http://blog.csdn.net/xiajun07061225/article/details/47068451 本文为network connectors的static connector学习笔记 Network connectors broker网络能够创建多个相互连接的ActiveMq实例组成的簇，以应对更加复杂的消息场景。 Network connectors提供了broker之间的通信。 默认情况下，network connector是单向通道，它只会把收到的消息投递给与之建立连接的另一个broker。 -- The transport connectors ActiveMQ will listen to --> <transportConnectors> <transportConnector -- The transport connectors ActiveMQ will listen to --> <transportConnectors> <transportConnector
参考 Streaming Connectors Kafka官方文档
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前言 关于web页面上的选项，通常我们需要断言选项的个数，遍历每个选项的内容. .each() <li data-cypress-el cy.get('.connectors-each-ul>li') .each(function($el, index, $list){ console.log($el, index, $list ) }) .its() 判断选项里面元素个数 Chai <li cy.get('.connectors-its-ul>li') // calls the 'length' property returning that value .its('length' cy.get('.connectors-list>li').then(function($lis){ expect($lis).to.have.length(3) expect($lis.eq(
Flink Connector相关的基础知识会在《Apache Flink 漫谈系列(14) - Connectors》中介绍，这里我们直接介绍与Kafka Connector相关的内容。 org.apache.flink.streaming.api.environment.StreamExecutionEnvironment; import org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer ; import org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer; import org.apache.flink.streaming.util.serialization.KeyedSerializationSchemaWrapper org.apache.flink.streaming.api.windowing.assigners.TumblingEventTimeWindows; import org.apache.flink.streaming.api.windowing.time.Time; import org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer ; import org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer; import org.apache.flink.streaming.util.serialization.KeyedSerializationSchemaWrapper
---- Connectors JDBC Apache Flink 1.12 Documentation: JDBC Connector 代码演示 package cn.it.connectors;
HYPER_LOG_LOG PFADD SORTED_SET ZADD SORTED_SET ZREM 需求 将Flink集合中的数据通过自定义Sink保存到Redis 代码实现 package cn.it.connectors org.apache.flink.streaming.api.environment.StreamExecutionEnvironment; import org.apache.flink.streaming.connectors.redis.RedisSink ; import org.apache.flink.streaming.connectors.redis.common.config.FlinkJedisPoolConfig; import org.apache.flink.streaming.connectors.redis.common.mapper.RedisCommand ; import org.apache.flink.streaming.connectors.redis.common.mapper.RedisCommandDescription; import org.apache.flink.streaming.connectors.redis.common.mapper.RedisMapper
//ci.apache.org/projects/flink/flink-docs-release-1.13/docs/connectors/datastream/kafka/ 参数设置 以下参数都必须 --partitions 4 --topic flink_kafka --zookeeper node1:2181 代码实现-Kafka Consumer package cn.it.connectors ; private String name; private Integer age; } } 代码实现-实时ETL package cn.it.connectors ; import org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer; import java.util.Properties ; /** * Author lanson * Desc 演示Flink-Connectors-KafkaComsumer/Source + KafkaProducer/Sink */ public
) { for (int i = 0; i < connectors.length; i++) connectors[i].setContainer = j) results[k++] = connectors[i]; } connectors = results second synchronized (connectors) { for (int i = 0; i < connectors.length; i++) { if (connectors[i] instanceof Lifecycle) ((Lifecycle) connectors[ first synchronized (connectors) { for (int i = 0; i < connectors.length; i++) {
2.测试上传点 FCKeditor/editor/filemanager/browser/default/connectors/test.html FCKeditor/editor/filemanager /upload/test.html FCKeditor/editor/filemanager/connectors/test.html FCKeditor/editor/filemanager/connectors Type=Image&Connector=http://www.site.com/fckeditor/editor/filemanager/connectors/aspx/connector.aspx Type=Image&Connector=connectors/php/connector.php 3.突破限制 3.1 上传限制 上传限制的突破方式很多，主要还是抓包改扩展名，%00截断，添加文件头等 3.3 IIS6.0突破文件夹限制 Fckeditor/editor/filemanager/connectors/asp/connector.asp?
GET /connectors – 返回所有正在运行的connector名 POST /connectors – 新建一个connector; 请求体必须是json格式并且需要包含name字段和config GET /connectors/{name} – 获取指定connetor的信息 GET /connectors/{name}/config – 获取指定connector的配置信息 PUT /connectors GET /connectors/{name}/tasks/{taskid}/status – 获取指定connector的task的状态信息 PUT /connectors/{name}/pause GET /connectors/{name} – 获取指定connetor的信息 GET /connectors/{name}/config – 获取指定connector的配置信息 PUT /connectors GET /connectors/{name}/tasks/{taskid}/status – 获取指定connector的task的状态信息 PUT /connectors/{name}/pause
3) GET connectors/(string:name) 获取connector的详细信息 4) GET connectors/(string:name)/config 获取connector的配置 5) PUT connectors/(string:name)/config 设置connector的配置 6) GET connectors/(string:name)/status 获取connector 状态 7) POST connectors/(stirng:name)/restart 重启connector 8) PUT connectors/(string:name)/pause 暂停connector 9) PUT connectors/(string:name)/resume 恢复connector 10) DELETE connectors/(string:name)/ 删除connector 11) GET connectors/(string:name)/tasks 获取connectors任务列表 12) GET /connectors/(string: name)/tasks/(int
通过 connectors可以将大数据从其它系统导入到Kafka中，也可以从Kafka中导出到其它系统。 - GET /connectors/{name} – 获取指定connetor的信息。 - GET /connectors/{name}/config – 获取指定connector的配置信息。 - PUT /connectors/{name}/config – 更新指定connector的配置信息。 - PUT /connectors/{name}/resume – 恢复一个被暂停的connector。 - POST /connectors/{name}/restart – 重启一个connector，尤其是在一个connector运行失败的情况下比较常用 - POST /connectors/{name
以下是当前支持的终端入口： GET /connectors - 返回活跃的connector列表 POST /connectors - 创建一个新的connector；请求的主体是一个包含字符串name GET /connectors/{name} - 获取指定connector的信息 GET /connectors/{name}/config - 获取指定connector的配置参数 PUT /connectors GET /connectors/{name}/tasks - 获取当前正在运行的connector的任务列表。 GET /connectors/{name}/tasks/{taskid}/status - 获取任务的当前状态，包括是否是运行中的， 失败的，暂停的等， PUT /connectors/{name}/ PUT /connectors/{name}/resume - 恢复暂停的connector（如果connector没有暂停，则什么都不做） POST /connectors/{name}/restart
GET http://172.17.228.163:8083/connectors delete connnector curl -XDELETE ‘http://172.17.228.163:8083 /connectors/debezium’ 创建source debezium connector curl -H “Content-Type:application/json” -XPUT ‘http /debezium/status delete connnector curl -XDELETE ‘http://172.17.228.163:8083/connectors/jdbc-sink’ 创建 sink jdbc connector curl -H “Content-Type:application/json” -XPUT ‘http://172.17.228.163:8083/connectors status GET http://172.17.228.163:8083/connectors/jdbc-sink/status ``` 实验 在tx_refund_bill表中insert数据,观察
Community disabled mysql-cluster-7.6-community-source MySQL Cluster 7.6 Community - disabled mysql-connectors-community /x86_64 MySQL Connectors Community enabled: 42 mysql-connectors-community-source MySQL Connectors Community disabled mysql-cluster-7.6-community-source MySQL Cluster 7.6 Community - disabled mysql-connectors-community /x86_64 MySQL Connectors Community enabled: 42 mysql-connectors-community-source MySQL Connectors
received; private final Object waitLock = new Object(); private final Map<String, DiscoveryEntry> connectors changed on Discovery:"); for (DiscoveryEntry connector : connectors.values()) { } DiscoveryRunnable实现了Runnable接口，其run方法通过endpoint.receiveBroadcast()接收数据，之后解析为DiscoveryEntry更新到connectors ()); for (TransportConfiguration tcConfig : connectors) { tcConfig.encode(buff); BroadcastGroupImpl实现了BroadcastGroup及Runnable方法，其run方法执行broadcastConnectors；broadcastConnectors方法则遍历connectors
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