Looker Studio Function: Looker Studio PARSE_DATETIME Complete Guide with Examples : Use case

Category: DATE function

The PARSE_DATETIME function in Looker Studio is used to convert text or string values that include both date and time into a valid DATETIME format based on the specified pattern.
This is especially helpful when working with imported datasets where timestamps are stored as text, preventing proper time-based calculations, ordering, or visualization.

Once converted, these values can be used effectively in time-series charts, hourly trend analysis, event tracking, and performance monitoring dashboards.

Purpose of the PARSE_DATETIME Function 

1. Convert text timestamps to real datetime format 

Makes textual timestamps usable in charts & calculations

2.Enable time-based filtering 

Allows filtering by hour, minute, second, etc.

3. Fix formatting issues 

Converts inconsistent timestamp formats into standard DATETIME

Why Use PARSE_DATETIME in Looker Studio?

Key Benefits & Use Cases

✔ Convert timestamps from logs, analytics tools or API exports
✔ Fix unrecognized date-time formats like "15-06-2025 14:20:50"
✔ Create hourly trend charts & live monitoring dashboards
✔ Enable real-time event tracking and processing
✔ Combine with UNIX_SECONDS, DATETIME_DIFF, DATE_TRUNC, etc.

				
					PARSE_DATETIME(format_string, text_datetime)

				
			
ParameterTypeDescription
format_string String Date-time pattern of the original string
text_datetime Text

How the PARSE_DATETIME Function Works?

PARSE_DATETIME reads the structure of a text-based timestamp and converts it into a valid DATETIME type, enabling sorting, aggregation, comparison, and visualization based on both date and time values.

When should use the PARSE_DATETIME Work?

Use this function when:

  • Your timestamps are in text format and not recognized as datetime

  • You need hour-level or minute-level segmentation

  • You are building real-time dashboards or log analysis reports

  • You import data from CSV, spreadsheets, APIs, CRM, ERP, or tracking systems

Examples of PARSE_DATETIME?

Example 1: Convert DD-MM-YYYY HH:MM:SS

PARSE_DATETIME("%d-%m-%Y %H:%M:%S", Timestamp_Text)

Input: 15-06-2025 14:45:30
Output: 2025-06-15 14:45:30

Example 2: Convert MM/DD/YYYY HH:MM Format

PARSE_DATETIME("%m/%d/%Y %H:%M", Event_Time)

Input: 06/21/2025 18:10
Output: 2025-06-21 18:10:00


Example 3: Convert YYYYMMDD HHMMSS string

PARSE_DATETIME("%Y%m%d %H%M%S", RawDateTime)

Input: 20250621 183000
Output: 2025-06-21 18:30:00

Tips & Best Practices

💡 Format must match exactly how the original text appears
💡 Convert numbers to text first using CAST if needed
💡 Validate spaces, punctuation, and separators
💡 Use DATETIME_TRUNC for hourly, daily, or weekly grouping
💡 Works for datetime values only—use PARSE_DATE for date-only stringss)

1. What is the PARSE_DATETIME function used for?

It converts text-based timestamps into valid DATETIME format for reporting and calculations.

2. Can PARSE_DATETIME be used for date-only values?

Yes, but PARSE_DATE is recommended for date-only conversions.

 

3. What if my timestamp is numeric or scientific notation?

Convert to text first using:

 
CAST(Field AS STRING)
4. Does PARSE_DATETIME support time zone conversion?

Not directly—combine with CONVERT_TZ() if needed.

5. Can I use PARSE_DATETIME in time-series charts?

Yes, it is necessary when timestamps appear as text.

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