How graceful shutdown or resource clean up happens in Flink at task level ?

Let's assume I have following class : public class TestFlatMap extends RichFlatMapFunction { private Connection connection ; @Override public void open(Configuration parameters) throws Exception { super.open(parameters); //

Re: Correlation between data streams/operators and threads

Thanks for your time in helping me here. So as long as the parallelism of my kafka source and sink operators is 1, all the subsequent operators (multiple filters to create multiple streams, and then individual CEP and Process operators per stream) will be executed in the same task slot? I cannot

Docker and AWS taskmanager configuration

Hi, We noticed that we couldn't parallelize our flink docker containers and this looks like an issue that other have experienced. In our environment we were not setting any hostname in the flink configuration. This worked for the single node, but it looks like the taskmanagers would have the

Re: Hive integration in table API and SQL

Hi Timo, Thanks for your reply. I do notice that the document says "A Table is always bound to a specific TableEnvironment. It is not possible to combine tables of different TableEnvironments in the same query, e.g., to join or union them.” Does that mean there is no way I can make operations,

Re: Problem with SQL-API and nested objects in case class

Hey Timo, thanks for your warm welcome and for creating a ticket to fix this! My scenario is the following: I receive different JSON entities from an AMQP queue. I have a source to collect the events, after that I parse them into the different internal case classes and split the stream via the

Re: Apache Flink - Question about TriggerResult.FIRE

Hi Mans, For understanding the difference between FIRE and FIRE_AND_PURGE it's helpful to look at the cases where it really makes a difference. In my opinion this only makes a difference when you have event-time windowing and when you have multiple firing for the same window (i.e. multiple

Re: Hive integration in table API and SQL

Hi Wangsan, yes, the Hive integration is limited so far. However, we provide an external catalog feature [0] that allows you to implement custom logic to retrieve Hive tables. I think it is not possible to do all you operations in Flink's SQL API right now. For now, I think you need to

Re: Flink session on yarn

Hi Nishu, did you compile Flink from sources as recommended here [1]? Regards, Federico [1] https://ci.apache.org/projects/flink/flink-docs- release-1.3/setup/building.html#vendor-specific-versions 2017-11-20 13:53 GMT+01:00 Nishu : > Hi, > > I am trying to start flink

Re: Flink session on yarn

Hi, instead of using the RequestHedgingRMFailoverProxyProvider you could try to use the org.apache.hadoop.yarn.client.ConfiguredRMFailoverProxyProvider. You can configure this in the YARN configs => yarn.client.failover-proxy-provider. Kind regards, Thomas On 11/20/2017 01:53 PM, Nishu wrote:

Flink session on yarn

Hi, I am trying to start flink session(v1.3.2) on yarn(v 2.7) on HDInsight cluster. But it throws following error: *Error while deploying YARN cluster: Couldn't deploy Yarn cluster* *java.lang.RuntimeException: Couldn't deploy Yarn cluster* *at

Hive integration in table API and SQL

Hi all， I am currently learning table API and SQL in Flink. I noticed that Flink does not support Hive tables as table source, and even JDBC table source are not provided. There are cases we do need to join a stream table with static Hive or other database tables to get more specific

Re: Apache Flink - Question about TriggerResult.FIRE

Hi, > > "In the first case, it is a new window without the previous elements, in the > second case the window reflects the old contents plus all changes since the > last trigger." > > I am assuming the first case is FIRE and second case is FIRE_AND_PURGE - I > was thinking that in the first

Single Source of Truth for States among Multiple Process Functions

We have a flink job containing almost 20 process functions (map, flatMap, process, filter, etc.) The state dependencies among those process functions are very complex: * Shared states are several key-value maps. * Different functions share different states. * Functions may query and

Re: Problem with SQL-API and nested objects in case class

Hi, thanks for writing on the mailling list. I could reproduce your error and opened an issue for it (https://issues.apache.org/jira/browse/FLINK-8107). UNNEST currently only supports unnesting and joining an array of the same relation. However joining of two relations will be supported soon