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[FLINK-35745] add documentation for flink lineage
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docs/content.zh/docs/deployment/advanced/job_status_listener.md
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--- | ||
title: "作业状态改变监听器" | ||
nav-title: job-status-listener | ||
nav-parent_id: advanced | ||
nav-pos: 5 | ||
--- | ||
<!-- | ||
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. | ||
--> | ||
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## 作业状态改变监听器 | ||
Flink 为用户提供了一个可插入接口,用于注册处理作业状态变化的自定义逻辑,其中提供了有关源/接收器的沿袭信息。这使用户能够实现自己的 Flink 数据血缘报告器,将沿袭信息发送到第三方数据沿袭系统,例如 Datahub 和 Openlineage。 | ||
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每次应用程序发生状态更改时,都会触发作业状态更改监听器。数据沿袭信息包含在 JobCreatedEvent 中。 | ||
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### 为你的自定义丰富器实现插件 | ||
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要实现自定义 JobStatusChangedListener 插件,您需要: | ||
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- 添加自己的 JobStatusChangedListener 通过实现 {{< gh_link file="/flink-core/src/main/java/org/apache/flink/core/execution/JobStatusChangedListener.java" name="JobStatusChangedListener" >}} 接口。 | ||
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- 添加自己的 JobStatusChangedListenerFactory 通过实现 {{< gh_link file="/flink-core/src/main/java/org/apache/flink/core/execution/JobStatusChangedListenerFactory.java" name="JobStatusChangedListenerFactory" >}} 接口。 | ||
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- 添加Java服务条目。创建文件 `META-INF/services/org.apache.flink.core.execution.JobStatusChangedListenerFactory` 其中包含您的作业状态更改侦听器工厂类的类名 (请看 [Java Service Loader](https://docs.oracle.com/en/java/javase/17/docs/api/java.base/java/util/ServiceLoader.html) 文档了解更多详情)。 | ||
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然后,创建一个包含 `JobStatusChangedListener`, `JobStatusChangedListenerFactory`, `META-INF/services/` 以及所有外部依赖项的 Java 库. | ||
在 Flink 发行版的 `plugins/` 中创建一个目录,使用任意名称,例如“job-status-changed-listener”,并将 jar 放入此目录中。 | ||
有关更多详细信息,请参阅 [Flink Plugin]({{< ref "docs/deployment/filesystems/plugins" >}})。 | ||
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JobStatusChangedListenerFactory 示例: | ||
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``` java | ||
package org.apache.flink.test.execution; | ||
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public static class TestingJobStatusChangedListenerFactory | ||
implements JobStatusChangedListenerFactory { | ||
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@Override | ||
public JobStatusChangedListener createListener(Context context) { | ||
return new TestingJobStatusChangedListener(); | ||
} | ||
} | ||
``` | ||
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JobStatusChangedListener 示例: | ||
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``` java | ||
package org.apache.flink.test.execution; | ||
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private static class TestingJobStatusChangedListener implements JobStatusChangedListener { | ||
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@Override | ||
public void onEvent(JobStatusChangedEvent event) { | ||
statusChangedEvents.add(event); | ||
} | ||
} | ||
``` | ||
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### 配置 | ||
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Flink 组件在启动时加载 JobStatusChangedListener 插件。为确保加载 JobStatusChangedListener 的所有实现,所有类名都应定义在 [execution.job-status-changed-listeners]({{< ref "docs/deployment/config#execution.job-status-changed-listeners" >}}). | ||
如果此配置为空,则不会启动任何监听器。例如 | ||
``` | ||
execution.job-status-changed-listeners = org.apache.flink.test.execution.TestingJobStatusChangedListenerFactory | ||
``` |
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--- | ||
title: 数据血缘 | ||
weight: 12 | ||
type: docs | ||
aliases: | ||
- /zh/internals/data_lineage.html | ||
--- | ||
<!-- | ||
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. | ||
--> | ||
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# 原生血缘支持 | ||
数据血缘在数据生态系统中变得越来越重要。随着 Apache Flink 被广泛用于流数据湖中的数据提取和 ETL,我们需要一个端到端的沿袭解决方案,用于包括但不限于以下场景: | ||
- `数据质量保证`: 通过将数据错误追溯到数据管道内的来源来识别和纠正数据不一致. | ||
- `数据治理`: 通过记录数据来源和转换来建立明确的数据所有权和责任制. | ||
- `数据合规`: 通过在整个生命周期中跟踪数据流和转换,确保遵守数据隐私和合规性法规. | ||
- `数据优化`: 识别冗余的数据处理步骤并优化数据流以提高效率. | ||
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Apache Flink 为满足社区需求提供了原生的沿袭支持,它提供了一个内部沿袭数据模型和 [作业状态监听器]({{< ref "docs/deployment/advanced/job_status_listener" >}}) 以便开发人员将血缘元数据集成到外部系统中,例如 [OpenLineage](https://openlineage.io). | ||
在 Flink 运行时创建作业时,包含沿袭图元数据的 JobCreatedEvent 将被发送到这个作业状态监听器里. | ||
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# 血统数据模型 | ||
Flink 原生的 Lineage 接口分为两层定义,第一层是所有 Flink 作业和 Connector 的通用接口,第二层则单独定义了 Table 和 DataStream 的扩展接口,接口和类的关系定义如下图所示。 | ||
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{{< img src="/fig/lineage_interfaces.png" alt="Lineage Data Model" width="80%">}} | ||
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默认情况下,Table 相关的 lineage 接口或类主要在 Flink Table Runtime 中使用,因此 Flink 用户不需要接触这些接口。Flink 社区将逐步支持所有 | ||
常见的连接器,例如 Kafka、JDBC、Cassandra、Hive 等。如果您定义了自定义连接器,则需要自定义 source/sink 实现 LineageVertexProvider 接口。 | ||
在 LineageVertex 中,定义了一个 Lineage Dataset 列表作为 Flink source/sink 的元数据。 | ||
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```java | ||
@PublicEvolving | ||
public interface LineageVertexProvider { | ||
LineageVertex getLineageVertex(); | ||
} | ||
``` | ||
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接口详细信息请参考 [FLIP-314](https://cwiki.apache.org/confluence/display/FLINK/FLIP-314%3A+Support+Customized+Job+Lineage+Listener). | ||
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# Naming Conventions | ||
对于每个 Lineage Dataset,我们需要定义它自己的名称和命名空间,以区分 Flink 应用程序连接器中使用的不同数据存储和相应实例。 | ||
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| Data Store | Connector Type | Namespace | Name | | ||
|------------|-----------------|----------------------------------------|----------------------------------------------------------| | ||
| Kafka | Kafka Connector | kafka://{bootstrap server host}:{port} | topic | | ||
| MySQL | JDBC Connector | mysql://{host}:{port} | {database}.{table} | | ||
| Sql Server | JDBC Connector | sqlserver://{host}:{port} | {database}.{table} | | ||
| Postgres | JDBC Connector | postgres://{host}:{port} | {database}.{schema}.{table} | | ||
| Oracle | JDBC Connector | oracle://{host}:{port} | {serviceName}.{schema}.{table} or {sid}.{schema}.{table} | | ||
| Trino | JDBC Connector | trino://{host}:{port} | {catalog}.{schema}.{table} | | ||
| OceanBase | JDBC Connector | oceanbase://{host}:{port} | {database}.{table} | | ||
| DB2 | JDBC Connector | db2://{host}:{port} | {database}.{table} | | ||
| CrateDB | JDBC Connector | cratedb://{host}:{port} | {database}.{table} | | ||
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这是一个正在更新的表。当特定连接器的血统集成完成后,添加越来越多的命名信息将被添加进入这个表中。 |
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--- | ||
title: Data Lineage | ||
weight: 12 | ||
type: docs | ||
aliases: | ||
- /internals/data_lineage.html | ||
--- | ||
<!-- | ||
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. | ||
--> | ||
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# Native Lineage Support | ||
Data lineage has gain more and more criticality in data ecosystem. As Apache Flink is widely used for data ingestion and ETL in Streaming Data Lake, we need | ||
an end to end lineage solution for scenarios including but not limited to: | ||
- `Data Quality Assurance`: Identifying and rectifying data inconsistencies by tracing data errors back to their origin within the data pipeline. | ||
- `Data Governance`: Establishing clear data ownership and accountability by documenting data origins and transformations. | ||
- `Regulatory Compliance`: Ensuring adherence to data privacy and compliance regulations by tracking data flow and transformations throughout its lifecycle. | ||
- `Data Optimization`: Identifying redundant data processing steps and optimizing data flows to improve efficiency. | ||
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Apache Flink provides a native lineage support for the community requirement by providing an internal lineage data model and [Job Status Listener]({{< ref "docs/deployment/advanced/job_status_listener" >}}) for | ||
developer to integrate lineage metadata into external lineage system, for example [OpenLineage](https://openlineage.io). When a job is created in Flink runtime, the JobCreatedEvent | ||
contains the Lineage Graph metadata will be sent to Job Status Listeners. | ||
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# Lineage Data Model | ||
Flink native lineage interfaces are defined in two layers. The first layer is the generic interface for all Flink jobs and connector, and the second layer defines | ||
the extended interfaces for Table and DataStream independently. The interface and class relationship are defined in the diagram below. | ||
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{{< img src="/fig/lineage_interfaces.png" alt="Lineage Data Model" width="80%">}} | ||
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By default, Table related lineage interfaces or classes are mainly used in Flink Table Runtime, thus Flink users doesn't need to touch these interfaces. Flink community will gradually support all | ||
of common connectors, such as Kafka, JDBC, Cassandra, Hive and so on. If you have customized connector defined, you need to have customized source/sink implements the LineageVertexProvider interface. | ||
Within a LineageVertex, a list of Lineage Dataset is defined as metadata for Flink source/sink. | ||
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```java | ||
@PublicEvolving | ||
public interface LineageVertexProvider { | ||
LineageVertex getLineageVertex(); | ||
} | ||
``` | ||
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For the interface details, please refer to [FLIP-314](https://cwiki.apache.org/confluence/display/FLINK/FLIP-314%3A+Support+Customized+Job+Lineage+Listener). | ||
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# Naming Conventions | ||
For each of Lineage Dataset, we need to define its own name and namespace to distinguish different data store and corresponding instance used in the connector of a Flink application. | ||
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| Data Store | Connector Type | Namespace | Name | | ||
|------------|-----------------|----------------------------------------|----------------------------------------------------------| | ||
| Kafka | Kafka Connector | kafka://{bootstrap server host}:{port} | topic | | ||
| MySQL | JDBC Connector | mysql://{host}:{port} | {database}.{table} | | ||
| Sql Server | JDBC Connector | sqlserver://{host}:{port} | {database}.{table} | | ||
| Postgres | JDBC Connector | postgres://{host}:{port} | {database}.{schema}.{table} | | ||
| Oracle | JDBC Connector | oracle://{host}:{port} | {serviceName}.{schema}.{table} or {sid}.{schema}.{table} | | ||
| Trino | JDBC Connector | trino://{host}:{port} | {catalog}.{schema}.{table} | | ||
| OceanBase | JDBC Connector | oceanbase://{host}:{port} | {database}.{table} | | ||
| DB2 | JDBC Connector | db2://{host}:{port} | {database}.{table} | | ||
| CrateDB | JDBC Connector | cratedb://{host}:{port} | {database}.{table} | | ||
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It is a running table. More and more naming info will be added after lineage integration is finished for a specific connector. |
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