{ "id": "lzbVE5O9z8GdHil40ueWw", "meta": { "templateCredsSetupCompleted": true }, "name": "Database Health Check", "tags": [], "nodes": [ { "id": "deed5d0d-67df-488b-8ce6-b91dd55240c1", "name": "Schedule Trigger", "type": "n8n-nodes-base.scheduleTrigger", "position": [ -688, -16 ], "parameters": { "rule": { "interval": [ { "triggerAtHour": 7, "triggerAtMinute": 2 } ] } }, "typeVersion": 1.3 }, { "id": "aaf6c50a-19ba-498d-883c-9bc0039a6d33", "name": "top slow queries", "type": "n8n-nodes-base.microsoftSql", "position": [ -256, -240 ], "parameters": { "query": "SELECT TOP 10\n SUBSTRING(st.text, (qs.statement_start_offset/2)+1,\n ((CASE qs.statement_end_offset\n WHEN -1 THEN DATALENGTH(st.text)\n ELSE qs.statement_end_offset\n END - qs.statement_start_offset)/2)+1\n ) AS query_text,\n qs.execution_count,\n ROUND(qs.total_worker_time / qs.execution_count / 1000.0, 2)\n AS avg_cpu_ms,\n ROUND(qs.total_elapsed_time / qs.execution_count / 1000.0, 2)\n AS avg_elapsed_ms,\n ROUND(qs.total_logical_reads / qs.execution_count * 1.0, 0)\n AS avg_logical_reads,\n qs.total_logical_reads,\n DB_NAME(st.dbid) AS database_name\nFROM sys.dm_exec_query_stats qs\nCROSS APPLY sys.dm_exec_sql_text(qs.sql_handle) st\nWHERE qs.execution_count > 5\n AND st.dbid = DB_ID()\nORDER BY avg_cpu_ms DESC;", "operation": "executeQuery" }, "credentials": { "microsoftSql": { "name": "" } }, "typeVersion": 1.1 }, { "id": "601f5274-b77e-432e-a33a-a14ea390c047", "name": " missing indexes", "type": "n8n-nodes-base.microsoftSql", "position": [ -256, -96 ], "parameters": { "query": "SELECT TOP 15\n ROUND(migs.avg_total_user_cost *\n migs.avg_user_impact * (migs.user_seeks + migs.user_scans),\n 0) AS improvement_score,\n ROUND(migs.avg_user_impact, 1) AS avg_impact_pct,\n migs.user_seeks,\n migs.user_scans,\n mid.statement AS table_name,\n mid.equality_columns,\n mid.inequality_columns,\n mid.included_columns\nFROM sys.dm_db_missing_index_groups mig\nJOIN sys.dm_db_missing_index_group_stats migs\n ON migs.group_handle = mig.index_group_handle\nJOIN sys.dm_db_missing_index_details mid\n ON mig.index_handle = mid.index_handle\nWHERE mid.database_id = DB_ID()\nORDER BY improvement_score DESC;", "operation": "executeQuery" }, "credentials": { "microsoftSql": { "name": "" } }, "typeVersion": 1.1 }, { "id": "d7b9ae4d-1cf0-439a-a7de-01ce948f75a6", "name": "index fragmentation", "type": "n8n-nodes-base.microsoftSql", "position": [ -256, 48 ], "parameters": { "query": "SELECT\n OBJECT_NAME(ips.object_id) AS table_name,\n i.name AS index_name,\n ips.index_type_desc,\n ROUND(ips.avg_fragmentation_in_percent, 1)\n AS fragmentation_pct,\n ips.page_count,\n CASE\n WHEN ips.avg_fragmentation_in_percent > 30 THEN 'REBUILD'\n WHEN ips.avg_fragmentation_in_percent > 10 THEN 'REORGANIZE'\n ELSE 'OK'\n END AS recommendation\nFROM sys.dm_db_index_physical_stats(\n DB_ID(), NULL, NULL, NULL, 'LIMITED'\n) ips\nJOIN sys.indexes i\n ON ips.object_id = i.object_id\n AND ips.index_id = i.index_id\nWHERE ips.page_count > 100\n AND ips.avg_fragmentation_in_percent > 10\n AND i.name IS NOT NULL\nORDER BY fragmentation_pct DESC;", "operation": "executeQuery" }, "credentials": { "microsoftSql": { "name": "" } }, "typeVersion": 1.1 }, { "id": "9fb82af6-27cc-4326-ad1a-465ac744ecb0", "name": "blocking & wait stats", "type": "n8n-nodes-base.microsoftSql", "position": [ -256, 192 ], "parameters": { "query": "SELECT TOP 10\n wait_type,\n ROUND(wait_time_ms / 1000.0, 1) AS wait_time_sec,\n ROUND(signal_wait_time_ms / 1000.0, 1) AS signal_wait_sec,\n waiting_tasks_count,\n ROUND(\n wait_time_ms * 100.0 /\n SUM(wait_time_ms) OVER(), 2\n ) AS pct_of_total\nFROM sys.dm_os_wait_stats\nWHERE wait_type NOT IN (\n 'SLEEP_TASK','BROKER_TO_FLUSH','BROKER_TASK_STOP',\n 'CLR_AUTO_EVENT','DISPATCHER_QUEUE_SEMAPHORE',\n 'FT_IFTS_SCHEDULER_IDLE_WAIT','HADR_FILESTREAM_IOMGR_IOCOMPLETION',\n 'HADR_WORK_QUEUE','LAZYWRITER_SLEEP','LOGMGR_QUEUE',\n 'REQUEST_FOR_DEADLOCK_SEARCH','RESOURCE_QUEUE',\n 'SERVER_IDLE_CHECK','SLEEP_DBSTARTUP','SLEEP_DBRECOVER',\n 'SLEEP_MASTERDBREADY','SLEEP_MASTERMDREADY',\n 'SLEEP_MASTERUPGRADED','SLEEP_MSDBSTARTUP',\n 'SLEEP_SYSTEMTASK','SLEEP_TEMPDBSTARTUP',\n 'SNI_HTTP_ACCEPT','SP_SERVER_DIAGNOSTICS_SLEEP',\n 'SQLTRACE_BUFFER_FLUSH','SQLTRACE_INCREMENTAL_FLUSH_SLEEP',\n 'WAIT_XTP_OFFLINE_CKPT_NEW_LOG','WAITFOR',\n 'XE_DISPATCHER_WAIT','XE_TIMER_EVENT',\n 'BROKER_EVENTHANDLER','CHECKPOINT_QUEUE',\n 'DBMIRROR_EVENTS_QUEUE','SQLTRACE_WAIT_ENTRIES',\n 'WAIT_XTP_CKPT_CLOSE'\n)\nORDER BY wait_time_ms DESC;", "operation": "executeQuery" }, "credentials": { "microsoftSql": { "name": "" } }, "typeVersion": 1.1 }, { "id": "d8df7d5a-d3f0-4e2b-8407-e405632ffb60", "name": "Merge", "type": "n8n-nodes-base.merge", "position": [ 128, -48 ], "parameters": { "mode": "combineBySql", "options": {}, "numberInputs": 4 }, "typeVersion": 3.2 }, { "id": "15997b43-1b65-4bc6-a590-a511c6a43fea", "name": "Code in JavaScript", "type": "n8n-nodes-base.code", "position": [ 352, -16 ], "parameters": { "jsCode": "const allItems = $input.all();\n\nconst slowQ = allItems.filter(i => i.json.avg_cpu_ms !== undefined);\nconst missIdx = allItems.filter(i => i.json.improvement_score !== undefined);\nconst fragIdx = allItems.filter(i => i.json.fragmentation_pct !== undefined);\nconst waits = allItems.filter(i => i.json.pct_of_total !== undefined);\n\nconst issues = [];\n\nfor (const row of slowQ) {\n const d = row.json;\n if (d.avg_cpu_ms > 500) {\n issues.push({\n severity: d.avg_cpu_ms > 3000 ? 'critical' : 'warning',\n type: 'Slow query',\n detail: `avg ${d.avg_cpu_ms}ms CPU \u2014 ${String(d.query_text).slice(0, 100)}...`,\n });\n }\n}\n\nfor (const row of missIdx) {\n const d = row.json;\n if (d.improvement_score > 100000) {\n issues.push({\n severity: d.improvement_score > 500000 ? 'critical' : 'warning',\n type: 'Missing index',\n detail: `${d.table_name} \u2014 score ${d.improvement_score}, impact ${d.avg_impact_pct}%`,\n });\n }\n}\n\nfor (const row of fragIdx) {\n const d = row.json;\n if (d.recommendation === 'REBUILD' || d.recommendation === 'REORGANIZE') {\n issues.push({\n severity: d.recommendation === 'REBUILD' ? 'critical' : 'warning',\n type: `Index ${d.recommendation.toLowerCase()}`,\n detail: `${d.table_name}.${d.index_name} \u2014 ${d.fragmentation_pct}% fragmented`,\n });\n }\n}\n\nfor (const row of waits.slice(0, 3)) {\n const d = row.json;\n if (d.pct_of_total > 20) {\n issues.push({\n severity: d.pct_of_total > 40 ? 'critical' : 'warning',\n type: 'High wait type',\n detail: `${d.wait_type} \u2014 ${d.pct_of_total}% of all waits (${d.wait_time_sec}s)`,\n });\n }\n}\n\nconst hasCritical = issues.some(i => i.severity === 'critical');\nconst hasIssues = issues.length > 0;\n\nconst rows = issues.map(i => `\n \n ${i.severity.toUpperCase()}\n ${i.type}\n ${i.detail}\n `).join('');\n\nconst emailHtml = `\n\n\n\n\n\n\n\n\n
\n
\n
\n DB MONITOR\n ${new Date().toDateString()}\n
\n

SQL Server health report

\n

Weekly diagnostic — ${issues.length} issue${issues.length!==1?'s':''} found across 4 checks

\n
\n\n
\n
Total issues
${issues.length}
\n
Critical
${issues.filter(i=>i.severity==='critical').length}
\n
Warnings
${issues.filter(i=>i.severity==='warning').length}
\n
DB checked
1
\n
\n\n
Issues detected
\n \n \n \n \n \n \n \n ${issues.map(i=>`\n \n \n \n \n `).join('')}\n \n
SeverityTypeDetail
${i.severity}${i.type}${i.detail}
\n\n ${issues.length ? `\n
\n
Recommended actions
\n ${issues.some(i=>i.type==='Index rebuild') ?'
Run ALTER INDEX ... REBUILD on indexes above 30% fragmentation
':''}\n ${issues.some(i=>i.type==='Index reorganize') ?'
Run ALTER INDEX ... REORGANIZE on indexes between 10\u201330%
':''}\n ${issues.some(i=>i.type==='Missing index') ?'
Review missing index suggestions \u2014 create highest-score indexes first
':''}\n ${issues.some(i=>i.type==='Slow query') ?'
Inspect slow query execution plans in SSMS
':''}\n ${issues.some(i=>i.type==='High wait type') ?'
Investigate high wait types \u2014 check disk I/O and memory pressure
':''}\n
` : ''}\n\n
\n Generated by n8n — SQL Server health monitor\n ${new Date().toISOString()}\n
\n
\n\n`;\n\nreturn [{ json: { issues, hasIssues, hasCritical, emailHtml } }];" }, "typeVersion": 2 }, { "id": "62923c71-7d64-4016-b720-8ae1e8bfdd0c", "name": "Send email", "type": "n8n-nodes-base.emailSend", "position": [ 528, -16 ], "parameters": { "html": "={{ $json.emailHtml }}", "options": {}, "subject": "SQL Server health", "toEmail": "user@example.com", "fromEmail": "user@example.com" }, "credentials": { "smtp": { "name": "" } }, "typeVersion": 2.1 }, { "id": "323776ae-aa8a-4d7d-9cfb-90cf5efaf924", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ -1200, -304 ], "parameters": { "width": 464, "height": 688, "content": "### \ud83d\udccb SQL Server Automated Health Monitor \u2192 Weekly Email\n\nWho's it for: SQL Server developers and DBAs who want automated weekly diagnostics without manual querying or expensive monitoring tools.\n\nWhat it does: Runs 4 diagnostic queries against SQL Server DMVs every Monday, scores findings by severity, and sends a formatted HTML email report \u2014 only when issues are detected.\n\nHow it works:\n\n1. Schedule Trigger fires every Monday at 7 AM.\n\n2. 4 SQL nodes run in parallel \u2014 slow queries, missing indexes, index fragmentation, wait stats.\n\n3. Merge node combines all results into a single stream.\n\n4. Code node filters by field signature, scores severity (critical/warning), and builds the HTML email.\n\n5. Send Email dispatches the report only when issues exist.\n\n\u2699\ufe0f Setup required:\n\n\u2022 Add MSSQL credential with VIEW SERVER STATE permission\n\n\u2022 Add SMTP or Gmail credential for email\n\n\u2022 Adjust severity thresholds in the Code node to match your workload" }, "typeVersion": 1 }, { "id": "f8b52b71-5a1a-4533-bbad-2d85ea2c1dc3", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [ -416, -736 ], "parameters": { "color": 7, "width": 480, "height": 336, "content": "#### SQL Query nodes\n\n**top slow queries MSSQL**\n\nQueries sys.dm_exec_query_stats + sys.dm_exec_sql_text to find the 10 queries with highest average CPU time. Filters to queries with more than 5 executions. No extension needed \u2014 available on SQL Server 2008+.\n\n**missing indexes MSSQL**\n\nQueries sys.dm_db_missing_index_details + sys.dm_db_missing_index_group_stats. SQL Server's optimizer tracks indexes it wishes existed \u2014 this surfaces them ranked by estimated improvement score." }, "typeVersion": 1 }, { "id": "32f761f4-fbf2-4aef-91d2-afd040436572", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [ -416, 528 ], "parameters": { "color": 7, "width": 480, "height": 304, "content": "#### SQL Query nodes\n\n**index fragmentation MSSQL**\n\nQueries sys.dm_db_index_physical_stats in LIMITED mode. Returns indexes above 10% fragmentation with a REBUILD or REORGANIZE recommendation automatically calculated.\n\n**blocking & wait stats MSSQL**\n\nQueries sys.dm_os_wait_stats for the top 10 wait types, pre-filtered to exclude idle system waits. Flags any wait type consuming more than 20% of total server wait time." }, "typeVersion": 1 }, { "id": "db168b4c-8052-442d-86ef-efa83f0977f8", "name": "Sticky Note3", "type": "n8n-nodes-base.stickyNote", "position": [ 336, -432 ], "parameters": { "color": 7, "width": 320, "height": 320, "content": "#### Email template and notification\n\nUses $input.all() to receive merged rows. Identifies each query's rows by unique field signatures (avg_cpu_ms, improvement_score, fragmentation_pct, pct_of_total)\n\nSends the HTML report via SMTP or Gmail. Subject line dynamically includes [CRITICAL] or [WARNING] prefix based on highest severity found. Only fires when hasIssues === true \u2014 no email on clean runs." }, "typeVersion": 1 } ], "active": false, "settings": { "availableInMCP": false, "executionOrder": "v1" }, "versionId": "db644cc5-0929-425e-92ef-98f1028783ac", "connections": { "Merge": { "main": [ [ { "node": "Code in JavaScript", "type": "main", "index": 0 } ] ] }, " missing indexes": { "main": [ [ { "node": "Merge", "type": "main", "index": 1 } ] ] }, "Schedule Trigger": { "main": [ [ { "node": "top slow queries", "type": "main", "index": 0 }, { "node": "blocking & wait stats", "type": "main", "index": 0 }, { "node": "index fragmentation", "type": "main", "index": 0 }, { "node": " missing indexes", "type": "main", "index": 0 } ] ] }, "top slow queries": { "main": [ [ { "node": "Merge", "type": "main", "index": 0 } ] ] }, "Code in JavaScript": { "main": [ [ { "node": "Send email", "type": "main", "index": 0 } ] ] }, "index fragmentation": { "main": [ [ { "node": "Merge", "type": "main", "index": 2 } ] ] }, "blocking & wait stats": { "main": [ [ { "node": "Merge", "type": "main", "index": 3 } ] ] } } }