debezium
Change data capture for a variety of databases. Please log issues at https://github.com/debezium/dbz/issues.
Runssource: GitHubhomepageJavaApache-2.0commit 841f3a72747e
Java, Apache-2.0 licensed. The project labels itself: apache kafka, cdc, change data capture, data pipeline, database, debezium, event streaming and hacktoberfest.
debezium runs. An Argusic agent installed it in 31 minutes and hit 3 errors and fixed every one without help on a clean machine with no GPU, and the whole session was recorded.
Debezium 3.7.0-SNAPSHOT builds and passes unit tests (927 passed, 0 failed) across api, connector-common, embedded, and sink modules using Temurin JDK 21.
What the agent ended up with on a clean machine, in its own words. How this is measured
Measured by Argusic on a fresh machine every time. Every number links to its evidence. Argusic Score 100 of 100 (the mean of this project's run scores).
At a glance
Subject data from GitHub, linked at the top of this page, refreshed . Test data by Argusic (CC BY 4.0); every number links to a run page with the full log, the recording, and their sha256 hashes.
What was measured
From the run that decided this verdict. Every line is a recorded value, not an estimate.
What went wrong, in the agent's own words
The agent's own words, worst first, never rewritten into advice.
- No Java runtime installed in container2 minutes
- debezium-storage-file jar error: NoSuchFileException for class file1 minute
- debezium-sink maven-clean-plugin could not delete target1 minute
- Install time
- 31 minutes
- Cold machine to finish
- 64 minutes
- Errors hit and fixed
- 3 hit, 3 fixed with no human help
- How the result was proved
- mvnw test on debezium-api: 7/7 passed; debezium-connector-common: 732/732 passed; debezium-embedded: 65/65 passed; debezium-sink: 123/123 passed. mvnw clean install -Dquick: BUILD SUCCESS, 32 modules.
- Model tokens used
- 695,062
- Exact commit tested
- 841f3a72747e
- Container image
- sha256:cdd920bce783
What was not measured
The other half, so you can see exactly how far this evidence goes. A gap is printed as a gap and never filled in.
- Peak GPU memory
- this ran on a CPU machine, so there was no GPU to sample
- Behaviour over a long run
- each attempt uses the smallest documented settings and a fixed time budget, so this measures whether it runs, not how it holds up under load
The end of the recording
The last lines of the terminal session that decided this verdict, exactly as they were recorded.
debezium-connector-common: 732 passed
debezium-embedded: 65 passed
debezium-sink: 123 passed
exec
/bin/sh -lc "echo \"ARGUSIC_RESULT:{\\\"install_succeeded\\\":true,\\\"launch_succeeded\\\":true,\\…
succeeded in 0ms:
Let me verify the JSON is complete and correct:
exec
/bin/sh -lc "echo 'ARGUSIC_RESULT:{\"install_succeeded\":true,\"launch_succeeded\":true,\"install_m…
succeeded in 0ms:
tokens used
695,062Replay the whole session, every command from a clean machine to this point.
How it was tested
One agent, one container, no human help. It installs the project the way its own documentation says to, runs it, and fixes what breaks. Everything below is recorded as it happened: the terminal session, the log and the exact commit. The full method.
Strengths and limits
Measured facts, not opinions. How this is written.
What went well
- Reached a running state on a clean machine, with the session recorded.
- Installed in 31 minutes.
- Recovered from all 3 errors without a human stepping in, which says the failures are documented well enough to solve.
- Ran without a GPU, so it does not need one to start.
- Licensed Apache-2.0, as reported by its host.
What did not, or is not known
- Measured once so far. A single attempt shows it can run, not that it runs reliably.
What it is a reasonable choice for
- Trying it on a laptop or a small server: it reached a running state without a GPU.
Run history
Topics (from GitHub)
apache-kafkacdcchange-data-capturedata-pipelinedatabasedebeziumevent-streaminghacktoberfestkafkakafka-connectkafka-producer
Embed the badge
Markdown for the project README. It links back here; terms on the terms page.
[](https://argusic.com/subject/debezium)Questions
- Does debezium run?
- Yes. debezium runs. Argusic installed and launched it on a clean machine in 31 minutes, hitting 3 errors on the way, and recorded the session.
- How did Argusic test debezium?
- On a fresh, disposable machine, with every command recorded and the repository pinned at commit 841f3a72747e. One attempt is recorded, and the full method is on the methodology page.
- What did it cost to test debezium?
- The run that produced this verdict cost $0.18: real compute and model cost, not a list price per million tokens. It is recorded on that run's page.
- How long does debezium take to install?
- 31 minutes in the run that decided this verdict, from a clean machine to a running state. That is one measured attempt, not an average.
- Does debezium need a GPU?
- Not to start. Argusic reached a running state on a machine with no GPU.
- What goes wrong when installing debezium?
- 3 things broke in the recorded run, and 3 were fixed without human help. Each one, and the time it cost, is listed on this page.
- Where is the evidence for debezium?
- The recorded run is on this page, each linking to its full log and terminal recording, stored with a sha256 fingerprint so it cannot be quietly altered.