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User guide · Changes

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Improved 5.0 documentation authored Oct 16, 2024 by Oriol Vidal Teruel's avatar Oriol Vidal Teruel
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User-guide.md
View page @ d7dd976c
......@@ -201,16 +201,17 @@ mpirun -np 64 singularity exec $IMAGE $EAR_INSTALL_PATH/bin/erun \
```
Note that the example exports `APPTAINERENV_EAR_REPORT_ADD` to set the environment variable [`EAR_REPORT_ADD`](EAR-environment-variables#report-plug-ins) to load [`sysfs`](Report#sysfs-report-plugin) report plug-in.
See [next section](#runtime-report-plug-ins) about report plug-ins.
# Retrieving EAR data
As a job accounting and monitoring tool, EARL collects some metrics that you can
get to see or know your applications behaviour.
get to see or know your applications workload.
The Library is doted with several modules and options to be able to provide different
kind of information.
As a very simple hint of your application workload, you can enable EARL verbosity (e.g., `--ear-verbose=1`) to get loop data at runtime.
The information is shown at _stderr_ by default.
As a very simple hint of your application workload, you can enable EARL verbosity (i.e., `--ear-verbose=1`) to get loop data at runtime.
**The information is shown at _stderr_ by default.**
Read how to set up verbosity at [submission time](ear-job-submission-flags) and
[verbosity environment variables](EAR-environment-variables#verbosity) provided
for a more advanced tunning of this EAR feature.
......@@ -231,8 +232,7 @@ You can load this plug-in in two ways:
1. By setting [`--ear-user-db`](#ear-job-submission-flags) flag at submission time.
2. [Loading directly the report plug-in](EAR-environment-variables#ear_report_add) through an environment variable: `export EAR_REPORT_ADD=csv_ts.so`.
> Contact with [ear-support@bsc.es](mailto:ear-support@bsc.es) for more information
about report plug-ins.
Read [report plug-ins](Report) dedicated section for more information.
## Other EARL events
......@@ -274,7 +274,7 @@ with runtime collected metrics (loops node signatures).
Read [`eacct`'s section](EAR-commands#ear-job-accounting-eacct) in the commands page to know which metrics are reported,
as data generated by this flag is the same as the reported (and retrieved later by the command) to the Database.
Verbose messages are placed by default in _stderr_.
Verbose messages are placed by default at _stderr_.
For jobs with multiple nodes, `ear-verbose` option can result in lots of messages
mixed at _stderr_.
We recommend to split up SLURM's output (or error) file per-node.
......
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