The directed graph shell, dgsh (pronounced /dæɡʃ/ — dagsh), provides an expressive way to construct sophisticated and efficient big data set and stream processing pipelines using existing Unix tools as well as custom-built components. It is a Unix-style shell (based on bash) allowing the specification of pipelines with non-linear non-uniform operations. These form a directed acyclic process graph, which is typically executed by multiple processor cores, thus increasing the operation's processing throughput.
If you want to get a feeling on how dgsh works in practice, skip right down to the examples section.
For a more formal introduction to dgsh or to cite it in your work,
see:
Diomidis Spinellis and Marios Fragkoulis.
Extending Unix Pipelines to DAGs.
IEEE Transactions on Computers, 2017.
doi: 10.1109/TC.2017.2695447
Dgsh provides two new ways for expressing inter-process communication.
comm
command supplied with dgsh
expects two input channels and produces on its output three
output channels: the lines appearing only in first (sorted) channel,
the lines appearing only in the second channel,
and the lines appearing in both.
Connecting the output of the comm
command to the
cat
command supplied with dgsh
will make the three outputs appear in sequence,
while connecting it to the
paste
command supplied with dgsh
will make the output appear in its customary format.
md5sum
and wc -c
receives two inputs and produces two outputs:
the MD5 hash of its input and the input's size.
Data to multipipe blocks are typically provided with a
dgsh-aware version of tee
and collected by
dgsh-aware versions of programs such as
cat
and paste
.
dgsh-writeval
, and
a reader program, dgsh-readval
.
The behavior of a stored value's IO can be modified by adding flags to
dgsh-writeval
and dgsh-readval
.
A dgsh script follows the syntax of a bash(1) shell script with the addition of multipipe blocks. A multipipe block contains one or more dgsh simple commands, other multipipe blocks, or pipelines of the previous two types of commands. The commands in a multipipe block are executed asynchronously (in parallel, in the background). Data may be redirected or piped into and out of a multipipe block. With multipipe blocks dgsh scripts form directed acyclic process graphs. It follows from the above description that multipipe blocks can be recursively composed.
As a simple example consider running the following command directly within dgsh
{{ echo hello & echo world & }} | paste
or by invoking dgsh
with the command as an argument.
dgsh -c '{{ echo hello & echo world & }} | paste'
The command will run paste with input from the two
echo processes to output hello world
.
This is equivalent to running the following bash command,
but with the flow of data appearing in the natural left-to-right order.
paste <(echo hello) <(echo world)
In the following larger example, which compares the performance of
different compression utilities, the script's standard input
is distributed to
three compression utilities (xz, bzip2, and gzip),
to assess their performance, and also to
file and wc to report the input data's type and size.
The printf commands label the data of each processing type.
All eight commands pass their output
to the cat
command, which gathers their outputs
in order.
tee | {{ printf 'File type:\t' file - printf 'Original size:\t' wc -c printf 'xz:\t\t' xz -c | wc -c printf 'bzip2:\t\t' bzip2 -c | wc -c printf 'gzip:\t\t' gzip -c | wc -c }} | cat
Formally, dgsh extends the syntax of the (modified) Unix Bourne-shell
when bash
provided with the --dgsh
argument
as follows.
<dgsh_block> ::= '{{' <dgsh_list> '}}' <dgsh_list> ::= <dgsh_list_item> '&' <dgsh_list_item> <dgsh_list> <dgsh_list_item> ::= <simple_command> <dgsh_block> <dgsh_list_item> '|' <dgsh_list_item>
A number of Unix tools have been adapted to support multiple inputs and outputs to match their natural capabilities. This echoes a similar adaptation that was performed in the early 1970s when Unix and the shell got pipes and the pipeline syntax. Many programs that worked with files were adjusted to work as filters. The number of input and output channels of dgsh-compatible commands are as follows, based on the supplied command-line arguments.
Tool | Inputs | Outputs | Notes |
---|---|---|---|
cat (dgsh-tee) | 0—N | 0—M | No options are supported |
cmp | 0—2 | 0—1 | |
comm | 0—2 | 0—3 | Output streams in order: lines only in first file, lines only in second one, and lines in both files |
cut | 0—1 | 1—N | With --multistream output each range into a different stream |
diff | 0—N | 1 | Typically two inputs. Compare an arbitrary number of input streams with the --from-file or --to-file options |
diff3 | 0—3 | 1 | |
grep | 0—2 | 0—4 | Available output streams (via arguments): matching files, non-matching files, matching lines, and non-matching lines |
join | 0—2 | 1 | |
paste | 0—N | 1 | Paste N input streams |
perm | 1—N | 1—N | Rearrange the order of N input streams |
sort | 0—N | 0—1 | With the -m option, merge sort N input streams |
tee (dgsh-tee) | 0—N | 0—M | Only the -a option is supported |
dgsh-readval | 0 | 1 | Read a value from a socket |
dgsh-wrap | 0—N | 0—1 | Wrap non-dgsh commands and negotiate on their behalf |
dgsh-writeval | 1 | 0 | Write a value to a socket |
In addition, POSIX user commands that receive no input
or only generate no output, when executed in a dgsh context
are wrapped to specify the corresponding input or output capability.
For example, an echo
command in a multipipe block
will appear to receive no input, but will provide one output stream.
By default dgsh
automatically wraps all other
commands as filters.
Finally, note that any dgsh script will accept and generate the number of inputs and outputs associated with the commands or multipipe blocks at its two endpoints.
The dgsh suite has been tested under Debian and Ubuntu Linux, FreeBSD, and Mac OS X. A Cygwin port is underway.
An installation of GraphViz will allow you to visualize the dgsh graphs that you specify in your programs.
To compile and run dgsh you will need to have the following commands installed on your system:
make automake gcc libtool pkg-config texinfo help2man autopoint bison check gperf git xz-utils gettextTo test dgsh you will need to have the following commands installed in your system:
wbritish wamerican libfftw3-dev csh curl bzip2
Go through the following steps.
git clone --recursive https://github.com/dspinellis/dgsh.git
make config
make
sudo make install
By default, the program and its documentation are installed under
/usr/local
.
You can modify this by setting the PREFIX
variable
in the `config` step, for example:
make PREFIX=$HOME config make make install
Issue the following command.
make test
To compile and run dgsh you will need to have the following packages installed in your system:
devel/automake devel/bison devel/check devel/git devel/gmake devel/gperf misc/help2man print/texinfo shells/bashTo test dgsh you will need to have the following ports installed on your system:
archivers/bzip2 ftp/curl
Go through the following steps.
git clone --recursive https://github.com/dspinellis/dgsh.git
gmake config
gmake
sudo gmake install
By default, the program and its documentation are installed under
/usr/local
.
You can modify this by setting the PREFIX
variable
in the `config` step, for example:
gmake PREFIX=$HOME config gmake gmake install
Issue the following command.
gmake test
These are the manual pages for dgsh, the associated helper programs and the API in formats suitable for browsing and printing. The commands are listed in the order of usefulness in everyday scenarios.
Report file type, length, and compression performance for data received from the standard input. The data never touches the disk. Demonstrates the use of an output multipipe to source many commands from one followed by an input multipipe to sink to one command the output of many and the use of dgsh-tee that is used both to propagate the same input to many commands and collect output from many commands orderly in a way that is transparent to users.
#!/usr/bin/env dgsh tee | {{ printf 'File type:\t' file - printf 'Original size:\t' wc -c printf 'xz:\t\t' xz -c | wc -c printf 'bzip2:\t\t' bzip2 -c | wc -c printf 'gzip:\t\t' gzip -c | wc -c }} | cat
Process the Git history, and list the authors and days of the week ordered by the number of their commits. Demonstrates streams and piping through a function.
#!/usr/bin/env dgsh forder() { sort | uniq -c | sort -rn } git log --format="%an:%ad" --date=default "$@" | tee | {{ echo "Authors ordered by number of commits" # Order by frequency awk -F: '{print $1}' | forder echo "Days ordered by number of commits" # Order by frequency awk -F: '{print substr($2, 1, 3)}' | forder }} | cat
Process a directory containing C source code, and produce a summary of various metrics. Demonstrates nesting, commands without input.
#!/usr/bin/env dgsh {{ # C and header code find "$@" \( -name \*.c -or -name \*.h \) -type f -print0 | tee | {{ # Average file name length # Convert to newline separation for counting echo -n 'FNAMELEN: ' tr \\0 \\n | # Remove path sed 's|^.*/||' | # Maintain average awk '{s += length($1); n++} END { if (n>0) print s / n; else print 0; }' xargs -0 /bin/cat | tee | {{ # Remove strings and comments sed 's/#/@/g;s/\\[\\"'\'']/@/g;s/"[^"]*"/""/g;'"s/'[^']*'/''/g" | cpp -P | tee | {{ # Structure definitions echo -n 'NSTRUCT: ' egrep -c 'struct[ ]*{|struct[ ]*[a-zA-Z_][a-zA-Z0-9_]*[ ]*{' #}} (match preceding openings) # Type definitions echo -n 'NTYPEDEF: ' grep -cw typedef # Use of void echo -n 'NVOID: ' grep -cw void # Use of gets echo -n 'NGETS: ' grep -cw gets # Average identifier length echo -n 'IDLEN: ' tr -cs 'A-Za-z0-9_' '\n' | sort -u | awk '/^[A-Za-z]/ { len += length($1); n++ } END { if (n>0) print len / n; else print 0; }' }} # Lines and characters echo -n 'CHLINESCHAR: ' wc -lc | awk '{OFS=":"; print $1, $2}' # Non-comment characters (rounded thousands) # -traditional avoids expansion of tabs # We round it to avoid failing due to minor # differences between preprocessors in regression # testing echo -n 'NCCHAR: ' sed 's/#/@/g' | cpp -traditional -P | wc -c | awk '{OFMT = "%.0f"; print $1/1000}' # Number of comments echo -n 'NCOMMENT: ' egrep -c '/\*|//' # Occurences of the word Copyright echo -n 'NCOPYRIGHT: ' grep -ci copyright }} }} # C files find "$@" -name \*.c -type f -print0 | tee | {{ # Convert to newline separation for counting tr \\0 \\n | tee | {{ # Number of C files echo -n 'NCFILE: ' wc -l # Number of directories containing C files echo -n 'NCDIR: ' sed 's,/[^/]*$,,;s,^.*/,,' | sort -u | wc -l }} # C code xargs -0 /bin/cat | tee | {{ # Lines and characters echo -n 'CLINESCHAR: ' wc -lc | awk '{OFS=":"; print $1, $2}' # C code without comments and strings sed 's/#/@/g;s/\\[\\"'\'']/@/g;s/"[^"]*"/""/g;'"s/'[^']*'/''/g" | cpp -P | tee | {{ # Number of functions echo -n 'NFUNCTION: ' grep -c '^{' # Number of gotos echo -n 'NGOTO: ' grep -cw goto # Occurrences of the register keyword echo -n 'NREGISTER: ' grep -cw register # Number of macro definitions echo -n 'NMACRO: ' grep -c '@[ ]*define[ ][ ]*[a-zA-Z_][a-zA-Z0-9_]*(' # Number of include directives echo -n 'NINCLUDE: ' grep -c '@[ ]*include' # Number of constants echo -n 'NCONST: ' grep -ohw '[0-9][x0-9][0-9a-f]*' | wc -l }} }} }} # Header files echo -n 'NHFILE: ' find "$@" -name \*.h -type f | wc -l }} | # Gather and print the results cat
List the names of duplicate files in the specified directory. Demonstrates the combination of streams with a relational join.
#!/usr/bin/env dgsh # Create list of files find "$@" -type f | # Produce lines of the form # MD5(filename)= 811bfd4b5974f39e986ddc037e1899e7 xargs openssl md5 | # Convert each line into a "filename md5sum" pair sed 's/^MD5(//;s/)= / /' | # Sort by MD5 sum sort -k2 | tee | {{ # Print an MD5 sum for each file that appears more than once awk '{print $2}' | uniq -d # Promote the stream to gather it cat }} | # Join the repeated MD5 sums with the corresponding file names # Join expects two inputs, second will come from scatter # XXX make streaming input identifiers transparent to users join -2 2 | # Output same files on a single line awk ' BEGIN {ORS=""} $1 != prev && prev {print "\n"} END {if (prev) print "\n"} {if (prev) print " "; prev = $1; print $2}'
Highlight the words that are misspelled in the command's first argument. Demonstrates stream processing with multipipes and the avoidance of pass-through constructs to avoid deadlocks.
#!/usr/bin/env dgsh export LC_ALL=C tee | {{ # Find errors {{ # Obtain list of words in text tr -cs A-Za-z \\n | tr A-Z a-z | sort -u # Ensure dictionary is compatibly sorted sort /usr/share/dict/words }} | # List errors as a set difference comm -23 # Pass through text cat }} | grep --fixed-strings --file=- --ignore-case --color --word-regex --context=2
Read text from the standard input and list words containing a two-letter palindrome, words containing four consonants, and words longer than 12 characters.
#!/usr/bin/env dgsh # Consistent sorting across machines export LC_ALL=C # Stream input from file cat $1 | # Split input one word per line tr -cs a-zA-Z \\n | # Create list of unique words sort -u | tee | {{ # Pass through the original words cat # List two-letter palindromes sed 's/.*\(.\)\(.\)\2\1.*/p: \1\2-\2\1/;t g' # List four consecutive consonants sed -E 's/.*([^aeiouyAEIOUY]{4}).*/c: \1/;t g' # List length of words longer than 12 characters awk '{if (length($1) > 12) print "l:", length($1); else print ""}' }} | # Paste the four streams side-by-side paste | # List only words satisfying one or more properties fgrep :
Creates a report for a fixed-size web log file read from the standard input. Demonstrates the combined use of multipipe blocks, writeval and readval to store and retrieve values, and functions in the scatter block. Used to measure throughput increase achieved through parallelism.
#!/usr/bin/env dgsh # Output the top X elements of the input by the number of their occurrences # X is the first argument toplist() { uniq -c | sort -rn | head -$1 echo } # Output the argument as a section header header() { echo echo "$1" echo "$1" | sed 's/./-/g' } # Consistent sorting export LC_ALL=C export -f toplist export -f header if [ -z "${DGSH_DRAW_EXIT}" ] then cat <<EOF WWW server statistics ===================== Summary ------- EOF fi tee | {{ # Number of accesses echo -n 'Number of accesses: ' dgsh-readval -l -s nAccess # Number of transferred bytes awk '{s += $NF} END {print s}' | tee | {{ echo -n 'Number of Gbytes transferred: ' awk '{print $1 / 1024 / 1024 / 1024}' dgsh-writeval -s nXBytes }} echo -n 'Number of hosts: ' dgsh-readval -l -q -s nHosts echo -n 'Number of domains: ' dgsh-readval -l -q -s nDomains echo -n 'Number of top level domains: ' dgsh-readval -l -q -s nTLDs echo -n 'Number of different pages: ' dgsh-readval -l -q -s nUniqPages echo -n 'Accesses per day: ' dgsh-readval -l -q -s nDayAccess echo -n 'MBytes per day: ' dgsh-readval -l -q -s nDayMB # Number of log file bytes echo -n 'MBytes log file size: ' wc -c | awk '{print $1 / 1024 / 1024}' # Host names awk '{print $1}' | tee | {{ # Number of accesses wc -l | dgsh-writeval -s nAccess # Sorted hosts sort | tee | {{ # Unique hosts uniq | tee | {{ # Number of hosts wc -l | dgsh-writeval -s nHosts # Number of TLDs awk -F. '$NF !~ /[0-9]/ {print $NF}' | sort -u | wc -l | dgsh-writeval -s nTLDs }} # Top 10 hosts {{ call 'header "Top 10 Hosts"' call 'toplist 10' }} }} # Top 20 TLDs {{ call 'header "Top 20 Level Domain Accesses"' awk -F. '$NF !~ /^[0-9]/ {print $NF}' | sort | call 'toplist 20' }} # Domains awk -F. 'BEGIN {OFS = "."} $NF !~ /^[0-9]/ {$1 = ""; print}' | sort | tee | {{ # Number of domains uniq | wc -l | dgsh-writeval -s nDomains # Top 10 domains {{ call 'header "Top 10 Domains"' call 'toplist 10' }} }} }} # Hosts by volume {{ call 'header "Top 10 Hosts by Transfer"' awk ' {bytes[$1] += $NF} END {for (h in bytes) print bytes[h], h}' | sort -rn | head -10 }} # Sorted page name requests awk '{print $7}' | sort | tee | {{ # Top 20 area requests (input is already sorted) {{ call 'header "Top 20 Area Requests"' awk -F/ '{print $2}' | call 'toplist 20' }} # Number of different pages uniq | wc -l | dgsh-writeval -s nUniqPages # Top 20 requests {{ call 'header "Top 20 Requests"' call 'toplist 20' }} }} # Access time: dd/mmm/yyyy:hh:mm:ss awk '{print substr($4, 2)}' | tee | {{ # Just dates awk -F: '{print $1}' | tee | {{ # Number of days uniq | wc -l | tee | {{ awk ' BEGIN { "dgsh-readval -l -x -s nAccess" | getline NACCESS;} {print NACCESS / $1}' | dgsh-writeval -s nDayAccess awk ' BEGIN { "dgsh-readval -l -x -q -s nXBytes" | getline NXBYTES;} {print NXBYTES / $1 / 1024 / 1024}' | dgsh-writeval -s nDayMB }} {{ call 'header "Accesses by Date"' uniq -c }} # Accesses by day of week {{ call 'header "Accesses by Day of Week"' sed 's|/|-|g' | call '(date -f - +%a 2>/dev/null || gdate -f - +%a)' | sort | uniq -c | sort -rn }} }} # Hour {{ call 'header "Accesses by Local Hour"' awk -F: '{print $2}' | sort | uniq -c }} }} dgsh-readval -q -s nAccess }} | cat
Read text from the standard input and create files containing word, character, digram, and trigram frequencies.
#!/usr/bin/env dgsh # Consistent sorting across machines export LC_ALL=C # Convert input into a ranked frequency list ranked_frequency() { awk '{count[$1]++} END {for (i in count) print count[i], i}' | # We want the standard sort here sort -rn } # Convert standard input to a ranked frequency list of specified n-grams ngram() { local N=$1 perl -ne 'for ($i = 0; $i < length($_) - '$N'; $i++) { print substr($_, $i, '$N'), "\n"; }' | ranked_frequency } export -f ranked_frequency export -f ngram tee | {{ # Split input one word per line tr -cs a-zA-Z \\n | tee | {{ # Digram frequency call 'ngram 2 >digram.txt' # Trigram frequency call 'ngram 3 >trigram.txt' # Word frequency call 'ranked_frequency >words.txt' }} # Store number of characters to use in awk below wc -c | dgsh-writeval -s nchars # Character frequency sed 's/./&\ /g' | # Print absolute call 'ranked_frequency' | awk 'BEGIN { "dgsh-readval -l -x -q -s nchars" | getline NCHARS OFMT = "%.2g%%"} {print $1, $2, $1 / NCHARS * 100}' > character.txt }}
Given as an argument a directory containing object files, show which symbols are declared with global visibility, but should have been declared with file-local (static) visibility instead. Demonstrates the use of dgsh-capable comm (1) to combine data from two sources.
#!/usr/bin/env dgsh # Find object files find "$1" -name \*.o | # Print defined symbols xargs nm | tee | {{ # List all defined (exported) symbols awk 'NF == 3 && $2 ~ /[A-Z]/ {print $3}' | sort # List all undefined (imported) symbols awk '$1 == "U" {print $2}' | sort }} | # Print exports that are not imported comm -23
Given two directory hierarchies A and B passed as input arguments (where these represent a project at different parts of its lifetime) copy the files of hierarchy A to a new directory, passed as a third argument, corresponding to the structure of directories in B. Demonstrates the use of join to process results from two inputs and the use of gather to order asynchronously produced results.
#!/usr/bin/env dgsh if [ -z "${DGSH_DRAW_EXIT}" -a \( ! -d "$1" -o ! -d "$2" -o -z "$3" \) ] then echo "Usage: $0 dir-1 dir-2 new-dir-name" 1>&2 exit 1 fi NEWDIR="$3" export LC_ALL=C line_signatures() { find $1 -type f -name '*.[chly]' -print | # Split path name into directory and file sed 's|\(.*\)/\([^/]*\)|\1 \2|' | while read dir file do # Print "directory filename content" of lines with # at least one alphabetic character # The fields are separated by and sed -n "/[a-z]/s|^|$dir$file|p" "$dir/$file" done | # Error: multi-character tab '\001\001' sort -T `pwd` -t -k 2 } export -f line_signatures {{ # Generate the signatures for the two hierarchies call 'line_signatures "$1"' -- "$1" call 'line_signatures "$1"' -- "$2" }} | # Join signatures on file name and content join -t -1 2 -2 2 | # Print filename dir1 dir2 sed 's///g' | awk -F 'BEGIN{OFS=" "}{print $1, $3, $4}' | # Unique occurrences sort -u | tee | {{ # Commands to copy awk '{print "mkdir -p '$NEWDIR'/" $3 ""}' | sort -u awk '{print "cp " $2 "/" $1 " '$NEWDIR'/" $3 "/" $1 ""}' }} | # Order: first make directories, then copy files # TODO: dgsh-tee does not pass along first incoming stream cat | sh
Process the Git history, and create two PNG diagrams depicting committer activity over time. The most active committers appear at the center vertical of the diagram. Demonstrates image processing, mixining of synchronous and asynchronous processing in a scatter block, and the use of an dgsh-compliant join command.
#!/usr/bin/env dgsh # Commit history in the form of ascending Unix timestamps, emails git log --pretty=tformat:'%at %ae' | # Filter records according to timestamp: keep (100000, now) seconds awk 'NF == 2& $1 > 100000& $1 < '`date +%s` | sort -n | tee | {{ {{ # Calculate number of committers awk '{print $2}' | sort -u | wc -l | tee | {{ dgsh-writeval -s committers1 dgsh-writeval -s committers2 dgsh-writeval -s committers3 }} # Calculate last commit timestamp in seconds tail -1 | awk '{print $1}' # Calculate first commit timestamp in seconds head -1 | awk '{print $1}' }} | # Gather last and first commit timestamp cat | # Make one space-delimeted record tr '\n' ' ' | # Compute the difference in days awk '{print int(($1 - $2) / 60 / 60 / 24)}' | # Store number of days dgsh-writeval -s days sort -k2 # <timestamp, email> # Place committers left/right of the median # according to the number of their commits awk '{print $2}' | sort | uniq -c | sort -n | awk ' BEGIN { "dgsh-readval -l -x -q -s committers1" | getline NCOMMITTERS l = 0; r = NCOMMITTERS;} {print NR % 2 ? l++ : --r, $2}' | sort -k2 # <left/right, email> }} | # Join committer positions with commit time stamps # based on committer email join -j 2 | # <email, timestamp, left/right> # Order by timestamp sort -k 2n | tee | {{ # Create portable bitmap echo 'P1' {{ dgsh-readval -l -q -s committers2 dgsh-readval -l -q -s days }} | cat | tr '\n' ' ' | awk '{print $1, $2}' perl -na -e ' BEGIN { open(my $ncf, "-|", "dgsh-readval -l -x -q -s committers3"); $ncommitters = <$ncf>; @empty[$ncommitters - 1] = 0; @committers = @empty; } sub out { print join("", map($_ ? "1" : "0", @committers)), "\n"; } $day = int($F[1] / 60 / 60 / 24); $pday = $day if (!defined($pday)); while ($day != $pday) { out(); @committers = @empty; $pday++; } $committers[$F[2]] = 1; END { out(); } ' }} | cat | # Enlarge points into discs through morphological convolution pgmmorphconv -erode <( cat <<EOF P1 7 7 1 1 1 0 1 1 1 1 1 0 0 0 1 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 1 1 1 0 0 0 1 1 1 1 1 0 1 1 1 EOF ) | tee | {{ # Full-scale image pnmtopng >large.png # A smaller image pamscale -width 640 | pnmtopng >small.png }}
Count number of times each word appears in the specified input file(s) Demonstrates parallel execution mirroring the Hadoop WordCount example via the dgsh-parallel command. In contrast to GNU parallel, the block generated by dgsh-parallel has N input and output streams, which can be combined by any dgsh-compatible tool, such as dgsh-merge-sum or sort -m.
#!/usr/bin/env dgsh # Number of processes N=8 # Collation order for sorting export LC_ALL=C # Scatter input dgsh-tee -s | # Emulate Java's default StringTokenizer, sort, count dgsh-parallel -n $N "tr -s ' \t\n\r\f' '\n' | sort -S 512M | uniq -c" | # Merge sorted counts by providing N input channels dgsh-merge-sum $(for i in $(seq $N) ; do printf '<| ' ; done)
Given the specification of two publication venues, read a compressed DBLP computer science bibliography from the standard input (e.g. piped from curl -s http://dblp.uni-trier.de/xml/dblp.xml.gz or from a locally cached copy) and output the number of papers published in each of the two venues as well as the number of authors who have published only in the first venue, the number who have published only in the second one, and authors who have published in both. The venues are specified through the script's first two command-line arguments as a DBLP key prefix, e.g. journals/acta/, conf/icse/, journals/software/, conf/iwpc/, or conf/msr/. Demonstrates the use of dgsh-wrap -e to have sed(1) create two output streams and the use of tee to copy a pair of streams into four ones.
#!/usr/bin/env dgsh # Extract and sort author names sorted_authors() { sed -n 's/<author>\([^<]*\)<\/author>/\1/p' | sort } # Escape a string to make it a valid sed(1) pattern escape() { echo "$1" | sed 's/\([/\\]\)/\\\1/g' } export -f sorted_authors if [ ! "$2" -a ! "$DGSH_DOT_DRAW"] ; then echo "Usage: $0 key1 key2" 1>&2 echo "Example: $0 conf/icse/ journals/software/" 1>&2 exit 1 fi gzip -dc | # Output the two venue authors as two output streams dgsh-wrap -e sed -n " /^<.*key=\"$(escape $1)/,/<title>/ w >| /^<.*key=\"$(escape $2)/,/<title>/ w >|" | # 2 streams in 4 streams out: venue1, venue2, venue1, venue2 tee | {{ {{ echo -n "$1 papers: " grep -c '^<.* mdate=.* key=' echo -n "$2 papers: " grep -c '^<.* mdate=.* key=' }} {{ call sorted_authors call sorted_authors }} | comm | {{ echo -n "Authors only in $1: " wc -l echo -n "Authors only in $2: " wc -l echo -n 'Authors common in both venues: ' wc -l }} }} | cat
Create two graphs: 1) a broadened pulse and the real part of its 2D Fourier transform, and 2) a simulated air wave and the amplitude of its 2D Fourier transform. Demonstrates using the tools of the Madagascar shared research environment for computational data analysis in geophysics and related fields. Also demonstrates the use of two scatter blocks in the same script, and the used of named streams.
#!/usr/bin/env dgsh mkdir -p Fig # The SConstruct SideBySideIso "Result" method side_by_side_iso() { vppen size=r vpstyle=n gridnum=2,1 /dev/stdin $* } export -f side_by_side_iso # A broadened pulse and the real part of its 2D Fourier transform sfspike n1=64 n2=64 d1=1 d2=1 nsp=2 k1=16,17 k2=5,5 mag=16,16 \ label1='time' label2='space' unit1= unit2= | sfsmooth rect2=2 | sfsmooth rect2=2 | tee | {{ sfgrey pclip=100 wanttitle=n sffft1 | sffft3 axis=2 pad=1 | sfreal | tee | {{ sfwindow f1=1 | sfreverse which=3 cat }} | sfcat axis=1 "<|" | sfgrey pclip=100 wanttitle=n label1="1/time" label2="1/space" }} | call_with_stdin side_by_side_iso '<|' yscale=1.25 >Fig/ft2dofpulse.vpl # A simulated air wave and the amplitude of its 2D Fourier transform sfspike n1=64 d1=1 o1=32 nsp=4 k1=1,2,3,4 mag=1,3,3,1 \ label1='time' unit1= | sfspray n=32 d=1 o=0 | sfput label2=space | sflmostretch delay=0 v0=-1 | tee | {{ sfwindow f2=1 | sfreverse which=2 cat }} | sfcat axis=2 "<|" | tee | {{ sfgrey pclip=100 wanttitle=n sffft1 | sffft3 sign=1 | tee | {{ sfreal sfimag }} | dgsh-wrap -e sfmath nostdin=y re="<|" im="<|" \ output="sqrt(re*re+im*im)" | tee | {{ sfwindow f1=1 | sfreverse which=3 cat }} | sfcat axis=1 "<|" | sfgrey pclip=100 wanttitle=n label1="1/time" label2="1/space" }} | call_with_stdin side_by_side_iso '<|' yscale=1.25 >Fig/airwave.vpl wait
Nuclear magnetic resonance in-phase/anti-phase channel conversion and processing in heteronuclear single quantum coherence spectroscopy. Demonstrate processing of NMR data using the NMRPipe family of programs.
#!/usr/bin/env dgsh # The conversion is configured for the following file: # http://www.bmrb.wisc.edu/ftp/pub/bmrb/timedomain/bmr6443/timedomain_data/c13-hsqc/june11-se-6426-CA.fid/fid var2pipe -in $1 \ -xN 1280 -yN 256 \ -xT 640 -yT 128 \ -xMODE Complex -yMODE Complex \ -xSW 8000 -ySW 6000 \ -xOBS 599.4489584 -yOBS 60.7485301 \ -xCAR 4.73 -yCAR 118.000 \ -xLAB 1H -yLAB 15N \ -ndim 2 -aq2D States \ -verb | tee | {{ # IP/AP channel conversion # See http://tech.groups.yahoo.com/group/nmrpipe/message/389 nmrPipe | nmrPipe -fn SOL | nmrPipe -fn SP -off 0.5 -end 0.98 -pow 2 -c 0.5 | nmrPipe -fn ZF -auto | nmrPipe -fn FT | nmrPipe -fn PS -p0 177 -p1 0.0 -di | nmrPipe -fn EXT -left -sw -verb | nmrPipe -fn TP | nmrPipe -fn COADD -cList 1 0 -time | nmrPipe -fn SP -off 0.5 -end 0.98 -pow 1 -c 0.5 | nmrPipe -fn ZF -auto | nmrPipe -fn FT | nmrPipe -fn PS -p0 0 -p1 0 -di | nmrPipe -fn TP | nmrPipe -fn POLY -auto -verb >A nmrPipe | nmrPipe -fn SOL | nmrPipe -fn SP -off 0.5 -end 0.98 -pow 2 -c 0.5 | nmrPipe -fn ZF -auto | nmrPipe -fn FT | nmrPipe -fn PS -p0 177 -p1 0.0 -di | nmrPipe -fn EXT -left -sw -verb | nmrPipe -fn TP | nmrPipe -fn COADD -cList 0 1 -time | nmrPipe -fn SP -off 0.5 -end 0.98 -pow 1 -c 0.5 | nmrPipe -fn ZF -auto | nmrPipe -fn FT | nmrPipe -fn PS -p0 -90 -p1 0 -di | nmrPipe -fn TP | nmrPipe -fn POLY -auto -verb >B }} # We use temporary files rather than streams, because # addNMR mmaps its input files. The diagram displayed in the # example shows the notional data flow. if [ -z "${DGSH_DRAW_EXIT}" ] then addNMR -in1 A -in2 B -out A+B.dgsh.ft2 -c1 1.0 -c2 1.25 -add addNMR -in1 A -in2 B -out A-B.dgsh.ft2 -c1 1.0 -c2 1.25 -sub fi
Calculate the iterative FFT for n = 8 in parallel. Demonstrates combined use of permute and multipipe blocks.
#!/usr/bin/env dgsh dgsh-fft-input $1 | perm 1,5,3,7,2,6,4,8 | {{ {{ dgsh-w 1 0 dgsh-w 1 0 }} | perm 1,3,2,4 | {{ dgsh-w 2 0 dgsh-w 2 1 }} {{ dgsh-w 1 0 dgsh-w 1 0 }} | perm 1,3,2,4 | {{ dgsh-w 2 0 dgsh-w 2 1 }} }} | perm 1,5,3,7,2,6,4,8 | {{ dgsh-w 3 0 dgsh-w 3 1 dgsh-w 3 2 dgsh-w 3 3 }} | perm 1,5,2,6,3,7,4,8 | cat
Reorder columns in a CSV document. Demonstrates the combined use of tee, cut, and paste.
#!/usr/bin/env dgsh tee | {{ cut -d , -f 5-6 - cut -d , -f 2-4 - }} | paste -d ,
Windows-like DIR command for the current directory.
Nothing that couldn't be done with ls -l | awk
.
Demonstrates use of wrapped commands with no input (df, echo).
#!/usr/bin/env dgsh ls -n | tee | {{ # Reorder fields in DIR-like way awk '!/^total/ {print $6, $7, $8, $1, sprintf("%8d", $5), $9}' # Count number of files wc -l | tr -d \\n # Print label for number of files echo -n ' File(s) ' # Tally number of bytes awk '{s += $5} END {printf("%d bytes\n", s)}' # Count number of directories grep -c '^d' | tr -d \\n # Print label for number of dirs and calculate free bytes df -h . | awk '!/Use%/{print " Dir(s) " $4 " bytes free"}' }} | cat