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我們在同一臺機器上有一個與Collectd和InfluxDB的測試環境。 一切正常，直到我們添加一個Python Collectd插件。 當一個Python插件調度，我們得到以下錯誤日誌從InfluxDB值：InfluxDB：Collectd解析錯誤：無效數據服務= collectd
Jan 26 10:00:24 influxdb influxd: [I] 2017-01-26T09:00:24Z Collectd parse error: invalid data service=collect
我們的設置： Collectd 5.6 InfluxDB 1.2。
Collectd的Python插件配置：
<LoadPlugin python>
Globals true
</LoadPlugin>
<Plugin python>
ModulePath "/opt/python-collectd"
LogTraces true
Interactive false
Import "randomtest"
</Plugin>
Collectd網絡配置：
LoadPlugin network
<Plugin network>
Server "localhost" "25826"
</Plugin>
的 「randomtest」
import collectd
import random
def configer(confObj):
collectd.info('config called')
def init_fun():
collectd.info('init called')
def reader(input_data=None):
value = collectd.Values()
value.plugin = 'test_plugin'
value.host = 'test-host'
value.interval = 10
value.type = 'absolute'
value.type_instance = 'test'
value.values = [random.randint(0,10)]
value.dispatch()
collectd.register_config(configer)
collectd.register_init(init_fun)
collectd.register_read(reader)
InfluxDB源collectd配置：
[[collectd]]
enabled = true
bind-address = ":25826"
database = "collectd"
retention-policy = ""
typesdb = "/usr/share/collectd/types.db"
# These next lines control how batching works. You should have this enabled
# otherwise you could get dropped metrics or poor performance. Batching
# will buffer points in memory if you have many coming in.
# Flush if this many points get buffered
batch-size = 5000
# Number of batches that may be pending in memory
batch-pending = 10
# Flush at least this often even if we haven't hit buffer limit
batch-timeout = "10s"
# UDP Read buffer size, 0 means OS default. UDP listener will fail if set above OS max.
read-buffer = 0
只是爲了澄清： 如果我評論導入「randomtest」出在Collectd蟒蛇配置一切似乎再正常工作。 我們也查看了tcpdumps，但是我們沒有注意到Python Collectd插件和其他Collectd插件之間的區別。