How to Extract Month and Year from a Date in BigQuery (2024)

BigQuery Extract Month and Year from Date

BigQuery is a powerful cloud data warehouse that allows you to analyze large amounts of data quickly and easily. One of the most common tasks you may need to perform is extracting the month and year from a date column. This can be done using the `EXTRACT` function.

The `EXTRACT` function takes a date expression as its first argument and a list of field names as its second argument. The field names correspond to the parts of the date that you want to extract. For example, to extract the month and year from a date column named `date`, you would use the following code:

SELECT EXTRACT(MONTH FROM date), EXTRACT(YEAR FROM date)
FROM my_table

This would return a table with two columns: `month` and `year`. The `month` column would contain the month numbers (1-12), and the `year` column would contain the year numbers (YYYY).

Extracting the month and year from a date is a simple task, but it can be very useful for performing date-based analysis. For example, you could use the `EXTRACT` function to group your data by month or year, or to filter your data for a specific month or year.

In this article, we will take a closer look at the `EXTRACT` function and show you how to use it to extract the month and year from a date in BigQuery. We will also provide some examples of how you can use the `EXTRACT` function to perform date-based analysis.

In this tutorial, you will learn how to use the BigQuery EXTRACT function to extract the month and year from a date. You will also learn how to use the EXTRACT function with both date and datetime values.

Overview of the BigQuery EXTRACT Function

The EXTRACT function extracts a specific part of a date or datetime value. The EXTRACT function can be used to extract the year, month, day, hour, minute, or second from a date or datetime value. The EXTRACT function can be used with both date and datetime values.

Syntax of the BigQuery EXTRACT Function

The syntax of the BigQuery EXTRACT function is as follows:

EXTRACT(part FROM date_value)

Where:

• `part` is the part of the date or datetime value that you want to extract.
• `date_value` is the date or datetime value from which you want to extract the part.

The `part` argument can be one of the following values:

• `year`
• `month`
• `day`
• `hour`
• `minute`
• `second`

Examples

The following examples show how to use the BigQuery EXTRACT function to extract the month and year from a date.

Example 1: Extract the month from a date

SELECT EXTRACT(MONTH FROM ‘2023-03-08’)

This query will return the value `3`.

Example 2: Extract the year from a date

SELECT EXTRACT(YEAR FROM ‘2023-03-08’)

This query will return the value `2023`.

Example 3: Extract the month and year from a date

SELECT EXTRACT(MONTH FROM ‘2023-03-08’), EXTRACT(YEAR FROM ‘2023-03-08’)

This query will return the values `3`, `2023`.

Using the EXTRACT Function with Datetime Values

The EXTRACT function can also be used with datetime values. In this case, the `part` argument can be one of the following values:

• `year`
• `month`
• `day`
• `hour`
• `minute`
• `second`
• `microsecond`

The following examples show how to use the BigQuery EXTRACT function to extract the month and year from a datetime value.

Example 1: Extract the month from a datetime value

SELECT EXTRACT(MONTH FROM ‘2023-03-08 10:00:00’)

This query will return the value `3`.

Example 2: Extract the year from a datetime value

SELECT EXTRACT(YEAR FROM ‘2023-03-08 10:00:00’)

This query will return the value `2023`.

Example 3: Extract the month and year from a datetime value

SELECT EXTRACT(MONTH FROM ‘2023-03-08 10:00:00’), EXTRACT(YEAR FROM ‘2023-03-08 10:00:00’)

This query will return the values `3`, `2023`.

In this tutorial, you learned how to use the BigQuery EXTRACT function to extract the month and year from a date. You also learned how to use the EXTRACT function with both date and datetime values.

I hope this tutorial was helpful. Please let me know if you have any questions.

Examples of Using the BigQuery EXTRACT Function

The BigQuery EXTRACT function can be used to extract parts of dates and datetime values. The following examples show how to use the EXTRACT function to extract the year, month, and day from a date value:

SELECT EXTRACT(YEAR FROM ‘2023-03-08’)

SELECT EXTRACT(MONTH FROM ‘2023-03-08’)

SELECT EXTRACT(DAY FROM ‘2023-03-08’)

The results of these queries would be:

2023

3

8

The EXTRACT function can also be used to extract parts of datetime values. The following example shows how to use the EXTRACT function to extract the hour, minute, and second from a datetime value:

SELECT EXTRACT(HOUR FROM ‘2023-03-08 10:00:00’)

SELECT EXTRACT(MINUTE FROM ‘2023-03-08 10:00:00’)

SELECT EXTRACT(SECOND FROM ‘2023-03-08 10:00:00’)

The results of these queries would be:

10

00

00

Tips for Using the BigQuery EXTRACT Function

The EXTRACT function can be used to extract parts of dates and datetime values in a variety of formats. The following tips can help you use the EXTRACT function effectively:

• The EXTRACT function can be used to extract parts of dates and datetime values in a variety of formats.
• The EXTRACT function can be used to perform date and time calculations.
• The EXTRACT function can be used to filter data based on date and time values.

Using the EXTRACT function to extract parts of dates and datetime values in a variety of formats

The EXTRACT function can be used to extract parts of dates and datetime values in a variety of formats. The following table shows the supported formats for the EXTRACT function:

| Format | Description |
|—|—|
| YEAR | The year of the date or datetime value. |
| MONTH | The month of the date or datetime value. |
| DAY | The day of the month of the date or datetime value. |
| HOUR | The hour of the day of the datetime value. |
| MINUTE | The minute of the hour of the datetime value. |
| SECOND | The second of the minute of the datetime value. |

For example, the following query uses the EXTRACT function to extract the year, month, and day from a date value:

SELECT EXTRACT(YEAR, ‘2023-03-08’) AS year,
EXTRACT(MONTH, ‘2023-03-08’) AS month,
EXTRACT(DAY, ‘2023-03-08’) AS day

The results of this query would be:

| year | month | day |
|—|—|—|
| 2023 | 3 | 8 |

Using the EXTRACT function to perform date and time calculations

The EXTRACT function can be used to perform date and time calculations. For example, the following query uses the EXTRACT function to calculate the number of days between two dates:

SELECT DATEDIFF(DATE ‘2023-03-08’, DATE ‘2023-03-07’) AS days_between

The results of this query would be:

| days_between |
|—|—|
| 1 |

Using the EXTRACT function to filter data based on date and time values

The EXTRACT function can be used to filter data based on date and time values. For example, the following query uses the EXTRACT function to filter a table of sales data by the month of the sale:

SELECT *
FROM sales_table
WHERE EXTRACT(MONTH, sale_date) = 3

The results of this query would be a table of sales data for the month of March.

The BigQuery EXTRACT function is a powerful tool that can

Q: How do I extract the month and year from a date in BigQuery?

A: To extract the month and year from a date in BigQuery, you can use the following functions:

• `EXTRACT(MONTH FROM date)` to extract the month from a date.
• `EXTRACT(YEAR FROM date)` to extract the year from a date.

For example, to extract the month and year from the date `2023-03-08`, you would use the following query:

sql
SELECT
EXTRACT(MONTH FROM date) AS month,
EXTRACT(YEAR FROM date) AS year
FROM
table_name
WHERE
date BETWEEN ‘2023-01-01’ AND ‘2023-12-31’

This query would return the following results:

| month | year |
|—|—|
| March | 2023 |

Q: What if my date is in a different format?

A: If your date is in a different format, you can use the `DATE_FORMAT()` function to convert it to the format that you need. For example, to convert the date `2023-03-08` to the format `MM/DD/YYYY`, you would use the following function:

sql
DATE_FORMAT(date, ‘MM/DD/YYYY’)

Q: How do I extract the month and year from a date in a different time zone?

A: To extract the month and year from a date in a different time zone, you can use the `DATE_TRUNC()` function with the `TIMEZONE()` function. For example, to extract the month and year from the date `2023-03-08` in the UTC time zone, you would use the following query:

sql
SELECT
EXTRACT(MONTH FROM DATE_TRUNC(date, ‘MONTH’, ‘UTC’)) AS month,
EXTRACT(YEAR FROM DATE_TRUNC(date, ‘MONTH’, ‘UTC’)) AS year
FROM
table_name
WHERE
date BETWEEN ‘2023-01-01’ AND ‘2023-12-31’

This query would return the following results:

| month | year |
|—|—|
| March | 2023 |

Q: How do I extract the month and year from a date column in a table?

A: To extract the month and year from a date column in a table, you can use the following query:

sql
SELECT
EXTRACT(MONTH FROM date) AS month,
EXTRACT(YEAR FROM date) AS year
FROM
table_name

This query would return a table with two columns: `month` and `year`. The `month` column would contain the month of each date in the `date` column, and the `year` column would contain the year of each date in the `date` column.

Q: How do I use the `EXTRACT()` function with other date functions?

A: You can use the `EXTRACT()` function with other date functions to extract specific parts of a date. For example, you can use the following query to extract the day of the week from a date:

sql
SELECT
EXTRACT(DAYOFWEEK FROM date) AS day_of_week
FROM
table_name

This query would return a table with one column: `day_of_week`. The `day_of_week` column would contain the day of the week for each date in the `date` column.

You can also use the `EXTRACT()` function with the `DATE_ADD()` function to add a number of days to a date. For example, the following query would add 10 days to the date `2023-03-08`:

sql
SELECT
DATE_ADD(date, 10) AS new_date
FROM
table_name
WHERE
date BETWEEN ‘2023-01-01’ AND ‘2023-12-31’

This query would return a table with one column: `new_date`. The `

In this blog post, we have discussed how to extract the month and year from a date in BigQuery. We have covered two methods: using the date_part() function and using the EXTRACT() function. We have also provided examples of how to use these functions to extract the month and year from different types of dates.

We hope that this blog post has been helpful. If you have any questions, please feel free to leave a comment below.