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This page gives installation instructions specific to the MySQL graph templates, shows examples of graphs in the MySQL template collection, and shows what they do. You might want to look at http://dev.mysql.com/doc/refman/5.1/en/server-status-variables.html to learn the meaning of the status variables contained in the graphs.
The MySQL templates work by executing a PHP script that gathers information from MySQL servers and returns it to Cacti. The script makes an ordinary MySQL connection to gather its input.
It is highly recommended that you use the same MySQL username and password for all servers you want to graph, to ease the installation and configuration. If you don’t, you will need to customize your templates to accommodate your installation. See below for detailed information on the privileges.
The script requires that you be able to connect to MySQL from your Cacti server. You can test this with the mysql command-line program. Debugging MySQL connection problems is beyond the scope of this documentation; refer to the MySQL manual if you have trouble.
If you want to specify a different MySQL port for various servers, see the instructions on how to accept input in each data source.
The suggested user privileges mentioned above are sufficient for the common case. In some cases you might not want or have such access. The following list explains the queries that the data-gathering script executes, the functionality, and how to disable if it’s unwanted:
If you disable significant portions of the functionality, such as the InnoDB graphs, then you might want to edit the Host Template to remove unwanted graphs.
The following sample graphs demonstrate how the data is presented.
The InnoDB Adaptive Hash Index graph shows the hash index’s cells total and cells used. There isn’t really anything actionable about this graph: the adaptive hash index isn’t designed to be user-tunable, although you can disable it. However, should something go wrong with performance, this graph might provide diagnostic information.
The InnoDB Buffer Pool graph shows the current status of the InnoDB buffer pool: the size, free pages, used (database) pages, and dirty (modified) pages. If too much of the buffer pool fills with dirty pages and InnoDB starts to flush aggressively to reduce that number, you could see cyclical behavior. This might be correlated with intense disk activity and/or periods of reduced throughput. Recent versions of the InnoDB plugin, Percona Server, and Percona XtraDB have various solutions for this problem, should you experience it.
The example graph shows what happens when InnoDB restarts: the buffer pool empties and then fills again.
The InnoDB Buffer Pool Activity graph shows activity inside the buffer pool: pages created, read, and written. You can consider it roughly equivalent to the Handler graphs. If you see a sudden change in the graph, you should try to trace it to some change in your application.
The InnoDB Checkpoint Age graph shows the InnoDB checkpoint age, which is the same thing as the number of uncheckpointed bytes, and thus the amount of log that will need to be scanned to perform recovery if there’s a crash. If the uncheckpointed bytes begin to approach the combined size of the InnoDB log files, your system might need larger log files. In addition, a lot of un-checkpointed data might indicate that you’ll have a long and painful recovery if there’s a crash. If you are writing a tremendous amount of data to the log files, and thus need large log files for performance, you might consider the enhancements in Percona Server.
The InnoDB Current Lock Waits graph shows the total number of seconds that InnoDB transactions have been waiting for locks. This is related to the InnoDB Active/Locked Transactions graph, except that it’s the sum of the lock wait time. You might have only one transaction in LOCK WAIT status, but it might be waiting a very long time if innodb_lock_wait_timeout is set to a large value. So if you see a large value on this graph, you should investigate for LOCK WAIT transactions.
The InnoDB Insert Buffer graph shows information about InnoDB’s insert buffer: inserts, merge operations, and merged records. This is not generally actionable, because the insert buffer is not user-configurable in standard MySQL. However, you can use it to diagnose certain kinds of performance problems, such as furious disk activity after you stop the server from processing queries, or during particular types of queries that force the insert buffer to be merged into the indexes. (The insert buffer is sort of a delayed way of updating non-unique secondary indexes.) If the insert buffer is causing problems, then Percona Server might help, because it has some configuration parameters for the buffer.
The InnoDB Insert Buffer Usage graph shows the total cells in the insert buffer, and the used and free cells. This is diagnostic only, as in the previous graph. You can use it to see the buffer usage, and thus correlate with server activity that might be hard to explain otherwise.
The InnoDB Internal Hash Memory Usage graph shows how much memory InnoDB uses for various internal hash structures: the adaptive hash index, page hash, dictionary cache, filesystem, locks, recovery system, and thread hash. This is available only in Percona Server, and these structures are generally not configurable. However, you might use it to diagnose some kinds of performance problems, such as much greater than expected memory usage. In standard InnoDB, the internal data dictionary tends to consume large amounts of memory when you have many tables, for example. Percona Server lets you control that with some features that are similar to MySQL’s table cache.
The InnoDB I/O Activity graph shows InnoDB’s I/O activity: file reads and writes, log writes, and fsync() calls. This might help diagnose the source of I/O activity on the system. Some of this can be influenced with InnoDB settings, especially innodb_flush_log_at_trx_commit.
The InnoDB I/O Pending graph shows InnoDB’s pending synchronous and asynchronous I/O operations in various parts of the engine. Pending I/O is not ideal; ideally you’d like InnoDB’s background thread(s) to keep up with writes, and you’d like the buffer pool large enough that reads are not an issue. If you see a lot of pending I/O, you might need more RAM, a bigger buffer pool (or use O_DIRECT to avoid double-buffering), or a faster disk subsystem.
The InnoDB Lock Structures graph shows how many lock structures InnoDB has internally. This should correlate roughly to the number of row locks transactions are currently holding, and might be useful to help diagnose increased lock contention. There is no hard rule about what’s a good or bad number of locks, but in case many transactions are waiting for locks, obviously fewer is better.
The data comes from lines in SHOW INNODB STATUS such as the following:
# 23 lock struct(s), heap size 3024, undo log entries 27 # LOCK WAIT 12 lock struct(s), heap size 3024, undo log entries 5 # LOCK WAIT 2 lock struct(s), heap size 368
It is the sum of all of the N lock struct(s) values.
The InnoDB Log Activity graph shows InnoDB log activity: the log buffer size, bytes written, flushed, and unflushed. If transactions need to write to the log buffer and it’s either not big enough or is currently being flushed, they’ll stall.
The InnoDB Memory Allocation graph shows InnoDB’s total memory allocation, and how much of that is in the additional pool (as opposed to the buffer pool). If a lot of memory is in the additional memory pool, you might suspect problems with the internal data dictionary cache; see above for more on this. Unfortunately, in standard InnoDB it’s a bit hard to know where the memory really goes.
The InnoDB Row Lock Time graph shows the amount of time, in milliseconds, that InnoDB has waited to grant row locks. This comes from the Innodb_row_lock_time status variable.
The InnoDB Row Lock Waits graph shows the number of times that InnoDB has waited to grant row locks. This comes from the Innodb_row_lock_waits status variable.
The InnoDB Row Operations graph shows row operations InnoDB has performed: reads, deletes, inserts, and updates. These should be roughly equivalent to Handler statistics, with the exception that they can show internal operations not reflected in the Handler statistics. These might include foreign key operations, for example.
The InnoDB Semaphores graph shows information on InnoDB semaphore activity: the number of spin rounds, spin waits, and OS waits. You might see these graphs spike during times of high concurrency or contention. These graphs basically indicate different types of activity involved in obtaining row locks or mutexes, which are causes of poor scaling in some cases.
The InnoDB Semaphore Wait Time graph shows the amount of time, in milliseconds, that threads have waited for the semaphore.
The InnoDB Semaphore Waits graph shows the number of times that threads have waited for the semaphore.
The InnoDB Tables In Use graph shows how many tables InnoDB has in use and how many are locked. If there are spikes in these graphs, you’ll probably also see spikes in LOCK WAIT and other signs of contention amongst queries.
The InnoDB Transactions graph shows information about transactions within InnoDB.
The InnoDB Active/Locked Transactions graph shows InnoDB transaction counts:
The MyISAM Indexes graph shows information about how many logical and physical reads and writes took place to MyISAM indexes. Probably the most important one is the physical reads. The ratio between logical and physical reads is not very useful to monitor. Instead, you should look at the absolute number of physical reads per second, and compare it to what your disks are capable of. (RRDTool normalizes everything to units of seconds, so this graph’s absolute value is the number you need.)
The MyISAM Key Cache graph shows the size of the key buffer, how much of it is used, and how much is unflushed. Memory that isn’t used might not really be allocated; the key buffer isn’t allocated to its full size.
The MySQL Binary/Relay logs graph shows information about the space used by the server binary and relay logs. The variations in the sizes are when the logs are purged, probably due to expire_logs_days being set. If this suddenly grows large, look for problems in purging, which might be caused by a configuration change, or by someone manually deleting a file and causing the automatic purge to stop working.
The MySQL Command Counters graph shows counters for various MySQL commands. These are derived from the Com_ counters from SHOW STATUS. If there is a change in the graph, it indicates that something changed in the application.
The MySQL Connections graph shows information about the connection parameters and counters inside MySQL: connections permitted, connections used, connections aborted, clients aborted, current connections, and connections created. Probably the most interesting are the aborted clients and connections, which might indicate a malfunctioning application that disconnects ungracefully, an idle connection timing out, network problems, bad authentication attempts, or similar.
The MySQL Files and Tables graph shows status of MySQL’s table cache and file handles: the size of the cache, and how many open files and tables there are. This graph is not likely to contain much information in the normal course of events.
The MySQL Handlers graph shows the various Handler counters, which record how many operations MySQL has done through the storage engine API. Changes in indexing will probably show up clearly here: a query that used to do a table scan but now has a good index to use will cause different Handler calls to be used, for example. If you see sudden changes, it probably correlates with schema changes or a different mixture of queries. If you see a large spike of Handler_read_rnd_next, it probably means something was doing a lot of table scans.
The MySQL Network Traffic graph shows network traffic to and from the MySQL Server, in bytes.
The MySQL Processlist shows the number (count) of queries from SHOW PROCESSLIST in given statuses. Some of the statuses are lumped together into the “other” category. This is a “scoreboard” type of graph. In most cases, you should see mostly Other, or a few of the statuses like “Sending data”. Queries in Locked status are the hallmark of a lot of MyISAM table locking. Any mixture of statuses is possible, and you should investigate sudden and systemic changes.
The MySQL Query Cache graph shows information about the query cache inside MySQL: the number of queries in the cache, inserted, queries not cached, queries pruned due to low memory, and cache hits.
The MySQL Query Cache Memory graph shows information on the query cache’s memory usage: total size, free memory, total blocks and free blocks. Blocks are not of a uniform size, despite the name.
The MySQL Query Response Time (Microseconds) graph displays a histogram of the query response time distribution available in Percona Server. Because the time units are user-configurable, exact unit labels are not displayed; rather, the graph simply shows the values. There are 14 time units by default in Percona Server, so there are 13 entries on the graph (the 14th is non-numeric, so we omit it).
The graph actually displays the amount of response time spent by the server on queries of various lengths. See the Percona documentation for more. The units are in microseconds on the graph, because RRDtool cannot store floating-point values.
The MySQL Query Time Histogram (Count) graph displays a histogram of the query response time distribution available in Percona Server. Because the time units are user-configurable, exact unit labels are not displayed; rather, the graph simply shows the values. There are 14 time units by default in Percona Server, so there are 13 entries on the graph (the 14th is non-numeric, so we omit it).
The graph displays the number of queries that fell into each time division. See the Percona documentation for more.
The MySQL Replication Status graph displays the status of the replication thread. There are two ways to measure the replication delay:
When replication is running, there is an AREA of the same size as the replication delay, colored green. When it’s stopped, there’s an AREA of the same size as the replication delay, colored red. What this means is that you’ll see a graph of replication delay, colored in with the appropriate color (green or red) to indicate whether replication was stopped at that moment. If replication isn’t delayed, you won’t see any green or red. If you’re using Seconds_behind_master instead of pt-heartbeat to measure delay, it’s impossible to measure delay when the slave is stopped, so you won’t see any red. This is one of the reasons Seconds_behind_master from SHOW SLAVE STATUS is not as useful as pt-heartbeat.
The graph also shows open temporary tables and retried transactions.
The MySQL Select Types graph shows information on how many of each type of select the MySQL server has performed: full join, full range join, range, range check, and scan. Like the Handler graphs, these show different types of execution plans, so any changes should be investigated. You should strive to have zero Select_full_join queries!
The MySQL Sorts graph shows information about MySQL sort operations: rows sorted, merge passes, and number of sorts triggered by range and scan queries. It is easy to over-analyze this data. It is not useful as a way to determine whether the server configuration needs to be changed.
The MySQL Table Locks graph shows information about table-level lock operations inside MySQL: locks waited, locks granted without waiting, and slow queries. Locks that have to wait are generally caused by MyISAM tables. Even InnoDB tables will cause locks to be acquired, but they will generally be released right away and no waiting will occur.
The MySQL Temporary Objects graph shows information about temporary objects created by the MySQL server: temporary tables, temporary files, and temporary tables created on disk instead of in memory. Like sort data, this is easy to over-analyze. The most serious one is the temp tables created on disk. Dealing with these is complex, but is covered well in the book High Performance MySQL.
The MySQL Threads graph shows the size of thread cache the server is configured with and the number of threads of each type. On this example we can observe that once thread_cache_size was set to 10, MySQL stopped creating new threads and started using the cached ones.
The MySQL Transaction Handler graph shows the transactional operations that took place at the MySQL server level.