list_to_map
The list_to_map
processor converts a list of objects from an event, where each object contains a key
field, into a map of target keys.
Configuration
The following table describes the configuration options used to generate target keys for the mappings.
Option | Required | Type | Description |
---|---|---|---|
key | Yes | String | The key of the fields to be extracted as keys in the generated mappings. |
source | Yes | String | The list of objects with key fields to be converted into keys for the generated map. |
target | No | String | The target for the generated map. When not specified, the generated map will be placed in the root node. |
value_key | No | String | When specified, values given a value_key in objects contained in the source list will be extracted and converted into the value specified by this option based on the generated map. When not specified, objects contained in the source list retain their original value when mapped. |
flatten | No | Boolean | When true , values in the generated map output flatten into single items based on the flattened_element . Otherwise, objects mapped to values from the generated map appear as lists. |
flattened_element | Conditionally | String | The element to keep, either first or last , when flatten is set to true . |
Usage
The following example shows how to test the usage of the list_to_map
processor before using the processor on your own source.
Create a source file named logs_json.log
. Because the file
source reads each line in the .log
file as an event, the object list appears as one line even though it contains multiple objects:
{"mylist":[{"name":"a","value":"val-a"},{"name":"b","value":"val-b1"},{"name":"b", "value":"val-b2"},{"name":"c","value":"val-c"}]}
Next, create a pipeline.yaml
file that uses the logs_json.log
file as the source
by pointing to the .log
file’s correct path:
pipeline:
source:
file:
path: "/full/path/to/logs_json.log"
record_type: "event"
format: "json"
processor:
- list_to_map:
key: "name"
source: "mylist"
value_key: "value"
flatten: true
sink:
- stdout:
Run the pipeline. If successful, the processor returns the generated map with objects mapped according to their value_key
. Similar to the original source, which contains one line and therefore one event, the processor returns the following JSON as one line. For readability, the following example and all subsequent JSON examples have been adjusted to span multiple lines:
{
"mylist": [
{
"name": "a",
"value": "val-a"
},
{
"name": "b",
"value": "val-b1"
},
{
"name": "b",
"value": "val-b2"
},
{
"name": "c",
"value": "val-c"
}
],
"a": "val-a",
"b": "val-b1",
"c": "val-c"
}
Example: Maps set to target
The following example pipeline.yaml
file shows the list_to_map
processor when set to a specified target, mymap
:
pipeline:
source:
file:
path: "/full/path/to/logs_json.log"
record_type: "event"
format: "json"
processor:
- list_to_map:
key: "name"
source: "mylist"
target: "mymap"
value_key: "value"
flatten: true
sink:
- stdout:
The generated map appears under the target key:
{
"mylist": [
{
"name": "a",
"value": "val-a"
},
{
"name": "b",
"value": "val-b1"
},
{
"name": "b",
"value": "val-b2"
},
{
"name": "c",
"value": "val-c"
}
],
"mymap": {
"a": "val-a",
"b": "val-b1",
"c": "val-c"
}
}
Example: No value_key
specified
The follow example pipeline.yaml
file shows the list_to_map
processor with no value_key
specified. Because key
is set to name
, the processor extracts the object names to use as keys in the map.
pipeline:
source:
file:
path: "/full/path/to/logs_json.log"
record_type: "event"
format: "json"
processor:
- list_to_map:
key: "name"
source: "mylist"
flatten: true
sink:
- stdout:
The values from the generated map appear as original objects from the .log
source, as shown in the following example response:
{
"mylist": [
{
"name": "a",
"value": "val-a"
},
{
"name": "b",
"value": "val-b1"
},
{
"name": "b",
"value": "val-b2"
},
{
"name": "c",
"value": "val-c"
}
],
"a": {
"name": "a",
"value": "val-a"
},
"b": {
"name": "b",
"value": "val-b1"
},
"c": {
"name": "c",
"value": "val-c"
}
}
Example: flattened_element
set to last
The following example pipeline.yaml
file sets the flattened_element
to last, therefore flattening the processor output based on each value’s last element:
pipeline:
source:
file:
path: "/full/path/to/logs_json.log"
record_type: "event"
format: "json"
processor:
- list_to_map:
key: "name"
source: "mylist"
target: "mymap"
value_key: "value"
flatten: true
flattened_element: "last"
sink:
- stdout:
The processor maps object b
to value val-b2
because val-b2
is the last element in object b
, as shown in the following output:
{
"mylist": [
{
"name": "a",
"value": "val-a"
},
{
"name": "b",
"value": "val-b1"
},
{
"name": "b",
"value": "val-b2"
},
{
"name": "c",
"value": "val-c"
}
],
"a": "val-a",
"b": "val-b2",
"c": "val-c"
}
Example: flatten
set to false
The following example pipeline.yaml
file sets flatten
to false
, causing the processor to output values from the generated map as a list:
pipeline:
source:
file:
path: "/full/path/to/logs_json.log"
record_type: "event"
format: "json"
processor:
- list_to_map:
key: "name"
source: "mylist"
target: "mymap"
value_key: "value"
flatten: false
sink:
- stdout:
Some objects in the response may have more than one element in their values, as shown in the following response:
{
"mylist": [
{
"name": "a",
"value": "val-a"
},
{
"name": "b",
"value": "val-b1"
},
{
"name": "b",
"value": "val-b2"
},
{
"name": "c",
"value": "val-c"
}
],
"a": [
"val-a"
],
"b": [
"val-b1",
"val-b2"
],
"c": [
"val-c"
]
}