<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Toolchain on Apache HugeGraph</title><link>https://hugegraph.apache.org/versions/1.0/docs/quickstart/toolchain/</link><description>Recent content in Toolchain on Apache HugeGraph</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Mon, 01 Jan 0001 00:00:00 +0000</lastBuildDate><atom:link href="https://hugegraph.apache.org/versions/1.0/docs/quickstart/toolchain/index.xml" rel="self" type="application/rss+xml"/><item><title>HugeGraph-Loader Quick Start</title><link>https://hugegraph.apache.org/versions/1.0/docs/quickstart/toolchain/hugegraph-loader/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://hugegraph.apache.org/versions/1.0/docs/quickstart/toolchain/hugegraph-loader/</guid><description>&lt;h3 id="1-hugegraph-loader-overview"&gt;1 HugeGraph-Loader Overview&#10;&lt;/h3&gt;&#10;&lt;p&gt;HugeGraph-Loader is the data import component of HugeGraph, which can convert data from various data sources into graph vertices and edges and import them into the graph database in batches.&lt;/p&gt;&#10;&lt;p&gt;Currently supported data sources include:&lt;/p&gt;&#10;&lt;ul&gt;&#10;&lt;li&gt;Local disk file or directory, supports TEXT, CSV and JSON format files, supports compressed files&lt;/li&gt;&#10;&lt;li&gt;HDFS file or directory, supports compressed files&lt;/li&gt;&#10;&lt;li&gt;Mainstream relational databases, such as MySQL, PostgreSQL, Oracle, SQL Server&lt;/li&gt;&#10;&lt;/ul&gt;&#10;&lt;p&gt;Local disk files and HDFS files support resumable uploads.&lt;/p&gt;</description></item><item><title>HugeGraph-Tools Quick Start</title><link>https://hugegraph.apache.org/versions/1.0/docs/quickstart/toolchain/hugegraph-tools/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://hugegraph.apache.org/versions/1.0/docs/quickstart/toolchain/hugegraph-tools/</guid><description>&lt;h3 id="1-hugegraph-tools概述"&gt;1 HugeGraph-Tools概述&#10;&lt;/h3&gt;&#10;&lt;p&gt;HugeGraph-Tools 是 HugeGraph 的自动化部署、管理和备份/还原组件。&lt;/p&gt;&#10;&lt;h3 id="2-获取-hugegraph-tools"&gt;2 获取 HugeGraph-Tools&#10;&lt;/h3&gt;&#10;&lt;p&gt;有两种方式可以获取 HugeGraph-Tools：&lt;/p&gt;&#10;&lt;ul&gt;&#10;&lt;li&gt;下载二进制tar包&lt;/li&gt;&#10;&lt;li&gt;下载源码编译安装&lt;/li&gt;&#10;&lt;/ul&gt;&#10;&lt;h4 id="21-下载二进制tar包"&gt;2.1 下载二进制tar包&#10;&lt;/h4&gt;&#10;&lt;p&gt;下载最新版本的 HugeGraph-Tools 包：&lt;/p&gt;&#10;&lt;div class="td-code td-code--untitled" id="td-code-beb85dde-fence-0" data-td-code data-td-code-auto-id&#10; data-td-language="bash" data-td-line-count="2"&gt;&#10; &lt;div class="td-code__viewport" id="td-code-beb85dde-fence-0-viewport" data-td-code-viewport&gt;&lt;div class="highlight"&gt;&lt;pre tabindex="0" class="chroma"&gt;&lt;code class="language-bash" data-lang="bash"&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;wget https://github.com/hugegraph/hugegraph-tools/releases/download/v&lt;span class="si"&gt;${&lt;/span&gt;&lt;span class="nv"&gt;version&lt;/span&gt;&lt;span class="si"&gt;}&lt;/span&gt;/hugegraph-tools-&lt;span class="si"&gt;${&lt;/span&gt;&lt;span class="nv"&gt;version&lt;/span&gt;&lt;span class="si"&gt;}&lt;/span&gt;.tar.gz&#10;&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;tar zxvf hugegraph-tools-&lt;span class="si"&gt;${&lt;/span&gt;&lt;span class="nv"&gt;version&lt;/span&gt;&lt;span class="si"&gt;}&lt;/span&gt;.tar.gz&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;&lt;/div&gt;&#10;&lt;/div&gt;&#10;&lt;h4 id="22-下载源码编译安装"&gt;2.2 下载源码编译安装&#10;&lt;/h4&gt;&#10;&lt;p&gt;下载最新版本的 HugeGraph-Tools 源码包：&lt;/p&gt;&#10;&lt;div class="td-code td-code--untitled" id="td-code-beb85dde-fence-1" data-td-code data-td-code-auto-id&#10; data-td-language="bash" data-td-line-count="1"&gt;&#10; &lt;div class="td-code__viewport" id="td-code-beb85dde-fence-1-viewport" data-td-code-viewport&gt;&lt;div class="highlight"&gt;&lt;pre tabindex="0" class="chroma"&gt;&lt;code class="language-bash" data-lang="bash"&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;$ git clone https://github.com/hugegraph/hugegraph-tools.git&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;&lt;/div&gt;&#10;&lt;/div&gt;&#10;&lt;p&gt;编译生成 tar 包:&lt;/p&gt;&#10;&lt;div class="td-code td-code--untitled" id="td-code-beb85dde-fence-2" data-td-code data-td-code-auto-id&#10; data-td-language="bash" data-td-line-count="2"&gt;&#10; &lt;div class="td-code__viewport" id="td-code-beb85dde-fence-2-viewport" data-td-code-viewport&gt;&lt;div class="highlight"&gt;&lt;pre tabindex="0" class="chroma"&gt;&lt;code class="language-bash" data-lang="bash"&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="nb"&gt;cd&lt;/span&gt; hugegraph-tools&#10;&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;mvn package -DskipTests&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;&lt;/div&gt;&#10;&lt;/div&gt;&#10;&lt;p&gt;生成 tar 包 hugegraph-tools-${version}.tar.gz&lt;/p&gt;</description></item><item><title>HugeGraph-Hubble Quick Start</title><link>https://hugegraph.apache.org/versions/1.0/docs/quickstart/toolchain/hugegraph-hubble/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://hugegraph.apache.org/versions/1.0/docs/quickstart/toolchain/hugegraph-hubble/</guid><description>&lt;h3 id="1-hugegraph-hubble-overview"&gt;1 HugeGraph-Hubble Overview&#10;&lt;/h3&gt;&#10;&lt;p&gt;HugeGraph is an analysis-oriented graph database system that supports batch operations, which fully supports &lt;a href="https://tinkerpop.apache.org"&gt;Apache TinkerPop3&lt;/a&gt; framework and &lt;a href="https://tinkerpop.apache.org/gremlin.html"&gt;Gremlin&lt;/a&gt; graph query language. It provides a complete tool chain ecology such as export, backup, and recovery, and effectively solve the storage, query and correlation analysis needs of massive graph data. HugeGraph is widely used in the fields of risk control, insurance claims, recommendation search, public security crime crackdown, knowledge graph, network security, IT operation and maintenance of bank securities companies, and is committed to allowing more industries, organizations and users to enjoy a wider range of data comprehensive value.&lt;/p&gt;</description></item></channel></rss>