【问题标题】:Telegraf unsupported type problem when using inputs.tail with data format csv使用数据格式为csv的inputs.tail时出现Telegraf不支持的类型问题
【发布时间】:2020-06-03 09:49:45
【问题描述】:

我正在尝试使用 Telegraf 和 inputs.tail 将 CSV 数据导入 InfluxDB。对于几个应用程序它可以工作,但对于一个我得到“不支持的类型”。有谁知道怎么查到详情? Debug就不多说了。它可能与时间戳格式有关。时间戳可以是例如 20200601070000 所以在/etc/telegraf/telegraf.conf 我配置了

csv_timestamp_format = “20060102150405”

这是一种有效的格式吗?我试过把它放在 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

【问题讨论】:

    标签: csv influxdb telegraf


    【解决方案1】:

    时间戳的列类型应该是“字符串”。从“int”更改为“string”后,数据被读入 InfluxDB,没有“不支持的类型”错误。

    【讨论】:

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