I am coding with Python 3.8.5, and mysql Ver 15.1 Distrib 10.4.11-MariaDB.
I have three tables, customer, partner and customer_partner,
customer has columns customer_id, customer_name, address;
partner has columns partner_id, partner_name, address; (note the address column appears in both tables, but obviously different content)
customer_partner has columns customer_id, partner_id, describing the partnership between one customer and one partner;
I am trying to fetch joined columns of customer and partner for customers whose customer_id is in a list with following python code and SQL statement:
db = connect(...)
cur = db.cursor(dictionary=True)
customer_id_tuple = (1, 2, 3)
sql = f"""SELECT *
FROM customer, partner, customer_partner
WHERE
customer.customer_id in ({','.join(['%s' for _ in range(len(customer_id_list))])})
AND customer.customer_id=customer_partner.customer_id
AND customer_partner.partner_id=partner.partner_id
"""
cur.execute(sql, customer_id_tuple))
data = cur.fetchall()
In the result dictionary data, I only see one address column. Obviously, address from partner table overwrites the one from customer table.
Besides modifying the column names, do I have a more decent way to avoid such overwriting behavior? Like automatically inserting the table name in front of the column name, like customer.address and partner.address?
SELECT * ... may lead to ambiguities when there are conflicting column names.
You should set aliases for conflicting column names.
Also set short aliases for the table names that can shorten the code and make it more readable and use them to qualify all the column names.
The implicit join syntax that you use has been replaced, since many years, by explicit join syntax.
Your code should be written like this:
sql = f"""
SELECT c.customer_id, c.customer_name, c.address customer_address,
p.partner_id, p.partner_name, p.address partner_address
FROM customer c
INNER JOIN customer_partner cp ON c.customer_id = cp.customer_id
INNER JOIN partner p ON cp.partner_id = p.partner_id
WHERE c.customer_id IN ({','.join(['%s' for _ in range(len(customer_id_list))])})
"""
I left out all the columns of customer_partner from the SELECT list because they are not needed.
I am trying to INSERT INTO a table using the input from another table. Although this is entirely feasible for many database engines, I always seem to struggle to remember the correct syntax for the SQL engine of the day (MySQL, Oracle, SQL Server, Informix, and DB2).
Is there a silver-bullet syntax coming from an SQL standard (for example, SQL-92) that would allow me to insert the values without worrying about the underlying database?
Try:
INSERT INTO table1 ( column1 )
SELECT col1
FROM table2
This is standard ANSI SQL and should work on any DBMS
It definitely works for:
Oracle
MS SQL Server
MySQL
Postgres
SQLite v3
Teradata
DB2
Sybase
Vertica
HSQLDB
H2
AWS RedShift
SAP HANA
Google Spanner
Claude Houle's answer: should work fine, and you can also have multiple columns and other data as well:
INSERT INTO table1 ( column1, column2, someInt, someVarChar )
SELECT table2.column1, table2.column2, 8, 'some string etc.'
FROM table2
WHERE table2.ID = 7;
I've only used this syntax with Access, SQL 2000/2005/Express, MySQL, and PostgreSQL, so those should be covered. It should also work with SQLite3.
To get only one value in a multi value INSERT from another table I did the following in SQLite3:
INSERT INTO column_1 ( val_1, val_from_other_table )
VALUES('val_1', (SELECT val_2 FROM table_2 WHERE val_2 = something))
Both the answers I see work fine in Informix specifically, and are basically standard SQL. That is, the notation:
INSERT INTO target_table[(<column-list>)] SELECT ... FROM ...;
works fine with Informix and, I would expect, all the DBMS. (Once upon 5 or more years ago, this is the sort of thing that MySQL did not always support; it now has decent support for this sort of standard SQL syntax and, AFAIK, it would work OK on this notation.) The column list is optional but indicates the target columns in sequence, so the first column of the result of the SELECT will go into the first listed column, etc. In the absence of the column list, the first column of the result of the SELECT goes into the first column of the target table.
What can be different between systems is the notation used to identify tables in different databases - the standard has nothing to say about inter-database (let alone inter-DBMS) operations. With Informix, you can use the following notation to identify a table:
[dbase[#server]:][owner.]table
That is, you may specify a database, optionally identifying the server that hosts that database if it is not in the current server, followed by an optional owner, dot, and finally the actual table name. The SQL standard uses the term schema for what Informix calls the owner. Thus, in Informix, any of the following notations could identify a table:
table
"owner".table
dbase:table
dbase:owner.table
dbase#server:table
dbase#server:owner.table
The owner in general does not need to be quoted; however, if you do use quotes, you need to get the owner name spelled correctly - it becomes case-sensitive. That is:
someone.table
"someone".table
SOMEONE.table
all identify the same table. With Informix, there's a mild complication with MODE ANSI databases, where owner names are generally converted to upper-case (informix is the exception). That is, in a MODE ANSI database (not commonly used), you could write:
CREATE TABLE someone.table ( ... )
and the owner name in the system catalog would be "SOMEONE", rather than 'someone'. If you enclose the owner name in double quotes, it acts like a delimited identifier. With standard SQL, delimited identifiers can be used many places. With Informix, you can use them only around owner names -- in other contexts, Informix treats both single-quoted and double-quoted strings as strings, rather than separating single-quoted strings as strings and double-quoted strings as delimited identifiers. (Of course, just for completeness, there is an environment variable, DELIMIDENT, that can be set - to any value, but Y is safest - to indicate that double quotes always surround delimited identifiers and single quotes always surround strings.)
Note that MS SQL Server manages to use [delimited identifiers] enclosed in square brackets. It looks weird to me, and is certainly not part of the SQL standard.
Two approaches for insert into with select sub-query.
With SELECT subquery returning results with One row.
With SELECT subquery returning results with Multiple rows.
1. Approach for With SELECT subquery returning results with one row.
INSERT INTO <table_name> (<field1>, <field2>, <field3>)
VALUES ('DUMMY1', (SELECT <field> FROM <table_name> ),'DUMMY2');
In this case, it assumes SELECT Sub-query returns only one row of result based on WHERE condition or SQL aggregate functions like SUM, MAX, AVG etc. Otherwise it will throw error
2. Approach for With SELECT subquery returning results with multiple rows.
INSERT INTO <table_name> (<field1>, <field2>, <field3>)
SELECT 'DUMMY1', <field>, 'DUMMY2' FROM <table_name>;
The second approach will work for both the cases.
To add something in the first answer, when we want only few records from another table (in this example only one):
INSERT INTO TABLE1
(COLUMN1, COLUMN2, COLUMN3, COLUMN4)
VALUES (value1, value2,
(SELECT COLUMN_TABLE2
FROM TABLE2
WHERE COLUMN_TABLE2 like "blabla"),
value4);
Instead of VALUES part of INSERT query, just use SELECT query as below.
INSERT INTO table1 ( column1 , 2, 3... )
SELECT col1, 2, 3... FROM table2
Most of the databases follow the basic syntax,
INSERT INTO TABLE_NAME
SELECT COL1, COL2 ...
FROM TABLE_YOU_NEED_TO_TAKE_FROM
;
Every database I have used follow this syntax namely, DB2, SQL Server, MY SQL, PostgresQL
This can be done without specifying the columns in the INSERT INTO part if you are supplying values for all columns in the SELECT part.
Let's say table1 has two columns. This query should work:
INSERT INTO table1
SELECT col1, col2
FROM table2
This WOULD NOT work (value for col2 is not specified):
INSERT INTO table1
SELECT col1
FROM table2
I'm using MS SQL Server. I don't know how other RDMS work.
This is another example using values with select:
INSERT INTO table1(desc, id, email)
SELECT "Hello World", 3, email FROM table2 WHERE ...
Just use parenthesis for SELECT clause into INSERT. For example like this :
INSERT INTO Table1 (col1, col2, your_desired_value_from_select_clause, col3)
VALUES (
'col1_value',
'col2_value',
(SELECT col_Table2 FROM Table2 WHERE IdTable2 = 'your_satisfied_value_for_col_Table2_selected'),
'col3_value'
);
Simple insertion when table column sequence is known:
Insert into Table1
values(1,2,...)
Simple insertion mentioning column:
Insert into Table1(col2,col4)
values(1,2)
Bulk insertion when number of selected columns of a table(#table2) are equal to insertion table(Table1)
Insert into Table1 {Column sequence}
Select * -- column sequence should be same.
from #table2
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
from #table2
Here is another example where source is taken using more than one table:
INSERT INTO cesc_pf_stmt_ext_wrk(
PF_EMP_CODE ,
PF_DEPT_CODE ,
PF_SEC_CODE ,
PF_PROL_NO ,
PF_FM_SEQ ,
PF_SEQ_NO ,
PF_SEP_TAG ,
PF_SOURCE)
SELECT
PFl_EMP_CODE ,
PFl_DEPT_CODE ,
PFl_SEC ,
PFl_PROL_NO ,
PF_FM_SEQ ,
PF_SEQ_NO ,
PFl_SEP_TAG ,
PF_SOURCE
FROM cesc_pf_stmt_ext,
cesc_pfl_emp_master
WHERE pfl_sep_tag LIKE '0'
AND pfl_emp_code=pf_emp_code(+);
COMMIT;
Here's how to insert from multiple tables. This particular example is where you have a mapping table in a many to many scenario:
insert into StudentCourseMap (StudentId, CourseId)
SELECT Student.Id, Course.Id FROM Student, Course
WHERE Student.Name = 'Paddy Murphy' AND Course.Name = 'Basket weaving for beginners'
(I realise matching on the student name might return more than one value but you get the idea. Matching on something other than an Id is necessary when the Id is an Identity column and is unknown.)
You could try this if you want to insert all column using SELECT * INTO table.
SELECT *
INTO Table2
FROM Table1;
I actually prefer the following in SQL Server 2008:
SELECT Table1.Column1, Table1.Column2, Table2.Column1, Table2.Column2, 'Some String' AS SomeString, 8 AS SomeInt
INTO Table3
FROM Table1 INNER JOIN Table2 ON Table1.Column1 = Table2.Column3
It eliminates the step of adding the Insert () set, and you just select which values go in the table.
This worked for me:
insert into table1 select * from table2
The sentence is a bit different from Oracle's.
INSERT INTO yourtable
SELECT fielda, fieldb, fieldc
FROM donortable;
This works on all DBMS
For Microsoft SQL Server, I will recommend learning to interpret the SYNTAX provided on MSDN. With Google it's easier than ever, to look for syntax.
For this particular case, try
Google: insert site:microsoft.com
The first result will be http://msdn.microsoft.com/en-us/library/ms174335.aspx
scroll down to the example ("Using the SELECT and EXECUTE options to insert data from other tables") if you find it difficult to interpret the syntax given at the top of the page.
[ WITH <common_table_expression> [ ,...n ] ]
INSERT
{
[ TOP ( expression ) [ PERCENT ] ]
[ INTO ]
{ <object> | rowset_function_limited
[ WITH ( <Table_Hint_Limited> [ ...n ] ) ]
}
{
[ ( column_list ) ]
[ <OUTPUT Clause> ]
{ VALUES ( { DEFAULT | NULL | expression } [ ,...n ] ) [ ,...n ]
| derived_table <<<<------- Look here ------------------------
| execute_statement <<<<------- Look here ------------------------
| <dml_table_source> <<<<------- Look here ------------------------
| DEFAULT VALUES
}
}
}
[;]
This should be applicable for any other RDBMS available there. There is no point in remembering all the syntax for all products IMO.
INSERT INTO FIRST_TABLE_NAME (COLUMN_NAME)
SELECT COLUMN_NAME
FROM ANOTHER_TABLE_NAME
WHERE CONDITION;
Best way to insert multiple records from any other tables.
INSERT INTO dbo.Users
( UserID ,
Full_Name ,
Login_Name ,
Password
)
SELECT UserID ,
Full_Name ,
Login_Name ,
Password
FROM Users_Table
(INNER JOIN / LEFT JOIN ...)
(WHERE CONDITION...)
(OTHER CLAUSE)
select *
into tmp
from orders
Looks nice, but works only if tmp doesn't exists (creates it and fills). (SQL sever)
To insert into existing tmp table:
set identity_insert tmp on
insert tmp
([OrderID]
,[CustomerID]
,[EmployeeID]
,[OrderDate]
,[RequiredDate]
,[ShippedDate]
,[ShipVia]
,[Freight]
,[ShipName]
,[ShipAddress]
,[ShipCity]
,[ShipRegion]
,[ShipPostalCode]
,[ShipCountry] )
select * from orders
set identity_insert tmp off
IF you want to insert some data into a table without want to write column name.
INSERT INTO CUSTOMER_INFO
(SELECT CUSTOMER_NAME,
MOBILE_NO,
ADDRESS
FROM OWNER_INFO cm)
Where the tables are:
CUSTOMER_INFO || OWNER_INFO
----------------------------------------||-------------------------------------
CUSTOMER_NAME | MOBILE_NO | ADDRESS || CUSTOMER_NAME | MOBILE_NO | ADDRESS
--------------|-----------|--------- || --------------|-----------|---------
A | +1 | DC || B | +55 | RR
Result:
CUSTOMER_INFO || OWNER_INFO
----------------------------------------||-------------------------------------
CUSTOMER_NAME | MOBILE_NO | ADDRESS || CUSTOMER_NAME | MOBILE_NO | ADDRESS
--------------|-----------|--------- || --------------|-----------|---------
A | +1 | DC || B | +55 | RR
B | +55 | RR ||
If you go the INSERT VALUES route to insert multiple rows, make sure to delimit the VALUES into sets using parentheses, so:
INSERT INTO `receiving_table`
(id,
first_name,
last_name)
VALUES
(1002,'Charles','Babbage'),
(1003,'George', 'Boole'),
(1001,'Donald','Chamberlin'),
(1004,'Alan','Turing'),
(1005,'My','Widenius');
Otherwise MySQL objects that "Column count doesn't match value count at row 1", and you end up writing a trivial post when you finally figure out what to do about it.
If you create table firstly you can use like this;
select * INTO TableYedek From Table
This metot insert values but differently with creating new copy table.
In informix it works as Claude said:
INSERT INTO table (column1, column2)
VALUES (value1, value2);
Postgres supports next:
create table company.monitor2 as select * from company.monitor;
Sqlite table structure:
id sno
1 100
2 200
3 300
4 400
conn=sqlite3.connect('test.sqlite')
c=conn.cursor()
c.execute("select * from abc")
mysel=c.execute("select * from abc where [id] = 1 ")
out put is:
1 100
its not printing id and sno i.e the First line of the table
how i can print First Line of table along with any kind of selection
please help
ID and sno are not data, they are part of your table structure (the column names).
If you want to get the names of the columns you need to do something like
connection = sqllite3.connect('test.sqlite')
cursor = connection.execute('select * from abc')
names = list(map(lambda x: x[0], cursor.description))
There isn't really a 'first line' containing the column names, that's just something the command line client prints out by default to help you read the returned records.
A dbapi2 conforming cursor has an attribute description, which is a list of tuples containing information about the data returned by the last query. The first element of each tuple will be the name of the column, so to print the column names, you can do something similar to:
c.execute("select * from abc")
print(tuple(d[0] for d in c.description))
for row in c:
print(row)
This will just print a tuple representation of the names and the records.
If you want to obtain details on the table you can use the following statement
PRAGMA table_info('[your table name]')
This will return a list of tuple with each tuple containing informations about a column
You will still have to add it to the data collected using the SELECT statement
When you write ... WHERE id = 1, you get only that particular record.
If you want to also get the first record, you have to tell SQLite that you want it:
SELECT id, sno FROM abc WHERE id = 'id'
UNION ALL
SELECT id, sno FROM abc WHERE id = 1
And when you already know what this particular subquery returns, you do not even need to bother with searching the table (and thus do not need to actually store the column names in the table):
SELECT 'id', 'sno'
UNION ALL
SELECT id, sno FROM abc WHERE id = 1
Suppose I have many columns. If 2 columns match and are exactly the same, then they are duplicates.
ID | title | link | size | author
Suppose if link and size are similar for 2 rows or more, then those rows are duplicates.
How do I get those duplicates into a list and process them?
Will return all records that have dups:
SELECT theTable.*
FROM theTable
INNER JOIN (
SELECT link, size
FROM theTable
GROUP BY link, size
HAVING count(ID) > 1
) dups ON theTable.link = dups.link AND theTable.size = dups.size
I like the subquery b/c I can do things like select all but the first or last. (very easy to turn into a delete query then).
Example: select all duplicate records EXCEPT the one with the max ID:
SELECT theTable.*
FROM theTable
INNER JOIN (
SELECT link, size, max(ID) as maxID
FROM theTable
GROUP BY link, size
HAVING count(ID) > 1
) dups ON theTable.link = dups.link
AND theTable.size = dups.size
AND theTable.ID <> dups.maxID
Assuming that none of id, link or size can be NULL, and id field is the primary key. This gives you the id's of duplicate rows. Beware that same id can be in the results several times, if there are three or more rows with identical link and size values.
select a.id, b.id
from tbl a, tbl b
where a.id < b.id
and a.link = b.link
and a.size = b.size
After you remove the duplicates from the MySQL table, you can add a unique index
to the table so no more duplicates can be inserted:
create unique index theTable_index on theTable (link,size);
If you want to do it exclusively in SQL, some kind of self-join of the table (on equality of link and size) is required, and can be accompanied by different kinds of elaboration. Since you mention Python as well, I assume you want to do the processing in Python; in that case, simplest is to build an iterator on a 'SELECT * FROM thetable ORDER BY link, size, and process withitertools.groupbyusing, as key, theoperator.itemgetter` for those two fields; this will present natural groupings of each bunch of 1+ rows with identical values for the fields in question.
I can elaborate on either option if you clarify where you want to do your processing and ideally provide an example of the kind of processing you DO want to perform!