+name+') '+name+'_min,MAX('+name+') '+name+'_max'
FROM sys.columns WHERE object_id = OBJECT_ID('dbo.a')
FOR XML PATH(''),TYPE).value('.','NVARCHAR(MAX)'),1,1,'')+
' FROM dbo.a)AGG CROSS JOIN (VALUES(1),(2))X(FN) ORDER BY X.FN;';
EXEC(#cmd);
Results:
| FN | C1 | C2 | C3 |
|-----|----|----|------------|
| MIN | 1 | 2 | 2010-11-10 |
| MAX | 7 | 8 | 2013-04-05 |
This query takes the columns of the table at runtime, builds the appropriate query dynamically and executes it. It contains the table name ('dbo.a') in three places. If you want it to work with different tables you need to replace all three.
Try something like
select cols.column_name 'Name', cols.data_type 'Type', mv.minV 'Minimum'
from information_schema.columns cols
cross apply (select MIN(cols.column_name) minV FROM tmpDBF
WHERE tmpDBF.CommonCol = cols.CommonCol) mv
where cols.table_name = 'tmpDBF'
I know there are a lot of Pivot table examples on the internet, however I'm new to SQL and I'm having a bit of trouble as all the examples seem to be pertaining to aggregate functions.
Table 1:
|Date | Tag |Value |
|06/10 2:00pm | A | 65 |
|06/10 2:00pm | B | 44 |
|06/10 2:00pm | C | 33 |
|06/10 2:02pm | A | 12 |
|06/10 2:02pm | B | 55 |
|06/10 2:02pm | C | 21 |
....
|06/10 1:58am | A | 23 |
What I would like it to look like is (table 2):
|Date | A | B | C |
|06/10 2:00pm| 65 | 44 | 33 |
|06/10 2:02pm| 12 | 55 | 21 |
.....
|06/10 1:58am| 23 | etc. | etc. |
(sorry for the format)
Some problems that encounter (doesn't work with code I have found online)
I'd like to run this as a stored procedure (rather a SQL job), every 2 minutes so that this data from table 1 is constantly being moved to table 2. However I think I would need to alter the date every single time? (thats the syntax I've seen)
The pivot table itself seems simple on its own, but the datetime has been causing me grief.
Any code snipets or links would be greatly appreciated.
Thanks.
The pivot itself seems simple:
select *
from table1
pivot (min (Value) for Tag in ([A], [B], [C])) p
As for stored procedure, I would use last date saved in table2 as a filter for table1, excluding incomplete groups (I'm assuming that there will be, at some point, all three tags present, and that only last date can be incomplete. If not, you will need special processing for last date to update/insert a row).
So, in code:
create proc InsertPivotedTags
as
set NoCount ON
set XACT_ABORT ON
begin transaction
declare #startDate datetime
-- Last date from Table2 or start of time
select #startDate = isnull (max ([Date]), '1753-01-01')
from Table2
insert into Table2
select *
from Table1
pivot (min (Value) for Tag in ([A], [B], [C])) p
where [Date] > #startDate
-- exclude incomplete groups
and a is not null
and b is not null
and c is not null
commit transaction
If groups can be incomplete you should remove exlude filter and add a delete statement that removes last date in case it is incomplete, and adjusts #startDate to three milliseconds earlier to get the same rows again, but now in more filled up state.