Check for duplicate values for a specific JSON key - json

I have the following JSON records stored in a container
{"memberId":"123","city":"New York"}
{"memberId":"234","city":"Chicago"}
{"memberId":"345","city":"San Francisco"}
{"memberId":"123","city":"New York"}
{"memberId":"345","city":"San Francisco"}
I am looking to check if there is any duplication of the memberId - ideally return a true/false and then also return the duplicated values.
Desired Output:
true
123
345

Here's an efficient approach using inputs. It requires invoking jq with the -n command-line option. The idea is to create a dictionary that keeps count of each memberId string value.
The dictionary can be created as follows:
reduce (inputs|.memberId|tostring) as $id ({}; .[$id] += 1)
Thus, to produce a true/false indicator, followed by the duplicates if any, you could write:
reduce (inputs|.memberId|tostring) as $id ({}; .[$id] += 1)
| to_entries
| map(select(.value > 1))
| (length > 0), .[].key
(If all the .memberId values are known to be strings, then of course the call to tostring can be dropped. Conversely, if .memberId is both string and integer-valued, then the above program won't differentiate between occurrences of 1 and "1", for example.)
bow
The aforementioned dictionary is sometimes called a "bag of words" (https://en.wikipedia.org/wiki/Bag-of-words_model). This leads to the generic function:
def bow(stream):
reduce stream as $word ({}; .[($word|tostring)] += 1);
The solution can now be written more concisely:
bow(inputs.memberId)
| to_entries
| map(select(.value > 1))
| (length > 0), .[].key
For just the values which have duplicates, one could write the more efficient query:
bow(inputs.memberId)
| keys_unsorted[] as $k
| select(.[$k] > 1)
| $k

Related

Difference between `null` and `no output`

I've encountered some difference between null and nothing, can somebody explain it? As in most languages null is considered/used to represent nothing.
The select is documented to return no output. And adding(ie. +) null to X yields X. Now consider these demonstrative examples(takes no input):
adding nothing
here we have empty object, which we update with nothing:
{} | . |= . + ({} | select (.foo == 123))
which results in
null
adding null
same template but with alternative operator to substitute nothing to null:
{} | . |= . + ({} | select (.foo == 123)//null)
which results in
{}
Can someone explain the difference nothing vs null?
null is just a regular JSON value; and conceptually, it is totally different from the absence of a value, i.e, what you termed nothing. Take a look at these for example (empty is a filter that returns nothing):
$ jq -n '[null] | length'
1
$ jq -n '[empty] | length'
0
That {} + null returns {} back, and that {} | . |= empty does exactly what del(.) does are merely design choices.

Filter results using bash

To be more clear, look at the below text file.
https://brianbrandt.dk/web/var/www/public_html/.htpasswd
https://brianbrandt.dk/web/var/www/public_html/wp-config.php
https://briannajackson1.wordpress.org/high-entropy-misc.txt
https://briannajackson1.wordpress.org/Homestead.yaml
https://brickellmiami.centric.hyatt.com/dev
https://brickellmiami.centric.hyatt.com/django.log
https://brickellmiami.centric.hyatt.com/.dockercfg
https://brickellmiami.centric.hyatt.com/docker-compose.yml
https://brickellmiami.centric.hyatt.com/.docker/config.json
https://brickellmiami.centric.hyatt.com/Dockerfile
https://brideonashoestring.wordpress.org/web/var/www/public_html/config.php
https://brideonashoestring.wordpress.org/web/var/www/public_html/wp-config.php
https://brideonashoestring.wordpress.org/wp-config.php
https://brideonashoestring.wordpress.org/.wp-config.php.swp
https://brideonashoestring.wordpress.org/_wpeprivate/config.json
https://brideonashoestring.wordpress.org/yarn-debug.log
https://brideonashoestring.wordpress.org/yarn-error.log
https://brideonashoestring.wordpress.org/yarn.lock
https://brideonashoestring.wordpress.org/.yarnrc
https://bridgehome.adobe.com/etc/shadow
https://bridgehome.adobe.com/phpinfo.php
https://bridgetonema.wordpress.org/manifest.json
https://bridgetonema.wordpress.org/manifest.yml
https://bridge.twilio.com/.wp-config.php.swp
https://bridge.twilio.com/wp-content/themes/.git/config
https://bridge.twilio.com/_wpeprivate/config.json
https://bridge.twilio.com/yarn-debug.log
https://bridge.twilio.com/yarn-error.log
https://bridge.twilio.com/yarn.lock
https://bridge.twilio.com/.yarnrc
https://brightside.mtn.co.za/config.lua
https://brightside.mtn.co.za/config.php
https://brightside.mtn.co.za/config.php.txt
https://brightside.mtn.co.za/config.rb
https://brightside.mtn.co.za/config.ru
https://brightside.mtn.co.za/_config.yml
https://brightside.mtn.co.za/console
https://brightside.mtn.co.za/.credentials
https://brightside.mtn.co.za/CVS/Entries
https://brightside.mtn.co.za/CVS/Root
https://brightside.mtn.co.za/dasbhoard/
https://brightside.mtn.co.za/data
https://brightside.mtn.co.za/data.txt
https://brightside.mtn.co.za/db/dbeaver-data-sources.xml
https://brightside.mtn.co.za/db/dump.sql
https://brightside.mtn.co.za/db/.pgpass
https://brightside.mtn.co.za/db/robomongo.json
https://brightside.mtn.co.za/README.txt
https://brightside.mtn.co.za/RELEASE_NOTES.txt
https://brightside.mtn.co.za/.remote-sync.json
https://brightside.mtn.co.za/Resources.zip.manifest
https://brightside.mtn.co.za/.rspec
https://br.infinite.sx/db/dump.sql
https://br.infinite.sx/graphiql
The domain name brightside.mtn.co.za and other domains repeated more than 10 times now i want to drop brightside.mtn.co.za and other domains that are repeated more than 10 times and then the output the results the output should look like.
https://br.infinite.sx/db/dump.sql
https://br.infinite.sx/graphiql
https://bridgetonema.wordpress.org/manifest.json
https://bridgetonema.wordpress.org/manifest.yml
[The following is a response to the original question, which was premised on JSON input.]
Since you need to count the items in a group, it would appear that you will find group_by( sub("/[^/]*$";"") ) useful.
For example, if you wanted to omit large groups entirely, as one interpretation of the stated requirements would seem to imply, you could use the following filter:
[.results[] | select(.status==301) | .url]
| group_by( sub("/[^/]*$";"") )
| map(select(length < 10) )
| .[][]
If the text input is in input.txt, then one solution using jq at the bash command line would be:
< input.txt jq -Rr '[inputs]
| group_by( sub("/[^/]*$";"") )
| map(select(length < 10) )
| .[][]'
(If you want the output as JSON strings, omit the -r option.)
A more efficient solution
The above solution uses the built-in filter group_by/1 and is thus somewhat inefficient. For a very large number of input lines, a more efficient solution would be:
< input.txt jq -Rr '
def GROUPS_BY(stream; f):
reduce stream as $x ({}; .[$x|f] += [$x] ) | .[] ;
GROUPS_BY(inputs; sub("/[^/]*$";""))
| select(length < 10)
| .[]'

jq create output in many separate files

given the following json:
[
{"_id":{"$oid":"6d2"},"jlo":"ΕΙ AJSB","dd":"d5f"},
{"_id":{"$oid":"c6d3"},"jlo":"ΕΙ ALKSB","dd":"5d9"},
{"_id":{"$oid":"b0cc6d4"},"jlo":"ΕΙ AGHTSB","dd":"1b1"},
{"_id":{"$oid":"6d2"},"jlo":"ΕPOWΙ AJSB","dd":"d5f"},
{"_id":{"$oid":"c6d3"},"jlo":"ΕGTΙ ALKSB","dd":"5d9"},
{"_id":{"$oid":"b0cc6d4"},"jlo":"ΕLKΙ AGHTSB","dd":"1b1"}
]
what i need to do is have as output for each discrete value of the ll element, the unique values of ta, in a separate file, named after a one to one representation where each dd code is substituted with a human readable representation:
d5f:departmentone
5d9:departmentalt
1b1:departshort
Desired output, in a per row basis, each unique value of jlo with the count of times it was found in each dd element so we get in the end something like this:
first file named departmentone.txt:
ΕΙ AJSB 1
ΕPOWΙ AJSB 1
second file named departmentalt.txt
ΕΙ ALKSB 1
ΕGTΙ ALKSB 1
third file named departshort.txt
ΕΙ AGHTSB 2
i have tried with map and reduce, group_by, sort_by, with really poor results
Only one invocation of jq is necessary. To allocate the output to the separate files, you can combine this one invocation with a single invocation to awk, or you could use a shell loop as illustrated below.
First, here's an illustration of how the shell pipeline would look:
jq -r --rawfile dd2name dd2name.tsv -f group.jq input.json |
while IFS=$'\t' read -r f v ; do echo "$v" >> "$f" ; done
This assumes that the mapping to filenames is in a TSV file named dd2name.tsv, and that the following jq program is in group.jq:
def dict:
split("\n") | map(select(length>0) | split("\t"))
| INDEX(.[0]) | map_values(.[1]);
($dd2name | dict) as $dict
| ($dict | keys_unsorted[]) as $dd
| map(select(.dd == $dd))
| group_by(.jlo)
| map("\($dict[$dd])\t\(.[0].jlo) \(length)")[]
As the name suggests, the dict function creates a dictionary giving the mapping of .dd values to the filenames. It assumes the availability of INDEX. If your jq does not have INDEX, then now would be an excellent time to upgrade your jq; otherwise, its def can easily be copied from builtin.jq (google: builtin.jq "def INDEX"), or you could replace the last line by: | reduce .[] as $p ({}; .[$p[0]] = $p[1]);
awk-based solution
The following invocation of awk can be used instead of the while ... done command above:
awk -F\\t 'fn && (fn!=$1) {close(fn)}; {fn=$1; print $2 >> fn}'
Season to taste
If the dd2name.tsv mapping file does not contain the ".txt" suffix, it can easily be added in any of a variety of ways, according to taste.
Note also that the proposed solutions above make some assumptions, notably that the .jlo values do not contain tabs, newlines, or NULs. If any of those assumptions is violated, then some tweaking will be required.
I'd do it in three passes, filtering the array with the desired dd and grouping by jlo, then extracting the jlo of the first (guaranteed) item of the array and its length :
map(select(.dd == "d5f")) | group_by(.jlo) | map("\(.[0].jlo) \(length)") | .[]
You can try it here.
Full bash run :
jq --arg dd d5f --raw-output 'map(select(.dd == $dd)) | group_by(.jlo) | map("\(.[0].jlo) \(length)") | .[]' yourJsonFile > departmentone.txt
jq --arg dd 5d9 --raw-output 'map(select(.dd == $dd)) | group_by(.jlo) | map("\(.[0].jlo) \(length)") | .[]' yourJsonFile > departmentalt.txt
jq --arg dd 1b1 --raw-output 'map(select(.dd == $dd)) | group_by(.jlo) | map("\(.[0].jlo) \(length)") | .[]' yourJsonFile > departmentshort.txt
Supposing you have a file named "mapping.txt" with the following content :
d5f:departmentone
5d9:departmentalt
1b1:departshort
You could extract those codes and labels to generate the files :
while IFS=: read -r code label; do
jq --arg dd $code --raw-output 'map(select(.dd == $dd)) | group_by(.jlo) | map("\(.[0].jlo) \(length)") | .[]' yourJsonFile > "$label".txt
done < mapping.txt

How to print out the top-level json after modification of descendants

Hello i managed to create this jq filter .profiles | recurse | .gameDir? | if type == "null" then "" else . end | scan("{REPLACE}.*") | sub("{REPLACE}"; "{REPLACESTRINGHERE}"). it succesfully replaces what i want (checked at jqplay.org) but now i'd like to print the full json and not just the modified strings
Adapting your query:
.profiles |= walk( if type == "object" and has("gameDir")
then .gameDir |=
(if type == "null" then "" else . end
| scan("{REPLACE}.*") | sub("{REPLACE}"; "{REPLACESTRINGHERE}"))
else .
end )
(This can easily be tweaked for greater efficiency.)
If your jq does not have walk, you can google it (jq “def walk”) or snarf its def from the jq FAQ https://github.com/stedolan/jq/wiki/FAQ
walk-free approach
For the record, here's an illustration of a walk-free approach using paths. The following also makes some changes in the computation of the replacement string -- notably it eliminates the use of scan -- so it is not logically equivalent, but is likely to be more useful as well as more efficient.
.profiles |=
( . as $in
| reduce (paths | select(.[-1] == "gameDir")) as $path ($in;
($in | getpath($path)
| if type == "null" then ""
else sub(".*{REPLACE}"; "{REPLACESTRINGHERE}")
end) as $value
| setpath($path; $value) ))

How to make paths to leafs of a JSON?

Say we have the following JSON:
[
{
"dir-1": [
"file-1.1",
"file-1.2"
]
},
"dir-1",
{
"dir-2": [
"file-2.1"
]
}
]
And we want to get the next output:
"dir-1/file-1.1"
"dir-1/file-1.2"
"dir-1"
"dir-2/file-2.1"
i.e. to get the paths to all leafs, joining items with /. Is there a way to do that on JQ?
I tried something like this:
cat source-file | jq 'path(..) | [ .[] | tostring ] | join("/")'
But it doesn't produce what I need even close.
You could take advantage of how streams work by merging the path with their values. Streams will only emit path, value pairs for leaf values. Just ignore the numbered indices.
$ jq --stream '
select(length == 2) | [(.[0][] | select(strings)), .[1]] | join("/")
' source-file
returns:
"dir-1/file-1.1"
"dir-1/file-1.2"
"dir-1"
"dir-2/file-2.1"
Here is a solution similar to Jeff Mercado's which uses tostream and flatten
tostream | select(length==2) | .[0] |= map(strings) | flatten | join("/")
Try it online at jqplay.org
Another way is to use a recursive function to walk the input such as
def slashpaths($p):
def concat($p;$k): if $p=="" then $k else "\($p)/\($k)" end;
if type=="array" then .[] | slashpaths($p)
elif type=="object" then
keys_unsorted[] as $k
| .[$k] | slashpaths(concat($p;$k))
else concat($p;.) end;
slashpaths("")
Try it online at tio.run!
Using --stream is good but the following is perhaps less esoteric:
paths(scalars) as $p
| getpath($p) as $v
| ($p | map(strings) + [$v])
| join("/")
(If using jq 1.4 or earlier, and if any of the leaves might be numeric or boolean or null, then [$v] above should be replaced by [$v|tostring].)
Whether the result should be regarded as "paths to leaves" is another matter...