只是跟進這難得的機會,可能在被其他用戶絆倒。我決定JSON絕對是前進的方向。每一分鐘我都有一個系統產生如下的JSON文件。
{
"DataDTS" : "2014.05.02-09:00",
"System" : "Performance Test",
"SourceServer" : "gb02qws122debx7",
"OldestData" : "2014.05.02-09:00",
"MetricData" : {
"FredHopper Direct" : {
"Small" : "FH",
"Type" : "ByMinute",
"HeaderLevels" : 1,
"Data": { "Failures":0, "Avg":"0.318", "Min":"0.306", "Max":"0.340" }
},
"Performance By Instance" : {
"Small" : "RATE",
"Type" : "ByMinute",
"HeaderLevels" : 2,
"Sections" : {
"102.01" : { "Attributes" : ["(20)"], "Data": { "Req":"999", "Avg Resp":"0.254" } },
"102.02" : { "Attributes" : ["(20)"], "Data": { "Req":"144", "Avg Resp":"0.376" } },
"103.01" : { "Attributes" : ["(20)"], "Data": { "Req":"168", "Avg Resp":"0.199" } },
"103.02" : { "Attributes" : ["(20)"], "Data": { "Req":"152", "Avg Resp":"0.283" } },
"Unallocated" : { "Attributes": [], "Data": {"Req":"87", "Avg Resp":"0.154"} },
"qws122" : { "Attributes": [], "Data": {"Tot Req":"460", "Rate PPS":"7.7"} }
}
},
"HTML Status" : {
"Small" : "HTML",
"Type" : "Status",
"HeaderLevels" : 1,
"Data" : [
{ "Code":"200", "Req":447 },
{ "Code":"206", "Req":1 },
{ "Code":"301", "Req":7 },
{ "Code":"302", "Req":5 },
{ "Code":"TOT", "Req":460 }
]
},
"Page Breakdown" : {
"Small" : "PB",
"Type" : "Status",
"HeaderLevels" : 2,
"Sections" : {
"Top 15 Average Response Times" : {
"Attributes": [],
"Data" : [
{ "URL":"men", "Req":1, "Avg Resp":"3.597", "Cached":"0.0%" },
{ "URL":"jacques-vert", "Req":1, "Avg Resp":"3.335", "Cached":"0.0%" },
{ "URL":"OrderOKView", "Req":1, "Avg Resp":"1.615", "Cached":"0.0%" },
{ "URL":"warehouse", "Req":1, "Avg Resp":"1.050", "Cached":"0.0%" }
]
},
"Top 15 Requests" : {
"Attributes": [],
"Data" : [
{ "URL":"Navigate", "Req":220, "Avg Resp":"0.372", "Cached":"26.4%" },
{ "URL":"prod", "Req":42, "Avg Resp":"0.186", "Cached":"13.5%" },
{ "URL":"sureroute-test-object.html", "Req":24, "Avg Resp":"0.001", "Cached":"0.0%" },
{ "URL":"TopCategories1", "Req":8, "Avg Resp":"0.032", "Cached":"0.0%" }
]
}
}
},
"App server CPU" : {
"Small" : "CPU",
"Type" : "ByMinute",
"HeaderLevels" : 2,
"Sections" : {
"qap302" : { "Attributes" : ["Ent:7.0", "Max:8.0", "Mem:32768MB", "Wgt:200"], "Data": { "usr%":"16.8", "iow%":"1.4", "phy":"1.8", "ent%":"25.1" } },
"qap312" : { "Attributes" : ["Ent:7.0", "Max:8.0", "Mem:32768MB", "Wgt:200"], "Data": { "usr%":"8.1", "iow%":"0.1", "phy":"0.8", "ent%":"11.0" } }
}
}
}
JSON絕對是要走的路 - 或者XML也許如果你發現這個更適合從服務器命令行pov讀取。最好的選擇恕我直言將是一個數據庫,但一個簡單的表,一個字段pr值加上一個id和一個時間戳。看看'dojo.data.ItemFileReadStore'或'dojox.data.JsonRestStore' – mschr 2012-08-07 11:55:30
顯示你的數據片段,告訴哪個服務器的語言/ http守護進程的目標等等,所以人工智能可以得到更好的主意 – mschr 2012-08-07 11:59:07