Airflow monitoring
Monitor percent of conclusion, if there is some failed tasks, link to the airflow logs, status per day of each failure
Details and queries available here - https://github.com/lopesdiego12/Grafana
And post done here - https://lopesdiego12.medium.com/monitoramento-de-data-pipelines-grafana-apache-airflow-d606740afff
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      "fieldConfig": {
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      "gridPos": {
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          "alias": "Conclusão",
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          "dateFormat": "YYYY-MM-DD HH:mm:ss",
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          "alias": "Status_Dag",
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          "alias": "Total_Jobs",
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          "alias": "Jobs_Executando",
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          "decimals": 0,
          "link": false,
          "mappingType": 1,
          "pattern": "running",
          "thresholds": [
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          ],
          "type": "number",
          "unit": "none"
        },
        {
          "$$hashKey": "object:9191",
          "alias": "Job_Completados",
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          "colorMode": "cell",
          "colors": [
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          "dateFormat": "YYYY-MM-DD HH:mm:ss",
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          "mappingType": 1,
          "pattern": "success",
          "sanitize": false,
          "thresholds": [
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          "type": "string",
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              "$$hashKey": "object:1561",
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              "value": ""
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          "unit": "short"
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          "alias": "Outros_Status",
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          "mappingType": 1,
          "pattern": "waring",
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          "type": "number",
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          "alias": "Crítico",
          "align": "auto",
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          "mappingType": 1,
          "pattern": "job",
          "thresholds": [],
          "type": "number",
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          "alias": "Status",
          "align": "center",
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          "mappingType": 1,
          "pattern": "failed2",
          "preserveFormat": false,
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          "thresholds": [
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          ],
          "type": "string",
          "unit": "short",
          "valueMaps": [
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              "text": "Nenhum job falhado",
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          "pattern": "/.*/",
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      ],
      "targets": [
        {
          "format": "table",
          "group": [],
          "hide": false,
          "metricColumn": "none",
          "rawQuery": true,
          "rawSql": "with \ndags_processar as (\n\tselect * from public.dag where dag_id in ($Dags)),\ntask_avg as (\n\t-- media de duracao por task\n\tselect ti.dag_id, ti.task_id, round(avg(ti.duration)) avg_duration_seconds, count(1) total_execution_times \n\tfrom dags_processar dp \n\tinner join task_instance  ti on ti.dag_id  = dp.dag_id\n\twhere ti.execution_date  >= execution_date -  interval '60 day'\n\tand   ti.state  = 'success'\n\tgroup by ti.dag_id, ti.task_id\n\torder by 1, 2),\ntmp as(\n\tselect dr.*, rank() over (partition by dr.dag_id  order by id desc) as rk from dag_run dr \n\tinner join dags_processar dp on dp.dag_id = dr.dag_id ),\ndags_last_execution as (\n\tselect * from tmp where rk = 1),\nlast_execution_tasks as (\t\n--- tasks da ultima execucao\n\tselect ti.dag_id \n\t\t  ,ti.task_id \n\t\t  ,ti.state \n\t\t  ,ti.start_date \n\t\t  ,round(EXTRACT(EPOCH FROM (coalesce(ti.end_date, current_timestamp) - ti.start_date ))) as last_duration \n\tfrom dags_last_execution dle \n\tinner join task_instance ti on dle.dag_id = ti.dag_id  and ti.execution_date  = dle.execution_date),\ntemp_last_execution_rules as (\n\tselect let.dag_id, let.task_id, let.state,\n\t\tcase when  let.last_duration> 900 and let.last_duration >= ta.avg_duration_seconds*1.3 and total_execution_times > 10 then 'CRITICAL'\n                     when  let.last_duration> 180 and let.last_duration >= ta.avg_duration_seconds*1.3 and total_execution_times > 10 then 'WARNING'\n\t\t     \t\telse 'OK'\n\t\tend message,\n\t\tlet.last_duration,\n\t\tta.avg_duration_seconds,\n\t\ttotal_execution_times,\n\t\tcase when  let.state = 'success' then ta.avg_duration_seconds- let.last_duration  else 0 end dif_between_avg_and_last\n\tfrom last_execution_tasks let \n\tleft join task_avg ta on let.dag_id = ta.dag_id and let.task_id = ta.task_id)\n--- ultima execuçao status das tasks\nselect ti.dag_id, \n\t   dle.execution_date +  interval '1 day' start_date , \n\t   dle.state,\n\t    sum(avg_duration_seconds)   FILTER (WHERE ti.state = 'success') / sum(avg_duration_seconds) as percentual_conclusao,\n\t   sum(avg_duration_seconds)   FILTER (WHERE ti.state = 'success') / sum(avg_duration_seconds) as percentual_conclusao_num,\n\t   count(1)    as total_tasks,\n\t   count(1)   FILTER (WHERE ti.state = 'running') as running,\n\t   count(1)   FILTER (WHERE ti.state = 'success') as success,\n\t   count(1)   FILTER (WHERE ti.state = 'failed') as failed,\n\t   count(1)   FILTER (WHERE ti.state = 'failed') as failed2,\n\t   count(1)   FILTER (WHERE ti.state not in ('failed', 'success' ,'failed' )    ) as other_status,\n\t   count(1)   filter (where ti.message = 'WARNING') as waring,\n\t   count(1)   filter (where ti.message = 'CRITICAL') as critical,\n\t   cast(avg(dif_between_avg_and_last) FILTER (WHERE ti.state = 'success')  as Integer) as speed\n\t \nfrom dags_last_execution dle \ninner join temp_last_execution_rules ti on dle.dag_id = ti.dag_id \ngroup by ti.dag_id, dle.execution_date,  dle.state",
          "refId": "A",
          "select": [
            [
              {
                "params": [
                  "duration"
                ],
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              }
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          "table": "task_instance",
          "timeColumn": "execution_date",
          "timeColumnType": "timestamp",
          "where": [
            {
              "name": "$__timeFilter",
              "params": [],
              "type": "macro"
            }
          ]
        }
      ],
      "timeFrom": null,
      "timeShift": null,
      "title": "Dags Status (Se há jobs falhados)",
      "transform": "table",
      "transparent": true,
      "type": "table-old"
    },
    {
      "datasource": "${DS_AIRFLOW_POSTGRESQL}",
      "fieldConfig": {
        "defaults": {
          "mappings": [
            {
              "from": "",
              "id": 1,
              "operator": "",
              "text": "",
              "to": "",
              "type": 1,
              "value": ""
            }
          ],
          "thresholds": {
            "mode": "absolute",
            "steps": [
              {
                "color": "semi-dark-green",
                "value": null
              },
              {
                "color": "semi-dark-yellow",
                "value": 35
              },
              {
                "color": "semi-dark-red",
                "value": 70
              }
            ]
          },
          "unit": "percentunit"
        },
        "overrides": []
      },
      "gridPos": {
        "h": 2,
        "w": 24,
        "x": 0,
        "y": 6
      },
      "id": 12,
      "options": {
        "displayMode": "lcd",
        "orientation": "horizontal",
        "reduceOptions": {
          "calcs": [
            "last"
          ],
          "fields": "",
          "values": true
        },
        "showUnfilled": true,
        "text": {}
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      "pluginVersion": "7.5.6",
      "targets": [
        {
          "format": "table",
          "group": [],
          "hide": false,
          "metricColumn": "none",
          "rawQuery": true,
          "rawSql": "with \r\ndags_processar as (\r\n\tselect * from public.dag where dag_id in ($Dags)),\r\ntask_avg as (\r\n\t-- media de duracao por task\r\n\tselect ti.dag_id, ti.task_id, round(avg(ti.duration)) avg_duration_seconds, count(1) total_execution_times \r\n\tfrom dags_processar dp \r\n\tinner join task_instance  ti on ti.dag_id  = dp.dag_id\r\n\twhere ti.execution_date  >= execution_date -  interval '60 day'\r\n\tand   ti.state  = 'success'\r\n\tgroup by ti.dag_id, ti.task_id\r\n\torder by 1, 2),\r\ntmp as(\r\n\tselect dr.*, rank() over (partition by dr.dag_id  order by id desc) as rk from dag_run dr \r\n\tinner join dags_processar dp on dp.dag_id = dr.dag_id ),\r\ndags_last_execution as (\r\n\tselect * from tmp where rk = 1),\r\nlast_execution_tasks as (\t\r\n--- tasks da ultima execucao\r\n\tselect ti.dag_id \r\n\t\t  ,ti.task_id \r\n\t\t  ,ti.state \r\n\t\t  ,ti.start_date \r\n\t\t  ,round(EXTRACT(EPOCH FROM (coalesce(ti.end_date, current_timestamp) - ti.start_date ))) as last_duration \r\n\tfrom dags_last_execution dle \r\n\tinner join task_instance ti on dle.dag_id = ti.dag_id  and ti.execution_date  = dle.execution_date),\r\ntemp_last_execution_rules as (\r\n\tselect let.dag_id, let.task_id, let.state,\r\n\t\tcase when  let.last_duration> 900 and let.last_duration >= ta.avg_duration_seconds*1.3 and total_execution_times > 10 then 'CRITICAL'\r\n                     when  let.last_duration> 180 and let.last_duration >= ta.avg_duration_seconds*1.3 and total_execution_times > 10 then 'WARNING'\r\n\t\t     \t\telse 'OK'\r\n\t\tend message,\r\n\t\tlet.last_duration,\r\n\t\tta.avg_duration_seconds,\r\n\t\ttotal_execution_times,\r\n\t\tcase when  let.state = 'success' then ta.avg_duration_seconds- let.last_duration  else 0 end dif_between_avg_and_last\r\n\tfrom last_execution_tasks let \r\n\tleft join task_avg ta on let.dag_id = ta.dag_id and let.task_id = ta.task_id)\r\n--- ultima execuçao status das tasks\r\nselect ti.dag_id, \r\n\t    sum(avg_duration_seconds)   FILTER (WHERE ti.state = 'success') / sum(avg_duration_seconds) as Percentual\r\n\t    --  sum(avg_duration_seconds)   FILTER (WHERE ti.state = 'success') / sum(avg_duration_seconds) as percentual_conclusao_num\r\nfrom dags_last_execution dle \r\ninner join temp_last_execution_rules ti on dle.dag_id = ti.dag_id \r\ngroup by ti.dag_id, dle.execution_date,  dle.state",
          "refId": "A",
          "select": [
            [
              {
                "params": [
                  "duration"
                ],
                "type": "column"
              }
            ]
          ],
          "table": "task_instance",
          "timeColumn": "execution_date",
          "timeColumnType": "timestamp",
          "where": [
            {
              "name": "$__timeFilter",
              "params": [],
              "type": "macro"
            }
          ]
        }
      ],
      "timeFrom": null,
      "timeShift": null,
      "title": "Percentual de conclusão",
      "type": "bargauge"
    },
    {
      "columns": [],
      "datasource": "${DS_AIRFLOW_POSTGRESQL}",
      "fieldConfig": {
        "defaults": {},
        "overrides": []
      },
      "fontSize": "80%",
      "gridPos": {
        "h": 5,
        "w": 24,
        "x": 0,
        "y": 8
      },
      "id": 10,
      "pageSize": 3,
      "showHeader": true,
      "sort": {
        "col": 5,
        "desc": true
      },
      "styles": [
        {
          "$$hashKey": "object:77723",
          "alias": "Time",
          "align": "auto",
          "dateFormat": "YYYY-MM-DD HH:mm:ss",
          "pattern": "Time",
          "type": "date"
        },
        {
          "$$hashKey": "object:77821",
          "alias": "Start",
          "align": "center",
          "colorMode": null,
          "colors": [
            "rgba(245, 54, 54, 0.9)",
            "rgba(237, 129, 40, 0.89)",
            "rgba(50, 172, 45, 0.97)"
          ],
          "dateFormat": "YYYY-MM-DD HH:mm:ss",
          "decimals": 2,
          "mappingType": 1,
          "pattern": "start",
          "thresholds": [],
          "type": "date",
          "unit": "short"
        },
        {
          "$$hashKey": "object:77832",
          "alias": "End",
          "align": "center",
          "colorMode": null,
          "colors": [
            "rgba(245, 54, 54, 0.9)",
            "rgba(237, 129, 40, 0.89)",
            "rgba(50, 172, 45, 0.97)"
          ],
          "dateFormat": "YYYY-MM-DD HH:mm:ss",
          "decimals": 2,
          "mappingType": 1,
          "pattern": "end",
          "thresholds": [],
          "type": "date",
          "unit": "short"
        },
        {
          "$$hashKey": "object:77843",
          "alias": "",
          "align": "center",
          "colorMode": null,
          "colors": [
            "rgba(245, 54, 54, 0.9)",
            "rgba(237, 129, 40, 0.89)",
            "rgba(50, 172, 45, 0.97)"
          ],
          "dateFormat": "YYYY-MM-DD HH:mm:ss",
          "decimals": 0,
          "mappingType": 1,
          "pattern": "duration",
          "sanitize": false,
          "thresholds": [],
          "type": "string",
          "unit": "short",
          "valueMaps": []
        },
        {
          "$$hashKey": "object:77889",
          "alias": "",
          "align": "auto",
          "colorMode": null,
          "colors": [
            "rgba(245, 54, 54, 0.9)",
            "rgba(237, 129, 40, 0.89)",
            "rgba(50, 172, 45, 0.97)"
          ],
          "dateFormat": "HH:mm:ss",
          "decimals": 2,
          "mappingType": 1,
          "pattern": "avg",
          "thresholds": [],
          "type": "date",
          "unit": "short"
        },
        {
          "$$hashKey": "object:765",
          "alias": "Alerta Dag Demorada",
          "align": "center",
          "colorMode": "cell",
          "colors": [
            "#37872D",
            "#F2CC0C",
            "#C4162A"
          ],
          "dateFormat": "YYYY-MM-DD HH:mm:ss",
          "decimals": 0,
          "link": false,
          "mappingType": 2,
          "pattern": "avg2",
          "rangeMaps": [
            {
              "$$hashKey": "object:801",
              "from": "0",
              "text": "",
              "to": "6"
            }
          ],
          "sanitize": false,
          "thresholds": [
            "600",
            "700"
          ],
          "type": "number",
          "unit": "short"
        },
        {
          "$$hashKey": "object:77724",
          "alias": "",
          "align": "right",
          "colorMode": null,
          "colors": [
            "rgba(245, 54, 54, 0.9)",
            "rgba(237, 129, 40, 0.89)",
            "rgba(50, 172, 45, 0.97)"
          ],
          "decimals": 2,
          "pattern": "/.*/",
          "thresholds": [],
          "type": "number",
          "unit": "short"
        }
      ],
      "targets": [
        {
          "format": "table",
          "group": [],
          "hide": false,
          "metricColumn": "none",
          "rawQuery": true,
          "rawSql": " SELECT   dag_id\r\n       ,  MIN(start_date) AS START\r\n       ,  MAX(end_date) AS end\r\n       ,  MAX(end_date) -  MIN(start_date) AS duration\r\n       ,  AVG(duration)\r\n       ,  AVG(duration) as avg2\r\n    FROM  task_instance\r\nWHERE  \r\n  dag_id in ($Dags)\r\n     AND  state = 'success'\r\n     GROUP BY  execution_date, dag_id\r\n",
          "refId": "A",
          "select": [
            [
              {
                "params": [
                  "duration"
                ],
                "type": "column"
              }
            ]
          ],
          "table": "task_instance",
          "timeColumn": "execution_date",
          "timeColumnType": "timestamp",
          "where": [
            {
              "name": "$__timeFilter",
              "params": [],
              "type": "macro"
            }
          ]
        }
      ],
      "timeFrom": null,
      "timeShift": null,
      "title": "Duração das Execuções por dia",
      "transform": "table",
      "transparent": true,
      "type": "table-old"
    },
    {
      "cacheTimeout": null,
      "columns": [],
      "datasource": "${DS_AIRFLOW_POSTGRESQL}",
      "fieldConfig": {
        "defaults": {},
        "overrides": []
      },
      "fontSize": "80%",
      "gridPos": {
        "h": 5,
        "w": 24,
        "x": 0,
        "y": 13
      },
      "id": 4,
      "links": [],
      "pageSize": 4,
      "pluginVersion": "6.7.1",
      "showHeader": true,
      "sort": {
        "col": 2,
        "desc": false
      },
      "styles": [
        {
          "$$hashKey": "object:472",
          "alias": "Time",
          "align": "auto",
          "dateFormat": "YYYY-MM-DD HH:mm:ss",
          "pattern": "Time",
          "type": "date"
        },
        {
          "$$hashKey": "object:1625",
          "alias": "",
          "align": "",
          "colorMode": "value",
          "colors": [
            "rgba(50, 172, 45, 0.97)",
            "#C4162A",
            "rgba(245, 54, 54, 0.9)"
          ],
          "dateFormat": "YYYY-MM-DD HH:mm:ss",
          "decimals": 2,
          "link": true,
          "mappingType": 2,
          "pattern": "last_duration",
          "preserveFormat": true,
          "rangeMaps": [
            {
              "$$hashKey": "object:4504",
              "from": "0",
              "text": "OK",
              "to": "179"
            },
            {
              "$$hashKey": "object:4506",
              "from": "180",
              "text": "WARNING",
              "to": "899"
            },
            {
              "$$hashKey": "object:4508",
              "from": "900",
              "text": "CRITICAL",
              "to": "100000000000"
            }
          ],
          "sanitize": true,
          "thresholds": [
            "900"
          ],
          "type": "string",
          "unit": "short"
        },
        {
          "$$hashKey": "object:4884",
          "alias": "",
          "align": "auto",
          "colorMode": null,
          "colors": [
            "rgba(245, 54, 54, 0.9)",
            "rgba(237, 129, 40, 0.89)",
            "rgba(50, 172, 45, 0.97)"
          ],
          "dateFormat": "YYYY-MM-DD HH:mm:ss",
          "decimals": 2,
          "mappingType": 1,
          "pattern": "state",
          "thresholds": [],
          "type": "string",
          "unit": "short",
          "valueMaps": [
            {
              "$$hashKey": "object:4905",
              "text": "running",
              "value": "sucess"
            },
            {
              "$$hashKey": "object:4910",
              "text": "",
              "value": ""
            }
          ]
        },
        {
          "$$hashKey": "object:473",
          "alias": "",
          "align": "center",
          "colorMode": null,
          "colors": [
            "rgba(245, 54, 54, 0.9)",
            "rgba(237, 129, 40, 0.89)",
            "rgba(50, 172, 45, 0.97)"
          ],
          "decimals": 0,
          "pattern": "/.*/",
          "thresholds": [],
          "type": "number",
          "unit": "short"
        }
      ],
      "targets": [
        {
          "format": "table",
          "group": [],
          "hide": false,
          "metricColumn": "none",
          "rawQuery": true,
          "rawSql": "\r\nwith \r\ndags_processar as (\r\n\tselect * from public.dag\r\n\twhere dag_id  in ($Dags)),\r\ntask_avg as (\r\n\t-- media de duracao por task\r\n\tselect ti.dag_id, ti.task_id, round(avg(ti.duration)) avg_duration_seconds, count(1) total_execution_times \r\n\tfrom dags_processar dp \r\n\tinner join task_instance  ti on ti.dag_id  = dp.dag_id\r\n\twhere ti.execution_date  >= execution_date -  interval '7 day'\r\n\tand   ti.state  = 'success'\r\n\tgroup by ti.dag_id, ti.task_id\r\n\torder by 1, 2),\r\ntmp as(\r\n\tselect dr.*, rank() over (partition by dr.dag_id  order by id desc) as rk from dag_run dr \r\n\tinner join dags_processar dp on dp.dag_id = dr.dag_id ),\r\ndags_last_execution as (\r\n\tselect * from tmp where rk = 1),\r\nlast_execution_tasks as (\t\r\n--- tasks da ultima execucao\r\n\tselect ti.dag_id \r\n\t\t  ,ti.task_id \r\n\t\t  ,ti.state \r\n\t\t  ,ti.start_date \r\n\t\t  ,round(EXTRACT(EPOCH FROM (coalesce(ti.end_date, current_timestamp) - ti.start_date ))) as last_duration \r\n\tfrom dags_last_execution dle \r\n\tinner join task_instance ti on dle.dag_id = ti.dag_id  and ti.execution_date  = dle.execution_date),\r\ntemp_last_execution_rules as (\r\n\tselect let.dag_id, let.task_id, let.state,\r\n\t\t--case when  let.last_duration> 900 and let.last_duration >= ta.avg_duration_seconds*1.3 and total_execution_times > 10 then 'CRITICAL' \r\n\t--\t\t when  let.last_duration> 180 and let.last_duration >= ta.avg_duration_seconds*1.3 and total_execution_times > 10 then 'WARNING'\r\n\t--\telse 'OK'\r\n\t--\tend message,\r\n\t\tlet.last_duration,\r\n\t\tta.avg_duration_seconds,\r\n\t\ttotal_execution_times,\r\n\t\tcase when  let.state = 'success' then ta.avg_duration_seconds- let.last_duration  else 0 end dif_between_avg_and_last\r\n\tfrom last_execution_tasks let \r\n\tleft join task_avg ta on let.dag_id = ta.dag_id and let.task_id = ta.task_id)\r\n--- ultima execuçao status das tasks\r\nselect * from temp_last_execution_rules\r\nwhere dag_id in ($Dags) and state = 'running'",
          "refId": "A",
          "select": [
            [
              {
                "params": [
                  "duration"
                ],
                "type": "column"
              }
            ]
          ],
          "table": "task_instance",
          "timeColumn": "execution_date",
          "timeColumnType": "timestamp",
          "where": [
            {
              "name": "$__timeFilter",
              "params": [],
              "type": "macro"
            }
          ]
        }
      ],
      "timeFrom": null,
      "timeShift": null,
      "title": "Tasks",
      "transform": "table",
      "transparent": true,
      "type": "table-old"
    },
    {
      "columns": [],
      "datasource": "${DS_AIRFLOW_POSTGRESQL}",
      "fieldConfig": {
        "defaults": {},
        "overrides": []
      },
      "fontSize": "80%",
      "gridPos": {
        "h": 5,
        "w": 24,
        "x": 0,
        "y": 18
      },
      "id": 2,
      "links": [
        {
          "title": "",
          "url": ""
        }
      ],
      "pageSize": 5,
      "showHeader": true,
      "sort": {
        "col": 1,
        "desc": true
      },
      "styles": [
        {
          "$$hashKey": "object:1077",
          "alias": "Time",
          "align": "auto",
          "dateFormat": "YYYY-MM-DD HH:mm:ss",
          "pattern": "Time",
          "type": "date"
        },
        {
          "$$hashKey": "object:1078",
          "alias": "",
          "align": "right",
          "colorMode": null,
          "colors": [
            "rgba(245, 54, 54, 0.9)",
            "rgba(237, 129, 40, 0.89)",
            "rgba(50, 172, 45, 0.97)"
          ],
          "decimals": 2,
          "link": true,
          "linkTargetBlank": true,
          "linkTooltip": "",
          "linkUrl": "${__cell:task_id}",
          "pattern": "log",
          "thresholds": [],
          "type": "number",
          "unit": "short"
        },
        {
          "$$hashKey": "object:6734",
          "alias": "",
          "align": "center",
          "colorMode": "value",
          "colors": [
            "rgba(50, 172, 45, 0.97)",
            "#C4162A",
            "#FF9830"
          ],
          "dateFormat": "YYYY-MM-DD HH:mm:ss",
          "decimals": 2,
          "link": false,
          "mappingType": 2,
          "pattern": "status_job",
          "preserveFormat": false,
          "rangeMaps": [
            {
              "$$hashKey": "object:6837",
              "from": "1",
              "text": "FAILED",
              "to": "1"
            }
          ],
          "sanitize": false,
          "thresholds": [
            "1"
          ],
          "type": "string",
          "unit": "short",
          "valueMaps": [
            {
              "$$hashKey": "object:6759",
              "text": "failed",
              "value": "failed"
            }
          ]
        }
      ],
      "targets": [
        {
          "format": "table",
          "group": [],
          "hide": false,
          "metricColumn": "none",
          "rawQuery": true,
          "rawSql": "SELECT \r\n dr.dag_id as NOME_DAG\r\n,LEFT(RIGHT(dr.run_id,25),10)  AS DATA\r\n,LEFT(RIGHT(dr.run_id,14),8)  AS HORARIO\r\n,ti.task_id as NOME_TASK_AIRFLOW\r\n--,ti.state as STATUS_JOB\r\n,case when ti.state = 'failed' then 1 else 0 end STATUS_JOB\r\n,concat('http://airflow.service.consul:8080/admin/taskinstance/?flt0_task_id_contains=' ) as log\r\nFROM dag_run as dr\r\nINNER JOIN\r\n(\r\n    SELECT dag_id, task_id, state, execution_date\r\n    FROM task_instance\r\n    WHERE state = 'failed'  and execution_date > now() - interval '7 day' and dag_id in ($Dags)\r\n  ) as ti\r\nON dr.dag_id = ti.dag_id AND dr.execution_date = ti.execution_date\r\norder by dr.dag_id, dr.execution_date\r\n",
          "refId": "A",
          "select": [
            [
              {
                "params": [
                  "duration"
                ],
                "type": "column"
              }
            ]
          ],
          "table": "task_instance",
          "timeColumn": "execution_date",
          "timeColumnType": "timestamp",
          "where": [
            {
              "name": "$__timeFilter",
              "params": [],
              "type": "macro"
            }
          ]
        }
      ],
      "timeFrom": null,
      "timeShift": null,
      "title": "Jobs falhados",
      "transform": "table",
      "transparent": true,
      "type": "table-old"
    },
    {
      "columns": [],
      "datasource": "${DS_AIRFLOW_POSTGRESQL}",
      "fieldConfig": {
        "defaults": {},
        "overrides": []
      },
      "fontSize": "80%",
      "gridPos": {
        "h": 8,
        "w": 24,
        "x": 0,
        "y": 23
      },
      "id": 8,
      "pageSize": 1000,
      "showHeader": true,
      "sort": {
        "col": 0,
        "desc": true
      },
      "styles": [
        {
          "$$hashKey": "object:73841",
          "alias": "Time",
          "align": "auto",
          "dateFormat": "YYYY-MM-DD HH:mm:ss",
          "pattern": "Time",
          "type": "date"
        },
        {
          "$$hashKey": "object:73960",
          "alias": "",
          "align": "auto",
          "colorMode": null,
          "colors": [
            "rgba(245, 54, 54, 0.9)",
            "rgba(237, 129, 40, 0.89)",
            "rgba(50, 172, 45, 0.97)"
          ],
          "dateFormat": "YYYY-MM-DD HH:mm:ss",
          "decimals": 2,
          "mappingType": 1,
          "pattern": "start",
          "thresholds": [],
          "type": "date",
          "unit": "short"
        },
        {
          "$$hashKey": "object:73973",
          "alias": "",
          "align": "auto",
          "colorMode": null,
          "colors": [
            "rgba(245, 54, 54, 0.9)",
            "rgba(237, 129, 40, 0.89)",
            "rgba(50, 172, 45, 0.97)"
          ],
          "dateFormat": "YYYY-MM-DD HH:mm:ss",
          "decimals": 2,
          "mappingType": 1,
          "pattern": "end",
          "thresholds": [],
          "type": "date",
          "unit": "short"
        },
        {
          "$$hashKey": "object:73986",
          "alias": "",
          "align": "left",
          "colorMode": null,
          "colors": [
            "rgba(245, 54, 54, 0.9)",
            "rgba(237, 129, 40, 0.89)",
            "rgba(50, 172, 45, 0.97)"
          ],
          "dateFormat": "YYYY-MM-DD HH:mm:ss",
          "decimals": 0,
          "link": false,
          "mappingType": 1,
          "pattern": "duration",
          "preserveFormat": false,
          "sanitize": false,
          "thresholds": [],
          "type": "number",
          "unit": "none",
          "valueMaps": [
            {
              "$$hashKey": "object:74022",
              "text": "",
              "value": ""
            }
          ]
        },
        {
          "$$hashKey": "object:74528",
          "alias": "",
          "align": "auto",
          "colorMode": null,
          "colors": [
            "rgba(245, 54, 54, 0.9)",
            "rgba(237, 129, 40, 0.89)",
            "rgba(50, 172, 45, 0.97)"
          ],
          "dateFormat": "YYYY-MM-DD HH:mm:ss",
          "decimals": 2,
          "mappingType": 1,
          "pattern": "execution_date",
          "thresholds": [],
          "type": "date",
          "unit": "short"
        },
        {
          "$$hashKey": "object:73842",
          "alias": "",
          "align": "center",
          "colorMode": null,
          "colors": [
            "rgba(245, 54, 54, 0.9)",
            "rgba(237, 129, 40, 0.89)",
            "rgba(50, 172, 45, 0.97)"
          ],
          "decimals": 2,
          "pattern": "/.*/",
          "thresholds": [],
          "type": "number",
          "unit": "short"
        }
      ],
      "targets": [
        {
          "format": "table",
          "group": [],
          "hide": false,
          "metricColumn": "none",
          "rawQuery": true,
          "rawSql": " SELECT  execution_date\r\n      , task_id\r\n       ,  MIN(start_date) AS start\r\n       ,  MAX(end_date) AS end\r\n       ,  MAX(end_date) - MIN(start_date) AS duration\r\n    FROM  task_instance\r\n   WHERE  dag_id in ($Dags)\r\n     AND  state = 'success'\r\nGROUP BY  execution_date, TASK_ID\r\nORDER BY  execution_date DESC",
          "refId": "A",
          "select": [
            [
              {
                "params": [
                  "duration"
                ],
                "type": "column"
              }
            ]
          ],
          "table": "task_instance",
          "timeColumn": "execution_date",
          "timeColumnType": "timestamp",
          "where": [
            {
              "name": "$__timeFilter",
              "params": [],
              "type": "macro"
            }
          ]
        }
      ],
      "timeFrom": null,
      "timeShift": null,
      "title": "Duração de cada job",
      "transform": "table",
      "transparent": true,
      "type": "table-old"
    }
  ],
  "refresh": false,
  "schemaVersion": 27,
  "style": "dark",
  "tags": [],
  "templating": {
    "list": [
      {
        "allValue": null,
        "current": {},
        "datasource": "${DS_AIRFLOW_POSTGRESQL}",
        "definition": "select dag_id from public.dag ",
        "description": null,
        "error": null,
        "hide": 0,
        "includeAll": true,
        "label": "Pesquisar por Dags",
        "multi": true,
        "name": "Dags",
        "options": [],
        "query": "select dag_id from public.dag ",
        "refresh": 1,
        "regex": "",
        "skipUrlSync": false,
        "sort": 1,
        "tagValuesQuery": "",
        "tags": [],
        "tagsQuery": "",
        "type": "query",
        "useTags": false
      }
    ]
  },
  "time": {
    "from": "now-6h",
    "to": "now"
  },
  "timepicker": {
    "refresh_intervals": [
      "5s",
      "10s",
      "30s",
      "1m",
      "5m",
      "15m",
      "30m",
      "1h",
      "2h",
      "1d"
    ]
  },
  "timezone": "",
  "title": "Airflow monitoring",
  "uid": "e9JMc2CZz",
  "version": 2,
  "description": "Monitor percent of conclusion, if there is some failed tasks, link to the airflow logs, status per day of each failure"
}