[
https://issues.apache.org/jira/browse/FLINK-7367?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16125280#comment-16125280
]
ASF GitHub Bot commented on FLINK-7367:
---------------------------------------
Github user bowenli86 commented on the issue:
https://github.com/apache/flink/pull/4473
@tzulitai it's failing on
```
The implementation of the RichSinkFunction is not serializable. The object
probably contains or references non serializable fields.
org.apache.flink.api.java.ClosureCleaner.clean(ClosureCleaner.java:100)
org.apache.flink.streaming.api.environment.StreamExecutionEnvironment.clean(StreamExecutionEnvironment.java:1548)
org.apache.flink.streaming.api.datastream.DataStream.clean(DataStream.java:183)
org.apache.flink.streaming.api.datastream.DataStream.addSink(DataStream.java:1131)
```
FYI, I merged this PR into my 1.3.2 source code.
> Parameterize more configs for FlinkKinesisProducer (RecordMaxBufferedTime,
> MaxConnections, RequestTimeout, etc)
> ---------------------------------------------------------------------------------------------------------------
>
> Key: FLINK-7367
> URL: https://issues.apache.org/jira/browse/FLINK-7367
> Project: Flink
> Issue Type: Bug
> Components: Kinesis Connector
> Affects Versions: 1.3.0
> Reporter: Bowen Li
> Assignee: Bowen Li
> Fix For: 1.4.0, 1.3.3
>
>
> Right now, FlinkKinesisProducer only expose two configs for the underlying
> KinesisProducer:
> - AGGREGATION_MAX_COUNT
> - COLLECTION_MAX_COUNT
> Well, according to [AWS
> doc|http://docs.aws.amazon.com/streams/latest/dev/kinesis-kpl-config.html]
> and [their sample on
> github|https://github.com/awslabs/amazon-kinesis-producer/blob/master/java/amazon-kinesis-producer-sample/default_config.properties],
> developers can set more to make the max use of KinesisProducer, and make it
> fault-tolerant (e.g. by increasing timeout).
> I select a few more configs that we need when using Flink with Kinesis:
> - MAX_CONNECTIONS
> - RATE_LIMIT
> - RECORD_MAX_BUFFERED_TIME
> - RECORD_TIME_TO_LIVE
> - REQUEST_TIMEOUT
> Flink is using KPL's default values. They make Flink writing too fast to
> Kinesis, which fail Flink job too frequently. We need to parameterize
> FlinkKinesisProducer to pass in the above params, in order to slowing down
> Flink's write rate to Kinesis.
--
This message was sent by Atlassian JIRA
(v6.4.14#64029)
