- 23 Jul 2021
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- Updated on 23 Jul 2021
- 1 Minute to read
As your data travels from a data source into your Panoply database, it passes through Panoply’s Data Ingestion Engine. The Data Ingestion Engine is governed by various constraints and standards and several transformations are performed.
For example, you may have three data sources that each format dates differently. As data passes from those sources into your Panoply database, the Data Ingestion Engine standardizes the disparate formats into one consistent date format.
Data Ingestion Engine Specifications
The following sections explain how the Data Ingestion Engine handles destinations, dates, timestamps, and numbers.
Dates are saved in the format:
YYYY-MM-DDThh:mm:ss.sssZ. This is compliant with ISO-8601.
Panoply supports these date formats:
|ANSI C||Mon Jan _2 15:04:05 2006|
|Unix Date||Mon Jan _2 15:04:05 MST 2006|
|Ruby Date||Mon Jan 02 15:04:05 -0700 2006|
|RFC 1123||Mon, 02 Jan 2006 15:04:05 -0700|
|RFC 3339 (ISO 8601 profile)||2013-03-31T10:05:04.9385623+03:00|
|year/month/day||2013-03-28 10:05:00 +0000 UTC|
|Date without day||2014-04|
Timestamps are differentiated from dates by precision. Timestamps include an exact point in time with a microsecond precision regardless of location.
Panoply on Redshift supports both string and integer timestamps that are between 8 and 14 bytes. Longer or shorter timestamps are not considered applicable. Timestamp resolution is in seconds. The Data Ingestion Engine resolves
1432399705000 to the same UTC date of
Panoply on BigQuery supports 8 byte timestamps in the format:
YYYY-[M]M-[D]D[( \|T)[H]H:[M]M:[S]S[.DDDDDD]][time zone]
YYYY: Four-digit year
[M]M: One or two-digit month
[D]D: One or two-digit day
( \|T): Space or a
[H]H: One or two-digit hour (valid values from 00 to 23)
[M]M: One or two-digit minutes (valid values from 00 to 59)
[S]S: One or two-digit seconds (valid values from 00 to 59)
[.DDDDDD]: Up to six fractional digits (microsecond precision)
Panoply uses a double-precision floating-point format for numbers. This means the largest number Panoply can parse is 9,007,199,254,740,991.