- html - 出于某种原因,IE8 对我的 Sass 文件中继承的 html5 CSS 不友好?
- JMeter 在响应断言中使用 span 标签的问题
- html - 在 :hover and :active? 上具有不同效果的 CSS 动画
- html - 相对于居中的 html 内容固定的 CSS 重复背景?
我正在尝试使用 apache flink 流来使用 kafka 主题。
但我遇到了这个问题。
2018-04-10 02:55:59,856|- ProducerConfig values:
acks = 1
batch.size = 16384
bootstrap.servers = [localhost:9092]
buffer.memory = 33554432
client.id =
compression.type = none
connections.max.idle.ms = 540000
enable.idempotence = false
interceptor.classes = null
key.serializer = class org.apache.kafka.common.serialization.StringSerializer
linger.ms = 1
max.block.ms = 60000
max.in.flight.requests.per.connection = 5
max.request.size = 1048576
metadata.max.age.ms = 300000
metric.reporters = []
metrics.num.samples = 2
metrics.recording.level = INFO
metrics.sample.window.ms = 30000
partitioner.class = class org.apache.kafka.clients.producer.internals.DefaultPartitioner
receive.buffer.bytes = 32768
reconnect.backoff.max.ms = 1000
reconnect.backoff.ms = 50
request.timeout.ms = 30000
retries = 2
retry.backoff.ms = 100
sasl.jaas.config = null
sasl.kerberos.kinit.cmd = /usr/bin/kinit
sasl.kerberos.min.time.before.relogin = 60000
sasl.kerberos.service.name = null
sasl.kerberos.ticket.renew.jitter = 0.05
sasl.kerberos.ticket.renew.window.factor = 0.8
sasl.mechanism = GSSAPI
security.protocol = PLAINTEXT
send.buffer.bytes = 131072
ssl.cipher.suites = null
ssl.enabled.protocols = [TLSv1.2, TLSv1.1, TLSv1]
ssl.endpoint.identification.algorithm = null
ssl.key.password = null
ssl.keymanager.algorithm = SunX509
ssl.keystore.location = null
ssl.keystore.password = null
ssl.keystore.type = JKS
ssl.protocol = TLS
ssl.provider = null
ssl.secure.random.implementation = null
ssl.trustmanager.algorithm = PKIX
ssl.truststore.location = null
ssl.truststore.password = null
ssl.truststore.type = JKS
transaction.timeout.ms = 60000
transactional.id = null
value.serializer = class org.apache.kafka.common.serialization.StringSerializer
2018-04-10 02:56:00,052|- The configuration 'auto.create.topics.enable' was supplied but isn't a known config.
2018-04-10 02:56:00,064|- Kafka version : 1.0.0
2018-04-10 02:56:00,064|- Kafka commitId : aaa7af6d4a11b29d
2018-04-10 02:56:40,064|- ConsumerConfig values:
auto.commit.interval.ms = 1000
auto.offset.reset = latest
bootstrap.servers = [localhost:9092]
check.crcs = true
client.id =
connections.max.idle.ms = 540000
enable.auto.commit = true
exclude.internal.topics = true
fetch.max.bytes = 52428800
fetch.max.wait.ms = 500
fetch.min.bytes = 1
group.id = engine-kafka-consumer
heartbeat.interval.ms = 3000
interceptor.classes = null
internal.leave.group.on.close = true
isolation.level = read_uncommitted
key.deserializer = class org.apache.kafka.common.serialization.ByteArrayDeserializer
max.partition.fetch.bytes = 1048576
max.poll.interval.ms = 300000
max.poll.records = 500
metadata.max.age.ms = 300000
metric.reporters = []
metrics.num.samples = 2
metrics.recording.level = INFO
metrics.sample.window.ms = 30000
partition.assignment.strategy = [class org.apache.kafka.clients.consumer.RangeAssignor]
receive.buffer.bytes = 65536
reconnect.backoff.max.ms = 1000
reconnect.backoff.ms = 50
request.timeout.ms = 305000
retry.backoff.ms = 100
sasl.jaas.config = null
sasl.kerberos.kinit.cmd = /usr/bin/kinit
sasl.kerberos.min.time.before.relogin = 60000
sasl.kerberos.service.name = null
sasl.kerberos.ticket.renew.jitter = 0.05
sasl.kerberos.ticket.renew.window.factor = 0.8
sasl.mechanism = GSSAPI
security.protocol = PLAINTEXT
send.buffer.bytes = 131072
session.timeout.ms = 30000
ssl.cipher.suites = null
ssl.enabled.protocols = [TLSv1.2, TLSv1.1, TLSv1]
ssl.endpoint.identification.algorithm = null
ssl.key.password = null
ssl.keymanager.algorithm = SunX509
ssl.keystore.location = null
ssl.keystore.password = null
ssl.keystore.type = JKS
ssl.protocol = TLS
ssl.provider = null
ssl.secure.random.implementation = null
ssl.trustmanager.algorithm = PKIX
ssl.truststore.location = null
ssl.truststore.password = null
ssl.truststore.type = JKS
value.deserializer = class org.apache.kafka.common.serialization.ByteArrayDeserializer
2018-04-10 02:56:40,073|- ConsumerConfig values:
auto.commit.interval.ms = 1000
auto.offset.reset = latest
bootstrap.servers = [localhost:9092]
check.crcs = true
client.id =
connections.max.idle.ms = 540000
enable.auto.commit = true
exclude.internal.topics = true
fetch.max.bytes = 52428800
fetch.max.wait.ms = 500
fetch.min.bytes = 1
group.id = engine-kafka-consumer
heartbeat.interval.ms = 3000
interceptor.classes = null
internal.leave.group.on.close = true
isolation.level = read_uncommitted
key.deserializer = class org.apache.kafka.common.serialization.ByteArrayDeserializer
max.partition.fetch.bytes = 1048576
max.poll.interval.ms = 300000
max.poll.records = 500
metadata.max.age.ms = 300000
metric.reporters = []
metrics.num.samples = 2
metrics.recording.level = INFO
metrics.sample.window.ms = 30000
partition.assignment.strategy = [class org.apache.kafka.clients.consumer.RangeAssignor]
receive.buffer.bytes = 65536
reconnect.backoff.max.ms = 1000
reconnect.backoff.ms = 50
request.timeout.ms = 305000
retry.backoff.ms = 100
sasl.jaas.config = null
sasl.kerberos.kinit.cmd = /usr/bin/kinit
sasl.kerberos.min.time.before.relogin = 60000
sasl.kerberos.service.name = null
sasl.kerberos.ticket.renew.jitter = 0.05
sasl.kerberos.ticket.renew.window.factor = 0.8
sasl.mechanism = GSSAPI
security.protocol = PLAINTEXT
send.buffer.bytes = 131072
session.timeout.ms = 30000
ssl.cipher.suites = null
ssl.enabled.protocols = [TLSv1.2, TLSv1.1, TLSv1]
ssl.endpoint.identification.algorithm = null
ssl.key.password = null
ssl.keymanager.algorithm = SunX509
ssl.keystore.location = null
ssl.keystore.password = null
ssl.keystore.type = JKS
ssl.protocol = TLS
ssl.provider = null
ssl.secure.random.implementation = null
ssl.trustmanager.algorithm = PKIX
ssl.truststore.location = null
ssl.truststore.password = null
ssl.truststore.type = JKS
value.deserializer = class org.apache.kafka.common.serialization.ByteArrayDeserializer
2018-04-10 02:56:40,079|- ConsumerConfig values:
auto.commit.interval.ms = 1000
auto.offset.reset = latest
bootstrap.servers = [localhost:9092]
check.crcs = true
client.id =
connections.max.idle.ms = 540000
enable.auto.commit = true
exclude.internal.topics = true
fetch.max.bytes = 52428800
fetch.max.wait.ms = 500
fetch.min.bytes = 1
group.id = engine-kafka-consumer
heartbeat.interval.ms = 3000
interceptor.classes = null
internal.leave.group.on.close = true
isolation.level = read_uncommitted
key.deserializer = class org.apache.kafka.common.serialization.ByteArrayDeserializer
max.partition.fetch.bytes = 1048576
max.poll.interval.ms = 300000
max.poll.records = 500
metadata.max.age.ms = 300000
metric.reporters = []
metrics.num.samples = 2
metrics.recording.level = INFO
metrics.sample.window.ms = 30000
partition.assignment.strategy = [class org.apache.kafka.clients.consumer.RangeAssignor]
receive.buffer.bytes = 65536
reconnect.backoff.max.ms = 1000
reconnect.backoff.ms = 50
request.timeout.ms = 305000
retry.backoff.ms = 100
sasl.jaas.config = null
sasl.kerberos.kinit.cmd = /usr/bin/kinit
sasl.kerberos.min.time.before.relogin = 60000
sasl.kerberos.service.name = null
sasl.kerberos.ticket.renew.jitter = 0.05
sasl.kerberos.ticket.renew.window.factor = 0.8
sasl.mechanism = GSSAPI
security.protocol = PLAINTEXT
send.buffer.bytes = 131072
session.timeout.ms = 30000
ssl.cipher.suites = null
ssl.enabled.protocols = [TLSv1.2, TLSv1.1, TLSv1]
ssl.endpoint.identification.algorithm = null
ssl.key.password = null
ssl.keymanager.algorithm = SunX509
ssl.keystore.location = null
ssl.keystore.password = null
ssl.keystore.type = JKS
ssl.protocol = TLS
ssl.provider = null
ssl.secure.random.implementation = null
ssl.trustmanager.algorithm = PKIX
ssl.truststore.location = null
ssl.truststore.password = null
ssl.truststore.type = JKS
value.deserializer = class org.apache.kafka.common.serialization.ByteArrayDeserializer
2018-04-10 02:56:40,082|- ConsumerConfig values:
auto.commit.interval.ms = 1000
auto.offset.reset = latest
bootstrap.servers = [localhost:9092]
check.crcs = true
client.id =
connections.max.idle.ms = 540000
enable.auto.commit = true
exclude.internal.topics = true
fetch.max.bytes = 52428800
fetch.max.wait.ms = 500
fetch.min.bytes = 1
group.id = engine-kafka-consumer
heartbeat.interval.ms = 3000
interceptor.classes = null
internal.leave.group.on.close = true
isolation.level = read_uncommitted
key.deserializer = class org.apache.kafka.common.serialization.ByteArrayDeserializer
max.partition.fetch.bytes = 1048576
max.poll.interval.ms = 300000
max.poll.records = 500
metadata.max.age.ms = 300000
metric.reporters = []
metrics.num.samples = 2
metrics.recording.level = INFO
metrics.sample.window.ms = 30000
partition.assignment.strategy = [class org.apache.kafka.clients.consumer.RangeAssignor]
receive.buffer.bytes = 65536
reconnect.backoff.max.ms = 1000
reconnect.backoff.ms = 50
request.timeout.ms = 305000
retry.backoff.ms = 100
sasl.jaas.config = null
sasl.kerberos.kinit.cmd = /usr/bin/kinit
sasl.kerberos.min.time.before.relogin = 60000
sasl.kerberos.service.name = null
sasl.kerberos.ticket.renew.jitter = 0.05
sasl.kerberos.ticket.renew.window.factor = 0.8
sasl.mechanism = GSSAPI
security.protocol = PLAINTEXT
send.buffer.bytes = 131072
session.timeout.ms = 30000
ssl.cipher.suites = null
ssl.enabled.protocols = [TLSv1.2, TLSv1.1, TLSv1]
ssl.endpoint.identification.algorithm = null
ssl.key.password = null
ssl.keymanager.algorithm = SunX509
ssl.keystore.location = null
ssl.keystore.password = null
ssl.keystore.type = JKS
ssl.protocol = TLS
ssl.provider = null
ssl.secure.random.implementation = null
ssl.trustmanager.algorithm = PKIX
ssl.truststore.location = null
ssl.truststore.password = null
ssl.truststore.type = JKS
value.deserializer = class org.apache.kafka.common.serialization.ByteArrayDeserializer
2018-04-10 02:56:40,783|- Kafka version : 1.0.0
2018-04-10 02:56:40,783|- Kafka commitId : aaa7af6d4a11b29d
2018-04-10 02:56:40,818|- Kafka version : 1.0.0
2018-04-10 02:56:40,819|- Kafka commitId : aaa7af6d4a11b29d
2018-04-10 02:56:40,819|- Kafka version : 1.0.0
2018-04-10 02:56:40,819|- Kafka commitId : aaa7af6d4a11b29d
2018-04-10 02:56:40,820|- Kafka version : 1.0.0
2018-04-10 02:56:40,820|- Kafka commitId : aaa7af6d4a11b29d
2018-04-10 02:56:41,906|- [Consumer clientId=consumer-2, groupId=engine-kafka-consumer] Connection to node -1 could not be established. Broker may not be available.
2018-04-10 02:56:41,925|- [Consumer clientId=consumer-4, groupId=engine-kafka-consumer] Connection to node -1 could not be established. Broker may not be available.
2018-04-10 02:56:41,931|- [Consumer clientId=consumer-1, groupId=engine-kafka-consumer] Connection to node -1 could not be established. Broker may not be available.
2018-04-10 02:56:41,948|- [Consumer clientId=consumer-3, groupId=engine-kafka-consumer] Connection to node -1 could not be established. Broker may not be available.
2018-04-10 02:56:42,013|- [Consumer clientId=consumer-2, groupId=engine-kafka-consumer] Connection to node -1 could not be established. Broker may not be available.
// kafka
"org.apache.kafka" %% "kafka" % "1.0.0"
"net.manub" %% "scalatest-embedded-kafka" % "0.14.0" % Test
//flink
"org.apache.flink" %% "flink-scala" % "1.4.2"
"org.apache.flink" %% "flink-streaming-scala" % "1.4.2"
"org.apache.flink" %% "flink-connector-kafka-0.9" % "1.4.0"
"org.apache.flink" %% "flink-connector-cassandra" % "1.4.2"
最佳答案
我遇到了同样的问题。当消费者运行另一台计算机而不是 kafka 服务器时,就会发生这种情况。请修改
config/server.properties .听众=PLAINTEXT://serverip:9092。
注意:severip 不能设置为 127.0.0.1 或 localhost,应该设置为消费者可以连接的 ip。
关于apache-kafka - Kafka - 无法建立到节点 -1 的连接,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/49744897/
我在 Windows 机器上启动 Kafka-Server 时出现以下错误。我已经从以下链接下载了 Scala 2.11 - kafka_2.11-2.1.0.tgz:https://kafka.ap
关于Apache-Kafka messaging queue . 我已经从 Kafka 下载页面下载了 Apache Kafka。我已将其提取到 /opt/apache/installed/kafka
假设我有 Kafka 主题 cars。 我还有一个消费者组 cars-consumers 订阅了 cars 主题。 cars-consumers 消费者组当前位于偏移量 89。 当我现在删除 cars
我想知道什么最适合我:Kafka 流或 Kafka 消费者 api 或 Kafka 连接? 我想从主题中读取数据,然后进行一些处理并写入数据库。所以我编写了消费者,但我觉得我可以编写 Kafka 流应
我曾研究过一些 Kafka 流应用程序和 Kafka 消费者应用程序。最后,Kafka流不过是消费来自Kafka的实时事件的消费者。因此,我无法弄清楚何时使用 Kafka 流或为什么我们应该使用
Kafka Acknowledgement 和 Kafka 消费者 commitSync() 有什么区别 两者都用于手动偏移管理,并希望两者同步工作。 请协助 最佳答案 使用 spring-kafka
如何在 Kafka 代理上代理 Apache Kafka 生产者请求,并重定向到单独的 Kafka 集群? 在我的特定情况下,无法更新写入此集群的客户端。这意味着,执行以下操作是不可行的: 更新客户端
我需要在 Kafka 10 中命名我的消费者,就像我在 Kafka 8 中所做的一样,因为我有脚本可以嗅出并进一步使用这些信息。 显然,consumer.id 的默认命名已更改(并且现在还单独显示了
1.概述 我们会看到zk的数据中有一个节点/log_dir_event_notification/,这是一个序列号持久节点 这个节点在kafka中承担的作用是: 当某个Broker上的LogDir出现
我正在使用以下命令: bin/kafka-console-producer.sh --broker-list localhost:9092 --topic test.topic --property
我很难理解 Java Spring Boot 中的一些 Kafka 概念。我想针对在服务器上运行的真实 Kafka 代理测试消费者,该服务器有一些生产者已将数据写入/已经将数据写入各种主题。我想与服务
我的场景是我使用了很多共享前缀的 Kafka 主题(例如 house.door, house.room ) 并使用 Kafka 流正则表达式主题模式 API 使用所有主题。 一切看起来都不错,我得到了
有没有办法以编程方式获取kafka集群的版本?例如,使用AdminClient应用程序接口(interface)。 我想在消费者/生产者应用程序中识别 kafka 集群的版本。 最佳答案 目前无法检索
每当我尝试重新启动 kafka 时,它都会出现以下错误。一旦我删除/tmp/kafka-logs 它就会得到解决,但它也会删除我的主题。 有办法解决吗? ERROR Error while
我是 Apache Kafka 的新用户,我仍在了解内部结构。 在我的用例中,我需要从 Kafka Producer 客户端动态增加主题的分区数。 我发现了其他类似的 questions关于增加分区大
正如 Kafka 文档所示,一种方法是通过 kafka.tools.MirrorMaker 来实现这一点。但是,我需要将一个主题(比如 测试 带 1 个分区)(其内容和元数据)从生产环境复制到没有连接
我已经在集群中配置了 3 个 kafka,我正在尝试与 spring-kafka 一起使用。 但是在我杀死 kafka 领导者之后,我无法将其他消息发送到队列中。 我将 spring.kafka.bo
我的 kafka sink 连接器从多个主题(配置了 10 个任务)读取,并处理来自所有主题的 300 条记录。根据每个记录中保存的信息,连接器可以执行某些操作。 以下是触发器记录中键值对的示例: "
我有以下 kafka 流代码 public class KafkaStreamHandler implements Processor{ private ProcessorConte
当 kafka-streams 应用程序正在运行并且 Kafka 突然关闭时,应用程序进入“等待”模式,发送警告日志的消费者和生产者线程无法连接,当 Kafka 回来时,一切都应该(理论上)去恢复正常
我是一名优秀的程序员,十分优秀!