step1) Get each day transaction of max amount
step2) Make a join of transaction table with above cte on date and amount
About Me
- Vikram Mahapatra (Viki)
- Mumbai, Maharastra, India
- He has more than 7.6 years of experience in the software development. He has spent most of the times in web/desktop application development. He has sound knowledge in various database concepts. You can reach him at viki.keshari@gmail.com https://www.linkedin.com/in/vikrammahapatra/ https://twitter.com/VikramMahapatra http://www.facebook.com/viki.keshari
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Saturday, January 1, 2022
SQL Query: Maximum Transaction Each Day
SQL Query: Banned Account Problem
QUESTION:
Table: LogInfo +-------------+----------+ | Column Name | Type | +-------------+----------+ | account_id | int | | ip_address | int | | login | datetime | | logout | datetime | +-------------+----------+ There is no primary key for this table, and it may contain duplicates. The table contains information about the login and logout dates of Leetflex accounts. It also contains the IP address from which the account logged in and out. It is guaranteed that the logout time is after the login time. Write an SQL query to find the account_id of the accounts that should be banned from Leetflex. An account should be banned if it was logged in at some moment from two different IP addresses. Return the result table in any order. The query result format is in the following example: LogInfo table: +------------+------------+---------------------+---------------------+ | account_id | ip_address | login | logout | +------------+------------+---------------------+---------------------+ | 1 | 1 | 2021-02-01 09:00:00 | 2021-02-01 09:30:00 | | 1 | 2 | 2021-02-01 08:00:00 | 2021-02-01 11:30:00 | | 2 | 6 | 2021-02-01 20:30:00 | 2021-02-01 22:00:00 | | 2 | 7 | 2021-02-02 20:30:00 | 2021-02-02 22:00:00 | | 3 | 9 | 2021-02-01 16:00:00 | 2021-02-01 16:59:59 | | 3 | 13 | 2021-02-01 17:00:00 | 2021-02-01 17:59:59 | | 4 | 10 | 2021-02-01 16:00:00 | 2021-02-01 17:00:00 | | 4 | 11 | 2021-02-01 17:00:00 | 2021-02-01 17:59:59 | +------------+------------+---------------------+---------------------+ Result table: +------------+ | account_id | +------------+ | 1 | | 4 | +------------+ Account ID 1 --> The account was active from "2021-02-01 09:00:00" to "2021-02-01 09:30:00" with two different IP addresses (1 and 2). It should be banned. Account ID 2 --> The account was active from two different addresses (6, 7) but in two different times. Account ID 3 --> The account was active from two different addresses (9, 13) on the same day but they do not intersect at any moment. Account ID 4 --> The account was active from "2021-02-01 17:00:00" to "2021-02-01 17:00:00" with two different IP addresses (10 and 11). It should be banned.
SOLUTION:
step1) create a self join with condition
l.account_id = l2.account_id
and l1.ip_address <> l2.ip_address- Step2)
Filter the data on the basis of
- l2.login <= l1.logout and l2.login >=l1.login
Friday, December 31, 2021
SQL Query: Biggest Window Between Visits
QUESTION:
Table: UserVisits +-------------+------+ | Column Name | Type | +-------------+------+ | user_id | int | | visit_date | date | +-------------+------+ This table does not have a primary key. This table contains logs of the dates that users vistied a certain retailer. Assume today's date is '2021-1-1'. Write an SQL query that will, for each user_id, find out the largest window of days between each visit and the one right after it (or today if you are considering the last visit). Return the result table ordered by user_id. The query result format is in the following example: UserVisits table: +---------+------------+ | user_id | visit_date | +---------+------------+ | 1 | 2020-11-28 | | 1 | 2020-10-20 | | 1 | 2020-12-3 | | 2 | 2020-10-5 | | 2 | 2020-12-9 | | 3 | 2020-11-11 | +---------+------------+ Result table: +---------+---------------+ | user_id | biggest_window| +---------+---------------+ | 1 | 39 | | 2 | 65 | | 3 | 51 | +---------+---------------+ For the first user, the windows in question are between dates: - 2020-10-20 and 2020-11-28 with a total of 39 days. - 2020-11-28 and 2020-12-3 with a total of 5 days. - 2020-12-3 and 2021-1-1 with a total of 29 days. Making the biggest window the one with 39 days. For the second user, the windows in question are between dates: - 2020-10-5 and 2020-12-9 with a total of 65 days. - 2020-12-9 and 2021-1-1 with a total of 23 days. Making the biggest window the one with 65 days. For the third user, the only window in question is between dates 2020-11-11 and 2021-1-1 with a total of 51 days.
Solution:
Step1) First Generate the row number over partition by user_id
Step2) Then implement lag lead to get the previous date visit
Step3) fin difference of latest date with prev date
step 4) get the max days diff on the basis of user_id
SQL Query: Second Degree Follower
QUESTION:
In facebook, there is a follow table with two columns: followee, follower. Please write a sql query to get the amount of each follower’s follower if he/she has one. For example: +-------------+------------+ | followee | follower | +-------------+------------+ | A | B | | B | C | | B | D | | D | E | +-------------+------------+ Should output: +-------------+------------+ | follower | num | +-------------+------------+ | B | 2 | | D | 1 | +-------------+------------+ Explanation: Both B and D exist in the follower list, when as a followee, B's follower is C and D, and D's follower is E. A does not exist in follower list. Note: Followee would not follow himself/herself in all cases. Please display the result in follower's alphabet order.
SOLUTION:
Step1) implement self join on follow table
Step2) join follower of left table to the followee of right table using inner join
Step3) group by left table follower id and take the count
select f.follower , count(fr.followee) as num from follow f
inner join follow fr
on f.follower = fr.followee
group by f.follower
SQL Query: Exchange Seats Problem
Mary is a teacher in a middle school and she has a table seat storing students' names and their corresponding seat ids.
The column id is continuous increment.
Mary wants to change seats for the adjacent students.
Can you write a SQL query to output the result for Mary?
+---------+---------+
| id | student |
+---------+---------+
| 1 | Abbot |
| 2 | Doris |
| 3 | Emerson |
| 4 | Green |
| 5 | Jeames |
+---------+---------+
For the sample input, the output is:
+---------+---------+
| id | student |
+---------+---------+
| 1 | Doris |
| 2 | Abbot |
| 3 | Green |
| 4 | Emerson |
| 5 | Jeames |
+---------+---------+
Note:
If the number of students is odd, there is no need to change the last one's seat.
Solution:
- Step1) We get the even id set of student
- Step2) we get the odd id set of student
- Step3) get the even id with odd student name
- step4) get the odd id with even student name
- step5) union and sort step3 and step4
;with even as
(select * from seat s1 where s1.id%2 = 0)
,odd as
(select * from seat s2 where s2.id%2 = 1)
,comb as
(
select e.id, COALESCE(o.student,e.student) as student
from even e left join odd o
on e.id = o.id +1
union all
select o.id, COALESCE(e.student,o.student) as student
from odd o left join even e
on o.id + 1 = e.id
)
select * from comb order by id asc
Tuesday, December 28, 2021
SQL Query: Count Student Number in Departments
A university uses 2 data tables, student and department, to store data about its students and the departments associated with each major.
Write a query to print the respective department name and number of students majoring in each department for all departments in the department table (even ones with no current students).
Sort your results by descending number of students; if two or more departments have the same number of students, then sort those departments alphabetically by department name.
The student is described as follow:
| Column Name | Type |
|--------------|-----------|
| student_id | Integer |
| student_name | String |
| gender | Character |
| dept_id | Integer |
where student_id is the student's ID number, student_name is the student's name, gender is their gender, and dept_id is the department ID associated with their declared major.
And the department table is described as below:
| Column Name | Type |
|-------------|---------|
| dept_id | Integer |
| dept_name | String |
where dept_id is the department's ID number and dept_name is the department name.
Here is an example input:
student table:
| student_id | student_name | gender | dept_id |
|------------|--------------|--------|---------|
| 1 | Jack | M | 1 |
| 2 | Jane | F | 1 |
| 3 | Mark | M | 2 |
department table:
| dept_id | dept_name |
|---------|-------------|
| 1 | Engineering |
| 2 | Science |
| 3 | Law |
The Output should be:
| dept_name | student_number |
|-------------|----------------|
| Engineering | 2 |
| Science | 1 |
| Law | 0 |
Solution:
select d.dept_name, count(s.dept_id) as dept_name from department d
left join student s
on d.dept_id = s.dept_id
group by d.dept_name
order by count(s.dept_id) desc
SQL Query: Winning Candidate
Table: Candidate
+-----+---------+ | id | Name | +-----+---------+ | 1 | A | | 2 | B | | 3 | C | | 4 | D | | 5 | E | +-----+---------+
Table: Vote
+-----+--------------+ | id | CandidateId | +-----+--------------+ | 1 | 2 | | 2 | 4 | | 3 | 3 | | 4 | 2 | | 5 | 5 | +-----+--------------+ id is the auto-increment primary key, CandidateId is the id appeared in Candidate table. Write a sql to find the name of the winning candidate, the above example will return the winner B. +------+ | Name | +------+ | B | +------+ Notes: You may assume there is no tie, in other words there will be only one winning candidate.
SQL Query: Rising Temperature Days
Table: Weather
+---------------+---------+ | Column Name | Type | +---------------+---------+ | id | int | | recordDate | date | | temperature | int | +---------------+---------+ id is the primary key for this table. This table contains information about the temperature in a certain day.
Write an SQL query to find all dates' id with higher temperature compared to its previous dates (yesterday).
Return the result table in any order. The query result format is in the following example: Weather +----+------------+-------------+ | id | recordDate | Temperature | +----+------------+-------------+ | 1 | 2015-01-01 | 10 | | 2 | 2015-01-02 | 25 | | 3 | 2015-01-03 | 20 | | 4 | 2015-01-04 | 30 | +----+------------+-------------+ Result table: +----+ | id | +----+ | 2 | | 4 |
Solution:
select distinct w2.id from Weather w1
inner join Weather w2
on w1.id + 1 = w2.id
where w1.Temperature < w2.Temperature
Sunday, December 26, 2021
LeetcodeSQL: 180. Consecutive Numbers [implementing Lag and Lead]
Table: Logs
+-------------+---------+ | Column Name | Type | +-------------+---------+ | id | int | | num | varchar | +-------------+---------+ id is the primary key for this table.
Write an SQL query to find all numbers that appear at least three times consecutively.
Return the result table in any order.
The query result format is in the following example.
Example 1:
Input: Logs table: +----+-----+ | id | num | +----+-----+ | 1 | 1 | | 2 | 1 | | 3 | 1 | | 4 | 2 | | 5 | 1 | | 6 | 2 | | 7 | 2 | +----+-----+ Output: +-----------------+ | ConsecutiveNums | +-----------------+ | 1 | +-----------------+ Explanation: 1 is the only number that appears consecutively for at least three times.
Solution:
select distinct l0.num as ConsecutiveNums
from Logs l0
inner join Logs l1 on l1.id - 1 = l0.id
inner join Logs l2 on l1.id + 1 = l2.id
where l0.num = l1.num and l1.num = l2.num
Misc SQL: Create monthly Allowance report and Fill Null against those month where emp has not received any allowances
Misc: Generate duplicate rows based on quantity - CTE
Thursday, December 23, 2021
176. Second Highest Salary
Table: Employee
+-------------+------+ | Column Name | Type | +-------------+------+ | id | int | | salary | int | +-------------+------+ id is the primary key column for this table. Each row of this table contains information about the salary of an employee.
Write an SQL query to report the second highest salary from the Employee
table. If there is no second highest salary, the query should report null
.
The query result format is in the following example.
Example 1:
Input: Employee table: +----+--------+ | id | salary | +----+--------+ | 1 | 100 | | 2 | 200 | | 3 | 300 | +----+--------+ Output: +---------------------+ | SecondHighestSalary | +---------------------+ | 200 | +---------------------+
Example 2:
Input: Employee table: +----+--------+ | id | salary | +----+--------+ | 1 | 100 | +----+--------+ Output: +---------------------+ | SecondHighestSalary | +---------------------+ | null | +---------------------+
Solution:
select salary as SecondHighestSalary from (
select salary, row_number() over (order by salary desc) as rno from Employee
) a
where a.rno = 2
175. Combine Two Tables
Table: Person
+-------------+---------+ | Column Name | Type | +-------------+---------+ | personId | int | | lastName | varchar | | firstName | varchar | +-------------+---------+ personId is the primary key column for this table. This table contains information about the ID of some persons and their first and last names.
Table: Address
+-------------+---------+ | Column Name | Type | +-------------+---------+ | addressId | int | | personId | int | | city | varchar | | state | varchar | +-------------+---------+ addressId is the primary key column for this table. Each row of this table contains information about the city and state of one person with ID = PersonId.
Write an SQL query to report the first name, last name, city, and state of each person in the Person
table. If the address of a personId
is not present in the Address
table, report null
instead.
Return the result table in any order.
The query result format is in the following example.
Example 1:
Input: Person table: +----------+----------+-----------+ | personId | lastName | firstName | +----------+----------+-----------+ | 1 | Wang | Allen | | 2 | Alice | Bob | +----------+----------+-----------+ Address table: +-----------+----------+---------------+------------+ | addressId | personId | city | state | +-----------+----------+---------------+------------+ | 1 | 2 | New York City | New York | | 2 | 3 | Leetcode | California | +-----------+----------+---------------+------------+ Output: +-----------+----------+---------------+----------+ | firstName | lastName | city | state | +-----------+----------+---------------+----------+ | Allen | Wang | Null | Null | | Bob | Alice | New York City | New York | +-----------+----------+---------------+----------+ Explanation: There is no address in the address table for the personId = 1 so we return null in their city and state. addressId = 1 contains information about the address of personId = 2.
Solution:
select p.firstname, p.lastname, a.city, a.state
from Person p left join Address a
on p.personid = a.personId
Sunday, June 7, 2020
Python Trick: Alternative to if-else/Case statement
print(a+b);
def multiply_number(a,b):
print(a*b)
def division_number(a,b):
print(a/b)
result = '30'
if result == '10':
add_number(10,20)
elif result == '20':
multiply_number(12,2)
elif result== '30':
division_number(36,3)
'10':add_number,
'20':multiply_number,
'30':division_number
}
result='10'
result_dict[result](1,2)
Post Reference: Vikram Aristocratic Elfin Share
Python Trick: Make your program look simple and clean, with the help of dictionary:
def __init__(self,name):
self.talents=[]
self.name=name
def add_talent(self,talent):
self.talents.append(talent)
dog_obj1 = Dog('Peddy')
dog_obj2 = Dog('Magnet')
dog_obj1.add_talent('Black Plet')
dog_obj1.add_talent('Fisher Dog')
dog_obj2.add_talent('Guard Dog')
dog_obj2.add_talent('Happy Eater')
print("Talent of Peddy")
print(dog_obj1.talents)
print("\nTalent of Magnet")
print(dog_obj1.talents)
obj_dict={
'Peddy':dog_obj1,
'Magnet':dog_obj2
}
# Accessing instance valriable of class
print(obj_dict['Peddy'].talents)
print(obj_dict['Magnet'].talents)
# To add new talent of Paddy, it would be qutie simple"
obj_dict['Peddy'].add_talent('Wolf mound')
#Printing talent of Peddy
print(obj_dict['Peddy'].talents)