每隔5分钟收集一次，石墨import数据，而不是1分钟

我对石墨有点新鲜感，所以请耐心等待。 我正在寻找一个大的，相当笨重的仙人掌安装的替代品，所以我一直在玩石墨。 我们通过SNMP提取大量数据，所以我也下载，编译并安装了collectd，将SNMP数据导入到石墨中。

我已经在collectd中设置了一个简单的查询来获取当前的eth0input/输出计数器。 我正在寻找一分钟的分辨率，之后是5分钟，所以我的storage-schemas.conf如下所示：

 [carbon] pattern = ^carbon\. retentions = 60:90d [default] pattern = .* retentions = 60s:1w, 5m:1y 

同样，在collectd.conf我已经设置了以下内容：

 <Plugin snmp> <Data "std_traffic"> Type "if_octets" Table true Instance "IF-MIB::ifDescr" Values "IF-MIB::ifInOctets" "IF-MIB::ifOutOctets" </Data> <Host "lonsbrndlb01"> Address "lonsbrndlb01" Version 2 Community "public" Collect "std_traffic" Interval 60 </Host> </Plugin> 

这几乎完美的作品。 键出现在石墨中，数据进入。

• 如果/ opt的日志进入/ var / opt或/ var / log？
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• 石墨图表可以从多个来源获得平均值吗？
• 石墨不运行

唯一的问题是，数据是一个计数器，而不是每分钟的速度。 我可以通过使用derivative函数来解决这个问题，这个函数据说可以把计数器变成每分钟的速率。 但是，这样做，我看到这个图：

这是相当明显的，数据只是每5分钟到达一次，而不是每隔60秒钟。 为什么是这样？ 我以为我会在collectd和graphite中设置正确的值，所以我觉得我在某处丢失了某些东西。

编辑

关于这个的一些更多的数据，因为它可能是有用的。

我正在使用的公式只是derivative(lonsbrndlb01.snmp.if_octets-eth0.tx)和derivative(lonsbrndlb01.snmp.if_octets-eth0.rx) ，虽然我现在已经切换到使用nonNegativeDerivative因为计数器翻转。 我也更新了下面的图片来给人一种规模感。

在rx.wsp文件上运行whisper-dump.py会给出一个标题：

 Meta data: aggregation method: average max retention: 31536000 xFilesFactor: 0.5 Archive 0 info: offset: 40 seconds per point: 60 points: 10080 retention: 604800 size: 120960 Archive 1 info: offset: 121000 seconds per point: 300 points: 105120 retention: 31536000 size: 1261440 

其次是约2.4M的数据。

附加&format=json的图表数据是：

 [{"target": "nonNegativeDerivative(lonsbrndlb01.snmp.if_octets-eth0.rx)", "datapoints": [[null, 1342597800], [26346975.0, 1342597860], [35197821.0, 1342597920], [138121.0, 1342597980], [108605.0, 1342598040], [690712.0, 1342598100], [27213713.0, 1342598160], [876898.0, 1342598220], [463897.0, 1342598280], [137499.0, 1342598340], [96980.0, 1342598400], [26237641.0, 1342598460], [35094898.0, 1342598520], [112569.0, 1342598580], [274897.0, 1342598640], [139174.0, 1342598700], [806881.0, 1342598760], [26206311.0, 1342598820], [112298.0, 1342598880], [781205.0, 1342598940], [606872.0, 1342599000], [5184462.0, 1342599060], [61946135.0, 1342599120], [4126005.0, 1342599180], [115908.0, 1342599240], [714159.0, 1342599300], [195738.0, 1342599360], [26261781.0, 1342599420], [100503.0, 1342599480], [751322.0, 1342599540], [930865.0, 1342599600], [230666.0, 1342599660], [59636.0, 1342599720], [62575579.0, 1342599780], [104950.0, 1342599840], [1208886.0, 1342599900], [379369.0, 1342599960], [785827.0, 1342600020], [26215475.0, 1342600080], [221604.0, 1342600140], [351866.0, 1342600200], [231163.0, 1342600260], [211398.0, 1342600320], [70770807.0, 1342600380], [429324.0, 1342600440], [1937893.0, 1342600500], [1476961.0, 1342600560], [72383.0, 1342600620], [371513.0, 1342600680], [29186024.0, 1342600740], [1924055.0, 1342600800], [280068.0, 1342600860], [341216.0, 1342600920], [36643885.0, 1342600980], [26708952.0, 1342601040], [259828.0, 1342601100], [488406.0, 1342601160], [230698.0, 1342601220], [766407.0, 1342601280], [28252848.0, 1342601340]]}, {"target": "nonNegativeDerivative(lonsbrndlb01.snmp.if_octets-eth0.tx)", "datapoints": [[null, 1342597800], [26007032.0, 1342597860], [34808859.0, 1342597920], [100498.0, 1342597980], [91818.0, 1342598040], [649666.0, 1342598100], [26566941.0, 1342598160], [895897.0, 1342598220], [478867.0, 1342598280], [100242.0, 1342598340], [81130.0, 1342598400], [25908859.0, 1342598460], [34659481.0, 1342598520], [75295.0, 1342598580], [285061.0, 1342598640], [103644.0, 1342598700], [824177.0, 1342598760], [25884962.0, 1342598820], [93420.0, 1342598880], [799160.0, 1342598940], [582373.0, 1342599000], [5024696.0, 1342599060], [61269813.0, 1342599120], [3336907.0, 1342599180], [436657.0, 1342599240], [696692.0, 1342599300], [182144.0, 1342599360], [25947578.0, 1342599420], [79011.0, 1342599480], [733857.0, 1342599540], [1015395.0, 1342599600], [184960.0, 1342599660], [48026.0, 1342599720], [61462810.0, 1342599780], [89187.0, 1342599840], [1195360.0, 1342599900], [386772.0, 1342599960], [744445.0, 1342600020], [25913548.0, 1342600080], [201978.0, 1342600140], [344650.0, 1342600200], [199421.0, 1342600260], [208959.0, 1342600320], [69924581.0, 1342600380], [381593.0, 1342600440], [1610764.0, 1342600500], [1484192.0, 1342600560], [41585.0, 1342600620], [373375.0, 1342600680], [28478208.0, 1342600740], [1893711.0, 1342600800], [253921.0, 1342600860], [354558.0, 1342600920], [36199040.0, 1342600980], [26395675.0, 1342601040], [239238.0, 1342601100], [477775.0, 1342601160], [212554.0, 1342601220], [752374.0, 1342601280], [27890202.0, 1342601340]]}] 

这可能是高峰期的数据，但是这个盒子每隔几分钟就无法达到60MB的stream量。