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Fix: Usability improvements #261

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3 changes: 3 additions & 0 deletions .gitignore
100644 → 100755
Original file line number Diff line number Diff line change
Expand Up @@ -57,6 +57,9 @@ bin/
# Local configuration file (sdk path, etc)
local.properties

# Python
*.pyc

# Others
*~
.DS_Store
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8 changes: 6 additions & 2 deletions launcher.sh
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@@ -1,7 +1,11 @@
#!/bin/bash -e

# Constants
LST_BENCH_HOME="$PWD"
# Directory of the script
export LST_BENCH_HOME="$(dirname "$(readlink -f "$0")")"
LST_BENCH_CLASSPATH="$LST_BENCH_HOME/target/*:$LST_BENCH_HOME/target/lib/*:$LST_BENCH_HOME/target/classes/*"

java -cp $LST_BENCH_CLASSPATH com.microsoft.lst_bench.Driver "$@"
SPARK_CLASSPATH="${SPARK_HOME}/jars/*"
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I'm wondering why is the Spark class path included here, i.e., launcher does not set up the engine for tests?

CLASSPATH="${LST_BENCH_CLASSPATH}:${SPARK_CLASSPATH}"

java -cp ${CLASSPATH} com.microsoft.lst_bench.Driver "$@"
3 changes: 3 additions & 0 deletions metrics/app/README.md
100644 → 100755
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Expand Up @@ -36,6 +36,8 @@ To include data from a new system, duplicate one of the directories in the [run
For a deeper understanding of the directory structure, consult the [README file](/run/README.md).
The LST-Bench dashboard web app automatically retrieves results from the .duckdb files within those folders and displays them on the dashboard.

Alternatively, you can provide your own paths to search for results via commandline arguments, see below.
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Nice!


## Dashboard Development
To run the LST-Bench dashboard locally and test your changes, follow these steps:

Expand Down Expand Up @@ -67,6 +69,7 @@ With the dependencies installed, you can now start the Streamlit app by running

```bash
python -m streamlit run main.py
python -m streamlit run main.py -- --result_dirs DIR1 DIR2 ...
```

This command will launch the LST-Bench dashboard locally in your browser.
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