Monitor the usage of keyed state

Hi community, I have a Flink job running with RichMapFunction that uses keyed state. Although the TTL is enabled, I wonder if there is a way that I can monitor the memory usage of the keyed state. I'm using RocksDB as the state backend. Best regards, Mu

Re: Kafka Consumer consuming rate suddenly dropped

Hi, Jake, Thanks for offering help. I didn't find anything related to kafka in my tm log. Is there a way to enable the logging, or am I just looking into the wrong place? Thanks in advance. Best regards, Mu

Re: Manual allocation of slot usage

Hi, Song, Guo, We updated our cluster to 1.10.1 and the cluster.evenly-spread-out-slots works pretty well now. Thanks for your help! Best regards, Mu On Wed, Jul 8, 2020 at 9:35 PM Mu Kong wrote: > Hi Song, Guo, > > Thanks for the information. > I will first upgrade our f

Re: Manual allocation of slot usage

ter setting `cluster.evenly-spread-out-slots`, can they be > stably reproduced? > - How many TMs do you have? And how many slots does each TM has? > > > Thank you~ > > Xintong Song > > > [1] https://issues.apache.org/jira/browse/FLINK-12122 > > On Tue

Re: Manual allocation of slot usage

ll because there could be insufficient task managers when > request slot from ResourceManager. This has been discussed in > https://issues.apache.org/jira/browse/FLINK-12122 . > > > Best, > Yangze Guo > > On Tue, Jul 7, 2020 at 5:44 PM Mu Kong wrote: > > > > Hi commun

Manual allocation of slot usage

Hi community, I'm running an application to consume data from kafka, and process it then put data to the druid. I wonder if there is a way where I can allocate the data source consuming process evenly across the task manager to maximize the usage of the network of task managers. So, for example,

Re: Performance issue when writing to HDFS

6 >[2] > http://apache-flink-user-mailing-list-archive.2336050.n4.nabble.com/quot-Slow-ReadProcessor-quot-warnings-when-using-BucketSink-td9427.html > > > --原始邮件 -- > *发件人:*Mu Kong > *发送时间:*Fri May 22 11:16:32 2020 > *收件人:*user > *主题

Re: Enrich streaming data with small lookup data that slowly changes over time

join the data. > > Best, > Jark > > [1]: > https://ci.apache.org/projects/flink/flink-docs-master/dev/table/streaming/joins.html#join-with-a-temporal-table > [2]: > https://ci.apache.org/projects/flink/flink-docs-master/dev/table/streaming/joins.html#join-with-a-temporal-table-fu

Enrich streaming data with small lookup data that slowly changes over time

Hi community, I have a stream of traffic data with a service_id in it. I'm enriching this data with a map of (service_id, service_name), which only has 10 ~ 20 pairs and is read from config file. The problem I'm facing now is, this map changes from time to time, and I don't want to redeploy the

Checkpoint expired before completing with cleanupInRocksdbCompactFilter

Hi community, I'm glad that in Flink 1.8.0, it introduced cleanupInRocksdbCompactFilter to support state clean up for rocksdb backend. We have an application that heavily relies on managed keyed store. As we are using rocksdb as the state backend, we were suffering the issue of ever-growing state

Re: Flink is looking for Kafka topic "n/a"

Hi Gordon, Thanks for your response. I think I've misspoken about the failure after "n/a" exception. The behavior after this exception would be: switched from RUNNING to CANCELING switched from CANCELING to CANCELED Try to restart or fail the job "X" () if no longer

Re: Flink is looking for Kafka topic "n/a"

to find leaders for in > the code and solely used during cancelling the fetcher. > > I don't know whether this is possible, but I suppose there could be more > than one marker and we should call removeAll() instead - @Gordon, can > you elaborate/check whether this could happen? > &

Flink is looking for Kafka topic "n/a"

Hi, I have encountered a wired problem. After I start the job for several days, Flink gave me the following error: *java.lang.RuntimeException: Unable to find a leader for partitions: [Partition: KafkaTopicPartition{topic='n/a', partition=-1}, KafkaPartitionHandle=[n/a,-1], offset=(not set)]* *

Re: Regarding BucketingSink

ally clean up older pending files. >>>> >>>> Best, >>>> Aljoscha >>>> >>>> >>>> On 19. Feb 2018, at 16:37, Till Rohrmann <trohrm...@apache.org> wrote: >>>> >>>> Hi Vishal, >>>> >

Re: Regarding BucketingSink

Hi Vishal, I have the same concern about save pointing in BucketingSink. As for your question, I think before the pending files get cleared in handleRestoredBucketState . They are finalized in notifyCheckpointComplete

Re: JobManager doesn't recover in HA mode

e YARN > cluster will be responsible for recovering the dead JM. > > Best, > Tony Wei > > [1] http://supervisord.org/ > > 2018-02-01 14:11 GMT+08:00 Mu Kong <kong.mu@gmail.com>: > >> Hi all, >> >> I have a Flink HA cluster with 2 job managers

JobManager doesn't recover in HA mode

Hi all, I have a Flink HA cluster with 2 job managers and a zookeeper quorum of 3 nodes. My failed job manager didn't get recovered after I killed it. Here is how I didn't it and what I've observed: 1. I started the HA cluster with start-cluster.sh 2. Job manager A got elected. 3. I killed job