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new 5cf821b873d [INLONG-1119][Doc] Fix Quick Start Chapter
5cf821b873d is described below
commit 5cf821b873dc337a63838ea57d891e73b2c4e132
Author: James Zow <[email protected]>
AuthorDate: Tue Feb 11 16:11:58 2025 +0800
[INLONG-1119][Doc] Fix Quick Start Chapter
Co-authored-by: James Zow <[email protected]>
---
.../file_pulsar_clickhouse_example.md | 6 ++--
.../mysql_kafka_clickhouse_example.md | 2 +-
.../offline_data_sync/airflow_example.md | 4 +--
.../offline_data_sync/dolphinscheduler_example.md | 26 +++++++++---------
.../offline_data_sync/quartz_example.md | 32 ++++++++++++----------
.../realtime_data_sync/mysql_clickhouse_example.md | 2 +-
.../realtime_data_sync/mysql_iceberg_example.md | 4 +--
.../realtime_data_sync/mysql_starrocks_example.md | 4 +--
.../pulsar_clickhouse_example.md | 2 +-
.../file_pulsar_clickhouse_example.md | 6 ++--
.../mysql_kafka_clickhouse_example.md | 2 +-
.../offline_data_sync/airflow_example.md | 4 +--
.../offline_data_sync/dolphinscheduler_example.md | 26 +++++++++---------
.../offline_data_sync/quartz_example.md | 24 ++++++++--------
.../realtime_data_sync/mysql_clickhouse_example.md | 2 +-
.../realtime_data_sync/mysql_iceberg_example.md | 4 +--
.../realtime_data_sync/mysql_starrocks_example.md | 4 +--
.../pulsar_clickhouse_example.md | 2 +-
18 files changed, 80 insertions(+), 76 deletions(-)
diff --git a/docs/quick_start/data_ingestion/file_pulsar_clickhouse_example.md
b/docs/quick_start/data_ingestion/file_pulsar_clickhouse_example.md
index 98ecd52be7d..768020bf01f 100644
--- a/docs/quick_start/data_ingestion/file_pulsar_clickhouse_example.md
+++ b/docs/quick_start/data_ingestion/file_pulsar_clickhouse_example.md
@@ -19,7 +19,7 @@ docker run -d --rm --net=host --name clickhouse -e
CLICKHOUSE_USER=admin -e CLIC
## 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.
-```
+```properties
User: admin
Password: inlong
```
@@ -76,12 +76,12 @@ Back to [Ingestion] page, wait for [configuration success].
## Test Data
### Enter Agent Container
-```
+```shell
docker exec -it agent /bin/bash
```
### Send Data
-```
+```shell
# collect file /data/collect-data/test.log data source configuration path and
total of 10000 data packets are sent.
for i in {1..10000};do echo "name_$i | $i" >> /data/collect-data/test.log;done
```
diff --git a/docs/quick_start/data_ingestion/mysql_kafka_clickhouse_example.md
b/docs/quick_start/data_ingestion/mysql_kafka_clickhouse_example.md
index 2433302e9a8..1772931d2a9 100644
--- a/docs/quick_start/data_ingestion/mysql_kafka_clickhouse_example.md
+++ b/docs/quick_start/data_ingestion/mysql_kafka_clickhouse_example.md
@@ -27,7 +27,7 @@ docker run -d --name kafka -p 9092:9092 -e KAFKA_BROKER_ID=0
-e KAFKA_ZOOKEEPER_
## 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.
-```
+```properties
User: admin
Password: inlong
```
diff --git a/docs/quick_start/offline_data_sync/airflow_example.md
b/docs/quick_start/offline_data_sync/airflow_example.md
index 7be4d8aba79..497d0cef538 100644
--- a/docs/quick_start/offline_data_sync/airflow_example.md
+++ b/docs/quick_start/offline_data_sync/airflow_example.md
@@ -19,7 +19,7 @@ Download the
[connectors](https://inlong.apache.org/downloads/) corresponding to
## Create Clusters And Data Target
When all containers are successfully started, you can access the InLong
dashboard address `http://localhost`, and use the following default account to
log in.
-```
+```properties
User: admin
Password: inlong
```
@@ -37,7 +37,7 @@ Password: inlong
Execute the following SQL statement:
-```mysql
+```sql
CREATE TABLE sink_table (
id INT AUTO_INCREMENT PRIMARY KEY,
name VARCHAR(255) NOT NULL,
diff --git a/docs/quick_start/offline_data_sync/dolphinscheduler_example.md
b/docs/quick_start/offline_data_sync/dolphinscheduler_example.md
index 40a04438936..9e75be0b640 100644
--- a/docs/quick_start/offline_data_sync/dolphinscheduler_example.md
+++ b/docs/quick_start/offline_data_sync/dolphinscheduler_example.md
@@ -22,7 +22,7 @@ Download the
[connectors](https://inlong.apache.org/downloads/) corresponding to
## Create Clusters And Data Target
When all containers are successfully started, you can access the InLong
dashboard address `http://localhost`, and use the following default account to
log in.
-```
+```properties
User: admin
Password: inlong
```
@@ -40,7 +40,7 @@ Password: inlong
Execute the following SQL statement:
-```mysql
+```sql
CREATE TABLE sink_table (
id INT AUTO_INCREMENT PRIMARY KEY,
name VARCHAR(255) NOT NULL,
@@ -112,17 +112,17 @@ View the DolphinScheduler task instance logs. The
following logs indicate that t
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);
- }
+// 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
diff --git a/docs/quick_start/offline_data_sync/quartz_example.md
b/docs/quick_start/offline_data_sync/quartz_example.md
index 0a392178270..c80c8f31c6b 100644
--- a/docs/quick_start/offline_data_sync/quartz_example.md
+++ b/docs/quick_start/offline_data_sync/quartz_example.md
@@ -19,7 +19,7 @@ Download the
[connectors](https://inlong.apache.org/downloads/) corresponding to
## 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.
-```
+```properties
User: admin
Password: inlong
```
@@ -29,13 +29,17 @@ Click [Clusters] -> [ClusterTags] -> [Create] on the page
to specify the cluster
-**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.**
+:::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.**
+:::info
+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
@@ -115,17 +119,17 @@ Return to the [Synchronization] page and wait for the
task configuration to succ
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);
- }
+// 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
diff --git a/docs/quick_start/realtime_data_sync/mysql_clickhouse_example.md
b/docs/quick_start/realtime_data_sync/mysql_clickhouse_example.md
index 903cabfe62e..90186fd0913 100644
--- a/docs/quick_start/realtime_data_sync/mysql_clickhouse_example.md
+++ b/docs/quick_start/realtime_data_sync/mysql_clickhouse_example.md
@@ -23,7 +23,7 @@ docker run -d --rm --net=host --name clickhouse -e
CLICKHOUSE_USER=admin -e CLIC
## 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.
-```
+```properties
User: admin
Password: inlong
```
diff --git a/docs/quick_start/realtime_data_sync/mysql_iceberg_example.md
b/docs/quick_start/realtime_data_sync/mysql_iceberg_example.md
index 5544428c98a..00780660345 100644
--- a/docs/quick_start/realtime_data_sync/mysql_iceberg_example.md
+++ b/docs/quick_start/realtime_data_sync/mysql_iceberg_example.md
@@ -20,7 +20,7 @@ Please refer to the [Installation
Tutorial](https://iceberg.apache.org/hive-quic
## 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.
-```
+```properties
User: admin
Password: inlong
```
@@ -67,7 +67,7 @@ Back to [Synchronization] page, wait for [success].
## Test Data
### Send Data
-```
+```bash
#!/bin/bash
# MySQL info
diff --git a/docs/quick_start/realtime_data_sync/mysql_starrocks_example.md
b/docs/quick_start/realtime_data_sync/mysql_starrocks_example.md
index 83d968fce63..59fdf234ae8 100644
--- a/docs/quick_start/realtime_data_sync/mysql_starrocks_example.md
+++ b/docs/quick_start/realtime_data_sync/mysql_starrocks_example.md
@@ -21,7 +21,7 @@ Please refer to the [Installation
Tutorial](https://docs.starrocks.io/docs/quick
## 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.
-```
+```properties
User: admin
Password: inlong
```
@@ -64,7 +64,7 @@ Back to [Synchronization] page, wait for [success].
## Test Data
### Send Data
-```
+```bash
#!/bin/bash
# MySQL info
diff --git a/docs/quick_start/realtime_data_sync/pulsar_clickhouse_example.md
b/docs/quick_start/realtime_data_sync/pulsar_clickhouse_example.md
index a879040cfcc..a91c57912eb 100644
--- a/docs/quick_start/realtime_data_sync/pulsar_clickhouse_example.md
+++ b/docs/quick_start/realtime_data_sync/pulsar_clickhouse_example.md
@@ -23,7 +23,7 @@ docker run -d --rm --net=host --name clickhouse -e
CLICKHOUSE_USER=admin -e CLIC
## 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.
-```
+```properties
User: admin
Password: inlong
```
diff --git
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/quick_start/data_ingestion/file_pulsar_clickhouse_example.md
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/quick_start/data_ingestion/file_pulsar_clickhouse_example.md
index 936b1165093..472f38199cd 100644
---
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/quick_start/data_ingestion/file_pulsar_clickhouse_example.md
+++
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/quick_start/data_ingestion/file_pulsar_clickhouse_example.md
@@ -18,7 +18,7 @@ docker run -d --rm --net=host --name clickhouse -e
CLICKHOUSE_USER=admin -e CLIC
## 集群初始化
容器启动成功后，访问 InLong Dashboard 地址 http://localhost，并使用以下默认账号登录：
-```
+```properties
User: admin
Password: inlong
```
@@ -73,12 +73,12 @@ Service URL 为 `pulsar://pulsar:6650`，Admin URL 为
`http://pulsar:8080`。
## 测试数据
### 进入 Agent 容器
-```
+```shell
docker exec -it agent /bin/bash
```
### 发送数据
-```
+```shell
# 采集文件 /data/collect-data/test.log 数据源配置路径，总共发送 10000 条
for i in {1..10000};do echo "name_$i | $i" >> /data/collect-data/test.log;done
```
diff --git
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/quick_start/data_ingestion/mysql_kafka_clickhouse_example.md
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/quick_start/data_ingestion/mysql_kafka_clickhouse_example.md
index adee256d0db..52ddc640f62 100644
---
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/quick_start/data_ingestion/mysql_kafka_clickhouse_example.md
+++
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/quick_start/data_ingestion/mysql_kafka_clickhouse_example.md
@@ -26,7 +26,7 @@ docker run -d --name kafka -p 9092:9092 -e KAFKA_BROKER_ID=0
-e KAFKA_ZOOKEEPER_
## 集群初始化
容器启动成功后，访问 InLong Dashboard 地址 http://localhost，并使用以下默认账号登录：
-```
+```properties
User: admin
Password: inlong
```
diff --git
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/quick_start/offline_data_sync/airflow_example.md
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/quick_start/offline_data_sync/airflow_example.md
index 5ecd4646343..a808337247a 100644
---
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/quick_start/offline_data_sync/airflow_example.md
+++
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/quick_start/offline_data_sync/airflow_example.md
@@ -19,7 +19,7 @@ sidebar_position: 3
## 创建集群和数据目标
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：
-```
+```properties
User: admin
Password: inlong
```
@@ -36,7 +36,7 @@ Password: inlong
执行如下 Sql 语句：
-```mysql
+```sql
CREATE TABLE sink_table (
id INT AUTO_INCREMENT PRIMARY KEY,
name VARCHAR(255) NOT NULL,
diff --git
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/quick_start/offline_data_sync/dolphinscheduler_example.md
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/quick_start/offline_data_sync/dolphinscheduler_example.md
index 2375d8dcf75..c115464ce45 100644
---
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/quick_start/offline_data_sync/dolphinscheduler_example.md
+++
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/quick_start/offline_data_sync/dolphinscheduler_example.md
@@ -21,7 +21,7 @@ sidebar_position: 2
## 创建集群和数据目标
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：
-```
+```properties
User: admin
Password: inlong
```
@@ -38,7 +38,7 @@ Password: inlong
执行如下 Sql 语句：
-```mysql
+```sql
CREATE TABLE sink_table (
id INT AUTO_INCREMENT PRIMARY KEY,
name VARCHAR(255) NOT NULL,
@@ -111,17 +111,17 @@ CREATE TABLE sink_table (
通过 Pulsar SDK 生产数据写入的 Pulsar topic 中，示例如下：
```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);
- }
+// 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
diff --git
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/quick_start/offline_data_sync/quartz_example.md
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/quick_start/offline_data_sync/quartz_example.md
index 3fcc926a6a8..5c1e565bd04 100644
---
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/quick_start/offline_data_sync/quartz_example.md
+++
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/quick_start/offline_data_sync/quartz_example.md
@@ -19,7 +19,7 @@ sidebar_position: 1
## 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:
-```
+```properties
User: admin
Password: inlong
```
@@ -113,17 +113,17 @@ CREATE TABLE sink_table (
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);
- }
+// 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
diff --git
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/quick_start/realtime_data_sync/mysql_clickhouse_example.md
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/quick_start/realtime_data_sync/mysql_clickhouse_example.md
index 08e0c3b5a28..3fc93a3990f 100644
---
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/quick_start/realtime_data_sync/mysql_clickhouse_example.md
+++
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/quick_start/realtime_data_sync/mysql_clickhouse_example.md
@@ -23,7 +23,7 @@ docker run -d --rm --net=host --name clickhouse -e
CLICKHOUSE_USER=admin -e CLIC
## 集群初始化
当所有容器都成功启动后，可以访问 InLong Dashboard 地址 http://localhost，并使用以下默认账号登录:
-```
+```properties
User: admin
Password: inlong
```
diff --git
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/quick_start/realtime_data_sync/mysql_iceberg_example.md
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/quick_start/realtime_data_sync/mysql_iceberg_example.md
index 1c80e65338c..bb4baa44564 100644
---
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/quick_start/realtime_data_sync/mysql_iceberg_example.md
+++
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/quick_start/realtime_data_sync/mysql_iceberg_example.md
@@ -20,7 +20,7 @@ sidebar_position: 3
## 集群初始化
容器启动成功后，访问 InLong Dashboard 地址 http://localhost，并使用以下默认账号登录：
-```
+```properties
User: admin
Password: inlong
```
@@ -67,7 +67,7 @@ Password: inlong
## 测试数据
### 发送数据
-```
+```bash
#!/bin/bash
# MySQL info
diff --git
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/quick_start/realtime_data_sync/mysql_starrocks_example.md
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/quick_start/realtime_data_sync/mysql_starrocks_example.md
index 665c7923578..c998d786004 100644
---
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/quick_start/realtime_data_sync/mysql_starrocks_example.md
+++
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/quick_start/realtime_data_sync/mysql_starrocks_example.md
@@ -21,7 +21,7 @@ sidebar_position: 2
## 集群初始化
容器启动成功后，访问 InLong Dashboard 地址 http://localhost，并使用以下默认账号登录：
-```
+```properties
User: admin
Password: inlong
```
@@ -61,7 +61,7 @@ Password: inlong
## 测试数据
### 发送数据
-```
+```shell
#!/bin/bash
# MySQL info
diff --git
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/quick_start/realtime_data_sync/pulsar_clickhouse_example.md
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/quick_start/realtime_data_sync/pulsar_clickhouse_example.md
index 9bb36ab1815..3dc5d778007 100644
---
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/quick_start/realtime_data_sync/pulsar_clickhouse_example.md
+++
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/quick_start/realtime_data_sync/pulsar_clickhouse_example.md
@@ -23,7 +23,7 @@ docker run -d --rm --net=host --name clickhouse -e
CLICKHOUSE_USER=admin -e CLIC
## 集群初始化
当所有容器都成功启动后，可以访问 InLong Dashboard 地址 http://localhost，并使用以下默认账号登录:
-```
+```properties
User: admin
Password: inlong
```
