This is an automated email from the ASF dual-hosted git repository.
github-bot pushed a commit to branch asf-site
in repository https://gitbox.apache.org/repos/asf/incubator-hugegraph-doc.git
The following commit(s) were added to refs/heads/asf-site by this push:
new 058a0a7c Update README.md b19c38f59b35382841b6010841868e3026ee5885
058a0a7c is described below
commit 058a0a7c178ccace127d7c20dc2e4208c3d312a7
Author: coderzc <[email protected]>
AuthorDate: Sun Nov 27 13:38:33 2022 +0000
Update README.md b19c38f59b35382841b6010841868e3026ee5885
---
docs/_print/index.html | 4 ++--
docs/index.xml | 4 ++--
docs/introduction/readme/index.html | 6 +++---
en/index.html | 2 +-
en/sitemap.xml | 2 +-
sitemap.xml | 2 +-
6 files changed, 10 insertions(+), 10 deletions(-)
diff --git a/docs/_print/index.html b/docs/_print/index.html
index 8f6dc172..195b5f25 100644
--- a/docs/_print/index.html
+++ b/docs/_print/index.html
@@ -4,8 +4,8 @@
<a href=# onclick="return print(),!1">Click here to print</a>.</p><p><a
href=/docs/>Return to the regular view of this page</a>.</p></div><h1
class=title>Documentation</h1><ul><li>1: <a
href=#pg-7dd24b6126e5b249f96de862bfc51025>Introduction with
HugeGraph</a></li><li>2: <a href=#pg-64d47cfe1880443239e7c31f8fd1ac1a>Download
HugeGraph</a></li><li>3: <a href=#pg-08b1b69f6319108b0455d24614fdd660>Quick
Start</a></li><ul><li>3.1: <a
href=#pg-8ec2ee5fd8ff8e48255d55eab65d92b6>HugeGraph-Server Qu [...]
implemented the <a href=https://tinkerpop.apache.org>Apache TinkerPop3</a>
framework and is fully compatible with the <a
href=https://tinkerpop.apache.org/gremlin.html>Gremlin</a> query language,
With complete toolchain components, it helps users to easily build
applications and products based on graph databases. HugeGraph supports fast
import of more than 10 billion vertices and edges, and provides
millisecond-level relational query capability (OLTP).
-It can be integrated with big data platforms such as Hadoop and Spark for
offline analysis (OLAP).</p><p>Typical application scenarios of HugeGraph
include deep relationship exploration, association analysis, path search,
feature extraction, data clustering, community detection, knowledge graph,
etc., and are applicable to business fields such as network security,
telecommunication fraud, financial risk control, advertising recommendation,
social network and intelligence Robots etc.</p>< [...]
-HugeGraph supports multi-user parallel operations. Users can enter Gremlin
query statements and get graph query results in time. They can also call
HugeGraph API in user programs for graph analysis or query.</p><p>This system
has the following features:</p><ul><li>Ease of use: HugeGraph supports Gremlin
graph query language and RESTful API, provides common interfaces for graph
retrieval, and has peripheral tools with complete functions to easily implement
various graph-based query and an [...]
+It support large-scale distributed graph computing (OLAP).</p><p>Typical
application scenarios of HugeGraph include deep relationship exploration,
association analysis, path search, feature extraction, data clustering,
community detection, knowledge graph, etc., and are applicable to business
fields such as network security, telecommunication fraud, financial risk
control, advertising recommendation, social network and intelligence Robots
etc.</p><p>Typical application scenarios of HugeG [...]
+HugeGraph supports multi-user parallel operations. Users can enter Gremlin
query statements and get graph query results in time. They can also call
HugeGraph API in user programs for graph analysis or query.</p><p>This system
has the following features:</p><ul><li>Ease of use: HugeGraph supports Gremlin
graph query language and RESTful API, provides common interfaces for graph
retrieval, and has peripheral tools with complete functions to easily implement
various graph-based query and an [...]
</span></span></code></pre></div><h4
id=22-install-gcc-430glibcxx_3410-or-update-version-optional>2.2 Install
GCC-4.3.0(GLIBCXX_3.4.10) or update version (optional)</h4><p>If you are using
the RocksDB backend, be sure to execute the <code>gcc --version</code> command
to check the gcc version; if you are using other backends, this is not
required.</p><div class=highlight><pre tabindex=0
style=background-color:#f8f8f8;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code
class=language-bash data- [...]
</span></span></code></pre></div><h3 id=3-deploy>3 Deploy</h3><p>There are
three ways to deploy HugeGraph-Server components:</p><ul><li>Method 1:
One-click deployment</li><li>Method 2: Download the tarball</li><li>Method 3:
Source code compilation</li></ul><h4 id=31-one-click-deployment>3.1 One-click
deployment</h4><p>HugeGraph-Tools provides a command-line tool for one-click
deployment, users can use this tool to quickly download、decompress、configure
and start HugeGraphServer and HugeGr [...]
of course, you still have to download the tarball of HugeGraph-Tools
first.</p><div class=highlight><pre tabindex=0
style=background-color:#f8f8f8;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code
class=language-bash data-lang=bash><span style=display:flex><span>wget
https://github.com/hugegraph/hugegraph-tools/releases/download/v<span
style=color:#4e9a06>${</span><span style=color:#000>version</span><span
style=color:#4e9a06>}</span>/hugegraph-tools-<span
style=color:#4e9a06>${</span><span [...]
diff --git a/docs/index.xml b/docs/index.xml
index 0e5a8fd0..f31feada 100644
--- a/docs/index.xml
+++ b/docs/index.xml
@@ -1604,7 +1604,7 @@ restserver.url=http://0.0.0.0:8080
<p>HugeGraph is an easy-to-use, efficient, general-purpose open source
graph database system(Graph Database, <a
href="https://github.com/hugegraph/hugegraph";>GitHub project address</a>),
implemented the <a href="https://tinkerpop.apache.org";>Apache
TinkerPop3</a> framework and is fully compatible with the <a
href="https://tinkerpop.apache.org/gremlin.html";>Gremlin</a> query language,
With complete toolchain components, it helps users to easily build
applications and products based on graph databases. HugeGraph supports fast
import of more than 10 billion vertices and edges, and provides
millisecond-level relational query capability (OLTP).
-It can be integrated with big data platforms such as Hadoop and Spark for
offline analysis (OLAP).</p>
+It support large-scale distributed graph computing (OLAP).</p>
<p>Typical application scenarios of HugeGraph include deep relationship
exploration, association analysis, path search, feature extraction, data
clustering, community detection, knowledge graph, etc., and are applicable to
business fields such as network security, telecommunication fraud, financial
risk control, advertising recommendation, social network and intelligence
Robots etc.</p>
<p>Typical application scenarios of HugeGraph include deep relationship
exploration, association analysis, path search, feature extraction, data
clustering, community detection, knowledge graph, etc., and are applicable to
business fields such as network security, telecommunication fraud, financial
risk control, advertising recommendation, social network and intelligence
Robots etc.</p>
<h3 id="features">Features</h3>
@@ -1643,7 +1643,7 @@ HugeGraph supports multi-user parallel operations. Users
can enter Gremlin query
</li>
<li><a href="/docs/quickstart/hugegraph-client">HugeGraph-Client</a>:
HugeGraph-Client provides a RESTful API client for connecting to
HugeGraph-Server. Currently, only Java version is implemented. Users of other
languages can implement it by themselves;</li>
<li><a href="/docs/quickstart/hugegraph-loader">HugeGraph-Loader</a>:
HugeGraph-Loader is a data import tool based on HugeGraph-Client, which
converts ordinary text data into graph vertices and edges and inserts them into
graph database;</li>
-<li><a
href="/docs/quickstart/hugegraph-computer">HugeGraph-Computer</a>:
HugeGraph-Computer is a distributed graph processing system for HugeGraph
(OLAP). It is an implementation of [Pregel](<a
href="https://kowshik.github";>https://kowshik.github</a>.
io/JPregel/pregel_paper.pdf). It runs on Kubernetes framework;</li>
+<li><a
href="/docs/quickstart/hugegraph-computer">HugeGraph-Computer</a>:
HugeGraph-Computer is a distributed graph processing system for HugeGraph
(OLAP). It is an implementation of <a
href="https://kowshik.github.io/JPregel/pregel_paper.pdf";>Pregel</a>. It
runs on Kubernetes framework;</li>
<li><a href="/docs/quickstart/hugegraph-hubble">HugeGraph-Hubble</a>:
HugeGraph-Hubble is HugeGraph&rsquo;s web visualization management
platform, a one-stop visual analysis platform. The platform covers the whole
process from data modeling, to rapid data import, to online and offline
analysis of data, and unified management of graphs;</li>
<li><a href="/docs/quickstart/hugegraph-tools">HugeGraph-Tools</a>:
HugeGraph-Tools is HugeGraph&rsquo;s deployment and management tools,
including functions such as managing graphs, backup/restore, Gremlin execution,
etc.</li>
</ul>
diff --git a/docs/introduction/readme/index.html
b/docs/introduction/readme/index.html
index fba03c96..5979bdf7 100644
--- a/docs/introduction/readme/index.html
+++ b/docs/introduction/readme/index.html
@@ -1,6 +1,6 @@
<!doctype html><html lang=en class=no-js><head><meta charset=utf-8><meta
name=viewport
content="width=device-width,initial-scale=1,shrink-to-fit=no"><meta
name=generator content="Hugo 0.102.3"><meta name=robots content="index,
follow"><link rel="shortcut icon" href=/favicons/favicon.ico><link
rel=apple-touch-icon href=/favicons/apple-touch-icon-180x180.png
sizes=180x180><link rel=icon type=image/png href=/favicons/favicon-16x16.png
sizes=16x16><link rel=icon type=image/png href=/favicons [...]
HugeGraph is an easy-to-use, efficient, general-purpose open source graph
database system(Graph Database, GitHub project address),
-implemented …"><meta property="og:title" content="Introduction with
HugeGraph"><meta property="og:description" content="Summary HugeGraph is an
easy-to-use, efficient, general-purpose open source graph database system(Graph
Database, GitHub project address), implemented the Apache TinkerPop3 framework
and is fully compatible with the Gremlin query language, With complete
toolchain components, it helps users to easily build applications and products
based on graph databases. HugeGraph sup [...]
+implemented …"><meta property="og:title" content="Introduction with
HugeGraph"><meta property="og:description" content="Summary HugeGraph is an
easy-to-use, efficient, general-purpose open source graph database system(Graph
Database, GitHub project address), implemented the Apache TinkerPop3 framework
and is fully compatible with the Gremlin query language, With complete
toolchain components, it helps users to easily build applications and products
based on graph databases. HugeGraph sup [...]
<link rel=stylesheet href=/css/prism.css><script
type=application/javascript>var
doNotTrack=!1;doNotTrack||(window.ga=window.ga||function(){(ga.q=ga.q||[]).push(arguments)},ga.l=+new
Date,ga("create","UA-00000000-0","auto"),ga("send","pageview"))</script><script
async src=https://www.google-analytics.com/analytics.js></script></head><body
class=td-page><header><nav class="js-navbar-scroll navbar navbar-expand
navbar-dark flex-column flex-md-row td-navbar"><a class=navbar-brand href=/><sp
[...]
<a
href=https://github.com/apache/incubator-hugegraph-doc/edit/master/content/en/docs/introduction/README.md
class=td-page-meta--edit target=_blank rel=noopener><i class="fa fa-edit
fa-fw"></i> Edit this page</a>
<a
href="https://github.com/apache/incubator-hugegraph-doc/new/master/content/en/docs/introduction/README.md?filename=change-me.md&value=---%0Atitle%3A+%22Long+Page+Title%22%0AlinkTitle%3A+%22Short+Nav+Title%22%0Aweight%3A+100%0Adescription%3A+%3E-%0A+++++Page+description+for+heading+and+indexes.%0A---%0A%0A%23%23+Heading%0A%0AEdit+this+template+to+create+your+new+page.%0A%0A%2A+Give+it+a+good+name%2C+ending+in+%60.md%60+-+e.g.+%60getting-started.md%60%0A%2A+Edit+the+%22front+matter%22+s
[...]
@@ -9,8 +9,8 @@ implemented …"><meta property="og:title" content="Introduction
with HugeGraph"
<a id=print href=/docs/_print/><i class="fa fa-print fa-fw"></i> Print entire
section</a></div><div class=td-toc><nav id=TableOfContents><ul><li><ul><li><a
href=#summary>Summary</a></li><li><a href=#features>Features</a></li><li><a
href=#modules>Modules</a></li><li><a href=#contact-us>Contact
Us</a></li></ul></li></ul></nav></div></aside><main class="col-12 col-md-9
col-xl-8 pl-md-5" role=main><nav aria-label=breadcrumb class=td-breadcrumbs><ol
class=breadcrumb><li class=breadcrumb-item> [...]
implemented the <a href=https://tinkerpop.apache.org>Apache TinkerPop3</a>
framework and is fully compatible with the <a
href=https://tinkerpop.apache.org/gremlin.html>Gremlin</a> query language,
With complete toolchain components, it helps users to easily build
applications and products based on graph databases. HugeGraph supports fast
import of more than 10 billion vertices and edges, and provides
millisecond-level relational query capability (OLTP).
-It can be integrated with big data platforms such as Hadoop and Spark for
offline analysis (OLAP).</p><p>Typical application scenarios of HugeGraph
include deep relationship exploration, association analysis, path search,
feature extraction, data clustering, community detection, knowledge graph,
etc., and are applicable to business fields such as network security,
telecommunication fraud, financial risk control, advertising recommendation,
social network and intelligence Robots etc.</p>< [...]
-HugeGraph supports multi-user parallel operations. Users can enter Gremlin
query statements and get graph query results in time. They can also call
HugeGraph API in user programs for graph analysis or query.</p><p>This system
has the following features:</p><ul><li>Ease of use: HugeGraph supports Gremlin
graph query language and RESTful API, provides common interfaces for graph
retrieval, and has peripheral tools with complete functions to easily implement
various graph-based query and an [...]
+It support large-scale distributed graph computing (OLAP).</p><p>Typical
application scenarios of HugeGraph include deep relationship exploration,
association analysis, path search, feature extraction, data clustering,
community detection, knowledge graph, etc., and are applicable to business
fields such as network security, telecommunication fraud, financial risk
control, advertising recommendation, social network and intelligence Robots
etc.</p><p>Typical application scenarios of HugeG [...]
+HugeGraph supports multi-user parallel operations. Users can enter Gremlin
query statements and get graph query results in time. They can also call
HugeGraph API in user programs for graph analysis or query.</p><p>This system
has the following features:</p><ul><li>Ease of use: HugeGraph supports Gremlin
graph query language and RESTful API, provides common interfaces for graph
retrieval, and has peripheral tools with complete functions to easily implement
various graph-based query and an [...]
<script
src=https://cdn.jsdelivr.net/npm/[email protected]/dist/js/bootstrap.min.js
integrity="sha512-UR25UO94eTnCVwjbXozyeVd6ZqpaAE9naiEUBK/A+QDbfSTQFhPGj5lOR6d8tsgbBk84Ggb5A3EkjsOgPRPcKA=="
crossorigin=anonymous></script>
<script src=/js/tabpane-persist.js></script>
<script
src=/js/main.min.aa9f4c5dae6a98b2c46277f4c56f1673a2b000d1756ce4ffae93784cab25e6d5.js
integrity="sha256-qp9MXa5qmLLEYnf0xW8Wc6KwANF1bOT/rpN4TKsl5tU="
crossorigin=anonymous></script>
diff --git a/en/index.html b/en/index.html
index 017c4d50..2b641798 100644
--- a/en/index.html
+++ b/en/index.html
@@ -1 +1 @@
-<!doctype html><html lang=cn><head><title>/</title><link rel=canonical
href=/><meta name=robots content="noindex"><meta charset=utf-8><meta
http-equiv=refresh content="0; url=/"></head></html>
\ No newline at end of file
+<!doctype html><html lang=en><head><title>/</title><link rel=canonical
href=/><meta name=robots content="noindex"><meta charset=utf-8><meta
http-equiv=refresh content="0; url=/"></head></html>
\ No newline at end of file
diff --git a/en/sitemap.xml b/en/sitemap.xml
index d37daf0a..26cba47f 100644
--- a/en/sitemap.xml
+++ b/en/sitemap.xml
@@ -1 +1 @@
-<?xml version="1.0" encoding="utf-8" standalone="yes"?><urlset
xmlns="http://www.sitemaps.org/schemas/sitemap/0.9";
xmlns:xhtml="http://www.w3.org/1999/xhtml";><url><loc>/docs/guides/architectural/</loc><lastmod>2022-11-27T21:05:55+08:00</lastmod><xhtml:link
rel="alternate" hreflang="cn"
href="/cn/docs/guides/architectural/"/><xhtml:link rel="alternate"
hreflang="en"
href="/docs/guides/architectural/"/></url><url><loc>/docs/config/config-guide/</loc><lastmod>2022-04-17T11:36:55+08:00</last
[...]
\ No newline at end of file
+<?xml version="1.0" encoding="utf-8" standalone="yes"?><urlset
xmlns="http://www.sitemaps.org/schemas/sitemap/0.9";
xmlns:xhtml="http://www.w3.org/1999/xhtml";><url><loc>/docs/guides/architectural/</loc><lastmod>2022-11-27T21:05:55+08:00</lastmod><xhtml:link
rel="alternate" hreflang="cn"
href="/cn/docs/guides/architectural/"/><xhtml:link rel="alternate"
hreflang="en"
href="/docs/guides/architectural/"/></url><url><loc>/docs/config/config-guide/</loc><lastmod>2022-04-17T11:36:55+08:00</last
[...]
\ No newline at end of file
diff --git a/sitemap.xml b/sitemap.xml
index cb0ad5ae..ab3f0371 100644
--- a/sitemap.xml
+++ b/sitemap.xml
@@ -1 +1 @@
-<?xml version="1.0" encoding="utf-8" standalone="yes"?><sitemapindex
xmlns="http://www.sitemaps.org/schemas/sitemap/0.9";><sitemap><loc>/cn/sitemap.xml</loc><lastmod>2022-11-27T21:36:10+08:00</lastmod></sitemap><sitemap><loc>/en/sitemap.xml</loc><lastmod>2022-11-27T21:05:55+08:00</lastmod></sitemap></sitemapindex>
\ No newline at end of file
+<?xml version="1.0" encoding="utf-8" standalone="yes"?><sitemapindex
xmlns="http://www.sitemaps.org/schemas/sitemap/0.9";><sitemap><loc>/en/sitemap.xml</loc><lastmod>2022-11-27T21:37:54+08:00</lastmod></sitemap><sitemap><loc>/cn/sitemap.xml</loc><lastmod>2022-11-27T21:36:10+08:00</lastmod></sitemap></sitemapindex>
\ No newline at end of file
