Provided by: miller_5.6.2-1_amd64 
NAME
miller - like awk, sed, cut, join, and sort for name-indexed data such as CSV and tabular
JSON.
SYNOPSIS
Usage: mlr [I/O options] {verb} [verb-dependent options ...] {zero or more file names}
DESCRIPTION
Miller operates on key-value-pair data while the familiar Unix tools operate on integer-
indexed fields: if the natural data structure for the latter is the array, then Miller's
natural data structure is the insertion-ordered hash map. This encompasses a variety of
data formats, including but not limited to the familiar CSV, TSV, and JSON. (Miller can
handle positionally-indexed data as a special case.) This manpage documents Miller v5.6.2.
EXAMPLES
COMMAND-LINE SYNTAX
mlr --csv cut -f hostname,uptime mydata.csv
mlr --tsv --rs lf filter '$status != "down" && $upsec >= 10000' *.tsv
mlr --nidx put '$sum = $7 < 0.0 ? 3.5 : $7 + 2.1*$8' *.dat
grep -v '^#' /etc/group | mlr --ifs : --nidx --opprint label group,pass,gid,member then sort -f group
mlr join -j account_id -f accounts.dat then group-by account_name balances.dat
mlr --json put '$attr = sub($attr, "([0-9]+)_([0-9]+)_.*", "\1:\2")' data/*.json
mlr stats1 -a min,mean,max,p10,p50,p90 -f flag,u,v data/*
mlr stats2 -a linreg-pca -f u,v -g shape data/*
mlr put -q '@sum[$a][$b] += $x; end {emit @sum, "a", "b"}' data/*
mlr --from estimates.tbl put '
for (k,v in $*) {
if (is_numeric(v) && k =~ "^[t-z].*$") {
$sum += v; $count += 1
}
}
$mean = $sum / $count # no assignment if count unset'
mlr --from infile.dat put -f analyze.mlr
mlr --from infile.dat put 'tee > "./taps/data-".$a."-".$b, $*'
mlr --from infile.dat put 'tee | "gzip > ./taps/data-".$a."-".$b.".gz", $*'
mlr --from infile.dat put -q '@v=$*; dump | "jq .[]"'
mlr --from infile.dat put '(NR % 1000 == 0) { print > stderr, "Checkpoint ".NR}'
DATA FORMATS
DKVP: delimited key-value pairs (Miller default format)
+---------------------+
| apple=1,bat=2,cog=3 | Record 1: "apple" => "1", "bat" => "2", "cog" => "3"
| dish=7,egg=8,flint | Record 2: "dish" => "7", "egg" => "8", "3" => "flint"
+---------------------+
NIDX: implicitly numerically indexed (Unix-toolkit style)
+---------------------+
| the quick brown | Record 1: "1" => "the", "2" => "quick", "3" => "brown"
| fox jumped | Record 2: "1" => "fox", "2" => "jumped"
+---------------------+
CSV/CSV-lite: comma-separated values with separate header line
+---------------------+
| apple,bat,cog |
| 1,2,3 | Record 1: "apple => "1", "bat" => "2", "cog" => "3"
| 4,5,6 | Record 2: "apple" => "4", "bat" => "5", "cog" => "6"
+---------------------+
Tabular JSON: nested objects are supported, although arrays within them are not:
+---------------------+
| { |
| "apple": 1, | Record 1: "apple" => "1", "bat" => "2", "cog" => "3"
| "bat": 2, |
| "cog": 3 |
| } |
| { |
| "dish": { | Record 2: "dish:egg" => "7", "dish:flint" => "8", "garlic" => ""
| "egg": 7, |
| "flint": 8 |
| }, |
| "garlic": "" |
| } |
+---------------------+
PPRINT: pretty-printed tabular
+---------------------+
| apple bat cog |
| 1 2 3 | Record 1: "apple => "1", "bat" => "2", "cog" => "3"
| 4 5 6 | Record 2: "apple" => "4", "bat" => "5", "cog" => "6"
+---------------------+
XTAB: pretty-printed transposed tabular
+---------------------+
| apple 1 | Record 1: "apple" => "1", "bat" => "2", "cog" => "3"
| bat 2 |
| cog 3 |
| |
| dish 7 | Record 2: "dish" => "7", "egg" => "8"
| egg 8 |
+---------------------+
Markdown tabular (supported for output only):
+-----------------------+
| | apple | bat | cog | |
| | --- | --- | --- | |
| | 1 | 2 | 3 | | Record 1: "apple => "1", "bat" => "2", "cog" => "3"
| | 4 | 5 | 6 | | Record 2: "apple" => "4", "bat" => "5", "cog" => "6"
+-----------------------+
OPTIONS
In the following option flags, the version with "i" designates the input stream, "o" the
output stream, and the version without prefix sets the option for both input and output
stream. For example: --irs sets the input record separator, --ors the output record
separator, and --rs sets both the input and output separator to the given value.
HELP OPTIONS
-h or --help Show this message.
--version Show the software version.
{verb name} --help Show verb-specific help.
--help-all-verbs Show help on all verbs.
-l or --list-all-verbs List only verb names.
-L List only verb names, one per line.
-f or --help-all-functions Show help on all built-in functions.
-F Show a bare listing of built-in functions by name.
-k or --help-all-keywords Show help on all keywords.
-K Show a bare listing of keywords by name.
VERB LIST
altkv bar bootstrap cat check clean-whitespace count-distinct count-similar
cut decimate fill-down filter format-values fraction grep group-by group-like
having-fields head histogram join label least-frequent merge-fields
most-frequent nest nothing put regularize remove-empty-columns rename reorder
repeat reshape sample sec2gmt sec2gmtdate seqgen shuffle skip-trivial-records
sort stats1 stats2 step tac tail tee top uniq unsparsify
FUNCTION LIST
+ + - - * / // .+ .+ .- .- .* ./ .// % ** | ^ & ~ << >> bitcount == != =~ !=~
> >= < <= && || ^^ ! ? : . gsub regextract regextract_or_else strlen sub ssub
substr tolower toupper capitalize lstrip rstrip strip collapse_whitespace
clean_whitespace system abs acos acosh asin asinh atan atan2 atanh cbrt ceil
cos cosh erf erfc exp expm1 floor invqnorm log log10 log1p logifit madd max
mexp min mmul msub pow qnorm round roundm sgn sin sinh sqrt tan tanh urand
urandrange urand32 urandint dhms2fsec dhms2sec fsec2dhms fsec2hms gmt2sec
localtime2sec hms2fsec hms2sec sec2dhms sec2gmt sec2gmt sec2gmtdate
sec2localtime sec2localtime sec2localdate sec2hms strftime strftime_local
strptime strptime_local systime is_absent is_bool is_boolean is_empty
is_empty_map is_float is_int is_map is_nonempty_map is_not_empty is_not_map
is_not_null is_null is_numeric is_present is_string asserting_absent
asserting_bool asserting_boolean asserting_empty asserting_empty_map
asserting_float asserting_int asserting_map asserting_nonempty_map
asserting_not_empty asserting_not_map asserting_not_null asserting_null
asserting_numeric asserting_present asserting_string boolean float fmtnum
hexfmt int string typeof depth haskey joink joinkv joinv leafcount length
mapdiff mapexcept mapselect mapsum splitkv splitkvx splitnv splitnvx
Please use "mlr --help-function {function name}" for function-specific help.
I/O FORMATTING
--idkvp --odkvp --dkvp Delimited key-value pairs, e.g "a=1,b=2"
(this is Miller's default format).
--inidx --onidx --nidx Implicitly-integer-indexed fields
(Unix-toolkit style).
-T Synonymous with "--nidx --fs tab".
--icsv --ocsv --csv Comma-separated value (or tab-separated
with --fs tab, etc.)
--itsv --otsv --tsv Keystroke-savers for "--icsv --ifs tab",
"--ocsv --ofs tab", "--csv --fs tab".
--iasv --oasv --asv Similar but using ASCII FS 0x1f and RS 0x1e
--iusv --ousv --usv Similar but using Unicode FS U+241F (UTF-8 0xe2909f)
and RS U+241E (UTF-8 0xe2909e)
--icsvlite --ocsvlite --csvlite Comma-separated value (or tab-separated
with --fs tab, etc.). The 'lite' CSV does not handle
RFC-CSV double-quoting rules; is slightly faster;
and handles heterogeneity in the input stream via
empty newline followed by new header line. See also
http://johnkerl.org/miller/doc/file-formats.html#CSV/TSV/etc.
--itsvlite --otsvlite --tsvlite Keystroke-savers for "--icsvlite --ifs tab",
"--ocsvlite --ofs tab", "--csvlite --fs tab".
-t Synonymous with --tsvlite.
--iasvlite --oasvlite --asvlite Similar to --itsvlite et al. but using ASCII FS 0x1f and RS 0x1e
--iusvlite --ousvlite --usvlite Similar to --itsvlite et al. but using Unicode FS U+241F (UTF-8 0xe2909f)
and RS U+241E (UTF-8 0xe2909e)
--ipprint --opprint --pprint Pretty-printed tabular (produces no
output until all input is in).
--right Right-justifies all fields for PPRINT output.
--barred Prints a border around PPRINT output
(only available for output).
--omd Markdown-tabular (only available for output).
--ixtab --oxtab --xtab Pretty-printed vertical-tabular.
--xvright Right-justifies values for XTAB format.
--ijson --ojson --json JSON tabular: sequence or list of one-level
maps: {...}{...} or [{...},{...}].
--json-map-arrays-on-input JSON arrays are unmillerable. --json-map-arrays-on-input
--json-skip-arrays-on-input is the default: arrays are converted to integer-indexed
--json-fatal-arrays-on-input maps. The other two options cause them to be skipped, or
to be treated as errors. Please use the jq tool for full
JSON (pre)processing.
--jvstack Put one key-value pair per line for JSON
output.
--jlistwrap Wrap JSON output in outermost [ ].
--jknquoteint Do not quote non-string map keys in JSON output.
--jvquoteall Quote map values in JSON output, even if they're
numeric.
--jflatsep {string} Separator for flattening multi-level JSON keys,
e.g. '{"a":{"b":3}}' becomes a:b => 3 for
non-JSON formats. Defaults to :.
-p is a keystroke-saver for --nidx --fs space --repifs
--mmap --no-mmap --mmap-below {n} Use mmap for files whenever possible, never, or
for files less than n bytes in size. Default is for
files less than 4294967296 bytes in size.
'Whenever possible' means always except for when reading
standard input which is not mmappable. If you don't know
what this means, don't worry about it -- it's a minor
performance optimization.
Examples: --csv for CSV-formatted input and output; --idkvp --opprint for
DKVP-formatted input and pretty-printed output.
Please use --iformat1 --oformat2 rather than --format1 --oformat2.
The latter sets up input and output flags for format1, not all of which
are overridden in all cases by setting output format to format2.
COMMENTS IN DATA
--skip-comments Ignore commented lines (prefixed by "#")
within the input.
--skip-comments-with {string} Ignore commented lines within input, with
specified prefix.
--pass-comments Immediately print commented lines (prefixed by "#")
within the input.
--pass-comments-with {string} Immediately print commented lines within input, with
specified prefix.
Notes:
* Comments are only honored at the start of a line.
* In the absence of any of the above four options, comments are data like
any other text.
* When pass-comments is used, comment lines are written to standard output
immediately upon being read; they are not part of the record stream.
Results may be counterintuitive. A suggestion is to place comments at the
start of data files.
FORMAT-CONVERSION KEYSTROKE-SAVERS
As keystroke-savers for format-conversion you may use the following:
--c2t --c2d --c2n --c2j --c2x --c2p --c2m
--t2c --t2d --t2n --t2j --t2x --t2p --t2m
--d2c --d2t --d2n --d2j --d2x --d2p --d2m
--n2c --n2t --n2d --n2j --n2x --n2p --n2m
--j2c --j2t --j2d --j2n --j2x --j2p --j2m
--x2c --x2t --x2d --x2n --x2j --x2p --x2m
--p2c --p2t --p2d --p2n --p2j --p2x --p2m
The letters c t d n j x p m refer to formats CSV, TSV, DKVP, NIDX, JSON, XTAB,
PPRINT, and markdown, respectively. Note that markdown format is available for
output only.
COMPRESSED I/O
--prepipe {command} This allows Miller to handle compressed inputs. You can do
without this for single input files, e.g. "gunzip < myfile.csv.gz | mlr ...".
However, when multiple input files are present, between-file separations are
lost; also, the FILENAME variable doesn't iterate. Using --prepipe you can
specify an action to be taken on each input file. This pre-pipe command must
be able to read from standard input; it will be invoked with
{command} < {filename}.
Examples:
mlr --prepipe 'gunzip'
mlr --prepipe 'zcat -cf'
mlr --prepipe 'xz -cd'
mlr --prepipe cat
Note that this feature is quite general and is not limited to decompression
utilities. You can use it to apply per-file filters of your choice.
For output compression (or other) utilities, simply pipe the output:
mlr ... | {your compression command}
SEPARATORS
--rs --irs --ors Record separators, e.g. 'lf' or '\r\n'
--fs --ifs --ofs --repifs Field separators, e.g. comma
--ps --ips --ops Pair separators, e.g. equals sign
Notes about line endings:
* Default line endings (--irs and --ors) are "auto" which means autodetect from
the input file format, as long as the input file(s) have lines ending in either
LF (also known as linefeed, '\n', 0x0a, Unix-style) or CRLF (also known as
carriage-return/linefeed pairs, '\r\n', 0x0d 0x0a, Windows style).
* If both irs and ors are auto (which is the default) then LF input will lead to LF
output and CRLF input will lead to CRLF output, regardless of the platform you're
running on.
* The line-ending autodetector triggers on the first line ending detected in the input
stream. E.g. if you specify a CRLF-terminated file on the command line followed by an
LF-terminated file then autodetected line endings will be CRLF.
* If you use --ors {something else} with (default or explicitly specified) --irs auto
then line endings are autodetected on input and set to what you specify on output.
* If you use --irs {something else} with (default or explicitly specified) --ors auto
then the output line endings used are LF on Unix/Linux/BSD/MacOSX, and CRLF on Windows.
Notes about all other separators:
* IPS/OPS are only used for DKVP and XTAB formats, since only in these formats
do key-value pairs appear juxtaposed.
* IRS/ORS are ignored for XTAB format. Nominally IFS and OFS are newlines;
XTAB records are separated by two or more consecutive IFS/OFS -- i.e.
a blank line. Everything above about --irs/--ors/--rs auto becomes --ifs/--ofs/--fs
auto for XTAB format. (XTAB's default IFS/OFS are "auto".)
* OFS must be single-character for PPRINT format. This is because it is used
with repetition for alignment; multi-character separators would make
alignment impossible.
* OPS may be multi-character for XTAB format, in which case alignment is
disabled.
* TSV is simply CSV using tab as field separator ("--fs tab").
* FS/PS are ignored for markdown format; RS is used.
* All FS and PS options are ignored for JSON format, since they are not relevant
to the JSON format.
* You can specify separators in any of the following ways, shown by example:
- Type them out, quoting as necessary for shell escapes, e.g.
"--fs '|' --ips :"
- C-style escape sequences, e.g. "--rs '\r\n' --fs '\t'".
- To avoid backslashing, you can use any of the following names:
cr crcr newline lf lflf crlf crlfcrlf tab space comma pipe slash colon semicolon equals
* Default separators by format:
File format RS FS PS
gen N/A (N/A) (N/A)
dkvp auto , =
json auto (N/A) (N/A)
nidx auto space (N/A)
csv auto , (N/A)
csvlite auto , (N/A)
markdown auto (N/A) (N/A)
pprint auto space (N/A)
xtab (N/A) auto space
CSV-SPECIFIC OPTIONS
--implicit-csv-header Use 1,2,3,... as field labels, rather than from line 1
of input files. Tip: combine with "label" to recreate
missing headers.
--allow-ragged-csv-input|--ragged If a data line has fewer fields than the header line,
fill remaining keys with empty string. If a data line has more
fields than the header line, use integer field labels as in
the implicit-header case.
--headerless-csv-output Print only CSV data lines.
-N Keystroke-saver for --implicit-csv-header --headerless-csv-output.
DOUBLE-QUOTING FOR CSV/CSVLITE OUTPUT
--quote-all Wrap all fields in double quotes
--quote-none Do not wrap any fields in double quotes, even if they have
OFS or ORS in them
--quote-minimal Wrap fields in double quotes only if they have OFS or ORS
in them (default)
--quote-numeric Wrap fields in double quotes only if they have numbers
in them
--quote-original Wrap fields in double quotes if and only if they were
quoted on input. This isn't sticky for computed fields:
e.g. if fields a and b were quoted on input and you do
"put '$c = $a . $b'" then field c won't inherit a or b's
was-quoted-on-input flag.
NUMERICAL FORMATTING
--ofmt {format} E.g. %.18lf, %.0lf. Please use sprintf-style codes for
double-precision. Applies to verbs which compute new
values, e.g. put, stats1, stats2. See also the fmtnum
function within mlr put (mlr --help-all-functions).
Defaults to %lf.
OTHER OPTIONS
--seed {n} with n of the form 12345678 or 0xcafefeed. For put/filter
urand()/urandint()/urand32().
--nr-progress-mod {m}, with m a positive integer: print filename and record
count to stderr every m input records.
--from {filename} Use this to specify an input file before the verb(s),
rather than after. May be used more than once. Example:
"mlr --from a.dat --from b.dat cat" is the same as
"mlr cat a.dat b.dat".
-n Process no input files, nor standard input either. Useful
for mlr put with begin/end statements only. (Same as --from
/dev/null.) Also useful in "mlr -n put -v '...'" for
analyzing abstract syntax trees (if that's your thing).
-I Process files in-place. For each file name on the command
line, output is written to a temp file in the same
directory, which is then renamed over the original. Each
file is processed in isolation: if the output format is
CSV, CSV headers will be present in each output file;
statistics are only over each file's own records; and so on.
THEN-CHAINING
Output of one verb may be chained as input to another using "then", e.g.
mlr stats1 -a min,mean,max -f flag,u,v -g color then sort -f color
AUXILIARY COMMANDS
Miller has a few otherwise-standalone executables packaged within it.
They do not participate in any other parts of Miller.
Available subcommands:
aux-list
lecat
termcvt
hex
unhex
netbsd-strptime
For more information, please invoke mlr {subcommand} --help
VERBS
altkv
Usage: mlr altkv [no options]
Given fields with values of the form a,b,c,d,e,f emits a=b,c=d,e=f pairs.
bar
Usage: mlr bar [options]
Replaces a numeric field with a number of asterisks, allowing for cheesy
bar plots. These align best with --opprint or --oxtab output format.
Options:
-f {a,b,c} Field names to convert to bars.
-c {character} Fill character: default '*'.
-x {character} Out-of-bounds character: default '#'.
-b {character} Blank character: default '.'.
--lo {lo} Lower-limit value for min-width bar: default '0.000000'.
--hi {hi} Upper-limit value for max-width bar: default '100.000000'.
-w {n} Bar-field width: default '40'.
--auto Automatically computes limits, ignoring --lo and --hi.
Holds all records in memory before producing any output.
bootstrap
Usage: mlr bootstrap [options]
Emits an n-sample, with replacement, of the input records.
Options:
-n {number} Number of samples to output. Defaults to number of input records.
Must be non-negative.
See also mlr sample and mlr shuffle.
cat
Usage: mlr cat [options]
Passes input records directly to output. Most useful for format conversion.
Options:
-n Prepend field "n" to each record with record-counter starting at 1
-g {comma-separated field name(s)} When used with -n/-N, writes record-counters
keyed by specified field name(s).
-v Write a low-level record-structure dump to stderr.
-N {name} Prepend field {name} to each record with record-counter starting at 1
check
Usage: mlr check
Consumes records without printing any output.
Useful for doing a well-formatted check on input data.
clean-whitespace
Usage: mlr clean-whitespace [options] {old1,new1,old2,new2,...}
For each record, for each field in the record, whitespace-cleans the keys and
values. Whitespace-cleaning entails stripping leading and trailing whitespace,
and replacing multiple whitespace with singles. For finer-grained control,
please see the DSL functions lstrip, rstrip, strip, collapse_whitespace,
and clean_whitespace.
Options:
-k|--keys-only Do not touch values.
-v|--values-only Do not touch keys.
It is an error to specify -k as well as -v.
count-distinct
Usage: mlr count-distinct [options]
Prints number of records having distinct values for specified field names.
Same as uniq -c.
Options:
-f {a,b,c} Field names for distinct count.
-n Show only the number of distinct values. Not compatible with -u.
-o {name} Field name for output count. Default "count".
Ignored with -u.
-u Do unlashed counts for multiple field names. With -f a,b and
without -u, computes counts for distinct combinations of a
and b field values. With -f a,b and with -u, computes counts
for distinct a field values and counts for distinct b field
values separately.
count-similar
Usage: mlr count-similar [options]
Ingests all records, then emits each record augmented by a count of
the number of other records having the same group-by field values.
Options:
-g {d,e,f} Group-by-field names for counts.
-o {name} Field name for output count. Default "count".
cut
Usage: mlr cut [options]
Passes through input records with specified fields included/excluded.
-f {a,b,c} Field names to include for cut.
-o Retain fields in the order specified here in the argument list.
Default is to retain them in the order found in the input data.
-x|--complement Exclude, rather than include, field names specified by -f.
-r Treat field names as regular expressions. "ab", "a.*b" will
match any field name containing the substring "ab" or matching
"a.*b", respectively; anchors of the form "^ab$", "^a.*b$" may
be used. The -o flag is ignored when -r is present.
Examples:
mlr cut -f hostname,status
mlr cut -x -f hostname,status
mlr cut -r -f '^status$,sda[0-9]'
mlr cut -r -f '^status$,"sda[0-9]"'
mlr cut -r -f '^status$,"sda[0-9]"i' (this is case-insensitive)
decimate
Usage: mlr decimate [options]
-n {count} Decimation factor; default 10
-b Decimate by printing first of every n.
-e Decimate by printing last of every n (default).
-g {a,b,c} Optional group-by-field names for decimate counts
Passes through one of every n records, optionally by category.
fill-down
Usage: mlr fill-down [options]
-f {a,b,c} Field names for fill-down
-a|--only-if-absent Field names for fill-down
If a given record has a missing value for a given field, fill that from
the corresponding value from a previous record, if any.
By default, a 'missing' field either is absent, or has the empty-string value.
With -a, a field is 'missing' only if it is absent.
filter
Usage: mlr filter [options] {expression}
Prints records for which {expression} evaluates to true.
If there are multiple semicolon-delimited expressions, all of them are
evaluated and the last one is used as the filter criterion.
Conversion options:
-S: Keeps field values as strings with no type inference to int or float.
-F: Keeps field values as strings or floats with no inference to int.
All field values are type-inferred to int/float/string unless this behavior is
suppressed with -S or -F.
Output/formatting options:
--oflatsep {string}: Separator to use when flattening multi-level @-variables
to output records for emit. Default ":".
--jknquoteint: For dump output (JSON-formatted), do not quote map keys if non-string.
--jvquoteall: For dump output (JSON-formatted), quote map values even if non-string.
Any of the output-format command-line flags (see mlr -h). Example: using
mlr --icsv --opprint ... then put --ojson 'tee > "mytap-".$a.".dat", $*' then ...
the input is CSV, the output is pretty-print tabular, but the tee-file output
is written in JSON format.
--no-fflush: for emit, tee, print, and dump, don't call fflush() after every
record.
Expression-specification options:
-f {filename}: the DSL expression is taken from the specified file rather
than from the command line. Outer single quotes wrapping the expression
should not be placed in the file. If -f is specified more than once,
all input files specified using -f are concatenated to produce the expression.
(For example, you can define functions in one file and call them from another.)
-e {expression}: You can use this after -f to add an expression. Example use
case: define functions/subroutines in a file you specify with -f, then call
them with an expression you specify with -e.
(If you mix -e and -f then the expressions are evaluated in the order encountered.
Since the expression pieces are simply concatenated, please be sure to use intervening
semicolons to separate expressions.)
Tracing options:
-v: Prints the expressions's AST (abstract syntax tree), which gives
full transparency on the precedence and associativity rules of
Miller's grammar, to stdout.
-a: Prints a low-level stack-allocation trace to stdout.
-t: Prints a low-level parser trace to stderr.
-T: Prints a every statement to stderr as it is executed.
Other options:
-x: Prints records for which {expression} evaluates to false.
Please use a dollar sign for field names and double-quotes for string
literals. If field names have special characters such as "." then you might
use braces, e.g. '${field.name}'. Miller built-in variables are
NF NR FNR FILENUM FILENAME M_PI M_E, and ENV["namegoeshere"] to access environment
variables. The environment-variable name may be an expression, e.g. a field
value.
Use # to comment to end of line.
Examples:
mlr filter 'log10($count) > 4.0'
mlr filter 'FNR == 2 (second record in each file)'
mlr filter 'urand() < 0.001' (subsampling)
mlr filter '$color != "blue" && $value > 4.2'
mlr filter '($x<.5 && $y<.5) || ($x>.5 && $y>.5)'
mlr filter '($name =~ "^sys.*east$") || ($name =~ "^dev.[0-9]+"i)'
mlr filter '$ab = $a+$b; $cd = $c+$d; $ab != $cd'
mlr filter '
NR == 1 ||
#NR == 2 ||
NR == 3
'
Please see http://johnkerl.org/miller/doc/reference.html for more information
including function list. Or "mlr -f". Please also also "mlr grep" which is
useful when you don't yet know which field name(s) you're looking for.
format-values
Usage: mlr format-values [options]
Applies format strings to all field values, depending on autodetected type.
* If a field value is detected to be integer, applies integer format.
* Else, if a field value is detected to be float, applies float format.
* Else, applies string format.
Note: this is a low-keystroke way to apply formatting to many fields. To get
finer control, please see the fmtnum function within the mlr put DSL.
Note: this verb lets you apply arbitrary format strings, which can produce
undefined behavior and/or program crashes. See your system's "man printf".
Options:
-i {integer format} Defaults to "%lld".
Examples: "%06lld", "%08llx".
Note that Miller integers are long long so you must use
formats which apply to long long, e.g. with ll in them.
Undefined behavior results otherwise.
-f {float format} Defaults to "%lf".
Examples: "%8.3lf", "%.6le".
Note that Miller floats are double-precision so you must
use formats which apply to double, e.g. with l[efg] in them.
Undefined behavior results otherwise.
-s {string format} Defaults to "%s".
Examples: "_%s", "%08s".
Note that you must use formats which apply to string, e.g.
with s in them. Undefined behavior results otherwise.
-n Coerce field values autodetected as int to float, and then
apply the float format.
fraction
Usage: mlr fraction [options]
For each record's value in specified fields, computes the ratio of that
value to the sum of values in that field over all input records.
E.g. with input records x=1 x=2 x=3 and x=4, emits output records
x=1,x_fraction=0.1 x=2,x_fraction=0.2 x=3,x_fraction=0.3 and x=4,x_fraction=0.4
Note: this is internally a two-pass algorithm: on the first pass it retains
input records and accumulates sums; on the second pass it computes quotients
and emits output records. This means it produces no output until all input is read.
Options:
-f {a,b,c} Field name(s) for fraction calculation
-g {d,e,f} Optional group-by-field name(s) for fraction counts
-p Produce percents [0..100], not fractions [0..1]. Output field names
end with "_percent" rather than "_fraction"
-c Produce cumulative distributions, i.e. running sums: each output
value folds in the sum of the previous for the specified group
E.g. with input records x=1 x=2 x=3 and x=4, emits output records
x=1,x_cumulative_fraction=0.1 x=2,x_cumulative_fraction=0.3
x=3,x_cumulative_fraction=0.6 and x=4,x_cumulative_fraction=1.0
grep
Usage: mlr grep [options] {regular expression}
Passes through records which match {regex}.
Options:
-i Use case-insensitive search.
-v Invert: pass through records which do not match the regex.
Note that "mlr filter" is more powerful, but requires you to know field names.
By contrast, "mlr grep" allows you to regex-match the entire record. It does
this by formatting each record in memory as DKVP, using command-line-specified
ORS/OFS/OPS, and matching the resulting line against the regex specified
here. In particular, the regex is not applied to the input stream: if you
have CSV with header line "x,y,z" and data line "1,2,3" then the regex will
be matched, not against either of these lines, but against the DKVP line
"x=1,y=2,z=3". Furthermore, not all the options to system grep are supported,
and this command is intended to be merely a keystroke-saver. To get all the
features of system grep, you can do
"mlr --odkvp ... | grep ... | mlr --idkvp ..."
group-by
Usage: mlr group-by {comma-separated field names}
Outputs records in batches having identical values at specified field names.
group-like
Usage: mlr group-like
Outputs records in batches having identical field names.
having-fields
Usage: mlr having-fields [options]
Conditionally passes through records depending on each record's field names.
Options:
--at-least {comma-separated names}
--which-are {comma-separated names}
--at-most {comma-separated names}
--all-matching {regular expression}
--any-matching {regular expression}
--none-matching {regular expression}
Examples:
mlr having-fields --which-are amount,status,owner
mlr having-fields --any-matching 'sda[0-9]'
mlr having-fields --any-matching '"sda[0-9]"'
mlr having-fields --any-matching '"sda[0-9]"i' (this is case-insensitive)
head
Usage: mlr head [options]
-n {count} Head count to print; default 10
-g {a,b,c} Optional group-by-field names for head counts
Passes through the first n records, optionally by category.
Without -g, ceases consuming more input (i.e. is fast) when n
records have been read.
histogram
Usage: mlr histogram [options]
-f {a,b,c} Value-field names for histogram counts
--lo {lo} Histogram low value
--hi {hi} Histogram high value
--nbins {n} Number of histogram bins
--auto Automatically computes limits, ignoring --lo and --hi.
Holds all values in memory before producing any output.
-o {prefix} Prefix for output field name. Default: no prefix.
Just a histogram. Input values < lo or > hi are not counted.
join
Usage: mlr join [options]
Joins records from specified left file name with records from all file names
at the end of the Miller argument list.
Functionality is essentially the same as the system "join" command, but for
record streams.
Options:
-f {left file name}
-j {a,b,c} Comma-separated join-field names for output
-l {a,b,c} Comma-separated join-field names for left input file;
defaults to -j values if omitted.
-r {a,b,c} Comma-separated join-field names for right input file(s);
defaults to -j values if omitted.
--lp {text} Additional prefix for non-join output field names from
the left file
--rp {text} Additional prefix for non-join output field names from
the right file(s)
--np Do not emit paired records
--ul Emit unpaired records from the left file
--ur Emit unpaired records from the right file(s)
-s|--sorted-input Require sorted input: records must be sorted
lexically by their join-field names, else not all records will
be paired. The only likely use case for this is with a left
file which is too big to fit into system memory otherwise.
-u Enable unsorted input. (This is the default even without -u.)
In this case, the entire left file will be loaded into memory.
--prepipe {command} As in main input options; see mlr --help for details.
If you wish to use a prepipe command for the main input as well
as here, it must be specified there as well as here.
File-format options default to those for the right file names on the Miller
argument list, but may be overridden for the left file as follows. Please see
the main "mlr --help" for more information on syntax for these arguments.
-i {one of csv,dkvp,nidx,pprint,xtab}
--irs {record-separator character}
--ifs {field-separator character}
--ips {pair-separator character}
--repifs
--repips
--mmap
--no-mmap
Please use "mlr --usage-separator-options" for information on specifying separators.
Please see http://johnkerl.org/miller/doc/reference.html for more information
including examples.
label
Usage: mlr label {new1,new2,new3,...}
Given n comma-separated names, renames the first n fields of each record to
have the respective name. (Fields past the nth are left with their original
names.) Particularly useful with --inidx or --implicit-csv-header, to give
useful names to otherwise integer-indexed fields.
Examples:
"echo 'a b c d' | mlr --inidx --odkvp cat" gives "1=a,2=b,3=c,4=d"
"echo 'a b c d' | mlr --inidx --odkvp label s,t" gives "s=a,t=b,3=c,4=d"
least-frequent
Usage: mlr least-frequent [options]
Shows the least frequently occurring distinct values for specified field names.
The first entry is the statistical anti-mode; the remaining are runners-up.
Options:
-f {one or more comma-separated field names}. Required flag.
-n {count}. Optional flag defaulting to 10.
-b Suppress counts; show only field values.
-o {name} Field name for output count. Default "count".
See also "mlr most-frequent".
merge-fields
Usage: mlr merge-fields [options]
Computes univariate statistics for each input record, accumulated across
specified fields.
Options:
-a {sum,count,...} Names of accumulators. One or more of:
count Count instances of fields
mode Find most-frequently-occurring values for fields; first-found wins tie
antimode Find least-frequently-occurring values for fields; first-found wins tie
sum Compute sums of specified fields
mean Compute averages (sample means) of specified fields
stddev Compute sample standard deviation of specified fields
var Compute sample variance of specified fields
meaneb Estimate error bars for averages (assuming no sample autocorrelation)
skewness Compute sample skewness of specified fields
kurtosis Compute sample kurtosis of specified fields
min Compute minimum values of specified fields
max Compute maximum values of specified fields
-f {a,b,c} Value-field names on which to compute statistics. Requires -o.
-r {a,b,c} Regular expressions for value-field names on which to compute
statistics. Requires -o.
-c {a,b,c} Substrings for collapse mode. All fields which have the same names
after removing substrings will be accumulated together. Please see
examples below.
-i Use interpolated percentiles, like R's type=7; default like type=1.
Not sensical for string-valued fields.
-o {name} Output field basename for -f/-r.
-k Keep the input fields which contributed to the output statistics;
the default is to omit them.
-F Computes integerable things (e.g. count) in floating point.
String-valued data make sense unless arithmetic on them is required,
e.g. for sum, mean, interpolated percentiles, etc. In case of mixed data,
numbers are less than strings.
Example input data: "a_in_x=1,a_out_x=2,b_in_y=4,b_out_x=8".
Example: mlr merge-fields -a sum,count -f a_in_x,a_out_x -o foo
produces "b_in_y=4,b_out_x=8,foo_sum=3,foo_count=2" since "a_in_x,a_out_x" are
summed over.
Example: mlr merge-fields -a sum,count -r in_,out_ -o bar
produces "bar_sum=15,bar_count=4" since all four fields are summed over.
Example: mlr merge-fields -a sum,count -c in_,out_
produces "a_x_sum=3,a_x_count=2,b_y_sum=4,b_y_count=1,b_x_sum=8,b_x_count=1"
since "a_in_x" and "a_out_x" both collapse to "a_x", "b_in_y" collapses to
"b_y", and "b_out_x" collapses to "b_x".
most-frequent
Usage: mlr most-frequent [options]
Shows the most frequently occurring distinct values for specified field names.
The first entry is the statistical mode; the remaining are runners-up.
Options:
-f {one or more comma-separated field names}. Required flag.
-n {count}. Optional flag defaulting to 10.
-b Suppress counts; show only field values.
-o {name} Field name for output count. Default "count".
See also "mlr least-frequent".
nest
Usage: mlr nest [options]
Explodes specified field values into separate fields/records, or reverses this.
Options:
--explode,--implode One is required.
--values,--pairs One is required.
--across-records,--across-fields One is required.
-f {field name} Required.
--nested-fs {string} Defaults to ";". Field separator for nested values.
--nested-ps {string} Defaults to ":". Pair separator for nested key-value pairs.
--evar {string} Shorthand for --explode --values ---across-records --nested-fs {string}
--ivar {string} Shorthand for --implode --values ---across-records --nested-fs {string}
Please use "mlr --usage-separator-options" for information on specifying separators.
Examples:
mlr nest --explode --values --across-records -f x
with input record "x=a;b;c,y=d" produces output records
"x=a,y=d"
"x=b,y=d"
"x=c,y=d"
Use --implode to do the reverse.
mlr nest --explode --values --across-fields -f x
with input record "x=a;b;c,y=d" produces output records
"x_1=a,x_2=b,x_3=c,y=d"
Use --implode to do the reverse.
mlr nest --explode --pairs --across-records -f x
with input record "x=a:1;b:2;c:3,y=d" produces output records
"a=1,y=d"
"b=2,y=d"
"c=3,y=d"
mlr nest --explode --pairs --across-fields -f x
with input record "x=a:1;b:2;c:3,y=d" produces output records
"a=1,b=2,c=3,y=d"
Notes:
* With --pairs, --implode doesn't make sense since the original field name has
been lost.
* The combination "--implode --values --across-records" is non-streaming:
no output records are produced until all input records have been read. In
particular, this means it won't work in tail -f contexts. But all other flag
combinations result in streaming (tail -f friendly) data processing.
* It's up to you to ensure that the nested-fs is distinct from your data's IFS:
e.g. by default the former is semicolon and the latter is comma.
See also mlr reshape.
nothing
Usage: mlr nothing [options]
Drops all input records. Useful for testing, or after tee/print/etc. have
produced other output.
put
Usage: mlr put [options] {expression}
Adds/updates specified field(s). Expressions are semicolon-separated and must
either be assignments, or evaluate to boolean. Booleans with following
statements in curly braces control whether those statements are executed;
booleans without following curly braces do nothing except side effects (e.g.
regex-captures into \1, \2, etc.).
Conversion options:
-S: Keeps field values as strings with no type inference to int or float.
-F: Keeps field values as strings or floats with no inference to int.
All field values are type-inferred to int/float/string unless this behavior is
suppressed with -S or -F.
Output/formatting options:
--oflatsep {string}: Separator to use when flattening multi-level @-variables
to output records for emit. Default ":".
--jknquoteint: For dump output (JSON-formatted), do not quote map keys if non-string.
--jvquoteall: For dump output (JSON-formatted), quote map values even if non-string.
Any of the output-format command-line flags (see mlr -h). Example: using
mlr --icsv --opprint ... then put --ojson 'tee > "mytap-".$a.".dat", $*' then ...
the input is CSV, the output is pretty-print tabular, but the tee-file output
is written in JSON format.
--no-fflush: for emit, tee, print, and dump, don't call fflush() after every
record.
Expression-specification options:
-f {filename}: the DSL expression is taken from the specified file rather
than from the command line. Outer single quotes wrapping the expression
should not be placed in the file. If -f is specified more than once,
all input files specified using -f are concatenated to produce the expression.
(For example, you can define functions in one file and call them from another.)
-e {expression}: You can use this after -f to add an expression. Example use
case: define functions/subroutines in a file you specify with -f, then call
them with an expression you specify with -e.
(If you mix -e and -f then the expressions are evaluated in the order encountered.
Since the expression pieces are simply concatenated, please be sure to use intervening
semicolons to separate expressions.)
Tracing options:
-v: Prints the expressions's AST (abstract syntax tree), which gives
full transparency on the precedence and associativity rules of
Miller's grammar, to stdout.
-a: Prints a low-level stack-allocation trace to stdout.
-t: Prints a low-level parser trace to stderr.
-T: Prints a every statement to stderr as it is executed.
Other options:
-q: Does not include the modified record in the output stream. Useful for when
all desired output is in begin and/or end blocks.
Please use a dollar sign for field names and double-quotes for string
literals. If field names have special characters such as "." then you might
use braces, e.g. '${field.name}'. Miller built-in variables are
NF NR FNR FILENUM FILENAME M_PI M_E, and ENV["namegoeshere"] to access environment
variables. The environment-variable name may be an expression, e.g. a field
value.
Use # to comment to end of line.
Examples:
mlr put '$y = log10($x); $z = sqrt($y)'
mlr put '$x>0.0 { $y=log10($x); $z=sqrt($y) }' # does {...} only if $x > 0.0
mlr put '$x>0.0; $y=log10($x); $z=sqrt($y)' # does all three statements
mlr put '$a =~ "([a-z]+)_([0-9]+); $b = "left_\1"; $c = "right_\2"'
mlr put '$a =~ "([a-z]+)_([0-9]+) { $b = "left_\1"; $c = "right_\2" }'
mlr put '$filename = FILENAME'
mlr put '$colored_shape = $color . "_" . $shape'
mlr put '$y = cos($theta); $z = atan2($y, $x)'
mlr put '$name = sub($name, "http.*com"i, "")'
mlr put -q '@sum += $x; end {emit @sum}'
mlr put -q '@sum[$a] += $x; end {emit @sum, "a"}'
mlr put -q '@sum[$a][$b] += $x; end {emit @sum, "a", "b"}'
mlr put -q '@min=min(@min,$x);@max=max(@max,$x); end{emitf @min, @max}'
mlr put -q 'is_null(@xmax) || $x > @xmax {@xmax=$x; @recmax=$*}; end {emit @recmax}'
mlr put '
$x = 1;
#$y = 2;
$z = 3
'
Please see also 'mlr -k' for examples using redirected output.
Please see http://johnkerl.org/miller/doc/reference.html for more information
including function list. Or "mlr -f".
Please see in particular:
http://www.johnkerl.org/miller/doc/reference.html#put
regularize
Usage: mlr regularize
For records seen earlier in the data stream with same field names in
a different order, outputs them with field names in the previously
encountered order.
Example: input records a=1,c=2,b=3, then e=4,d=5, then c=7,a=6,b=8
output as a=1,c=2,b=3, then e=4,d=5, then a=6,c=7,b=8
remove-empty-columns
Usage: mlr remove-empty-columns
Omits fields which are empty on every input row. Non-streaming.
rename
Usage: mlr rename [options] {old1,new1,old2,new2,...}
Renames specified fields.
Options:
-r Treat old field names as regular expressions. "ab", "a.*b"
will match any field name containing the substring "ab" or
matching "a.*b", respectively; anchors of the form "^ab$",
"^a.*b$" may be used. New field names may be plain strings,
or may contain capture groups of the form "\1" through
"\9". Wrapping the regex in double quotes is optional, but
is required if you wish to follow it with 'i' to indicate
case-insensitivity.
-g Do global replacement within each field name rather than
first-match replacement.
Examples:
mlr rename old_name,new_name'
mlr rename old_name_1,new_name_1,old_name_2,new_name_2'
mlr rename -r 'Date_[0-9]+,Date,' Rename all such fields to be "Date"
mlr rename -r '"Date_[0-9]+",Date' Same
mlr rename -r 'Date_([0-9]+).*,\1' Rename all such fields to be of the form 20151015
mlr rename -r '"name"i,Name' Rename "name", "Name", "NAME", etc. to "Name"
reorder
Usage: mlr reorder [options]
-f {a,b,c} Field names to reorder.
-e Put specified field names at record end: default is to put
them at record start.
Examples:
mlr reorder -f a,b sends input record "d=4,b=2,a=1,c=3" to "a=1,b=2,d=4,c=3".
mlr reorder -e -f a,b sends input record "d=4,b=2,a=1,c=3" to "d=4,c=3,a=1,b=2".
repeat
Usage: mlr repeat [options]
Copies input records to output records multiple times.
Options must be exactly one of the following:
-n {repeat count} Repeat each input record this many times.
-f {field name} Same, but take the repeat count from the specified
field name of each input record.
Example:
echo x=0 | mlr repeat -n 4 then put '$x=urand()'
produces:
x=0.488189
x=0.484973
x=0.704983
x=0.147311
Example:
echo a=1,b=2,c=3 | mlr repeat -f b
produces:
a=1,b=2,c=3
a=1,b=2,c=3
Example:
echo a=1,b=2,c=3 | mlr repeat -f c
produces:
a=1,b=2,c=3
a=1,b=2,c=3
a=1,b=2,c=3
reshape
Usage: mlr reshape [options]
Wide-to-long options:
-i {input field names} -o {key-field name,value-field name}
-r {input field regexes} -o {key-field name,value-field name}
These pivot/reshape the input data such that the input fields are removed
and separate records are emitted for each key/value pair.
Note: this works with tail -f and produces output records for each input
record seen.
Long-to-wide options:
-s {key-field name,value-field name}
These pivot/reshape the input data to undo the wide-to-long operation.
Note: this does not work with tail -f; it produces output records only after
all input records have been read.
Examples:
Input file "wide.txt":
time X Y
2009-01-01 0.65473572 2.4520609
2009-01-02 -0.89248112 0.2154713
2009-01-03 0.98012375 1.3179287
mlr --pprint reshape -i X,Y -o item,value wide.txt
time item value
2009-01-01 X 0.65473572
2009-01-01 Y 2.4520609
2009-01-02 X -0.89248112
2009-01-02 Y 0.2154713
2009-01-03 X 0.98012375
2009-01-03 Y 1.3179287
mlr --pprint reshape -r '[A-Z]' -o item,value wide.txt
time item value
2009-01-01 X 0.65473572
2009-01-01 Y 2.4520609
2009-01-02 X -0.89248112
2009-01-02 Y 0.2154713
2009-01-03 X 0.98012375
2009-01-03 Y 1.3179287
Input file "long.txt":
time item value
2009-01-01 X 0.65473572
2009-01-01 Y 2.4520609
2009-01-02 X -0.89248112
2009-01-02 Y 0.2154713
2009-01-03 X 0.98012375
2009-01-03 Y 1.3179287
mlr --pprint reshape -s item,value long.txt
time X Y
2009-01-01 0.65473572 2.4520609
2009-01-02 -0.89248112 0.2154713
2009-01-03 0.98012375 1.3179287
See also mlr nest.
sample
Usage: mlr sample [options]
Reservoir sampling (subsampling without replacement), optionally by category.
-k {count} Required: number of records to output, total, or by group if using -g.
-g {a,b,c} Optional: group-by-field names for samples.
See also mlr bootstrap and mlr shuffle.
sec2gmt
Usage: mlr sec2gmt [options] {comma-separated list of field names}
Replaces a numeric field representing seconds since the epoch with the
corresponding GMT timestamp; leaves non-numbers as-is. This is nothing
more than a keystroke-saver for the sec2gmt function:
mlr sec2gmt time1,time2
is the same as
mlr put '$time1=sec2gmt($time1);$time2=sec2gmt($time2)'
Options:
-1 through -9: format the seconds using 1..9 decimal places, respectively.
sec2gmtdate
Usage: mlr sec2gmtdate {comma-separated list of field names}
Replaces a numeric field representing seconds since the epoch with the
corresponding GMT year-month-day timestamp; leaves non-numbers as-is.
This is nothing more than a keystroke-saver for the sec2gmtdate function:
mlr sec2gmtdate time1,time2
is the same as
mlr put '$time1=sec2gmtdate($time1);$time2=sec2gmtdate($time2)'
seqgen
Usage: mlr seqgen [options]
Produces a sequence of counters. Discards the input record stream. Produces
output as specified by the following options:
-f {name} Field name for counters; default "i".
--start {number} Inclusive start value; default "1".
--stop {number} Inclusive stop value; default "100".
--step {number} Step value; default "1".
Start, stop, and/or step may be floating-point. Output is integer if start,
stop, and step are all integers. Step may be negative. It may not be zero
unless start == stop.
shuffle
Usage: mlr shuffle {no options}
Outputs records randomly permuted. No output records are produced until
all input records are read.
See also mlr bootstrap and mlr sample.
skip-trivial-records
Usage: mlr skip-trivial-records [options]
Passes through all records except:
* those with zero fields;
* those for which all fields have empty value.
sort
Usage: mlr sort {flags}
Flags:
-f {comma-separated field names} Lexical ascending
-n {comma-separated field names} Numerical ascending; nulls sort last
-nf {comma-separated field names} Same as -n
-r {comma-separated field names} Lexical descending
-nr {comma-separated field names} Numerical descending; nulls sort first
Sorts records primarily by the first specified field, secondarily by the second
field, and so on. (Any records not having all specified sort keys will appear
at the end of the output, in the order they were encountered, regardless of the
specified sort order.) The sort is stable: records that compare equal will sort
in the order they were encountered in the input record stream.
Example:
mlr sort -f a,b -nr x,y,z
which is the same as:
mlr sort -f a -f b -nr x -nr y -nr z
stats1
Usage: mlr stats1 [options]
Computes univariate statistics for one or more given fields, accumulated across
the input record stream.
Options:
-a {sum,count,...} Names of accumulators: p10 p25.2 p50 p98 p100 etc. and/or
one or more of:
count Count instances of fields
mode Find most-frequently-occurring values for fields; first-found wins tie
antimode Find least-frequently-occurring values for fields; first-found wins tie
sum Compute sums of specified fields
mean Compute averages (sample means) of specified fields
stddev Compute sample standard deviation of specified fields
var Compute sample variance of specified fields
meaneb Estimate error bars for averages (assuming no sample autocorrelation)
skewness Compute sample skewness of specified fields
kurtosis Compute sample kurtosis of specified fields
min Compute minimum values of specified fields
max Compute maximum values of specified fields
-f {a,b,c} Value-field names on which to compute statistics
--fr {regex} Regex for value-field names on which to compute statistics
(compute statsitics on values in all field names matching regex)
--fx {regex} Inverted regex for value-field names on which to compute statistics
(compute statsitics on values in all field names not matching regex)
-g {d,e,f} Optional group-by-field names
--gr {regex} Regex for optional group-by-field names
(group by values in field names matching regex)
--gx {regex} Inverted regex for optional group-by-field names
(group by values in field names not matching regex)
--grfx {regex} Shorthand for --gr {regex} --fx {that same regex}
-i Use interpolated percentiles, like R's type=7; default like type=1.
Not sensical for string-valued fields.
-s Print iterative stats. Useful in tail -f contexts (in which
case please avoid pprint-format output since end of input
stream will never be seen).
-F Computes integerable things (e.g. count) in floating point.
Example: mlr stats1 -a min,p10,p50,p90,max -f value -g size,shape
Example: mlr stats1 -a count,mode -f size
Example: mlr stats1 -a count,mode -f size -g shape
Example: mlr stats1 -a count,mode --fr '^[a-h].*$' -gr '^k.*$'
This computes count and mode statistics on all field names beginning
with a through h, grouped by all field names starting with k.
Notes:
* p50 and median are synonymous.
* min and max output the same results as p0 and p100, respectively, but use
less memory.
* String-valued data make sense unless arithmetic on them is required,
e.g. for sum, mean, interpolated percentiles, etc. In case of mixed data,
numbers are less than strings.
* count and mode allow text input; the rest require numeric input.
In particular, 1 and 1.0 are distinct text for count and mode.
* When there are mode ties, the first-encountered datum wins.
stats2
Usage: mlr stats2 [options]
Computes bivariate statistics for one or more given field-name pairs,
accumulated across the input record stream.
-a {linreg-ols,corr,...} Names of accumulators: one or more of:
linreg-pca Linear regression using principal component analysis
linreg-ols Linear regression using ordinary least squares
r2 Quality metric for linreg-ols (linreg-pca emits its own)
logireg Logistic regression
corr Sample correlation
cov Sample covariance
covx Sample-covariance matrix
-f {a,b,c,d} Value-field name-pairs on which to compute statistics.
There must be an even number of names.
-g {e,f,g} Optional group-by-field names.
-v Print additional output for linreg-pca.
-s Print iterative stats. Useful in tail -f contexts (in which
case please avoid pprint-format output since end of input
stream will never be seen).
--fit Rather than printing regression parameters, applies them to
the input data to compute new fit fields. All input records are
held in memory until end of input stream. Has effect only for
linreg-ols, linreg-pca, and logireg.
Only one of -s or --fit may be used.
Example: mlr stats2 -a linreg-pca -f x,y
Example: mlr stats2 -a linreg-ols,r2 -f x,y -g size,shape
Example: mlr stats2 -a corr -f x,y
step
Usage: mlr step [options]
Computes values dependent on the previous record, optionally grouped
by category.
Options:
-a {delta,rsum,...} Names of steppers: comma-separated, one or more of:
delta Compute differences in field(s) between successive records
shift Include value(s) in field(s) from previous record, if any
from-first Compute differences in field(s) from first record
ratio Compute ratios in field(s) between successive records
rsum Compute running sums of field(s) between successive records
counter Count instances of field(s) between successive records
ewma Exponentially weighted moving average over successive records
-f {a,b,c} Value-field names on which to compute statistics
-g {d,e,f} Optional group-by-field names
-F Computes integerable things (e.g. counter) in floating point.
-d {x,y,z} Weights for ewma. 1 means current sample gets all weight (no
smoothing), near under under 1 is light smoothing, near over 0 is
heavy smoothing. Multiple weights may be specified, e.g.
"mlr step -a ewma -f sys_load -d 0.01,0.1,0.9". Default if omitted
is "-d 0.5".
-o {a,b,c} Custom suffixes for EWMA output fields. If omitted, these default to
the -d values. If supplied, the number of -o values must be the same
as the number of -d values.
Examples:
mlr step -a rsum -f request_size
mlr step -a delta -f request_size -g hostname
mlr step -a ewma -d 0.1,0.9 -f x,y
mlr step -a ewma -d 0.1,0.9 -o smooth,rough -f x,y
mlr step -a ewma -d 0.1,0.9 -o smooth,rough -f x,y -g group_name
Please see http://johnkerl.org/miller/doc/reference.html#filter or
https://en.wikipedia.org/wiki/Moving_average#Exponential_moving_average
for more information on EWMA.
tac
Usage: mlr tac
Prints records in reverse order from the order in which they were encountered.
tail
Usage: mlr tail [options]
-n {count} Tail count to print; default 10
-g {a,b,c} Optional group-by-field names for tail counts
Passes through the last n records, optionally by category.
tee
Usage: mlr tee [options] {filename}
Passes through input records (like mlr cat) but also writes to specified output
file, using output-format flags from the command line (e.g. --ocsv). See also
the "tee" keyword within mlr put, which allows data-dependent filenames.
Options:
-a: append to existing file, if any, rather than overwriting.
--no-fflush: don't call fflush() after every record.
Any of the output-format command-line flags (see mlr -h). Example: using
mlr --icsv --opprint put '...' then tee --ojson ./mytap.dat then stats1 ...
the input is CSV, the output is pretty-print tabular, but the tee-file output
is written in JSON format.
top
Usage: mlr top [options]
-f {a,b,c} Value-field names for top counts.
-g {d,e,f} Optional group-by-field names for top counts.
-n {count} How many records to print per category; default 1.
-a Print all fields for top-value records; default is
to print only value and group-by fields. Requires a single
value-field name only.
--min Print top smallest values; default is top largest values.
-F Keep top values as floats even if they look like integers.
-o {name} Field name for output indices. Default "top_idx".
Prints the n records with smallest/largest values at specified fields,
optionally by category.
uniq
Usage: mlr uniq [options]
Prints distinct values for specified field names. With -c, same as
count-distinct. For uniq, -f is a synonym for -g.
Options:
-g {d,e,f} Group-by-field names for uniq counts.
-c Show repeat counts in addition to unique values.
-n Show only the number of distinct values.
-o {name} Field name for output count. Default "count".
-a Output each unique record only once. Incompatible with -g.
With -c, produces unique records, with repeat counts for each.
With -n, produces only one record which is the unique-record count.
With neither -c nor -n, produces unique records.
unsparsify
Usage: mlr unsparsify [options]
Prints records with the union of field names over all input records.
For field names absent in a given record but present in others, fills in
a value. This verb retains all input before producing any output.
Options:
--fill-with {filler string} What to fill absent fields with. Defaults to
the empty string.
Example: if the input is two records, one being 'a=1,b=2' and the other
being 'b=3,c=4', then the output is the two records 'a=1,b=2,c=' and
’a=,b=3,c=4'.
FUNCTIONS FOR FILTER/PUT
+
(class=arithmetic #args=2): Addition.
+ (class=arithmetic #args=1): Unary plus.
-
(class=arithmetic #args=2): Subtraction.
- (class=arithmetic #args=1): Unary minus.
*
(class=arithmetic #args=2): Multiplication.
/
(class=arithmetic #args=2): Division.
//
(class=arithmetic #args=2): Integer division: rounds to negative (pythonic).
.+
(class=arithmetic #args=2): Addition, with integer-to-integer overflow
.+ (class=arithmetic #args=1): Unary plus, with integer-to-integer overflow.
.-
(class=arithmetic #args=2): Subtraction, with integer-to-integer overflow.
.- (class=arithmetic #args=1): Unary minus, with integer-to-integer overflow.
.*
(class=arithmetic #args=2): Multiplication, with integer-to-integer overflow.
./
(class=arithmetic #args=2): Division, with integer-to-integer overflow.
.//
(class=arithmetic #args=2): Integer division: rounds to negative (pythonic), with integer-to-integer overflow.
%
(class=arithmetic #args=2): Remainder; never negative-valued (pythonic).
**
(class=arithmetic #args=2): Exponentiation; same as pow, but as an infix
operator.
|
(class=arithmetic #args=2): Bitwise OR.
^
(class=arithmetic #args=2): Bitwise XOR.
&
(class=arithmetic #args=2): Bitwise AND.
~
(class=arithmetic #args=1): Bitwise NOT. Beware '$y=~$x' since =~ is the
regex-match operator: try '$y = ~$x'.
<<
(class=arithmetic #args=2): Bitwise left-shift.
>>
(class=arithmetic #args=2): Bitwise right-shift.
bitcount
(class=arithmetic #args=1): Count of 1-bits
==
(class=boolean #args=2): String/numeric equality. Mixing number and string
results in string compare.
!=
(class=boolean #args=2): String/numeric inequality. Mixing number and string
results in string compare.
=~
(class=boolean #args=2): String (left-hand side) matches regex (right-hand
side), e.g. '$name =~ "^a.*b$"'.
!=~
(class=boolean #args=2): String (left-hand side) does not match regex
(right-hand side), e.g. '$name !=~ "^a.*b$"'.
>
(class=boolean #args=2): String/numeric greater-than. Mixing number and string
results in string compare.
>=
(class=boolean #args=2): String/numeric greater-than-or-equals. Mixing number
and string results in string compare.
<
(class=boolean #args=2): String/numeric less-than. Mixing number and string
results in string compare.
<=
(class=boolean #args=2): String/numeric less-than-or-equals. Mixing number
and string results in string compare.
&&
(class=boolean #args=2): Logical AND.
||
(class=boolean #args=2): Logical OR.
^^
(class=boolean #args=2): Logical XOR.
!
(class=boolean #args=1): Logical negation.
? :
(class=boolean #args=3): Ternary operator.
.
(class=string #args=2): String concatenation.
gsub
(class=string #args=3): Example: '$name=gsub($name, "old", "new")'
(replace all).
regextract
(class=string #args=2): Example: '$name=regextract($name, "[A-Z]{3}[0-9]{2}")'
.
regextract_or_else
(class=string #args=3): Example: '$name=regextract_or_else($name, "[A-Z]{3}[0-9]{2}", "default")'
.
strlen
(class=string #args=1): String length.
sub
(class=string #args=3): Example: '$name=sub($name, "old", "new")'
(replace once).
ssub
(class=string #args=3): Like sub but does no regexing. No characters are special.
substr
(class=string #args=3): substr(s,m,n) gives substring of s from 0-up position m to n
inclusive. Negative indices -len .. -1 alias to 0 .. len-1.
tolower
(class=string #args=1): Convert string to lowercase.
toupper
(class=string #args=1): Convert string to uppercase.
capitalize
(class=string #args=1): Convert string's first character to uppercase.
lstrip
(class=string #args=1): Strip leading whitespace from string.
rstrip
(class=string #args=1): Strip trailing whitespace from string.
strip
(class=string #args=1): Strip leading and trailing whitespace from string.
collapse_whitespace
(class=string #args=1): Strip repeated whitespace from string.
clean_whitespace
(class=string #args=1): Same as collapse_whitespace and strip.
system
(class=string #args=1): Run command string, yielding its stdout minus final carriage return.
abs
(class=math #args=1): Absolute value.
acos
(class=math #args=1): Inverse trigonometric cosine.
acosh
(class=math #args=1): Inverse hyperbolic cosine.
asin
(class=math #args=1): Inverse trigonometric sine.
asinh
(class=math #args=1): Inverse hyperbolic sine.
atan
(class=math #args=1): One-argument arctangent.
atan2
(class=math #args=2): Two-argument arctangent.
atanh
(class=math #args=1): Inverse hyperbolic tangent.
cbrt
(class=math #args=1): Cube root.
ceil
(class=math #args=1): Ceiling: nearest integer at or above.
cos
(class=math #args=1): Trigonometric cosine.
cosh
(class=math #args=1): Hyperbolic cosine.
erf
(class=math #args=1): Error function.
erfc
(class=math #args=1): Complementary error function.
exp
(class=math #args=1): Exponential function e**x.
expm1
(class=math #args=1): e**x - 1.
floor
(class=math #args=1): Floor: nearest integer at or below.
invqnorm
(class=math #args=1): Inverse of normal cumulative distribution
function. Note that invqorm(urand()) is normally distributed.
log
(class=math #args=1): Natural (base-e) logarithm.
log10
(class=math #args=1): Base-10 logarithm.
log1p
(class=math #args=1): log(1-x).
logifit
(class=math #args=3): Given m and b from logistic regression, compute
fit: $yhat=logifit($x,$m,$b).
madd
(class=math #args=3): a + b mod m (integers)
max
(class=math variadic): max of n numbers; null loses
mexp
(class=math #args=3): a ** b mod m (integers)
min
(class=math variadic): Min of n numbers; null loses
mmul
(class=math #args=3): a * b mod m (integers)
msub
(class=math #args=3): a - b mod m (integers)
pow
(class=math #args=2): Exponentiation; same as **.
qnorm
(class=math #args=1): Normal cumulative distribution function.
round
(class=math #args=1): Round to nearest integer.
roundm
(class=math #args=2): Round to nearest multiple of m: roundm($x,$m) is
the same as round($x/$m)*$m
sgn
(class=math #args=1): +1 for positive input, 0 for zero input, -1 for
negative input.
sin
(class=math #args=1): Trigonometric sine.
sinh
(class=math #args=1): Hyperbolic sine.
sqrt
(class=math #args=1): Square root.
tan
(class=math #args=1): Trigonometric tangent.
tanh
(class=math #args=1): Hyperbolic tangent.
urand
(class=math #args=0): Floating-point numbers uniformly distributed on the unit interval.
Int-valued example: '$n=floor(20+urand()*11)'.
urandrange
(class=math #args=2): Floating-point numbers uniformly distributed on the interval [a, b).
urand32
(class=math #args=0): Integer uniformly distributed 0 and 2**32-1
inclusive.
urandint
(class=math #args=2): Integer uniformly distributed between inclusive
integer endpoints.
dhms2fsec
(class=time #args=1): Recovers floating-point seconds as in
dhms2fsec("5d18h53m20.250000s") = 500000.250000
dhms2sec
(class=time #args=1): Recovers integer seconds as in
dhms2sec("5d18h53m20s") = 500000
fsec2dhms
(class=time #args=1): Formats floating-point seconds as in
fsec2dhms(500000.25) = "5d18h53m20.250000s"
fsec2hms
(class=time #args=1): Formats floating-point seconds as in
fsec2hms(5000.25) = "01:23:20.250000"
gmt2sec
(class=time #args=1): Parses GMT timestamp as integer seconds since
the epoch.
localtime2sec
(class=time #args=1): Parses local timestamp as integer seconds since
the epoch. Consults $TZ environment variable.
hms2fsec
(class=time #args=1): Recovers floating-point seconds as in
hms2fsec("01:23:20.250000") = 5000.250000
hms2sec
(class=time #args=1): Recovers integer seconds as in
hms2sec("01:23:20") = 5000
sec2dhms
(class=time #args=1): Formats integer seconds as in sec2dhms(500000)
= "5d18h53m20s"
sec2gmt
(class=time #args=1): Formats seconds since epoch (integer part)
as GMT timestamp, e.g. sec2gmt(1440768801.7) = "2015-08-28T13:33:21Z".
Leaves non-numbers as-is.
sec2gmt (class=time #args=2): Formats seconds since epoch as GMT timestamp with n
decimal places for seconds, e.g. sec2gmt(1440768801.7,1) = "2015-08-28T13:33:21.7Z".
Leaves non-numbers as-is.
sec2gmtdate
(class=time #args=1): Formats seconds since epoch (integer part)
as GMT timestamp with year-month-date, e.g. sec2gmtdate(1440768801.7) = "2015-08-28".
Leaves non-numbers as-is.
sec2localtime
(class=time #args=1): Formats seconds since epoch (integer part)
as local timestamp, e.g. sec2localtime(1440768801.7) = "2015-08-28T13:33:21Z".
Consults $TZ environment variable. Leaves non-numbers as-is.
sec2localtime (class=time #args=2): Formats seconds since epoch as local timestamp with n
decimal places for seconds, e.g. sec2localtime(1440768801.7,1) = "2015-08-28T13:33:21.7Z".
Consults $TZ environment variable. Leaves non-numbers as-is.
sec2localdate
(class=time #args=1): Formats seconds since epoch (integer part)
as local timestamp with year-month-date, e.g. sec2localdate(1440768801.7) = "2015-08-28".
Consults $TZ environment variable. Leaves non-numbers as-is.
sec2hms
(class=time #args=1): Formats integer seconds as in
sec2hms(5000) = "01:23:20"
strftime
(class=time #args=2): Formats seconds since the epoch as timestamp, e.g.
strftime(1440768801.7,"%Y-%m-%dT%H:%M:%SZ") = "2015-08-28T13:33:21Z", and
strftime(1440768801.7,"%Y-%m-%dT%H:%M:%3SZ") = "2015-08-28T13:33:21.700Z".
Format strings are as in the C library (please see "man strftime" on your system),
with the Miller-specific addition of "%1S" through "%9S" which format the seconds
with 1 through 9 decimal places, respectively. ("%S" uses no decimal places.)
See also strftime_local.
strftime_local
(class=time #args=2): Like strftime but consults the $TZ environment variable to get local time zone.
strptime
(class=time #args=2): Parses timestamp as floating-point seconds since the epoch,
e.g. strptime("2015-08-28T13:33:21Z","%Y-%m-%dT%H:%M:%SZ") = 1440768801.000000,
and strptime("2015-08-28T13:33:21.345Z","%Y-%m-%dT%H:%M:%SZ") = 1440768801.345000.
See also strptime_local.
strptime_local
(class=time #args=2): Like strptime, but consults $TZ environment variable to find and use local timezone.
systime
(class=time #args=0): Floating-point seconds since the epoch,
e.g. 1440768801.748936.
is_absent
(class=typing #args=1): False if field is present in input, false otherwise
is_bool
(class=typing #args=1): True if field is present with boolean value. Synonymous with is_boolean.
is_boolean
(class=typing #args=1): True if field is present with boolean value. Synonymous with is_bool.
is_empty
(class=typing #args=1): True if field is present in input with empty string value, false otherwise.
is_empty_map
(class=typing #args=1): True if argument is a map which is empty.
is_float
(class=typing #args=1): True if field is present with value inferred to be float
is_int
(class=typing #args=1): True if field is present with value inferred to be int
is_map
(class=typing #args=1): True if argument is a map.
is_nonempty_map
(class=typing #args=1): True if argument is a map which is non-empty.
is_not_empty
(class=typing #args=1): False if field is present in input with empty value, true otherwise
is_not_map
(class=typing #args=1): True if argument is not a map.
is_not_null
(class=typing #args=1): False if argument is null (empty or absent), true otherwise.
is_null
(class=typing #args=1): True if argument is null (empty or absent), false otherwise.
is_numeric
(class=typing #args=1): True if field is present with value inferred to be int or float
is_present
(class=typing #args=1): True if field is present in input, false otherwise.
is_string
(class=typing #args=1): True if field is present with string (including empty-string) value
asserting_absent
(class=typing #args=1): Returns argument if it is absent in the input data, else
throws an error.
asserting_bool
(class=typing #args=1): Returns argument if it is present with boolean value, else
throws an error.
asserting_boolean
(class=typing #args=1): Returns argument if it is present with boolean value, else
throws an error.
asserting_empty
(class=typing #args=1): Returns argument if it is present in input with empty value,
else throws an error.
asserting_empty_map
(class=typing #args=1): Returns argument if it is a map with empty value, else
throws an error.
asserting_float
(class=typing #args=1): Returns argument if it is present with float value, else
throws an error.
asserting_int
(class=typing #args=1): Returns argument if it is present with int value, else
throws an error.
asserting_map
(class=typing #args=1): Returns argument if it is a map, else throws an error.
asserting_nonempty_map
(class=typing #args=1): Returns argument if it is a non-empty map, else throws
an error.
asserting_not_empty
(class=typing #args=1): Returns argument if it is present in input with non-empty
value, else throws an error.
asserting_not_map
(class=typing #args=1): Returns argument if it is not a map, else throws an error.
asserting_not_null
(class=typing #args=1): Returns argument if it is non-null (non-empty and non-absent),
else throws an error.
asserting_null
(class=typing #args=1): Returns argument if it is null (empty or absent), else throws
an error.
asserting_numeric
(class=typing #args=1): Returns argument if it is present with int or float value,
else throws an error.
asserting_present
(class=typing #args=1): Returns argument if it is present in input, else throws
an error.
asserting_string
(class=typing #args=1): Returns argument if it is present with string (including
empty-string) value, else throws an error.
boolean
(class=conversion #args=1): Convert int/float/bool/string to boolean.
float
(class=conversion #args=1): Convert int/float/bool/string to float.
fmtnum
(class=conversion #args=2): Convert int/float/bool to string using
printf-style format string, e.g. '$s = fmtnum($n, "%06lld")'. WARNING: Miller numbers
are all long long or double. If you use formats like %d or %f, behavior is undefined.
hexfmt
(class=conversion #args=1): Convert int to string, e.g. 255 to "0xff".
int
(class=conversion #args=1): Convert int/float/bool/string to int.
string
(class=conversion #args=1): Convert int/float/bool/string to string.
typeof
(class=conversion #args=1): Convert argument to type of argument (e.g.
MT_STRING). For debug.
depth
(class=maps #args=1): Prints maximum depth of hashmap: ''. Scalars have depth 0.
haskey
(class=maps #args=2): True/false if map has/hasn't key, e.g. 'haskey($*, "a")' or
’haskey(mymap, mykey)'. Error if 1st argument is not a map.
joink
(class=maps #args=2): Makes string from map keys. E.g. 'joink($*, ",")'.
joinkv
(class=maps #args=3): Makes string from map key-value pairs. E.g. 'joinkv(@v[2], "=", ",")'
joinv
(class=maps #args=2): Makes string from map keys. E.g. 'joinv(mymap, ",")'.
leafcount
(class=maps #args=1): Counts total number of terminal values in hashmap. For single-level maps,
same as length.
length
(class=maps #args=1): Counts number of top-level entries in hashmap. Scalars have length 1.
mapdiff
(class=maps variadic): With 0 args, returns empty map. With 1 arg, returns copy of arg.
With 2 or more, returns copy of arg 1 with all keys from any of remaining argument maps removed.
mapexcept
(class=maps variadic): Returns a map with keys from remaining arguments, if any, unset.
E.g. 'mapexcept({1:2,3:4,5:6}, 1, 5, 7)' is '{3:4}'.
mapselect
(class=maps variadic): Returns a map with only keys from remaining arguments set.
E.g. 'mapselect({1:2,3:4,5:6}, 1, 5, 7)' is '{1:2,5:6}'.
mapsum
(class=maps variadic): With 0 args, returns empty map. With >= 1 arg, returns a map with
key-value pairs from all arguments. Rightmost collisions win, e.g. 'mapsum({1:2,3:4},{1:5})' is '{1:5,3:4}'.
splitkv
(class=maps #args=3): Splits string by separators into map with type inference.
E.g. 'splitkv("a=1,b=2,c=3", "=", ",")' gives '{"a" : 1, "b" : 2, "c" : 3}'.
splitkvx
(class=maps #args=3): Splits string by separators into map without type inference (keys and
values are strings). E.g. 'splitkv("a=1,b=2,c=3", "=", ",")' gives
’{"a" : "1", "b" : "2", "c" : "3"}'.
splitnv
(class=maps #args=2): Splits string by separator into integer-indexed map with type inference.
E.g. 'splitnv("a,b,c" , ",")' gives '{1 : "a", 2 : "b", 3 : "c"}'.
splitnvx
(class=maps #args=2): Splits string by separator into integer-indexed map without type
inference (values are strings). E.g. 'splitnv("4,5,6" , ",")' gives '{1 : "4", 2 : "5", 3 : "6"}'.
KEYWORDS FOR PUT AND FILTER
all
all: used in "emit", "emitp", and "unset" as a synonym for @*
begin
begin: defines a block of statements to be executed before input records
are ingested. The body statements must be wrapped in curly braces.
Example: 'begin { @count = 0 }'
bool
bool: declares a boolean local variable in the current curly-braced scope.
Type-checking happens at assignment: 'bool b = 1' is an error.
break
break: causes execution to continue after the body of the current
for/while/do-while loop.
call
call: used for invoking a user-defined subroutine.
Example: 'subr s(k,v) { print k . " is " . v} call s("a", $a)'
continue
continue: causes execution to skip the remaining statements in the body of
the current for/while/do-while loop. For-loop increments are still applied.
do
do: with "while", introduces a do-while loop. The body statements must be wrapped
in curly braces.
dump
dump: prints all currently defined out-of-stream variables immediately
to stdout as JSON.
With >, >>, or |, the data do not become part of the output record stream but
are instead redirected.
The > and >> are for write and append, as in the shell, but (as with awk) the
file-overwrite for > is on first write, not per record. The | is for piping to
a process which will process the data. There will be one open file for each
distinct file name (for > and >>) or one subordinate process for each distinct
value of the piped-to command (for |). Output-formatting flags are taken from
the main command line.
Example: mlr --from f.dat put -q '@v[NR]=$*; end { dump }'
Example: mlr --from f.dat put -q '@v[NR]=$*; end { dump > "mytap.dat"}'
Example: mlr --from f.dat put -q '@v[NR]=$*; end { dump >> "mytap.dat"}'
Example: mlr --from f.dat put -q '@v[NR]=$*; end { dump | "jq .[]"}'
edump
edump: prints all currently defined out-of-stream variables immediately
to stderr as JSON.
Example: mlr --from f.dat put -q '@v[NR]=$*; end { edump }'
elif
elif: the way Miller spells "else if". The body statements must be wrapped
in curly braces.
else
else: terminates an if/elif/elif chain. The body statements must be wrapped
in curly braces.
emit
emit: inserts an out-of-stream variable into the output record stream. Hashmap
indices present in the data but not slotted by emit arguments are not output.
With >, >>, or |, the data do not become part of the output record stream but
are instead redirected.
The > and >> are for write and append, as in the shell, but (as with awk) the
file-overwrite for > is on first write, not per record. The | is for piping to
a process which will process the data. There will be one open file for each
distinct file name (for > and >>) or one subordinate process for each distinct
value of the piped-to command (for |). Output-formatting flags are taken from
the main command line.
You can use any of the output-format command-line flags, e.g. --ocsv, --ofs,
etc., to control the format of the output if the output is redirected. See also mlr -h.
Example: mlr --from f.dat put 'emit > "/tmp/data-".$a, $*'
Example: mlr --from f.dat put 'emit > "/tmp/data-".$a, mapexcept($*, "a")'
Example: mlr --from f.dat put '@sums[$a][$b]+=$x; emit @sums'
Example: mlr --from f.dat put --ojson '@sums[$a][$b]+=$x; emit > "tap-".$a.$b.".dat", @sums'
Example: mlr --from f.dat put '@sums[$a][$b]+=$x; emit @sums, "index1", "index2"'
Example: mlr --from f.dat put '@sums[$a][$b]+=$x; emit @*, "index1", "index2"'
Example: mlr --from f.dat put '@sums[$a][$b]+=$x; emit > "mytap.dat", @*, "index1", "index2"'
Example: mlr --from f.dat put '@sums[$a][$b]+=$x; emit >> "mytap.dat", @*, "index1", "index2"'
Example: mlr --from f.dat put '@sums[$a][$b]+=$x; emit | "gzip > mytap.dat.gz", @*, "index1", "index2"'
Example: mlr --from f.dat put '@sums[$a][$b]+=$x; emit > stderr, @*, "index1", "index2"'
Example: mlr --from f.dat put '@sums[$a][$b]+=$x; emit | "grep somepattern", @*, "index1", "index2"'
Please see http://johnkerl.org/miller/doc for more information.
emitf
emitf: inserts non-indexed out-of-stream variable(s) side-by-side into the
output record stream.
With >, >>, or |, the data do not become part of the output record stream but
are instead redirected.
The > and >> are for write and append, as in the shell, but (as with awk) the
file-overwrite for > is on first write, not per record. The | is for piping to
a process which will process the data. There will be one open file for each
distinct file name (for > and >>) or one subordinate process for each distinct
value of the piped-to command (for |). Output-formatting flags are taken from
the main command line.
You can use any of the output-format command-line flags, e.g. --ocsv, --ofs,
etc., to control the format of the output if the output is redirected. See also mlr -h.
Example: mlr --from f.dat put '@a=$i;@b+=$x;@c+=$y; emitf @a'
Example: mlr --from f.dat put --oxtab '@a=$i;@b+=$x;@c+=$y; emitf > "tap-".$i.".dat", @a'
Example: mlr --from f.dat put '@a=$i;@b+=$x;@c+=$y; emitf @a, @b, @c'
Example: mlr --from f.dat put '@a=$i;@b+=$x;@c+=$y; emitf > "mytap.dat", @a, @b, @c'
Example: mlr --from f.dat put '@a=$i;@b+=$x;@c+=$y; emitf >> "mytap.dat", @a, @b, @c'
Example: mlr --from f.dat put '@a=$i;@b+=$x;@c+=$y; emitf > stderr, @a, @b, @c'
Example: mlr --from f.dat put '@a=$i;@b+=$x;@c+=$y; emitf | "grep somepattern", @a, @b, @c'
Example: mlr --from f.dat put '@a=$i;@b+=$x;@c+=$y; emitf | "grep somepattern > mytap.dat", @a, @b, @c'
Please see http://johnkerl.org/miller/doc for more information.
emitp
emitp: inserts an out-of-stream variable into the output record stream.
Hashmap indices present in the data but not slotted by emitp arguments are
output concatenated with ":".
With >, >>, or |, the data do not become part of the output record stream but
are instead redirected.
The > and >> are for write and append, as in the shell, but (as with awk) the
file-overwrite for > is on first write, not per record. The | is for piping to
a process which will process the data. There will be one open file for each
distinct file name (for > and >>) or one subordinate process for each distinct
value of the piped-to command (for |). Output-formatting flags are taken from
the main command line.
You can use any of the output-format command-line flags, e.g. --ocsv, --ofs,
etc., to control the format of the output if the output is redirected. See also mlr -h.
Example: mlr --from f.dat put '@sums[$a][$b]+=$x; emitp @sums'
Example: mlr --from f.dat put --opprint '@sums[$a][$b]+=$x; emitp > "tap-".$a.$b.".dat", @sums'
Example: mlr --from f.dat put '@sums[$a][$b]+=$x; emitp @sums, "index1", "index2"'
Example: mlr --from f.dat put '@sums[$a][$b]+=$x; emitp @*, "index1", "index2"'
Example: mlr --from f.dat put '@sums[$a][$b]+=$x; emitp > "mytap.dat", @*, "index1", "index2"'
Example: mlr --from f.dat put '@sums[$a][$b]+=$x; emitp >> "mytap.dat", @*, "index1", "index2"'
Example: mlr --from f.dat put '@sums[$a][$b]+=$x; emitp | "gzip > mytap.dat.gz", @*, "index1", "index2"'
Example: mlr --from f.dat put '@sums[$a][$b]+=$x; emitp > stderr, @*, "index1", "index2"'
Example: mlr --from f.dat put '@sums[$a][$b]+=$x; emitp | "grep somepattern", @*, "index1", "index2"'
Please see http://johnkerl.org/miller/doc for more information.
end
end: defines a block of statements to be executed after input records
are ingested. The body statements must be wrapped in curly braces.
Example: 'end { emit @count }'
Example: 'end { eprint "Final count is " . @count }'
eprint
eprint: prints expression immediately to stderr.
Example: mlr --from f.dat put -q 'eprint "The sum of x and y is ".($x+$y)'
Example: mlr --from f.dat put -q 'for (k, v in $*) { eprint k . " => " . v }'
Example: mlr --from f.dat put '(NR % 1000 == 0) { eprint "Checkpoint ".NR}'
eprintn
eprintn: prints expression immediately to stderr, without trailing newline.
Example: mlr --from f.dat put -q 'eprintn "The sum of x and y is ".($x+$y); eprint ""'
false
false: the boolean literal value.
filter
filter: includes/excludes the record in the output record stream.
Example: mlr --from f.dat put 'filter (NR == 2 || $x > 5.4)'
Instead of put with 'filter false' you can simply use put -q. The following
uses the input record to accumulate data but only prints the running sum
without printing the input record:
Example: mlr --from f.dat put -q '@running_sum += $x * $y; emit @running_sum'
float
float: declares a floating-point local variable in the current curly-braced scope.
Type-checking happens at assignment: 'float x = 0' is an error.
for
for: defines a for-loop using one of three styles. The body statements must
be wrapped in curly braces.
For-loop over stream record:
Example: 'for (k, v in $*) { ... }'
For-loop over out-of-stream variables:
Example: 'for (k, v in @counts) { ... }'
Example: 'for ((k1, k2), v in @counts) { ... }'
Example: 'for ((k1, k2, k3), v in @*) { ... }'
C-style for-loop:
Example: 'for (var i = 0, var b = 1; i < 10; i += 1, b *= 2) { ... }'
func
func: used for defining a user-defined function.
Example: 'func f(a,b) { return sqrt(a**2+b**2)} $d = f($x, $y)'
if
if: starts an if/elif/elif chain. The body statements must be wrapped
in curly braces.
in
in: used in for-loops over stream records or out-of-stream variables.
int
int: declares an integer local variable in the current curly-braced scope.
Type-checking happens at assignment: 'int x = 0.0' is an error.
map
map: declares an map-valued local variable in the current curly-braced scope.
Type-checking happens at assignment: 'map b = 0' is an error. map b = {} is
always OK. map b = a is OK or not depending on whether a is a map.
num
num: declares an int/float local variable in the current curly-braced scope.
Type-checking happens at assignment: 'num b = true' is an error.
print
print: prints expression immediately to stdout.
Example: mlr --from f.dat put -q 'print "The sum of x and y is ".($x+$y)'
Example: mlr --from f.dat put -q 'for (k, v in $*) { print k . " => " . v }'
Example: mlr --from f.dat put '(NR % 1000 == 0) { print > stderr, "Checkpoint ".NR}'
printn
printn: prints expression immediately to stdout, without trailing newline.
Example: mlr --from f.dat put -q 'printn "."; end { print "" }'
return
return: specifies the return value from a user-defined function.
Omitted return statements (including via if-branches) result in an absent-null
return value, which in turns results in a skipped assignment to an LHS.
stderr
stderr: Used for tee, emit, emitf, emitp, print, and dump in place of filename
to print to standard error.
stdout
stdout: Used for tee, emit, emitf, emitp, print, and dump in place of filename
to print to standard output.
str
str: declares a string local variable in the current curly-braced scope.
Type-checking happens at assignment.
subr
subr: used for defining a subroutine.
Example: 'subr s(k,v) { print k . " is " . v} call s("a", $a)'
tee
tee: prints the current record to specified file.
This is an immediate print to the specified file (except for pprint format
which of course waits until the end of the input stream to format all output).
The > and >> are for write and append, as in the shell, but (as with awk) the
file-overwrite for > is on first write, not per record. The | is for piping to
a process which will process the data. There will be one open file for each
distinct file name (for > and >>) or one subordinate process for each distinct
value of the piped-to command (for |). Output-formatting flags are taken from
the main command line.
You can use any of the output-format command-line flags, e.g. --ocsv, --ofs,
etc., to control the format of the output. See also mlr -h.
emit with redirect and tee with redirect are identical, except tee can only
output $*.
Example: mlr --from f.dat put 'tee > "/tmp/data-".$a, $*'
Example: mlr --from f.dat put 'tee >> "/tmp/data-".$a.$b, $*'
Example: mlr --from f.dat put 'tee > stderr, $*'
Example: mlr --from f.dat put -q 'tee | "tr [a-z\] [A-Z\]", $*'
Example: mlr --from f.dat put -q 'tee | "tr [a-z\] [A-Z\] > /tmp/data-".$a, $*'
Example: mlr --from f.dat put -q 'tee | "gzip > /tmp/data-".$a.".gz", $*'
Example: mlr --from f.dat put -q --ojson 'tee | "gzip > /tmp/data-".$a.".gz", $*'
true
true: the boolean literal value.
unset
unset: clears field(s) from the current record, or an out-of-stream or local variable.
Example: mlr --from f.dat put 'unset $x'
Example: mlr --from f.dat put 'unset $*'
Example: mlr --from f.dat put 'for (k, v in $*) { if (k =~ "a.*") { unset $[k] } }'
Example: mlr --from f.dat put '...; unset @sums'
Example: mlr --from f.dat put '...; unset @sums["green"]'
Example: mlr --from f.dat put '...; unset @*'
var
var: declares an untyped local variable in the current curly-braced scope.
Examples: 'var a=1', 'var xyz=""'
while
while: introduces a while loop, or with "do", introduces a do-while loop.
The body statements must be wrapped in curly braces.
ENV
ENV: access to environment variables by name, e.g. '$home = ENV["HOME"]'
FILENAME
FILENAME: evaluates to the name of the current file being processed.
FILENUM
FILENUM: evaluates to the number of the current file being processed,
starting with 1.
FNR
FNR: evaluates to the number of the current record within the current file
being processed, starting with 1. Resets at the start of each file.
IFS
IFS: evaluates to the input field separator from the command line.
IPS
IPS: evaluates to the input pair separator from the command line.
IRS
IRS: evaluates to the input record separator from the command line,
or to LF or CRLF from the input data if in autodetect mode (which is
the default).
M_E
M_E: the mathematical constant e.
M_PI
M_PI: the mathematical constant pi.
NF
NF: evaluates to the number of fields in the current record.
NR
NR: evaluates to the number of the current record over all files
being processed, starting with 1. Does not reset at the start of each file.
OFS
OFS: evaluates to the output field separator from the command line.
OPS
OPS: evaluates to the output pair separator from the command line.
ORS
ORS: evaluates to the output record separator from the command line,
or to LF or CRLF from the input data if in autodetect mode (which is
the default).
AUTHOR
Miller is written by John Kerl <kerl.john.r@gmail.com>.
This manual page has been composed from Miller's help output by Eric MSP Veith
<eveith@veith-m.de>.
SEE ALSO
awk(1), sed(1), cut(1), join(1), sort(1), RFC 4180: Common Format and MIME Type for Comma-
Separated Values (CSV) Files, the miller website http://johnkerl.org/miller/doc
2019-09-22 MILLER(1)