Perl - MySQL/MariaDB - slow with no identifiable bottleneck I am running a Perl script (using DBI) which reads from raw files from a hard disk, and updates MySQL database (which is on a separate SSD).  My performance is rather slow (1000 files processed in 30-60 seconds), but I can not find the bottleneck.

CPU. Network, Disk and Memory are all rather unused. I am running Windows 7 64bit on an i7 machine (8 cores). MariaDB is version 10.0.10. My database is around 78G in size with 5M entries, all tables properly indexed.

Perfmon confirms this showing total CPU 6%, Network 0%, HD Disk 140 I/O/s, Memory 10%. None of the CPU cores are used more than 3-4%. 

I have experimented with changing all these mysql variables with no success:
    innodb_use_global_flush_log_at_trx_commit
    innodb_buffer_pool_instances
    global.max_connections
    innodb_thread_sleep_delay
    global.innodb_io_capacity
    global.innodb_sync_spin_loops
    innodb_flush_log_at_trx_commit
    wait_timeout

Mysqltuner did not report anything of interest, except for:
Data in InnoDB tables: 78G (Tables: 12)
Total fragmented tables: 10
Query cache is disabled
Thread cache is disabled
InnoDB data size/buffer pool: 78.1G/2.0G

Perl profiling showed that majority of time is taken up by DBI::st::execute (invoking sql).

I have also tried disabling firewall and virus scanner too - no difference.
Conclusion and a workaround

After exhausting all options on Windows, I decided to switch to Linux, mostly because I was frustrated with inability to profile and debug in detail.

I have moved the whole setup to Ubuntu 14.04. I first tried XAMPP but gave up because of conflicts between XAMPP and MySQL and MySQL Workbench.  Then I moved to vanilla MySQL (5.5, I think) and vanilla Apache 2. 

However, I was still left with the same problem – no visible bottleneck and resources still underutilized.   I suspected throttling in TCP sockets (used between Perl code and MySQL), but further profiling proved this not to be the case. 

Then, I turned my attantion to Perl DBI module DBD::SQL, thinking that it may be doing some throttlinig.  I did some tests where I replaced DBI calls in Perl with system calls (system("mysql -e'INSERT INTO blah blah …').  I have determined that the performance did not change, therefore absolving DBI as a culprit.

I need to add one important detail now: I was in fact always running a number of my Perl scripts in parallel.  Given that the CPU has 8 cores, this is necessary to utilize all of them, of course.
Further debugging showed that almost all my perl processes which were supposed to work furiously 
were sleeping most of the time. Ubunty System Monitor shawed them as waiting on Waiting Channels  wait_answer_interruptible or  unix_stream_recvmsg.  CPU History graph in System Monitor showed all perl processes jumping to 100% CPU utilization and then dropping to ~0% in unison.  I suspected that MySQL server is not configured for multi threading, but htop showed 17 mysqld threads activated, confirming that all should be ok.
I suspected that all MySQL threads were waiting on the same semaphore and were locked out for most of the time.  I dreaded delving into the dark bowels of MySQL trying to figure out what goes on inside. Instead, I decided to replace MySQL with MariaDB, even though MariaDB seems to have had the same issue originally when I was running it on Windows.  

Lo and behold – this finally worked.  My perl scripts were screaming.  

One last problem remained: I had a very rudimentary method of parallelising the perl scripts: I would just run 10 or 20 with their respective loads and hope that they would utilize all the resources.  

This has obvious drawbacks: if too many processes are spawned, the OS may spend too much time swapping them (although not a serious issue with only 20 processes, it becomes an issue with e.g. 1000).   If not enough processes are spawned (e.g. less than 8, for each core) the CPU will not be utilized fully for sure.   If too many processes exhaust RAM, Linux will turn to disk and will start swapping.  As soon as this starts happening, everything grinds to a halt.  

I searched but could not find a perl library/script/code which would spawn new processes only when CPU, memory and disk are under utilized.  Hence I created my own: raspawn.pl (resource aware spawn) which I placed on github.  Raspawn.pl spawns a number of processes while trying to keep resources utilization just below the maximum.  It constantly checks the CPU, memory and disk utilization and only if all are less than ~90% utilized, starts a new process.

Finally, this worked.  I can now process my whole load in around 7 days, instead of many months...