I'm trying to update or insert data dependent on whether the account number is already in the existing data.
Firstly I added the new variables to those with an acocunt number already in the table using this
drop table #test1
select a.*, B.Delq_Sep12, b.Bal_Sep12, b.Queue_Sep12
into #test1
from pcd1 a
left join #pcd_sep12 b on (a.ACCOUNT_NUMBER = B.account_number)
Then I add all those records whose account number is not in test1 (created above) from #pcd_sep12 into test1
INSERT #test1
SELECT * FROM #pcd_sep12 WHERE account_number NOT IN(SELECT account_number FROM #test1)
I get the error Column name or number of supplied values does not match table definition.
I realise its because theres not the same number of fields but is there a way around this?
Why not use the MERGE (aka "upsert") statement?
MERGE INTO pcd1 M
USING (SELECT * FROM #pcd_sep12) src ON M.account_number = src.account_number
WHEN MATCHED
-- UPDATE stuff
WHEN NOT MATCHED BY TARGET
-- INSERT stuff;
This way you don't need a temp table or any tests: these won't be concurrency-safe under load
You have to specify the columns like this
INSERT INTO #test1 (column1, column2, column3)
(SELECT column1, column2, column3 FROM #pcd_sep12 WHERE account_number NOT IN(SELECT account_number FROM #test1))
if i am not mistaken, your #test1 table has columns from pcd1 table also. but in your second query, you are only selecting from #pcd_sep12.
Related
I'm trying to write a query that extracts and transforms data from a table and then insert those data into another table. Yes, this is a data warehousing query and I'm doing it in MS Access. So basically I want some query like this:
INSERT INTO Table2(LongIntColumn2, CurrencyColumn2) VALUES
(SELECT LongIntColumn1, Avg(CurrencyColumn) as CurrencyColumn1 FROM Table1 GROUP BY LongIntColumn1);
I tried but get a syntax error message.
What would you do if you want to do this?
No "VALUES", no parenthesis:
INSERT INTO Table2(LongIntColumn2, CurrencyColumn2)
SELECT LongIntColumn1, Avg(CurrencyColumn) as CurrencyColumn1 FROM Table1 GROUP BY LongIntColumn1;
You have two syntax options:
Option 1
CREATE TABLE Table1 (
id int identity(1, 1) not null,
LongIntColumn1 int,
CurrencyColumn money
)
CREATE TABLE Table2 (
id int identity(1, 1) not null,
LongIntColumn2 int,
CurrencyColumn2 money
)
INSERT INTO Table1 VALUES(12, 12.00)
INSERT INTO Table1 VALUES(11, 13.00)
INSERT INTO Table2
SELECT LongIntColumn1, Avg(CurrencyColumn) as CurrencyColumn1 FROM Table1 GROUP BY LongIntColumn1
Option 2
CREATE TABLE Table1 (
id int identity(1, 1) not null,
LongIntColumn1 int,
CurrencyColumn money
)
INSERT INTO Table1 VALUES(12, 12.00)
INSERT INTO Table1 VALUES(11, 13.00)
SELECT LongIntColumn1, Avg(CurrencyColumn) as CurrencyColumn1
INTO Table2
FROM Table1
GROUP BY LongIntColumn1
Bear in mind that Option 2 will create a table with only the columns on the projection (those on the SELECT).
Remove both VALUES and the parenthesis.
INSERT INTO Table2 (LongIntColumn2, CurrencyColumn2)
SELECT LongIntColumn1, Avg(CurrencyColumn) FROM Table1 GROUP BY LongIntColumn1
I believe your problem in this instance is the "values" keyword. You use the "values" keyword when you are inserting only one row of data. For inserting the results of a select, you don't need it.
Also, you really don't need the parentheses around the select statement.
From msdn:
Multiple-record append query:
INSERT INTO target [(field1[, field2[, …]])] [IN externaldatabase]
SELECT [source.]field1[, field2[, …]
FROM tableexpression
Single-record append query:
INSERT INTO target [(field1[, field2[, …]])]
VALUES (value1[, value2[, …])
Remove VALUES from your SQL.
Remove "values" when you're appending a group of rows, and remove the extra parentheses. You can avoid the circular reference by using an alias for avg(CurrencyColumn) (as you did in your example) or by not using an alias at all.
If the column names are the same in both tables, your query would be like this:
INSERT INTO Table2 (LongIntColumn, Junk)
SELECT LongIntColumn, avg(CurrencyColumn) as CurrencyColumn1
FROM Table1
GROUP BY LongIntColumn;
And it would work without an alias:
INSERT INTO Table2 (LongIntColumn, Junk)
SELECT LongIntColumn, avg(CurrencyColumn)
FROM Table1
GROUP BY LongIntColumn;
Well I think the best way would be (will be?) to define 2 recordsets and use them as an intermediate between the 2 tables.
Open both recordsets
Extract the data from the first table (SELECT blablabla)
Update 2nd recordset with data available in the first recordset (either by adding new records or updating existing records
Close both recordsets
This method is particularly interesting if you plan to update tables from different databases (ie each recordset can have its own connection ...)
inserting data form one table to another table in different DATABASE
insert into DocTypeGroup
Select DocGrp_Id,DocGrp_SubId,DocGrp_GroupName,DocGrp_PM,DocGrp_DocType
from Opendatasource( 'SQLOLEDB','Data Source=10.132.20.19;UserID=sa;Password=gchaturthi').dbIPFMCI.dbo.DocTypeGroup
Do you want to insert extraction in an existing table?
If it does not matter then you can try the below query:
SELECT LongIntColumn1, Avg(CurrencyColumn) as CurrencyColumn1 INTO T1 FROM Table1
GROUP BY LongIntColumn1);
It will create a new table -> T1 with the extracted information
I have a table called leads with duplicate records
Leads:
*account_id
*campaign_id
I want to remove all the duplicate account_id where campaign_id equal to "51"
For example, if account_id = 1991 appears two times in the table then remove the one with campaign_id = "51" and keep the other one.
You could use a delete join:
DELETE t1
FROM yourTable t1
INNER JOIN yourTable t2
ON t2.account_id = t1.account_id AND
t2.campaign_id <> 51
WHERE
t1.campaign_id = 51;
There's no problem to delete from a table provided that:
You use the correct syntax.
You have done a backup of the table BEFORE you do any deleting.
However, I would suggest a different method:
Create a new table based on the existing table:
CREATE TABLE mytable_new LIKE mytable;
Add unique constraint (or PRIMARY KEY) on column(s) you don't want to have duplicates:
ALTER TABLE mytable_new ADD UNIQUE(column1,[column2]);
Note: if you want to identify a combination of two (or more) columns as unique, place all the column names in the UNIQUE() separated by comma. Maybe in your case, the constraint would be UNIQUE(account_id, campaign_id).
Insert data from original table to new table:
INSERT IGNORE INTO mytable_new SELECT * FROM mytable;
Note: the IGNORE will insert only non-duplicate values that match with the UNIQUE() constraint. If you have an app that runs a MySQL INSERT query to the table, you have to update the query by adding IGNORE.
Check data consistency and once you're satisfied, rename both tables:
RENAME TABLE mytable TO mytable_old;
RENAME TABLE mytable_new TO mytable;
The best thing about this is that in case that if you see anything wrong with the new table, you still have the original table.
Changing the name of the tables only take less than a second, the probable issue here is that it might take a while to do the INSERT IGNORE if you have a large data.
Demo fiddle
DELETE t1
FROM yourTable t1
INNER JOIN yourTable t2
ON t2.account_id = t1.account_id AND
t2.campaign_id <> 51
WHERE
t1.campaign_id = 51;
How it's possible to copy one entry row of a table with same data to another (same ID, same data values) Database -> same table?
Example:
Table Units:
UID Department Name Item
67 HR John Doe Table
If both tables equal no. of columns and in same order you want to insert then just use below simple query-
INSERT INTO mytable SELECT * FROM units WHERE uid=67;
If you want to insert selected column in another table's selected columns and in your order then use below-
INSERT INTO mytable(col1,col2,col3,col4) SELECT uid,department,`name`,item FROM units WHERE uid=67;
If I understand you correctly you want to copy some rows to table of another DB.
Try INSERT SELECT Query:
insert into db1.tbl(id,col1,col2)
select id,col1,col2 from db2.tbl;
Use trigger option in mysql to make new table with same data.
Suppose if you want to copy table1 data to table2 with some condition.
INSERT INTO table2 (ID, NAME) SELECT Col1, Col2 FROM table1 WHERE Col1='<Your_Condition>';
Here table2 have fields like ID and NAME and table1 have fields like Col1 and Col2.
In that case, above query copy table1 data to table2 on these fields where condition matched on table1, if you want to copy whole data of table1 then remove the WHERE condition from Select Query.
I am trying to fetch all rows from a particular table if value found in any column of the particular table.
you can just use IN. eg
SELECT *
FROM tbName
WHERE yourValue IN (column1, column2, column3, ....)
You can probably use the EXISTS to do your job.
Below query will get the stores name only if city 2 has a name.
SELECT store_name FROM stores WHERE EXISTS (SELECT name FROM cities WHERE id = 2);
I have a table that contains some duplicate redords. I want to make records unique. I created a new table (say, destination) and I specified a unique column in it. How can copy records from table1 (source) such that, if the record inserted in the destination table, it does not insert it again.
You can use the "select into" construct and select insert only distinct rows, like this:
insert into table_without_dupes (column0, column1) select distinct column0, column1 from table_with_dupes
If you have autoincrement or other columns that makes the rows distinct, you can just leave them out of the insert and select parts of the statement.
Edit:
If you want to detect duplicates by a single column, you can use group by:
insert into table_without_dupes (column0, column1) select column0, column1 from table_with_dupes group by column0
MySQL will allow you to refer non-aggregated columns in select, but remember that the documentation says "The server is free to choose any value from each group", if you want to select one specific row of the groups, you might find this example useful.
Generic approach
insert into destination(col1,col2)
select DISTINCT col1,col2 from source as s where not exists
(select * from destination as d where d.col1=s.col1)
Edited
insert into destination(col1,col2)
SELECT distinct col1,col2 from source
Edited (Assuming col3 is duplicated and you want only one copy of it.)
insert into destination(col1,col2,col3,....,colN)
SELECT col1,col2,col3,...,colN from source as s1 inner join
(
select col1,col2,max(col3) as col3
from source
group by col1,col2
) as s2 on t1.col1=t2.col1 and t1.col2=t2.col2 and t1.col3=t2.col3
insert into <dest_table_name>
select distinct * from <source_table_name>;