I am getting the data from the Excel sheet on monthly , need to import data into the Access table as same as excel sheet. Then I need to transform the Access table (Input table) into the Normal Access table( Output table)...
Kindly provide suggestions
how to create a dynamic input table in the access ..since new column can add or remove in the excel sheet (ex :201211)
How to convert input table into Output table in the access.
Input Table : ( Column name : Product | Location | 201209 | 201210 )
Product | Location | 201209 | 201210
X | DK | 10 | 12
y | DK | 10 | 12
Output table :
Product | Location | Date | Quantity
X | DK |201209 | 10
X | DK |201209 | 12
Y | DK |201210 | 10
Y | DK |201210 | 12
My input table contains more columns ( ex : 201208 , 201209, 201210 ....... 201402)
You could get your desired output from a query like this:
Select Product, Location, '201209' as [Date], Table.[201209] as Quantity from Table
UNION
Select Product, Location, '201210' as [Date], Table.[201210] as Quantity from Table
You mentioned that your column names could change. You could get around this by creating a VBA subroutine which would look at the TableDef, and construct a SQL query for all the columns which would then insert records into a table.
Related
I am executing this query through a databricks notebook, to join data from a stage table to a target table based on the shared join keys: account_id and stmt_end_dt. The stage table has 2 billion rows of data and the target table has 3 billion rows of data.
Here is the main query:
"UPDATE TARGET_TBL SET INCOME = S.INCOME, CUSTOMERGROUPID = S.CUSTOMERGROUPID, CUSTOMERID = S.CUSTOMERID
FROM STAGE_TBL AS S
WHERE CAST(S.ACCT_ID AS NUMBER(18,0)) = TARGET_TBL.ACCT_ID
AND CAST(S.STMT_END_DT AS DATE) = TARGET_TBL.STMT_END_DT"
What I want to do is add "income", "customerid", and "customergroup" data to the matching rows of "account_id" and "stmt_end_dt" in the target table, from the stage table. When I go into the target table I see that there are now fields for "income", "customerid", and "customergrop" (this is fine because it was created through an earlier query). After my query has run and I click into the target table I see that account_id is blank and that "income", "customerid" and "customergroup" all have data filled. And when I run this query: SELECT * FROM TARGET_TBL WHERE INCOME IS NOT NULL; I get back 80000 rows (seems kinda low considering the stage table is 2 billion). Also after that query runs I see again that "income", "customerid" and "customergroup" are all populated with data, but account_id is full of NULLS. It is as this data is just being appended or tacked on, and not updating each account_id's fields with the matching data, this is how I imagine it should look like:
account_id | income | customerid | customergroupid
4321 | 60000 | 6345 | 3
5432 | 55000 | 4345 | 5
But instead it looks like this:
account_id | income | customerid | customergroupid
| 60000 | 6345 | 3
| 55000 | 4345 | 5
Or when I run: SELECT * WHERE INCOME IS NOT NULL:
account_id | income | customerid | customergroupid
NULL | 60000 | 6345 | 3
NULL | 55000 | 4345 | 5
And if I simply open the target table it looks like this:
account_id | income | customerid | customergroupid
4321 | | |
5432 | | |
After that query runs, it is also NULL for all other fields outside of the last 3 shown.
Perhaps the data types coming from the stage table aren't compatible with the target table?
What could be causing this strange behavior?
you can't compare "values" with "null"... if a field is "null" there is nothing to compare. I believe this is your problem.
if you have null fields and you want to compare, usually you can try "is null" or "nvl" lookup for the syntax of these.. it is very helpfull.
I have a crosstab query in MSAccess that displays the count of the occurrences of each column heading. I would like to substitute an 'X' in place of any integer.
I can change the word Count in both places of the TRANSFORM statement to First, and it will display the Column Heading in each row in place of the Count, but I cannot get it to insert the 'X' ...
Header looks like this:
| Site ID | 737 | 747 | 757 | ...
Result looks like this:
| Site 15 | 5 | 5 | 5 | ...
Desired result:
| Site 15 | X | X | X | ...
SQL:
TRANSFORM Count([tblPART-TO-AIRCRAFT].ACType) AS CountOfACType
SELECT [tblPART-TO-AIRCRAFT].[SITE ID]
FROM [tblPART-TO-AIRCRAFT]
GROUP BY [tblPART-TO-AIRCRAFT].[SITE ID]
PIVOT [tblPART-TO-AIRCRAFT].[ACType];
Consider:
TRANSFORM IIf(Count(*) IS NULL, Null, "X") AS CountOfACType
SELECT [tblPART-TO-AIRCRAFT].[SITE ID]
FROM [tblPART-TO-AIRCRAFT]
GROUP BY [tblPART-TO-AIRCRAFT].[SITE ID]
PIVOT [tblPART-TO-AIRCRAFT].[ACType];
ID | Col2 | Col3 | SequenceNum
--------------------------------
1 | x | 12 | 5
2 | y | 11 | 6
3 | a | 45 | 7
100 | b | 23 | 8
101 | a | 16 | 9
102 | b | 28 | 10
4 | a | 9 | 11
5 | b | 26 | 12
6 | x | 100 | 13
I have an SSRS report at the moment which you can enter the ID for and it'll show you data for those ID's. For example lets say you enter start ID 2 end ID 5 it'll report back 2,3,4,5 with Col2 and Col3 data.
But what I really want to happen is for it to return 2,3,100,101,102,3,4,5
I believe may be some way to cross reference the SequenceNum column but I'm fairly new to SQL and SSRS can anyone help?
So an user would enter a parameters...
start-ID = 2 which has a SequenceNum of 6
and end-ID = 5 which has an SequenceNum of 12
Extract your starting and ending sequence numbers from value supplied by starting id and ending id respectively and use them in WHERE condition as below
DECLARE #StartingSeqNum INT, #EndingSeqNum
SELECT #StartingSeqNum = SeqNum FROM tableName WHERE ID = #start_id
SELECT #EndingSeqNum = SeqNum FROM tableName WHERE ID = #end_id
SELECT Col2,Col3
FROM tableName
WHERE SeqNum BETWEEN #StartingSeqNum AND #EndingSeqNum
As you are using SSRS you can specify a Value and a Label for your parameters.
Create a dataset with the following SQL as the source:
select distinct ID as Label
,SequenceNum as Value
from YourTable
order by SequenceNum
And then in the properties for your parameter, in Available Values select Get values from query and then select the above dataset. Set the Value field and Label field as your label and value columns and then click OK. You will need to do this for your start and end parameters, using the same dataset.
Your parameters will now be drop down menus that display the ID value to the user, but passes the SequenceNum value to your query. You can then use these to filter your main dataset.
I have a table Farm with these columns
FarmID:(primary)
Kenizy:
BarBedo:
BarBodo:
MorKodo:
These columns are palm types in some language. each column of those contains a number indicates the number of this type of palm inside a farm.
Example:
FarmID | Kenizy | BarBedo | BarBodo | MorKodo
-----------------------------------------------
3 | 20 | 12 | 45 | 60
22 | 21 | 9 | 41 | 3
I want to insert that table into the following tables:
Table Palm_Farm
FarmID:(primary)
PalmID;(primary)
PalmTypeName:
Count:
That table connects each farm with each palm type.
Example:
FarmID | PalmID | PalmTypeName | Count
-----------------------------------------------
3 | 1 | Kenizy | 20
3 | 2 | BarBedo | 12
3 | 3 | BarBodo | 45
3 | 4 | MorKodo | 60
22 | 1 | Kenizy | 21
22 | 2 | BarBedo | 9
22 | 3 | BarBodo | 41
22 | 4 | MorKodo | 3
I have to use the following table Palms in order to take the PalmID column.
PalmID:(primary)
PlamTypeName:
...other not important columns
This table is to save information about each palm type.
Example:
PalmID | PlamTypeName
-------------------------
1 | Kenizy
2 | BarBedo
3 | BarBodo
4 | MorKodo
The PalmTypeName column has the value the same as the COLUMN NAMES in the Farm table.
So my question is:
How to insert the data from Farm table to Palm_Farm considering that the PalmID exist in the Palm table
I hope I could make my question clear, I tried to solve my problem myself but the fact that the column name in the Farm table must be the column value in the Palm_Farm table couldn't know how to do it.
I can't change the table structure because we are trying to help a customer with this already existing tables
I am using SQL Server 2008 so Merge is welcomed.
Update
After the genius answer by #GarethD, I got this exception
You can use UNPIVOT to turn the columns into rows:
INSERT Palm_Farm (FarmID, PalmID, PalmTypeName, [Count])
SELECT upvt.FarmID,
p.PalmID,
p.PalmTypeName,
upvt.[Count]
FROM Farm AS f
UNPIVOT
( [Count]
FOR PalmTypeName IN ([Kenizy], [BarBedo], [BarBodo], [MorKodo])
) AS upvt
INNER JOIN Palms AS p
ON p.PalmTypeName = upvt.PalmTypeName;
Example on SQL Fiddle
The docs for UNPIVOT state:
UNPIVOT performs almost the reverse operation of PIVOT, by rotating columns into rows. Suppose the table produced in the previous example is stored in the database as pvt, and you want to rotate the column identifiers Emp1, Emp2, Emp3, Emp4, and Emp5 into row values that correspond to a particular vendor. This means that you must identify two additional columns. The column that will contain the column values that you are rotating (Emp1, Emp2,...) will be called Employee, and the column that will hold the values that currently reside under the columns being rotated will be called Orders. These columns correspond to the pivot_column and value_column, respectively, in the Transact-SQL definition.
To explain further how unpivot works, I will look at the first row original table:
FarmID | Kenizy | BarBedo | BarBodo | MorKodo
-----------------------------------------------
3 | 20 | 12 | 45 | 60
So what UPIVOT will do is look for columns specified in the UNPIVOT statement, and create a row for each column:
SELECT upvt.FarmID, upvt.PalmTypeName, upvt.[Count]
FROM Farm AS f
UNPIVOT
( [Count]
FOR PalmTypeName IN ([Kenizy], [BarBedo])
) AS upvt;
So here you are saying, for every row find the columns [Kenizy] and [BarBedo] and create a row for each, then for each of these rows create a new column called PalmTypeName that will contain the column name used, then put the value of that column into a new column called [Count]. Giving a result of:
FarmID | Kenizy | Count |
---------------------------
3 | Kenizy | 20 |
3 | BarBedo | 12 |
If you are running SQL Server 2000, or a later version with a lower compatibility level, then you may need to use a different query:
INSERT Palm_Farm (FarmID, PalmID, PalmTypeName, [Count])
SELECT f.FarmID,
p.PalmID,
p.PalmTypeName,
[Count] = CASE upvt.PalmTypeName
WHEN 'Kenizy' THEN f.Kenizy
WHEN 'BarBedo' THEN f.BarBedo
WHEN 'BarBodo' THEN f.BarBodo
WHEN 'MorKodo' THEN f.MorKodo
END
FROM Farm AS f
CROSS JOIN
( SELECT PalmTypeName = 'Kenizy' UNION ALL
SELECT PalmTypeName = 'BarBedo' UNION ALL
SELECT PalmTypeName = 'BarBodo' UNION ALL
SELECT PalmTypeName = 'MorKodo'
) AS upvt
INNER JOIN Palms AS p
ON p.PalmTypeName = upvt.PalmTypeName;
This is similar, but you have to create the additional rows yourself using UNION ALL inside the subquery upvt, then choose the value for [Count] using a case expression.
To update when the row exists you can use MERGE
WITH Data AS
( SELECT upvt.FarmID,
p.PalmID,
p.PalmTypeName,
upvt.[Count]
FROM Farm AS f
UNPIVOT
( [Count]
FOR PalmTypeName IN ([Kenizy], [BarBedo], [BarBodo], [MorKodo])
) AS upvt
INNER JOIN Palms AS p
ON p.PalmTypeName = upvt.PalmTypeName
)
MERGE Palm_Farm WITH (HOLDLOCK) AS pf
USING Data AS d
ON d.FarmID = pf.FarmID
AND d.PalmID = pf.PalmID
WHEN NOT MATCHED BY TARGET THEN
INSERT (FarmID, PalmID, PalmTypeName, [Count])
VALUES (d.FarmID, d.PalmID, d.PalmTypeName, d.[Count])
WHEN MATCHED THEN
UPDATE
SET [Count] = d.[Count],
PalmTypeName = d.PalmTypeName;
I have two tables that have identical columns. I would like to join these two tables together into a third one that contains all the rows from the first one and from the second one all the rows that have a date that doesn't exist in the first table for the same location.
Example:
transactions:
date |location_code| product_code | quantity
------------+------------------+--------------+----------
2013-01-20 | ABC | 123 | -20
2013-01-23 | ABC | 123 | -13.158
2013-02-04 | BCD | 234 | -4.063
transactions2:
date |location_code| product_code | quantity
------------+------------------+--------------+----------
2013-01-20 | BDE | 123 | -30
2013-01-23 | DCF | 123 | -2
2013-02-05 | UXJ | 234 | -6
Desired result:
date |location_code| product_code | quantity
------------+------------------+--------------+----------
2013-01-20 | ABC | 123 | -20
2013-01-23 | ABC | 123 | -13.158
2013-01-23 | DCF | 123 | -2
2013-02-04 | BCD | 234 | -4.063
2013-02-05 | UXJ | 234 | -6
How would I go about this? I tried for example this:
SELECT date, location_code, product_code, type, quantity, location_type, updated_at
,period_start_date, period_end_date
INTO transactions_combined
FROM ( SELECT * FROM transactions_kitchen k
UNION ALL
SELECT *
FROM transactions_admin h
WHERE h.date NOT IN (SELECT k.date FROM k)
) AS t;
but that doesn't take into account that I'd like to include the rows that have the same date, but different location. I have Postgresql 9.2 in use.
UNION simply doesn't do what you describe. This query should:
CREATE TABLE AS
SELECT date, location_code, product_code, quantity
FROM transactions_kitchen k
UNION ALL
SELECT h.date, h.location_code, h.product_code, h.quantity
FROM transactions_admin h
LEFT JOIN transactions_kitchen k USING (location_code, date)
WHERE k.location_code IS NULL;
LEFT JOIN / IS NULL to exclude rows from the second table for the same location and date. See:
Select rows which are not present in other table
Use CREATE TABLE AS instead of SELECT INTO. The manual:
CREATE TABLE AS is functionally similar to SELECT INTO. CREATE TABLE AS is the recommended syntax, since this form of SELECT INTO
is not available in ECPG or PL/pgSQL, because they interpret the
INTO clause differently. Furthermore, CREATE TABLE AS offers a
superset of the functionality provided by SELECT INTO.
Or, if the target table already exists:
INSERT INTO transactions_combined (<list names of target column here!>)
SELECT ...
Aside: I would not use date as column name. It's a reserved word in every SQL standard and a function and data type name in Postgres.
Change UNION ALL to just UNION and it should return only unique rows from each table.