please help with this. Any suggestions.
On Sat, Jun 6, 2020 at 12:20 PM aj <ajainje...@gmail.com> wrote:
> Hello All,
>
> I am receiving a set of events in Avro format on different topics. I want
> to consume these and write to s3 in parquet format.
> I have written a below job that creates a different stream for each event
> and fetches it schema from the confluent schema registry to create a
> parquet sink for an event.
> This is working fine but the only problem I am facing is whenever a new
> event start coming I have to change in the YAML config and restart the job
> every time. Is there any way I do not have to restart the job and it start
> consuming a new set of events.
>
>
> YAML config :
>
> !com.bounce.config.EventTopologyConfig
> eventsType:
> - !com.bounce.config.EventConfig
> event_name: "search_list_keyless"
> schema_subject:
> "search_list_keyless-com.bounce.events.keyless.bookingflow.search_list_keyless"
> topic: "search_list_keyless"
>
> - !com.bounce.config.EventConfig
> event_name: "bike_search_details"
> schema_subject:
> "bike_search_details-com.bounce.events.keyless.bookingflow.bike_search_details"
> topic: "bike_search_details"
>
> - !com.bounce.config.EventConfig
> event_name: "keyless_bike_lock"
> schema_subject:
> "analytics-keyless-com.bounce.events.keyless.bookingflow.keyless_bike_lock"
> topic: "analytics-keyless"
>
> - !com.bounce.config.EventConfig
> event_name: "keyless_bike_unlock"
> schema_subject:
> "analytics-keyless-com.bounce.events.keyless.bookingflow.keyless_bike_unlock"
> topic: "analytics-keyless"
>
>
> checkPointInterval: 1200000
>
> topics: ["search_list_keyless","bike_search_details","analytics-keyless"]
>
>
>
>
>
> *Sink code :*
>
> YamlReader reader = new YamlReader(topologyConfig);
> EventTopologyConfig eventTopologyConfig =
> reader.read(EventTopologyConfig.class);
>
> long checkPointInterval = eventTopologyConfig.getCheckPointInterval();
> topics = eventTopologyConfig.getTopics();
>
> List<EventConfig> eventTypesList =
> eventTopologyConfig.getEventsType();
>
> CachedSchemaRegistryClient registryClient = new
> CachedSchemaRegistryClient(schemaRegistryUrl, 1000);
>
>
> FlinkKafkaConsumer flinkKafkaConsumer = new FlinkKafkaConsumer(topics,
> new KafkaGenericAvroDeserializationSchema(schemaRegistryUrl),
> properties);
>
> DataStream<GenericRecord> dataStream =
> streamExecutionEnvironment.addSource(flinkKafkaConsumer).name("source");
>
> try {
> for (EventConfig eventConfig : eventTypesList) {
>
> LOG.info("creating a stream for ", eventConfig.getEvent_name());
>
> final StreamingFileSink<GenericRecord> sink = StreamingFileSink.forBulkFormat
> (path,
> ParquetAvroWriters.forGenericRecord(SchemaUtils.getSchema(eventConfig.getSchema_subject(),
> registryClient)))
> .withBucketAssigner(new EventTimeBucketAssigner())
> .build();
>
> DataStream<GenericRecord> outStream =
> dataStream.filter((FilterFunction<GenericRecord>) genericRecord -> {
> if (genericRecord != null &&
> genericRecord.get(EVENT_NAME).toString().equals(eventConfig.getEvent_name()))
> {
> return true;
> }
> return false;
> });
>
> outStream.addSink(sink).name(eventConfig.getSink_id()).setParallelism(parallelism);
>
> }
> } catch (Exception e) {
> e.printStackTrace();
> }
>
>
>
>
> --
> Thanks & Regards,
> Anuj Jain
>
>
>
> <http://www.cse.iitm.ac.in/%7Eanujjain/>
>
--
Thanks & Regards,
Anuj Jain
Mob. : +91- 8588817877
Skype : anuj.jain07
<http://www.oracle.com/>
<http://www.cse.iitm.ac.in/%7Eanujjain/>
