json.parse() function
json.parse() is experimental and subject to change at any time.
json.parse() takes JSON data as bytes and returns a value.
JSON types are converted to Flux types as follows:
| JSON type | Flux type |
|---|---|
| boolean | boolean |
| number | float |
| string | string |
| array | array |
| object | record |
Function type signature
(data: bytes) => A
For more information, see Function type signatures.
Parameters
data
(Required) JSON data (as bytes) to parse.
Examples
- Parse and use JSON data to restructure tables
- Parse JSON and use array functions to manipulate into a table
Parse and use JSON data to restructure tables
import "experimental/json"
data
|> map(
fn: (r) => {
jsonData = json.parse(data: bytes(v: r._value))
return {
_time: r._time,
_field: r._field,
a: jsonData.a,
b: jsonData.b,
c: jsonData.c,
}
},
)
Parse JSON and use array functions to manipulate into a table
import "experimental/json"
import "experimental/array"
jsonStr =
bytes(
v:
"{
\"node\": {
\"items\": [
{
\"id\": \"15612462\",
\"color\": \"red\",
\"states\": [
{
\"name\": \"ready\",
\"duration\": 10
},
{
\"name\": \"closed\",
\"duration\": 13
},
{
\"name\": \"pending\",
\"duration\": 3
}
]
},
{
\"id\": \"15612462\",
\"color\": \"blue\",
\"states\": [
{
\"name\": \"ready\",
\"duration\": 5
},
{
\"name\": \"closed\",
\"duration\": 0
},
{
\"name\": \"pending\",
\"duration\": 16
}
]
}
]
}
}",
)
data = json.parse(data: jsonStr)
// Map over all items in the JSON extracting
// the id, color and pending duration of each.
// Construct a table from the final records.
array.from(
rows:
data.node.items
|> array.map(
fn: (x) => {
pendingState =
x.states
|> array.filter(fn: (x) => x.name == "pending")
pendingDur =
if length(arr: pendingState) == 1 then
pendingState[0].duration
else
0.0
return {id: x.id, color: x.color, pendingDuration: pendingDur}
},
),
)
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