Sure, here is the SQL query to find how many bugs were created on 2019-03-01 or later:

```sql
SELECT COUNT(*) AS count
FROM bugs
WHERE created_at = '2019-03-01';
```

This query works as follows:

1. `SELECT COUNT(*) AS count`: This part of the query is used to count the number of rows returned by the query. The `AS count` part is used to name the output column as `count`.

2. `FROM bugs`: This part of the query specifies the table we are querying, which is the `bugs` table.

3. `WHERE created_at = '2019-03-01'`: This is the condition that the rows must meet to be included in the count. It only includes the rows where the `created_at` date is on or after '2019-03-01'.

Question

Sure, here is the SQL query to find how many bugs were created on 2019-03-01 or later:

```sql
SELECT COUNT(*) AS count
FROM bugs
WHERE created_at >= '2019-03-01';
```

This query works as follows:

1. `SELECT COUNT(*) AS count`: This part of the query is used to count the number of rows returned by the query. The `AS count` part is used to name the output column as `count`.

2. `FROM bugs`: This part of the query specifies the table we are querying, which is the `bugs` table.

3. `WHERE created_at >= '2019-03-01'`: This is the condition that the rows must meet to be included in the count. It only includes the rows where the `created_at` date is on or after '2019-03-01'.

Knowee AI · Accepted Answer

Sure, here is the SQL query to find how many bugs were created on 2019-03-01 or later:

```sql
SELECT COUNT(*) AS count
FROM bugs
WHERE created_at >= '2019-03-01';
```

This query works as follows:

1. `SELECT COUNT(*) AS count`: This part of the query is used to count the number of rows returned by the query. The `AS count` part is used to name the output column as `count`.

2. `FROM bugs`: This part of the query specifies the table we are querying, which is the `bugs` table.

3. `WHERE created_at >= '2019-03-01'`: This is the condition that the rows must meet to be included in the count. It only includes the rows where the `created_at` date is on or after '2019-03-01'.

Given a table bugs(id, token, title, category, device, reported_at, created_at, updated_at), find how many bugs were created on 2019-03-01 or later. Your query should output a table with the following columns (count).

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