public
/
ottertune
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Logging and cleanup

This commit is contained in:
dvanaken 2020-04-14 08:24:05 -04:00 committed by Dana Van Aken
parent 99c80e2e83
commit b43a911bd7
1 changed files with 3 additions and 1 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

4
server/website/website/tasks/periodic_tasks.py
View File

@ -278,7 +278,7 @@ def run_workload_characterization(metric_data):
# Fit factor analysis model
fa_model = FactorAnalysis()
# For now we use 5 latent variables
fa_model.fit(unique_matrix, unique_columnlabels, n_components=5)
fa_model.fit(shuffled_matrix, unique_columnlabels, n_components=5)
# Components: metrics * factors
components = fa_model.components_.T.copy()
@ -302,6 +302,7 @@ def run_workload_characterization(metric_data):
# Return pruned metrics
save_execution_time(start_ts, "run_workload_characterization")
LOG.info("Workload characterization finished in %.0f seconds.", time.time() - start_ts)
return pruned_metrics
@ -384,4 +385,5 @@ def run_knob_identification(knob_data, metric_data, dbms):
consolidated_knobs = consolidate_columnlabels(encoded_knobs)
save_execution_time(start_ts, "run_knob_identification")
LOG.info("Knob identification finished in %.0f seconds.", time.time() - start_ts)
return consolidated_knobs