This repository is dedicated to unsolved LeetCode SQL questions implemented in PySpark.
This notebook contains a collection of SQL-related challenges sourced from LeetCode. The primary goal is to enhance SQL skills while leveraging PySpark, a powerful framework for large-scale data processing.
For each question, you will find:
- A brief problem description
- The relevant dataset or schema context
- A step-by-step Unsolved implemented using PySpark DataFrames and SQL functions
Difficulty | Count |
---|---|
Easy | 111 |
Medium | 130 |
Hard | 60 |
Total | 301 |
All Unsolveds in this notebook are implemented using PySpark to ensure consistency with big data processing practices. The approach utilizes PySpark’s Python API, DataFrame API, and built-in functions to solve problems efficiently.
Disclaimer:
All questions and problem statements belong to LeetCode. This notebook is solely for educational purposes, and all credit and ownership of the questions remain with LeetCode. If you have any questions, please reach out to [email protected].
- Databricks Account:
- You need access to a Databricks account. Databricks provides a collaborative environment for big data analytics, including support for PySpark, which is crucial for running your Unsolveds.
- Basic Knowledge of PySpark:
- Familiarity with PySpark is essential. Users should understand how to write PySpark code to manipulate dataframes, perform transformations, and execute actions.
- SQL Knowledge:
- Basic knowledge of SQL is required to understand and write SQL queries within the PySpark framework. This includes understanding SQL syntax, querying databases, and manipulating data.
- GitHub Repository Access:
- Access to your GitHub repository containing unsolved LeetCode SQL questions. Users should be able to clone the repository, review the Unsolveds, and potentially contribute if allowed.
Databricks Premium is a paid plan that offers advanced features such as higher compute power, security options, and integrations.
- Go to Databricks website.
- Click "Start your free trial" (for a trial) or go to "Sign In" if you have an account.
- Choose "AWS", "Azure", or "GCP" as your cloud provider.
- Follow the registration process, providing details like your email, company, and cloud provider credentials.
- In the cloud provider console (AWS, Azure, or GCP), create a Databricks workspace.
- Select the Premium plan during setup.
- Configure networking and security settings as required.
- Once created, launch the workspace from the cloud console.
- Inside the Databricks workspace, go to Compute.
- Click Create Cluster.
- Choose a cluster name and select a runtime version (latest recommended).
- Select the number of workers (scale as needed).
- Click Create Cluster.
- Navigate to Workspace > Users > Your Name.
- Click Create > Notebook.
- Name the notebook and select Python as the language.
- Attach it to your running cluster.
Databricks Community Edition is a free, limited version ideal for learning PySpark.
- Go to Databricks Community Edition Signup.
- Enter your email and complete the registration.
- Check your email for the verification link and activate your account.
- Log in to your Databricks Community workspace.
- Click on Compute in the left panel.
- Click Create Cluster.
- Name your cluster.
- Choose the latest runtime version.
- Click Create Cluster (Community Edition supports only small clusters).
- Go to Workspace > Users > Your Name.
- Click Create > Notebook.
- Name the notebook and select Python.
- Attach it to the running cluster.
Feature | Databricks Premium | Databricks Community Edition |
---|---|---|
Price | Paid | Free |
Cloud Providers | AWS, Azure, GCP | Databricks Cloud |
Cluster Scaling | Scalable | Limited (Single Node) |
Security Features | Advanced | Basic |
Collaboration | Multi-user | Single-user |
-
Clone Your GitHub Repository:
- First, ensure you have Git installed on your local machine. If not, download and install it from Git's official website.
- Open your terminal (command prompt) and navigate to the directory where you want to clone your repository.
- Clone your GitHub repository using the command:
git clone <repository_url>
- Replace
<repository_url>
with the URL of your GitHub repository. This will download your repository to your local machine.
-
Install Required Dependencies:
- Make sure you have Python installed on your machine. It's recommended to use Anaconda or Miniconda to manage your Python environments.
- Install Jupyter Notebook and PySpark dependencies if you haven't already:
pip install jupyter pyspark
-
Launch Jupyter Notebook:
- Navigate to the directory where your Jupyter Notebook files are located. Typically, this would be the root directory of your cloned repository.
- Start Jupyter Notebook by running the command:
jupyter notebook
- This command will open a new tab in your web browser with the Jupyter Notebook interface.
-
Open and Run Your Notebook:
- In the Jupyter Notebook interface, navigate to the directory where your notebook file (
*.ipynb
) is located. - Click on the notebook file to open it.
- Once the notebook is open, you can run each cell by pressing
Shift + Enter
or using the "Run" button in the toolbar. - Ensure that Spark is correctly initialized and configured in your notebook. You may need to import necessary libraries and set up the Spark session if it's not done automatically.
- In the Jupyter Notebook interface, navigate to the directory where your notebook file (
-
Verify Spark Installation and Configuration:
- Check if Spark is installed and configured correctly by running a basic Spark operation in one of the notebook cells. For example:
from pyspark.sql import SparkSession # Initialize Spark session spark = SparkSession.builder \ .appName("MyApp") \ .getOrCreate() # Verify Spark session spark
- If Spark is configured correctly, you should see the Spark session information printed without any errors.
- Check if Spark is installed and configured correctly by running a basic Spark operation in one of the notebook cells. For example:
-
Execute and Test Your Notebook:
- Execute each cell in your notebook to ensure that all code runs as expected.
- Validate the results of the LeetCode SQL questions solutions to ensure correctness and functionality with PySpark.
-
Save Your Work:
- Once you have verified that everything is working correctly, save your notebook with any changes you have made.
- Environment Management: Consider using virtual environments or conda environments to manage dependencies and avoid conflicts between different projects.
- Documentation: It's helpful to include documentation within your notebook, such as explanations of the SQL solutions and any specific configurations required for Spark.
- Version Control: Regularly commit your changes to Git and push them to your GitHub repository to keep a versioned history of your work.
By following these steps, you should be able to successfully import and run your LeetCode SQL questions notebook using PySpark in Jupyter Notebook on your local machine.
Note:
The Databricks Community Edition will be more than adequate for this activity.
S.No | Questions | Difficulty | Unsolved | Solved |
---|---|---|---|---|
1 | 175. Combine Two Tables | Easy | … | … |
2 | 176. Second Highest Salary | Medium | … | … |
3 | 177. Nth Highest Salary | Medium | … | … |
4 | 178. Rank Scores | Medium | … | … |
5 | 180. Consecutive Numbers | Medium | … | … |
6 | 181. Employees Earning More Than Their Managers | Easy | … | … |
7 | 182. Duplicate Emails | Easy | … | … |
8 | 183. Customers Who Never Order | Easy | … | … |
9 | 184. Department Highest Salary | Medium | … | … |
10 | 185. Department Top Three Salaries | Hard | … | … |
11 | 196. Delete Duplicate Emails | Easy | … | … |
12 | 197. Rising Temperature | Easy | … | … |
13 | 262. Trips and Users | Hard | … | … |
14 | 511. Game Play Analysis I | Easy | … | … |
15 | 512. Game Play Analysis II | Easy | … | … |
16 | 534. Game Play Analysis III | Medium | … | … |
17 | 550. Game Play Analysis IV | Medium | … | … |
18 | 569. Median Employee Salary | Hard | … | … |
19 | 570. Managers with at Least 5 Direct Reports | Medium | … | … |
20 | 571. Find Median Given Frequency of Numbers | Hard | … | … |
21 | 574. Winning Candidate | Medium | … | … |
22 | 577. Employee Bonus | Easy | … | … |
23 | 578. Get Highest Answer Rate Question | Medium | … | … |
24 | 579. Find Cumulative Salary of an Employee | Hard | … | … |
25 | 580. Count Student Number in Departments | Medium | … | … |
26 | 584. Find Customer Referee | Easy | … | … |
27 | 585. Investments in 2016 | Medium | … | … |
28 | 586. Customer Placing the Largest Number of Orders | Easy | … | … |
29 | 595. Big Countries | Easy | … | … |
30 | 596. Classes More Than 5 Students | Easy | … | … |
31 | 597. Friend Requests I: Overall Acceptance Rate | Easy | … | … |
32 | 601. Human Traffic of Stadium | Hard | … | … |
33 | 602. Friend Requests II: Who Has the Most Friends | Medium | … | … |
34 | 603. Consecutive Available Seats | Easy | … | … |
35 | 607. Sales Person | Easy | … | … |
36 | 608. Tree Node | Medium | … | … |
37 | 610. Triangle Judgement | Easy | … | … |
38 | 612. Shortest Distance in a Plane | Medium | … | … |
39 | 613. Shortest Distance in a Line | Easy | … | … |
40 | 614. Second Degree Follower | Medium | … | … |
41 | 615. Average Salary: Departments VS Company | Hard | … | … |
42 | 618. Students Report By Geography | Hard | … | … |
43 | 619. Biggest Single Number | Easy | … | … |
44 | 620. Not Boring Movies | Easy | … | … |
45 | 626. Exchange Seats | Medium | … | … |
46 | 627. Swap Salary | Easy | … | … |
47 | 1045. Customers Who Bought All Products | Medium | … | … |
48 | 1050. Actors and Directors Who Cooperated At Least Three Times | Easy | … | … |
49 | 1068. Product Sales Analysis I | Easy | … | … |
50 | 1069. Product Sales Analysis II | Easy | … | … |
51 | 1070. Product Sales Analysis III | Medium | … | … |
52 | 1075. Project Employees I | Easy | … | … |
53 | 1076. Project Employees II | Easy | … | … |
54 | 1077. Project Employees III | Medium | … | … |
55 | 1082. Sales Analysis I | Easy | … | … |
56 | 1083. Sales Analysis II | Easy | … | … |
57 | 1084. Sales Analysis III | Easy | … | … |
58 | 1097. Game Play Analysis V | Hard | … | … |
59 | 1098. Unpopular Books | Medium | … | … |
60 | 1107. New Users Daily Count | Medium | … | … |
61 | 1112. Highest Grade For Each Student | Medium | … | … |
62 | 1113. Reported Posts | Easy | … | … |
63 | 1126. Active Businesses | Medium | … | … |
64 | 1127. User Purchase Platform | Hard | … | … |
65 | 1132. Reported Posts II | Medium | … | … |
66 | 1141. User Activity for the Past 30 Days I | Easy | … | … |
67 | 1142. User Activity for the Past 30 Days II | Easy | … | … |
68 | 1148. Article Views I | Easy | … | … |
69 | 1149. Article Views II | Medium | … | … |
70 | 1158. Market Analysis I | Medium | … | … |
71 | 1159. Market Analysis II | Hard | … | … |
72 | 1164. Product Price at a Given Date | Medium | … | … |
73 | 1173. Immediate Food Delivery I | Easy | … | … |
74 | 1174. Immediate Food Delivery II | Medium | … | … |
75 | 1179. Reformat Department Table | Easy | … | … |
76 | 1193. Monthly Transactions I | Medium | … | … |
77 | 1194. Tournament Winners | Hard | … | … |
78 | 1204. Last Person to Fit in the Bus | Medium | … | … |
79 | 1205. Monthly Transactions II | Medium | … | … |
80 | 1211. Queries Quality and Percentage | Easy | … | … |
81 | 1212. Team Scores in Football Tournament | Medium | … | … |
82 | 1225. Report Contiguous Dates | Hard | … | … |
83 | 1241. Number of Comments per Post | Easy | … | … |
84 | 1251. Average Selling Price | Easy | … | … |
85 | 1264. Page Recommendations | Medium | … | … |
86 | 1270. All People Report to the Given Manager | Medium | … | … |
87 | 1280. Students and Examinations | Easy | … | … |
88 | 1285. Find the Start and End Number of Continuous Ranges | Medium | … | … |
89 | 1294. Weather Type in Each Country | Easy | … | … |
90 | 1303. Find the Team Size | Easy | … | … |
91 | 1308. Running Total for Different Genders | Medium | … | … |
92 | 1321. Restaurant Growth | Medium | … | … |
93 | 1322. Ads Performance | Easy | … | … |
94 | 1327. List the Products Ordered in a Period | Easy | … | … |
95 | 1336. Number of Transactions per Visit | Hard | … | … |
96 | 1341. Movie Rating | Medium | … | … |
97 | 1350. Students With Invalid Departments | Easy | … | … |
98 | 1355. Activity Participants | Medium | … | … |
99 | 1364. Number of Trusted Contacts of a Customer | Medium | … | … |
100 | 1369. Get the Second Most Recent Activity | Hard | … | … |
101 | 1378. Replace Employee ID With The Unique Identifier | Easy | … | … |
102 | 1384. Total Sales Amount by Year | Hard | … | … |
103 | 1393. Capital Gain/Loss | Medium | … | … |
104 | 1398. Customers Who Bought Products A and B but Not C | Medium | … | … |
105 | 1407. Top Travellers | Easy | … | … |
106 | 1412. Find the Quiet Students in All Exams | Hard | … | … |
107 | 1421. NPV Queries | Easy | … | … |
108 | 1435. Create a Session Bar Chart | Easy | … | … |
109 | 1440. Evaluate Boolean Expression | Medium | … | … |
110 | 1445. Apples & Oranges | Medium | … | … |
111 | 1454. Active Users | Medium | … | … |
112 | 1459. Rectangles Area | Medium | … | … |
113 | 1468. Calculate Salaries | Medium | … | … |
114 | 1479. Sales by Day of the Week | Hard | … | … |
115 | 1484. Group Sold Products By The Date | Easy | … | … |
116 | 1495. Friendly Movies Streamed Last Month | Easy | … | … |
117 | 1501. Countries You Can Safely Invest In | Medium | … | … |
118 | 1511. Customer Order Frequency | Easy | … | … |
119 | 1517. Find Users With Valid E-Mails | Easy | … | … |
120 | 1527. Patients With a Condition | Easy | … | … |
121 | 1532. The Most Recent Three Orders | Medium | … | … |
122 | 1543. Fix Product Name Format | Easy | … | … |
123 | 1549. The Most Recent Orders for Each Product | Medium | … | … |
124 | 1555. Bank Account Summary | Medium | … | … |
125 | 1565. Unique Orders and Customers Per Month | Easy | … | … |
126 | 1571. Warehouse Manager | Easy | … | … |
127 | 1581. Customer Who Visited but Did Not Make Any Transactions | Easy | … | … |
128 | 1587. Bank Account Summary II | Easy | … | … |
129 | 1596. The Most Frequently Ordered Products for Each Customer | Medium | … | … |
130 | 1607. Sellers With No Sales | Easy | … | … |
131 | 1613. Find the Missing IDs | Medium | … | … |
132 | 1623. All Valid Triplets That Can Represent a Country | Easy | … | … |
133 | 1633. Percentage of Users Attended a Contest | Easy | … | … |
134 | 1635. Hopper Company Queries I | Hard | … | … |
135 | 1645. Hopper Company Queries II | Hard | … | … |
136 | 1651. Hopper Company Queries III | Hard | … | … |
137 | 1661. Average Time of Process per Machine | Easy | … | … |
138 | 1667. Fix Names in a Table | Easy | … | … |
139 | 1677. Product's Worth Over Invoices | Easy | … | … |
140 | 1683. Invalid Tweets | Easy | … | … |
141 | 1693. Daily Leads and Partners | Easy | … | … |
142 | 1699. Number of Calls Between Two Persons | Medium | … | … |
143 | 1709. Biggest Window Between Visits | Medium | … | … |
144 | 1715. Count Apples and Oranges | Medium | … | … |
145 | 1729. Find Followers Count | Easy | … | … |
146 | 1731. The Number of Employees Which Report to Each Employee | Easy | … | … |
147 | 1741. Find Total Time Spent by Each Employee | Easy | … | … |
148 | 1747. Leetflex Banned Accounts | Medium | … | … |
149 | 1757. Recyclable and Low Fat Products | Easy | … | … |
150 | 1767. Find the Subtasks That Did Not Execute | Hard | … | … |
151 | 1777. Product's Price for Each Store | Easy | … | … |
152 | 1783. Grand Slam Titles | Medium | … | … |
153 | 1789. Primary Department for Each Employee | Easy | … | … |
154 | 1795. Rearrange Products Table | Easy | … | … |
155 | 1809. Ad-Free Sessions | Easy | … | … |
156 | 1811. Find Interview Candidates | Medium | … | … |
157 | 1821. Find Customers With Positive Revenue this Year | Easy | … | … |
158 | 1831. Maximum Transaction Each Day | Medium | … | … |
159 | 1841. League Statistics | Medium | … | … |
160 | 1843. Suspicious Bank Accounts | Medium | … | … |
161 | 1853. Convert Date Format | Easy | … | … |
162 | 1867. Orders With Maximum Quantity Above Average | Medium | … | … |
163 | 1873. Calculate Special Bonus | Easy | … | … |
164 | 1875. Group Employees of the Same Salary | Medium | … | … |
165 | 1890. The Latest Login in 2020 | Easy | … | … |
166 | 1892. Page Recommendations II | Hard | … | … |
167 | 1907. Count Salary Categories | Medium | … | … |
168 | 1917. Leetcodify Friends Recommendations | Hard | … | … |
169 | 1919. Leetcodify Similar Friends | Hard | … | … |
170 | 1934. Confirmation Rate | Medium | … | … |
171 | 1939. Users That Actively Request Confirmation Messages | Easy | … | … |
172 | 1949. Strong Friendship | Medium | … | … |
173 | 1951. All the Pairs With the Maximum Number of Common Followers | Medium | … | … |
174 | 1965. Employees With Missing Information | Easy | … | … |
175 | 1972. First and Last Call On the Same Day | Hard | … | … |
176 | 1978. Employees Whose Manager Left the Company | Easy | … | … |
177 | 1988. Find Cutoff Score for Each School | Medium | … | … |
178 | 1990. Count the Number of Experiments | Medium | … | … |
179 | 2004. The Number of Seniors and Juniors to Join the Company | Hard | … | … |
180 | 2010. The Number of Seniors and Juniors to Join the Company II | Hard | … | … |
181 | 2020. Number of Accounts That Did Not Stream | Medium | … | … |
182 | 2026. Low-Quality Problems | Easy | … | … |
183 | 2041. Accepted Candidates From the Interviews | Medium | … | … |
184 | 2051. The Category of Each Member in the Store | Medium | … | … |
185 | 2066. Account Balance | Medium | … | … |
186 | 2072. The Winner University | Easy | … | … |
187 | 2082. The Number of Rich Customers | Easy | … | … |
188 | 2084. Drop Type 1 Orders for Customers With Type 0 Orders | Medium | … | … |
189 | 2112. The Airport With the Most Traffic | Medium | … | … |
190 | 2118. Build the Equation | Hard | … | … |
191 | 2142. The Number of Passengers in Each Bus I | Medium | … | … |
192 | 2153. The Number of Passengers in Each Bus II | Hard | … | … |
193 | 2159. Order Two Columns Independently | Medium | … | … |
194 | 2173. Longest Winning Streak | Hard | … | … |
195 | 2175. The Change in Global Rankings | Medium | … | … |
196 | 2199. Finding the Topic of Each Post | Hard | … | … |
197 | 2205. The Number of Users That Are Eligible for Discount | Easy | … | … |
198 | 2228. Users With Two Purchases Within Seven Days | Medium | … | … |
199 | 2230. The Users That Are Eligible for Discount | Easy | … | … |
200 | 2238. Number of Times a Driver Was a Passenger | Medium | … | … |
201 | 2252. Dynamic Pivoting of a Table | Hard | … | … |
202 | 2253. Dynamic Unpivoting of a Table | Hard | … | … |
203 | 2292. Products With Three or More Orders in Two Consecutive Years | Medium | … | … |
204 | 2298. Tasks Count in the Weekend | Medium | … | … |
205 | 2308. Arrange Table by Gender | Medium | … | … |
206 | 2314. The First Day of the Maximum Recorded Degree in Each City | Medium | … | … |
207 | 2324. Product Sales Analysis IV | Medium | … | … |
208 | 2329. Product Sales Analysis V | Easy | … | … |
209 | 2339. All the Matches of the League | Easy | … | … |
210 | 2346. Compute the Rank as a Percentage | Medium | … | … |
211 | 2356. Number of Unique Subjects Taught by Each Teacher | Easy | … | … |
212 | 2362. Generate the Invoice | Hard | … | … |
213 | 2372. Calculate the Influence of Each Salesperson | Medium | … | … |
214 | 2377. Sort the Olympic Table | Easy | … | … |
215 | 2388. Change Null Values in a Table to the Previous Value | Medium | … | … |
216 | 2394. Employees With Deductions | Medium | … | … |
217 | 2474. Customers With Strictly Increasing Purchases | Hard | … | … |
218 | 2480. Form a Chemical Bond | Easy | … | … |
219 | 2494. Merge Overlapping Events in the Same Hall | Hard | … | … |
220 | 2504. Concatenate the Name and the Profession | Easy | … | … |
221 | 2668. Find Latest Salaries | Easy | … | … |
222 | 2669. Count Artist Occurrences On Spotify Ranking List | Easy | … | … |
223 | 2686. Immediate Food Delivery III | Medium | … | … |
224 | 2687. Bikes Last Time Used | Easy | … | … |
225 | 2688. Find Active Users | Medium | … | … |
226 | 2701. Consecutive Transactions with Increasing Amounts | Hard | … | … |
227 | 2720. Popularity Percentage | Hard | … | … |
228 | 2738. Count Occurrences in Text | Medium | … | … |
229 | 2752. Customers with Maximum Number of Transactions on Consecutive Days | Hard | … | … |
230 | 2783. Flight Occupancy and Waitlist Analysis | Medium | … | … |
231 | 2837. Total Traveled Distance | Easy | … | … |
232 | 2853. Highest Salaries Difference | Easy | … | … |
233 | 2854. Rolling Average Steps | Medium | … | … |
234 | 2893. Calculate Orders Within Each Interval | Medium | … | … |
235 | 2922. Market Analysis III | Medium | … | … |
236 | 2978. Symmetric Coordinates | Medium | … | … |
237 | 2984. Find Peak Calling Hours for Each City | Medium | … | … |
238 | 2985. Calculate Compressed Mean | Easy | … | … |
239 | 2986. Find Third Transaction | Medium | … | … |
240 | 2987. Find Expensive Cities | Easy | … | … |
241 | 2988. Manager of the Largest Department | Medium | … | … |
242 | 2989. Class Performance | Medium | … | … |
243 | 2990. Loan Types | Easy | … | … |
244 | 2991. Top Three Wineries | Hard | … | … |
245 | 2993. Friday Purchases I | Medium | … | … |
246 | 2994. Friday Purchases II | Hard | … | … |
247 | 2995. Viewers Turned Streamers | Hard | … | … |
248 | 3050. Pizza Toppings Cost Analysis | Medium | … | … |
249 | 3051. Find Candidates for Data Scientist Position | Easy | … | … |
250 | 3052. Maximize Items | Hard | … | … |
251 | 3053. Classifying Triangles by Lengths | Easy | … | … |
252 | 3054. Binary Tree Nodes | Medium | … | … |
253 | 3055. Top Percentile Fraud | Medium | … | … |
254 | 3056. Snaps Analysis | Medium | … | … |
255 | 3057. Employees Project Allocation | Hard | … | … |
256 | 3058. Friends With No Mutual Friends | Medium | … | … |
257 | 3059. Find All Unique Email Domains | Easy | … | … |
258 | 3060. User Activities within Time Bounds | Hard | … | … |
259 | 3061. Calculate Trapping Rain Water | Hard | … | … |
260 | 3087. Find Trending Hashtags | Medium | … | … |
261 | 3089. Find Bursty Behavior | Medium | … | … |
262 | 3103. Find Trending Hashtags II | Hard | … | … |
263 | 3118. Friday Purchase III | Medium | … | … |
264 | 3124. Find Longest Calls | Medium | … | … |
265 | 3126. Server Utilization Time | Medium | … | … |
266 | 3140. Consecutive Available Seats II | Medium | … | … |
267 | 3150. Invalid Tweets II | Easy | … | … |
268 | 3156. Employee Task Duration and Concurrent Tasks | Hard | … | … |
269 | 3166. Calculate Parking Fees and Duration | Medium | … | … |
270 | 3172. Second Day Verification | Easy | … | … |
271 | 3182. Find Top Scoring Students | Medium | … | … |
272 | 3188. Find Top Scoring Students II | Hard | … | … |
273 | 3198. Find Cities in Each State | Easy | … | … |
274 | 3204. Bitwise User Permissions Analysis | Medium | … | … |
275 | 3214. Year on Year Growth Rate | Hard | … | … |
276 | 3220. Odd and Even Transactions | Medium | … | … |
277 | 3230. Customer Purchasing Behavior Analysis | Medium | … | … |
278 | 3236. CEO Subordinate Hierarchy | Hard | … | … |
279 | 3246. Premier League Table Ranking | Easy | … | … |
280 | 3252. Premier League Table Ranking II | Medium | … | … |
281 | 3262. Find Overlapping Shifts | Medium | … | … |
282 | 3268. Find Overlapping Shifts II | Hard | … | … |
283 | 3278. Find Candidates for Data Scientist Position II | Medium | … | … |
284 | 3293. Calculate Product Final Price | Medium | … | … |
285 | 3308. Find Top Performing Driver | Medium | … | … |
286 | 3322. Premier League Table Ranking III | Medium | … | … |
287 | 3328. Find Cities in Each State II | Medium | … | … |
288 | 3338. Second Highest Salary II | Medium | … | … |
289 | 3358. Books with NULL Ratings | Easy | … | … |
290 | 3368. First Letter Capitalization | Hard | … | … |
291 | 3374. First Letter Capitalization II | Hard | … | … |
292 | 3384. Team Dominance by Pass Success | Hard | … | … |
293 | 3390. Longest Team Pass Streak | Hard | … | … |
294 | 3401. Find Circular Gift Exchange Chains | Hard | … | … |
295 | 3415. Find Products with Three Consecutive Digits | Easy | … | … |
296 | 3421. Find Students Who Improved | Medium | … | … |
297 | 3436. Find Valid Emails | Easy | … | … |
298 | 3451. Find Invalid IP Addresses | Hard | … | … |
299 | 3465. Find Products with Valid Serial Numbers | Easy | … | … |
300 | 3475. DNA Pattern Recognition | Medium | … | … |
301 | 3482. Analyze Organization Hierarchy | Hard | … | … |
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We've created this GitHub repository to help the community solve LeetCode SQL questions using PySpark. If you find this project helpful, please consider giving it a star ⭐ and sharing it with other learners who might benefit from it!
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🔗 LeetCode SQL Questions-(PySpark Unsolved)
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