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2 changes: 1 addition & 1 deletion .github/workflows/publish.yml
Original file line number Diff line number Diff line change
Expand Up @@ -43,7 +43,7 @@ jobs:
uses: actions/setup-java@v4
with:
distribution: temurin
java-version: 17
java-version: 21
cache: sbt

- name: Setup SBT
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4 changes: 1 addition & 3 deletions .github/workflows/scala.yml
Original file line number Diff line number Diff line change
Expand Up @@ -16,8 +16,6 @@ jobs:
fail-fast: false
matrix:
include:
- os: ubuntu-latest
java: 17
- os: ubuntu-latest
java: 21
- os: ubuntu-latest
Expand Down Expand Up @@ -53,7 +51,7 @@ jobs:
uses: actions/setup-java@v4
with:
distribution: temurin
java-version: 17
java-version: 21
cache: sbt

- name: Setup SBT
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9 changes: 8 additions & 1 deletion README.md
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Expand Up @@ -120,14 +120,21 @@ And use the `--debug` option to get more information about any exceptions you en

## Alternative installation: JAR builds

If for some reason the binaries wouldn't work for you, or you want to get better performance for large files (see *Performance considerations* below), you can use the JAR build. This build runs on any platform, as long as you have Java (min. version 17). Go to the **[releases page](https://github.com/Jelly-RDF/cli/releases/latest)** and download the `jelly-cli.jar` file. Then, run it like so:
If for some reason the binaries wouldn't work for you, or you want to get better performance for large files (see *Performance considerations* below), you can use the JAR build. This build runs on any platform, as long as you have Java (min. version 21). Go to the **[releases page](https://github.com/Jelly-RDF/cli/releases/latest)** and download the `jelly-cli.jar` file. Then, run it like so:

```shell
java -jar jelly-cli.jar --help
```

For simple day-to-day use cases, we recommend using the binary distribution, because it has way faster startup times and doesn't require you to install Java.

### Java version requirements

Depending on the version of `jelly-cli`:

- 0.10.x or later: Java 21+
- 0.1.x – 0.9.x: Java 17+

### Performance considerations

If you are bulk-converting large amounts of RDF data (>10M triples), you may want to use the JAR build instead of the pre-compiled binary. With the JAR, your JVM will perform just-in-time compilation, resulting in better optimized code. The application will take longer to start, but the overall throughput will be better for large files.
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