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new a501ded234c [INLONG-990][Doc] Add quick start guide for offline data
sync from Pulsar to MySQL (#991)
a501ded234c is described below
commit a501ded234c7700d7b9358fa686c668a383c300d
Author: AloysZhang <[email protected]>
AuthorDate: Fri Sep 27 22:50:05 2024 +0800
[INLONG-990][Doc] Add quick start guide for offline data sync from Pulsar
to MySQL (#991)
Co-authored-by: Aloys Zhang <[email protected]>
---
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+{
+ "label": "Data Offline Synchronization",
+ "position": 4
+}
\ No newline at end of file
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+---
+title: Pulsar to MySQL Example
+sidebar_position: 1
+---
+
+In the following content, we will introduce how to use Apache InLong to create
offline data synchronization from Pulsar to MySQL through a complete example.
+
+## Deployment
+### Install InLong
+
+Before we begin, we need to install InLong. Here we provide two ways:
+- [Docker Deployment](deployment/docker.md) (Recommended)
+- [Bare Metal Deployment](deployment/bare_metal.md)
+
+### Add Connectors
+
+Download the [connectors](https://inlong.apache.org/downloads/) corresponding
to Flink version, and after decompression, place
`sort-connector-jdbc-[version]-SNAPSHOT.jar` in `/inlong-sort/connectors/`
directory.
+> Currently, Apache InLong's offline data synchronization capability only
supports Flink-1.18, so please download the 1.18 version of connectors.
+
+### Install Pulsar
+First, download the binary release package of Pulsar (the version can be
modified as needed):
+
+```shell
+ wget
https://archive.apache.org/dist/pulsar/pulsar-3.3.1/apache-pulsar-3.3.1-bin.tar.gz
+```
+Then, unzip it:
+```shell
+ tar xvfz apache-pulsar-3.3.1-bin.tar.gz
+```
+Navigate to the Pulsar directory:
+```shell
+ cd apache-pulsar-3.3.1
+```
+Quickly start a Pulsar cluster in Standalone mode:
+```shell
+ sh bin/pulsar-daemon start standalone
+```
+After starting, the Pulsar cluster will have：
+- `adminUrl` as http://localhost:8080
+- `serviceUrl` as pulsar://localhost:6650
+
+You can manage the cluster through `adminUrl` and produce and consume data via
`serviceUrl`.
+
+## Cluster Initialize
+When all containers are successfully started, you can access the InLong
dashboard address http://localhost, and use the following default account to
log in.
+```
+User: admin
+Password: inlong
+```
+
+### Create Cluster Tag
+Click [Clusters] -> [ClusterTags] -> [Create] on the page to specify the
cluster label name and person in charge.
+
+
+
+**caution: `default_cluster` is the default ClusterTags for each component. If
you decide to use a different name, make sure to update the corresponding tag
configuration accordingly.**
+
+### Register Pulsar Cluster
+
+
+
+**You can refer to the screenshot information to fill in details such as
cluster name, associated tag, and Pulsar cluster address.**
+
+## Task Creation
+### Create Data Stream Group
+Click on [Synchronization]→[Create], fill in the Group ID, and ensure the
[Sync Type] is checked as "Offline".
+
+
+
+
+### Configuration Scheduling Rules
+After selecting "offline" for [Sync Type], you can configure the [Scheduling
Rules] for offline tasks. Currently, two types are supported: Conventional and
Crontab.
+
+Conventional Scheduling Configuration requires the following parameters:
+- Scheduling Unit: Supports minutes, hours, days, months, years, and single
execution (single execution means it will run only once).
+- Scheduling Interval: Indicates the time interval between two task schedules.
+- Delay Time: Indicates the delay time for task startup.
+- Valid Time: Includes start time and end time; the scheduled task will only
execute within this time range.
+
+
+
+Crontab Scheduling requires the following parameters:
+- Valid Time: Includes start time and end time; the scheduled task will only
execute within this time range.
+- Crontab Expression: Indicates the task cycle, e.g., `0 */5 * * * ?`
+
+
+
+### Create Data Source
+In the data source section, click [Create] → [Pulsar], and configure the data
source name, Pulsar tenant, namespace, topic, admin URL, service URL, data
format, and other parameters.
+
+
+
+Note: The Pulsar topic needs to be created in the Pulsar cluster in advance
(or enable the automatic topic creation feature in the Pulsar cluster).
+
+### Create Data Sink
+
+Create the target MySQL table; the example SQL is as follows:
+
+```sql
+CREATE TABLE sink_table (
+ id INT AUTO_INCREMENT PRIMARY KEY,
+ name VARCHAR(255) NOT NULL,
+ create_time TIMESTAMP DEFAULT CURRENT_TIMESTAMP
+);
+```
+
+In the data sink section, click [Create] → [MySQL], and configure the data
sink name, database name, and table name (test.source_table), among other
information.
+
+
+
+### Configure source and sink fields
+
+Configure schema mapping information in the [Source fields] and [Sink fields]
sections, and click [Submit] for approval.
+
+
+
+
+
+### Approval data flow
+
+On the page, click [Approval] -> [My Approvals] -> [Approve] → [OK].
+
+
+
+Return to the [Synchronization] page and wait for the task configuration to
succeed. Once configured successfully, the Manager will periodically submit
Flink Batch Jobs to the Flink cluster.
+
+
+
+## Test Data
+### Sending Data
+
+Use the Pulsar SDK to produce data into the Pulsar topic. An example is as
follows:
+```java
+ // Create Pulsar client and producer
+ PulsarClient pulsarClient =
PulsarClient.builder().serviceUrl("pulsar://localhost:6650").build();
+ Producer<byte[]> producer =
pulsarClient.newProducer().topic("public/default/test").create();
+
+ // Send messages
+ for (int i = 0; i < 10000; i++) {
+ // Field separator is |
+ String msgStr = i + "|msg-" + i;
+ MessageId msgId =
producer.send(msgStr.getBytes(StandardCharsets.UTF_8));
+ System.out.println("Send msg : " + msgStr + " with msgId: " +
msgId);
+ }
+```
+
+### Data Validation
+
+Then enter MySQL to check the data in the table:
+
+
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+---
+title: Pulsar 到 MySQL 示例
+sidebar_position: 1
+---
+
+在下面的内容中，我们将通过一个完整的示例介绍如何使用 Apache InLong 创建 Pulsar -> MySQL 的离线数据同步。
+
+## 环境部署
+### 安装 InLong
+
+在开始之前，我们需要安装 InLong 的全部组件，这里提供两种方式：
+- [Docker 部署](deployment/docker.md)（推荐）
+- [Bare Metal 部署](deployment/bare_metal.md)
+
+### 添加 Connectors
+
+下载与 Flink 版本对应的 [connectors](https://inlong.apache.org/zh-CN/downloads)，解压后将
`sort-connector-jdbc-[version]-SNAPSHOT.jar` 放在 `/inlong-sort/connectors/` 目录下。
+> 当前 Apache InLong 的离线数据同步能力只支持 Flink-1.18 版本，所以请下载 1.18 版本的 connectors。
+
+### 安装 Pulsar
+
+首先下载 Pulsar 的二进制发布包（版本可以根据需要修改）:
+```shell
+ wget
https://archive.apache.org/dist/pulsar/pulsar-3.3.1/apache-pulsar-3.3.1-bin.tar.gz
+```
+然后，解压:
+```shell
+ tar xvfz apache-pulsar-3.3.1-bin.tar.gz
+```
+进入 Pulsar 目录：
+```shell
+ cd apache-pulsar-3.3.1
+```
+通过 Standalone 的方式快速启动一个 Pulsar 集群：
+```shell
+ sh bin/pulsar-daemon start standalone
+```
+启动之后的 Pulsar 集群：
+- `adminUrl` 为 `http://localhost:8080`
+- `serviceUrl` 为 `pulsar://localhost:6650`
+
+可以通过 `adminUrl` 来管理集群，通过 `serviceUrl` 进行数据的生产和消费。
+
+## 集群初始化
+InLong 服务启动后，可以访问 InLong Dashboard 地址 http://localhost，并使用以下默认账号登录:
+```
+User: admin
+Password: inlong
+```
+### 创建集群标签
+页面点击 【集群管理】→【标签管理】→【新建】
+
+
+
+**注意：default_cluster 是各个组件默认的集群标签，如果使用其它名称，确认对应标签配置已修改。**
+
+### 注册 Pulsar 集群
+
+
+
+**可以参考截图信息填写，包括集群名称、所属标签、Pulsar 集群地址等。**
+
+## 任务创建
+### 新建数据流组
+页面点击【数据同步】→【新建数据同步】，填写 数据流组 ID，注意同步类型勾选为“离线”。
+
+
+
+### 配置调度规则
+在同步类型勾选为“离线”之后，就可以配置离线任务的调度规则，目前支持两种：常规和 crontab。
+
+常规调度配置需要设置以下参数：
+- 调度单位：支持分钟、小时、天、月、年以及单次，单次表示只执行一次
+- 调度周期：表示两次任务调度之间的时间间隔
+- 延迟时间：表示任务启动的延迟时间
+- 有效时间：包括起始时间和结束时间，调度任务只会在这个时间范围内执行
+
+
+
+crontab调度需要设置以下参数：
+- 有效时间：包括起始时间和结束时间，调度任务只会在这个时间范围内执行
+- crontab 表达式：表示任务的周期，比如 0 */5 * * * ?
+
+
+
+### 新建数据源
+
+数据来源中 点击 【新建】→【Pulsar】，配置数据源名称、Pulsar tenant、namespace、topic、admin url、service
url、数据格式等参数。
+
+
+
+注：Pulsar 的 topic 需要预先在 Pulsar 集群创建（或者在 Pulsar 集群开启自动创建 topic 功能）。
+
+### 新建数据目标
+
+创建目标 MySQL 表，示例 SQL 如下：
+```sql
+CREATE TABLE sink_table (
+ id INT AUTO_INCREMENT PRIMARY KEY,
+ name VARCHAR(255) NOT NULL,
+ create_time TIMESTAMP DEFAULT CURRENT_TIMESTAMP
+);
+```
+
+数据目标中 点击 【新建】→【MySQL】，配置数据源名称、库名和表名（test.source_table）等信息信息等。
+
+
+
+### 配置字段信息
+
+分别在 【源字段】 和 【目标字段】中配置 Schema 映射信息，完成后点击 【提交审批】
+
+
+
+
+
+### 审批数据流
+
+页面点击【审批管理】->【我的审批】->【详情】->【通过】
+
+
+
+返回 【数据同步】页面，等待任务配置成功，配置成功后，Manager 会周期提交 Flink Batch Job 到 Flink 集群。
+
+
+
+## 测试数据
+### 发送数据
+
+通过 Pulsar SDK 生产数据写入的 Pulsar topic 中，示例如下：
+```java
+ // 创建 pulsar client 和 producer
+ PulsarClient pulsarClient =
PulsarClient.builder().serviceUrl("pulsar://localhost:6650").build();
+ Producer<byte[]> producer =
pulsarClient.newProducer().topic("public/default/test").create();
+
+ // 发送消息
+ for (int i = 0; i < 10000; i++) {
+ // 字段分隔符为 |
+ String msgStr = i + "|msg-" + i;
+ MessageId msgId =
producer.send(msgStr.getBytes(StandardCharsets.UTF_8));
+ System.out.println("Send msg : " + msgStr + " with msgId: " +
msgId);
+ }
+```
+
+### 数据验证
+
+然后进入 Mysql，查看库表数据，可以看到数据已经同步到 MySQL 中。
+
+
