INNER JOIN in jq - json
Using the input given, I need to join the true "user" value from the tweets array with the id in the users array and display the users array object as part of the tweets array
Input:
{
"tweets": [
{
"tweet": "Hey, i gonna release GPT4 soon",
"user": 1
},
{
"tweet": "We have launched falcon 10 yesterday, it was awesome, one step closer to Mars",
"user": 2
},
{
"tweet": "Databar acquires Statista.com, great news coming out",
"user": 3
},
{
"tweet": "Gpt4 is available",
"user": 1
}
],
"users": [
{ "id": 1, "name": "a" },
{ "id": 2, "name": "b" },
{ "id": 3, "name": "c" }
]
}
Output
[
{
"tweet": "Hey, i gonna release GPT4 soon",
"user": {
"id": 1,
"name": "a"
}
},
{
"tweet": "We have launched falcon 10 yesterday, it was awesome, one step closer to Mars",
"user": {
"id": 2,
"name": "b"
}
},
{
"tweet": "Databar acquires Statista.com, great news coming out",
"user": {
"id": 3,
"name": "c"
}
},
{
"tweet": "Gpt4 is available",
"user": {
"id": 1,
"name": "a"
}
}
]
I tried using an if condition to find the equal values first, but it loops through the entire array, hence I cant get the specific value of the value in the users array that the ID is equal too
Build an INDEX, then use that to map your tweets:
INDEX(.users[]; .id) as $idx | .tweets | map({ tweet, user: $idx[.user|tostring] })
or using JOIN directly:
[JOIN(INDEX(.users[]; .id); .tweets[]; .user|tostring; .[0] + { user: .[1] })]
You could also do it the inefficient way, finding the correct user by iterating:
.users as $users
| .tweets
| map({ tweet, user: (.user as $user | $users[] | select(.id == $user))})
#knittl's solutions using INDEX are fine unless there is a "collision" of ids (e.g. if .id can be both 1 and "1").
To avoid collisions and to allow other types of .id values, you could use
SAFE_INDEX and lookup defined as follows:
def SAFE_INDEX(stream; idx_expr):
reduce stream as $row ({};
($row|idx_expr) as $ix
| .[$ix|type][$ix|tostring] = $row);
def lookup($value):
.[$value|type] as $t
| if ($t|type) == "object" then $t[$value|tostring] else null end;
So a generic solution to the problem would look like this:
SAFE_INDEX(.users[]; .id) as $idx
| .tweets
| map({ tweet, user: (.user as $user | $idx |lookup($user)) })
Related
How to count occurrences of a key-value pair per individual object in JQ?
I could not find how to count occurrence of "title" grouped by "member_id"... The json file is: [ { "member_id": 123, "loans":[ { "date": "123", "media": [ { "title": "foo" }, { "title": "bar" } ] }, { "date": "456", "media": [ { "title": "foo" } ] } ] }, { "member_id": 456, "loans":[ { "date": "789", "media": [ { "title": "foo"} ] } ] } ] With this query I get loan entries for users with "title==foo" jq '.[] | (.member_id) as $m | .loans[].media[] | select(.title=="foo") | {id: $m, title: .title}' member.json { "id": 123, "title": "foo" } { "id": 123, "title": "foo" } { "id": 456, "title": "foo" } But I could not find how to get count by user (group by) for a title, to get a result like: { "id": 123, "title": "foo", "count": 2 } { "id": 456, "title": "foo", "count": 1 } I got errors like jq: error (at member.json:31): object ({"title":"f...) and array ([[123]]) cannot be sorted, as they are not both arrays or similar...
When the main goal is to count, it is usually more efficient to avoid constructing an array if determining its length is the only reason for doing so. In the present case you could, for example, write: def count(s): reduce s as $x (null; .+1); "foo" as $title | .[] | { id: .member_id, $title, count: count(.loans[].media[] | select(.title == $title)) } group_by has its uses, but it is well to be aware that it is inefficient even for grouping, because its implementation involves a sort, which is not strictly necessary if the goal is to "group by" some criterion. A completely generic sort-free "group by" function is a bit tricky to implement, but often a simple but non-generic version is sufficient, such as: # sort-free variant of group_by/1 # f must always evaluate to an integer or always to a string, which # could be achieved by using `tostring`. # Output: an array in the former case, or an object in the latter case def GROUP_BY(f): reduce .[] as $x (null; .[$x|f] += [$x] );
Using group_by : jq 'map( (.member_id) as $m | .loans[].media[] | select(.title=="foo") | {id: $m, title: .title} ) |group_by(.id)[] |.[0] + { count: length } ' input-file
jq parse json with stream flag into different json file
I have a json file as below called data.json, I want to parse the data with jq tool in streaming mode(do not load the whole file into memory), because the real data have 20GB the streaming mode in jq seems to add a flag --stream and it will parse the json file row by row { "id": { "bioguide": "E000295", "thomas": "02283", "govtrack": 412667, "opensecrets": "N00035483", "lis": "S376" }, "bio": { "gender": "F", "birthday": "1970-07-01" }, "tooldatareports": [ { "name": "A", "tooldata": [ { "toolid": 12345, "data": [ { "time": "2021-01-01", "value": 1 }, { "time": "2021-01-02", "value": 10 }, { "time": "2021-01-03", "value": 5 } ] }, { "toolid": 12346, "data": [ { "time": "2021-01-01", "value": 10 }, { "time": "2021-01-02", "value": 100 }, { "time": "2021-01-03", "value": 50 } ] } ] } ] } The final result I hope it can become as below A list contains two dict, each dict contain 2 keys [ { "data": [ { "time": "2021-01-01", "value": 1 }, { "time": "2021-01-02", "value": 10 }, { "time": "2021-01-03", "value": 5 } ] }, { "data": [ { "time": "2021-01-01", "value": 10 }, { "time": "2021-01-02", "value": 100 }, { "time": "2021-01-03", "value": 50 } ] } ] For this problem, I use the below command line to get a result, but it still has some differences. cat data.json | jq --stream 'select(.[0][0]=="tooldatareports" and .[0][2]=="tooldata" and .[1]!=null) | .' the result is not a list contain a lot of dict for each time and value are separate in the different list Does anyone have any idea about this?
Here's a solution that does not use truncate_stream: jq -n --stream ' [fromstream( inputs | (.[0] | index("data")) as $ix | select($ix) | .[0] |= .[$ix:] )] ' input.json
The following produces the required output: jq -n --stream ' [{data: fromstream(5|truncate_stream(inputs))}] ' input.json Needless to say, there are other variations ...
Here's a step-by-step explanation of peak's answers. First let's convert the json to stream. https://jqplay.org/s/VEunTmDSkf [["id","bioguide"],"E000295"] [["id","thomas"],"02283"] [["id","govtrack"],412667] [["id","opensecrets"],"N00035483"] [["id","lis"],"S376"] [["id","lis"]] [["bio","gender"],"F"] [["bio","birthday"],"1970-07-01"] [["bio","birthday"]] [["tooldatareports",0,"name"],"A"] [["tooldatareports",0,"tooldata",0,"toolid"],12345] [["tooldatareports",0,"tooldata",0,"data",0,"time"],"2021-01-01"] [["tooldatareports",0,"tooldata",0,"data",0,"value"],1] [["tooldatareports",0,"tooldata",0,"data",0,"value"]] [["tooldatareports",0,"tooldata",0,"data",1,"time"],"2021-01-02"] [["tooldatareports",0,"tooldata",0,"data",1,"value"],10] [["tooldatareports",0,"tooldata",0,"data",1,"value"]] [["tooldatareports",0,"tooldata",0,"data",2,"time"],"2021-01-03"] [["tooldatareports",0,"tooldata",0,"data",2,"value"],5] [["tooldatareports",0,"tooldata",0,"data",2,"value"]] [["tooldatareports",0,"tooldata",0,"data",2]] [["tooldatareports",0,"tooldata",0,"data"]] [["tooldatareports",0,"tooldata",1,"toolid"],12346] [["tooldatareports",0,"tooldata",1,"data",0,"time"],"2021-01-01"] [["tooldatareports",0,"tooldata",1,"data",0,"value"],10] [["tooldatareports",0,"tooldata",1,"data",0,"value"]] [["tooldatareports",0,"tooldata",1,"data",1,"time"],"2021-01-02"] [["tooldatareports",0,"tooldata",1,"data",1,"value"],100] [["tooldatareports",0,"tooldata",1,"data",1,"value"]] [["tooldatareports",0,"tooldata",1,"data",2,"time"],"2021-01-03"] [["tooldatareports",0,"tooldata",1,"data",2,"value"],50] [["tooldatareports",0,"tooldata",1,"data",2,"value"]] [["tooldatareports",0,"tooldata",1,"data",2]] [["tooldatareports",0,"tooldata",1,"data"]] [["tooldatareports",0,"tooldata",1]] [["tooldatareports",0,"tooldata"]] [["tooldatareports",0]] [["tooldatareports"]] Now do .[0] to extract the path portion of stream. https://jqplay.org/s/XdPrp8RuEj ["id","bioguide"] ["id","thomas"] ["id","govtrack"] ["id","opensecrets"] ["id","lis"] ["id","lis"] ["bio","gender"] ["bio","birthday"] ["bio","birthday"] ["tooldatareports",0,"name"] ["tooldatareports",0,"tooldata",0,"toolid"] ["tooldatareports",0,"tooldata",0,"data",0,"time"] ["tooldatareports",0,"tooldata",0,"data",0,"value"] ["tooldatareports",0,"tooldata",0,"data",0,"value"] ["tooldatareports",0,"tooldata",0,"data",1,"time"] ["tooldatareports",0,"tooldata",0,"data",1,"value"] ["tooldatareports",0,"tooldata",0,"data",1,"value"] ["tooldatareports",0,"tooldata",0,"data",2,"time"] ["tooldatareports",0,"tooldata",0,"data",2,"value"] ["tooldatareports",0,"tooldata",0,"data",2,"value"] ["tooldatareports",0,"tooldata",0,"data",2] ["tooldatareports",0,"tooldata",0,"data"] ["tooldatareports",0,"tooldata",1,"toolid"] ["tooldatareports",0,"tooldata",1,"data",0,"time"] ["tooldatareports",0,"tooldata",1,"data",0,"value"] ["tooldatareports",0,"tooldata",1,"data",0,"value"] ["tooldatareports",0,"tooldata",1,"data",1,"time"] ["tooldatareports",0,"tooldata",1,"data",1,"value"] ["tooldatareports",0,"tooldata",1,"data",1,"value"] ["tooldatareports",0,"tooldata",1,"data",2,"time"] ["tooldatareports",0,"tooldata",1,"data",2,"value"] ["tooldatareports",0,"tooldata",1,"data",2,"value"] ["tooldatareports",0,"tooldata",1,"data",2] ["tooldatareports",0,"tooldata",1,"data"] ["tooldatareports",0,"tooldata",1] ["tooldatareports",0,"tooldata"] ["tooldatareports",0] ["tooldatareports"] Let me first quickly explain index\1. index("data") of [["tooldatareports",0,"tooldata",0,"data",0,"time"],"2021-01-01"] is 4 since that is the index of the first occurrence of "data". Knowing that let's now do .[0] | index("data"). https://jqplay.org/s/ny0bV1xEED null null null null null null null null null null null 4 4 4 4 4 4 4 4 4 4 4 null 4 4 4 4 4 4 4 4 4 4 4 null null null null As you can see in our case the indexes are either 4 or null. We want to filter each input such that the corresponding index is not null. Those are the input that have "data" as part of their path. (.[0] | index("data")) as $ix | select($ix) does just that. Remember that each $ix is mapped to each input. So only input with their $ix being not null are displayed. For example see https://jqplay.org/s/NwcD7_USZE Here inputs | select(null) gives no output but inputs | select(true) outputs every input. These are the filtered stream: https://jqplay.org/s/SgexvhtaGe [["tooldatareports",0,"tooldata",0,"data",0,"time"],"2021-01-01"] [["tooldatareports",0,"tooldata",0,"data",0,"value"],1] [["tooldatareports",0,"tooldata",0,"data",0,"value"]] [["tooldatareports",0,"tooldata",0,"data",1,"time"],"2021-01-02"] [["tooldatareports",0,"tooldata",0,"data",1,"value"],10] [["tooldatareports",0,"tooldata",0,"data",1,"value"]] [["tooldatareports",0,"tooldata",0,"data",2,"time"],"2021-01-03"] [["tooldatareports",0,"tooldata",0,"data",2,"value"],5] [["tooldatareports",0,"tooldata",0,"data",2,"value"]] [["tooldatareports",0,"tooldata",0,"data",2]] [["tooldatareports",0,"tooldata",0,"data"]] [["tooldatareports",0,"tooldata",1,"data",0,"time"],"2021-01-01"] [["tooldatareports",0,"tooldata",1,"data",0,"value"],10] [["tooldatareports",0,"tooldata",1,"data",0,"value"]] [["tooldatareports",0,"tooldata",1,"data",1,"time"],"2021-01-02"] [["tooldatareports",0,"tooldata",1,"data",1,"value"],100] [["tooldatareports",0,"tooldata",1,"data",1,"value"]] [["tooldatareports",0,"tooldata",1,"data",2,"time"],"2021-01-03"] [["tooldatareports",0,"tooldata",1,"data",2,"value"],50] [["tooldatareports",0,"tooldata",1,"data",2,"value"]] [["tooldatareports",0,"tooldata",1,"data",2]] [["tooldatareports",0,"tooldata",1,"data"]] Before we go further let's review update assignment. Have a look at https://jqplay.org/s/g4P6j8f9FG Let's say we have input [["tooldatareports",0,"tooldata",0,"data",0,"time"],"2021-01-01"]. Then filter .[0] |= .[4:] produces [["data",0,"time"],"2021-01-01"]. Why? Remember that right hand side (.[4:]) inherits the context of the left hand side(.[0]). So in this case it has the effect of updating the path ["tooldatareports",0,"tooldata",0,"data",0,"time"] to ["data",0,"time"]. Let's move on then. So (.[0] | index("data")) as $ix | select($ix) | .[0] |= .[$ix:] has the output: https://jqplay.org/s/AwcQpVyHO2 [["data",0,"time"],"2021-01-01"] [["data",0,"value"],1] [["data",0,"value"]] [["data",1,"time"],"2021-01-02"] [["data",1,"value"],10] [["data",1,"value"]] [["data",2,"time"],"2021-01-03"] [["data",2,"value"],5] [["data",2,"value"]] [["data",2]] [["data"]] [["data",0,"time"],"2021-01-01"] [["data",0,"value"],10] [["data",0,"value"]] [["data",1,"time"],"2021-01-02"] [["data",1,"value"],100] [["data",1,"value"]] [["data",2,"time"],"2021-01-03"] [["data",2,"value"],50] [["data",2,"value"]] [["data",2]] [["data"]] Now all we need to do is convert this stream back to json. https://jqplay.org/s/j2uyzEU_Rc [fromstream(inputs)] gives: [ { "data": [ { "time": "2021-01-01", "value": 1 }, { "time": "2021-01-02", "value": 10 }, { "time": "2021-01-03", "value": 5 } ] }, { "data": [ { "time": "2021-01-01", "value": 10 }, { "time": "2021-01-02", "value": 100 }, { "time": "2021-01-03", "value": 50 } ] } ] This is the output we wanted.
select value from subfield that is inside an array
I have a JSON object that looks something like this: { "a": [{ "name": "x", "group": [{ "name": "tom", "publish": true },{ "name": "joe", "publish": true }] }, { "name": "y", "group": [{ "name": "tom", "publish": false },{ "name": "joe", "publish": true }] }] } I want to select all the entries where publish=true and create a simplified JSON array of objects like this: [ { "name": "x" "groupName": "tom" }, { "name": "x" "groupName": "joe" }, { "name": "y" "groupName": "joe" } ] I've tried many combinations but the fact that group is an array seems to prevent each from working. Both in this specific case as well as in general, how do you do a deep select without loosing the full hierarchy?
Using <expression> as $varname lets you store a value in a variable before going deeper into the hierarchy. jq -n ' [inputs[][] | .name as $group | .group[] | select(.publish == true) | {name, groupName: $group} ]' <input.json
You can use this: jq '.[]|map( .name as $n | .group[] | select(.publish==true) | {name:$n,groupname:.name} )' file.json
A shorter, effective alternative: .a | map({name, groupname: (.group[] | select(.publish) .name)}) Online demo
jq: count nest object values based on group by
Json: [ { "account": "1", "cost": [ { "usage":"low", "totalcost": "2.01" } ] }, { "account": "2", "cost": [ { "usage":"low", "totalcost": "2.25" } ] }, { "account": "1", "cost": [ { "usage":"low", "totalcost": "15" } ] }, { "anotheraccount": "a", "cost": [ { "usage":"low", "totalcost": "2" } ] } ] Results expected: account cost 1 17.01 2 2.25 anotheraccount cost a 2 I am able to pull out data but not sure how to aggregate it. jq '.[] | {account,cost : .cost[].totalcost}' Is there a way to do this in using jq, so I get all types of accounts and costs associated with them?
Two helper functions will help you get you to your destination: def sigma( f ): reduce .[] as $o (null; . + ($o | f )) ; def group( keyname ): map(select(has(keyname))) | group_by( .[keyname] ) | map({(keyname) : .[0][keyname], cost: sigma(.cost[].totalcost | tonumber) }) ; With these, the following invocations: group("account"), group("anotheraccount") yield: [{"account":"1","cost":17.009999999999998},{"account":"2","cost":2.25}] [{"anotheraccount":"a","cost":2}] You should be able to manage the final formating step in jq.
jq get the value of x based on y in a complex json file
jq strikes again. Trying to get the value of DATABASES_DEFAULT based on the name in a json file that has a whole lot of names and I'm completely lost. My file looks like the following (output of an aws ecs describe-task-definition) only much more complex; I've stripped this to the most basic example I can where the structure is still intact. { "taskDefinition": { "status": "bar", "family": "bar2", "volumes": [], "taskDefinitionArn": "bar3", "containerDefinitions": [ { "dnsSearchDomains": [], "environment": [ { "name": "bar4", "value": "bar5" }, { "name": "bar6", "value": "bar7" }, { "name": "DATABASES_DEFAULT", "value": "foo" } ], "name": "baz", "links": [] }, { "dnsSearchDomains": [], "environment": [ { "name": "bar4", "value": "bar5" }, { "name": "bar6", "value": "bar7" }, { "name": "DATABASES_DEFAULT", "value": "foo2" } ], "name": "boo", "links": [] } ], "revision": 1 } } I need the value of DATABASES_DEFAULT where the name is baz. Note that there are a lot of keypairs with name, I'm specifically talking about the one outside of environment. I've been tinkering with this but only got this far before realizing that I don't understand how to access nested values. jq '.[] | select(.name==DATABASES_DEFAULT) | .value' which is returning jq: error: DATABASES_DEFAULT/0 is not defined at <top-level>, line 1: .[] | select(.name==DATABASES_DEFAULT) | .value jq: 1 compile error Obviously this a) doesn't work, and b) even if it did, it's independant of the name value. My thought was to return all the db defaults and then identify the one with baz, but I don't know if that's the right approach.
I like to think of it as digging down into the structure, so first you open the outer layers: .taskDefinition.containerDefinitions[] Now select the one you want: select(.name =="baz") Open the inner structure: .environment[] Select the desired object: select(.name == "DATABASES_DEFAULT") Choose the key you want: .value Taken together: parse.jq .taskDefinition.containerDefinitions[] | select(.name =="baz") | .environment[] | select(.name == "DATABASES_DEFAULT") | .value Run it like this: <infile jq -f parse.jq Output: "foo"
The following seems to work: .taskDefinition.containerDefinitions[] | select( select( .environment[] | .name == "DATABASES_DEFAULT" ).name == "baz" ) The output is the object with the name key mapped to "baz". $ jq '.taskDefinition.containerDefinitions[] | select(select(.environment[]|.name == "DATABASES_DEFAULT").name=="baz")' tmp.json { "dnsSearchDomains": [], "environment": [ { "name": "bar4", "value": "bar5" }, { "name": "bar6", "value": "bar7" }, { "name": "DATABASES_DEFAULT", "value": "foo" } ], "name": "baz", "links": [] }