An example dashboard which shows basic query results against mlflow system table.

mlflow_system_table_dashboard.lvdash.json

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1000;","parameters":[{"displayName":"experiment_id","keyword":"experiment_id","dataType":"STRING","defaultSelection":{"values":{"dataType":"STRING","values":[{"value":"232128429237050"}]}}},{"displayName":"run_id","keyword":"run_id","dataType":"STRING","defaultSelection":{"values":{"dataType":"STRING","values":[{"value":"677d9e209d9f404fa376a98360308847"}]}}}]},{"name":"e3103c85","displayName":"explode_params_filtered","query":" SELECT explode(params)\n FROM system.mlflow.runs_latest\n WHERE experiment_id LIKE trim(:experiment_id)\n AND run_id LIKE trim(:run_id)\n LIMIT 1000","parameters":[{"displayName":"experiment_id","keyword":"experiment_id","dataType":"STRING","defaultSelection":{"values":{"dataType":"STRING","values":[{"value":"232128429237050"}]}}},{"displayName":"run_id","keyword":"run_id","dataType":"STRING","defaultSelection":{"values":{"dataType":"STRING","values":[{"value":"677d9e209d9f404fa376a98360308847"}]}}}]},{"name":"5cddaf7e","displayName":"explode_metrics_filtered","query":"SELECT\n  metrics.col.metric_name,\n  metrics.col.min_value,\n  metrics.col.max_value,\n  metrics.col.latest_value\nFROM (\n    SELECT explode(aggregated_metrics) AS col \n    FROM system.mlflow.runs_latest\n    WHERE experiment_id LIKE trim(:experiment_id)\n    AND run_id LIKE trim(:run_id)\n) as metrics\nLIMIT 1000","parameters":[{"displayName":"experiment_id","keyword":"experiment_id","dataType":"STRING","defaultSelection":{"values":{"dataType":"STRING","values":[{"value":"232128429237050"}]}}},{"displayName":"run_id","keyword":"run_id","dataType":"STRING","defaultSelection":{"values":{"dataType":"STRING","values":[{"value":"677d9e209d9f404fa376a98360308847"}]}}}]},{"name":"ec36c089","displayName":"single_metric_values","query":" SELECT\n   metric_name,\n   metric_value,\n   metric_step,\n   metric_time\n FROM system.mlflow.run_metrics_history\n WHERE experiment_id LIKE :experiment_id\n AND run_id LIKE trim(:run_id)\n AND metric_name LIKE trim(:metric_name)\n LIMIT 1000000","parameters":[{"displayName":"experiment_id","keyword":"experiment_id","dataType":"STRING","defaultSelection":{"values":{"dataType":"STRING","values":[{"value":"714012903400884"}]}}},{"displayName":"run_id","keyword":"run_id","dataType":"STRING","defaultSelection":{"values":{"dataType":"STRING","values":[{"value":"6614f1fbaa9d457b87528e4e7cdd801f"}]}}},{"displayName":"Metric Name","keyword":"metric_name","dataType":"STRING","defaultSelection":{"values":{"dataType":"STRING","values":[{"value":"system/cpu_utilization_percentage"}]}}}]},{"name":"21e36916","displayName":"summary_stats_experiment_metric","query":"SELECT * FROM (\n  SELECT \n    r.experiment_id,\n    try_divide(SUM(CASE WHEN r.status = 'FINISHED' THEN 1 ELSE 0 END), SUM(CASE WHEN r.status = 'RUNNING' THEN 0 ELSE 1 END)) AS success_ratio,\n    count(r.run_id) as count_runs,\n    sum(CASE WHEN exists(r.aggregated_metrics, ram -> ram.metric_name = :metric_name) THEN 1 ELSE 0 END) AS runs_with_metric,\n    ROUND(AVG(CASE WHEN m.metric_name = :metric_name THEN m.metric_value ELSE NULL END), 1) AS avg_metric_value, \n    ROUND(MAX(CASE WHEN m.metric_name = :metric_name THEN m.metric_value ELSE NULL END), 1) AS max_metric_value, \n    ROUND(MIN(CASE WHEN m.metric_name = :metric_name THEN m.metric_value ELSE NULL END), 1) AS min_metric_value,\n    sum(r.end_time - r.start_time) as total_runs_time\n  FROM system.mlflow.runs_latest r\n  LEFT JOIN system.mlflow.run_metrics_history m \n    ON r.run_id = m.run_id AND m.metric_name = trim(:metric_name)\n  WHERE r.start_time > :start_time \n  GROUP BY r.experiment_id\n  ORDER BY count_runs DESC\n) WHERE runs_with_metric > 0\nLIMIT 100;","parameters":[{"displayName":"metric_name","keyword":"metric_name","dataType":"STRING","defaultSelection":{"values":{"dataType":"STRING","values":[{"value":"system/gpu_0_utilization_percentage"}]}}},{"displayName":"start_time","keyword":"start_time","dataType":"DATETIME","defaultSelection":{"values":{"dataType":"DATETIME","values":[{"value":"now-14d/d"}]}}}]},{"name":"c3811bf0","displayName":"summary_stats_experiment","query":"SELECT \n  r.experiment_id,\n  try_divide(SUM(CASE WHEN r.status = 'FINISHED' THEN 1 ELSE 0 END), SUM(CASE WHEN r.status = 'RUNNING' THEN 0 ELSE 1 END)) AS success_ratio,\n  count(r.run_id) as count_runs,\n  sum(r.end_time - r.start_time) as total_runs_time\nFROM system.mlflow.runs_latest r\nWHERE r.start_time > :start_time \nGROUP BY r.experiment_id\nORDER BY count_runs DESC\nLIMIT 100;","parameters":[{"displayName":"start_time","keyword":"start_time","dataType":"DATETIME","defaultSelection":{"values":{"dataType":"DATETIME","values":[{"value":"now-14d/d"}]}}}]}],"pages":[{"name":"4ee7e08f","displayName":"Plot Run By 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