2021-01-0809:47:31,636INFO
org.apache.flink.runtime.checkpoint.CheckpointCoordinator [] - Checkpoint9of
job 5e953fb772f9030c728e7c0498555ae2 expired before completing.
2021-01-0809:47:31,637INFO org.apache.flink.runtime.jobmaster.JobMaster [] -
Trying to recover from a global failure.
org.apache.flink.util.FlinkRuntimeException: Exceeded checkpoint tolerable
failure threshold.
at
org.apache.flink.runtime.checkpoint.CheckpointFailureManager.handleJobLevelCheckpointException(CheckpointFailureManager.java:66)
~[flink-dist_2.11-1.11.1.jar:1.11.1]
at
org.apache.flink.runtime.checkpoint.CheckpointCoordinator.abortPendingCheckpoint(CheckpointCoordinator.java:1626)
~[flink-dist_2.11-1.11.1.jar:1.11.1]
at
org.apache.flink.runtime.checkpoint.CheckpointCoordinator.abortPendingCheckpoint(CheckpointCoordinator.java:1603)
~[flink-dist_2.11-1.11.1.jar:1.11.1]
at
org.apache.flink.runtime.checkpoint.CheckpointCoordinator.access$600(CheckpointCoordinator.java:90)
~[flink-dist_2.11-1.11.1.jar:1.11.1]
at
org.apache.flink.runtime.checkpoint.CheckpointCoordinator$CheckpointCanceller.run(CheckpointCoordinator.java:1736)
~[flink-dist_2.11-1.11.1.jar:1.11.1]
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
~[?:1.8.0_265]
at java.util.concurrent.FutureTask.run(FutureTask.java:266) ~[?:1.8.0_265]
at
java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201(ScheduledThreadPoolExecutor.java:180)
~[?:1.8.0_265]
at
java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293)
~[?:1.8.0_265]
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
~[?:1.8.0_265]
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
~[?:1.8.0_265]
at java.lang.Thread.run(Thread.java:748) ~[?:1.8.0_265]
转发邮件信息
发件人："旧城以西"
发送日期：2021-01-08 10:12:45
收件人："user-zh@flink.apache.org"
主题：flink on k8s 提交job时如何指定taskmanager的个数
各位大佬好：
目前我使用的flink on k8s session部署的flink 集群，集群里有3个taskmanager，每个taskmanager
有8个slot。我在提交job时，并行度设置的是3，目前job始终都是在一个taskmanager上，造成数据倾斜，每次checkpoint都不能成功。请问各位大佬在flink
on k8s 上有没有类似yarn上的yarnslot 这样的参数来，控制使用taskmanager的个数。
flink taskmanager的配置
jobmanager.rpc.address: flink-jobmanager-svc
jobmanager.rpc.port: 6123
jobmanager.heap.size: 1024m
taskmanager.heap.size: 1024m
taskmanager.numberOfTaskSlots: 8
parallelism.default: 1
high-availability: zookeeper
high-availability.cluster-id: 1
high-availability.storageDir: file:///tmp
high-availability.zookeeper.quorum: zookeeper:2181
zookeeper.sasl.disable: true
classloader.resolve-order: parent-first
blob.server.port: 6124
query.server.port: 6125
flink jobmanger 配置
jobmanager.rpc.address: flink-jobmanager-svc
jobmanager.rpc.port: 6123
jobmanager.heap.size: 1024m
taskmanager.heap.size: 1024m
taskmanager.numberOfTaskSlots: 1
parallelism.default: 1
high-availability: zookeeper
high-availability.zookeeper.path.root: /flink
high-availability.cluster-id: 1
high-availability.storageDir: file:///data/ha
high-availability.zookeeper.quorum: zookeeper:2181
zookeeper.sasl.disable: true
high-availability.jobmanager.port: 6123
state.backend: filesystem
state.backend.fs.checkpointdir: file:///data/state
web.upload.dir: /data/upload
blob.server.port: 6124
metrics.internal.query-service.port: 6125
classloader.resolve-order: parent-first
~
flink-taskmanager.yml
---
apiVersion: apps/v1beta1
kind: Deployment
metadata:
name: flink-taskmanager
namespace: kafka
spec:
replicas: 3
selector:
matchLabels:
app: flink-taskmanager
template:
metadata:
labels:
app: flink-taskmanager
spec:
containers:
- image: ccr.ccs.tencentyun.com/jttest/flink:1.11.1-scala_2.12-java8
name: flink-taskmanager
ports:
- containerPort: 8081
name: flink-task
workingDir: /opt/flink
args:
- taskmanager
env:
- name: JOB_MANAGER_RPC_ADDRESS
value: flink-jobmanager-svc
- name: TZ
value: "Asia/Shanghai"
resources:
requests:
cpu: 1200m
memory: 1024Mi
limits:
cpu: 2000m
memory: 2048Mi
volumeMounts:
- name: flink-taskmanager-pv
mountPath: /opt/flink/conf
- name: flink-jobmanager-lib-pv
mountPath: /opt/flink/lib
volumes:
- name: flink-taskmanager-pv
persistentVolumeClaim:
claimName: flink-taskmanager-pvc
- name: flink-jobmanager-lib-pv
persistentVolumeClaim:
claimName: flink-jobmanager-lib-pvc
imagePullSecrets:
- name: registrysecret
flink 代码
// 获取flink 代码运行环境
StreamExecutionEnvironment env =
StreamExecutionEnvironment.getExecutionEnvironment();
// 指定checkpoint
env.getCheckpointConfig().setCheckpointingMode(Checkpoi
