On 13/10/2012, at 3:32 PM, "drio" wrote:
I ported a set of routines that read fastq files(http://en.wikipedia.org/wiki/FASTQ_format) to golang.
The code is here: https://gist.github.com/3882029
The idea is iterating over the input lines until you find a record that can be returned to the user.
The main routine (readFq()) returns a closure. To get records, the user has to keep calling the closure
until no more records are available.
I did some basic benchmarking on different implementations(c, lua, python and perl) of the algorithm
with the following results:
0.03u 3.97s 41.34r 2176kB c
0.06u 8.69s 109.50r 2176kB go
0.03u 4.93s 131.96r 2192kB luajit
0.02u 2.97s 132.41r 2176kB python27
0.07u 9.89s 275.16r 2192kB perl
As you can see the c version is the fastest (41.3sec).
Then I did some profiling that gave me the following results (top10 using pprof tool):
579 96.5% 96.5% 579 96.5% runtime.nanotime
11 1.8% 98.3% 11 1.8% runtime.sigprocmask
9 1.5% 99.8% 9 1.5% scanblock
1 0.2% 100.0% 1 0.2% ReleaseN
0 0.0% 100.0% 34 5.7% bufio.(*Reader).ReadBytes
0 0.0% 100.0% 11 1.8% bufio.(*Reader).ReadSlice
0 0.0% 100.0% 43 7.2% bufio.(*Reader).ReadString
0 0.0% 100.0% 11 1.8% bufio.(*Reader).fill
0 0.0% 100.0% 557 92.8% concatstring
0 0.0% 100.0% 566 94.3% gostringsize
This and the profiling graph tells me that most of the cpu is spent in doing garbage collection for the
concatstring and gostringsize routines. Am I right?
In the readFq() routine, there are plenty of len() and substring selections so the profiling results
are not surprising.
Do you see any obvious changes that can be made in the code to improve the performance?
Any comments regarding the code are welcome.