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API Pagination Techniques Explained ๐
When an API handles large datasets, poor pagination can quickly become a bottleneck
Four Common Pagination Methods
๐ธOffset-based pagination: Relies on limit and offset parameters to paginate. Limit specifies how many items to return and offset defines where to start in the dataset.
๐ธCursor-based pagination: Instead of relying on numerical offsets, the server generates a cursor to identify the starting point for the next page. Ideal for datasets where new entries are frequently added or removed.
๐ธKeyset-based pagination: Uses a stable key (e.g., ID, timestamp) to paginate efficiently in large datasets. This method bypasses row counting, improving speed and scalability.
๐ธPage-based pagination: Retrieves data using a page parameter (e.g., ?page=3) to specify which subset of data to return. Itโs simple and intuitive but less effective in datasets that change frequently.
How to Implement Pagination in Your API
๐นOffset-based Pagination: GET /items?limit=10&offset=20This request returns 10 items starting from the 21st record.
๐นCursor-based Pagination: GET /items?cursor=abc123The server provides a cursor like abc123 for the next page, allowing precise control over the data flow.
๐นKeyset-based Pagination: GET /items?after_id=100This request retrieves items where the ID is greater than 100, efficiently leveraging indexed fields.
๐นPage-based Pagination: GET /items?page=3Fetches the third page of results, with each page containing a predefined number of items.
Avoid These 3 Common Pagination Mistakes
โช๏ธNeglecting the last page: Ensure your API returns a clear response when users reach the final page of data.
โช๏ธFailing to account for real-time data: Use cursor-based or keyset-based pagination to avoid issues with missing or duplicated records in dynamic datasets.
โช๏ธIgnoring documentation: Clearly explain your pagination parameters (limit, offset, cursor, page) in your API documentation to avoid confusion.
Best Practices
โ Optimize database queries: Use indexes on fields you paginate (e.g., ID, timestamp).
โ Set a maximum page size: Protect your system by capping the number of items per page.
โ Validate pagination parameters: Ensure limit and offset values are valid to prevent errors.
โ Consistency across endpoints: Keep pagination formats uniform to maintain ease of use and prevent confusion.
Whatโs the biggest mistake youโve seen in API pagination?
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12 Concepts That Will Make You an Accountant ๐ค๐งฎ
After getting my masters in Accounting and becoming a CPA, the fundamentals of accounting ALWAYS come down to these 12 concepts.
21 Common HTTP Status Codes You Must Know:
๏ฟฝ๏ฟฝ 1๐ฑ๐ฑ - ๐๐ง๐๐จ๐ซ๐ฆ๐๐ญ๐ข๐จ๐ง ๐๐จ๐๐๐ฌ
Indicates that the request has been received and is being processed.
100 Continue - Request headers received; send the request body.
101 Switching Protocols - Server agrees to switch protocols.
103 Early Hints - Preloads resources to improve page load speed.
๏ฟฝ๏ฟฝ๏ฟฝ 2๐ฑ๐ฑ: ๐๐ฎ๐๐๐๐ฌ๐ฌ ๐๐จ๐๐๐ฌ
Indicates that the request is successfully processed.
200 OK - Request succeeded.
201 Created - Resource successfully created.
202 Accepted - Request accepted, processing pending.
204 No Content - Request successful, no content returned.
๐ฃ 3๐ฑ๐ฑ: ๐๐๐๐ข๐ซ๐๐๐ญ๐ข๐จ๐ง ๐๐จ๐๐๐ฌ
Indicates that further action is needed to complete the request.
301 Moved Permanently - Resource permanently relocated.
302 Found (Temporary Redirect) - Resource temporarily moved.
304 Not Modified - Cached version can be used.
๐ด 4๐ฑ๐ฑ: ๐๐ฅ๐ข๐๐ง๐ญ ๐๐ซ๐ซ๐จ๐ซ ๐๐จ๐๐๐ฌ
Indicates that something is wrong on the client side.
400 Bad Request - Invalid request syntax.
401 Unauthorized - Authentication required.
403 Forbidden - Access denied.
404 Not Found - Requested resource doesnโt exist.
405 Method Not Allowed - HTTP method is not supported.
408 Request Timeout - Request took too long.
429 Too Many Requests - Rate limit exceeded.
๐ 5๐ฑ๐ฑ: ๐๐๐ซ๐ฏ๐๐ซ ๐๐ซ๐ซ๐จ๐ซ ๐๐จ๐๐๐ฌ
Indicates that something went wrong on the server side.
500 Internal Server Error - Generic server failure.
502 Bad Gateway - Invalid upstream response.
503 Service Unavailable - Server overloaded or down.
504 Gateway Timeout - Upstream server timed out.
โป๏ธ Repost to help others in your network.
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CI/CD pipelines โ How do you optimize their performance?
The first step in optimizing any system is to analyze its processes and identify the bottlenecks and inefficiencies.
A common culprit and one of the most impactful factors for CI/CD pipeline performance is build times.
Whether it's local development or CI/CD pipelines, we've all experienced the pains of slow build times.
But there is a simple solution.
Optimize your build process with a caching tool.
Depot Cache is a tool that I've been very impressed with.
โ It caches and reuses build artifacts, saving time across local development and CI/CD pipelines.
โ Up to 1,000% faster builds
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โ Globally distributed caching ensures fast, consistent performance from anywhere
By eliminating redundant work, Depot Cache speeds up builds dramatically and reduces compute time in CI/CD environments.
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Another common cause of poor performance is the lack of parallelism. Identify processes running in sequence and determine if they can run in parallel.
The order of test execution also impacts performance. Balance early feedback with efficiency, and where possible, run only tests relevant to the changesโbut avoid overcomplicating your test suite.
Lastly, ensure your infrastructure can support the pipeline with adequate resources and scalability.
An optimized CI/CD pipeline is crucial for productivity, so invest time to ensure it runs smoothly and efficiently.
~~
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Why is Redis so ๐๐๐ฌ๐ญ?
The diagram below shows 3 main reasons:
1๏ธโฃ Redis is RAM-based. Access to RAM is at least 1000 times faster than access to random disks. Redis can be used as a cache to improve application responsiveness and reduce database load when used as a cache.
2๏ธโฃ Redis implements IO multiplexing and single-threaded execution.
3๏ธโฃ A number of efficient lower-level data structures are leveraged by Redis. By keeping these data structures in memory, serialization and deserialization costs are reduced.
SortedSet, for example, makes the implementation of leaderboards so simple and efficient. On the other hand, a bitmap can be used to aggregate month-over-month login statuses.
Over to you: What do you use Redis for in your projects?
โ
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