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new 9032be070 [INLONG-422][Doc] Update the deploy and connectors files for
sort (#423)
9032be070 is described below
commit 9032be07083981362c15808decd085b19f8a7463
Author: Charles Zhang <[email protected]>
AuthorDate: Sat Jun 18 18:01:04 2022 +0800
[INLONG-422][Doc] Update the deploy and connectors files for sort (#423)
---
docs/data_node/extract_node/hdfs.md | 9 ---
docs/data_node/extract_node/kafka.md | 2 +-
docs/data_node/extract_node/mongodb-cdc.md | 4 +-
docs/data_node/extract_node/mysql-cdc.md | 4 +-
docs/data_node/extract_node/oracle-cdc.md | 2 +-
docs/data_node/extract_node/overview.md | 1 -
docs/data_node/extract_node/postgresql-cdc.md | 4 +-
docs/data_node/extract_node/pulsar.md | 2 +-
docs/data_node/extract_node/sqlserver-cdc.md | 5 +-
docs/data_node/load_node/clickhouse.md | 4 +-
docs/data_node/load_node/elasticsearch.md | 4 +-
docs/data_node/load_node/greenplum.md | 4 +-
docs/data_node/load_node/hbase.md | 4 +-
docs/data_node/load_node/hdfs.md | 5 +-
docs/data_node/load_node/hive.md | 5 +-
docs/data_node/load_node/iceberg.md | 3 +-
docs/data_node/load_node/kafka.md | 4 +-
docs/data_node/load_node/mysql.md | 4 +-
docs/data_node/load_node/oracle.md | 4 +-
docs/data_node/load_node/postgresql.md | 4 +-
docs/data_node/load_node/sqlserver.md | 4 +-
docs/data_node/load_node/tdsql-postgresql.md | 4 +-
.../sort/{datastream_example.md => example.md} | 39 ++++--------
docs/modules/sort/overview.md | 70 +++++++++-------------
docs/modules/sort/quick_start.md | 31 +++-------
.../current/data_node/extract_node/auto_push.md | 2 +-
.../current/data_node/extract_node/hdfs.md | 10 ----
.../current/data_node/extract_node/kafka.md | 2 +-
.../current/data_node/extract_node/mongodb-cdc.md | 4 +-
.../current/data_node/extract_node/mysql-cdc.md | 4 +-
.../current/data_node/extract_node/oracle-cdc.md | 2 +-
.../current/data_node/extract_node/overview.md | 1 -
.../data_node/extract_node/postgresql-cdc.md | 4 +-
.../current/data_node/extract_node/pulsar.md | 2 +-
.../data_node/extract_node/sqlserver-cdc.md | 4 +-
.../data_node/load_node/auto_consumption.md | 14 ++---
.../current/data_node/load_node/clickhouse.md | 4 +-
.../current/data_node/load_node/elasticsearch.md | 4 +-
.../current/data_node/load_node/greenplum.md | 4 +-
.../current/data_node/load_node/hbase.md | 4 +-
.../current/data_node/load_node/hdfs.md | 5 +-
.../current/data_node/load_node/hive.md | 4 +-
.../current/data_node/load_node/iceberg.md | 4 +-
.../current/data_node/load_node/kafka.md | 4 +-
.../current/data_node/load_node/mysql.md | 4 +-
.../current/data_node/load_node/oracle.md | 4 +-
.../current/data_node/load_node/overview.md | 2 +-
.../current/data_node/load_node/postgresql.md | 2 +-
.../current/data_node/load_node/sqlserver.md | 2 +-
.../data_node/load_node/tdsql-postgresql.md | 2 +-
.../sort/{datastream_example.md => example.md} | 37 ++++--------
.../current/modules/sort/overview.md | 69 +++++++++------------
.../current/modules/sort/quick_start.md | 32 +++-------
53 files changed, 179 insertions(+), 283 deletions(-)
diff --git a/docs/data_node/extract_node/hdfs.md
b/docs/data_node/extract_node/hdfs.md
deleted file mode 100644
index 9762d7893..000000000
--- a/docs/data_node/extract_node/hdfs.md
+++ /dev/null
@@ -1,9 +0,0 @@
----
-title: HDFS
-sidebar_position: 6
----
-The HDFS connector can be used to read single files or entire directories into
a single table.
-
-When using a directory as the source path, there is no defined order of
ingestion for the files inside the directory.
-
-Notice:HDFS CDC feature is developing.
diff --git a/docs/data_node/extract_node/kafka.md
b/docs/data_node/extract_node/kafka.md
index 389dce957..14d9456b7 100644
--- a/docs/data_node/extract_node/kafka.md
+++ b/docs/data_node/extract_node/kafka.md
@@ -3,7 +3,7 @@ title: Kafka
sidebar_position: 4
---
-## Kafka Extract Node
+## Overview
The `Kafka Extract Node` supports to read data from Kafka topics. It can
support read data in the normal fashion and read data in the
upsert fashion. The `upsert-kafka` connector produces a `changelog stream`,
where each data record represents an `update` or
diff --git a/docs/data_node/extract_node/mongodb-cdc.md
b/docs/data_node/extract_node/mongodb-cdc.md
index 6a1caa639..8118de8f4 100644
--- a/docs/data_node/extract_node/mongodb-cdc.md
+++ b/docs/data_node/extract_node/mongodb-cdc.md
@@ -1,9 +1,9 @@
---
title: MongoDB-CDC
-sidebar_position: 7
+sidebar_position: 5
---
-## MongoDB-CDC Extract Node
+## Overview
The MongoDB CDC connector allows for reading snapshot data and incremental
data from MongoDB. This document describes how to setup the MongoDB CDC
connector to run SQL queries against MongoDB.
diff --git a/docs/data_node/extract_node/mysql-cdc.md
b/docs/data_node/extract_node/mysql-cdc.md
index 923f83ae7..5a5b5c3f0 100644
--- a/docs/data_node/extract_node/mysql-cdc.md
+++ b/docs/data_node/extract_node/mysql-cdc.md
@@ -1,9 +1,9 @@
---
title: MySQL-CDC
-sidebar_position: 5
+sidebar_position: 6
---
-## MySQL Extract Node
+## Overview
The MySQL Extract Node allows for reading snapshot data and incremental data
from MySQL database. This document describes how to set up the MySQL Extract
Node to run SQL queries against MySQL databases.
diff --git a/docs/data_node/extract_node/oracle-cdc.md
b/docs/data_node/extract_node/oracle-cdc.md
index 1e5b4c921..eb1323986 100644
--- a/docs/data_node/extract_node/oracle-cdc.md
+++ b/docs/data_node/extract_node/oracle-cdc.md
@@ -1,6 +1,6 @@
---
title: Oracle-CDC
-sidebar_position: 8
+sidebar_position: 7
---
## Overview
diff --git a/docs/data_node/extract_node/overview.md
b/docs/data_node/extract_node/overview.md
index 56129a3b2..789348a5e 100644
--- a/docs/data_node/extract_node/overview.md
+++ b/docs/data_node/extract_node/overview.md
@@ -12,7 +12,6 @@ Extract Nodes is a set of Source Connectors based on <a
href="https://flink.apac
|-------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------------------------|
| [Kafka](kafka.md) | [Kafka](https://kafka.apache.org/):
0.10+
| None |
| [Pulsar](pulsar.md) | [Pulsar](https://pulsar.apache.org/):
2.8.x+
| None |
-| [HDFS](hdfs.md) | [HDFS](https://hadoop.apache.org/):
2.x, 3.x
| None |
| [MongoDB-CDC](mongodb-cdc.md) | [MongoDB](https://www.mongodb.com):
3.6, 4.x, 5.0
| None |
| [MySQL-CDC](mysql-cdc.md) | [MySQL](https://dev.mysql.com/doc):
5.6, 5.7, 8.0.x <br/>[RDS MySQL](https://www.aliyun.com/product/rds/mysql):
5.6, 5.7, 8.0.x <br/> [PolarDB MySQL](https://www.aliyun.com/product/polardb):
5.6, 5.7, 8.0.x <br/> [Aurora MySQL](https://aws.amazon.com/cn/rds/aurora):
5.6, 5.7, 8.0.x <br/> [MariaDB](https://mariadb.org): 10.x <br/> [PolarDB
X](https://github.com/ApsaraDB/galaxysql): 2.0.1 | JDBC Driver: 8.0.21 |
| [Oracle-CDC](oracle-cdc.md) |
[Oracle](https://www.oracle.com/index.html): 11, 12, 19
| Oracle
Driver: 19.3.0.0 |
diff --git a/docs/data_node/extract_node/postgresql-cdc.md
b/docs/data_node/extract_node/postgresql-cdc.md
index e231986b4..1348d2a54 100644
--- a/docs/data_node/extract_node/postgresql-cdc.md
+++ b/docs/data_node/extract_node/postgresql-cdc.md
@@ -1,9 +1,9 @@
---
title: PostgreSQL-CDC
-sidebar_position: 9
+sidebar_position: 8
---
-## PostgreSQL Extract Node
+## Overview
The `PostgreSQL Extract Node` allows for reading snapshot data and incremental
data from PostgreSQL database. This document describes how to set up the
`PostgreSQL Extract Node` to run SQL queries against PostgreSQL databases.
diff --git a/docs/data_node/extract_node/pulsar.md
b/docs/data_node/extract_node/pulsar.md
index cd6f482ac..17c6ae764 100644
--- a/docs/data_node/extract_node/pulsar.md
+++ b/docs/data_node/extract_node/pulsar.md
@@ -1,6 +1,6 @@
---
title: Pulsar
-sidebar_position: 10
+sidebar_position: 9
---
## Overview
diff --git a/docs/data_node/extract_node/sqlserver-cdc.md
b/docs/data_node/extract_node/sqlserver-cdc.md
index c4ad66faa..300f485aa 100644
--- a/docs/data_node/extract_node/sqlserver-cdc.md
+++ b/docs/data_node/extract_node/sqlserver-cdc.md
@@ -1,8 +1,9 @@
---
title: SQLServer-CDC
-sidebar_position: 11
+sidebar_position: 10
---
-## SQLServer Extract Node
+
+## Overview
The SQLServer Extract Node reads data and incremental data from the SQLServer
database. The following will describe how to set up the SQLServer extraction
node.
diff --git a/docs/data_node/load_node/clickhouse.md
b/docs/data_node/load_node/clickhouse.md
index ac818b5d1..0b6470f95 100644
--- a/docs/data_node/load_node/clickhouse.md
+++ b/docs/data_node/load_node/clickhouse.md
@@ -1,9 +1,9 @@
---
title: ClickHouse
-sidebar_position: 6
+sidebar_position: 3
---
-## ClickHouse Load Node
+## Overview
The `ClickHouse Load Node` supports to write data into ClickHouse database.
This document describes how to set up the ClickHouse Load
Node to run SQL queries against ClickHouse database.
diff --git a/docs/data_node/load_node/elasticsearch.md
b/docs/data_node/load_node/elasticsearch.md
index 6aa54c548..76d705b3a 100644
--- a/docs/data_node/load_node/elasticsearch.md
+++ b/docs/data_node/load_node/elasticsearch.md
@@ -1,9 +1,9 @@
---
title: Elasticsearch
-sidebar_position: 8
+sidebar_position: 4
---
-## Elasticsearch Load Node
+## Overview
The Elasticsearch Load Node allows for writing into an index of the
Elasticsearch engine. This document describes how to setup the Elasticsearch
Load Node to run SQL queries against Elasticsearch.
diff --git a/docs/data_node/load_node/greenplum.md
b/docs/data_node/load_node/greenplum.md
index 643306fd5..4c009f0a8 100644
--- a/docs/data_node/load_node/greenplum.md
+++ b/docs/data_node/load_node/greenplum.md
@@ -1,9 +1,9 @@
---
title: Greenplum
-sidebar_position: 9
+sidebar_position: 5
---
-## Greenplum Load Node
+## Overview
The `Greenplum Load Node` supports to write data into Greenplum database. This
document describes how to set up the Greenplum Load
Node to run SQL queries against Greenplum database.
diff --git a/docs/data_node/load_node/hbase.md
b/docs/data_node/load_node/hbase.md
index fbde8fe13..905563a3b 100644
--- a/docs/data_node/load_node/hbase.md
+++ b/docs/data_node/load_node/hbase.md
@@ -1,9 +1,9 @@
---
title: HBase
-sidebar_position: 10
+sidebar_position: 6
---
-## HBase Load Node
+## Overview
The `HBase Load Node` supports to write data into HBase database.
diff --git a/docs/data_node/load_node/hdfs.md b/docs/data_node/load_node/hdfs.md
index 1ae608da9..72ce1f4d7 100644
--- a/docs/data_node/load_node/hdfs.md
+++ b/docs/data_node/load_node/hdfs.md
@@ -1,8 +1,9 @@
---
title: HDFS
-sidebar_position: 11
+sidebar_position: 7
---
-## HDFS Load Node
+
+## Overview
HDFS uses the general capabilities of flink's fileSystem to support single
files and partitioned files.
The file system connector itself is included in Flink and does not require an
additional dependency.
diff --git a/docs/data_node/load_node/hive.md b/docs/data_node/load_node/hive.md
index 23a7db068..aa64b34ee 100644
--- a/docs/data_node/load_node/hive.md
+++ b/docs/data_node/load_node/hive.md
@@ -1,8 +1,9 @@
---
title: Hive
-sidebar_position: 3
+sidebar_position: 8
---
-## Hive Load Node
+
+## Overview
Hive Load Node can write data to hive. Using the flink dialect, the insert
operation is currently supported, and the data in the upsert mode will be
converted into insert.
Manipulating hive tables using the hive dialect is currently not supported.
diff --git a/docs/data_node/load_node/iceberg.md
b/docs/data_node/load_node/iceberg.md
index db4c9c075..2694d7f90 100644
--- a/docs/data_node/load_node/iceberg.md
+++ b/docs/data_node/load_node/iceberg.md
@@ -1,7 +1,8 @@
---
title: Iceberg
-sidebar_position: 4
+sidebar_position: 9
---
+
## Overview
[Apache Iceberg](https://iceberg.apache.org/) is a high-performance format for
huge analytic tables.
diff --git a/docs/data_node/load_node/kafka.md
b/docs/data_node/load_node/kafka.md
index 3add072a9..96003ba96 100644
--- a/docs/data_node/load_node/kafka.md
+++ b/docs/data_node/load_node/kafka.md
@@ -1,9 +1,9 @@
---
title: Kafka
-sidebar_position: 5
+sidebar_position: 10
---
-## Kafka Load Node
+## Overview
The `Kafka Load Node` supports to write data into Kafka topics. It can support
to write data in the normal fashion and write data in the
upsert fashion. The `upsert-kafka` connector can consume a changelog stream.
It will write INSERT/UPDATE_AFTER data as
diff --git a/docs/data_node/load_node/mysql.md
b/docs/data_node/load_node/mysql.md
index 8a7bf3962..42ee03594 100644
--- a/docs/data_node/load_node/mysql.md
+++ b/docs/data_node/load_node/mysql.md
@@ -1,9 +1,9 @@
---
title: MySQL
-sidebar_position: 12
+sidebar_position: 11
---
-## MySQL Load Node
+## Overview
The `MySQL Load Node` supports to write data into MySQL database. This
document describes how to set up the MySQL Load
Node to run SQL queries against MySQL database.
diff --git a/docs/data_node/load_node/oracle.md
b/docs/data_node/load_node/oracle.md
index 86cc536d2..735dbf0df 100644
--- a/docs/data_node/load_node/oracle.md
+++ b/docs/data_node/load_node/oracle.md
@@ -1,9 +1,9 @@
---
title: Oracle
-sidebar_position: 13
+sidebar_position: 12
---
-## Oracle Load Node
+## Overview
The `Oracle Load Node` supports to write data into Oracle database. This
document describes how to set up the Oracle Load
Node to run SQL queries against Oracle database.
diff --git a/docs/data_node/load_node/postgresql.md
b/docs/data_node/load_node/postgresql.md
index eb1a712c0..3835b0a11 100644
--- a/docs/data_node/load_node/postgresql.md
+++ b/docs/data_node/load_node/postgresql.md
@@ -1,9 +1,9 @@
---
title: PostgreSQL
-sidebar_position: 14
+sidebar_position: 13
---
-## PostgreSQL Load Node
+## Overview
The `PostgreSQL Load Node` supports to write data into PostgreSQL database.
This document describes how to set up the PostgreSQL Load
Node to run SQL queries against PostgreSQL database.
diff --git a/docs/data_node/load_node/sqlserver.md
b/docs/data_node/load_node/sqlserver.md
index 99ef360f4..b9a07fb68 100644
--- a/docs/data_node/load_node/sqlserver.md
+++ b/docs/data_node/load_node/sqlserver.md
@@ -1,9 +1,9 @@
---
title: SQLServer
-sidebar_position: 15
+sidebar_position: 14
---
-## SQLServer Load Node
+## Overview
The `SQLServer Load Node` supports to write data into SQLServer database. This
document describes how to set up the SQLServer Load
Node to run SQL queries against SQLServer database.
diff --git a/docs/data_node/load_node/tdsql-postgresql.md
b/docs/data_node/load_node/tdsql-postgresql.md
index 30a0ce7f8..2a36aeadd 100644
--- a/docs/data_node/load_node/tdsql-postgresql.md
+++ b/docs/data_node/load_node/tdsql-postgresql.md
@@ -1,9 +1,9 @@
---
title: TDSQL-PostgreSQL
-sidebar_position: 16
+sidebar_position: 15
---
-## TDSQL-PostgreSQL Load Node
+## Overview
The `TDSQL-PostgreSQL Load Node` supports to write data into TDSQL-PostgreSQL
database. This document describes how to set up the TDSQL-PostgreSQL Load
Node to run SQL queries against TDSQL-PostgreSQL database.
diff --git a/docs/modules/sort/datastream_example.md
b/docs/modules/sort/example.md
similarity index 62%
rename from docs/modules/sort/datastream_example.md
rename to docs/modules/sort/example.md
index 1ee497ac5..8b8fa75ce 100644
--- a/docs/modules/sort/datastream_example.md
+++ b/docs/modules/sort/example.md
@@ -3,42 +3,25 @@ title: DataStream Example
sidebar_position: 3
---
-## Examples
+## Overview
To make it easier for you to create InLong-Sort jobs, here we list some data
stream configuration examples.
The following will introduce SQL, Dashboard, Manager Client Tools methods to
use Inlong Sort.
-## Precondition
+## Environment Requirements
+- JDK 1.8.x
+- Flink 1.13.5
+- MySQL
+- Kafka
+- Hadoop
+- Hive 3.x
-Please confirm whether there is the following environment:
-* JDK 1.8.x
-* Flink 1.13.5
-* MySQL
-* Kafka
-* Hadoop
-* Hive 3.x
-
-If there is no available environment, please refer to the following steps:
-
-Step1. If no Flink cluster environment is available, you may build a Flink
Standalone single cluster for use. [Flink Standalone
Mode](https://nightlies.apache.org/flink/flink-docs-master/docs/deployment/resource-providers/standalone/overview/)
-
-Step2. If no MySQL environment is available or binlog is not enabled, you need
to install MySQL and turn on binlog. [MySQL Installation
Guide](https://dev.mysql.com/doc/mysql-installation-excerpt/5.7/en/) and [MySQL
binlog](https://dev.mysql.com/doc/refman/5.7/en/replication-howto-masterbaseconfig.html)
-(You can also directly refer to Inlong MySQL Extract Node doc about MySQL turn
on binlog information.)
-
-Step3. If no Kafka and Hadoop environment is available, you need to install
Kafka and Hadoop. [Kafka Installation
Guide](https://kafka.apache.org/quickstart) and [Hadoop Installation
Guide](https://hadoop.apache.org/docs/stable/hadoop-project-dist/hadoop-common/SingleCluster.html)
-
-Step4. If no Hive environment is available, you need to install Hive and turn
on metastore service. [Hive Installation
Guide](https://cwiki.apache.org/confluence/display/Hive//GettingStarted)
-
-Step5. Download Inlong installation package
[inlong-distribution-(version)-incubating-bin.tar.gz](https://inlong.apache.org/download/main)
-and choose MySQL,Kafka,Hive connector dependencies in the
[inlong-distribution-(version)-incubating-sort-connectors.tar.gz](https://inlong.apache.org/download/main)
-
-Step6. Put sort-dist-[version].jar and MySQL,Kafka,Hive connector jars into
FLINK_HOME/lib .
-
-Note: sort-dist-[version].jar in the inlong-sort package.
[inlong-distribution-(version)-incubating-bin.tar.gz](https://inlong.apache.org/download/main)
+## Prepare InLong Sort And Connectors
+You can prepare InLong Sort and Data Node Connectors by referring to
[Deployment Guide](quick_start.md).
## Usage for SQL API
-This example defines the data flow for a single table. (mysql-->kafka-->hive)
+This example defines the data flow for a single table(mysql-->kafka-->hive).
### MySQL to Kafka
diff --git a/docs/modules/sort/overview.md b/docs/modules/sort/overview.md
index ba6f5999e..5c789f194 100644
--- a/docs/modules/sort/overview.md
+++ b/docs/modules/sort/overview.md
@@ -3,44 +3,32 @@ title: Overview
sidebar_position: 1
---
-# Overview
-InLong-Sort is used to extract data from different source systems, then
transforms the data and finally loads the data into diffrent storage systems.
-InLong-Sort is simply a Flink Application, and relys on InLong-Manager to
manage meta data(such as the source informations and storage informations).
-
-# Features
-
-## Supported Extract Node
-- Pulsar
-- MySQL
-- Kafka
-- MongoDB
-- PostgreSQL
-- HDFS
-
-## Supported Transform
-- String Split
-- String Regular Replace
-- String Regular Replace First Matched Value
-- Data Filter
-- Data Distinct
-- Regular Join
-
-## Supported Load Node
-- Hive
-- Kafka
-- HBase
-- ClickHouse
-- Iceberg
-- PostgreSQL
-- HDFS
-- TDSQL Postgres
-
-## Future Plans
-### More kinds of Extract Node
-Oracle, SqlServer, and etc.
-
-### More kinds of Transform
-Time window aggregation, Content extraction, Type conversion, Time format
conversion, and etc.
-
-### More kinds of Load Node
-Elasticsearch, and etc.
+## Overview
+InLong Sort is used to extract data from different source systems, then
transforms the data and finally loads the data into different storage systems.
+
+InLong Sort can be used together with the Manager to manage metadata, or it
can run independently in the Flink environment.
+
+## Features
+### Suport a variety of data nodes
+
+| Type | Service |
+|--------------|--------------------------------------------|
+| Extract Node | Pulsar |
+| | MySQL |
+| | Kafka |
+| | MongoDB |
+| | PostgreSQL |
+| Transform | String Split |
+| | String Regular Replace |
+| | String Regular Replace First Matched Value |
+| | Data Filter |
+| | Data Distinct |
+| | Regular Join |
+| Load Node | Hive |
+| | Kafka |
+| | HBase |
+| | ClickHouse |
+| | Iceberg |
+| | PostgreSQL |
+| | HDFS |
+| | TDSQL Postgres |
\ No newline at end of file
diff --git a/docs/modules/sort/quick_start.md b/docs/modules/sort/quick_start.md
index d1a503bdb..10811d472 100644
--- a/docs/modules/sort/quick_start.md
+++ b/docs/modules/sort/quick_start.md
@@ -4,35 +4,22 @@ sidebar_position: 2
---
## Set up Flink Environment
-Currently, InLong-Sort is based on Flink, before you run an InLong-Sort
Application,
-you need to set up [Flink
Environment](https://nightlies.apache.org/flink/flink-docs-release-1.13/docs/deployment/overview/).
+Currently, InLong Sort is based on Flink, before you run an InLong Sort
Application,
-Currently, InLong-Sort relies on Flink-1.13.5. Chose
`flink-1.13.5-bin-scala_2.11.tgz` when downloading package.
+you need to set up [Flink
Environment](https://nightlies.apache.org/flink/flink-docs-release-1.13/docs/deployment/overview/).
-Once your Flink Environment is set up, you can visit Web UI of Flink, whose
address is stored in `/${your_flink_path}/conf/masters`.
+Currently, InLong Sort relies on Flink-1.13.5. Chose
`flink-1.13.5-bin-scala_2.11.tgz` when downloading package.
## Prepare installation files
-We need `sort-dist-[version].jar` and
`sort-connector-[database]-[version].jar`.
-
-`sort-dist-[version].jar` include main class
`org.apache.inlong.sort.Entrance`.
-
-`sort-connector-[database]-[version].jar` are connector jar.
-
-Please choose required connector jar by your data integration requirement.
-
-[Download](https://inlong.apache.org/download/main) `sort-dist-[version].jar`
from `inlong-sort` of `apache-inlong-[version]-bin.tar.gz`.
-
-[Download](https://inlong.apache.org/download/main)
`sort-connector-[database]-[version].jar` from
`apache-inlong-[version]-sort-connectors.tar.gz`.
-
-Please put required jars into under `FLINK_HOME/lib/` after download.
+- InLong Sort file, [Download](https://inlong.apache.org/zh-CN/download/main/)
`apache-inlong-[version]-bin.tar.gz`
+- Data Nodes Connectors,
[Download](https://inlong.apache.org/zh-CN/download/main/)
`apache-inlong-{version}-sort-connectors.tar.gz`
-## Starting an inlong-sort application
-Now you can submit job to Flink with the jar compiled, refer to [How to submit
job to
Flink](https://nightlies.apache.org/flink/flink-docs-release-1.13/docs/deployment/cli/#submitting-a-job).
+Notice: Please put required Connectors jars into under `FLINK_HOME/lib/` after
download.
-Example：
+## Start an inlong-sort application
```shell
-./bin/flink run -c org.apache.inlong.sort.Entrance
FLINK_HOME/lib/sort-dist-[version].jar \
---sql.script.file /YOUR_SQL_SCRIPT_DIR/mysql-to-postgresql.sql
+./bin/flink run -c org.apache.inlong.sort.Entrance
apache-inlong-[version]-bin/inlong-sort/sort-dist-[version].jar \
+--sql.script.file mysql-to-postgresql.sql
```
## Configuration
diff --git
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/extract_node/auto_push.md
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/extract_node/auto_push.md
index 9429f83f4..2aa0440dc 100644
---
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/extract_node/auto_push.md
+++
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/extract_node/auto_push.md
@@ -3,6 +3,6 @@ title: 自动推送
sidebar_position: 2
---
-## 总览
+## 概述
**自动推送**是指使用 DataProxy SDK 发送数据到 DataProxy 模块，不经过 Agent 进行采集。
DataProxy SDK 目前支持 TCP、HTTP、UDP 协议，使用方式可以参考 [DataProxy SDK
Example](https://inlong.apache.org/zh-CN/docs/next/sdk/dataproxy-sdk/example/) 。
\ No newline at end of file
diff --git
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/extract_node/hdfs.md
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/extract_node/hdfs.md
deleted file mode 100644
index 3ae130e27..000000000
---
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/extract_node/hdfs.md
+++ /dev/null
@@ -1,10 +0,0 @@
----
-title: HDFS
-sidebar_position: 6
----
-
-HDFS 连接器可用于将单个文件或整个目录读取到单个表中。
-
-当使用目录作为源路径时，目录中的文件没有定义摄取顺序。
-
-注意：HDFS CDC 功能正在开发中。
diff --git
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/extract_node/kafka.md
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/extract_node/kafka.md
index bf0363a52..bca179e95 100644
---
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/extract_node/kafka.md
+++
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/extract_node/kafka.md
@@ -2,7 +2,7 @@
title: Kafka
sidebar_position: 4
---
-## Kafka Extract 节点
+## 概述
`Kafka Extract` 节点 支持从 Kafka topics 中读取数据。它支持以普通的方式读取数据和 Upsert
的方式读取数据。`upsert-kafka` 连接器生产 `changelog` 流,
其中每条数据记录代表一个更新或删除事件。`kafka-inlong` 连接器可以以普通方式读取数据和元数据信息。
diff --git
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/extract_node/mongodb-cdc.md
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/extract_node/mongodb-cdc.md
index 42a3f5062..1db5b5ecf 100644
---
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/extract_node/mongodb-cdc.md
+++
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/extract_node/mongodb-cdc.md
@@ -1,9 +1,9 @@
---
title: MongoDB-CDC
-sidebar_position: 7
+sidebar_position: 5
---
-## MongoDB-CDC Extract 节点
+## 概述
MongoDB CDC 连接器允许从 MongoDB 读取快照数据和增量数据。本文档介绍如何设置 MongoDB CDC 连接器以对 MongoDB 运行
SQL 查询。
diff --git
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/extract_node/mysql-cdc.md
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/extract_node/mysql-cdc.md
index 545ac1661..19630772c 100644
---
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/extract_node/mysql-cdc.md
+++
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/extract_node/mysql-cdc.md
@@ -1,9 +1,9 @@
---
title: MySQL-CDC
-sidebar_position: 5
+sidebar_position: 6
---
-## MySQL Extract Node
+## 概述
MySQL Extract 节点允许从 MySQL 数据库中读取快照数据和增量数据。本文档介绍如何设置 MySQL Extract 节点以对 MySQL
数据库运行 SQL 查询。
diff --git
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/extract_node/oracle-cdc.md
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/extract_node/oracle-cdc.md
index 1f1a6bcb9..19ec782d8 100644
---
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/extract_node/oracle-cdc.md
+++
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/extract_node/oracle-cdc.md
@@ -1,6 +1,6 @@
---
title: Oracle-CDC
-sidebar_position: 8
+sidebar_position: 7
---
## 概述
diff --git
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/extract_node/overview.md
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/extract_node/overview.md
index 0bf0cfb7b..c113f1902 100644
---
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/extract_node/overview.md
+++
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/extract_node/overview.md
@@ -13,7 +13,6 @@ Extract 节点列表是一组基于 <a href="https://flink.apache.org/";>Apache F
|-------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------------------------|
| [Kafka](kafka.md) | [Kafka](https://kafka.apache.org/):
0.10+
| None |
| [Pulsar](pulsar.md) | [Pulsar](https://pulsar.apache.org/):
2.8.x+
| None |
-| [HDFS](hdfs.md) | [HDFS](https://hadoop.apache.org/):
2.x, 3.x
| None |
| [MongoDB-CDC](mongodb-cdc.md) | [MongoDB](https://www.mongodb.com):
3.6, 4.x, 5.0
| None |
| [MySQL-CDC](mysql-cdc.md) | [MySQL](https://dev.mysql.com/doc):
5.6, 5.7, 8.0.x <br/>[RDS MySQL](https://www.aliyun.com/product/rds/mysql):
5.6, 5.7, 8.0.x <br/> [PolarDB MySQL](https://www.aliyun.com/product/polardb):
5.6, 5.7, 8.0.x <br/> [Aurora MySQL](https://aws.amazon.com/cn/rds/aurora):
5.6, 5.7, 8.0.x <br/> [MariaDB](https://mariadb.org): 10.x <br/> [PolarDB
X](https://github.com/ApsaraDB/galaxysql): 2.0.1 | JDBC Driver: 8.0.21 |
| [Oracle-CDC](oracle-cdc.md) |
[Oracle](https://www.oracle.com/index.html): 11, 12, 19
| Oracle
Driver: 19.3.0.0 |
diff --git
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/extract_node/postgresql-cdc.md
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/extract_node/postgresql-cdc.md
index 6d2b956ea..a33e2cf93 100644
---
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/extract_node/postgresql-cdc.md
+++
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/extract_node/postgresql-cdc.md
@@ -1,9 +1,9 @@
---
title: PostgreSQL
-sidebar_position: 9
+sidebar_position: 8
---
-## PostgreSQL Extract 节点
+## 概述
`PostgreSQL Extract` 节点允许从 PostgreSQL 数据库中读取快照数据和增量数据。 本文档描述了如何设置 PostgreSQL
Extract 节点以对 PostgreSQL 数据库运行 SQL 查询。
diff --git
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/extract_node/pulsar.md
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/extract_node/pulsar.md
index 1dcd7d2db..52071b99f 100644
---
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/extract_node/pulsar.md
+++
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/extract_node/pulsar.md
@@ -1,6 +1,6 @@
---
title: Pulsar
-sidebar_position: 10
+sidebar_position: 9
---
## 概述
diff --git
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/extract_node/sqlserver-cdc.md
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/extract_node/sqlserver-cdc.md
index 6c68e9a41..890597689 100644
---
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/extract_node/sqlserver-cdc.md
+++
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/extract_node/sqlserver-cdc.md
@@ -1,8 +1,8 @@
---
title: SQLServer-CDC
-sidebar_position: 11
+sidebar_position: 10
---
-## SQLServer抽取节点
+## 概述
SQLServer 提取节点从 SQLServer 数据库中读取数据和增量数据。下面将介绍如何配置 SQLServer 抽取节点。
diff --git
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/load_node/auto_consumption.md
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/load_node/auto_consumption.md
index 2faefe388..f24a22899 100644
---
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/load_node/auto_consumption.md
+++
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/load_node/auto_consumption.md
@@ -1,8 +1,8 @@
----
-title: 自主消费
-sidebar_position: 1
----
-
-## Overview
-**自主消费** 是指直接从消息队列服务中 (TubeMQ or Pulsar) 消费数据, 你可以使用 [Pulsar SDK
Client](https://pulsar.apache.org/docs/en/2.8.3/client-libraries/) 或者 [TubeMQ
SDK Client](modules/tubemq/clients_java.md) 进行消费，
+---
+title: 自主消费
+sidebar_position: 2
+---
+
+## Overview
+**自主消费** 是指直接从消息队列服务中 (TubeMQ or Pulsar) 消费数据, 你可以使用 [Pulsar SDK
Client](https://pulsar.apache.org/docs/en/2.8.3/client-libraries/) 或者 [TubeMQ
SDK Client](modules/tubemq/clients_java.md) 进行消费，
获取到数据后，需要通过 [解析 InLongMsg](development/inlong_msg.md) 获取原数据进行下一步处理。
\ No newline at end of file
diff --git
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/load_node/clickhouse.md
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/load_node/clickhouse.md
index 200ced7d9..3fb707208 100644
---
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/load_node/clickhouse.md
+++
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/load_node/clickhouse.md
@@ -1,9 +1,9 @@
---
title: ClickHouse
-sidebar_position: 5
+sidebar_position: 3
---
-## ClickHouse Load 节点
+## 概览
`ClickHouse Load` 节点支持将数据写入 ClickHouse 数据库。 本文档介绍如何设置 ClickHouse Load 节点以对
ClickHouse 数据库运行 SQL 查询。
diff --git
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/load_node/elasticsearch.md
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/load_node/elasticsearch.md
index ddef13972..9a7f5435b 100644
---
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/load_node/elasticsearch.md
+++
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/load_node/elasticsearch.md
@@ -1,9 +1,9 @@
---
title: Elasticsearch
-sidebar_position: 8
+sidebar_position: 4
---
-## Elasticsearch Load 节点
+## 概览
Elasticsearch Load 节点允许将数据写入到 Elasticsearch 引擎的索引中。本文档描述运行 SQL 查询时如何设置
Elasticsearch Load 节点。
diff --git
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/load_node/greenplum.md
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/load_node/greenplum.md
index 9e5df92b2..e5226dbe8 100644
---
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/load_node/greenplum.md
+++
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/load_node/greenplum.md
@@ -1,9 +1,9 @@
---
title: Greenplum
-sidebar_position: 9
+sidebar_position: 5
---
-## Greenplum Load 节点
+## 概览
`Greenplum Load` 节点支持将数据写入 Greenplum 数据库。 本文档介绍如何设置 Greenplum Load 节点以对
Greenplum 数据库运行 SQL 查询。
diff --git
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/load_node/hbase.md
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/load_node/hbase.md
index bb871148d..b90914eaa 100644
---
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/load_node/hbase.md
+++
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/load_node/hbase.md
@@ -1,9 +1,9 @@
---
title: HBase
-sidebar_position: 10
+sidebar_position: 6
---
-## HBase Load 节点
+## 概览
`HBase Load` 节点支持写数据都 HBase 数据库.
diff --git
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/load_node/hdfs.md
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/load_node/hdfs.md
index 92c33ba84..a3efd2621 100644
---
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/load_node/hdfs.md
+++
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/load_node/hdfs.md
@@ -1,8 +1,9 @@
---
title: HDFS
-sidebar_position: 11
+sidebar_position: 7
---
-## HDFS 加载节点
+
+## 概览
HDFS 连接器为 Flink 内部依赖，支持分区文件。
在 Flink 中包含了该文件系统连接器，不需要添加额外的依赖。
相应的 jar 包可以在 Flink 工程项目的 /lib 目录下找到。
diff --git
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/load_node/hive.md
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/load_node/hive.md
index d8468a225..aeb403122 100644
---
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/load_node/hive.md
+++
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/load_node/hive.md
@@ -1,9 +1,9 @@
---
title: Hive
-sidebar_position: 2
+sidebar_position: 8
---
-## Hive 加载节点
+## 概览
Hive 加载节点可以将数据写入 Hive。使用 Flink 方言，目前仅支持 Insert 操作，Upsert 模式下的数据会转换成 Insert 方式
目前暂时不支持使用 Hive 方言操作 Hive 表。
diff --git
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/load_node/iceberg.md
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/load_node/iceberg.md
index e4f63b061..e19f12fa5 100644
---
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/load_node/iceberg.md
+++
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/load_node/iceberg.md
@@ -1,9 +1,9 @@
---
title: Iceberg
-sidebar_position: 3
+sidebar_position: 9
---
-## 概述
+## 概览
[Apache Iceberg](https://iceberg.apache.org/)是一种用于大型分析表的高性能格式。
diff --git
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/load_node/kafka.md
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/load_node/kafka.md
index 564cb1c35..fed246185 100644
---
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/load_node/kafka.md
+++
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/load_node/kafka.md
@@ -1,9 +1,9 @@
---
title: Kafka
-sidebar_position: 4
+sidebar_position: 10
---
-## Kafka Load Node
+## 概览
`Kafka Load` 节点支持写数据到 Kafka topics。 它支持以普通的方式写入数据和 Upsert 的方式写入数据。
upsert-kafka 连接器可以消费 changelog 流。它会将 INSERT/UPDATE_AFTER 数据作为正常的 Kafka 消息写入，并将
DELETE 数据以 value 为空的 Kafka 消息写入（表示对应 key 的消息被删除）。
diff --git
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/load_node/mysql.md
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/load_node/mysql.md
index 1c292daaf..21d59ff26 100644
---
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/load_node/mysql.md
+++
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/load_node/mysql.md
@@ -1,9 +1,9 @@
---
title: MySQL
-sidebar_position: 12
+sidebar_position: 11
---
-## MySQL Load 节点
+## 概览
`MySQL Load` 节点支持将数据写入 MySQL 数据库。 本文档介绍如何设置 MySQL Load 节点以对 MySQL 数据库运行 SQL 查询。
diff --git
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/load_node/oracle.md
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/load_node/oracle.md
index fa372ac3d..d8d4085bf 100644
---
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/load_node/oracle.md
+++
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/load_node/oracle.md
@@ -1,9 +1,9 @@
---
title: Oracle
-sidebar_position: 13
+sidebar_position: 12
---
-## Oracle Load 节点
+## 概览
`Oracle Load` 节点支持将数据写入 Oracle 数据库。 本文档介绍如何设置 Oracle Load 节点以对 Oracle 数据库运行
SQL 查询。
diff --git
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/load_node/overview.md
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/load_node/overview.md
index dc6e1ef6a..31177d29a 100644
---
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/load_node/overview.md
+++
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/load_node/overview.md
@@ -1,6 +1,6 @@
---
title: 总览
-sidebar_position: 1
+sidebar_position: 12
---
## 简介
diff --git
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/load_node/postgresql.md
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/load_node/postgresql.md
index bf6dfc320..84ccd8b5c 100644
---
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/load_node/postgresql.md
+++
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/load_node/postgresql.md
@@ -3,7 +3,7 @@ title: PostgreSQL
sidebar_position: 14
---
-## PostgreSQL Load 节点
+## 概览
`PostgreSQL Load` 节点支持将数据写入 PostgreSQL 数据库。 本文档介绍如何设置 PostgreSQL Load 节点以对
PostgreSQL 数据库运行 SQL 查询。
diff --git
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/load_node/sqlserver.md
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/load_node/sqlserver.md
index 459b6f124..381cd9ea1 100644
---
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/load_node/sqlserver.md
+++
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/load_node/sqlserver.md
@@ -3,7 +3,7 @@ title: SQLServer
sidebar_position: 15
---
-## SQLServer Load 节点
+## 概览
`SQLServer Load` 节点支持将数据写入 MySQL 数据库。 本文档介绍如何设置 SQLServer Load 节点以对 SQLServer
数据库运行 SQL 查询。
diff --git
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/load_node/tdsql-postgresql.md
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/load_node/tdsql-postgresql.md
index fcea41bef..57f716b93 100644
---
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/load_node/tdsql-postgresql.md
+++
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/data_node/load_node/tdsql-postgresql.md
@@ -3,7 +3,7 @@ title: TDSQL-PostgreSQL
sidebar_position: 16
---
-## TDSQL-PostgreSQL Load 节点
+## 概览
`TDSQL-PostgreSQL Load` 节点支持将数据写入 TDSQL-PostgreSQL 数据库。 本文档介绍如何设置
TDSQL-PostgreSQL Load 节点以对 TDSQL-PostgreSQL 数据库运行 SQL 查询。
diff --git
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/modules/sort/datastream_example.md
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/modules/sort/example.md
similarity index 64%
rename from
i18n/zh-CN/docusaurus-plugin-content-docs/current/modules/sort/datastream_example.md
rename to
i18n/zh-CN/docusaurus-plugin-content-docs/current/modules/sort/example.md
index 6bba02623..d3958f7cb 100644
---
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/modules/sort/datastream_example.md
+++ b/i18n/zh-CN/docusaurus-plugin-content-docs/current/modules/sort/example.md
@@ -8,33 +8,16 @@ sidebar_position: 3
为了更容易创建InLong-Sort作业，这里我们列出了一些数据流配置示例。
下面将介绍InLong-Sort的SQL、Dashboard、Manager客户端工具的使用。
-## 前置配置
-
-请确定是否有以下环境：
-* JDK 1.8.x
-* Flink 1.13.5
-* MySQL
-* Kafka
-* Hadoop
-* Hive 3.x
-
-如果没有相关环境可参见以下安装步骤：
-
-Step1. 如果没有可用的 Flink 集群环境，为了运行示例只需要构建一个 Flink Standalone 单集群。[Flink Standalone
Mode](https://nightlies.apache.org/flink/flink-docs-master/docs/deployment/resource-providers/standalone/overview/)
-
-Step2. 如果没有 MySQL 环境，需要安装 MySQL 及开启 binlog 能力。[MySQL Installation
Guide](https://dev.mysql.com/doc/mysql-installation-excerpt/5.7/en/) 和 [MySQL
binlog](https://dev.mysql.com/doc/refman/5.7/en/replication-howto-masterbaseconfig.html)
-（关于开启 MySQL binlog 能力也可以参考 Inlong MySQL 抽取节点配置的文档说明。）
-
-Step3. 本地如果没有 Kafka 或者 Hadoop 集群环境，需要安装单集群 Kafka 和 Hadoop 单集群。[Kafka
Installation Guide](https://kafka.apache.org/quickstart) 和 [Hadoop Installation
Guide](https://hadoop.apache.org/docs/stable/hadoop-project-dist/hadoop-common/SingleCluster.html)
-
-Step4. 下载安装 Hive 及开启 Hive metastore 服务。[Hive Installation
Guide](https://cwiki.apache.org/confluence/display/Hive//GettingStarted)
-
-Step5. 下载 Inlong 安装包 [inlong-distribution-(version)-incubating-bin.tar.gz]
(https://inlong.apache.org/download/main)
-和 Inlong Sort Connectors 依赖包
[inlong-distribution-(version)-incubating-sort-connectors.tar.gz](https://inlong.apache.org/download/main)
，示例需要的MySQL、Kakfa、Hive 等 connector 可以在 Connectors 中获取。
-
-Step6. 把 sort-dist-[version].jar 和 MySQL,Kafka,Hive 的 connector jar 放到
FLINK_HOME/lib 中。
-
-备注： 其中 sort-dist-[version].jar 在 inlong-sort 包中。
[inlong-distribution-(version)-incubating-bin.tar.gz](https://inlong.apache.org/download/main)
+## 环境要求
+- JDK 1.8.x
+- Flink 1.13.5
+- MySQL
+- Kafka
+- Hadoop
+- Hive 3.x
+
+## 准备 InLong Sort 和 Connectors
+你可以通过参考[部署指引](quick_start.md)准备 InLong Sort 和数据节点 Connectors。
## 使用 SQL API 方式
diff --git
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/modules/sort/overview.md
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/modules/sort/overview.md
index c11c73adf..6e9a1db72 100644
--- a/i18n/zh-CN/docusaurus-plugin-content-docs/current/modules/sort/overview.md
+++ b/i18n/zh-CN/docusaurus-plugin-content-docs/current/modules/sort/overview.md
@@ -3,46 +3,31 @@ title: 总览
sidebar_position: 1
---
-# 简介
-InLong-Sort 是一个基于 Flink 的 ETL 系统，支持多种数据源，支持简单的字段抽取，支持多种存储系统。
-InLong-Sort 依赖 InLong-Manager 进行系统元数据的管理。
-
-# 特性
-
-## 支持的 Extract Node
-- Pulsar
-- MySQL
-- Kafka
-- MongoDB
-- PostgreSQL
-- HDFS
-- TDSQL Postgres
-
-## 支持的 Transform
-- 字符串分割
-- 字符串正则替换
-- 字符串正则替换第一个匹配值
-- 数据过滤
-- 数据去重
-- 常规Join
-
-## 支持的 Load Node
-- Hive
-- Kafka
-- HBase
-- ClickHouse
-- Iceberg
-- PostgreSQL
-- HDFS
-- TDSQL Postgres
-
-## 未来规划
-### 支持更多种类的 Extract Node
-Oracle, SqlServer 等。
-
-### 支持更多种类的 Transform
-时间窗口聚合, 内容提取, 类型转换, 时间格式转换等。
-
-### 支持更多种类的 Load Node
-Elasticsearch 等。
+## 简介
+InLong Sort 是一个基于 Apache Flink 的 ETL 系统，支持多种数据源，支持简单的字段抽取，支持多种存储系统。
+InLong Sort 既支持和 Manager 一起配合使用，通过 Manager 进行系统元数据的管理，也可以在 Flink 环境下独立运行。
+
+## 特性
+### 支持多种数据节点
+| Type | Service |
+|--------------|--------------------------------------------|
+| Extract Node | Pulsar |
+| | MySQL |
+| | Kafka |
+| | MongoDB |
+| | PostgreSQL |
+| Transform | String Split |
+| | String Regular Replace |
+| | String Regular Replace First Matched Value |
+| | Data Filter |
+| | Data Distinct |
+| | Regular Join |
+| Load Node | Hive |
+| | Kafka |
+| | HBase |
+| | ClickHouse |
+| | Iceberg |
+| | PostgreSQL |
+| | HDFS |
+| | TDSQL Postgres |
diff --git
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/modules/sort/quick_start.md
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/modules/sort/quick_start.md
index 49c693691..fa2fbffe2 100644
---
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/modules/sort/quick_start.md
+++
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/modules/sort/quick_start.md
@@ -4,37 +4,23 @@ sidebar_position: 2
---
## 配置 Flink 运行环境
-当前 InLong-Sort 是基于 Flink 的一个应用，因此运行 InLong-Sort 应用前，需要准备好 [Flink
环境](https://nightlies.apache.org/flink/flink-docs-release-1.13/docs/deployment/overview/)。
+当前 InLong Sort 是基于 Flink 的一个应用，因此运行 InLong Sort 应用前，需要准备好 [Flink
环境](https://nightlies.apache.org/flink/flink-docs-release-1.13/docs/deployment/overview/)。
-由于当前 InLong-Sort 依赖的是 Flink1.13.5
版本，因此在下载部署包时，请选择`flink-1.13.5-bin-scala_2.11.tgz`
-
-Flink 环境配置完成后，可以通过浏览器访问 Flink 的 Web UI，对应的地址是`/{Flink 部署路径}/conf/masters`文件中的地址
+由于当前 InLong Sort 依赖的是 Flink1.13.5
版本，因此在下载部署包时，请选择`flink-1.13.5-bin-scala_2.11.tgz`
## 准备安装文件
-我们需要`sort-dist-[version].jar`和`sort-connector-[database]-[version].jar`。
-
-`sort-dist-[version].jar` 包含主类 `org.apache.inlong.sort.Entrance`。
-
-`sort-connector-[database]-[version].jar` 是连接器 jar。
-
-请根据你的数据集成要求选择所需的连接器 jar。
-
-请[下载](https://inlong.apache.org/zh-CN/download/main/)
`apache-inlong-[version]-bin.tar.gz` 解压后从 `inlong-sort` 目录拿到
`sort-dist-[version].jar` 。
-
-请[下载](https://inlong.apache.org/zh-CN/download/main/)
`apache-inlong-{version}-sort-connectors.tar.gz` 解压后拿到
`sort-connector-[database]-[version].jar`。
-
-下载后可以将需要的jars放到`FLINK_HOME/lib/`下。
+- InLong Sort 运行文件，[下载](https://inlong.apache.org/zh-CN/download/main/)
`apache-inlong-[version]-bin.tar.gz`
+- 数据节点 Connectors，[下载](https://inlong.apache.org/zh-CN/download/main/)
`apache-inlong-{version}-sort-connectors.tar.gz`
-## 启动 InLong-Sort 应用
-有了上述编译阶段产出的jar包后，就可以启动 InLong-Sort 的应用了。提交方式可以参考[如何提交 Flink
作业](https://nightlies.apache.org/flink/flink-docs-release-1.13/docs/deployment/cli/#submitting-a-job)。
+注意：Connectors 下载后可以将需要的 jars 放到`FLINK_HOME/lib/`下。
-示例：
+## 启动 InLong Sort
```
-./bin/flink run -c org.apache.inlong.sort.Entrance
FLINK_HOME/lib/sort-dist-[version].jar \
---sql.script.file /YOUR_SQL_SCRIPT_DIR/mysql-to-postgresql.sql
+./bin/flink run -c org.apache.inlong.sort.Entrance
apache-inlong-[version]-bin/inlong-sort/sort-dist-[version].jar \
+--sql.script.file mysql-to-postgresql.sql
```
-## 必要的配置
+## 配置
`/YOUR_SQL_SCRIPT_DIR/mysql-to-postgresql.sql` 是一个 sql 脚本文件，包含多个 Flink SQL
语句，可以用分号分隔。
语句可以支持`CREATE TABLE`、`CRETAE VIEW`、`INSERT INTO`。 我们可以写sql来做数据集成。
