(psql)
Time series: - return column named time (UTC in seconds or timestamp) - return column(s) with numeric datatype as values Optional: - return column named metric to represent the series name. - If multiple value columns are returned the metric column is used as prefix. - If no column named metric is found the column name of the value column is used as series name Resultsets of time series queries need to be sorted by time. Table: - return any set of columns Macros: - $__time(column) -> column as "time" - $__timeEpoch -> extract(epoch from column) as "time" - $__timeFilter(column) -> column BETWEEN '2017-04-21T05:01:17Z' AND '2017-04-21T05:01:17Z' - $__unixEpochFilter(column) -> column >= 1492750877 AND column <= 1492750877 - $__unixEpochNanoFilter(column) -> column >= 1494410783152415214 AND column <= 1494497183142514872 - $__timeGroup(column,'5m'[, fillvalue]) -> (extract(epoch from column)/300)::bigint*300 by setting fillvalue grafana will fill in missing values according to the interval fillvalue can be either a literal value, NULL or previous; previous will fill in the previous seen value or NULL if none has been seen yet - $__timeGroupAlias(column,'5m') -> (extract(epoch from column)/300)::bigint*300 AS "time" - $__unixEpochGroup(column,'5m') -> floor(column/300)*300 - $__unixEpochGroupAlias(column,'5m') -> floor(column/300)*300 AS "time" Example of group by and order by with $__timeGroup: SELECT $__timeGroup(date_time_col, '1h'), sum(value) as value FROM yourtable GROUP BY time ORDER BY time Or build your own conditionals using these macros which just return the values: - $__timeFrom() -> '2017-04-21T05:01:17Z' - $__timeTo() -> '2017-04-21T05:01:17Z' - $__unixEpochFrom() -> 1492750877 - $__unixEpochTo() -> 1492750877 - $__unixEpochNanoFrom() -> 1494410783152415214 - $__unixEpochNanoTo() -> 1494497183142514872
Unknown error