Kafka Connect REST Interface
Since Kafka Connect is intended to be run as a service, it also supports a REST API for managing connectors. By default this service runs on port 8083. When executed in distributed mode, the REST API will be the primary interface to the cluster. You can make requests to any cluster member; the REST API automatically forwards requests if required.
Although you can use the standalone mode just by submitting a connector on the command line, it also runs the REST interface. This is useful for getting status information, adding and removing connectors without stopping the process, and more.
Currently the top level resources are connector and connector-plugins. The sub-resources for connector lists configuration settings and tasks and the sub-resource for connector-plugins provides configuration validation and recommendation.
Note that if you try to modify, update or delete a resource under connector which may require the request to be forwarded to the leader, Connect will return status code 409 while the worker group rebalance is in process as the leader may change during rebalance.
Content Types
Currently the REST API only supports application/json as both the request and response entity content type. Your requests should specify the expected content type of the response via the HTTP Accept header:
Accept: application/json
and should specify the content type of the request entity (if one is included) via the Content-Type header:
Content-Type: application/json
Statuses & Errors
The REST API will return standards-compliant HTTP statuses. Clients should check the HTTP status, especially before attempting to parse and use response entities. Currently the API does not use redirects (statuses in the 300 range), but the use of these codes is reserved for future use so clients should handle them.
When possible, all endpoints will use a standard error message format for all errors (status codes in the 400 or 500 range). For example, a request entity that omits a required field may generate the following response:
HTTP/1.1 422 Unprocessable Entity
Content-Type: application/json {
"error_code": 422,
"message": "config may not be empty"
}Copy
Connectors
GET/connectors-
Get a list of active connectors
Response JSON Object: - connectors (array) -- List of connector names
Example request:
GET /connectors HTTP/1.1
Host: connect.example.com
Accept: application/jsonCopyExample response:
HTTP/1.1 200 OK
Content-Type: application/json ["my-jdbc-source", "my-hdfs-sink"]Copy
POST/connectors-
Create a new connector, returning the current connector info if successful. Return
409 (Conflict)if rebalance is in process.Request JSON Object: - name (string) -- Name of the connector to create
- config (map) -- Configuration parameters for the connector. All values should be strings.
Response JSON Object: - name (string) -- Name of the created connector
- config (map) -- Configuration parameters for the connector.
- tasks (array) -- List of active tasks generated by the connector
- tasks[i].connector (string) -- The name of the connector the task belongs to
- tasks[i].task (int) -- Task ID within the connector.
Example request:
POST /connectors HTTP/1.1
Host: connect.example.com
Content-Type: application/json
Accept: application/json {
"name": "hdfs-sink-connector",
"config": {
"connector.class": "io.confluent.connect.hdfs.HdfsSinkConnector",
"tasks.max": "10",
"topics": "test-topic",
"hdfs.url": "hdfs://fakehost:9000",
"hadoop.conf.dir": "/opt/hadoop/conf",
"hadoop.home": "/opt/hadoop",
"flush.size": "100",
"rotate.interval.ms": "1000"
}
}CopyExample response:
HTTP/1.1 201 Created
Content-Type: application/json {
"name": "hdfs-sink-connector",
"config": {
"connector.class": "io.confluent.connect.hdfs.HdfsSinkConnector",
"tasks.max": "10",
"topics": "test-topic",
"hdfs.url": "hdfs://fakehost:9000",
"hadoop.conf.dir": "/opt/hadoop/conf",
"hadoop.home": "/opt/hadoop",
"flush.size": "100",
"rotate.interval.ms": "1000"
},
"tasks": [
{ "connector": "hdfs-sink-connector", "task": 1 },
{ "connector": "hdfs-sink-connector", "task": 2 },
{ "connector": "hdfs-sink-connector", "task": 3 }
]
}Copy
GET/connectors/(string:name)-
Get information about the connector.
Response JSON Object: - name (string) -- Name of the created connector
- config (map) -- Configuration parameters for the connector.
- tasks (array) -- List of active tasks generated by the connector
- tasks[i].connector (string) -- The name of the connector the task belongs to
- tasks[i].task (int) -- Task ID within the connector.
Example request:
GET /connectors/hdfs-sink-connector HTTP/1.1
Host: connect.example.com
Accept: application/jsonCopyExample response:
HTTP/1.1 200 OK
Content-Type: application/json {
"name": "hdfs-sink-connector",
"config": {
"connector.class": "io.confluent.connect.hdfs.HdfsSinkConnector",
"tasks.max": "10",
"topics": "test-topic",
"hdfs.url": "hdfs://fakehost:9000",
"hadoop.conf.dir": "/opt/hadoop/conf",
"hadoop.home": "/opt/hadoop",
"flush.size": "100",
"rotate.interval.ms": "1000"
},
"tasks": [
{ "connector": "hdfs-sink-connector", "task": 1 },
{ "connector": "hdfs-sink-connector", "task": 2 },
{ "connector": "hdfs-sink-connector", "task": 3 }
]
}Copy
GET/connectors/(string:name)/config-
Get the configuration for the connector.
Response JSON Object: - config (map) -- Configuration parameters for the connector.
Example request:
GET /connectors/hdfs-sink-connector/config HTTP/1.1
Host: connect.example.com
Accept: application/jsonCopyExample response:
HTTP/1.1 200 OK
Content-Type: application/json {
"connector.class": "io.confluent.connect.hdfs.HdfsSinkConnector",
"tasks.max": "10",
"topics": "test-topic",
"hdfs.url": "hdfs://fakehost:9000",
"hadoop.conf.dir": "/opt/hadoop/conf",
"hadoop.home": "/opt/hadoop",
"flush.size": "100",
"rotate.interval.ms": "1000"
}Copy
PUT/connectors/(string:name)/config-
Create a new connector using the given configuration, or update the configuration for an existing connector. Returns information about the connector after the change has been made. Return
409 (Conflict)if rebalance is in process.Request JSON Object: - config (map) -- Configuration parameters for the connector. All values should be strings.
Response JSON Object: - name (string) -- Name of the created connector
- config (map) -- Configuration parameters for the connector.
- tasks (array) -- List of active tasks generated by the connector
- tasks[i].connector (string) -- The name of the connector the task belongs to
- tasks[i].task (int) -- Task ID within the connector.
Example request:
PUT /connectors/hdfs-sink-connector/config HTTP/1.1
Host: connect.example.com
Accept: application/json {
"connector.class": "io.confluent.connect.hdfs.HdfsSinkConnector",
"tasks.max": "10",
"topics": "test-topic",
"hdfs.url": "hdfs://fakehost:9000",
"hadoop.conf.dir": "/opt/hadoop/conf",
"hadoop.home": "/opt/hadoop",
"flush.size": "100",
"rotate.interval.ms": "1000"
}CopyExample response:
HTTP/1.1 201 Created
Content-Type: application/json {
"name": "hdfs-sink-connector",
"config": {
"connector.class": "io.confluent.connect.hdfs.HdfsSinkConnector",
"tasks.max": "10",
"topics": "test-topic",
"hdfs.url": "hdfs://fakehost:9000",
"hadoop.conf.dir": "/opt/hadoop/conf",
"hadoop.home": "/opt/hadoop",
"flush.size": "100",
"rotate.interval.ms": "1000"
},
"tasks": [
{ "connector": "hdfs-sink-connector", "task": 1 },
{ "connector": "hdfs-sink-connector", "task": 2 },
{ "connector": "hdfs-sink-connector", "task": 3 }
]
}CopyNote that in this example the return status indicates that the connector was
Created. In the case of a configuration update the status would have been200 OK.
GET/connectors/(string:name)/status-
Get current status of the connector, including whether it is running, failed or paused, which worker it is assigned to, error information if it has failed, and the state of all its tasks.
Response JSON Object: - name (string) -- The name of the connector.
- connector (map) -- The map containing connector status.
- tasks[i] (map) -- The map containing the task status.
Example request:
GET /connectors/hdfs-sink-connector/status HTTP/1.1
Host: connect.example.comCopyExample response:
HTTP/1.1 200 OK {
"name": "hdfs-sink-connector",
"connector": {
"state": "RUNNING",
"worker_id": "fakehost:8083"
},
"tasks":
[
{
"id": 0,
"state": "RUNNING",
"worker_id": "fakehost:8083"
},
{
"id": 1,
"state": "FAILED",
"worker_id": "fakehost:8083",
"trace": "org.apache.kafka.common.errors.RecordTooLargeException\n"
}
]
}Copy
POST/connectors/(string:name)/restart-
Restart the connector and its tasks. Return
409 (Conflict)if rebalance is in process.Example request:
POST /connectors/hdfs-sink-connector/restart HTTP/1.1
Host: connect.example.comCopyExample response:
HTTP/1.1 200 OK
Copy
PUT/connectors/(string:name)/pause-
Pause the connector and its tasks, which stops message processing until the connector is resumed. This call asynchronous and the tasks will not transition to
PAUSEDstate at the same time.Example request:
PUT /connectors/hdfs-sink-connector/pause HTTP/1.1
Host: connect.example.comCopyExample response:
HTTP/1.1 202 Accepted
Copy
PUT/connectors/(string:name)/resume-
Resume a paused connector or do nothing if the connector is not paused. This call asynchronous and the tasks will not transition to
RUNNINGstate at the same time.Example request:
PUT /connectors/hdfs-sink-connector/resume HTTP/1.1
Host: connect.example.comCopyExample response:
HTTP/1.1 202 Accepted
Copy
DELETE/connectors/(string:name)/-
Delete a connector, halting all tasks and deleting its configuration. Return
409 (Conflict)if rebalance is in process.Example request:
DELETE /connectors/hdfs-sink-connector HTTP/1.1
Host: connect.example.comCopyExample response:
HTTP/1.1 204 No Content
Copy
Tasks
GET/connectors/(string:name)/tasks-
Get a list of tasks currently running for the connector.
Response JSON Object: - tasks (array) -- List of active task configs that have been created by the connector
- tasks[i].id (string) -- The ID of task
- tasks[i].id.connector (string) -- The name of the connector the task belongs to
- tasks[i].id.task (int) -- Task ID within the connector.
- tasks[i].config (map) -- Configuration parameters for the task
Example request:
GET /connectors/hdfs-sink-connector/tasks HTTP/1.1
Host: connect.example.comCopyExample response:
HTTP/1.1 200 OK [
{
"task.class": "io.confluent.connect.hdfs.HdfsSinkTask",
"topics": "test-topic",
"hdfs.url": "hdfs://fakehost:9000",
"hadoop.conf.dir": "/opt/hadoop/conf",
"hadoop.home": "/opt/hadoop",
"flush.size": "100",
"rotate.interval.ms": "1000"
},
{
"task.class": "io.confluent.connect.hdfs.HdfsSinkTask",
"topics": "test-topic",
"hdfs.url": "hdfs://fakehost:9000",
"hadoop.conf.dir": "/opt/hadoop/conf",
"hadoop.home": "/opt/hadoop",
"flush.size": "100",
"rotate.interval.ms": "1000"
}
]Copy
GET/connectors/(string:name)/tasks/(int:taskid)/status-
Get a task's status.
Example request:
GET /connectors/hdfs-sink-connector/tasks/1/status HTTP/1.1
Host: connect.example.comCopyExample response:
HTTP/1.1 200 OK {"state":"RUNNING","id":1,"worker_id":"192.168.86.101:8083"}Copy
POST/connectors/(string:name)/tasks/(int:taskid)/restart-
Restart an individual task.
Example request:POST /connectors/hdfs-sink-connector/tasks/1/restart HTTP/1.1
Host: connect.example.comCopyExample response:
HTTP/1.1 200 OK
Copy
Connector Plugins
GET/connector-plugins/-
Return a list of connector plugins installed in the Kafka Connect cluster. Note that the API only checks for connectors on the worker that handles the request, which means it is possible to see inconsistent results, especially during a rolling upgrade if you add new connector jars.
Response JSON Object: - class (string) -- The connector class name.
Example request:
GET /connector-plugins/ HTTP/1.1
Host: connect.example.comCopyExample response:
HTTP/1.1 200 OK [
{
"class": "io.confluent.connect.hdfs.HdfsSinkConnector"
},
{
"class": "io.confluent.connect.jdbc.JdbcSourceConnector"
}
]Copy
PUT/connector-plugins/(string:name)/config/validate-
Validate the provided configuration values against the configuration definition. This API performs per config validation, returns suggested values and error messages during validation.
Request JSON Object: - config (map) -- Configuration parameters for the connector. All values should be strings.
Response JSON Object: - name (string) -- The class name of the connector plugin.
- error_count (int) -- The total number of errors encountered during configuration validation.
- groups (array) -- The list of groups used in configuration definitions.
- configs[i].definition (map) -- The definition for a config in the connector plugin, which includes the name, type, importance, etc.
- configs[i].value (map) -- The current value for a config, which includes the name, value, recommended values, etc.
Example request:
PUT /connector-plugins/FileStreamSinkConnector/config/validate/ HTTP/1.1
Host: connect.example.com
Accept: application/json {
"connector.class": "org.apache.kafka.connect.file.FileStreamSinkConnector",
"tasks.max": "1",
"topics": "test-topic"
}CopyExample response:HTTP/1.1 200 O
{
"name": "FileStreamSinkConnector",
"error_count": 1,
"groups": [
"Common"
],
"configs": [
{
"definition": {
"name": "topics",
"type": "LIST",
"required": false,
"default_value": "",
"importance": "HIGH",
"documentation": "",
"group": "Common",
"width": "LONG",
"display_name": "Topics",
"dependents": [],
"order": 4
},
"value": {
"name": "topics",
"value": "test-topic",
"recommended_values": [],
"errors": [],
"visible": true
}
},
{
"definition": {
"name": "file",
"type": "STRING",
"required": true,
"default_value": "",
"importance": "HIGH",
"documentation": "Destination filename.",
"group": null,
"width": "NONE",
"display_name": "file",
"dependents": [],
"order": -1
},
"value": {
"name": "file",
"value": null,
"recommended_values": [],
"errors": [
"Missing required configuration \"file\" which has no default value."
],
"visible": true
}
},
{
"definition": {
"name": "name",
"type": "STRING",
"required": true,
"default_value": "",
"importance": "HIGH",
"documentation": "Globally unique name to use for this connector.",
"group": "Common",
"width": "MEDIUM",
"display_name": "Connector name",
"dependents": [],
"order": 1
},
"value": {
"name": "name",
"value": "test",
"recommended_values": [],
"errors": [],
"visible": true
}
},
{
"definition": {
"name": "tasks.max",
"type": "INT",
"required": false,
"default_value": "1",
"importance": "HIGH",
"documentation": "Maximum number of tasks to use for this connector.",
"group": "Common",
"width": "SHORT",
"display_name": "Tasks max",
"dependents": [],
"order": 3
},
"value": {
"name": "tasks.max",
"value": "1",
"recommended_values": [],
"errors": [],
"visible": true
}
},
{
"definition": {
"name": "connector.class",
"type": "STRING",
"required": true,
"default_value": "",
"importance": "HIGH",
"documentation": "Name or alias of the class for this connector. Must be a subclass of org.apache.kafka.connect.connector.Connector. If the connector is org.apache.kafka.connect.file.FileStreamSinkConnector, you can either specify this full name, or use \"FileStreamSink\" or \"FileStreamSinkConnector\" to make the configuration a bit shorter",
"group": "Common",
"width": "LONG",
"display_name": "Connector class",
"dependents": [],
"order": 2
},
"value": {
"name": "connector.class",
"value": "org.apache.kafka.connect.file.FileStreamSinkConnector",
"recommended_values": [],
"errors": [],
"visible": true
}
}
]
} reference:
https://docs.confluent.io/current/connect/references/restapi.html
Kafka Connect REST Interface的更多相关文章
- Streaming data from Oracle using Oracle GoldenGate and Kafka Connect
This is a guest blog from Robin Moffatt. Robin Moffatt is Head of R&D (Europe) at Rittman Mead, ...
- Kafka connect in practice(3): distributed mode mysql binlog ->kafka->hive
In the previous post Kafka connect in practice(1): standalone, I have introduced about the basics of ...
- Kafka Connect Architecture
Kafka Connect's goal of copying data between systems has been tackled by a variety of frameworks, ma ...
- Build an ETL Pipeline With Kafka Connect via JDBC Connectors
This article is an in-depth tutorial for using Kafka to move data from PostgreSQL to Hadoop HDFS via ...
- Kafka connect快速构建数据ETL通道
摘要: 作者:Syn良子 出处:http://www.cnblogs.com/cssdongl 转载请注明出处 业余时间调研了一下Kafka connect的配置和使用,记录一些自己的理解和心得,欢迎 ...
- 使用kafka connect,将数据批量写到hdfs完整过程
版权声明:本文为博主原创文章,未经博主允许不得转载 本文是基于hadoop 2.7.1,以及kafka 0.11.0.0.kafka-connect是以单节点模式运行,即standalone. 首先, ...
- 基于Kafka Connect框架DataPipeline可以更好地解决哪些企业数据集成难题?
DataPipeline已经完成了很多优化和提升工作,可以很好地解决当前企业数据集成面临的很多核心难题. 1. 任务的独立性与全局性. 从Kafka设计之初,就遵从从源端到目的的解耦性.下游可以有很多 ...
- 基于Kafka Connect框架DataPipeline在实时数据集成上做了哪些提升?
在不断满足当前企业客户数据集成需求的同时,DataPipeline也基于Kafka Connect 框架做了很多非常重要的提升. 1. 系统架构层面. DataPipeline引入DataPipeli ...
- 以Kafka Connect作为实时数据集成平台的基础架构有什么优势?
Kafka Connect是一种用于在Kafka和其他系统之间可扩展的.可靠的流式传输数据的工具,可以更快捷和简单地将大量数据集合移入和移出Kafka的连接器.Kafka Connect为DataPi ...
随机推荐
- 【转】SENDING KEY VALUE MESSAGES WITH THE KAFKA CONSOLE PRODUCER
SENDING KEY VALUE MESSAGES WITH THE KAFKA CONSOLE PRODUCER When working with Kafka you might find yo ...
- async/await中reject的问题
promise 返回的 resolve 对象可能用 await 去接,但是 reject 无法用 await 接收到,所以要用 try catch 去处理 例如发送邮件的接口设置: async fun ...
- 用CSS 实现 浮动元素的 水平居中
问题描述: 基本的html结构: <div> <!-- <span>1</span> <span>2</span> <span& ...
- 【noi2017】 整数 线段树or模拟
ORZYYB 题目大意:你需要维护一个有$3\times 10^7$个二进制位的数,有一种修改方式和一种询问方式 对这个数加上$a\times2^b$,其中$|a|≤10^9$,$b≤3\times ...
- JS正则表达式完整教程
JS正则表达式完整教程(略长) 引言 亲爱的读者朋友,如果你点开了这篇文章,说明你对正则很感兴趣. 想必你也了解正则的重要性,在我看来正则表达式是衡量程序员水平的一个侧面标准. 关于正则表达式的教程, ...
- 12-Vue的使用-安装 - 条件渲染
一.安装 1. 去vue官网: https://cn.vuejs.org/ 2. 引入vue.js文件 <body> <script src="vue.js"& ...
- git查看commit提交记录详情
相关的命令: git log:查看所有的commit提交记录: git show: 查看提交的详情: 首先,需要通过git log打印所有commit记录,例如: 1.查看最新的commit:git ...
- MongoDB 建立与删除索引
1.1 在独立服务器上面建立索引 在独立服务器上面创建索引,可以在空闲时间于后台建立索引. 在后台建立索引,可利用background:true参数运行 >db.foo.ensureIndex( ...
- MongoDB新存储引擎WiredTiger实现(事务篇)
导语:计算机硬件在飞速发展,数据规模在急速膨胀,但是数据库仍然使用是十年以前的架构体系,WiredTiger 尝试打破这一切,充分利用多核与大内存时代,开发一种真正满足未来大数据管理所需的数据库.本文 ...
- 2019 ICPC Asia Yinchuan Regional
目录 Contest Info Solutions A. Girls Band Party B. So Easy D. Easy Problem E. XOR Tree F. Function! G. ...