I want to insert multiple rows in a single table. How can I do this using single insert statement?
Wrap each row of values to be inserted in brackets/parenthesis (value1, value2, value3) and separate the brackets/parenthesis by comma for as many as you wish to insert into the table.
INSERT INTO example
VALUES
(100, 'Name 1', 'Value 1', 'Other 1'),
(101, 'Name 2', 'Value 2', 'Other 2'),
(102, 'Name 3', 'Value 3', 'Other 3'),
(103, 'Name 4', 'Value 4', 'Other 4');
You can use SQL Bulk Insert Statement
BULK INSERT TableName
FROM 'filePath'
WITH
(
FIELDTERMINATOR = '','',
ROWTERMINATOR = ''\n'',
ROWS_PER_BATCH = 10000,
FIRSTROW = 2,
TABLOCK
)
for more reference check
https://www.google.co.in/webhp?sourceid=chrome-instant&ion=1&espv=2&ie=UTF-8#q=sql%20bulk%20insert
You Can Also Bulk Insert Your data from Code as well
for that Please check below Link:
http://www.codeproject.com/Articles/439843/Handling-BULK-Data-insert-from-CSV-to-SQL-Server
1--> {Simple Insertion when table column sequence is known}
Insert into Table1
values(1,2,...)
2--> {Simple insertion mention column}
Insert into Table1(col2,col4)
values(1,2)
3--> {bulk insertion when num of selected collumns of a table(#table2) are equal to Insertion table(Table1) }
Insert into Table1 {Column sequence}
Select * -- column sequence should be same.
from #table2
4--> {bulk insertion when you want to insert only into desired column of a table(table1)}
Insert into Table1 (Column1,Column2 ....Desired Column from Table1)
Select Column1,Column2..desired column from #table2
You can use UNION All clause to perform multiple insert in a table.
ex:
INSERT INTO dbo.MyTable (ID, Name)
SELECT 123, 'Timmy'
UNION ALL
SELECT 124, 'Jonny'
UNION ALL
SELECT 125, 'Sally'
Check here
For MSSQL, there are two ways:(Consider you have a 'users' table,below both examples are using this table for example)
1) In case, you need to insert different values in users table. Then you can write statement like:
INSERT INTO USERS VALUES
(2, 'Michael', 'Blythe'),
(3, 'Linda', 'Mitchell'),
(4, 'Jillian', 'Carson'),
(5, 'Garrett', 'Vargas');
2) Another case, if you need to insert same value for all rows(for example, 10 rows you need to insert here). Then you can use below sample statement:
INSERT INTO USERS VALUES
(2, 'Michael', 'Blythe')
GO 10
Hope this helps.
You can use the UNION ALL function
http://blog.sqlauthority.com/2007/06/08/sql-server-insert-multiple-records-using-one-insert-statement-use-of-union-all/
We will import the CSV file into the destination table in the simplest form. I placed my sample CSV file on the C: drive and now we will create a table which we will import data from the CSV file.
DROP TABLE IF EXISTS Sales
CREATE TABLE [dbo].[Sales](
[Region] [varchar](50) ,
[Country] [varchar](50) ,
[ItemType] [varchar](50) NULL,
[SalesChannel] [varchar](50) NULL,
[OrderPriority] [varchar](50) NULL,
[OrderDate] datetime,
[OrderID] bigint NULL,
[ShipDate] datetime,
[UnitsSold] float,
[UnitPrice] float,
[UnitCost] float,
[TotalRevenue] float,
[TotalCost] float,
[TotalProfit] float
)
The following BULK INSERT statement imports the CSV file to the Sales table.
BULK INSERT Sales
FROM 'C:\1500000 Sales Records.csv'
WITH (FIRSTROW = 2,
FIELDTERMINATOR = ',',
ROWTERMINATOR='\n' );
Related
I need to find a particular value contained in the SQL Server HierarchyId column. The value can occur at any level. Here is a sample code to illustrate the issue:
CREATE TABLE mytable
(
Id INT NOT NULL PRIMARY KEY,
TeamName VARCHAR(20) NOT NULL,
MyHierarchyId HIERARCHYID NOT NULL
);
INSERT INTO mytable(Id, TeamName, MyHierarchyId)
VALUES (1, 'Corporate','/1/');
INSERT INTO mytable(Id, TeamName, MyHierarchyId)
VALUES (2, 'Group A','/1/2/');
INSERT INTO mytable(Id, TeamName, MyHierarchyId)
VALUES (3, 'Team X','/1/2/3/');
INSERT INTO mytable(Id, TeamName, MyHierarchyId)
VALUES (4, 'Group B','/1/4/');
INSERT INTO mytable(Id, TeamName, MyHierarchyId)
VALUES (5, 'Team Y','/1/4/5/');
INSERT INTO mytable(Id, TeamName, MyHierarchyId)
VALUES (6, 'Team Z','/1/4/6/');
Now I would like to find all the records, which are associated with the Id = 4. This means records 4, 5 and 6. I could use a brute force methods like this:
SELECT [M].[Id],
[M].[TeamName],
[M].[MyHierarchyId],
[M].[MyHierarchyId].ToString() AS Lineage
FROM [dbo].[mytable] AS [M]
WHERE [M].[MyHierarchyId].ToString() LIKE '%4%'
But I suspect this will be very inefficient. Once again, the problem is that the level of the node I am searching for is not known in advance.
Thank you for any recommendations.
You can use IsDescendantOf()
Select *
from mytable
Where MyHierarchyID.IsDescendantOf( (select MyHierarchyID from mytable where id=4) ) = 1
Results
Id TeamName MyHierarchyId
4 Group B 0x5C20
5 Team Y 0x5C3180
6 Team Z 0x5C3280
I have two tables, tblName and tblCode.
tblName:
CREATE TABLE [dbo].[TblName]
(
[Id] [int] IDENTITY(1,1) NOT NULL,
[Name] [varchar](50) NULL,
CONSTRAINT [PK_TblName]
PRIMARY KEY CLUSTERED ([Id] ASC)
) ON [PRIMARY]
tblCode:
CREATE TABLE [dbo].[tblCode]
(
[NameId] [int] NULL,
[Code] [varchar](50) NULL,
[Value] [varchar](50) NULL
) ON [PRIMARY]
Code:
INSERT INTO [dbo].[TblName]
([Name])
VALUES
('Rahul'),
('Rohit'),
('John'),
('David'),
('Stephen')
GO
INSERT INTO [dbo].[tblCode] ([NameId], [Code], [Value])
VALUES (1, 'DEL', 'Delivery'),
(1, 'DEL', 'Deployment'),
(2, 'REL', 'Release Management'),
(3, 'REL', 'Release Management'),
(4, 'TEST', 'Testing'),
(4, 'TEST', 'Final Testing')
I am trying to write a query to get all Names which are in tblCode with the Code and Value. For example I have NameId 1 present in tblCode with Code 'DEL' and Value as 'Delivery' and 'Deployment'. Similarly I have NameId 2,3 and 4 in tblCode with same or different Code and Value. So I am trying to get output in such a way if same name with same code is present in tblCode then it should come row with Name and Comma separated values as shown in below desired output.
This is they query I am using but its not giving the output I am looking for.
SELECT
N.Name,
CASE
WHEN C.Code = 'DEL'
THEN C.Value
ELSE ''
END As 'CodeValue'
FROM
TblName N
INNER JOIN
tblCode C ON N.Id = C.NameId
WHERE
C.NameId = 1 AND C.Code IN ('DEL', 'REL', 'TEST')
http://sqlfiddle.com/#!6/bdca78/11/0
CREATE TABLE tblName (id INTEGER, name VARCHAR(255));
INSERT INTO tblName VALUES(1, 'Rahul');
INSERT INTO tblName VALUES(2, 'Rohit');
INSERT INTO tblName VALUES(3, 'John');
INSERT INTO tblName VALUES(4, 'David');
INSERT INTO tblName VALUES(5, 'Steven');
CREATE TABLE tblCode(nameId INTEGER, code VARCHAR(255), value VARCHAR(255));
INSERT INTO tblCode VALUES(1, 'DEL', 'Delivery');
INSERT INTO tblCode VALUES(1, 'DEL', 'Development');
INSERT INTO tblCode VALUES(2, 'REL', 'Release Management');
INSERT INTO tblCode VALUES(3, 'REL', 'Release Management');
INSERT INTO tblCode VALUES(4, 'TEST', 'Testing');
INSERT INTO tblCode VALUES(4, 'TEST', 'Final Testing');
SELECT name,
codeValue
FROM
(SELECT tblName.name AS name,
STUFF((SELECT ',' + tblCode.value
FROM tblCode
WHERE tblCode.nameId = tblName.id
FOR XML PATH('')), 1 ,1, '') AS codeValue
FROM tblName) inline_view
WHERE codeValue IS NOT NULL;
Edit
ZoharPeled's solution is correct. This solution returns the name and a comma separated list of value and does not consider the code.
Zohar aggregates the list of value per code, which I think is what's required. OP, if the objective is to aggregate per name per code, including code in the output would make the result set more meaningful.
The following links show the difference, first is my SQL statement, then Zohar's.
My SQL: http://sqlfiddle.com/#!6/94fd0/1/0
Zohar's SQL: http://sqlfiddle.com/#!6/94fd0/2/0
Here is one way to do it:
;WITH CTE AS
(
SELECT DISTINCT
[NameId]
,[Code]
,(
SELECT STUFF(
(SELECT ',' + Value
FROM dbo.tblCode t1
WHERE t0.Code = t1.Code
AND t0.NameId = t1.NameId
FOR XML PATH(''))
, 1, 1, '')
) AS CodeValue
FROM dbo.tblCode t0
)
SELECT Name, CodeValue
FROM tblName
INNER JOIN CTE ON Id = CTE.NameId
ORDER BY Id
Results:
Name CodeValue
Rahul Delivery,Deployment
Rohit Release Management
John Release Management
David Testing,Final Testing
Read this SO post for an explanation on how to use STUFF and FOR XML to create a concatenated string from multiple rows.
You can see a live demo on rextester.
I'm new to SQL so be gentle! I'm working for a charity in London so I'm having a stab at SQL and I've gotten stuck with something you can probably all do with your eyes shut.
I've got a table with rows that I want to update:
It's a table showing up potential duplicate records in our database. There's a stored procedure that creates a criterion field from data on a customer account and if criterion fields from 2 records match, they are flagged as potential duplicates.
We have some known duplicates that we had to create a while ago that have Placeholder as the last name.
The criterion field matches other 'real' records with real last names that we want to keep.
What I want to do is:
update the status of the Placeholder ones to Delete; and the 'real' ones to Keep (even I can totally blitz that!)
update the keep ID field of the Placeholder ones so it's the customer_no field of the row with the matching criterion field
Once that's done, another stored procedure will take it from there.
Help!
Hi Welcome to Stack Overflow.
If I have understood you correctly you need something like this:
declare #customers table(
customer_no int NOT NULL,
matching_criteria varchar(50) NOT NULL,
lname varchar(50) NOT NULL,
keepID int NULL,
[status] varchar(50) NULL);
INSERT INTO #customers VALUES(1, 'a', 'Smith', null, null);
INSERT INTO #customers VALUES(2, 'a', 'Placeholder', null, null);
INSERT INTO #customers VALUES(3, 'b', 'Jones', null, null);
INSERT INTO #customers VALUES(4, 'b', 'Placeholder', null, null);
INSERT INTO #customers VALUES(5, 'c', 'Brown', null, null);
INSERT INTO #customers VALUES(6, 'c', 'Placeholder', null, null);
INSERT INTO #customers VALUES(7, 'd', 'Williams', null, null);
INSERT INTO #customers VALUES(8, 'd', 'Placeholder', null, null);
INSERT INTO #customers VALUES(9, 'e', 'Taylor', null, null);
INSERT INTO #customers VALUES(10, 'e', 'Placeholder', null, null);
SELECT * FROM #customers;
UPDATE #customers set [status] = case lname WHEN 'Placeholder' THEN 'DELETE' ELSE 'Keep' END;
SELECT * FROM #customers;
UPDATE k
SET keepID = d.customer_no
FROM
#customers k
INNER JOIN #customers d
on k.matching_criteria = d.matching_criteria
WHERE d.[status] = 'Delete' AND k.[status] = 'Keep';
SELECT * FROM #customers;
If you are using SQL Server you can paste this in a Query window and observe the results.
Please for future reference tell us which DB you are using, as the answers do vary from db to db. The above is specifically SQL Server. Whilst most dbs will behave similarly, some do not. The above updates on a join. Oracle, for example, does not allow this, so the syntax when using Oracle is different - Oracle can of course achieve the same thing, it just uses different SQL to do so.
I have a requirement with some business rules to implement on SQL (within a PL/SQL block): I need to evaluate such rules and according to the result perform the corresponding update, delete or insert into a target table.
My database model contains a "staging" and a "real" table. The real table stores records inserted in the past and the staging one contains "fresh" data coming from somewhere that needs to be merged into the real one.
Basically these are my business rules:
Delta between staging MINUS real --> Insert rows into the real
Delta between real MINUS staging--> Delete rows from the real
Rows which PK is the same but any other fields different: Update.
(Those "MINUS" will compare ALL the fields to get equality and distinguise the 3rd case)
I haven't figured out the way to accomplish such tasks without overlapping between rules by using a merge statement: Any suggestion for the merge structure? Is it possible to do it all together within the same merge?
Thank you!
If I understand you task correctly following code should do the job:
--drop table real;
--drop table stag;
create table real (
id NUMBER,
col1 NUMBER,
col2 VARCHAR(10)
);
create table stag (
id NUMBER,
col1 NUMBER,
col2 VARCHAR(10)
);
insert into real values (1, 1, 'a');
insert into real values (2, 2, 'b');
insert into real values (3, 3, 'c');
insert into real values (4, 4, 'd');
insert into real values (5, 5, 'e');
insert into real values (6, 6, 'f');
insert into real values (7, 6, 'g'); -- PK the same but at least one column different
insert into real values (8, 7, 'h'); -- PK the same but at least one column different
insert into real values (9, 9, 'i');
insert into real values (10, 10, 'j'); -- in real but not in stag
insert into stag values (1, 1, 'a');
insert into stag values (2, 2, 'b');
insert into stag values (3, 3, 'c');
insert into stag values (4, 4, 'd');
insert into stag values (5, 5, 'e');
insert into stag values (6, 6, 'f');
insert into stag values (7, 7, 'g'); -- PK the same but at least one column different
insert into stag values (8, 8, 'g'); -- PK the same but at least one column different
insert into stag values (9, 9, 'i');
insert into stag values (11, 11, 'k'); -- in stag but not in real
merge into real
using (WITH w_to_change AS (
select *
from (select stag.*, 'I' as action from stag
minus
select real.*, 'I' as action from real
)
union (select real.*, 'D' as action from real
minus
select stag.*, 'D' as action from stag
)
)
, w_group AS (
select id, max(action) as max_action
from w_to_change
group by id
)
select w_to_change.*
from w_to_change
join w_group
on w_to_change.id = w_group.id
and w_to_change.action = w_group.max_action
) tmp
on (real.id = tmp.id)
when matched then
update set real.col1 = tmp.col1, real.col2 = tmp.col2
delete where tmp.action = 'D'
when not matched then
insert (id, col1, col2) values (tmp.id, tmp.col1, tmp.col2);
I have 3 tables with the following schema
create table main (
main_id int PRIMARY KEY,
secondary_id int NOT NULL
);
create table secondary (
secondary_id int NOT NULL,
tags varchar(100)
);
create table bad_words (
words varchar(100) NOT NULL
);
insert into main values (1, 1001);
insert into main values (2, 1002);
insert into main values (3, 1003);
insert into main values (4, 1004);
insert into secondary values (1001, 'good word');
insert into secondary values (1002, 'bad word');
insert into secondary values (1002, 'good word');
insert into secondary values (1002, 'other word');
insert into secondary values (1003, 'ugly');
insert into secondary values (1003, 'bad word');
insert into secondary values (1004, 'pleasant');
insert into secondary values (1004, 'nice');
insert into bad_words values ('bad word');
insert into bad_words values ('ugly');
insert into bad_words values ('worst');
expected output
----------------
1, 1000, good word, 0 (boolean flag indicating whether the tags contain any one of the words from the bad_words table)
2, 1001, bad word,good word,other word , 1
3, 1002, ugly,bad word, 1
4, 1003, pleasant,nice, 0
I am trying to use case to select 1 or 0 for the last column and use a join to join the main and secondary table, but getting confused and stuck. Can someone please help me with a query ? These tables are stored in redshift and i want query compatible with redshift.
you can use the above schema to try your query in sqlfiddle
EDIT: I have updated the schema and expected output now by removing the PRIMARY KEY in secondary table so that easier to join with the bad_words table.
You can use EXISTS and a regex comparison with \m and \M (markers for beginning and end of a word, respectively):
with
main(main_id, secondary_id) as (values (1, 1000), (2, 1001), (3, 1002), (4, 1003)),
secondary(secondary_id, tags) as (values (1000, 'very good words'), (1001, 'good and bad words'), (1002, 'ugly'),(1003, 'pleasant')),
bad_words(words) as (values ('bad'), ('ugly'), ('worst'))
select *, exists (select 1 from bad_words where s.tags ~* ('\m'||words||'\M'))::int as flag
from main m
join secondary s using (secondary_id)
select main_id, a.secondary_id, tags, case when c.words is not null then 1 else 0 end
from main a
join secondary b on b.secondary_id = a.secondary_id
left outer join bad_words c on c.words like b.tags
SELECT m.main_id, m.secondary_id, t.tags, t.is_bad_word
FROM srini.main m
JOIN (
SELECT st.secondary_id, st.tags, exists (select 1 from srini.bad_words b where st.tags like '%'+b.words+'%') is_bad_word
FROM
( SELECT secondary_id, LISTAGG(tags, ',') as tags
FROM srini.secondary
GROUP BY secondary_id ) st
) t on t.secondary_id = m.secondary_id;
This worked for me in redshift and produced the following output with the above mentioned schema.
1 1001 good word false
3 1003 ugly,bad word true
2 1002 good word,other word,bad word true
4 1004 pleasant,nice false