{
"traceId": "1cfab03028635ed64129d8d7f9b29318",
"spanId": "5363300a4b22ba13",
"name": "longtask",
"kind": 1,
"startTimeUnixNano": 1678876048253300000,
"endTimeUnixNano": 1678876050228300000,
"attributes": [
{
"key": "component",
"value": {
"stringValue": "long-task"
}
},
{
"key": "longtask.name",
"value": {
"stringValue": "self"
}
},
{
"key": "longtask.entry_type",
"value": {
"stringValue": "longtask"
}
},
{
"key": "longtask.duration",
"value": {
"intValue": 1975
}
},
{
"key": "longtask.attribution.name",
"value": {
"stringValue": "unknown"
}
},
{
"key": "longtask.attribution.entry_type",
"value": {
"stringValue": "taskattribution"
}
},
{
"key": "longtask.attribution.start_time",
"value": {
"intValue": 0
}
},
{
"key": "longtask.attribution.duration",
"value": {
"intValue": 0
}
},
{
"key": "longtask.attribution.container_type",
"value": {
"stringValue": "window"
}
},
{
"key": "longtask.attribution.container_src",
"value": {
"stringValue": ""
}
},
{
"key": "longtask.attribution.container_id",
"value": {
"stringValue": ""
}
},
{
"key": "longtask.attribution.container_name",
"value": {
"stringValue": ""
}
}
],
"droppedAttributesCount": 0,
"events": [],
"droppedEventsCount": 0,
"status": {
"code": 0
},
"links": [],
"droppedLinksCount": 0
}
Some of the out of the box front-end instrumentation is missing context data that may help in correctly detecting issues.
For example, the long-running task produces a span like the one below, that does help to identify the view that actually owns the task
Example Span
{ "traceId": "1cfab03028635ed64129d8d7f9b29318", "spanId": "5363300a4b22ba13", "name": "longtask", "kind": 1, "startTimeUnixNano": 1678876048253300000, "endTimeUnixNano": 1678876050228300000, "attributes": [ { "key": "component", "value": { "stringValue": "long-task" } }, { "key": "longtask.name", "value": { "stringValue": "self" } }, { "key": "longtask.entry_type", "value": { "stringValue": "longtask" } }, { "key": "longtask.duration", "value": { "intValue": 1975 } }, { "key": "longtask.attribution.name", "value": { "stringValue": "unknown" } }, { "key": "longtask.attribution.entry_type", "value": { "stringValue": "taskattribution" } }, { "key": "longtask.attribution.start_time", "value": { "intValue": 0 } }, { "key": "longtask.attribution.duration", "value": { "intValue": 0 } }, { "key": "longtask.attribution.container_type", "value": { "stringValue": "window" } }, { "key": "longtask.attribution.container_src", "value": { "stringValue": "" } }, { "key": "longtask.attribution.container_id", "value": { "stringValue": "" } }, { "key": "longtask.attribution.container_name", "value": { "stringValue": "" } } ], "droppedAttributesCount": 0, "events": [], "droppedEventsCount": 0, "status": { "code": 0 }, "links": [], "droppedLinksCount": 0 }When possible, we should try to add missing context attributes to the span to best identify the originator of the issues.
For example, long task instrumentation allows providing a callback to enrich the span