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    Description

    SQL Genius is an online service that converts English text to SQL and explains SQL queries. It offers both free and paid plans and is accessible through its website.

    🔍💻
    explain sql queries
    ️📝
    convert text to sql

    Examples

    💻🔍

    Explain Sql Queries

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    AI Query preview
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    AI Query
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    #1
    inputs

    SELECT first_name, last_name, email

    FROM users

    WHERE age BETWEEN 25 AND 35

    ORDER BY last_name DESC

    LIMIT 10;

    outputs

    Plain English Explanation:

    TL;DR: This query gets the first name, last name, and email of 10 users age 25-35, ordered by last name in descending order.

    This query selects the first_name, last_name, and email fields from the users table, and filters the results on the condition that the age field is between 25 and 35. Then it orders the results by last_name in descending order, and limits the results to 10.

    Questions this query could help answer:

    -Which users are age 25-35?

    -What is the first name, last name, and email of the 10 youngest users between 25 and 35?

    -What is the email address of the user with the longest last name between 25 and 35?

    #2
    inputs

    SELECT CONCAT(first_name, ' ', last_name) AS full_name,

    LENGTH(CONCAT(first_name, ' ', last_name)) AS name_length

    FROM patients

    ORDER BY name_length DESC

    LIMIT 1;

    outputs

    Plain English Explanation:

    TL;DR: This query gets the longest full name from the patients table.

    The query concatenates the first_name and last_name fields in the patients table and creates a new field called full_name. It then creates a name_length field which is the length of the full_name field.

    The query then orders the results by name_length in descending order and limits the output to the first result.

    Questions this query could help answer:

    -Which patient has the longest full name?

    -What is the length of the longest full name in the patients table?

    📝🗄️

    Convert Text To Sql

    inputs

    doctor_id INTEGER

    first_name VARCHAR(30)

    last_name VARCHAR(30)

    specialty VARCHAR(25)

    patient_id INTEGER 

    first_name VARCHAR(30)

    last_name VARCHAR(30)

    gender CHAR(1)

    birth_date DATE

    city VARCHAR(30)

    province_id CHAR(2)

    allergies VARCHAR(80)

    height DECIMAL(3, 0)

    weight DECIMAL(4, 0)

    patient_id INT 

    admission_date DATE

    discharge_date DATE

    diagnosis VARCHAR(50)

    attending_doctor_id INT

    outputs

    --Semi-structured interpretation: Given all the doctors who have been the attending doctor for patients with bee allergies, return the 5 doctors with the most admissions

    --Output SQL Query:

    SELECT DISTINCT d.doctor_id, d.first_name, d.last_name, count(*) as num_patients

    FROM patients p

    JOIN admissions a ON p.patient_id = a.patient_id

    JOIN doctors d ON a.attending_doctor_id = d.doctor_id

    WHERE allergies LIKE '%bee%'

    GROUP BY d.doctor_id, d.first_name, d.last_name

    ORDER BY num_patients DESC

    LIMIT 5

    --Example rows

    --Doctor ID | First Name | Last Name | Number of Patients

    --------------------------------------------------------------

    -- 9102 | Allison | Rogers | 17

    -- 5561 | Jack | Bauer | 15

    -- 3344 | Chloe | O'Brian | 14