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Graph/input-stream-consumption-in-conditions

AntiPattern

Stream Consumption in Loops

input-stream-consumption-in-conditions

scanner.nextLine() is consumed inside the loop condition, so the act of checking advances the cursor and discards data; the parser then skips lines and builds incomplete recipe/ingredient lists.

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Updated5/5/2026

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MATCHESSolution

just don't do it. — while still being able to show an accurate unread counter. Tension: avoid updating many rows on every new message. Outcome: Save a bookmark where they left off and count whatever appeared after that.

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Disable auto pipelining and try running the commands one by one — when the auto pipelining is enabled, the code samples you provided are practically equivalent. Tension: This code is far from ideal as it will result in several requests but can help you debug the error. Outcome: This code is far from ideal as it will result in several requests but can help you debug the error.

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single worker running async loop. Outcome: So you have a single worker running async loop and you block that loop.

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python interpreter just pauses one task and looks at other — In your scenerio where you use asynchronous. Tension: it is not completly usesless. Outcome: Think it like a round-robin.

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steps.snyk_scan.outputs.stdout — My sample YAML File. Tension: I am trying to fetch a variable from the previous step and use it further. Outcome: Extract Snyk URL.

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the lint step, it is being skipped — when I am passing the list of files to the lint step. Tension: it is being skipped. Outcome: You can pass the list to any linter directly without any complex logic.

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Consider using some kind of rate limiter — When downloading locally, it takes effort to generate those 5000 reads. Tension: You are limited to 5000 reads/second down a single s3 partitions. Outcome: to hold back the reads below the threshold.

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Use smaller scopes where it improves correctness (e.g., declare loop counters inside the loop, such as `for(int i = 0; ...)`), and rely on the compiler/JIT for resource efficiency; avoid broader scopes to reduce the chance of stale or invalid variable usage.

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Outcome: it doesn't get broken into multiple lines.

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You have to change your class to extend `ElementScanner14`. Outcome: which will handle all source files from 14 to at least 25.

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Override `ObjectInputStream::readClassDescriptor` — read the stream using the first package. Tension: When that fails with the error message above I read the stream again changing the package / class name inside of readClassDescriptor().

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You need to get the part and then read its input stream. — Try the following:. Outcome: for (Part part : request.getParts()) { if (part.getInputStream().available() > 0) {.

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If you don't care about the bytes read and just want the digest. Outcome: byte[] buffer = new byte[2048]; while (digestInputStream.read(buffer) >= 0);.

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You might need a custom reader for that. — before every file is read. Outcome: That is not possible.

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producer-consumer design to process a list of objects. Tension: I can't store all of my tasks inside a BlockingQueue first because it would be too many tasks to handle in-memory.

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On the other hand, using `buffer()` is good — using `.collectList()` will load the entire file content in memory before processing. Tension: defeating your purpose of saving memory. Outcome: using `buffer()` is good.

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If you want to avoid that then you need a way to separate that initial line and capture its contents — The main issue to overcome here is that you are treating the first line of your CSV specially. Tension: its contents inform the processing of all the other lines. Outcome: here is where `filter()` comes in, and the fact that lambdas close over their context.

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q.add(...) and q.poll() may alternate. — In your given code. Tension: there is no control over who poll() first to take out the head of the queue. Outcome: q.add(...) and q.poll() may alternate.

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return upcast(result.iterator()); — public Iterator list(String keyword) {. Outcome: @SuppressWarnings("unchecked").

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Cast to raw Iterator if you accept unchecked warnings

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the solution shown below — exceeding the SQL parameter limit. Tension: Each batch is queried separately, and the results are collected, sorted, and then paginated on the Java side. Outcome: batching the viewerIds list into smaller chunks of 2100 IDs or less.

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You could save a lot of typing and use built-in calls of BufferedReader to retrieve a list or array of String — If really wanting ArrayList use a different `return`. Outcome: return reader.lines().collect(Collectors.toCollection(ArrayList::new));.

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You can use `System.out.flush()` before `scanner.nextInt();` to ensure that the output is immediately written to the console — another alternative is to use `System.out.println` Instead of `System.out.print`. Tension: output isn't necessarily displayed immediately. Outcome: This can lead to a situation where the program appears to pause while waiting for input.

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the intermediate operation, peek, does not inject into or remove elements from the stream. Tension: no need to execute the pipeline and, as a side-effect, print out the list elements. Outcome: Behavioral parameters with side-effects, which are strongly discouraged except for harmless cases such as debugging, may be affected.

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Use an explicit loop or IntStream over the filtered list, keep track of previous and current elements, and create a new SystemAuditHelper when values change

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It is also recommended to declare the local variables in the loop. — while (scanner.hasNextLine()). Tension: As already mentioned in the comments by using `while (!(scanner.nextLine().isEmpty()))` you are consuming the next line without storing it no where. Outcome: List ingredients = new ArrayList<>(); String ingredient = scanner.nextLine(); while (!ingredient.isEmpty() && scanner.hasNextLine()) { ingredients.add(ingredient); ingredient = scanner.nextLine(); }.

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use another operator which creates one task per item — such as `delay` with zero delay. Tension: to get a better interleaving. Outcome: subject1.delay(0, TimeUnit.MILLISECONDS, scheduler).subscribe(log::info);.

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Add state check before XInclude expansion at line 1445 — at line 1445. Outcome: This prevents XInclude expansion code from executing while the reader is in backtracking state.

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Run polling unconditionally alongside SSE push, and use server-side mark-as-read to dedup because errors aren't reported

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Move the Layer 1-3 scanner into an internal scanner module and re-export it from the package entrypoint. — Add a package-level scalar write helper. Tension: selectively invokes synchronous Layer 4 only when sync findings or a deferred-scan predicate require it, queues only sanitized text for async review. Outcome: returns write-ready sanitized content plus redaction metadata for the caller's transaction.

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