I need to perform an INSERT query like this:
INSERT INTO Clients (ClientName, CountryID) VALUES ("STYLUS", 4)
But:
Only insert if ClientName (STYLUS for the example here) does not already exists
The CountryID (4 for the example here) must be retrieved from another query: SELECT CountryID FROM Countries WHERE CountryUK = 'FRANCE'
Is it possible to build a single SQL Query for all of this ?
Thanks.
For the first condition, you need a unique index/constraint on the table:
create unique index unq_clients_clientname;
Then, you can insert the value doing:
insert into clients(clientname, countryId)
select 'STYLUS', countryid
from countries
where countryuk = 'FRANCE';
This will return an error if you attempt to insert a duplicate value. If you don't want an error, then a database-independent method is:
insert into clients(clientname, countryId)
select 'STYLUS', countryid
from countries
where countryuk = 'FRANCE' and
not exists (select 1 from clients c2 where c2.clientname = 'STYLUS');
Being Simple,
if not exists(select * from Clients where Cientname='Stylus') begin insert into Clients select 'Stylus',Countryid from Countries where countryname='France' end
will do the work.Hope It helps.
I have two tables, one is a table #1 contains user information, email, password, etc..
the other table #2 contains item information
when I do a insert into table #2, and then use the returning statement, to gather what was inserted (returning auto values as well as other information), I also need to return information from table #1.
(excuse the syntax)
example:
insert into table #1(item,user) values('this item','the user')
returning *, select * from table 2 where table #1.user = table #2.user)
in other words, after the insert I need to return the values inserted, as well as the information about the user who inserted the data.
is this possible to do?
the only thing I came up with is using a whole bunch of subquery statements in the returning clause. there has to be a better way.
I suggest a data-modifying CTE (Postgres 9.1 or later):
WITH ins AS (
INSERT INTO tbl1(item, usr)
VALUES('this item', 'the user')
RETURNING usr
)
SELECT t2.*
FROM ins
JOIN tbl2 t2 USING (usr)
Working with the column name usr instead of user, which is a reserved word.
Use a subquery.
Simple demo: http://sqlfiddle.com/#!15/bcc0d/3
insert into table2( userid, some_column )
values( 2, 'some data' )
returning
userid,
some_column,
( SELECT username FROM table1
WHERE table1.userid = table2.userid
);
I am trying to select data from one table
and insert the data into another table
SELECT ticker FROM tickerdb;
Using OracleSql I am trying to
get the ticker symbol "GOOG" from the tickerdb table,
and insert the t.ticker into the stockdb table.
select from tickerdb table --> insert into quotedb table
INSERT INTO quotedb
(t.ticker, q.prevclose, q.opn, q.rnge,
q.volume, q.marketcap, q.dividend, q.scrapedate)
VALUES (?,?,?,?,?,?,?,?,SYSDATE)
tickerdb t inner JOIN quotedb q
ON t.ticker = q.ticker
From the oracle documentation, the below query explains it better
INSERT INTO tbl_temp2 (fld_id)
SELECT tbl_temp1.fld_order_id
FROM tbl_temp1 WHERE tbl_temp1.fld_order_id > 100;
You can read this link
Your query would be as follows
//just the concept
INSERT INTO quotedb
(COLUMN_NAMES) //seperated by comma
SELECT COLUMN_NAMES FROM tickerdb,quotedb WHERE quotedb.ticker = tickerdb.ticker
Note: Make sure the columns in insert and select are in right position as per your requirement
Hope this helps!
You can use
insert into <table_name> select <fieldlist> from <tables>
try this query below:
Insert into tab1 (tab1.column1,tab1.column2)
select tab2.column1, 'hard coded value'
from tab2
where tab2.column='value';
You will get useful information from here.
SELECT ticker
INTO quotedb
FROM tickerdb;
This question already has answers here:
sql query to return differences between two tables
(14 answers)
Closed 6 years ago.
I would like to know how to compare two different database table records. What I mean is I will compare two database tables which may have different column names but same data. But one of them may have more records than the other one so I want to see what the difference is between those two tables. To do that how to write the sql query ? FYI : these two databases are under the same SQL Server instance.
Table1
------+---------
|name |lastname|
------+---------
|John |rose |
------+---------
|Demy |Sanches |
------+---------
Table2
------+----------
|name2|lastname2|
------+----------
|John |rose |
------+----------
|Demy |Sanches |
------+----------
|Ruby |Core |
------+----------
Then when after comparing table 1 and table 2, it should return Ruby Core from Table2.
Select * from Table1
Except
Select * from Table2
It will show all mismatch records between table1 and table2
Late answer but can be useful to other readers of this thread
Beside other solutions, I can recommend SQL comparison tool called ApexSQL Data Diff.
I know you'd prefer the solution not based on the software, but for other visitors, who may want to do this in an easier way, I strongly suggest reading this article: http://solutioncenter.apexsql.com/how-to-compare-sql-server-database-tables-with-different-names/
The article explains how to use the Object mapping feature in ApexSQL Data Diff, which is particularly useful in situations where two tables share the same name, but their column names are different.
To handle such a case - each column pair needs to be mapped manually in order for the data stored within them to be included when comparing SQL database tables for differences.
If you do an outer join from T1 to T2 you can find rows in the former that are not in the latter by looking for nulls in the T2 values, similarly an outer join of T2 to T1 will give you rows in T2. Union the two together and you get the lot... something like:
SELECT 'Table1' AS TableName, name, lastname FROM
Table1 OUTER JOIN Table2 ON Table1.name = Table2.name2
AND Table1.lastname = Table2.lastname
WHERE Table2.name2 IS NULL
UNION
SELECT 'Table2' AS TableName, name2 as name, lastname2 as lastname FROM
Table2 OUTER JOIN Table1 ON Table2.name2 = Table1.name
AND Table2.lastname2 = Table1.lastname
WHERE Table1.name IS NULL
That's off the top of my head - and I'm a bit rusty :)
If you are using Sql server use a full join. it does exactly the same as Murph said but in one command.
SELECT 'Table1' AS TableName, name, lastname
FROM Table1
FULL JOIN Table2 ON Table1.name = Table2.name2
AND Table1.lastname = Table2.lastname
You could use the CHECKSUM function if you're confident that the data is expressed identically.
Example:
if not OBJECT_ID('Table1', 'Table') is null drop table Table1
if not OBJECT_ID('Table2', 'Table') is null drop table Table2
create table table1
( id int identity(0, 1),
name varchar(128),
lastname varchar(128)
)
create table table2
( id int identity(0, 1),
name varchar(128),
lastname varchar(128)
)
insert into table1 (name, lastname) values ('John', 'rose')
insert into table1 (name, lastname) values ('Demy', 'Sanches')
insert into table2 (name, lastname) values ('John', 'rose')
insert into table2 (name, lastname) values ('Demy', 'Sanches')
insert into table2 (name, lastname) values ('Ruby', 'Core')
select
table2.*
from table1
right outer join table2 on CHECKSUM(table1.name, table1.lastname) = CHECKSUM(table2.name, table2.lastname)
where table1.id is null
See the CHECKSUM MSDN topic for more information.
Try dbForge Data Compare for SQL Server. It can compare and synchronize any database data. Quick, easy, always delivering a correct result. See how it flies on your database!
create table #test
(
Sno INT IDENTITY(1,1),
ExpDate VARCHAR(50),
Amt INT,
Amt1 INT,
Amt2 INT,
SumoAmt INT
)
create table #test1
(
Sno INT IDENTITY(1,1),
ExpDate VARCHAR(50),
Amt INT,
Amt1 INT,
Amt2 INT,
SumoAmt INT
)
INSERT INTO #test(Expdate,Amt,Amt1,Amt2,SumoAmt) values ('30-07-2012',10,20,10,40)
INSERT INTO #test(Expdate,Amt,Amt1,Amt2,SumoAmt) values ('30-07-2012',10,20,20,50)
INSERT INTO #test(Expdate,Amt,Amt1,Amt2,SumoAmt) values ('30-07-2012',10,20,30,60)
INSERT INTO #test(Expdate,Amt,Amt1,Amt2,SumoAmt) values ('30-07-2012',NULL,20,40,70)
INSERT INTO #test1(Expdate,Amt,Amt1,Amt2,SumoAmt) values ('30-07-2012',10,20,10,40)
INSERT INTO #test1(Expdate,Amt,Amt1,Amt2,SumoAmt) values ('30-07-2012',10,20,20,50)
INSERT INTO #test1(Expdate,Amt,Amt1,Amt2,SumoAmt) values ('30-07-2012',10,20,30,60)
INSERT INTO #test1(Expdate,Amt,Amt1,Amt2,SumoAmt) values ('30-07-2012',NULL,20,40,70)
SELECT MIN(TableName) as TableName, Sno,Expdate,Amt,Amt1,Amt2,SumoAmt
FROM
(
SELECT '#test' as TableName,Sno,Expdate,Amt,Amt1,Amt2,SumoAmt
FROM #test
UNION ALL
SELECT '#test1' as TableName,Sno,Expdate,Amt,Amt1,Amt2,SumoAmt
FROM #test1
) tmp
GROUP BY Sno,Expdate,Amt,Amt1,Amt2,SumoAmt
HAVING COUNT(*) = 1
ORDER BY sno
If you want the differences from both the table.
(SELECT *, 'in Table1' AS Comments
FROM Table1
EXCEPT
SELECT * , 'in Table1' AS Comments
FROM Table2)
UNION
(SELECT *, 'in Table2' AS Comments
FROM Table2
EXCEPT
SELECT *, 'in Table2' AS Comments
FROM Table1)
Firefly will do exactly what you're looking for. It lets you build two sql statements then compare the results of the sql queries showing missing rows and data differences. Each query can even come from a different database like oracle / sql server.
http://download.cnet.com/Firefly-Data-Compare-Tool/3000-10254_4-10633690.html?tag=mncol
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