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The only example I found for inline datasource is in the querying datasource page, but it does not contain a time column https://druid.apache.org/docs/latest/querying/datasource.html#inline.
I tried to use __time name with a timestamp, millisecond precision timestamp, or ISO8601 but without luck, at least for no timeBoundary query.
__time
timeBoundary
{ "dataSource": { "columnNames": [ "__time", "val" ], "rows": [ [ 1556668800000, 123 ], [ 1559347200000, 456 ], [ 1561939200000, 789 ] ], "type": "inline" }, "queryType": "timeBoundary" }
Actual results
Expected results
The text was updated successfully, but these errors were encountered:
I have this workaround. This is not documented (docs for 24.0.2) but adding "intervals": ["0000/3000"] makes it work.
"intervals": ["0000/3000"]
{ "dataSource": { "columnNames": [ "__time", "val" ], "rows": [ [ 1556668800000, 123 ], [ 1559347200000, 456 ], [ 1561939200000, 789 ] ], "type": "inline" }, "queryType": "timeBoundary", "intervals": ["0000/3000"] }
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The only example I found for inline datasource is in the querying datasource page, but it does not contain a time column https://druid.apache.org/docs/latest/querying/datasource.html#inline.
I tried to use
__time
name with a timestamp, millisecond precision timestamp, or ISO8601 but without luck, at least for notimeBoundary
query.Actual results
Expected results
The text was updated successfully, but these errors were encountered: