I need to flatten a db using nifi. I read in a table based in a PK ID. For each row the nifi content is shown as a MapRecord. I need to pull each field value out of the MapRecord and make it a json property.
Input:
{
"maxResults": 150,
"total": 89,
"issues": "MapRecord[{issueId=1, firstName=Jack, lastName=Smith}]",
"address": "MapRecord[{addressId=1, street=Mockingbird Lane, town=Timbuktoo}]"
}
Notice in the MapRecord nothing is in quotes. I don't know why this is like this. It is obviously not JSON.
I want the result to look like:
Expected output:
{
"maxResults": 150,
"total": 89,
"firstName": "Jack",
"lastName": "Smith",
"street": "Mockingbird Lane",
"town": "Timbuktoo"
}
Does anyone know how to do this using a JOLT transform?
Thanks.
You can manage it to solve by applying too many transformation specs. In the first step need to extract the key-value pairs. In order to perform this split function within modify-overwrite-beta might be used. At the later steps, need to keep the existing pairs(maxResults&total) and properly combine with the extracted ones using some trick methods such as
[
{
"operation": "modify-overwrite-beta",
"spec": {
"i": "=split('}',#(1,issues))",
"a": "=split('}',#(1,address))"
}
},
{
"operation": "modify-overwrite-beta",
"spec": {
"i": "=split(', ',#(1,i))",
"a": "=split(', ',#(1,a))"
}
},
{
"operation": "shift",
"spec": {
"maxResults": "&",
"total": "&",
"i|a": {
"0": { "1|2": { "#": "theRest" } }
}
}
},
{
"operation": "shift",
"spec": {
"*": "arr0.&",
"theRest": { "*": "&" }
}
},
{
"operation": "modify-overwrite-beta",
"spec": {
"*": "=split('=',#(1,&))"
}
},
{
"operation": "shift",
"spec": {
"arr0": {
"*": {
"#": "arr[1]",
"$": "arr[0]"
}
},
"*": {
"*": {
"#": "arr.[&1]"
}
}
}
},
{
"operation": "shift",
"spec": {
"*": "&",
"arr": {
"0": null,
"*": {
"*": "[&1].#(2,[0].[&])"
}
}
}
},
{
"operation": "shift",
"spec": {
"0": null,
"*": ""
}
}
]
Related
I have a use case, where we're getting JSON data in complicated fashion, i have translate this object as JSON array and now am unable to extract the key/value from the array, and also there is no guarantee that every time we'll receive the Tags.
Please suggest how we can extract this from array.
Input JSON :
[
{
"SourceId": "/Apple/bb842437dd4/sourceGroups/ALPHABAT/providers/Mobile.com/phone/isp",
"Tags": "Name\": \"OMapplication\",\"Owner\": \"Breily",
"Tagscopy": [
"Name\": \"OMapplication\"",
"\"Owner\": \"Breily"
],
"ResourceName": "omapps"
},
{
"SourceId": "/Apple/bb842437dd4/sourceGroups/ALPHABAT/providers/Mobile.com/phone/isp",
"Tags": "mobile-source-usage\": \"apple-cloud",
"Tagscopy": [
"mobile-source-usage\": \"apple-cloud"
],
"ResourceName": "omapps"
}
]
Need to do operation on "Tagscopy", we're getting random data in this.
Desired JSON :
[
{
"SourceId": "/Apple/bb842437dd4/sourceGroups/ALPHABAT/providers/Mobile.com/phone/isp",
"Tags": "Name\": \"OMapplication\",\"Owner\": \"Breily",
"Name": "OMapplication",
"Owner": "Breily",
"ResourceName": "omapps"
},
{
"SourceId": "/Apple/bb842437dd4/sourceGroups/ALPHABAT/providers/Mobile.com/phone/isp",
"Tags": "mobile-source-usage\": \"apple-cloud",
"mobile-source-usage": "apple-cloud",
"ResourceName": "omapps"
}
]
Jolt Spec Used :
[
{
"operation": "modify-overwrite-beta",
"spec": {
"*": {
"SourceIdcopy": "=split('/', #(1,SourceId))",
"Tagscopy": "=split(',', #(1,Tags))",
"SourceName": "=lastElement(#(1,SourceIdcopy))"
}
}
},
{
"operation": "remove",
"spec": {
"*": {
"SourceIdcopy": ""
}
}
},
{
"operation": "modify-default-beta",
"spec": {
"*": {
"*": "&",
"Tagscopy": {
"*": "&"
}
}
}
}
]
You can use the following transformation spec
[
{// Split members of the "Tagscopy" array with integer(0,1) suffixed keys
"operation": "shift",
"spec": {
"*": {
"*": "&1.&",
"Tagscopy": {
"*": {
"#": "&3.&2&1"
}
}
}
}
},
{// Split related strings by colon characters
"operation": "modify-overwrite-beta",
"spec": {
"*": {
"Tagscopy*": "=split(': ', #(1,&))"
}
}
},
{// Match components of those array component1 against component2
"operation": "shift",
"spec": {
"*": {
"*": "&1.&",
"Tagscopy*": {
"#1,&[1]": "&2.&1.#(2,&[0])"
}
}
}
},
{
"operation": "modify-overwrite-beta",
"spec": {
"*": {
"Tagscopy*": {
"*": "=split('\"', #(1,&))"
}
}
}
},
{// Prune undesired values for right-hand-side
"operation": "modify-overwrite-beta",
"spec": {
"*": {
"Tagscopy*": {
"*": "=join('', #(1,&))"
}
}
}
},
{// Prune undesired values for left-hand-side(keys)
"operation": "shift",
"spec": {
"*": {
"*": "[&1].&",
"Tagscopy*": {
"\"*\"": "[&2].&(0,1)",
"*\"": "[&2].&(0,1)"
}
}
}
}
]
pls help me out wit this jolt specification. pls help me
Notes :
Resourcename is the last element of ResourceId which will be a new attribute that we need to add to the expected output
Tags field needs to be copied and splited as mentioned in the expected output.
Input :
[
{
"ResourceId": "/subscriptions/bb842437aa4/resourceGroups/ECHLABHENKEL/providers/Microsoft.Compute/virtualMachines/pmoapps",
"Tags": "Name\": \"PMOapplication\",\"Owner\": \"Breil sathish"
},
{
"ResourceId": "/subscriptions/bb842437aa4/resourceGroups/HCLTECHLABHENKEL/providers/Microsoft.Compute/virtualMachines/pmoapps",
"Tags": "Name\": \"PMOapplication\",\"Owner\": \"Breil sathish1"
}
]
Expected Output :
[
{
"ResourceId": "/subscriptions/bb842437aa4/resourceGroups/ECHLABHENKEL/providers/Microsoft.Compute/virtualMachines/pmoapps",
"Tags": "Name\": \"PMOapplication\",\"Owner\": \"Breil sathish",
"Resourcename": "pmoapps",
"Name": "PMOapplication",
"Owner": "Breil sathish"
},
{
"ResourceId": "/subscriptions/bb842437aa4/resourceGroups/HCLTECHLABHENKEL/providers/Microsoft.Compute/virtualMachines/pmoapps",
"Tags": "Name\": \"PMOapplication\",\"Owner\": \"Breil sathish1",
"Resourcename": "pmoapps",
"Name": "PMOapplication",
"Owner": "Breil sathish1"
}
]
Thanks,
N Sathish
You can use the following transformation spec as reading the explanations stated at the beginning of each of them such as
[
{ // Convert the value of the attributes to individual arrays with the identical names
"operation": "modify-overwrite-beta",
"spec": {
"*": {
"ResourceName": "=split('/', #(1,ResourceId))",
"tag": "=split(',', #(1,Tags))"
}
}
},
{ // Generate tag0 and tag1 attributes by splitting members of the "tag" array
"operation": "shift",
"spec": {
"*": {
"*": "&1.&",
"tag": {
"*": {
"#": "&3.&2&1"
}
}
}
}
},
{ // Split related strings by colon characters for "tag" array while deriving the last element of "ResourceName" array
"operation": "modify-overwrite-beta",
"spec": {
"*": {
"R*": "=lastElement(#(1,&))",
"tag*": "=split(': ', #(1,&))"
}
}
},
{ // Match components of "tag" array component 1 against component 2
"operation": "shift",
"spec": {
"*": {
"*": "&1.&",
"tag*": {
"#1,&[1]": "&2.&1.#(2,&[0])"
}
}
}
},
{ // Split the values by \" character combination
"operation": "modify-overwrite-beta",
"spec": {
"*": {
"tag*": {
"*": "=split('\"', #(1,&))"
}
}
}
},
{ // Prune undesired values for right-hand-side
"operation": "modify-overwrite-beta",
"spec": {
"*": {
"tag*": {
"*": "=join('', #(1,&))"
}
}
}
},
{ // Prune undesired values for left-hand-side(keys)
"operation": "shift",
"spec": {
"*": {
"*": "[&1].&",
"tag*": {
"\"*\"": "[&2].&(0,1)",
"*\"": "[&2].&(0,1)"
}
}
}
}
]
I'm looking for flattening nested JSON file into SQL ready format.
JSON file's content:
{
"ProductLine": [
"Product 1",
"Product 2"
],
"Purchase": 364,
"Cancel": [
140,
2
]
}
My current transformation:
[
{
"operation": "shift",
"spec": {
"*": {
"*": {
"#": "[#2].&2"
}
}
}
}
]
Desired output:
[
{
"ProductLine": "Product 1",
"Purchase": 364,
"Cancel": 140
},
{
"ProductLine": "Product 2",
"Cancel": 2
}
]
The difficulty is that arrays can change, sometimes "Cancel" can be an array or sometimes "Purchase" block can be nested.
You can use this spec:
If Purchase or cancel be an array or not, this works
[
{
"operation": "cardinality",
"spec": {
"*": "MANY"
}
},
{
"operation": "shift",
"spec": {
"ProductLine": {
"*": {
"*": {
"#1": "[&2].&3",
"#(3,Purchase[&1])": "[&2].Purchase",
"#(3,Cancel[&1])": "[&2].Cancel"
}
}
}
}
}
]
First, change all values to the array. Now you can loop on the ProductLine and get other fields from Purchase and Cancel.
Update: The following answer has been obtained in collaboration with Barbaros Özhan. Special thanks.
[
{
"operation": "cardinality",
"spec": {
"*": "MANY"
}
},
{
"operation": "shift",
"spec": {
"*": {
"*": {
"#": "[#2].&2"
}
}
}
}
]
We can pick Purchase at a different(outer) level such as
[
{
"operation": "shift",
"spec": {
"*": {
"*": {
"#": "[#2].&2"
}
},
"Purchase": "[#].&"// at two level less than the inner object
}
}
]
the demo one the site http://jolt-demo.appspot.com/ is
Edit : Considering array indeterminance for the attributes, you can use the following spec alternatively
[
{ //reform two separate objects
"operation": "shift",
"spec": {
"#": "orj",
"*": "non_array.&.#0[]"
}
},
{ // in order to keep the non-array values as the first component of the newly formed array(s)
"operation": "sort"
},
{
"operation": "shift",
"spec": {
"*": { //the topmost level
"*": { //level for the keys
"*": "&1[]" //match keys and values to convert non-arrays to arrays
}
}
}
},
{// pick the first component for the non-array(s)
"operation": "modify-overwrite-beta",
"spec": {
"*": {
"*": "=firstElement"
}
}
},
{ // apply the original spec after having got individual array values
"operation": "shift",
"spec": {
"*": {
"*": {
"#": "[#2].&2"
}
}
}
},
{ //get rid of the attributes with null values
"operation": "modify-overwrite-beta",
"spec": {
"*": "=recursivelySquashNulls"
}
}
]
or another straightforward alternative would be using your original spec after applying cardinality spec such as
[
{
"operation": "cardinality",
"spec": {
"*": "MANY"
}
},
{
"operation": "shift",
"spec": {
"*": {
"*": {
"#": "[#2].&2"
}
}
}
}
]
i have JSON value as below :
{
"table": "table_name",
"op_type": "U",
"before": {
"AAAA": "1-1111",
"BBBB": "2022-08-31 03:57:01",
"CCCC": "2023-08-31 23:59:59"
},
"after": {
"AAAA": "1-1112",
"BBBB": "2022-08-31 10:10:34"
}
}
i want to do this how can i do?
{
"AAAA": "1-1112",
"BBBB": "2022-08-31 10:10:34",
"CCCC": "2023-08-31 23:59:59"
"changed_columns": "AAAA, BBBB"
}
AAAA: "If you have after.AAAA, take AAAA else before.AAAA", BBBB: "If you have after.BBBB, take BBBB else before.BBBB.
AND I want to add changed_columns field like this :
,"changed_columns": "AAAA, BBBB"
is there a way to do this?
You can use shift operation and getting after values for the first. and then you can using before values. So if keys match with together you have an array with two element.
Now You can get first element to getting after values with modify-overwrite-beta operations and =firstElement function.
[
{
"operation": "shift",
"spec": {
"after": {
"*": {
"$": "changed_columns[]",
"#(1,&)": "&1"
}
},
"before": {
"*": "&"
}
}
},
{
"operation": "modify-overwrite-beta",
"spec": {
"*": "=firstElement(#(1,&))",
"changed_columns": "=join(', ',#(1,changed_columns))"
}
}
]
You can use
cardinality spec lately after using "after|before" as the key in this order to determine the precedence
exchange key-value pairs consecutively twice to determine whether
really changed the components in order to form "changed_columns"
such as
[
{
// multiplex the attributes in order to generate three independent groups
"operation": "shift",
"spec": {
"after|before": { // this order is important to determine the precedence in the upcoming cardinality spec
"*": {
"#": "&",
"#(0)": "l.&",
"*": {
"#1": "f.&2"
}
}
}
}
},
{
// determine whether before vs. after values equal through this and next two specs
"operation": "modify-overwrite-beta",
"spec": {
"l": {
"*": "=lastElement(#(1,&))"
},
"f": {
"*": "=firstElement(#(1,&))"
}
}
},
{
"operation": "shift",
"spec": {
"*": "&",
"l|f": {
"*": {
"$": "lf.#(0)"
}
}
}
},
{
"operation": "shift",
"spec": {
"*": "&",
"lf": {
"*": {
"$": "&2.#(0)"
}
}
}
},
{
// construct an array from those newly formed keys
"operation": "shift",
"spec": {
"*": "&",
"lf": {
"*": {
"$": "changed_columns"
}
}
}
},
{
"operation": "modify-overwrite-beta",
"spec": {
"changed_columns": "=join(', ',#(1,&))"
}
},
{
"operation": "cardinality",
"spec": {
"*": "ONE"
}
},
{
"operation": "sort"
}
]
I need to extract values from primary_keys array and join them into one string. But I'm having troubles with values extraction.
Simplified input json:
{
"primary_keys": [
"ITEM",
"LOC",
"COMP_ID"
],
"ITEM": "ID158",
"LOC": 41,
"COMP_ID": "BPF",
"VALUE": 0.78
}
Expected output:
{
"PK": "ID158|41|BPF",
"ITEM": "ID158",
"LOC": 41,
"COMP_ID": "BPF",
"VALUE": 0.78
}
Content of primary_keys array may differ from one flowfile to another. I appreciate any input. thanks!
You can use modify-overwrite-beta transformation along with join function after deriving an array(PK) composed of the respective values for the each members of primary_keys array through use of shift transformations such as
[
{
"operation": "shift",
"spec": {
"*": "&",
"primary_keys": {
"*": {
"*": { "$": "PK.#(4,&)" }
}
}
}
},
{
"operation": "shift",
"spec": {
"*": "&",
"PK": {
"*": {
"$": "&2"
}
}
}
},
{
"operation": "modify-overwrite-beta",
"spec": {
"PK": "=join('|',#(1,&))"
}
}
]