int cal_days_in_month ( int $calendar , int $month , int $year )
So, here we have one example of usage of this function:
$num = cal_days_in_month(CAL_GREGORIAN, 8, 2003); // 31
echo "There was $num days in August 2003";
?>
$num = cal_days_in_month(CAL_GREGORIAN, 8, 2003); // 31
echo "There was $num days in August 2003";
?>
Pluginversus
Built-Indistinction; MySQL 5.5 comes with the latest and greatest InnoDB 1.1.) Read more about the latest InnoDB enhancements below.
semi-synchronousaspect is because the master does not wait for all the slaves to acknowledge, and there is a protocol to avoid the master waiting too long if the slaves fall behind. Read more about semisynchronous replication.
heartbeatis a message sent at regular intervals from a master node to the slave nodes. You can configure the heartbeat period. If the message is not received, the slave knows that the master node has failed. You can now avoid the spurious relay log rotation when the master is idle, rely on an more precise failure detection mechanism, and have an accurate estimation for seconds behind master. (This is a different feature than
Linux heartbeat, which is a similar health-checking system for cluster nodes.) To use this feature, you issue commands like:
STOP SLAVE; CHANGE MASTER TO master_heartbeat_period= milliseconds; START SLAVE; SHOW STATUS like 'slave_heartbeat period' SHOW STATUS like 'slave_received_heartbeats'
a = 10 AND b > 5or
a < "2005-11-25" AND b = 10 AND c = 50Read more about COLUMNS partitioning.
big-Onumber. Now you will need to keep your finger ready on the stopwatch to see how long recovery takes. This feature is available both in InnoDB 1.1 and the InnoDB Plugin 1.0.7. Read more about faster recovery.
bottleneckthat makes all the other threads wait when one thread is updating the buffer pool. All the structures normally associated with the buffer pool can now be multiplied, such as the mutex that protects it, the LRU information, and the flush list. You control how many buffer pool instances are used; the default is still 1. This feature works best with combined buffer pool sizes of several gigabytes, where each buffer pool instance can be a gigabyte or more. Read more about multiple buffer pool instances.
Barracudafile format. However, the setup within the system tablespace only takes place when the system tablespace is created, so to take advantage of this feature, you must create a new instance (not just a new table or a new database) and import the data into it. Read more about multiple rollback segments.
simulated asynchronous I/O), but behind the scenes the query thread really would block until the request finished. Now true asynchronous I/O support (called
native asynchronous I/Oso it won't be confused with references to
asynchronousalready in the source) is available on Linux as well as Windows. This feature requires the libaio userspace library to be installed on Linux. It comes with a configuration option innodb_use_native_aio that you can turn off in case of any startup problems related to the I/O subsystem. Read more about asynchronous I/O for Linux.
delete markingoperation, followed later by a
purgeoperation that garbage-collects all the deleted records). This optimization is under your control through the innodb_change_buffering configuration option, which has a new default of all. (We call the optimization
change bufferingrather than the old name
insert buffering; the actual memory structure is still called the
insert buffer.) Read more about enhanced change buffering.
mutexesare in-memory structures that prevent different threads from interfering with each others' changes to important memory areas like the buffer pool.)
hot, so any other operation that tied up the buffer pool was adding fuel to the fire.) Now the flush list has its own mutex, reducing contention with buffer pool operations and making InnoDB faster without any configuration needed on your part. Read more about separate flush list mutex.
hottestunder various workloads and system configurations, and trace issues back to the relevant file and line in the source code so you can really see what's happening behind the scenes. Read more about InnoDB integration with Performance Schema.