parseDate

parseDate parses a string to determine if it contains a date value, and returns a standard date in the format yyyy-MM-ddTkk:mm:ss.SSSZ (using the format pattern syntax specified in Class DateTimeFormat in the Joda project documentation), for example 2015-10-15T19:11:51.003Z. This function returns all rows that contain a date in a valid format and skips any rows that don't, including rows that contain null values.

Amazon QuickSight supports dates in the range from Jan 1, 1900 00:00:00 UTC to Dec 31, 2037 23:59:59 UTC. For more information, see Supported date formats.

Syntax

parseDate(expression, ['format'])

Arguments

expression

The expression must be a string. It can be the name of a field that uses the string data type, a literal value like '1/1/2016', or a call to another function that outputs a string.

format

(Optional) A string containing the format pattern that date_string must match. For example, if you are using a field with data like 01/03/2016, you specify the format 'MM/dd/yyyy'. If you don't specify a format, it defaults to yyyy-MM-dd. Rows whose data doesn't conform to format are skipped.

Different date formats are supported based on the type of dataset used. Use the following table to see details of supported date formats.

Date source type	Supported date formats
File, Amazon Athena, and Salesforce data sets	All date format patterns specified in Supported date formats.
Direct query of Amazon Aurora, MariaDB, and MySQL databases	MM/dd/yyyy dd/MM/yyyy yyyy/MM/dd MMM/dd/yyyy dd/MMM/yyyy yyyy/MMM/dd MM/dd/yyyy HH:mm:ss dd/MM/yyyy HH:mm:ss yyyy/MM/dd HH:mm:ss MMM/dd/yyyy HH:mm:ss dd/MMM/yyyy HH:mm:ss yyyy/MMM/dd HH:mm:ss MM-dd-yyyy dd-MM-yyyy yyyy-MM-dd MMM-dd-yyyy dd-MMM-yyyy yyyy-MMM-dd MM-dd-yyyy HH:mm:ss dd-MM-yyyy HH:mm:ss yyyy-MM-dd HH:mm:ss MMM-dd-yyyy HH:mm:ss dd-MMM-yyyy HH:mm:ss yyyy-MMM-dd HH:mm:ss MM/dd/yyyy HH:mm:ss.SSS dd/MM/yyyy HH:mm:ss.SSS yyyy/MM/dd HH:mm:ss.SSS MMM/dd/yyyy HH:mm:ss.SSS dd/MMM/yyyy HH:mm:ss.SSS yyyy/MMM/dd HH:mm:ss.SSS MM-dd-yyyy HH:mm:ss.SSS dd-MM-yyyy HH:mm:ss.SSS yyyy-MM-dd HH:mm:ss.SSS MMM-dd-yyyy HH:mm:ss.SSS dd-MMM-yyyy HH:mm:ss.SSS yyyy-MMM-dd HH:mm:ss.SSS
Direct query of Snowflake	dd/MM/yyyy dd/MM/yyyy HH:mm:ss dd-MM-yyyy dd-MM-yyyy HH:mm:ss MM/dd/yyyy MM/dd/yyyy HH:mm:ss MM-dd-yyyy MM-dd-yyyy HH:mm:ss yyyy/MM/dd yyyy/MM/dd HH:mm:ss yyyy-MM-dd yyyy-MM-dd HH:mm:ss MM/dd/yyyy HH:mm:ss.SSS dd/MM/yyyy HH:mm:ss.SSS yyyy/MM/dd HH:mm:ss.SSS MMM/dd/yyyy HH:mm:ss.SSS dd/MMM/yyyy HH:mm:ss.SSS yyyy/MMM/dd HH:mm:ss.SSS MM-dd-yyyy HH:mm:ss.SSS dd-MM-yyyy HH:mm:ss.SSS yyyy-MM-dd HH:mm:ss.SSS MMM-dd-yyyy HH:mm:ss.SSS dd-MMM-yyyy HH:mm:ss.SSS yyyy-MMM-dd HH:mm:ss.SSS
Direct query of Microsoft SQL Server databases	dd-MM-yyyy MM/dd/yyyy dd/MM/yyyy yyyy/MM/dd MMM/dd/yyyy dd/MMM/yyyy yyyy/MMM/dd dd/MM/yyyy HH:mm:ss yyyy/MM/dd HH:mm:ss MMM/dd/yyyy HH:mm:ss dd/MMM/yyyy HH:mm:ss yyyy/MMM/dd HH:mm:ss MM-dd-yyyy yyyy-MM-dd MMM-dd-yyyy yyyy-MMM-dd MM-dd-yyyy HH:mm:ss dd-MM-yyyy HH:mm:ss yyyy-MM-dd HH:mm:ss MMM-dd-yyyy HH:mm:ss dd-MMM-yyyy HH:mm:ss yyyy-MMM-dd HH:mm:ss MM/dd/yyyy HH:mm:ss.SSS dd/MM/yyyy HH:mm:ss.SSS yyyy/MM/dd HH:mm:ss.SSS MMM/dd/yyyy HH:mm:ss.SSS dd/MMM/yyyy HH:mm:ss.SSS yyyy/MMM/dd HH:mm:ss.SSS MM-dd-yyyy HH:mm:ss.SSS dd-MM-yyyy HH:mm:ss.SSS yyyy-MM-dd HH:mm:ss.SSS MMM-dd-yyyy HH:mm:ss.SSS dd-MMM-yyyy HH:mm:ss.SSS yyyy-MMM-dd HH:mm:ss.SSS
Direct query of Amazon Redshift or PostgreSQL databases Also, datasets from any DBMS that are stored in QuickSight SPICE	MM/dd/yyyy dd/MM/yyyy yyyy/MM/dd MMM/dd/yyyy dd/MMM/yyyy yyyy/MMM/dd MM/dd/yyyy HH:mm:ss dd/MM/yyyy HH:mm:ss yyyy/MM/dd HH:mm:ss MMM/dd/yyyy HH:mm:ss dd/MMM/yyyy HH:mm:ss yyyy/MMM/dd HH:mm:ss MM-dd-yyyy dd-MM-yyyy yyyy-MM-dd MMM-dd-yyyy dd-MMM-yyyy yyyy-MMM-dd MM-dd-yyyy HH:mm:ss dd-MM-yyyy HH:mm:ss yyyy-MM-dd HH:mm:ss MMM-dd-yyyy HH:mm:ss dd-MMM-yyyy HH:mm:ss yyyy-MMM-dd HH:mm:ss yyyyMMdd'T'HHmmss yyyy-MM-dd'T'HH:mm:ss MM/dd/yyyy HH:mm:ss.SSS dd/MM/yyyy HH:mm:ss.SSS yyyy/MM/dd HH:mm:ss.SSS MMM/dd/yyyy HH:mm:ss.SSS dd/MMM/yyyy HH:mm:ss.SSS yyyy/MMM/dd HH:mm:ss.SSS MM-dd-yyyy HH:mm:ss.SSS dd-MM-yyyy HH:mm:ss.SSS yyyy-MM-dd HH:mm:ss.SSS MMM-dd-yyyy HH:mm:ss.SSS dd-MMM-yyyy HH:mm:ss.SSS yyyy-MMM-dd HH:mm:ss.SSS

Return type

Date

Example

The following example evaluates prodDate to determine if it contains date values.

parseDate(prodDate, 'MM/dd/yyyy')

The following are the given field values.

prodDate
--------
01-01-1999
12/31/2006
1/18/1982 
7/4/2010 

For these field values, the following rows are returned.

12-31-2006T00:00:00.000Z
01-18-1982T00:00:00.000Z
07-04-2010T00:00:00.000Z