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ASF GitHub Bot commented on FLINK-7367: --------------------------------------- Github user tzulitai commented on the issue: https://github.com/apache/flink/pull/4473 @bowenli86 what is it failing on? AFAIK, the only serialization changes in 1.3.2 compared to 1.3.0 are serialization of some specific `TypeSerializer`s. > 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)