使用kafka connect spooldir连接器分析kafka connect中dd.mm.yyyy格式的日期

5ktev3wc  于 2021-06-06  发布在  Kafka
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我正在尝试使用来自的spooldircsvsourceconnectorhttps://github.com/jcustenborder/kafka-connect-spooldir
Kafka的连接器配置如下:

connector.class=com.github.jcustenborder.kafka.connect.spooldir.SpoolDirCsvSourceConnector
csv.first.row.as.header=true
finished.path=/csv/finished
tasks.max=1
parser.timestamp.date.formats=[dd.MM.yyyy, yyyy-MM-dd'T'HH:mm:ss, yyyy-MM-dd' 'HH:mm:ss]
key.schema={"name":"com.github.jcustenborder.kafka.connect.model.Key","type":"STRUCT","isOptional":false,"fieldSchemas":{}}
csv.separator.char=59
input.file.pattern=umsaetze_.*.csv
topic=test-csv
error.path=/csv/error
input.path=/csv/input
value.schema={"name":"com.github.jcustenborder.kafka.connect.model.Value","type":"STRUCT","isOptional":false,"fieldSchemas":{"Buchungstag":{"name":"org.apache.kafka.connect.data.Timestamp","type":"INT64","version":1,"isOptional":true},"Wertstellung":{"name":"org.apache.kafka.connect.data.Timestamp","type":"INT64","version":1,"isOptional":true},"Vorgang":{"type":"STRING","isOptional":false},"Buchungstext":{"type":"STRING","isOptional":false},"Umsatz":{"name":"org.apache.kafka.connect.data.Decimal","type":"BYTES","version":1,"parameters":{"scale":"2"},"isOptional":true}}}

值架构如下:

{
  "name": "com.github.jcustenborder.kafka.connect.model.Value",
  "type": "STRUCT",
  "isOptional": false,
  "fieldSchemas": {
    "Buchungstag": {
      "name": "org.apache.kafka.connect.data.Date",
      "type": "INT32",
      "version": 1,
      "isOptional": true
    },
    "Wertstellung": {
      "name": "org.apache.kafka.connect.data.Timestamp",
      "type": "INT64",
      "version": 1,
      "isOptional": true
    },
    "Vorgang": {
      "type": "STRING",
      "isOptional": false
    },
    "Buchungstext": {
      "type": "STRING",
      "isOptional": false
    },
    "Umsatz": {
      "name": "org.apache.kafka.connect.data.Decimal",
      "type": "BYTES",
      "version": 1,
      "parameters": {
        "scale": "2"
      },
      "isOptional": true
    }
  }
}

我试过用日期代替时间戳

{
  "name" : "org.apache.kafka.connect.data.Date",
  "type" : "INT32",
  "version" : 1,
  "isOptional" : true
}

时间戳和日期对我来说都不起作用,除了buchungstag和wertstellung字段的例子。我想用期权来解决这个问题 parser.timestamp.date.formats 但没用。
下面是我试图导入Kafka的csv示例:

Buchungstag;Wertstellung;Vorgang;Buchungstext;Umsatz;
08.02.2019;08.02.2019;Lastschrift / Belastung;Auftraggeber: BlablaBuchungstext: Fahrschein XXXXXX Ref. U3436346/8423;-55,60;
08.02.2019;08.02.2019;Lastschrift / Belastung;Auftraggeber: Bank AGBuchungstext: 01.02.209:189,34 Ref. ZMKDVSDVS/5620;-189,34;

我在Kafka连接中遇到以下异常:

org.apache.kafka.connect.errors.ConnectException: org.apache.kafka.connect.errors.DataException: Exception thrown while parsing data for 'Buchungstag'. linenumber=2
    at com.github.jcustenborder.kafka.connect.spooldir.AbstractSourceTask.read(AbstractSourceTask.java:277)
    at com.github.jcustenborder.kafka.connect.spooldir.AbstractSourceTask.poll(AbstractSourceTask.java:144)
    ... 10 more
Caused by: org.apache.kafka.connect.errors.DataException: Could not parse '08.02.2019' to 'Date'
    at com.github.jcustenborder.kafka.connect.utils.data.Parser.parseString(Parser.java:113)
    ... 11 more
Caused by: java.lang.IllegalStateException: Could not parse '08.02.2019' to java.util.Date
    at com.google.common.base.Preconditions.checkState(Preconditions.java:588)
    ... 12 more

你知道应该有什么样的值模式来解析像01.01.2001这样的日期吗?

bqf10yzr

bqf10yzr1#

我想问题出在你的 parser.timestamp.date.formats 价值观。你通过了吗 [dd.MM.yyyy, yyyy-MM-dd'T'HH:mm:ss, yyyy-MM-dd' 'HH:mm:ss] .
在属性的配置中( parser.timestamp.date.formats )设置为 List 类型。列表应作为带逗号分隔符的字符串传递( , ). 在您的情况下,应该是: dd.MM.yyyy,yyyy-MM-dd'T'HH:mm:ss,yyyy-MM-dd' 'HH:mm:ss . 问题可能出在空格上,因为它们被修剪了。

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