I have json-formatted CloudWatch logs whose entries resemble this:
{
    "message": "resource_liked",
    "context": {
        "date": {
            "date": "2021-05-07 16:52:11.000000",
            "timezone_type": 3,
            "timezone": "UTC"
        },
    ...
I am trying to write a CloudWatch insights query to make a simple histogram: number of events in the log per hour.
However, I can't use the @timestamp attribute of the log entry. I need to use context.date.date in the entry's message body instead.
Writing this query using @timestamp is simple enough:
stats count(*) by datefloor(@timestamp, 1h)
However, I'm not sure how I can use the message's context.date.date instead.
I assume I need to format the dateimes that look like 2021-05-07 16:52:11.000000 into something that aws understands as a datetime, but I can't find how.
What I've tried so far
stats count(*) by datefloor(context.date.date, 1h) -> "Invalid Date"
stats count(*) by datefloor(toMillis(context.date.date), 1h) -> "Invalid Date"
stats count(*) by datefloor(substr(context.date.date, 0, 19), 1h) -> "Invalid Date"
stats count(*) by datefloor(concat(replace(substr(context.date.date, 0, 23), ' ', 'T'), '-00:00'), 1h) -> Invalid Date. This one makes the field look exactly like how @timestamp is displayed.