启动Flink报错：[ERROR] Could not get JVM parameters properly.

报错Starting cluster.Starting standalonesession daemon on host master.localdomain.[ERROR] Could not get JVM parameters properly.[ERROR] Could not get JVM parameters properly.[ERROR] Could not get JVM parameters properly.解决方法cd /usr/local/flink/confvim flink-conf.yaml启动flink/usr/local/flink/bin/start-cluster.sh********此处为完整flink-conf.yaml配置文件需要自取********################################################################################# Licensed to the Apache Software Foundation (ASF) under one# or more contributor license agreements. See the NOTICE file# distributed with this work for additional information# regarding copyright ownership. The ASF licenses this file# to you under the Apache License, Version 2.0 (the# License); you may not use this file except in compliance# with the License. You may obtain a copy of the License at## http://www.apache.org/licenses/LICENSE-2.0## Unless required by applicable law or agreed to in writing, software# distributed under the License is distributed on an AS IS BASIS,# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.# See the License for the specific language governing permissions and# limitations under the License.################################################################################## Common## The external address of the host on which the JobManager runs and can be# reached by the TaskManagers and any clients which want to connect. This setting# is only used in Standalone mode and may be overwritten on the JobManager side# by specifying the --host hostname parameter of the bin/jobmanager.sh executable.# In high availability mode, if you use the bin/start-cluster.sh script and setup# the conf/masters file, this will be taken care of automatically. Yarn/Mesos# automatically configure the host name based on the hostname of the node where the# JobManager runs.jobmanager.rpc.address: 192.168.128.130# The RPC port where the JobManager is reachable.jobmanager.rpc.port: 6123# The heap size for the JobManager JVMjobmanager.heap.size: 1024m# The total process memory size for the TaskManager.## Note this accounts for all memory usage within the TaskManager process, including JVM metaspace and other overhead.taskmanager.memory.process.size: 1024m# To exclude JVM metaspace and overhead, please, use total Flink memory size instead of taskmanager.memory.process.size.# It is not recommended to set both taskmanager.memory.process.size and Flink memory.## taskmanager.memory.flink.size: 1280m# The number of task slots that each TaskManager offers. Each slot runs one parallel pipeline.taskmanager.numberOfTaskSlots: 3# The parallelism used for programs that did not specify and other parallelism.parallelism.default: 1# The default file system scheme and authority.## By default file paths without scheme are interpreted relative to the local# root file system file:///. Use this to override the default and interpret# relative paths relative to a different file system,# for example hdfs://mynamenode:12345## fs.default-scheme## High Availability## The high-availability mode. Possible options are NONE or zookeeper.## high-availability: zookeeper# The path where metadata for master recovery is persisted. While ZooKeeper stores# the small ground truth for checkpoint and leader election, this location stores# the larger objects, like persisted dataflow graphs.## Must be a durable file system that is accessible from all nodes# (like HDFS, S3, Ceph, nfs, ...)## high-availability.storageDir: hdfs:///flink/ha/# The list of ZooKeeper quorum peers that coordinate the high-availability# setup. This must be a list of the form:# host1:clientPort,host2:clientPort,... (default clientPort: 2181)## high-availability.zookeeper.quorum: localhost:2181# ACL options are based on https://zookeeper.apache.org/doc/r3.1.2/zookeeperProgrammers.html#sc_BuiltinACLSchemes# It can be either creator (ZOO_CREATE_ALL_ACL) or open (ZOO_OPEN_ACL_UNSAFE)# The default value is open and it can be changed to creator if ZK security is enabled## high-availability.zookeeper.client.acl: open## Fault tolerance and checkpointing## The backend that will be used to store operator state checkpoints if# checkpointing is enabled.## Supported backends are jobmanager, filesystem, rocksdb, or the# class-name-of-factory.## state.backend: filesystem# Directory for checkpoints filesystem, when using any of the default bundled# state backends.## state.checkpoints.dir: hdfs://namenode-host:port/flink-checkpoints# Default target directory for savepoints, optional.## state.savepoints.dir: hdfs://namenode-host:port/flink-checkpoints# Flag to enable/disable incremental checkpoints for backends that# support incremental checkpoints (like the RocksDB state backend).## state.backend.incremental: false# The failover strategy, i.e., how the job computation recovers from task failures.# Only restart tasks that may have been affected by the task failure, which typically includes# downstream tasks and potentially upstream tasks if their produced data is no longer available for consumption.jobmanager.execution.failover-strategy: region## Rest web frontend## The port to which the REST client connects to. If rest.bind-port has# not been specified, then the server will bind to this port as well.##rest.port: 8081# The address to which the REST client will connect to#rest.address: 192.168.128.130# Port range for the REST and web server to bind to.##rest.bind-port: 8080-8090# The address that the REST web server binds to#rest.bind-address: 192.168.128.130# Flag to specify whether job submission is enabled from the web-based# runtime monitor. Uncomment to disable.#web.submit.enable: false## Advanced## Override the directories for temporary files. If not specified, the# system-specific Java temporary directory (java.io.tmpdir property) is taken.## For framework setups on Yarn or Mesos, Flink will automatically pick up the# containers temp directories without any need for configuration.## Add a delimited list for multiple directories, using the system directory# delimiter (colon : on unix) or a comma, e.g.:# /data1/tmp:/data2/tmp:/data3/tmp## Note: Each directory entry is read from and written to by a different I/O# thread. You can include the same directory multiple times in order to create# multiple I/O threads against that directory. This is for example relevant for# high-throughput RAIDs.#io.tmp.dirs: /var/log/flink/tmp# The classloading resolve order. Possible values are child-first (Flinks default)# and parent-first (Javas default).## Child first classloading allows users to use different dependency/library# versions in their application than those in the classpath. Switching back# to parent-first may help with debugging dependency issues.## classloader.resolve-order: child-first# The amount of memory going to the network stack. These numbers usually need# no tuning. Adjusting them may be necessary in case of an Insufficient number# of network buffers error. The default min is 64MB, the default max is 1GB.## taskmanager.memory.network.fraction: 0.1# taskmanager.memory.network.min: 64mb# taskmanager.memory.network.max: 1gb## Flink Cluster Security Configuration## Kerberos authentication for various components - Hadoop, ZooKeeper, and connectors -# may be enabled in four steps:# 1. configure the local krb5.conf file# 2. provide Kerberos credentials (either a keytab or a ticket cache w/ kinit)# 3. make the credentials available to various JAAS login contexts# 4. configure the connector to use JAAS/SASL# The below configure how Kerberos credentials are provided. A keytab will be used instead of# a ticket cache if the keytab path and principal are set.# security.kerberos.login.use-ticket-cache: true# security.kerberos.login.keytab: /path/to/kerberos/keytab# security.kerberos.login.principal: flink-user# The configuration below defines which JAAS login contexts# security.kerberos.login.contexts: Client,KafkaClient## ZK Security Configuration## Below configurations are applicable if ZK ensemble is configured for security# Override below configuration to provide custom ZK service name if configured# zookeeper.sasl.service-name: zookeeper# The configuration below must match one of the values set in security.kerberos.login.contexts# zookeeper.sasl.login-context-name: Client## HistoryServer## The HistoryServer is started and stopped via bin/historyserver.sh (start|stop)# Directory to upload completed jobs to. Add this directory to the list of# monitored directories of the HistoryServer as well (see below).#jobmanager.archive.fs.dir: hdfs:///completed-jobs/# The address under which the web-based HistoryServer listens.#historyserver.web.address: 0.0.0.0# The port under which the web-based HistoryServer listens.#historyserver.web.port: 8082# Comma separated list of directories to monitor for completed jobs.#historyserver.archive.fs.dir: hdfs:///completed-jobs/# Interval in milliseconds for refreshing the monitored directories.#historyserver.archive.fs.refresh-interval: 10000