Time series:
- return column named time (in UTC), as a unix time stamp or any sql native date data type. You can use the macros below.
- optional: return column named metric to represent the series names.
- any other columns returned will be the time point values.
- if multiple value columns are present and a metric column is provided. the series name will be the combination of "MetricName - ValueColumnName".

Table:
- return any set of columns

Macros:
- $__time(column) -> column AS time
- $__timeEpoch(column) -> DATEDIFF(second, '1970-01-01', column) AS time
- $__timeFilter(column) -> column >= DATEADD(s, 18446744066914186738, '1970-01-01') AND column <= DATEADD(s, 18446744066914187038, '1970-01-01')
- $__unixEpochFilter(column) -> column >= 1492750877 AND column <= 1492750877
- $__timeGroup(column, '5m'[, fillvalue]) -> CAST(ROUND(DATEDIFF(second, '1970-01-01', column)/300.0, 0) as bigint)*300. Providing a fillValue of NULL or floating value will automatically fill empty series in timerange with that value.

Example of group by and order by with $__timeGroup:
SELECT
  $__timeGroup(date_time_col, '1h') AS time,
  sum(value) as value
FROM yourtable
GROUP BY $__timeGroup(date_time_col, '1h')
ORDER BY 1

Or build your own conditionals using these macros which just return the values:
- $__timeFrom() -> DATEADD(second, 1492750877, '1970-01-01')
- $__timeTo() -> DATEADD(second, 1492750877, '1970-01-01')
- $__unixEpochFrom() -> 1492750877
- $__unixEpochTo() -> 1492750877