chore: update for release 1.5

NOTICE

@@ -1,5 +1,5 @@
 Apache HugeGraph(incubating)
-Copyright 2022-2023 The Apache Software Foundation
+Copyright 2022-2024 The Apache Software Foundation
 
 This product includes software developed at
 The Apache Software Foundation (http://www.apache.org/).

README.md

@@ -5,17 +5,19 @@
 [![codecov](https://codecov.io/gh/apache/incubator-hugegraph-computer/branch/master/graph/badge.svg)](https://codecov.io/gh/apache/incubator-hugegraph-computer)
 [![Docker Pulls](https://img.shields.io/docker/pulls/hugegraph/hugegraph-computer)](https://hub.docker.com/repository/docker/hugegraph/hugegraph-computer)
 
-The [hugegraph-computer](./computer/README.md) is a distributed graph processing system for hugegraph.
+The [hugegraph-computer](./computer/README.md) is a distributed graph processing system for hugegraph. 
+(Also, the in-memory computing engine(vermeer) is on the way 🚧)
 
 ## Learn More
 
-The [project homepage](https://hugegraph.apache.org/docs/) contains more information about hugegraph-computer.
+The [project homepage](https://hugegraph.apache.org/docs/quickstart/hugegraph-computer/) contains more information about hugegraph-computer.
 
 And here are links of other repositories:
-1. [hugegraph-server](https://github.com/apache/hugegraph) (graph's core component - OLTP server)
-2. [hugegraph-toolchain](https://github.com/apache/hugegraph-toolchain) (include loader/dashboard/tool/client)
-3. [hugegraph-commons](https://github.com/apache/hugegraph-commons) (include common & rpc module)
-4. [hugegraph-website](https://github.com/apache/hugegraph-doc) (include doc & website code)
+1. [hugegraph](https://github.com/apache/hugegraph) (graph's core component - Graph server + PD + Store)
+2. [hugegraph-toolchain](https://github.com/apache/hugegraph-toolchain) (graph tools **[loader](https://github.com/apache/incubator-hugegraph-toolchain/tree/master/hugegraph-loader)/[dashboard](https://github.com/apache/incubator-hugegraph-toolchain/tree/master/hugegraph-hubble)/[tool](https://github.com/apache/incubator-hugegraph-toolchain/tree/master/hugegraph-tools)/[client](https://github.com/apache/incubator-hugegraph-toolchain/tree/master/hugegraph-client)**)
+3. [hugegraph-ai](https://github.com/apache/incubator-hugegraph-ai) (integrated **Graph AI/LLM/KG** system)
+4. [hugegraph-website](https://github.com/apache/hugegraph-doc) (**doc & website** code)
+
 
 ## Note
 
@@ -41,5 +43,5 @@ hugegraph-computer is licensed under [Apache 2.0](https://github.com/apache/incu
  - Feedback Email: [[email protected]](mailto:[email protected]) ([subscriber](https://hugegraph.apache.org/docs/contribution-guidelines/subscribe/) only)
  - WeChat public account: Apache HugeGraph, welcome to scan this QR code to follow us.
 
- <img src="https://github.com/apache/incubator-hugegraph-doc/blob/master/assets/images/wechat.png?raw=true" alt="QR png" width="350"/>
+ <img src="https://github.com/apache/hugegraph-doc/blob/master/assets/images/wechat.png?raw=true" alt="QR png" width="350"/>
 

computer/README.md

@@ -5,8 +5,8 @@ The hugegraph-computer is a distributed graph processing system for hugegraph. I
 ## Features
 
 - Support distributed MPP graph computing, and integrates with HugeGraph as graph input/output storage.
-- Based on BSP(Bulk Synchronous Parallel) model, an algorithm performs computing through multiple parallel iterations, every iteration is a superstep.
+- Based on BSP (Bulk Synchronous Parallel) model, an algorithm performs computing through multiple parallel iterations, every iteration is a superstep.
 - Auto memory management. The framework will never be OOM(Out of Memory) since it will split some data to disk if it doesn't have enough memory to hold all the data.
-- The part of edges or the messages of super node can be in memory, so you will never lose it.
+- The part of edges or the messages of supernode can be in memory, so you will never lose it.
 - You can load the data from HDFS or HugeGraph, output the results to HDFS or HugeGraph, or adapt any other systems manually as needed.
-- Easy to develop a new algorithm. You just need to focus on a vertex only processing just like as in a single server, without worrying about message transfer and memory/storage management.
+- Easy to develop a new algorithm. You need to focus on a vertex only processing just like as in a single server, without worrying about message transfer and memory/storage management.

computer/pom.xml

@@ -91,12 +91,9 @@
     </prerequisites>
 
     <properties>
-        <!-- TODO: update the version after toolchain v1.2 fixed -->
-        <revision>1.3.0</revision>
-        <hugegraph-common-version>1.3.0</hugegraph-common-version>
-        <hugegraph-client-version>1.3.0</hugegraph-client-version>
-        <hugegraph-rpc-version>1.3.0</hugegraph-rpc-version>
-        <hugegraph-loader-version>1.3.0</hugegraph-loader-version>
+        <revision>1.5.0</revision>
+        <hugegraph-commons-version>${revision}</hugegraph-commons-version>
+        <hugegraph-toolchain-version>${revision}</hugegraph-toolchain-version>
         <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
         <top.level.dir>${project.basedir}/..</top.level.dir>
         <release.name>hugegraph-computer</release.name>
@@ -128,12 +125,12 @@
             <dependency>
                 <groupId>org.apache.hugegraph</groupId>
                 <artifactId>hugegraph-common</artifactId>
-                <version>${hugegraph-common-version}</version>
+                <version>${hugegraph-commons-version}</version>
             </dependency>
             <dependency>
                 <groupId>org.apache.hugegraph</groupId>
                 <artifactId>hugegraph-rpc</artifactId>
-                <version>${hugegraph-rpc-version}</version>
+                <version>${hugegraph-commons-version}</version>
                 <exclusions>
                     <!-- conflict with etcd -->
                     <exclusion>
@@ -154,7 +151,7 @@
             <dependency>
                 <groupId>org.apache.hugegraph</groupId>
                 <artifactId>hugegraph-client</artifactId>
-                <version>${hugegraph-client-version}</version>
+                <version>${hugegraph-toolchain-version}</version>
             </dependency>
             <dependency>
                 <groupId>org.apache.hugegraph</groupId>
@@ -251,7 +248,7 @@
             <dependency>
                 <groupId>org.apache.hugegraph</groupId>
                 <artifactId>hugegraph-loader</artifactId>
-                <version>${hugegraph-loader-version}</version>
+                <version>${hugegraph-toolchain-version}</version>
                 <exclusions>
                     <exclusion>
                         <groupId>org.apache.hive</groupId>