Kafka AVRO - 从长到日期时间的转换 [英] Kafka AVRO - conversion from long to datetime

问题描述

当我想发送包含 long 类型字段的 AVRO 消息时，出现以下错误:

I get the following error when I want to send an AVRO message which contains a field that has the type long:

Caused by: org.apache.kafka.common.errors.SerializationException: Error deserializing Avro message for id 61
Caused by: java.lang.ClassCastException: java.lang.Long cannot be cast to org.joda.time.DateTime

我使用 Confluent 3.2.0 和 Apache Spark 2.2.0.这个错误是在处理 AVRO 消息并在控制台中打印它们的 Spark 作业中抛出的.在 AVRO schema 中，对应的字段是这样定义的:

I use Confluent 3.2.0 and Apache Spark 2.2.0. This error is thrown in a Spark Job which processes AVRO messages and prints them in a console. In the AVRO schema, the corresponding field is defined like this:

{\"name\": \"event_time\", \"type\": { \"type\" : \"long\", \"logicalType\": \"timestamp-millis\"}}

在.avsc文件生成的Java类中，字段定义如下:

In the Java class generated from the .avsc file, the field is defined as below:

private DateTime event_time;

推荐答案

我在使用 Confluent 4.0.0 和 Avro 1.8.2 时遇到了类似的问题.我有一个试图将 long 转换为 DateTime 的流处理器.我通过添加正确的转换克服了这个问题.在开始任何处理逻辑之前，我使用了 Specific Data 静态实用程序类并添加正确的逻辑类型转换.

I encountered a similar issue using Confluent 4.0.0 and Avro 1.8.2. I had a stream processor that was attempting to convert a long to a DateTime. I overcame the issue by adding the correct conversion. Before I begin any processing logic, I used the Specific Data static utilities class and adding the correct Logical type conversion.

SpecificData.get().addLogicalTypeConversion(new TimeConversions.TimestampConversion());

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