我正在尝试运行以下 Apache Nifi 流程并将数据从 Kafka 放入 HDFS:
我在跑 Confluent Kafka我的 Hadoop 实例是 Cloudera 快速入门。
Cloudera 快速入门
docker run --hostname=quickstart.cloudera --privileged=true -t -i -p 8888:8888 -p 7180:7180 -p 80:80 -p 50070:50070 -p 8020:8020 -p 50010:50010 -p 50020:50020 -p 50075:50075 -p 50475:50475 -p 50090:50090 -p 50495:50495 -v $(pwd):/home/cloudera -w /home/cloudera cloudera/quickstart /usr/bin/docker-quickstart
融合 Kafka https://github.com/confluentinc/cp-docker-images/tree/master/examples/cp-all-in-one
当 Nifi 尝试将数据放入 HDFS 时,我收到以下错误。 Nifi 能够成功连接到 HDFS(我的配置文件在下面供引用)。
根据我的初步研究,名称节点似乎无法与 HDFS 中的数据节点通信,但我在 hdfs-site.xml 中的地址似乎是正确的。我还在我的机器上公开了我的端口,这样 Nifi 就可以在不使用 docker 网络的情况下与 Hadoop 通信。
org.apache.nifi.processor.exception.ProcessException: IOException thrown from PutHDFS[id=07704347-0165-1000-b8f7-b53809532c9a]: org.apache.hadoop.ipc.RemoteException(java.io.IOException): File /topics/users/.10180050823815 could only be replicated to 0 nodes instead of minReplication (=1). There are 1 datanode(s) running and 1 node(s) are excluded in this operation.
at org.apache.hadoop.hdfs.server.blockmanagement.BlockManager.chooseTarget4NewBlock(BlockManager.java:1595)
at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getAdditionalBlock(FSNamesystem.java:3287)
at org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.addBlock(NameNodeRpcServer.java:677)
at org.apache.hadoop.hdfs.server.namenode.AuthorizationProviderProxyClientProtocol.addBlock(AuthorizationProviderProxyClientProtocol.java:213)
at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolServerSideTranslatorPB.addBlock(ClientNamenodeProtocolServerSideTranslatorPB.java:485)
at org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$ClientNamenodeProtocol$2.callBlockingMethod(ClientNamenodeProtocolProtos.java)
at org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:617)
at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:1073)
at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2086)
at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2082)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:415)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1693)
at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2080)
at org.apache.nifi.controller.repository.StandardProcessSession.read(StandardProcessSession.java:2234)
at org.apache.nifi.controller.repository.StandardProcessSession.read(StandardProcessSession.java:2179)
at org.apache.nifi.processors.hadoop.PutHDFS$1.run(PutHDFS.java:299)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:360)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1942)
at org.apache.nifi.processors.hadoop.PutHDFS.onTrigger(PutHDFS.java:229)
at org.apache.nifi.processor.AbstractProcessor.onTrigger(AbstractProcessor.java:27)
at org.apache.nifi.controller.StandardProcessorNode.onTrigger(StandardProcessorNode.java:1165)
at org.apache.nifi.controller.tasks.ConnectableTask.invoke(ConnectableTask.java:203)
at org.apache.nifi.controller.scheduling.TimerDrivenSchedulingAgent$1.run(TimerDrivenSchedulingAgent.java:117)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.runAndReset(FutureTask.java:308)
at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$301(ScheduledThreadPoolExecutor.java:180)
at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:294)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: org.apache.hadoop.ipc.RemoteException: File /topics/users/.10180050823815 could only be replicated to 0 nodes instead of minReplication (=1). There are 1 datanode(s) running and 1 node(s) are excluded in this operation.
at org.apache.hadoop.hdfs.server.blockmanagement.BlockManager.chooseTarget4NewBlock(BlockManager.java:1595)
at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getAdditionalBlock(FSNamesystem.java:3287)
at org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.addBlock(NameNodeRpcServer.java:677)
at org.apache.hadoop.hdfs.server.namenode.AuthorizationProviderProxyClientProtocol.addBlock(AuthorizationProviderProxyClientProtocol.java:213)
at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolServerSideTranslatorPB.addBlock(ClientNamenodeProtocolServerSideTranslatorPB.java:485)
at org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$ClientNamenodeProtocol$2.callBlockingMethod(ClientNamenodeProtocolProtos.java)
at org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:617)
at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:1073)
at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2086)
at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2082)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:415)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1693)
at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2080)
at org.apache.hadoop.ipc.Client.getRpcResponse(Client.java:1491)
at org.apache.hadoop.ipc.Client.call(Client.java:1437)
at org.apache.hadoop.ipc.Client.call(Client.java:1347)
at org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:228)
at org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:116)
at com.sun.proxy.$Proxy151.addBlock(Unknown Source)
at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolTranslatorPB.addBlock(ClientNamenodeProtocolTranslatorPB.java:496)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:422)
at org.apache.hadoop.io.retry.RetryInvocationHandler$Call.invokeMethod(RetryInvocationHandler.java:165)
at org.apache.hadoop.io.retry.RetryInvocationHandler$Call.invoke(RetryInvocationHandler.java:157)
at org.apache.hadoop.io.retry.RetryInvocationHandler$Call.invokeOnce(RetryInvocationHandler.java:95)
at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:359)
at com.sun.proxy.$Proxy152.addBlock(Unknown Source)
at org.apache.hadoop.hdfs.DFSOutputStream.addBlock(DFSOutputStream.java:1031)
at org.apache.hadoop.hdfs.DataStreamer.locateFollowingBlock(DataStreamer.java:1865)
at org.apache.hadoop.hdfs.DataStreamer.nextBlockOutputStream(DataStreamer.java:1668)
at org.apache.hadoop.hdfs.DataStreamer.run(DataStreamer.java:716)
我已经使用以下配置文件设置了我的 HDFS 实例:
核心站点.xml
<?xml version="1.0"?>
<!--
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.
-->
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<configuration>
<property>
<name>fs.defaultFS</name>
<value>hdfs://10.0.1.28:8020</value>
</property>
<!-- OOZIE proxy user setting -->
<property>
<name>hadoop.proxyuser.oozie.hosts</name>
<value>*</value>
</property>
<property>
<name>hadoop.proxyuser.oozie.groups</name>
<value>*</value>
</property>
<!-- HTTPFS proxy user setting -->
<property>
<name>hadoop.proxyuser.httpfs.hosts</name>
<value>*</value>
</property>
<property>
<name>hadoop.proxyuser.httpfs.groups</name>
<value>*</value>
</property>
<!-- Llama proxy user setting -->
<property>
<name>hadoop.proxyuser.llama.hosts</name>
<value>*</value>
</property>
<property>
<name>hadoop.proxyuser.llama.groups</name>
<value>*</value>
</property>
<!-- Hue proxy user setting -->
<property>
<name>hadoop.proxyuser.hue.hosts</name>
<value>*</value>
</property>
<property>
<name>hadoop.proxyuser.hue.groups</name>
<value>*</value>
</property>
</configuration>
hdfs-site.xml
<?xml version="1.0"?>
<!--
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.
-->
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<configuration>
<property>
<name>dfs.replication</name>
<value>1</value>
</property>
<!-- Immediately exit safemode as soon as one DataNode checks in.
On a multi-node cluster, these configurations must be removed. -->
<property>
<name>dfs.safemode.extension</name>
<value>0</value>
</property>
<property>
<name>dfs.safemode.min.datanodes</name>
<value>1</value>
</property>
<property>
<name>dfs.permissions.enabled</name>
<value>false</value>
</property>
<property>
<name>dfs.permissions</name>
<value>false</value>
</property>
<property>
<name>dfs.safemode.min.datanodes</name>
<value>1</value>
</property>
<property>
<name>dfs.webhdfs.enabled</name>
<value>true</value>
</property>
<property>
<name>hadoop.tmp.dir</name>
<value>/var/lib/hadoop-hdfs/cache/${user.name}</value>
</property>
<property>
<name>dfs.namenode.name.dir</name>
<value>/var/lib/hadoop-hdfs/cache/${user.name}/dfs/name</value>
</property>
<property>
<name>dfs.namenode.checkpoint.dir</name>
<value>/var/lib/hadoop-hdfs/cache/${user.name}/dfs/namesecondary</value>
</property>
<property>
<name>dfs.datanode.data.dir</name>
<value>/var/lib/hadoop-hdfs/cache/${user.name}/dfs/data</value>
</property>
<property>
<name>dfs.namenode.rpc-bind-host</name>
<value>10.0.1.28</value>
</property>
<property>
<name>dfs.namenode.servicerpc-address</name>
<value>10.0.1.28:8022</value>
</property>
<property>
<name>dfs.https.address</name>
<value>10.0.1.28:50470</value>
</property>
<property>
<name>dfs.namenode.http-address</name>
<value>10.0.1.28:50070</value>
</property>
<property>
<name>dfs.datanode.address</name>
<value>10.0.1.28:50010</value>
</property>
<property>
<name>dfs.datanode.ipc.address</name>
<value>10.0.1.28:50020</value>
</property>
<property>
<name>dfs.datanode.http.address</name>
<value>10.0.1.28:50075</value>
</property>
<property>
<name>dfs.datanode.https.address</name>
<value>10.0.1.28:50475</value>
</property>
<property>
<name>dfs.namenode.secondary.http-address</name>
<value>10.0.1.28:50090</value>
</property>
<property>
<name>dfs.namenode.secondary.https-address</name>
<value>10.0.1.28:50495</value>
</property>
<!-- Impala configuration -->
<property>
<name>dfs.datanode.hdfs-blocks-metadata.enabled</name>
<value>true</value>
</property>
<property>
<name>dfs.client.file-block-storage-locations.timeout.millis</name>
<value>10000</value>
</property>
<property>
<name>dfs.client.read.shortcircuit</name>
<value>true</value>
</property>
<property>
<name>dfs.domain.socket.path</name>
<value>/var/run/hadoop-hdfs/dn._PORT</value>
</property>
</configuration>
编辑:更新的 docker-compose.yml 文件
---
version: '2'
services:
zookeeper:
image: confluentinc/cp-zookeeper:5.0.0-beta30
hostname: zookeeper
container_name: zookeeper
ports:
- "2181:2181"
environment:
ZOOKEEPER_CLIENT_PORT: 2181
ZOOKEEPER_TICK_TIME: 2000
broker:
image: confluentinc/cp-enterprise-kafka:5.0.0-beta30
hostname: broker
container_name: broker
depends_on:
- zookeeper
ports:
- "9092:9092"
- "29092:29092"
environment:
KAFKA_BROKER_ID: 1
KAFKA_ZOOKEEPER_CONNECT: 'zookeeper:2181'
KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: PLAINTEXT:PLAINTEXT,PLAINTEXT_HOST:PLAINTEXT
KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://broker:9092,PLAINTEXT_HOST://localhost:29092
KAFKA_METRIC_REPORTERS: io.confluent.metrics.reporter.ConfluentMetricsReporter
KAFKA_ADVERTISED_HOST_NAME: ${DOCKER_KAFKA_HOST}
KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR: 1
KAFKA_GROUP_INITIAL_REBALANCE_DELAY_MS: 0
CONFLUENT_METRICS_REPORTER_BOOTSTRAP_SERVERS: broker:9092
CONFLUENT_METRICS_REPORTER_ZOOKEEPER_CONNECT: zookeeper:2181
CONFLUENT_METRICS_REPORTER_TOPIC_REPLICAS: 1
CONFLUENT_METRICS_ENABLE: 'true'
CONFLUENT_SUPPORT_CUSTOMER_ID: 'anonymous'
schema-registry:
image: confluentinc/cp-schema-registry:5.0.0-beta30
hostname: schema-registry
container_name: schema-registry
depends_on:
- zookeeper
- broker
ports:
- "8081:8081"
environment:
SCHEMA_REGISTRY_HOST_NAME: schema-registry
SCHEMA_REGISTRY_KAFKASTORE_CONNECTION_URL: 'zookeeper:2181'
connect:
image: confluentinc/cp-kafka-connect:5.0.0-beta30
hostname: connect
container_name: connect
depends_on:
- zookeeper
- broker
- schema-registry
ports:
- "8083:8083"
volumes:
- mi2:/usr/share/java/monitoring-interceptors/
environment:
CONNECT_BOOTSTRAP_SERVERS: 'broker:9092'
CONNECT_REST_ADVERTISED_HOST_NAME: connect
CONNECT_REST_PORT: 8083
CONNECT_GROUP_ID: compose-connect-group
CONNECT_CONFIG_STORAGE_TOPIC: docker-connect-configs
CONNECT_CONFIG_STORAGE_REPLICATION_FACTOR: 1
CONNECT_OFFSET_FLUSH_INTERVAL_MS: 10000
CONNECT_OFFSET_STORAGE_TOPIC: docker-connect-offsets
CONNECT_OFFSET_STORAGE_REPLICATION_FACTOR: 1
CONNECT_STATUS_STORAGE_TOPIC: docker-connect-status
CONNECT_STATUS_STORAGE_REPLICATION_FACTOR: 1
CONNECT_KEY_CONVERTER: io.confluent.connect.avro.AvroConverter
CONNECT_KEY_CONVERTER_SCHEMA_REGISTRY_URL: 'http://schema-registry:8081'
CONNECT_VALUE_CONVERTER: io.confluent.connect.avro.AvroConverter
CONNECT_VALUE_CONVERTER_SCHEMA_REGISTRY_URL: 'http://schema-registry:8081'
CONNECT_INTERNAL_KEY_CONVERTER: org.apache.kafka.connect.json.JsonConverter
CONNECT_INTERNAL_VALUE_CONVERTER: org.apache.kafka.connect.json.JsonConverter
CONNECT_ZOOKEEPER_CONNECT: 'zookeeper:2181'
CLASSPATH: /usr/share/java/monitoring-interceptors/monitoring-interceptors-5.0.0-beta30.jar
CONNECT_PRODUCER_INTERCEPTOR_CLASSES: "io.confluent.monitoring.clients.interceptor.MonitoringProducerInterceptor"
CONNECT_CONSUMER_INTERCEPTOR_CLASSES: "io.confluent.monitoring.clients.interceptor.MonitoringConsumerInterceptor"
CONNECT_PLUGIN_PATH: /usr/share/java
CONNECT_LOG4J_LOGGERS: org.apache.zookeeper=ERROR,org.I0Itec.zkclient=ERROR,org.reflections=ERROR
control-center:
#image: confluentinc/cp-enterprise-control-center:5.0.0-beta30
image: confluentinc/cp-enterprise-control-center:5.0.0-beta1-2
hostname: control-center
container_name: control-center
depends_on:
- zookeeper
- broker
- schema-registry
- connect
- ksql-server
ports:
- "9021:9021"
environment:
CONTROL_CENTER_BOOTSTRAP_SERVERS: 'broker:9092'
CONTROL_CENTER_ZOOKEEPER_CONNECT: 'zookeeper:2181'
CONTROL_CENTER_CONNECT_CLUSTER: 'connect:8083'
#CONTROL_CENTER_KSQL_URL: "http://ksql-server:8088"
CONTROL_CENTER_KSQL_ENDPOINT: "http://ksql-server:8088"
CONTROL_CENTER_REPLICATION_FACTOR: 1
CONTROL_CENTER_INTERNAL_TOPICS_PARTITIONS: 1
CONTROL_CENTER_MONITORING_INTERCEPTOR_TOPIC_PARTITIONS: 1
CONFLUENT_METRICS_TOPIC_REPLICATION: 1
PORT: 9021
ksql-server:
image: confluentinc/cp-ksql-server:5.0.0-beta30
hostname: ksql-server
container_name: ksql-server
depends_on:
- broker
- connect
ports:
- "8088:8088"
environment:
KSQL_CONFIG_DIR: "/etc/ksql"
KSQL_LOG4J_OPTS: "-Dlog4j.configuration=file:/etc/ksql/log4j-rolling.properties"
KSQL_BOOTSTRAP_SERVERS: "broker:9092"
KSQL_HOST_NAME: ksql-server
KSQL_APPLICATION_ID: "cp-all-in-one"
KSQL_LISTENERS: "http://0.0.0.0:8088"
KSQL_CACHE_MAX_BYTES_BUFFERING: 0
KSQL_KSQL_SCHEMA_REGISTRY_URL: "http://schema-registry:8081"
KSQL_PRODUCER_INTERCEPTOR_CLASSES: "io.confluent.monitoring.clients.interceptor.MonitoringProducerInterceptor"
KSQL_CONSUMER_INTERCEPTOR_CLASSES: "io.confluent.monitoring.clients.interceptor.MonitoringConsumerInterceptor"
ksql-cli:
image: confluentinc/cp-ksql-cli:5.0.0-beta30
container_name: ksql-cli
depends_on:
- broker
- connect
- ksql-server
entrypoint: /bin/sh
tty: true
ksql-datagen:
image: confluentinc/ksql-examples:5.0.0-beta30
hostname: ksql-datagen
container_name: ksql-datagen
depends_on:
- broker
- schema-registry
- connect
volumes:
- mi2:/usr/share/java/monitoring-interceptors/
command: "bash -c 'echo Waiting for Kafka to be ready... && \
cub kafka-ready -b broker:9092 1 20 && \
echo Waiting for Confluent Schema Registry to be ready... && \
cub sr-ready schema-registry 8081 20 && \
echo Waiting a few seconds for topic creation to finish... && \
sleep 11 && \
cp /usr/share/java/monitoring-interceptors/monitoring-interceptors-5.0.0-beta30.jar /usr/share/java/ksql-examples/monitoring-interceptors-5.0.0-beta30.jar && \
tail -f /dev/null'"
environment:
KSQL_CONFIG_DIR: "/etc/ksql"
KSQL_LOG4J_OPTS: "-Dlog4j.configuration=file:/etc/ksql/log4j-rolling.properties"
STREAMS_BOOTSTRAP_SERVERS: broker:9092
STREAMS_SCHEMA_REGISTRY_HOST: schema-registry
STREAMS_SCHEMA_REGISTRY_PORT: 8081
rest-proxy:
image: confluentinc/cp-kafka-rest:latest
depends_on:
- zookeeper
- broker
- schema-registry
ports:
- 8082:8082
hostname: rest-proxy
container_name: rest-proxy
environment:
KAFKA_REST_HOST_NAME: rest-proxy
KAFKA_REST_BOOTSTRAP_SERVERS: 'broker:9092'
KAFKA_REST_LISTENERS: "http://0.0.0.0:8082"
KAFKA_REST_SCHEMA_REGISTRY_URL: 'http://schema-registry:8081'
cloudera:
image: cloudera/quickstart
container_name: cloudera
privileged: true
tty: true
command: /usr/bin/docker-quickstart
ports:
- 80:80
- 7180:7180
- 8020:8020
- 8888:8888
- 50070:50070
- 50010:50010
- 50020:50020
- 50075:50075
- 50475:50475
- 50090:50090
- 50495:50495
volumes:
- ./:/home/cloudera
working_dir: /home/cloudera
nifi:
image: apache/nifi
container_name: nifi
ports:
- 8080:8080
volumes:
- ./config:/config
volumes:
mi2: {}
最佳答案
如果你的 NiFi 容器在同一个 Docker 网络上,你不应该使用硬编码的 IP 地址。
我的建议是编辑 Confluent Compose 文件(或制作一个单独的 compose 文件)并使用您的 docker run 命令 并将其 reshape 为 Compose 形式
例如
cloudera-cdh:
image: cloudera/quickstart
command: /usr/bin/docker-quickstart
ports:
- ...
volumes:
- $PWD:/home/cloudera
对 NiFi 容器做同样的事情
然后,您的 hdfs-site.xml 文件应该能够通过服务名称通过 Docker 网络到达 hdfs://cloudera-cdh:50070。
注意:您可以使用 docker network create [name] 并通过 docker run 传递 --network [name] 来完成类似的任务>
FWIW,如果您只需要 HDFS,则有更好的 Hadoop 容器不包含完整的 CDH 堆栈。 (bde2020 和 uhopper 图片)
关于hadoop - 无法从 Apache Nifi 连接到 Docker 中的 Hadoop,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/51698924/
总的来说,我对ruby还比较陌生,我正在为我正在创建的对象编写一些rspec测试用例。许多测试用例都非常基础,我只是想确保正确填充和返回值。我想知道是否有办法使用循环结构来执行此操作。不必为我要测试的每个方法都设置一个assertEquals。例如:describeitem,"TestingtheItem"doit"willhaveanullvaluetostart"doitem=Item.new#HereIcoulddotheitem.name.shouldbe_nil#thenIcoulddoitem.category.shouldbe_nilendend但我想要一些方法来使用
我试图在一个项目中使用rake,如果我把所有东西都放到Rakefile中,它会很大并且很难读取/找到东西,所以我试着将每个命名空间放在lib/rake中它自己的文件中,我添加了这个到我的rake文件的顶部:Dir['#{File.dirname(__FILE__)}/lib/rake/*.rake'].map{|f|requiref}它加载文件没问题,但没有任务。我现在只有一个.rake文件作为测试,名为“servers.rake”,它看起来像这样:namespace:serverdotask:testdoputs"test"endend所以当我运行rakeserver:testid时
作为我的Rails应用程序的一部分,我编写了一个小导入程序,它从我们的LDAP系统中吸取数据并将其塞入一个用户表中。不幸的是,与LDAP相关的代码在遍历我们的32K用户时泄漏了大量内存,我一直无法弄清楚如何解决这个问题。这个问题似乎在某种程度上与LDAP库有关,因为当我删除对LDAP内容的调用时,内存使用情况会很好地稳定下来。此外,不断增加的对象是Net::BER::BerIdentifiedString和Net::BER::BerIdentifiedArray,它们都是LDAP库的一部分。当我运行导入时,内存使用量最终达到超过1GB的峰值。如果问题存在,我需要找到一些方法来更正我的代
我在从html页面生成PDF时遇到问题。我正在使用PDFkit。在安装它的过程中,我注意到我需要wkhtmltopdf。所以我也安装了它。我做了PDFkit的文档所说的一切......现在我在尝试加载PDF时遇到了这个错误。这里是错误:commandfailed:"/usr/local/bin/wkhtmltopdf""--margin-right""0.75in""--page-size""Letter""--margin-top""0.75in""--margin-bottom""0.75in""--encoding""UTF-8""--margin-left""0.75in""-
Rails2.3可以选择随时使用RouteSet#add_configuration_file添加更多路由。是否可以在Rails3项目中做同样的事情? 最佳答案 在config/application.rb中:config.paths.config.routes在Rails3.2(也可能是Rails3.1)中,使用:config.paths["config/routes"] 关于ruby-on-rails-Rails3中的多个路由文件,我们在StackOverflow上找到一个类似的问题
我需要从一个View访问多个模型。以前,我的links_controller仅用于提供以不同方式排序的链接资源。现在我想包括一个部分(我假设)显示按分数排序的顶级用户(@users=User.all.sort_by(&:score))我知道我可以将此代码插入每个链接操作并从View访问它,但这似乎不是“ruby方式”,我将需要在不久的将来访问更多模型。这可能会变得很脏,是否有针对这种情况的任何技术?注意事项:我认为我的应用程序正朝着单一格式和动态页面内容的方向发展,本质上是一个典型的网络应用程序。我知道before_filter但考虑到我希望应用程序进入的方向,这似乎很麻烦。最终从任何
我对最新版本的Rails有疑问。我创建了一个新应用程序(railsnewMyProject),但我没有脚本/生成,只有脚本/rails,当我输入ruby./script/railsgeneratepluginmy_plugin"Couldnotfindgeneratorplugin.".你知道如何生成插件模板吗?没有这个命令可以创建插件吗?PS:我正在使用Rails3.2.1和ruby1.8.7[universal-darwin11.0] 最佳答案 随着Rails3.2.0的发布,插件生成器已经被移除。查看变更日志here.现在
我在我的项目中添加了一个系统来重置用户密码并通过电子邮件将密码发送给他,以防他忘记密码。昨天它运行良好(当我实现它时)。当我今天尝试启动服务器时,出现以下错误。=>BootingWEBrick=>Rails3.2.1applicationstartingindevelopmentonhttp://0.0.0.0:3000=>Callwith-dtodetach=>Ctrl-CtoshutdownserverExiting/Users/vinayshenoy/.rvm/gems/ruby-1.9.3-p0/gems/actionmailer-3.2.1/lib/action_mailer
我尝试运行2.x应用程序。我使用rvm并为此应用程序设置其他版本的ruby:$rvmuseree-1.8.7-head我尝试运行服务器,然后出现很多错误:$script/serverNOTE:Gem.source_indexisdeprecated,useSpecification.Itwillberemovedonorafter2011-11-01.Gem.source_indexcalledfrom/Users/serg/rails_projects_terminal/work_proj/spohelp/config/../vendor/rails/railties/lib/r
刚入门rails,开始慢慢理解。有人可以解释或给我一些关于在application_controller中编码的好处或时间和原因的想法吗?有哪些用例。您如何为Rails应用程序使用应用程序Controller?我不想在那里放太多代码,因为据我了解,每个请求都会调用此Controller。这是真的? 最佳答案 ApplicationController实际上是您应用程序中的每个其他Controller都将从中继承的类(尽管这不是强制性的)。我同意不要用太多代码弄乱它并保持干净整洁的态度,尽管在某些情况下ApplicationContr