I started by googling, and found this article which talks about mutex tables.
I have a table with ~14 million records. If I want to add more data in the same format, is there a way to ensure the record I want to insert does not already exist without using a pair of queries (ie, one query to check and one to insert is the result set is empty)?
Does a
unique
constraint on a field guarantee the insert
will fail if it's already there?
It seems that with merely a constraint, when I issue the insert via php, the script croaks.
Answers
use
INSERT IGNORE INTO table
there's also
INSERT … ON DUPLICATE KEY UPDATE
syntax, you can find explanations on dev.mysql.com
Post from bogdan.org.ua according to Google's webcache:
18th October 2007To start: as of the latest MySQL, syntax presented in the title is not possible. But there are several very easy ways to accomplish what is expected using existing functionality.There are 3 possible solutions: using INSERT IGNORE, REPLACE, or INSERT … ON DUPLICATE KEY UPDATE.Imagine we have a table:CREATE TABLE `transcripts` ( `ensembl_transcript_id` varchar(20) NOT NULL, `transcript_chrom_start` int(10) unsigned NOT NULL, `transcript_chrom_end` int(10) unsigned NOT NULL, PRIMARY KEY (`ensembl_transcript_id`) ) ENGINE=InnoDB DEFAULT CHARSET=latin1;
Now imagine that we have an automatic pipeline importing transcripts meta-data from Ensembl, and that due to various reasons the pipeline might be broken at any step of execution. Thus, we need to ensure two things: 1) repeated executions of the pipeline will not destroy our database, and 2) repeated executions will not die due to ‘duplicate primary key’ errors.Method 1: using REPLACEIt’s very simple:REPLACE INTO `transcripts` SET `ensembl_transcript_id` = ‘ENSORGT00000000001′, `transcript_chrom_start` = 12345, `transcript_chrom_end` = 12678;
If the record exists, it will be overwritten; if it does not yet exist, it will be created. However, using this method isn’t efficient for our case: we do not need to overwrite existing records, it’s fine just to skip them.Method 2: using INSERT IGNORE Also very simple:INSERT IGNORE INTO `transcripts` SET `ensembl_transcript_id` = ‘ENSORGT00000000001′, `transcript_chrom_start` = 12345, `transcript_chrom_end` = 12678;
Here, if the ‘ensembl_transcript_id’ is already present in the database, it will be silently skipped (ignored). (To be more precise, here’s a quote from MySQL reference manual: “If you use the IGNORE keyword, errors that occur while executing the INSERT statement are treated as warnings instead. For example, without IGNORE, a row that duplicates an existing UNIQUE index or PRIMARY KEY value in the table causes a duplicate-key error and the statement is aborted.”.) If the record doesn’t yet exist, it will be created.This second method has several potential weaknesses, including non-abortion of the query in case any other problem occurs (see the manual). Thus it should be used if previously tested without the IGNORE keyword.There is one more option: to use INSERT … ON DUPLICATE KEY UPDATE syntax, and in the UPDATE part just do nothing do some meaningless (empty) operation, like calculating 0+0 (Geoffray suggests doing the id=id assignment for the MySQL optimization engine to ignore this operation). Advantage of this method is that it only ignores duplicate key events, and still aborts on other errors.As a final notice: this post was inspired by Xaprb. I’d also advise to consult his other post on writing flexible SQL queries.
on duplicate key update, or insert ignore can be viable solutions with MySQL.
Example of on duplicate key update update based on mysql.com
INSERT INTO table (a,b,c) VALUES (1,2,3)
ON DUPLICATE KEY UPDATE c=c+1;
UPDATE table SET c=c+1 WHERE a=1;
Example of insert ignore based on mysql.com
INSERT [LOW_PRIORITY | DELAYED | HIGH_PRIORITY] [IGNORE]
[INTO] tbl_name [(col_name,...)]
{VALUES | VALUE} ({expr | DEFAULT},...),(...),...
[ ON DUPLICATE KEY UPDATE
col_name=expr
[, col_name=expr] ... ]
Or:
INSERT [LOW_PRIORITY | DELAYED | HIGH_PRIORITY] [IGNORE]
[INTO] tbl_name
SET col_name={expr | DEFAULT}, ...
[ ON DUPLICATE KEY UPDATE
col_name=expr
[, col_name=expr] ... ]
Or:
INSERT [LOW_PRIORITY | HIGH_PRIORITY] [IGNORE]
[INTO] tbl_name [(col_name,...)]
SELECT ...
[ ON DUPLICATE KEY UPDATE
col_name=expr
[, col_name=expr] ... ]
REPLACE INTO `transcripts`
SET `ensembl_transcript_id` = 'ENSORGT00000000001',
`transcript_chrom_start` = 12345,
`transcript_chrom_end` = 12678;
If the record exists, it will be overwritten; if it does not yet exist, it will be created.
Try the following:
IF (SELECT COUNT(*) FROM beta WHERE name = 'John' > 0)
UPDATE alfa SET c1=(SELECT id FROM beta WHERE name = 'John')
ELSE
BEGIN
INSERT INTO beta (name) VALUES ('John')
INSERT INTO alfa (c1) VALUES (LAST_INSERT_ID())
END
Try:
// Check if exist cod = 56789
include "database.php";
$querycheck = mysql_query ("SELECT * FROM `YOURTABLE` WHERE `xxx` = '56789';");
$countrows = mysql_num_rows($querycheck);
if($countrows == '1')
{
// Exist
}
else
{
// .... Not exist
}
Or you can do:
// Check if exist cod = 56789
include "database.php";
$querycheck = mysql_query ("SELECT * FROM `YOURTABLE` WHERE `xxx` = '56789';");
$countrows = mysql_num_rows($querycheck);
while($result = mysql_fetch_array($querycheck))
{
$xxx = $result['xxx'];
if($xxx == '56789')
{
// Exist
}
else
{
// Not exist
}
}
This method is fast and easy. For improve the speed of the query in your big table INDEX columns 'xxx' ( In my example ).
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