当使用数据格式为csv的inputs.tail时，Telegraf不支持的类型问题

Question

我正在尝试使用Telegraf和input.tail将CSV数据导入InfluxDB。对于一些应用程序，它可以工作，但是对于一个应用程序，我会得到“不受支持的类型”。有人知道如何找出细节吗？调试并没有说太多。它可能与时间戳格式有关。时间戳可以是例如20200601070000，因此在/etc/telegraf/telegraf.conf我已配置

csv_timestamp_format = “20060102150405”

这是有效格式吗？我尝试将其放在Go的“参考时间”中。

来自日志文件的示例：

2020-06-01T07:30:00Z E! [inputs.tail] Malformed log line in “/var/log/metrics.csv”: [“20200601071500,app_01,900,f,6,0,2,0,4,4,0,2,0,0,2,2,2,170,1010,0,2,0,0,1,0,0,0,1,1,0,0,15,18,11,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.011111111,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0”]: unsupported type

摘录自/etc/telegraf/telegraf.conf：

csv_column_types = [“int”,“string”,“int”,“string”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”,“float”]
csv_timestamp_column = “timestamp”
csv_timestamp_format = “20060102150405”

最好的问候，安德烈亚斯

Answer 1

时间戳的列类型应为“字符串”。从“ int”更改为“ string”后，数据被读入InfluxDB，而没有“ unsupported type”错误。