Flink 1.9 Blink planner 时间字段问题

Wed, 04 Sep 2019 23:24:42 -0700 

代码里定义了kafka connectorDescriptor , 从kafka读取json格式数据, 生成Table
schema
.field("_rowtime", Types.SQL_TIMESTAMP())
.rowtime(
new Rowtime()
.timestampsFromField("eventTime")
.watermarksPeriodicBounded(1000))
kafka输入:  {"eventTime": 100000, "id":1,"name":"hb"}  会报错,

输入  {"eventTime": "2019-09-02T09:56:16.484Z", "id":1,"name":"hb"} 结果显示正确,
eventTime 字段怎么不支持数值输入呢.


错误提示:
```
Caused by: java.lang.Exception: java.io.IOException: Failed to deserialize JSON 
object.
at 
org.apache.flink.streaming.runtime.tasks.SourceStreamTask$LegacySourceFunctionThread.checkThrowSourceExecutionException(SourceStreamTask.java:212)
at 
org.apache.flink.streaming.runtime.tasks.SourceStreamTask.performDefaultAction(SourceStreamTask.java:132)
at org.apache.flink.streaming.runtime.tasks.StreamTask.run(StreamTask.java:298)
at 
org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:403)
at org.apache.flink.runtime.taskmanager.Task.doRun(Task.java:705)
at org.apache.flink.runtime.taskmanager.Task.run(Task.java:530)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.io.IOException: Failed to deserialize JSON object.
at 
org.apache.flink.formats.json.JsonRowDeserializationSchema.deserialize(JsonRowDeserializationSchema.java:129)
at 
org.apache.flink.formats.json.JsonRowDeserializationSchema.deserialize(JsonRowDeserializationSchema.java:72)
at 
org.apache.flink.streaming.connectors.kafka.internals.KafkaDeserializationSchemaWrapper.deserialize(KafkaDeserializationSchemaWrapper.java:45)
at 
org.apache.flink.streaming.connectors.kafka.internal.Kafka09Fetcher.runFetchLoop(Kafka09Fetcher.java:146)
at 
org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumerBase.run(FlinkKafkaConsumerBase.java:715)
at 
org.apache.flink.streaming.api.operators.StreamSource.run(StreamSource.java:100)
at 
org.apache.flink.streaming.api.operators.StreamSource.run(StreamSource.java:63)
at 
org.apache.flink.streaming.runtime.tasks.SourceStreamTask$LegacySourceFunctionThread.run(SourceStreamTask.java:202)
Caused by: java.time.format.DateTimeParseException: Text '100000' could not be 
parsed at index 0
at 
java.time.format.DateTimeFormatter.parseResolved0(DateTimeFormatter.java:1949)
at java.time.format.DateTimeFormatter.parse(DateTimeFormatter.java:1777)
at 
org.apache.flink.formats.json.JsonRowDeserializationSchema.lambda$createTimestampConverter$1dee6515$1(JsonRowDeserializationSchema.java:334)
at 
org.apache.flink.formats.json.JsonRowDeserializationSchema.lambda$wrapIntoNullableConverter$d586c97$1(JsonRowDeserializationSchema.java:232)
at 
org.apache.flink.formats.json.JsonRowDeserializationSchema.convertField(JsonRowDeserializationSchema.java:403)
at 
org.apache.flink.formats.json.JsonRowDeserializationSchema.lambda$assembleRowConverter$77f7700$1(JsonRowDeserializationSchema.java:382)
at 
org.apache.flink.formats.json.JsonRowDeserializationSchema.lambda$wrapIntoNullableConverter$d586c97$1(JsonRowDeserializationSchema.java:232)
at 
org.apache.flink.formats.json.JsonRowDeserializationSchema.deserialize(JsonRowDeserializationSchema.java:127)
... 7 more
```




源码:
```
  val env = StreamExecutionEnvironment.getExecutionEnvironment
  val conf = 
EnvironmentSettings.newInstance().useBlinkPlanner().inStreamingMode().build()
  val tEnv = StreamTableEnvironment.create(env, conf)
  env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime)


  val kafkaIn = new Kafka()
    .version("0.11")
    .topic("hbtest111")
    .property("bootstrap.servers", "192.168.1.160:19092")
    .property("group.id", "test2")


  val json = new Json().deriveSchema()


  val schema = new Schema()
    .field("id", Types.INT())
    .field("name", Types.STRING())


  schema.field("_proctime", Types.SQL_TIMESTAMP()).proctime()
  schema
    .field("_rowtime", Types.SQL_TIMESTAMP())
    .rowtime(
      new Rowtime()
        .timestampsFromField("eventTime")
        .watermarksPeriodicBounded(1000)
    )


  
tEnv.connect(kafkaIn).withFormat(json).withSchema(schema).inAppendMode().registerTableSource("table_from_kafka")
  val t = tEnv.sqlQuery("select * from table_from_kafka")
  t.printSchema()


  t.toRetractStream[Row].print()
  tEnv.execute("")
```

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