I would like to set a maximum execution time for sql queries like set_time_limit() in php. How can I do ?
I thought it has been around a little longer, but according to this,
MySQL 5.7.4 introduces the ability to set server side execution time limits, specified in milliseconds, for top level read-only SELECT statements.
SELECT
/*+ MAX_EXECUTION_TIME(1000) */ --in milliseconds
*
FROM table;
Note that this only works for read-only SELECT statements.
Update: This variable was added in MySQL 5.7.4 and renamed to max_execution_time in MySQL 5.7.8. (source)
If you're using the mysql native driver (common since php 5.3), and the mysqli extension, you can accomplish this with an asynchronous query:
<?php
// Heres an example query that will take a long time to execute.
$sql = "
select *
from information_schema.tables t1
join information_schema.tables t2
join information_schema.tables t3
join information_schema.tables t4
join information_schema.tables t5
join information_schema.tables t6
join information_schema.tables t7
join information_schema.tables t8
";
$mysqli = mysqli_connect('localhost', 'root', '');
$mysqli->query($sql, MYSQLI_ASYNC | MYSQLI_USE_RESULT);
$links = $errors = $reject = [];
$links[] = $mysqli;
// wait up to 1.5 seconds
$seconds = 1;
$microseconds = 500000;
$timeStart = microtime(true);
if (mysqli_poll($links, $errors, $reject, $seconds, $microseconds) > 0) {
echo "query finished executing. now we start fetching the data rows over the network...\n";
$result = $mysqli->reap_async_query();
if ($result) {
while ($row = $result->fetch_row()) {
// print_r($row);
if (microtime(true) - $timeStart > 1.5) {
// we exceeded our time limit in the middle of fetching our result set.
echo "timed out while fetching results\n";
var_dump($mysqli->close());
break;
}
}
}
} else {
echo "timed out while waiting for query to execute\n";
// kill the thread to stop the query from continuing to execute on
// the server, because we are abandoning it.
var_dump($mysqli->kill($mysqli->thread_id));
var_dump($mysqli->close());
}
The flags I'm giving to mysqli_query accomplish important things. It tells the client driver to enable asynchronous mode, while forces us to use more verbose code, but lets us use a timeout(and also issue concurrent queries if you want!). The other flag tells the client not to buffer the entire result set into memory.
By default, php configures its mysql client libraries to fetch the entire result set of your query into memory before it lets your php code start accessing rows in the result. This can take a long time to transfer a large result. We disable it, otherwise we risk that we might time out while waiting for the buffering to complete.
Note that there's two places where we need to check for exceeding a time limit:
The actual query execution
while fetching the results(data)
You can accomplish similar in the PDO and regular mysql extension. They don't support asynchronous queries, so you can't set a timeout on the query execution time. However, they do support unbuffered result sets, and so you can at least implement a timeout on the fetching of the data.
For many queries, mysql is able to start streaming the results to you almost immediately, and so unbuffered queries alone will allow you to somewhat effectively implement timeouts on certain queries. For example, a
select * from tbl_with_1billion_rows
can start streaming rows right away, but,
select sum(foo) from tbl_with_1billion_rows
needs to process the entire table before it can start returning the first row to you. This latter case is where the timeout on an asynchronous query will save you. It will also save you from plain old deadlocks and other stuff.
ps - I didn't include any timeout logic on the connection itself.
Please rewrite your query like
select /*+ MAX_EXECUTION_TIME(1000) */ * from table
this statement will kill your query after the specified time
You can find the answer on this other S.O. question:
MySQL - can I limit the maximum time allowed for a query to run?
a cron job that runs every second on your database server, connecting and doing something like this:
SHOW PROCESSLIST
Find all connections with a query time larger than your maximum desired time
Run KILL [process id] for each of those processes
pt_kill has an option for such. But it is on-demand, not continually monitoring. It does what #Rafa suggested. However see --sentinel for a hint of how to come close with cron.
Related
I would like to set a maximum execution time for sql queries like set_time_limit() in php. How can I do ?
I thought it has been around a little longer, but according to this,
MySQL 5.7.4 introduces the ability to set server side execution time limits, specified in milliseconds, for top level read-only SELECT statements.
SELECT
/*+ MAX_EXECUTION_TIME(1000) */ --in milliseconds
*
FROM table;
Note that this only works for read-only SELECT statements.
Update: This variable was added in MySQL 5.7.4 and renamed to max_execution_time in MySQL 5.7.8. (source)
If you're using the mysql native driver (common since php 5.3), and the mysqli extension, you can accomplish this with an asynchronous query:
<?php
// Heres an example query that will take a long time to execute.
$sql = "
select *
from information_schema.tables t1
join information_schema.tables t2
join information_schema.tables t3
join information_schema.tables t4
join information_schema.tables t5
join information_schema.tables t6
join information_schema.tables t7
join information_schema.tables t8
";
$mysqli = mysqli_connect('localhost', 'root', '');
$mysqli->query($sql, MYSQLI_ASYNC | MYSQLI_USE_RESULT);
$links = $errors = $reject = [];
$links[] = $mysqli;
// wait up to 1.5 seconds
$seconds = 1;
$microseconds = 500000;
$timeStart = microtime(true);
if (mysqli_poll($links, $errors, $reject, $seconds, $microseconds) > 0) {
echo "query finished executing. now we start fetching the data rows over the network...\n";
$result = $mysqli->reap_async_query();
if ($result) {
while ($row = $result->fetch_row()) {
// print_r($row);
if (microtime(true) - $timeStart > 1.5) {
// we exceeded our time limit in the middle of fetching our result set.
echo "timed out while fetching results\n";
var_dump($mysqli->close());
break;
}
}
}
} else {
echo "timed out while waiting for query to execute\n";
// kill the thread to stop the query from continuing to execute on
// the server, because we are abandoning it.
var_dump($mysqli->kill($mysqli->thread_id));
var_dump($mysqli->close());
}
The flags I'm giving to mysqli_query accomplish important things. It tells the client driver to enable asynchronous mode, while forces us to use more verbose code, but lets us use a timeout(and also issue concurrent queries if you want!). The other flag tells the client not to buffer the entire result set into memory.
By default, php configures its mysql client libraries to fetch the entire result set of your query into memory before it lets your php code start accessing rows in the result. This can take a long time to transfer a large result. We disable it, otherwise we risk that we might time out while waiting for the buffering to complete.
Note that there's two places where we need to check for exceeding a time limit:
The actual query execution
while fetching the results(data)
You can accomplish similar in the PDO and regular mysql extension. They don't support asynchronous queries, so you can't set a timeout on the query execution time. However, they do support unbuffered result sets, and so you can at least implement a timeout on the fetching of the data.
For many queries, mysql is able to start streaming the results to you almost immediately, and so unbuffered queries alone will allow you to somewhat effectively implement timeouts on certain queries. For example, a
select * from tbl_with_1billion_rows
can start streaming rows right away, but,
select sum(foo) from tbl_with_1billion_rows
needs to process the entire table before it can start returning the first row to you. This latter case is where the timeout on an asynchronous query will save you. It will also save you from plain old deadlocks and other stuff.
ps - I didn't include any timeout logic on the connection itself.
Please rewrite your query like
select /*+ MAX_EXECUTION_TIME(1000) */ * from table
this statement will kill your query after the specified time
You can find the answer on this other S.O. question:
MySQL - can I limit the maximum time allowed for a query to run?
a cron job that runs every second on your database server, connecting and doing something like this:
SHOW PROCESSLIST
Find all connections with a query time larger than your maximum desired time
Run KILL [process id] for each of those processes
pt_kill has an option for such. But it is on-demand, not continually monitoring. It does what #Rafa suggested. However see --sentinel for a hint of how to come close with cron.
I am trying to execute SELECT ... FOR UPDATE query using Laravel 3:
SELECT * from projects where id = 1 FOR UPDATE;
UPDATE projects SET money = money + 10 where id = 1;
I have tried several things for several hours now:
DB::connection()->pdo->exec($query);
and
DB::query($query)
I have also tried adding START TRANSACTION; ... COMMIT; to the query
and I tried to separate the SELECT from the UPDATE in two different parts like this:
DB::query($select);
DB::query($update);
Sometimes I get 0 rows affected, sometimes I get an error like this one:
SQLSTATE[HY000]: General error: 2014 Cannot execute queries while other unbuffered queries are active. Consider using PDOStatement::fetchAll(). Alternatively, if your code is only ever going to run against mysql, you may enable query buffering by setting the PDO::MYSQL_ATTR_USE_BUFFERED_QUERY attribute.
SQL: UPDATE `sessions` SET `last_activity` = ?, `data` = ? WHERE `id` = ?
I want to lock the row in order to update sensitive data, using Laravel's database connection.
Thanks.
In case all you need to do is increase money by 10, you don't need to lock the row before update. Simply executing the update query will do the job. The SELECT query will only slow down your script and doesn't help in this case.
UPDATE projects SET money = money + 10 where id = 1;
I would use diferent queries for sure, so you can have control on what you are doing.
I would use a transaction.
If we read this simple explanations, pdo transactions are quite straightforward. They give us this simple but complete example, that ilustrates how everithing is as we should expect (consider $db to be your DB::connection()->pdo).
try {
$db->beginTransaction();
$db->exec("SOME QUERY");
$stmt = $db->prepare("SOME OTHER QUERY?");
$stmt->execute(array($value));
$stmt = $db->prepare("YET ANOTHER QUERY??");
$stmt->execute(array($value2, $value3));
$db->commit();
}
catch(PDOException $ex) {
//Something went wrong rollback!
$db->rollBack();
echo $ex->getMessage();
}
Lets go to your real statements. For the first of them, the SELECT ..., i wouldn't use exec, but query, since as stated here
PDO::exec() does not return results from a SELECT statement. For a
SELECT statement that you only need to issue once during your program,
consider issuing PDO::query(). For a statement that you need to issue
multiple times, prepare a PDOStatement object with PDO::prepare() and
issue the statement with PDOStatement::execute().
And assign its result to some temp variable like
$result= $db->query ($select);
After this execution, i would call $result->fetchAll(), or $result->closeCursor(), since as we can read here
If you do not fetch all of the data in a result set before issuing
your next call to PDO::query(), your call may fail. Call
PDOStatement::closeCursor() to release the database resources
associated with the PDOStatement object before issuing your next call
to PDO::query().
Then you can exec the update
$result= $db->exec($update);
And after all, just in case, i would call again $result->fetchAll(), or $result->closeCursor().
If the aim is
to lock the row in order to update sensitive data, using Laravel's database connection.
Maybe you can use PDO transactions :
DB::connection()->pdo->beginTransaction();
DB::connection()->pdo->commit();
DB::connection()->pdo->rollBack();
My application is very database intensive. Currently, I'm running MySQL 5.5.19 and using MyISAM, but I'm in the process of migrating to InnoDB. The only problem left is checksum performance.
My application does about 500-1000 "CHECKSUM TABLE" statements per second in peak times, because the clients GUI is polling the database constantly for changes (it is a monitoring system, so must be very responsive and fast).
With MyISAM, there are Live checksums that are precalculated on table modification and are VERY fast. However, there is no such thing in InnoDB. So, CHECKSUM TABLE is very slow...
I hoped to be able to check the last update time of the table, Unfortunately, this is not available in InnoDB either. I'm stuck now, because tests have shownn that the performance of the application drops drastically...
There are simply too much lines of code that update the tables, so implementing logic in the application to log table changes is out of the question...
The Database ecosystem consists of one master na 3 slaves, so local file checks is not an option.
I thought of a method to mimic a checksum cache - a lookup table with two columns - table_name, checksum, and update that table with triggers when changes in a table occurs, but i have around 100 tables to monitor and this means 3 triggers per table = 300 triggers. Hard to maintain, and i'm not sure that this wont be a performance hog again.
So is there any FAST method to detect changes in InnoDB tables?
Thanks!
The simplest way is to add a nullable column with type TIMESTAMP, with the trigger: ON UPDATE CURRENT_TIMESTAMP.
Therefore, the inserts will not change because the column accepts nulls, and you can select only new and changed columns by saying:
SELECT * FROM `table` WHERE `mdate` > '2011-12-21 12:31:22'
Every time you update a row this column will change automatically.
Here are some more informations: http://dev.mysql.com/doc/refman/5.0/en/timestamp.html
To see deleted rows simply create a trigger which is going to log every deletion to another table:
DELIMITER $$
CREATE TRIGGER MyTable_Trigger
AFTER DELETE ON MyTable
FOR EACH ROW
BEGIN
INSERT INTO MyTable_Deleted VALUES(OLD.id, NOW());
END$$
I think I've found the solution. For some time I was looking at Percona Server to replace my MySQL servers, and now i think there is a good reason for this.
Percona server introduces many new INFORMATION_SCHEMA tables like INNODB_TABLE_STATS, which isn't available in standard MySQL server.
When you do:
SELECT rows, modified FROM information_schema.innodb_table_stats WHERE table_schema='db' AND table_name='table'
You get actual row count and a counter. The Official documentation says the following about this field:
If the value of modified column exceeds “rows / 16” or 2000000000, the
statistics recalculation is done when innodb_stats_auto_update == 1.
We can estimate the oldness of the statistics by this value.
So this counter wraps every once in a while, but you can make a checksum of the number of rows and the counter, and then with every modification of the table you get a unique checksum. E.g.:
SELECT MD5(CONCAT(rows,'_',modified)) AS checksum FROM information_schema.innodb_table_stats WHERE table_schema='db' AND table_name='table';
I was going do upgrade my servers to Percona server anyway so this bounding is not an issue for me. Managing hundreds of triggers and adding fields to tables is a major pain for this application, because it's very late in development.
This is the PHP function I've come up with to make sure that tables can be checksummed whatever engine and server is used:
function checksum_table($input_tables){
if(!$input_tables) return false; // Sanity check
$tables = (is_array($input_tables)) ? $input_tables : array($input_tables); // Make $tables always an array
$where = "";
$checksum = "";
$found_tables = array();
$tables_indexed = array();
foreach($tables as $table_name){
$tables_indexed[$table_name] = true; // Indexed array for faster searching
if(strstr($table_name,".")){ // If we are passing db.table_name
$table_name_split = explode(".",$table_name);
$where .= "(table_schema='".$table_name_split[0]."' AND table_name='".$table_name_split[1]."') OR ";
}else{
$where .= "(table_schema=DATABASE() AND table_name='".$table_name."') OR ";
}
}
if($where != ""){ // Sanity check
$where = substr($where,0,-4); // Remove the last "OR"
$get_chksum = mysql_query("SELECT table_schema, table_name, rows, modified FROM information_schema.innodb_table_stats WHERE ".$where);
while($row = mysql_fetch_assoc($get_chksum)){
if($tables_indexed[$row[table_name]]){ // Not entirely foolproof, but saves some queries like "SELECT DATABASE()" to find out the current database
$found_tables[$row[table_name]] = true;
}elseif($tables_indexed[$row[table_schema].".".$row[table_name]]){
$found_tables[$row[table_schema].".".$row[table_name]] = true;
}
$checksum .= "_".$row[rows]."_".$row[modified]."_";
}
}
foreach($tables as $table_name){
if(!$found_tables[$table_name]){ // Table is not found in information_schema.innodb_table_stats (Probably not InnoDB table or not using Percona Server)
$get_chksum = mysql_query("CHECKSUM TABLE ".$table_name); // Checksuming the old-fashioned way
$chksum = mysql_fetch_assoc($get_chksum);
$checksum .= "_".$chksum[Checksum]."_";
}
}
$checksum = sprintf("%s",crc32($checksum)); // Using crc32 because it's faster than md5(). Must be returned as string to prevent PHPs signed integer problems.
return $checksum;
}
You can use it like this:
// checksum a signle table in the current db
$checksum = checksum_table("test_table");
// checksum a signle table in db other than the current
$checksum = checksum_table("other_db.test_table");
// checksum multiple tables at once. It's faster when using Percona server, because all tables are checksummed via one select.
$checksum = checksum_table(array("test_table, "other_db.test_table"));
I hope this saves some trouble to other people having the same problem.
I am using a MySQL database with phpMyAdmin as the frontend (I am not sure I have remote/client access yet). I have a script that queries the database and would like to see how long each query takes? What is the easiest way to do this? Could I install another PHP app on the server?
If you have access to MySQL config files, you can enable general query log and slow query log.
See here for details.
Since, as I think, 5.1.6, you can also do it in runtime:
SET GLOBAL long_query_time = 10 /* which queries are considered long */
SET GLOBAL slow_query_log = 1
, but try it anyway, I don't rememeber exact version when it appeared.
For most applications that I work on, I include query profiling output that can easily be turned on in the development environment. This outputs the SQL, execution time, stack trace and a link to display explain output. It also highlights queries running longer than 1 second.
Although you probably don't need something as sophisticated, you can get a fairly good sense of run time of queries by writing a function in PHP that wraps the query execution, and store debug information on the session (or simply output it). For example:
function run_query($sql, $debug=false, $output=false) {
$start = microtime(true);
$q = mysql_query($sql);
$time = microtime(true) - $start;
if($debug) {
$debug = "$sql<br/>$time<br/><br/>";
if($output) {
print $debug;
} else {
$_SESSION['sql_debug'] .= $debug;
}
}
return $q;
}
That's just kind of a rough idea. You can tweak it however you want.
Hope that helps -
You should set long_query_time to 1 since setting it to 10 will exclude most if not all of your queries.
In the mysql prompt type
set ##long_query_time=1;
We have a lot of queries
select * from tbl_message
that get stuck on the state "Writing to net". The table has 98k rows.
The thing is... we aren't even executing any query like that from our application, so I guess the question is:
What might be generating the query?
...and why does it get stuck on the state "writing to net"
I feel stupid asking this question, but I'm 99,99% sure that our application is not executing a query like that to our database... we are however executing a couple of querys to that table using WHERE statement:
SELECT Count(*) as StrCount FROM tbl_message WHERE m_to=1960412 AND m_restid=948
SELECT Count(m_id) AS NrUnreadMail FROM tbl_message WHERE m_to=2019422 AND m_restid=440 AND m_read=1
SELECT * FROM tbl_message WHERE m_to=2036390 AND m_restid=994 ORDER BY m_id DESC
I have searched our application several times for select * from tbl_message but haven't found anything... But still our query-log on our mysql server is full of Select * from tbl_message queries
Since applications don't magically generate queries as they like, I think that it's rather likely that there's a misstake somewhere in your application that's causing this. Here's a few suggestions that you can use to track it down. I'm guessing that your using PHP, since your using MySQL, so I'll use that for my examples.
Try adding comments in front of all your queries in the application, like this:
$sqlSelect = "/* file.php, class::method() */";
$sqlSelect .= "SELECT * FROM foo ";
$sqlSelect .= "WHERE criteria";
The comment will show up in your query log. If you're using some kind database api wrapper, you could potentially add these messages automatically:
function query($sql)
{
$backtrace = debug_backtrace();
// The function that executed the query
$prev = $backtrace[1];
$newSql = sprintf("/* %s */ ", $prev["function"]);
$newSql .= $sql;
mysql_query($newSql) or handle_error();
}
In case you're not using a wrapper, but rather executing the queries directly, you could use the runkit extension and the function runkit_function_rename to rename mysql_query (or whatever you're using) and intercept the queries.
There are (at least) two data retrieval modes for mysql. With the c api you either call mysql_store_result() or mysql_use_result().
mysql_store_result() returns when all result data is transferred from the MySQL server to your process' memory, i.e. no data has to be transferred for further calls to mysql_fetch_row().
However, by using mysql_use_result() each record has to be fetched individually if and when mysql_fetch_row() is called. If your application does some computing that takes longer than the time period specified in net_write_timeout between two calls to mysql_fetch_row() the MySQL server considers your connection to be timed out.
Temporarily enable the query log by putting
log=
into your my.cnf file, restart mysql and watch the query log for those mystery queries (you don't have to give the log a name, it'll assume one from the host value).