Related
I want to add a row to a database table, but if a row exists with the same unique key I want to update the row.
For example:
INSERT INTO table_name (ID, NAME, AGE) VALUES(1, "A", 19);
Let’s say the unique key is ID, and in my Database, there is a row with ID = 1. In that case, I want to update that row with these values. Normally this gives an error.
If I use INSERT IGNORE it will ignore the error, but it still won’t update.
Use INSERT ... ON DUPLICATE KEY UPDATE
QUERY:
INSERT INTO table (id, name, age) VALUES(1, "A", 19) ON DUPLICATE KEY UPDATE
name="A", age=19
Check out REPLACE:
REPLACE works exactly like INSERT, except that if an old row in the table has the same value as a new row for a PRIMARY KEY or a UNIQUE index, the old row is deleted before the new row is inserted.
Example:
REPLACE INTO `tablename` (`id`, `name`, `age`) VALUES (1, "A", 19)
When using batch insert use the following syntax:
INSERT INTO TABLE (id, name, age) VALUES (1, "A", 19), (2, "B", 17), (3, "C", 22)
ON DUPLICATE KEY UPDATE
name = VALUES (name),
...
Any of these solution will work regarding your question:
INSERT IGNORE INTO table (id, name, age) VALUES (1, "A", 19);
or
INSERT INTO TABLE (id, name, age) VALUES(1, "A", 19)
ON DUPLICATE KEY UPDATE NAME = "A", AGE = 19;
or
REPLACE INTO table (id, name, age) VALUES(1, "A", 19);
Try this:
INSERT INTO table (id,name,age) VALUES('1','Mohammad','21') ON DUPLICATE KEY UPDATE name='Mohammad',age='21'
Note:
Here if id is the primary key then after first insertion with id='1' every time attempt to insert id='1' will update name and age and previous name age will change.
Try this out:
INSERT INTO table (id, name, age) VALUES (1, 'A', 19) ON DUPLICATE KEY UPDATE id = id + 1;
Hope this helps.
In case that you wanted to make a non-primary fields as criteria/condition for ON DUPLICATE, you can make a UNIQUE INDEX key on that table to trigger the DUPLICATE.
ALTER TABLE `table` ADD UNIQUE `unique_index`(`name`);
And in case you want to combine two fields to make it unique on the table, you can achieve this by adding more on the last parameter.
ALTER TABLE `table` ADD UNIQUE `unique_index`(`name`, `age`);
Note, just make sure to delete first all the data that has the same name and age value across the other rows.
DELETE table FROM table AS a, table AS b WHERE a.id < b.id
AND a.name <=> b.name AND a.age <=> b.age;
After that, it should trigger the ON DUPLICATE event.
INSERT INTO table (id, name, age) VALUES(1, "A", 19) ON DUPLICATE KEY UPDATE
name = VALUES(name), age = VALUES(age)
Just because I was here looking for this solution but for updating from another identically-structured table (in my case website test DB to live DB):
INSERT live-db.table1
SELECT *
FROM test-db.table1 t
ON DUPLICATE KEY UPDATE
ColToUpdate1 = t.ColToUpdate1,
ColToUpdate2 = t.ColToUpdate2,
...
As mentioned elsewhere, only the columns you want to update need to be included after ON DUPLICATE KEY UPDATE.
No need to list the columns in the INSERT or SELECT, though I agree it's probably better practice.
When using SQLite:
REPLACE into table (id, name, age) values(1, "A", 19)
Provided that id is the primary key. Or else it just inserts another row. See INSERT (SQLite).
In case, you want to keep old field (For ex: name). The query will be:
INSERT INTO table (id, name, age) VALUES(1, "A", 19) ON DUPLICATE KEY UPDATE
name=name, age=19;
In my case i created below queries but in the first query if id 1 is already exists and age is already there, after that if you create first query without age than the value of age will be none
REPLACE into table SET `id` = 1, `name` = 'A', `age` = 19
for avoiding above issue create query like below
INSERT INTO table SET `id` = '1', `name` = 'A', `age` = 19 ON DUPLICATE KEY UPDATE `id` = "1", `name` = "A",`age` = 19
may it will help you ...
Following are some of the possible approaches:
Using INSERT INTO
The INSERT statement allows you to insert one or more rows into a table
First, specify the table name and a list of comma-separated columns inside parentheses after the INSERT INTO clause.
Secondly, put a comma-separated list of values of the corresponding columns inside the parentheses following the VALUES keyword.
INSERT INTO table_name(column_name1, column_name2, column_name3) VALUES("col_value_1", "col_value_2", "col_value_3");
Using INSERT INTO with WHERE NOT EXISTS clause
INSERT INTO table_name (column_name_1, column_name_2, column_name_3)
SELECT * FROM (SELECT "col_value_1", "col_value_2","col_value_3") AS tmp_name
WHERE NOT EXISTS (
SELECT column_name2 FROM table_name WHERE column_name = "sample_name"
) LIMIT 1;
Using REPLACE INTO
REPLACE works exactly like INSERT, except that if an old row in the table has the same value as a new row for a PRIMARY KEY or a UNIQUE index, the old row is deleted before the new row is inserted.
REPLACE INTO table_name(column_name1, column_name2, column_name3) VALUES("col_value_1", "col_value_2", "col_value_3");
I want to add a row to a database table, but if a row exists with the same unique key I want to update the row.
For example:
INSERT INTO table_name (ID, NAME, AGE) VALUES(1, "A", 19);
Let’s say the unique key is ID, and in my Database, there is a row with ID = 1. In that case, I want to update that row with these values. Normally this gives an error.
If I use INSERT IGNORE it will ignore the error, but it still won’t update.
Use INSERT ... ON DUPLICATE KEY UPDATE
QUERY:
INSERT INTO table (id, name, age) VALUES(1, "A", 19) ON DUPLICATE KEY UPDATE
name="A", age=19
Check out REPLACE:
REPLACE works exactly like INSERT, except that if an old row in the table has the same value as a new row for a PRIMARY KEY or a UNIQUE index, the old row is deleted before the new row is inserted.
Example:
REPLACE INTO `tablename` (`id`, `name`, `age`) VALUES (1, "A", 19)
When using batch insert use the following syntax:
INSERT INTO TABLE (id, name, age) VALUES (1, "A", 19), (2, "B", 17), (3, "C", 22)
ON DUPLICATE KEY UPDATE
name = VALUES (name),
...
Any of these solution will work regarding your question:
INSERT IGNORE INTO table (id, name, age) VALUES (1, "A", 19);
or
INSERT INTO TABLE (id, name, age) VALUES(1, "A", 19)
ON DUPLICATE KEY UPDATE NAME = "A", AGE = 19;
or
REPLACE INTO table (id, name, age) VALUES(1, "A", 19);
Try this:
INSERT INTO table (id,name,age) VALUES('1','Mohammad','21') ON DUPLICATE KEY UPDATE name='Mohammad',age='21'
Note:
Here if id is the primary key then after first insertion with id='1' every time attempt to insert id='1' will update name and age and previous name age will change.
Try this out:
INSERT INTO table (id, name, age) VALUES (1, 'A', 19) ON DUPLICATE KEY UPDATE id = id + 1;
Hope this helps.
In case that you wanted to make a non-primary fields as criteria/condition for ON DUPLICATE, you can make a UNIQUE INDEX key on that table to trigger the DUPLICATE.
ALTER TABLE `table` ADD UNIQUE `unique_index`(`name`);
And in case you want to combine two fields to make it unique on the table, you can achieve this by adding more on the last parameter.
ALTER TABLE `table` ADD UNIQUE `unique_index`(`name`, `age`);
Note, just make sure to delete first all the data that has the same name and age value across the other rows.
DELETE table FROM table AS a, table AS b WHERE a.id < b.id
AND a.name <=> b.name AND a.age <=> b.age;
After that, it should trigger the ON DUPLICATE event.
INSERT INTO table (id, name, age) VALUES(1, "A", 19) ON DUPLICATE KEY UPDATE
name = VALUES(name), age = VALUES(age)
Just because I was here looking for this solution but for updating from another identically-structured table (in my case website test DB to live DB):
INSERT live-db.table1
SELECT *
FROM test-db.table1 t
ON DUPLICATE KEY UPDATE
ColToUpdate1 = t.ColToUpdate1,
ColToUpdate2 = t.ColToUpdate2,
...
As mentioned elsewhere, only the columns you want to update need to be included after ON DUPLICATE KEY UPDATE.
No need to list the columns in the INSERT or SELECT, though I agree it's probably better practice.
When using SQLite:
REPLACE into table (id, name, age) values(1, "A", 19)
Provided that id is the primary key. Or else it just inserts another row. See INSERT (SQLite).
In case, you want to keep old field (For ex: name). The query will be:
INSERT INTO table (id, name, age) VALUES(1, "A", 19) ON DUPLICATE KEY UPDATE
name=name, age=19;
In my case i created below queries but in the first query if id 1 is already exists and age is already there, after that if you create first query without age than the value of age will be none
REPLACE into table SET `id` = 1, `name` = 'A', `age` = 19
for avoiding above issue create query like below
INSERT INTO table SET `id` = '1', `name` = 'A', `age` = 19 ON DUPLICATE KEY UPDATE `id` = "1", `name` = "A",`age` = 19
may it will help you ...
Following are some of the possible approaches:
Using INSERT INTO
The INSERT statement allows you to insert one or more rows into a table
First, specify the table name and a list of comma-separated columns inside parentheses after the INSERT INTO clause.
Secondly, put a comma-separated list of values of the corresponding columns inside the parentheses following the VALUES keyword.
INSERT INTO table_name(column_name1, column_name2, column_name3) VALUES("col_value_1", "col_value_2", "col_value_3");
Using INSERT INTO with WHERE NOT EXISTS clause
INSERT INTO table_name (column_name_1, column_name_2, column_name_3)
SELECT * FROM (SELECT "col_value_1", "col_value_2","col_value_3") AS tmp_name
WHERE NOT EXISTS (
SELECT column_name2 FROM table_name WHERE column_name = "sample_name"
) LIMIT 1;
Using REPLACE INTO
REPLACE works exactly like INSERT, except that if an old row in the table has the same value as a new row for a PRIMARY KEY or a UNIQUE index, the old row is deleted before the new row is inserted.
REPLACE INTO table_name(column_name1, column_name2, column_name3) VALUES("col_value_1", "col_value_2", "col_value_3");
I want to add a row to a database table, but if a row exists with the same unique key I want to update the row.
For example:
INSERT INTO table_name (ID, NAME, AGE) VALUES(1, "A", 19);
Let’s say the unique key is ID, and in my Database, there is a row with ID = 1. In that case, I want to update that row with these values. Normally this gives an error.
If I use INSERT IGNORE it will ignore the error, but it still won’t update.
Use INSERT ... ON DUPLICATE KEY UPDATE
QUERY:
INSERT INTO table (id, name, age) VALUES(1, "A", 19) ON DUPLICATE KEY UPDATE
name="A", age=19
Check out REPLACE:
REPLACE works exactly like INSERT, except that if an old row in the table has the same value as a new row for a PRIMARY KEY or a UNIQUE index, the old row is deleted before the new row is inserted.
Example:
REPLACE INTO `tablename` (`id`, `name`, `age`) VALUES (1, "A", 19)
When using batch insert use the following syntax:
INSERT INTO TABLE (id, name, age) VALUES (1, "A", 19), (2, "B", 17), (3, "C", 22)
ON DUPLICATE KEY UPDATE
name = VALUES (name),
...
Any of these solution will work regarding your question:
INSERT IGNORE INTO table (id, name, age) VALUES (1, "A", 19);
or
INSERT INTO TABLE (id, name, age) VALUES(1, "A", 19)
ON DUPLICATE KEY UPDATE NAME = "A", AGE = 19;
or
REPLACE INTO table (id, name, age) VALUES(1, "A", 19);
Try this:
INSERT INTO table (id,name,age) VALUES('1','Mohammad','21') ON DUPLICATE KEY UPDATE name='Mohammad',age='21'
Note:
Here if id is the primary key then after first insertion with id='1' every time attempt to insert id='1' will update name and age and previous name age will change.
Try this out:
INSERT INTO table (id, name, age) VALUES (1, 'A', 19) ON DUPLICATE KEY UPDATE id = id + 1;
Hope this helps.
In case that you wanted to make a non-primary fields as criteria/condition for ON DUPLICATE, you can make a UNIQUE INDEX key on that table to trigger the DUPLICATE.
ALTER TABLE `table` ADD UNIQUE `unique_index`(`name`);
And in case you want to combine two fields to make it unique on the table, you can achieve this by adding more on the last parameter.
ALTER TABLE `table` ADD UNIQUE `unique_index`(`name`, `age`);
Note, just make sure to delete first all the data that has the same name and age value across the other rows.
DELETE table FROM table AS a, table AS b WHERE a.id < b.id
AND a.name <=> b.name AND a.age <=> b.age;
After that, it should trigger the ON DUPLICATE event.
INSERT INTO table (id, name, age) VALUES(1, "A", 19) ON DUPLICATE KEY UPDATE
name = VALUES(name), age = VALUES(age)
Just because I was here looking for this solution but for updating from another identically-structured table (in my case website test DB to live DB):
INSERT live-db.table1
SELECT *
FROM test-db.table1 t
ON DUPLICATE KEY UPDATE
ColToUpdate1 = t.ColToUpdate1,
ColToUpdate2 = t.ColToUpdate2,
...
As mentioned elsewhere, only the columns you want to update need to be included after ON DUPLICATE KEY UPDATE.
No need to list the columns in the INSERT or SELECT, though I agree it's probably better practice.
When using SQLite:
REPLACE into table (id, name, age) values(1, "A", 19)
Provided that id is the primary key. Or else it just inserts another row. See INSERT (SQLite).
In case, you want to keep old field (For ex: name). The query will be:
INSERT INTO table (id, name, age) VALUES(1, "A", 19) ON DUPLICATE KEY UPDATE
name=name, age=19;
In my case i created below queries but in the first query if id 1 is already exists and age is already there, after that if you create first query without age than the value of age will be none
REPLACE into table SET `id` = 1, `name` = 'A', `age` = 19
for avoiding above issue create query like below
INSERT INTO table SET `id` = '1', `name` = 'A', `age` = 19 ON DUPLICATE KEY UPDATE `id` = "1", `name` = "A",`age` = 19
may it will help you ...
Following are some of the possible approaches:
Using INSERT INTO
The INSERT statement allows you to insert one or more rows into a table
First, specify the table name and a list of comma-separated columns inside parentheses after the INSERT INTO clause.
Secondly, put a comma-separated list of values of the corresponding columns inside the parentheses following the VALUES keyword.
INSERT INTO table_name(column_name1, column_name2, column_name3) VALUES("col_value_1", "col_value_2", "col_value_3");
Using INSERT INTO with WHERE NOT EXISTS clause
INSERT INTO table_name (column_name_1, column_name_2, column_name_3)
SELECT * FROM (SELECT "col_value_1", "col_value_2","col_value_3") AS tmp_name
WHERE NOT EXISTS (
SELECT column_name2 FROM table_name WHERE column_name = "sample_name"
) LIMIT 1;
Using REPLACE INTO
REPLACE works exactly like INSERT, except that if an old row in the table has the same value as a new row for a PRIMARY KEY or a UNIQUE index, the old row is deleted before the new row is inserted.
REPLACE INTO table_name(column_name1, column_name2, column_name3) VALUES("col_value_1", "col_value_2", "col_value_3");
I have a table with 3 columns - id (pk), pageId (fk), name. I have a php script which dumps about 5000 records into the table, with about half being duplicates, with same pageId and name. Combination of pageId and name should be unique. What is the best way to prevent duplicates being saved to the table as I loop through the script in php?
First step would be to set a unique key on the table:
ALTER TABLE thetable ADD UNIQUE INDEX(pageid, name);
Then you have to decide what you want to do when there's a duplicate. Should you:
ignore it?
INSERT IGNORE INTO thetable (pageid, name) VALUES (1, "foo"), (1, "foo");
Overwrite the previously entered record?
INSERT INTO thetable (pageid, name, somefield)
VALUES (1, "foo", "first")
ON DUPLICATE KEY UPDATE (somefield = 'first')
INSERT INTO thetable (pageid, name, somefield)
VALUES (1, "foo", "second")
ON DUPLICATE KEY UPDATE (somefield = 'second')
Update some counter?
INSERT INTO thetable (pageid, name)
VALUES (1, "foo"), (1, "foo")
ON DUPLICATE KEY UPDATE (pagecount = pagecount + 1)
You can also ignore the error with mysql: INSERT IGNORE INTO TABLE ... it will ignore the key error, skip over that insert and move on to the next.
From a mysql point you can do
alter table YOURTABLE add unique index(pageId, name);
If your wording is correct and you want to do it from php you can do
$already_done = array();
foreach ($records as $record)
{
$unique_hash = md5($record['name'].$record['pageId']);
if (!in_array($unique_hash, $already_done))
{
$already_done[] = $unique_hash;
// sql insert here
}
}
either way those should do you just fine.
You can set the PageID and Name to a Unique index in the MySQL database. This way when you insert the rows, it will cause an error, which can be ignored by PHP, and you can just go to the next row.
This assumes you are inserting rows individually. AKA:
foreach($large_data as $fields)
{
mysql_query("INSERT INTO TABLE (`Something`) VALUES('".$fields['something']."');
}
As title says, im trying to append a string to a VARCHAR column in my table.
The string is something like " //string ", forward slashes will be used later to explode the string to an array in PHP.
I was wondering if there's a way in MYSQL to perform a CONCAT(columnname, "//string") if the column is empty, otherwise perform a normal UPDATE ... SET ... WHERE . In this way, i will avoid the first value of my future exploded string to be a "//string" with forward slahes.
also, above I 've used bold characters for "in MYSQL" because I know i could first query the DB (to check if the column is empty) with something like:
$q = $conn->dbh->prepare('SELECT columnname FROM tablename WHERE username=:user');
$q->bindParam(':user', $username);
$q->execute();
$check = $q->fetchColumn();
and then leave PHP decide which operation perform:
if ($check != '') { // PERFORM A CONCAT }
else { // PERFORM AN UPDATE }
but this would mean a waste of time/resources due to 2x database calls and more PHP code.
thanks.
https://dev.mysql.com/doc/refman/5.0/en/insert-on-duplicate.html
That means in your case:
INSERT INTO tablename (id,columnname) VALUES (1,'//string')
ON DUPLICATE KEY UPDATE columnname=CONCAT(columnname,'//string');
http://sqlfiddle.com/#!9/bd0f4/1
UPDATE Just to show you your options:
http://sqlfiddle.com/#!9/8e61c/1
INSERT INTO tablename (id, columnname) VALUES (1, '//string')
ON DUPLICATE KEY UPDATE columnname=CONCAT(columnname,'//string');
INSERT INTO tablename (id, columnname) VALUES (1, '//string')
ON DUPLICATE KEY UPDATE columnname=CONCAT(columnname,'//string');
INSERT INTO tablename (id, columnname) VALUES ((SELECT id FROM tablename t WHERE columnname='blahblah'), '//string')
ON DUPLICATE KEY UPDATE columnname=CONCAT(columnname,'//string');
INSERT INTO tablename (id, columnname) VALUES ((SELECT id FROM tablename t WHERE id=2), '//string')
ON DUPLICATE KEY UPDATE columnname=CONCAT(columnname,'//string');
INSERT INTO tablename (id, columnname) VALUES ((SELECT id FROM tablename t WHERE columnname='newone'), '//newone')
ON DUPLICATE KEY UPDATE columnname=CONCAT(columnname,'//newone');
If what you want is this:
first string: column will contain 'firststring'
second string: column will contain 'firststring//secondstring'
then do the update like this:
UPDATE tablename SET columnname = CONCAT( IF(IFNULL(columnname,'')='','',CONCAT(columnname,'//')), :string) WHERE username=:user