DATEADD Snowflake: Enhance Your Data Management Capabilities

You can analyze trends by identifying the direction in which your data values are moving. Date and time functions such as DATEADD, DATEDIFF, DATE_TRUNC, LAST_DAY, and more help you assess the data movement. These date/time functions shape how you interact with data. Snowflake offers a variety of date and time functions that are used to manipulate and compare data. It is also helpful in extracting information from a specific time period in a database.   

The DATEADD Snowflake function allows you to add or subtract intervals in a data time, returning a new data value as a result. It is a valuable function/tool that enables you to filter time-based data inside a Snowflake warehouse. Whether working with intervals, time zones, or timestamps, the date and time functions help you handle and interpret your data efficiently.

This article explains the date Snowflake function, its benefits, and considerations. It also covers some syntax parameters and practical use cases for date add Snowflake. 

What is the DATEADD Snowflake Function?

The Snowflake DATEADD function provides flexibility while handling dynamic date-related tasks. It simplifies the process of adding and subtracting time intervals in specific data and improves the accuracy of calculations. It streamlines your calculations while dealing with dynamic dates.

The DATEADD Snowflake function is useful when calculating a date or time before or after a particular date, comparing values between different time periods, and creating fixed intervals. 

The versatility of this function makes it easier for you to manage timelines and schedules and reduce the risk of manual errors. For example, if you want to manage an employee’s insurance coverage for one year, you can calculate the dates in Snowflake database using the DATEADD function. 

How Does the Snowflake DATEADD Function Work? 

The Snowflake DATEADD function allows you to add or subtract a date or time from a specific date, depending on what time frame you want to find. Let’s look at the syntax, parameters, and functionality of the DATEADD function.

The DATEADD Snowflake function has three main components in its syntax: 

DATEADD( <date_or_time_part>, <value>, <date_or_time_expr> )

• date_or_time_part: It specifies the units of time you want to add or subtract from a date. The units include year, month, day, hour, minute, and second. These units are case-sensitive, and you can also use singular and plural forms such as day or days. For instance, if you want to add three days to the data, this value will be ‘day.’
• value: This specifies the number of units of time you want to add or subtract from a date. It can be a negative or positive numeric value. For instance, considering the above example, the value for this will be ‘3’. If you want to subtract the units of date or time, the value will be ‘-3’.
• date_or_time_expr: It specifics the date, time, or the timestamp to which you are making changes. This can be a column name, a literal date, or a time value. For example, you are adding three days to 14 July 2023.

Use Cases of Date Add Snowflake

The Snowflake DATEADD function returns a value based on the specified input. Here are some practical examples to help you understand the DATEADD Snowflake function more deeply. 

Example 1: How to Add Days from a Specific Date

You can add or subtract date or time units from a specific date to calculate future or past dates. It is useful when scheduling a meeting, setting deadlines, or generating a report from the previous month. 

To calculate a date eight days after today, execute the following query:

SELECT DATEADD(DAY, 8, '2024-01-01') AS NewDate;

Here, ‘day’ is used as <date_or_time_part> ‘8’ is the <value> and ‘2024-01-01’ is <date_or_time_expr>. The query will add eight days to January 1, 2024. The value it will return is ‘2024-01-09’

Example 2: How to Subtract Hours from a Timestamp for a Specific Date

You can subtract hours/ minutes from a timestamp down to the millisecond precision on a certain date. The calculation can be helpful while setting up reminders or alerts for meetings or sending follow-up emails to customers with a response time of 24 hours.

To subtract 12 hours from a certain date, execute the following query:

SELECT DATEADD(HOUR, -12, '2023-03-15 08:45:32.123'::TIMESTAMP);

The above query will return the value of ‘2023-03-14 20:45:32.123’. The time has changed to 8:30 p.m. on 14 March, a day before.

Example 3: How to Create a Date or Time Interval for a Certain Time Period

You can create a time or date interval between a specific period using the appropriate time part, the generator, and between functions. Time intervals help analyze sales trends, perform a monthly maintenance check, or schedule a recurring task.

To generate a series of dates with weekly intervals, execute the following query:

SELECT DATEADD(week, seq4(), '2023-11-01'::date) AS week_date

  FROM TABLE(GENERATOR(ROWCOUNT => 10))

  WHERE week_date <= ‘2023-12-31’;

The above query will return a date with a weekly interval.

| week_date  |

|------------|

| 2023-11-01 |

| 2023-11-08 |

| 2023-11-15 |

| 2023-11-22 |

| 2023-11-29 |

| 2023-12-06 |

| 2023-12-13 |

| 2023-12-20 |

| 2023-12-27 |

When Should You Use Date Snowflake Function?

The Snowflake DATEADD function can be used in different scenarios. Here are some of the examples:

• Filter records from a specific time period to generate reports and retrieve the data you want, such as product sales for a particular month, website traffic, etc. 
• Comparing data from previous years helps you understand and identify patterns to stay ahead of the competition. The Snowflake DATEADD function allows you to implement time-based aggregation, subtracting years, months, or days from the current date.
• Schedule the allocation of resources, such as human resources, for a project starting next month. DATEADD function will help you add the time intervals from the start date to the assumed deadline.

Considerations While Using Date Add Snowflake Function 

There are several factors you should consider while using the DATEADD function.

• Time Zone: The DATEADD function performs calculations based on the user’s set time zone. The difference in zones can cause inconsistencies. 
• Daylight Savings: Sometimes, while applying intervals using DATEADD, they can cross daylight saving time transitions. This can cause issues while handling time-sensitive operations such as billing cycles or appointments. 
• Difficult to Reverse: It is difficult to reverse the adjustments made in existing records after applying the DATEADD function since prior dates have been overwritten.
• Data Overflow: Inputing a value in the data type that exceeds the numeric limit of that data/time integer capacity can lead to errors. For instance, adding 1 million days to date could result in an overflow situation, such as an incorrect output or causing a temporary halt in the operations.

Simplify Snowflake ELT and Analysis Using Hevo

The DATEADD function faces challenges related to time zone differences during data processing. Hevo is a real-time ELT platform that can handle different time zones while integrating data from source to destination. It streamlines your data ingestion process with automated, no-code, and flexible data pipelines by bringing in data from various sources from various time settings. 

Hevo not only helps you integrate your data but also transforms and cleans it, making your data analysis-ready. Once you set a connection with Snowflake in the data pipeline, you can easily extract data without writing code.

Benefits Using Hevo

• Data Transformation: Hevo offers Python-based and drag-drop transformations. These transformations understand the time difference between your source and destination. Therefore, they help you identify errors such as missing values and differences in date format. You can rectify these inconsistencies to get accurate results while performing DATEADD transformation after data ingestion is complete.
• Automated Data Mapping: The automated data mapping feature instinctively reads and maps the source’s data to the desired destination. For instance, if you have applied the DATEADD function to your Snowflake data to make time intervals, Hevo will read the changes and map them to the destination without any manual intervention.
• Incremental Data Loading: Incremental data loading allows you to upload modified data to your destination after implication without transferring the whole data set. The incremental load feature takes into account the time difference before and after DATEADD is applied to the Snowflake field/tables, helping reduce the time spent transferring data.

Limitations of Date Add Snowflake Function

• Implementing the time/date intervals using the DATEADD Snowflake function can get complicated at times, considering the non-uniformity in the length of months or years. Adding a date/time that does not match the expected time interval can lead to errors. For instance, adding 30 days to January 31 does not add up to February 31.
• The DATEADD Snowflake function is case-sensitive. A small error while manually typing in can give us no or wrong results. 
• When performing time-based adjustments, you must add other functions, such as TIMEADD or BETWEEN for intervals. It lacks support for direct manipulation of components for hours, minutes, and seconds.

Conclusion

The DATEADD Snowflake function helps with many things, allowing you to plan ahead and enhance your overall performance. It allows you to manipulate your date/time values by adjusting settings. You can also use the date add function to add or subtract values to the dates in Snowflakes. It helps you to check what took place last month or what events you can plan for the future. To integrate your updated values from the Snowflake data warehouse into your targeted system, you can use Hevo’s automated data pipeline.

FAQ on DATEADD Snowflake