i have JSON value as below :
{
"table": "table_name",
"op_type": "U",
"before": {
"AAAA": "1-1111",
"BBBB": "2022-08-31 03:57:01"
},
"after": {
"AAAA": "1-1111",
"BBBB": "2022-08-31 10:10:34",
"DDDD": "2023-08-31 23:59:59"
}
}
I want to add column_names field like this :
,"changed_columns": "AAAA,BBBB,DDDD"
is there a way to do this?
You can use the following specs in which the main idea is to arrange the attributes so as to generate an array with unique elements within the an array by using successive shift transformation, then combine them within a modify transformation such as
[
{
// combine common key names for each respective values for the attributes
"operation": "shift",
"spec": {
"before|after": {
"*": {
"$": "&"
}
}
}
},
{
// construct an array from those newly formed keys
"operation": "shift",
"spec": {
"*": {
"$": "changed_columns"
}
}
},
{
// make them comma-separated
"operation": "modify-overwrite-beta",
"spec": {
"*": "=join(',',#(1,&))"
}
}
]
the demo on the site http://jolt-demo.appspot.com/ is
Edit : If your aim is to keep newly generated attribute along with the existing ones, then you can prefer using the following spec
[
{
"operation": "shift",
"spec": {
"*": "&", //else case
"before|after": {
"*": {
"$": "cc.&",
"#": "&2.&"
}
}
}
},
{
"operation": "shift",
"spec": {
"cc": {
"*": {
"$": "changed_columns"
}
},
"*": "&" //else case
}
},
{
"operation": "modify-overwrite-beta",
"spec": {
"changed_columns": "=join(',',#(1,&))"
}
}
]
Related
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 try to truncate strings in an array with JOLT. The character "^" should be removed from any string that contains it in the first position.
Sample Input:
{
"scores": [
"^aaaa",
"^bbbb",
"cccc",
"^dddd",
"eeee"
]
}
Expected Output:
{
"scores" : [ "aaaa", "bbbb", "cccc", "dddd", "eeee" ]
}
My Spec:
[
{
"operation": "modify-overwrite-beta",
"spec": {
"splittedScores": "=split('\\^',#(1,scores))",
"scores": "=join('',#(1,splittedScores))" // <--- Not working
}
}
]
Seems you'd need one extra shift transformation sandwiched between modify transformations to tame the subarrays such as
[
{
"operation": "modify-overwrite-beta",
"spec": {
"*": "=split('\\^',#(1,&))"
}
},
{
"operation": "shift",
"spec": {
"*": {
"*": "&"
}
}
},
{
"operation": "modify-overwrite-beta",
"spec": {
"*": "=join('',#(1,&))"
}
},
{
"operation": "shift",
"spec": {
"*": {
"#": "scores"
}
}
}
]
the demo on the site http://jolt-demo.appspot.com/ is
or only one shift transformation will be sufficient to use(a straightforward option) such as
[
{
"operation": "shift",
"spec": {
"*": {
"*": {
"^*": {
"$(0,1)": "&3"
},
"*": {
"$": "&3"
}
}
}
}
}
]
splitting by "$(0,1)" wildcard for the object under "^*" node. &3 represents going three levels up to grab the name of the key scores .
the demo on the site http://jolt-demo.appspot.com/ is
If ^ is being removed in the first position really matters, then the second method; if all ^ characters from any strings should be removed, then the first method should be used.
I would like to search a list for the first real string element (which could be not a number) and output this.
Input :
{
"firstString": [
"0.20",
"test",
"0.30"
]
}
or
{
"firstString": [
"0.20",
"0,30",
"test"
]
}
Expected Output :
{
"readingS": "test"
}
The order of the element can change, either it comes to 2nd or 3rd placeholder. The list is maximum 3 elements long.
My thought was to go over either the last or middle element, however this does not work. The list is generated just before with the modify-overwrite-beta.
You can still use modify-overwrite-beta transformation along with toInteger conversion such as
[
//Determine the elements whether toInteger conversion is applicable for them
{
"operation": "modify-overwrite-beta",
"spec": {
"arr": "=(#(1,firstString))",
"0": "=toInteger(#(1,arr[0]))",
"1": "=toInteger(#(1,arr[1]))",
"2": "=toInteger(#(1,arr[2]))"
}
},
//The arrays are generated from the elements which are eligible to
//conversion, while not for the others
{
"operation": "shift",
"spec": {
"*": "&",
"arr": { "*": "&" }
}
},
//The arrays are removed, so all numeric ones by reversing
//key-value pairs
{
"operation": "shift",
"spec": {
"*": {
"$": "#(0)"
}
}
},
//Reverse back the pairs
{
"operation": "shift",
"spec": {
"*": {
"$": "readingS[#2]"
}
}
},
//and pick the leftmost element
{
"operation": "cardinality",
"spec": {
"*": "ONE"
}
}
]
You have some values that ended with numbers. So we can match all values that ended with the number, and we have a real string in the last.
[
{
"operation": "shift",
"spec": {
"firstString": {
"*": {
"*0": "",
"*1": "",
"*2": "",
"*3": "",
"*4": "",
"*5": "",
"*6": "",
"*7": "",
"*8": "",
"*9": "",
"*": {
"$": "readingS"
}
}
}
}
}, {
"operation": "shift",
"spec": {
"*": {
"*": "&"
}
}
}
]