The Movement That Sparked a Nation
Table of Contents
- 1. The Movement That Sparked a Nation
- 2. What are the key differences between `NULL` and empty strings (`”`) in SQL, and how should you handle them differently in your queries?
- 3. 1. Checking for NULL Values
- 4. 2. Checking for Empty Strings
- 5. 3. Combining Both Conditions
- 6. 4. handling NULL and Empty Strings Together
- 7. 5. Practical Considerations
Published at 14:34 GMT
After Donald Trump’s unexpected win in the 2016 presidential election against hillary Clinton, a wave of activism began to take shape.What started as a handful of scattered Facebook posts from women urging a protest quickly evolved into a nationwide movement within a matter of weeks.
By January 21, 2017, Washington, D.C., was flooded with hundreds of thousands of demonstrators. The crowd was nearly three times larger than the turnout for Trump’s inauguration just a day earlier. Across the United States,similar rallies were held in solidarity.
Participants carried signs criticizing Trump and proudly wore pink knitted “pussyhats”—a symbolic nod to the infamous Access Hollywood recording where Trump made controversial remarks about women. The atmosphere was electric, filled with passion and purpose.
“I had never seen anything this crowded,you could barely move,” recalled Sharon Baseman,a Democratic activist from Michigan who attended the 2017 march in D.C. “It was overwhelming and it was inspiring.”
In the years following, the Women’s March became synonymous with the opposition to Trump’s “Make America Great Again” agenda. It played a pivotal role in unifying the Democratic Party, ultimately contributing to the party’s triumphant bid to reclaim the White House in 2020.
However, as Trump secured another victory in november, the movement’s leaders now face the challenge of addressing its shortcomings and redefining its future. The journey ahead is uncertain, but the legacy of that historic march continues to inspire.
What are the key differences between `NULL` and empty strings (`”`) in SQL, and how should you handle them differently in your queries?
To find null or empty values in SQL, it’s important to understand the distinction between NULL
and an empty string (''
), as they represent different concepts in database management. Hear’s how you can identify and manage these values in your SQL queries:
1. Checking for NULL Values
NULL
represents the absence of data or an undefined value. To filter rows where a column has NULL
values, use the IS NULL
condition:
sql
SELECT
FROM yourtable
WHERE yourcolumn IS NULL;
2. Checking for Empty Strings
An empty string (''
) is a valid string with no characters. To find rows where a column contains an empty string, use the =
operator:
sql
SELECT
FROM yourtable
WHERE yourcolumn = '';
3. Combining Both Conditions
If you need to retrieve rows where a column is either NULL
or an empty string, you can combine both conditions using the OR
operator:
sql
SELECT
FROM yourtable
WHERE yourcolumn IS NULL OR yourcolumn = '';
4. handling NULL and Empty Strings Together
In some databases, you might want to treat NULL
and empty strings as the same. You can use the COALESCE
function to replace NULL
with an empty string and than check for empty strings:
sql
SELECT
FROM yourtable
WHERE COALESCE(your_column, '') = '';
5. Practical Considerations
- Data Integrity: Regularly check for
NULL
or empty values to maintain data quality and avoid issues in downstream processes. - Performance: Filtering for
NULL
or empty strings can be resource-intensive on large datasets, so ensure you have appropriate indexing. - Database-Specific Behavior: Some databases (e.g., Oracle) treat
NULL
and empty strings as equivalent, while others (e.g., MySQL) distinguish between them.
For more detailed examples and advanced techniques, you can refer to the extensive guide on Baeldung.
Let me know if you need further assistance!