echo "Not able to auto-create topic (waited for $START_TIMEOUT sec)" exit 1 fi if [[ -n $KAFKA_CREATE_TOPICS ]]; then IFS=','; for topicToCreate in $KAFKA_CREATE_TOPICS; do echo "creating topics: $topicToCreate" IFS=':' read -a topicConfig <<< "$topicToCreate" if [ ${...
> bin/kafka-configs.sh –zookeeper localhost:2181 –entity-type topics –entity-name my-topic –alter –add-config max.message.bytes=128000 要检查在主题上设置的覆盖,您可以执行 > bin/kafka-configs.sh –zookeeper localhost:2181 –entity-type topics –entity-name my-topic –describe 或者是删除指...
kafka-docker/create-topics.sh Go to file Copy path executable file49 lines (43 sloc)1.19 KB RawBlame #!/bin/bash if[[-z"$KAFKA_CREATE_TOPICS"]];then exit0 fi if[[-z"$START_TIMEOUT"]];then START_TIMEOUT=600 fi start_timeout_exceeded=false ...
KAFKA_0_10_OPTS="--if-not-exists" fi # Expected format: # name:partitions:replicas:cleanup.policy IFS="${KAFKA_CREATE_TOPICS_SEPARATOR-,}"; for topicToCreate in $KAFKA_CREATE_TOPICS; do echo "creating topics: $topicToCreate" IFS=':' read -r -a topicConfig <<< "$topicTo...
Docker修改autoCreateTopicEnable流程 概述 在Docker中修改autoCreateTopicEnable属性,需要按照以下步骤进行操作。首先,确认Docker是否已安装,并确保已登录到Docker主机。然后,使用Docker命令行工具进入到所需的容器,并修改Kafka配置文件。最后,重启Kafka服务以使更改生效。
$ /usr/local/kafka/bin/kafka-topics.sh --create --zookeeper localhost:2181 --replication-factor 1 --partitions 1 --topic test Error while executing topic command : Replication factor: 1 larger than available brokers: 0. [2021-01-18 12:29:44,869] ERROR org.apache.kafka.common.errors...
The connector feature is enabled for the Message Queue for Apache Kafka instance. For more information, see Enable the connector feature. A topic is created as the data source in the Message Queue for Apache Kafka instance. For more information, see Step 1: Create a topic. Tablestore Table...
Kafka Y N Data source to read streaming data from a Kafka topic. Example: Create an external stream input/output object for Azure IoT Edge hub The following example creates an external stream object for Azure IoT Edge hub. To create an external stream input/output data source for Azure IoT...
是指在使用Spark的KafkaUtils库中的CreateRDD方法时,可以通过应用过滤器来对从Kafka主题中读取的数据进行筛选和过滤。 具体来说,CreateRDD方法用于从Kafka主题中读取数据并创建一个RDD(弹性分布式数据集)。在创建RDD时,可以通过应用过滤器来指定只选择满足特定条件的数据。
Create Docker containers in SageMaker for model training in Step Functions Deploy a RAG use case on AWS Deploy multiple pipeline model objects in a single SageMaker endpoint Develop AI chat-based assistants by using RAG and ReAct prompting Develop a chat-based assistant using Amazon Bedrock Docu...