ccfos
/
nightingale
Not watched
1
0
Fork 0
Code
Releases 20 Wiki evaluate Activity
Issues 0 Pull Requests 0 Datasets Model Cloudbrain HPC
You can not select more than 25 topics Topics must start with a chinese character,a letter or number, can include dashes ('-') and can be up to 35 characters long.
Tree: eb330f00b2
Branches Tags
${ item.name }
Create branch ${ searchTerm }
from 'eb330f00b2'
${ noResults }
nightingale/integrations/PostgreSQL/dashboards/postgresql_by_categraf.json

747 lines
29 kB
Raw Blame History 

  1. {

  2.     "id": 0,

  3.     "group_id": 0,

  4.     "name": "postgresql by categraf",

  5.     "ident": "",

  6.     "tags": "categraf",

  7.     "create_at": 0,

  8.     "create_by": "",

  9.     "update_at": 0,

  10.     "update_by": "",

  11.     "configs": {

  12.         "links": [

  13.             {

  14.                 "targetBlank": true,

  15.                 "title": "文档",

  16.                 "url": "https://github.com/ccfos/nightingale/tree/main/integrations/postgresql/markdown/"

  17.             }

  18.         ],

  19.         "panels": [

  20.             {

  21.                 "collapsed": true,

  22.                 "id": "7f38f76f-5e62-4660-a104-a7f1e6e73aeb",

  23.                 "layout": {

  24.                     "h": 1,

  25.                     "i": "7f38f76f-5e62-4660-a104-a7f1e6e73aeb",

  26.                     "isResizable": false,

  27.                     "w": 24,

  28.                     "x": 0,

  29.                     "y": 0

  30.                 },

  31.                 "name": "pg_stat_database",

  32.                 "panels": [],

  33.                 "type": "row"

  34.             },

  35.             {

  36.                 "custom": {

  37.                     "calc": "lastNotNull",

  38.                     "colSpan": 1,

  39.                     "colorMode": "value",

  40.                     "textMode": "valueAndName",

  41.                     "textSize": {

  42.                         "title": 32,

  43.                         "value": 46

  44.                     },

  45.                     "valueField": "Value"

  46.                 },

  47.                 "datasourceCate": "prometheus",

  48.                 "datasourceValue": "${datasource}",

  49.                 "id": "65571b64-d249-40f1-8c57-ef826118c7a9",

  50.                 "layout": {

  51.                     "h": 4,

  52.                     "i": "65571b64-d249-40f1-8c57-ef826118c7a9",

  53.                     "isResizable": true,

  54.                     "w": 6,

  55.                     "x": 0,

  56.                     "y": 1

  57.                 },

  58.                 "name": "连接数",

  59.                 "options": {

  60.                     "standardOptions": {},

  61.                     "thresholds": {

  62.                         "steps": [

  63.                             {

  64.                                 "color": "#634CD9",

  65.                                 "type": "base",

  66.                                 "value": null

  67.                             }

  68.                         ]

  69.                     }

  70.                 },

  71.                 "targets": [

  72.                     {

  73.                         "expr": "postgresql_numbackends{server=\"$server\",db=\"$db\"}",

  74.                         "legend": "{{db}}",

  75.                         "refId": "A"

  76.                     }

  77.                 ],

  78.                 "type": "stat",

  79.                 "version": "2.0.0"

  80.             },

  81.             {

  82.                 "custom": {

  83.                     "calc": "lastNotNull",

  84.                     "colSpan": 1,

  85.                     "colorMode": "value",

  86.                     "textMode": "valueAndName",

  87.                     "textSize": {

  88.                         "title": 32,

  89.                         "value": 46

  90.                     },

  91.                     "valueField": "Value"

  92.                 },

  93.                 "datasourceCate": "prometheus",

  94.                 "datasourceValue": "${datasource}",

  95.                 "description": "命中率低于99%，就需要适当调大shared buffer",

  96.                 "id": "bdf5299c-b621-4d98-bcf8-fa2ebd12b7d4",

  97.                 "layout": {

  98.                     "h": 4,

  99.                     "i": "0fb92b82-63c4-4edd-a452-fb51150757ab",

  100.                     "isResizable": true,

  101.                     "w": 6,

  102.                     "x": 6,

  103.                     "y": 1

  104.                 },

  105.                 "name": "缓存命中率",

  106.                 "options": {

  107.                     "standardOptions": {

  108.                         "util": "percentUnit"

  109.                     },

  110.                     "thresholds": {

  111.                         "steps": [

  112.                             {

  113.                                 "color": "#634CD9",

  114.                                 "type": "base",

  115.                                 "value": null

  116.                             }

  117.                         ]

  118.                     }

  119.                 },

  120.                 "targets": [

  121.                     {

  122.                         "expr": "postgresql_blks_hit{server=\"$server\",db=\"$db\"}/(postgresql_blks_hit{server=\"$server\",db=\"$db\"}+postgresql_blks_read{server=\"$server\",db=\"$db\"})",

  123.                         "legend": "{{db}}",

  124.                         "refId": "A"

  125.                     }

  126.                 ],

  127.                 "type": "stat",

  128.                 "version": "2.0.0"

  129.             },

  130.             {

  131.                 "custom": {

  132.                     "calc": "lastNotNull",

  133.                     "colSpan": 1,

  134.                     "colorMode": "value",

  135.                     "textMode": "valueAndName",

  136.                     "textSize": {

  137.                         "title": 32,

  138.                         "value": 46

  139.                     },

  140.                     "valueField": "Value"

  141.                 },

  142.                 "datasourceCate": "prometheus",

  143.                 "datasourceValue": "${datasource}",

  144.                 "description": "死锁的数量，如果这个值很大说明业务逻辑有问题",

  145.                 "id": "2a559648-ad51-40d1-a6ff-f641467b57ea",

  146.                 "layout": {

  147.                     "h": 4,

  148.                     "i": "d78ae395-1d53-481a-9566-9f4913616330",

  149.                     "isResizable": true,

  150.                     "w": 6,

  151.                     "x": 12,

  152.                     "y": 1

  153.                 },

  154.                 "name": "死锁数",

  155.                 "options": {

  156.                     "standardOptions": {

  157.                         "util": "none"

  158.                     },

  159.                     "thresholds": {

  160.                         "steps": [

  161.                             {

  162.                                 "color": "#634CD9",

  163.                                 "type": "base",

  164.                                 "value": null

  165.                             }

  166.                         ]

  167.                     }

  168.                 },

  169.                 "targets": [

  170.                     {

  171.                         "expr": "postgresql_deadlocks{server=\"$server\",db=\"$db\"}",

  172.                         "legend": "{{db}}",

  173.                         "refId": "A"

  174.                     }

  175.                 ],

  176.                 "type": "stat",

  177.                 "version": "2.0.0"

  178.             },

  179.             {

  180.                 "custom": {

  181.                     "calc": "lastNotNull",

  182.                     "colSpan": 1,

  183.                     "colorMode": "value",

  184.                     "textMode": "valueAndName",

  185.                     "textSize": {

  186.                         "title": 32,

  187.                         "value": 46

  188.                     },

  189.                     "valueField": "Value"

  190.                 },

  191.                 "datasourceCate": "prometheus",

  192.                 "datasourceValue": "${datasource}",

  193.                 "description": "与恢复冲突取消的查询次数，只会在备机上发生",

  194.                 "id": "87a74ec2-c6d2-49e8-a1ea-4dbf1252a33d",

  195.                 "layout": {

  196.                     "h": 4,

  197.                     "i": "a666823e-455f-459e-bbfe-169341b77ddc",

  198.                     "isResizable": true,

  199.                     "w": 6,

  200.                     "x": 18,

  201.                     "y": 1

  202.                 },

  203.                 "name": "冲突数",

  204.                 "options": {

  205.                     "standardOptions": {

  206.                         "util": "none"

  207.                     },

  208.                     "thresholds": {

  209.                         "steps": [

  210.                             {

  211.                                 "color": "#634CD9",

  212.                                 "type": "base",

  213.                                 "value": null

  214.                             }

  215.                         ]

  216.                     }

  217.                 },

  218.                 "targets": [

  219.                     {

  220.                         "expr": "postgresql_conflicts{server=\"$server\",db=\"$db\"}",

  221.                         "legend": "{{db}}",

  222.                         "refId": "A"

  223.                     }

  224.                 ],

  225.                 "type": "stat",

  226.                 "version": "2.0.0"

  227.             },

  228.             {

  229.                 "custom": {

  230.                     "drawStyle": "lines",

  231.                     "fillOpacity": 0.3,

  232.                     "gradientMode": "opacity",

  233.                     "lineInterpolation": "smooth",

  234.                     "lineWidth": 2,

  235.                     "stack": "off"

  236.                 },

  237.                 "datasourceCate": "prometheus",

  238.                 "datasourceValue": "${datasource}",

  239.                 "description": "rollback 过多，则需要检查业务逻辑，表面业务逻辑存在问题",

  240.                 "id": "3dea2872-5904-4abf-b0f8-64afe82b617a",

  241.                 "layout": {

  242.                     "h": 4,

  243.                     "i": "443aee8c-d1b8-485b-b74f-13fa58b6e7ae",

  244.                     "isResizable": true,

  245.                     "w": 12,

  246.                     "x": 0,

  247.                     "y": 5

  248.                 },

  249.                 "name": "事务统计",

  250.                 "options": {

  251.                     "legend": {

  252.                         "displayMode": "hidden"

  253.                     },

  254.                     "standardOptions": {},

  255.                     "thresholds": {

  256.                         "steps": [

  257.                             {

  258.                                 "color": "#634CD9",

  259.                                 "type": "base",

  260.                                 "value": null

  261.                             }

  262.                         ]

  263.                     },

  264.                     "tooltip": {

  265.                         "mode": "all",

  266.                         "sort": "none"

  267.                     }

  268.                 },

  269.                 "targets": [

  270.                     {

  271.                         "expr": "increase(postgresql_xact_commit{server=\"$server\",db=\"$db\"}[5m])",

  272.                         "legend": "commit",

  273.                         "refId": "A"

  274.                     },

  275.                     {

  276.                         "expr": "increase(postgresql_xact_rollback{server=\"$server\",db=\"$db\"}[5m])",

  277.                         "legend": "rollback",

  278.                         "refId": "B"

  279.                     }

  280.                 ],

  281.                 "type": "timeseries",

  282.                 "version": "2.0.0"

  283.             },

  284.             {

  285.                 "custom": {

  286.                     "drawStyle": "lines",

  287.                     "fillOpacity": 0.3,

  288.                     "gradientMode": "opacity",

  289.                     "lineInterpolation": "smooth",

  290.                     "lineWidth": 2,

  291.                     "stack": "off"

  292.                 },

  293.                 "datasourceCate": "prometheus",

  294.                 "datasourceValue": "${datasource}",

  295.                 "description": "returned ,代表执行查询遍历行数\nfetched，代表返回给客户端的行数\nreturned 远大于 fetched，代表查询效率低，存在全表扫描，应增加索引进行优化",

  296.                 "id": "dec2c25d-ae70-4e47-bc4f-6dbaa9e72683",

  297.                 "layout": {

  298.                     "h": 4,

  299.                     "i": "8b85bc95-091a-4868-9bec-b495609d7a04",

  300.                     "isResizable": true,

  301.                     "w": 12,

  302.                     "x": 12,

  303.                     "y": 5

  304.                 },

  305.                 "name": "数据查询统计",

  306.                 "options": {

  307.                     "legend": {

  308.                         "displayMode": "hidden"

  309.                     },

  310.                     "standardOptions": {},

  311.                     "thresholds": {

  312.                         "steps": [

  313.                             {

  314.                                 "color": "#634CD9",

  315.                                 "type": "base",

  316.                                 "value": null

  317.                             }

  318.                         ]

  319.                     },

  320.                     "tooltip": {

  321.                         "mode": "all",

  322.                         "sort": "none"

  323.                     }

  324.                 },

  325.                 "targets": [

  326.                     {

  327.                         "expr": "increase(postgresql_tup_returned{server=\"$server\",db=\"$db\"}[5m])",

  328.                         "legend": "returned",

  329.                         "refId": "A"

  330.                     },

  331.                     {

  332.                         "expr": "increase(postgresql_tup_fetched{server=\"$server\",db=\"$db\"}[5m])",

  333.                         "legend": "fetched",

  334.                         "refId": "B"

  335.                     }

  336.                 ],

  337.                 "type": "timeseries",

  338.                 "version": "2.0.0"

  339.             },

  340.             {

  341.                 "custom": {

  342.                     "drawStyle": "lines",

  343.                     "fillOpacity": 0.3,

  344.                     "gradientMode": "opacity",

  345.                     "lineInterpolation": "smooth",

  346.                     "lineWidth": 2,

  347.                     "stack": "off"

  348.                 },

  349.                 "datasourceCate": "prometheus",

  350.                 "datasourceValue": "${datasource}",

  351.                 "description": "",

  352.                 "id": "048d2652-40f1-42ab-a435-7e02d51c98c4",

  353.                 "layout": {

  354.                     "h": 4,

  355.                     "i": "e08d94bb-1a72-4104-8ba0-11ab7317a192",

  356.                     "isResizable": true,

  357.                     "w": 12,

  358.                     "x": 0,

  359.                     "y": 9

  360.                 },

  361.                 "name": "数据更新统计",

  362.                 "options": {

  363.                     "legend": {

  364.                         "displayMode": "hidden"

  365.                     },

  366.                     "standardOptions": {},

  367.                     "thresholds": {

  368.                         "steps": [

  369.                             {

  370.                                 "color": "#634CD9",

  371.                                 "type": "base",

  372.                                 "value": null

  373.                             }

  374.                         ]

  375.                     },

  376.                     "tooltip": {

  377.                         "mode": "all",

  378.                         "sort": "none"

  379.                     }

  380.                 },

  381.                 "targets": [

  382.                     {

  383.                         "expr": "increase(postgresql_tup_inserted{server=\"$server\",db=\"$db\"}[5m])",

  384.                         "legend": "inserted",

  385.                         "refId": "A"

  386.                     },

  387.                     {

  388.                         "expr": "increase(postgresql_tup_updated{server=\"$server\",db=\"$db\"}[5m])",

  389.                         "legend": "updated",

  390.                         "refId": "B"

  391.                     },

  392.                     {

  393.                         "expr": "increase(postgresql_tup_deleted{server=\"$server\",db=\"$db\"}[5m])",

  394.                         "legend": "deleted",

  395.                         "refId": "C"

  396.                     }

  397.                 ],

  398.                 "type": "timeseries",

  399.                 "version": "2.0.0"

  400.             },

  401.             {

  402.                 "custom": {

  403.                     "drawStyle": "lines",

  404.                     "fillOpacity": 0.3,

  405.                     "gradientMode": "opacity",

  406.                     "lineInterpolation": "smooth",

  407.                     "lineWidth": 2,

  408.                     "stack": "off"

  409.                 },

  410.                 "datasourceCate": "prometheus",

  411.                 "datasourceValue": "${datasource}",

  412.                 "description": "temp_files较高说明存在很多排序，hash,或者聚合这种操作，可以增大work_mem减少临时文件的产生，并且同时这些操作的性能也会有较大的提升",

  413.                 "id": "c89d1e4b-d8ad-402d-bee4-f6d362b4634a",

  414.                 "layout": {

  415.                     "h": 4,

  416.                     "i": "971c5838-7408-4ec7-ae5e-33dcd0f20210",

  417.                     "isResizable": true,

  418.                     "w": 12,

  419.                     "x": 12,

  420.                     "y": 9

  421.                 },

  422.                 "name": "生成临时文件统计",

  423.                 "options": {

  424.                     "legend": {

  425.                         "displayMode": "hidden"

  426.                     },

  427.                     "standardOptions": {},

  428.                     "thresholds": {

  429.                         "steps": [

  430.                             {

  431.                                 "color": "#634CD9",

  432.                                 "type": "base",

  433.                                 "value": null

  434.                             }

  435.                         ]

  436.                     },

  437.                     "tooltip": {

  438.                         "mode": "all",

  439.                         "sort": "none"

  440.                     }

  441.                 },

  442.                 "targets": [

  443.                     {

  444.                         "expr": "increase(postgresql_temp_files{server=\"$server\",db=\"$db\"}[5m])",

  445.                         "legend": "temp_files",

  446.                         "refId": "A"

  447.                     },

  448.                     {

  449.                         "expr": "increase(postgresql_temp_bytes{server=\"$server\",db=\"$db\"}[5m])",

  450.                         "legend": "temp_bytes",

  451.                         "refId": "B"

  452.                     }

  453.                 ],

  454.                 "type": "timeseries",

  455.                 "version": "2.0.0"

  456.             },

  457.             {

  458.                 "custom": {

  459.                     "drawStyle": "lines",

  460.                     "fillOpacity": 0.3,

  461.                     "gradientMode": "opacity",

  462.                     "lineInterpolation": "smooth",

  463.                     "lineWidth": 2,

  464.                     "stack": "off"

  465.                 },

  466.                 "datasourceCate": "prometheus",

  467.                 "datasourceValue": "${datasource}",

  468.                 "description": "数据库中花费在读取文件的时间，这个值很高说明内存较小，需要频繁从磁盘读入数据文件\n数据库中花费在写数据文件的时间，pg中脏页一般写入page cache，如果这个值较高，则说明cache较小，操作系统的cache需要更积极的写入",

  469.                 "id": "7ae2c26a-cc2b-435d-9a16-52722c37bedf",

  470.                 "layout": {

  471.                     "h": 4,

  472.                     "i": "71e28edd-8961-4a7a-be78-3a9a526c89bb",

  473.                     "isResizable": true,

  474.                     "w": 24,

  475.                     "x": 0,

  476.                     "y": 13

  477.                 },

  478.                 "name": "数据库读写时间统计",

  479.                 "options": {

  480.                     "legend": {

  481.                         "displayMode": "hidden"

  482.                     },

  483.                     "standardOptions": {

  484.                         "util": "milliseconds"

  485.                     },

  486.                     "thresholds": {

  487.                         "steps": [

  488.                             {

  489.                                 "color": "#634CD9",

  490.                                 "type": "base",

  491.                                 "value": null

  492.                             }

  493.                         ]

  494.                     },

  495.                     "tooltip": {

  496.                         "mode": "all",

  497.                         "sort": "none"

  498.                     }

  499.                 },

  500.                 "targets": [

  501.                     {

  502.                         "expr": "increase(postgresql_blk_read_time{server=\"$server\",db=\"$db\"}[5m])",

  503.                         "legend": "blk_read_time",

  504.                         "refId": "A"

  505.                     },

  506.                     {

  507.                         "expr": "increase(postgresql_blk_write_time{server=\"$server\",db=\"$db\"}[5m])",

  508.                         "legend": "blk_write_time",

  509.                         "refId": "B"

  510.                     }

  511.                 ],

  512.                 "type": "timeseries",

  513.                 "version": "2.0.0"

  514.             },

  515.             {

  516.                 "collapsed": true,

  517.                 "id": "72575aba-dbf5-4a05-8bd6-64170bff617e",

  518.                 "layout": {

  519.                     "h": 1,

  520.                     "i": "72575aba-dbf5-4a05-8bd6-64170bff617e",

  521.                     "isResizable": false,

  522.                     "w": 24,

  523.                     "x": 0,

  524.                     "y": 17

  525.                 },

  526.                 "name": "pg_stat_bgwriter",

  527.                 "type": "row"

  528.             },

  529.             {

  530.                 "custom": {

  531.                     "drawStyle": "lines",

  532.                     "fillOpacity": 0.3,

  533.                     "gradientMode": "opacity",

  534.                     "lineInterpolation": "smooth",

  535.                     "lineWidth": 2,

  536.                     "stack": "off"

  537.                 },

  538.                 "datasourceCate": "prometheus",

  539.                 "datasourceValue": "${datasource}",

  540.                 "description": "postgresql_checkpoints_timed：指超过checkpoint_timeout的时间后触发的检查点次数\npostgresql_checkpoints_req：手动触发checkpoint或者因为WAL文件数量达到max_wal_size时也会增加，如果这个值大于postgresql_checkpoints_timed说明checkpoint_timeout设置的不合理",

  541.                 "id": "600a9687-0a1e-4531-b9bc-ccf8589566a2",

  542.                 "layout": {

  543.                     "h": 5,

  544.                     "i": "c3d3ccee-719f-4280-8921-367ea5343849",

  545.                     "isResizable": true,

  546.                     "w": 12,

  547.                     "x": 0,

  548.                     "y": 18

  549.                 },

  550.                 "name": "checkpoint分布",

  551.                 "options": {

  552.                     "legend": {

  553.                         "displayMode": "hidden"

  554.                     },

  555.                     "standardOptions": {

  556.                         "util": "none"

  557.                     },

  558.                     "thresholds": {

  559.                         "steps": [

  560.                             {

  561.                                 "color": "#634CD9",

  562.                                 "type": "base",

  563.                                 "value": null

  564.                             }

  565.                         ]

  566.                     },

  567.                     "tooltip": {

  568.                         "mode": "all",

  569.                         "sort": "none"

  570.                     }

  571.                 },

  572.                 "targets": [

  573.                     {

  574.                         "expr": "increase(postgresql_checkpoints_timed{server=\"$server\",db=\"$db\"}[5m])",

  575.                         "legend": "postgresql_checkpoints_timed",

  576.                         "refId": "A"

  577.                     },

  578.                     {

  579.                         "expr": "increase(postgresql_checkpoints_req{server=\"$server\",db=\"$db\"}[5m])",

  580.                         "legend": "postgresql_checkpoints_req",

  581.                         "refId": "B"

  582.                     }

  583.                 ],

  584.                 "type": "timeseries",

  585.                 "version": "2.0.0"

  586.             },

  587.             {

  588.                 "custom": {

  589.                     "drawStyle": "lines",

  590.                     "fillOpacity": 0.3,

  591.                     "gradientMode": "opacity",

  592.                     "lineInterpolation": "smooth",

  593.                     "lineWidth": 2,

  594.                     "stack": "off"

  595.                 },

  596.                 "datasourceCate": "prometheus",

  597.                 "datasourceValue": "${datasource}",

  598.                 "description": "checkpoint_write_time: 从shared buffer 中write到page cache花费的时间\ncheckpoint_sync_time  : checkpoint调用fsync将脏数据刷到磁盘花费的时间，如果这个值很长，容易造成IO抖动，需要增加checkpoint_timeout或者checkpoint_completion_target",

  599.                 "id": "561012f8-481a-482a-8504-4bdd8c62e8a6",

  600.                 "layout": {

  601.                     "h": 5,

  602.                     "i": "178d8220-3c22-4ea3-909d-71c73fbb3a78",

  603.                     "isResizable": true,

  604.                     "w": 12,

  605.                     "x": 12,

  606.                     "y": 18

  607.                 },

  608.                 "name": "checkpoint 写文件时间分布",

  609.                 "options": {

  610.                     "legend": {

  611.                         "displayMode": "hidden"

  612.                     },

  613.                     "standardOptions": {

  614.                         "util": "milliseconds"

  615.                     },

  616.                     "thresholds": {

  617.                         "steps": [

  618.                             {

  619.                                 "color": "#634CD9",

  620.                                 "type": "base",

  621.                                 "value": null

  622.                             }

  623.                         ]

  624.                     },

  625.                     "tooltip": {

  626.                         "mode": "all",

  627.                         "sort": "none"

  628.                     }

  629.                 },

  630.                 "targets": [

  631.                     {

  632.                         "expr": "increase(postgresql_checkpoint_write_time{server=\"$server\",db=\"$db\"}[5m])",

  633.                         "legend": "checkpoint_write_time",

  634.                         "refId": "A"

  635.                     },

  636.                     {

  637.                         "expr": "increase(postgresql_checkpoint_sync_time{server=\"$server\",db=\"$db\"}[5m])",

  638.                         "legend": "checkpoint_sync_time",

  639.                         "refId": "B"

  640.                     }

  641.                 ],

  642.                 "type": "timeseries",

  643.                 "version": "2.0.0"

  644.             },

  645.             {

  646.                 "custom": {

  647.                     "drawStyle": "lines",

  648.                     "fillOpacity": 0.3,

  649.                     "gradientMode": "opacity",

  650.                     "lineInterpolation": "smooth",

  651.                     "lineWidth": 2,

  652.                     "stack": "off"

  653.                 },

  654.                 "datasourceCate": "prometheus",

  655.                 "datasourceValue": "${datasource}",

  656.                 "description": "buffers_checkpoint: checkpoint写数据块数量\nbuffers_clean：bgwriter写入数据块的数量\nbuffers_backend:通过backend写入的块数量, 此值过大，代表shared buffer没有维护好，后端进程不得不自己去进行刷盘的动作\nbuffers_backend_fsync: backend需要fsync的次数\n",

  657.                 "id": "af9e2a7f-ce09-4de2-8625-e779c770d46d",

  658.                 "layout": {

  659.                     "h": 5,

  660.                     "i": "23b6fc64-1a19-422e-b28e-453570af339c",

  661.                     "isResizable": true,

  662.                     "w": 24,

  663.                     "x": 0,

  664.                     "y": 23

  665.                 },

  666.                 "name": "数据块写入分布",

  667.                 "options": {

  668.                     "legend": {

  669.                         "displayMode": "hidden"

  670.                     },

  671.                     "standardOptions": {

  672.                         "util": "none"

  673.                     },

  674.                     "thresholds": {

  675.                         "steps": [

  676.                             {

  677.                                 "color": "#634CD9",

  678.                                 "type": "base",

  679.                                 "value": null

  680.                             }

  681.                         ]

  682.                     },

  683.                     "tooltip": {

  684.                         "mode": "all",

  685.                         "sort": "none"

  686.                     }

  687.                 },

  688.                 "targets": [

  689.                     {

  690.                         "expr": "increase(postgresql_buffers_checkpoint{server=\"$server\",db=\"$db\"}[5m])",

  691.                         "legend": "buffers_checkpoint",

  692.                         "refId": "A"

  693.                     },

  694.                     {

  695.                         "expr": "increase(postgresql_buffers_clean{server=\"$server\",db=\"$db\"}[5m])",

  696.                         "legend": "buffers_clean",

  697.                         "refId": "B"

  698.                     },

  699.                     {

  700.                         "expr": "increase(postgresql_buffers_backend{server=\"$server\",db=\"$db\"}[5m])",

  701.                         "legend": "buffers_backend",

  702.                         "refId": "C"

  703.                     },

  704.                     {

  705.                         "expr": "increase(postgresql_buffers_backend_fsync{server=\"$server\",db=\"$db\"}[5m])",

  706.                         "legend": "buffers_backend_fsync",

  707.                         "refId": "D"

  708.                     }

  709.                 ],

  710.                 "type": "timeseries",

  711.                 "version": "2.0.0"

  712.             }

  713.         ],

  714.         "var": [

  715.             {

  716.                 "definition": "prometheus",

  717.                 "name": "datasource",

  718.                 "type": "datasource"

  719.             },

  720.             {

  721.                 "datasource": {

  722.                     "cate": "prometheus",

  723.                     "value": "${datasource}"

  724.                 },

  725.                 "definition": "label_values(postgresql_datid,server)",

  726.                 "name": "server",

  727.                 "type": "query"

  728.             },

  729.             {

  730.                 "datasource": {

  731.                     "cate": "prometheus",

  732.                     "value": "${datasource}"

  733.                 },

  734.                 "definition": "label_values(postgresql_datid{server=\"$server\"},db)",

  735.                 "name": "db",

  736.                 "type": "query"

  737.             }

  738.         ],

  739.         "version": "3.0.0"

  740.     },

  741.     "public": 0,

  742.     "public_cate": 0,

  743.     "bgids": null,

  744.     "built_in": 0,

  745.     "hide": 0,

  746.     "uuid": 1717556328244926000

  747. }