# multi-swe-bench / elastic__logstash14058 - taskset: [multi-swe-bench](https://harnessreport.com/tasks/multi-swe-bench.md) - difficulty: hard - category: software-development - language: - runnable from the site: no - agent timeout: 14400s ## Results by harness _none yet_ ## Instruction ``` <uploaded_files> /workspace/logstash </uploaded_files> I've uploaded a Java code repository in the directory /workspace/logstash. Consider the following issue description: <issue_description> # Adds DLQ drop counter and last error metrics into management API <!-- Type of change Please label this PR with the release version and one of the following labels, depending on the scope of your change: - bug - enhancement - breaking change - doc --> ## Release notes <!-- Add content to appear in [Release Notes](https://www.elastic.co/guide/en/logstash/current/releasenotes.html), or add [rn:skip] to leave this PR out of release notes --> Exposes the counter of events dropped from the DLQ, and the last error reason. ## What does this PR do? <!-- Mandatory Explain here the changes you made on the PR. Please explain the WHAT: patterns used, algorithms implemented, design architecture, message processing, etc. Example: Expose 'xpack.monitoring.elasticsearch.proxy' in the docker environment variables and update logstash.yml to surface this config option. This commit exposes the 'xpack.monitoring.elasticsearch.proxy' variable in the docker by adding it in env2yaml.go, which translates from being an environment variable to a proper yaml config. Additionally, this PR exposes this setting for both xpack monitoring & management to the logstash.yml file. --> Adds some metrics to the dead_letter_queue part of the monitoring endpoint `_node/stats/pipelines/`, precisely under the path `pipelines.<pipeline name>.dead_letter_queue`. The metrics added are: - `dropped_events`: count the number of dropped events caused by "queue full condition", when `drop_newer` storage policy is enabled, happened to this DLQ since the last restart of Logstash process. - `last_error`: a string reporting the last error registered for DLQ dropping condition. - `max_queue_size`: like for PQ it's the maximum size that the DLQ can reach. ## Why is it important/What is the impact to the user? <!-- Mandatory Explain here the WHY or the IMPACT to the user, or the rationale/motivation for the changes. Example: This PR fixes an issue that was preventing the docker image from using the proxy setting when sending xpack monitoring information. and/or This PR now allows the user to define the xpack monitoring proxy setting in the docker container. --> The user can monitor the size of the DLQ, the counter of dropped events and the last error message string. ## Checklist <!-- Mandatory Add a checklist of things that are required to be reviewed in order to have the PR approved List here all the items you have verified BEFORE sending this PR. Please DO NOT remove any item, striking through those that do not apply. (Just in case, strikethrough uses two tildes. ~~Scratch this.~~) --> - [x] My code follows the style guidelines of this project - [x] I have commented my code, particularly in hard-to-understand areas - ~~[ ] I have made corresponding changes to the documentation~~ - ~~[ ] I have made corresponding change to the default configuration files (and/or docker env variables)~~ - [x] I have added tests that prove my fix is effective or that my feature works ## Author's Checklist <!-- Recommended Add a checklist of things that are required to be reviewed in order to have the PR approved --> - [x] Run a DLQ Logstash pipeline against an always rejecting ES and check with HTTP API the data. ## How to test this PR locally <!-- Recommended Explain here how this PR will be tested by the reviewer: commands, dependencies, steps, etc. --> Enable DLQ on `logstash.yml`, use an ES with a closed index (to trigger 404 errors) and use a pipeline to push data into ES closed index. Monitor the HTTP endpoint. - Enable DLQ in `logstash.yml` with: ``` dead_letter_queue.enable: true dead_letter_queue.storage_policy: drop_older dead_letter_queue.max_bytes: 50mb ``` - close an index (`test_index`) in an ES instance ``` POST test_index/_close ``` to reopen: ``` POST test_index/_open ``` - create the sender pipeline: ``` input { generator { message => '{"name": "John", "surname": "Doe"}' codec => json } } output { elasticsearch { index => "test_index" hosts => "http://localhost:9200" user => "elastic" password => "changeme" } } ``` - set `pipeline.yml` with ``` - pipeline.id: test_dlq_upstream path.config: "/tmp/dlq_upstream.conf" ``` - run logstash `bin/logstash` - check the monitoring endpoint: ``` curl 'localhost:9600/_node/stats/pipelines/test_dlq_upstream' | jq .pipelines.test_dlq_upstream.dead_letter_queue ``` ## Related issues <!-- Recommended Link related issues below. Insert the issue link or reference after the word "Closes" if merging this should automatically close it. - Closes #123 - Relates #123 - Requires #123 - Superseeds #123 --> - Fixes #14010 ## Use cases <!-- Recommended Explain here the different behaviors that this PR introduces or modifies in this project, user roles, environment configuration, etc. If you are familiar with Gherkin test scenarios, we recommend its usage: https://cucumber.io/docs/gherkin/reference/ --> A user which enabled DLQ needs to monitor the behavior of the queue to understand when eventually the messages are dropped, and lost without possibility to reprocess. ## Repository Information - **Repository**: elastic/logstash - **Pull Request**: #14058 - **Base Commit**: `1c851bb15c6d8651be591f3c9389116536d22770` ## Related Issues - https://github.com/elastic/logstash/issues/14010 </issue_description> Can you help me implement the necessary changes to the repository so that the requirements specified in the <issue_description> are met? I've already taken care of all changes to any of the test files described in the <issue_description>. This means you DON'T have to modify the testing logic or any of the tests in any way! Also the development Java environment is already set up for you (i.e., all dependencies already installed), so you don't need to install other packages. Your task is to make the minimal changes to non-test files in the /workspace/logstash directory to ensure the <issue_description> is satisfied. Follow these phases to resolve the issue: Phase 1. READING: read the problem and reword it in clearer terms 1.1 If there are code or config snippets. Express in words any best practices or conventions in them. 1.2 Highlight message errors, method names, variables, file names, stack traces, and technical details. 1.3 Explain the problem in clear terms. 1.4 Enumerate the steps to reproduce the problem. 1.5 Highlight any best practices to take into account when testing and fixing the issue. Phase 2. RUNNING: install and run the tests on the repository 2.1 Follow the readme. 2.2 Install the environment and anything needed. 2.3 Iterate and figure out how to run the tests. Phase 3. EXPLORATION: find the files that are related to the problem and possible solutions 3.1 Use `grep` to search for relevant methods, classes, keywords and error messages. 3.2 Identify all files related to the problem statement. 3.3 Propose the methods and files to fix the issue and explain why. 3.4 From the possible file locations, select the most likely location to fix the issue. Phase 4. TEST CREATION: before implementing any fix, create a script to reproduce and verify the issue 4.1 Look at existing test files in the repository to understand the test format/structure. 4.2 Create a minimal reproduction script that reproduces the located issue. 4.3 Run the reproduction script with `javac <classname>.java && java <classname>` to confirm you are reproducing the issue. 4.4 Adjust the reproduction script as necessary. Phase 5. FIX ANALYSIS: state clearly the problem and how to fix it 5.1 State clearly what the problem is. 5.2 State clearly where the problem is located. 5.3 State clearly how the test reproduces the issue. 5.4 State clearly the best practices to take into account in the fix. 5.5 State clearly how to fix the problem. Phase 6. FIX IMPLEMENTATION: Edit the source code to implement your chosen solution. 6.1 Make minimal, focused changes to fix the issue. Phase 7. VERIFICATION: Test your implementation thoroughly. 7.1 Run your reproduction script to verify the fix works. 7.2 Add edge cases to your test script to ensure comprehensive coverage. 7.3 Run existing tests related to the modified code with `mvn test` to ensure you haven't broken anything. Phase 8. FINAL REVIEW: Carefully re-read the problem description and compare your changes with the base commit 1c851bb15c6d8651be591f3c9389116536d22770. 8.1 Ensure you've fully addressed all requirements. 8.2 Run any tests in the repository related to: 8.2.1 The issue you are fixing 8.2.2 The files you modified 8.2.3 The functions you changed 8.3 If any tests fail, revise your implementation until all tests pass. Be thorough in your exploration, testing, and reasoning. It's fine if your thinking process is lengthy - quality and completeness are more important than brevity. IMPORTANT CONSTRAINTS: - ONLY modify files within the /workspace/logstash directory - DO NOT navigate outside this directory (no `cd ..` or absolute paths to other locations) - DO NOT create, modify, or delete any files outside the repository - All your changes must be trackable by `git diff` within the repository - If you need to create test files, create them inside the repository directory ``` --- Harness Report runs agent harnesses from their GitHub repos on Harbor tasks and records every model call. Every page is also `.md` and `.json`; index: https://harnessreport.com/llms.txt · MCP: https://harnessreport.com/mcp