Reg. custom sink for Flink streaming

classic Classic list List threaded Threaded
3 messages Options
Reply | Threaded
Open this post in threaded view
|

Reg. custom sink for Flink streaming

Sandeep Vakacharla

Hi there,

 

I have the following use case-

 

I have data coming from Kafka which I need to stream and write each message to a database. I’m using kafka-flink connector for streaming data from Kafka. I don’t want to use flink sinks to write date from stream.

 

I’m doing the following which doesn’t seem to work-

 

messageStream
        .rebalance()
        .map(new MapFunction<String, Object>() {
            @Override
            public String map(String value) {
                getDbSession().execute("insert into TABLE_XXX (key, event_timeuuid, data) " +
                        "VALUES ("+ i+",null, value); ");
                return value;
            }
        })

 

How can I iterate over each message in the stream and do something with that message?

 

Thanks

 

Information contained in this e-mail message is confidential. This e-mail message is intended only for the personal use of the recipient(s) named above. If you are not an intended recipient, do not read, distribute or reproduce this transmission (including any attachments). If you have received this email in error, please immediately notify the sender by email reply and delete the original message.
Reply | Threaded
Open this post in threaded view
|

Link read avro from Kafka Connect Issue

Will Du
Hi folks,
I am trying to consume avro data from Kafka in Flink. The data is produced by Kafka connect using AvroConverter. I have created a AvroDeserializationSchema.java used by Flink consumer. Then, I use following code to read it.

public static void main(String[] args) throws Exception {
              StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
              Properties properties = new Properties();
              properties.setProperty("bootstrap.servers", “localhost:9092");
              properties.setProperty("zookeeper.connect", “localhost:2181”);
Schema schema = new Parser().parse("{" + "\"name\": \"test\", "
                                   + "\"type\": \"record\", "
                                   + "\"fields\": "
                                   +" [ "
                                   + "  { \"name\": \"name\", \"type\": \"string\" },"
                                   + "  { \"name\": \"symbol\", \"type\": \"string\" },"
                                   + "  { \"name\": \"exchange\", \"type\": \"string\"}"
                                   + "] "
                                   +"}");

              AvroDeserializationSchema avroSchema = new AvroDeserializationSchema<>(schema);
              FlinkKafkaConsumer09<GenericRecord> kafkaConsumer = 
               new FlinkKafkaConsumer09<>("myavrotopic",avroSchema, properties);
              DataStream<GenericRecord> messageStream = env.addSource(kafkaConsumer);
              messageStream.rebalance().print();
              env.execute("Flink AVRO KAFKA Test");
}

Once, I run the code, I am able to get the schema information only as follows.
{"name":"", "symbol":"", "exchange":""}
{"name":"", "symbol":"", "exchange":""}
{"name":"", "symbol":"", "exchange":""}
{"name":"", "symbol":"", "exchange":”"}

Could anyone help to find out the issues why I cannot decode it?

Further troubleshooting, I found out if I use a kafka producer here to send the avro data especially using kafka.serializer.DefaultEncoder. Above code can get correct result. Does any body know how to either set DefaultEncoder in Kafka Connect or set it when writing customized kafka connect? Or in the other way, how should I modify the AvroDeserializationSchema.java for instead?

Thanks, I’ll post this to the Kafka user group as well.
Will




Reply | Threaded
Open this post in threaded view
|

Re: Reg. custom sink for Flink streaming

Fabian Hueske-2
In reply to this post by Sandeep Vakacharla
Hi,

a MapFunction should be the way to go for this use case.
What exactly is not working? Do you get an exception? Is the map method not called?

Best, Fabian

2016-11-03 0:00 GMT+01:00 Sandeep Vakacharla <[hidden email]>:

Hi there,

 

I have the following use case-

 

I have data coming from Kafka which I need to stream and write each message to a database. I’m using kafka-flink connector for streaming data from Kafka. I don’t want to use flink sinks to write date from stream.

 

I’m doing the following which doesn’t seem to work-

 

messageStream
        .rebalance()
        .map(new MapFunction<String, Object>() {
            @Override
            public String map(String value) {
                getDbSession().execute("insert into TABLE_XXX (key, event_timeuuid, data) " +
                        "VALUES ("+ i+",null, value); ");
                return value;
            }
        })

 

How can I iterate over each message in the stream and do something with that message?

 

Thanks

 

Information contained in this e-mail message is confidential. This e-mail message is intended only for the personal use of the recipient(s) named above. If you are not an intended recipient, do not read, distribute or reproduce this transmission (including any attachments). If you have received this email in error, please immediately notify the sender by email reply and delete the original message.