/7.1/time_series/Recent content in Time Series on Kinetica DocsHugo -- gohugo.ioen/7.1/time_series/date_bucket/Mon, 01 Jan 0001 00:00:00 +0000/7.1/time_series/date_bucket/Date bucketing is the segmenting of a given data set into "buckets", based on some date-based column value or expression within the set. DATE_BUCKET Date bucketing is accomplished through the use of the DATE_BUCKET function, which calculates the date range in which a given timestamp falls, based on a set of fixed-width "buckets", start-aligned to a date/time, and offset from that start date/time. The basic form of the DATE_BUCKET function is:/7.1/time_series/types/Mon, 01 Jan 0001 00:00:00 +0000/7.1/time_series/types/There are three categories of date/time data types supported in both SQL and natively via API: Date Time Timestamp Support for the timestamp type comes in two flavors, depending on whether the data being ingested into Kinetica is numeric (milliseconds since the Epoch) or string (date/time literal). Once ingested, both of these types and stored and processed in the same way. SQL Date/Time Column Types Data Type Bytes Minimum Value Maximum Value Format DATE 4 1000-01-01 2900-12-31 YYYY-[M]M-[D]D 1000-01-01 2900-12-31 DATETIME 8 1000-01-01 00:00:00./7.1/time_series/time_bucket/Mon, 01 Jan 0001 00:00:00 +0000/7.1/time_series/time_bucket/Time bucketing is the segmenting of a given data set into "buckets", based on some time-based column value or expression within the set. TIME_BUCKET Time bucketing is accomplished through the use of the TIME_BUCKET function, which calculates the time range in which a given timestamp falls, based on a set of fixed-width "buckets", start-aligned to a date/time, and offset from that start date/time. The basic form of the TIME_BUCKET function is: