Update shardingsphere documents at 2025-01-01 01:26:22 CST.

blog/en/material/2022_03_25_a_deep_dive_into_observability_apache_shardingsphere_agent/index.html

@@ -211,7 +211,7 @@ <h2 id="topology-mapping">Topology Mapping</h2>
 </ul>
 <p><img src="https://dev-to-uploads.s3.amazonaws.com/uploads/articles/31f0qu5j1c5wh8vb5itw.png" alt="Image description"></p>
 <h2 id="sampling-rate">Sampling Rate</h2>
-<p>The Observability plugin also enables users to set differnt sampling rate configured to suit different scenarios. Zipkin plugins support various sampling rate type configurations including const, counting, rate limiting, and boundary.</p>
+<p>The Observability plugin also enables users to set different sampling rate configured to suit different scenarios. Zipkin plugins support various sampling rate type configurations including const, counting, rate limiting, and boundary.</p>
 <p>For scenarios with a high volume of requests, we suggest you to choose the boundary type and configure it with the appropriate sampling rate to reduce the collect volume of tracing data.</p>
 <pre><code>Zipkin:
     host: &quot;localhost&quot;

blog/en/material/2022_04_21_apache_shardingsphere_opengauss_breaking_the_distributed_database_performance_record_with_10_million_tpmc/index.html

@@ -104,7 +104,7 @@ <h2 id="building-an-opengauss-based-distributed-database-solution-with-shardings
 <p>This means it can effectively solve problems caused by increasing data volume in a single table and can be combined with business data flows to flexibly and smoothly scale out data nodes, intelligently split reads and writes, and implement automatic load balancing of distributed databases.</p>
 <h2 id="conclusion">Conclusion</h2>
 <p>Apache ShardingSphere and openGauss can seek potential cooperation opportunities.</p>
-<p>Considering the increasingly diversified applicaiton scenarios and increasing data volume, the requirements for database performance are at an all time high and will only continue to increase in the future.</p>
+<p>Considering the increasingly diversified application scenarios and increasing data volume, the requirements for database performance are at an all time high and will only continue to increase in the future.</p>
 <p>The success of our two communities cooperation is just the beginning of ourtwo communities building a collaborative database ecosystem.</p>
 <p>💡 About openGauss</p>
 <p>openGauss is an open source relational database management system. It has enterprise-grade features such as multi-core high performance, full-link security, and intelligent operation.</p>

blog/en/material/2022_05_10_whats_the_database_plus_concept_and_what_challenges_can_it_solve/index.html

@@ -168,7 +168,7 @@ <h3 id="2-heterogeneous-federated-query">2. Heterogeneous federated query</h3>
 <p>Apache ShardingSphere currently only supports federated queries between homogeneous databases. In ShardingSphere’s route planning, federated query between heterogeneous databases will also be put on the agenda. It will no longer be far away for users to query MySQL and HBase with one SQL.</p>
 <h2 id="conclusion">Conclusion</h2>
 <p>The Apache ShardingSphere community has been active in open source for 7 years. Through perseverance, the community has become mature we’d like to extend our sincere welcome to any devs or contributors who are enthusiastic about open source and coding to collaborate with us.</p>
-<p>Among our recent achievements we’re particulary proud of, Apache ShardingSphere’s pluggable architecture and data sharding philosophy have been recognized by the academic community. <a href="https://faun.pub/a-holistic-pluggable-platform-for-data-sharding-icde-2022-understanding-apache-shardingsphere-55779cfde16">The paper, Apache ShardingSphere: A Holistic and Pluggable Platform for Data Sharding, has been published at this year’s ICDE, a top conference in the database field.</a></p>
+<p>Among our recent achievements we’re particularly proud of, Apache ShardingSphere’s pluggable architecture and data sharding philosophy have been recognized by the academic community. <a href="https://faun.pub/a-holistic-pluggable-platform-for-data-sharding-icde-2022-understanding-apache-shardingsphere-55779cfde16">The paper, Apache ShardingSphere: A Holistic and Pluggable Platform for Data Sharding, has been published at this year’s ICDE, a top conference in the database field.</a></p>
 <h2 id="author">Author</h2>
 <p>Zhang Liang, the founder &amp; CEO of <a href="https://www.sphere-ex.com">SphereEx</a>, served as the head of the architecture and database team of many large well-known Internet enterprises. He is enthusiastic about open source and is the founder and PMC chair of Apache ShardingSphere, ElasticJob, and other well-known open source projects.
 He is now a member of the <a href="https://www.apache.org">Apache Software Foundation</a>, a <a href="https://mvp.microsoft.com">Microsoft MVP</a>, <a href="https://cloud.tencent.com/tvp">Tencent Cloud TVP</a>, and <a href="https://developer.huaweicloud.com/mvp">Huawei Cloud MVP</a> and has more than 10 years of experience in the field of architecture and database. He advocates for elegant code, and has made great achievements in distributed database technology and academic research. He has served as a producer and speaker at dozens of major domestic and international industry and technology summits, including ApacheCon, QCon, AWS summit, DTCC, SACC, and DTC. In addition, he has published the book “Future Architecture: From Service to Cloud Native” as well as the paper “Apache ShardingSphere: A Holistic and Pluggable Platform for Data Sharding” published at this year’s ICDE, a top conference in the database field.</p>

blog/en/material/2022_06_02_database_mesh_2.0_database_governance_in_a_cloud_native_environment/index.html

@@ -116,7 +116,7 @@ <h2 id="2-introducing-database-mesh-20">2. Introducing Database Mesh 2.0</h2>
 <blockquote>
 <p><strong>Developer experience</strong></p>
 </blockquote>
-<p>As mentioned above, business developers are mainly concerned about business logic and implementation instead of infrastructure, operation and maintenance features. Developement experience will move towards <a href="https://www.redhat.com/en/topics/cloud-native-apps/what-is-serverless">Serverless</a>, which means it will become more and more transparent and intuitive when accessing databases. Developers only need to understand the type of data storage required by their business, and then use preset or dynamic ID credential information to access corresponding database services.</p>
+<p>As mentioned above, business developers are mainly concerned about business logic and implementation instead of infrastructure, operation and maintenance features. Development experience will move towards <a href="https://www.redhat.com/en/topics/cloud-native-apps/what-is-serverless">Serverless</a>, which means it will become more and more transparent and intuitive when accessing databases. Developers only need to understand the type of data storage required by their business, and then use preset or dynamic ID credential information to access corresponding database services.</p>
 <blockquote>
 <p><strong>Programmable</strong></p>
 </blockquote>

blog/en/material/jan_28_full_link_online_stress_testing_for_production_database_apache_shardingsphere_shadow_database_feature_upgrade/index.html

@@ -142,7 +142,7 @@ <h3 id="verify-stress-testing-results-">Verify Stress Testing Results :</h3>
 <p>The data generated from test user order creation will be routed to shadow database. For more complicated configurations, please refer to Shadow Database Stress Testing in the <a href="https://shardingsphere.apache.org/document/5.0.0/cn/features/shadow/">ShardingSphere official document</a>.</p>
 <h3 id="complete-solution-for-full-link-online-stress-testing--cyborgflow">Complete Solution for Full-Link Online Stress Testing — CyborgFlow</h3>
 <p>As mentioned in the introduction, full-link online stress testing is a complicated task that requires collaboration between microservices and middlewares to meet the needs of different traffic and stress testing tag transmissions.</p>
-<p>Additonally, the testing service should be stateless and immediately available. <a href="https://github.com/SphereEx/CyborgFlow">CyborgFlow</a>, which is jointly maintained by Apache ShardingSphere, Apache APISIX and Apache SkyWalking provides out-of-the-box (OoTB) solution to run load test in your online system.</p>
+<p>Additionally, the testing service should be stateless and immediately available. <a href="https://github.com/SphereEx/CyborgFlow">CyborgFlow</a>, which is jointly maintained by Apache ShardingSphere, Apache APISIX and Apache SkyWalking provides out-of-the-box (OoTB) solution to run load test in your online system.</p>
 <p><a href="https://apisix.apache.org/">Apache APISIX</a> is responsible for making tags on testing data at the gateway layer, while <a href="https://skywalking.apache.org/">Apache SkyWalking</a> is responsible for transmission through the whole scheduling link, and finally, Apache ShardingSphere-Proxy will isolate data and route testing data to the shadow database.</p>
 <p>The 0.1.0 version of CyborgFlow has been <a href="https://github.com/SphereEx/CyborgFlow/releases">released and is available for download</a>.</p>
 <h2 id="apache-shardingsphere-open-source-project-links">Apache ShardingSphere Open Source Project Links:</h2>

blog/en/material/nov_23_1_integrate_sctl_into_ral/index.html

@@ -337,7 +337,7 @@ <h2 id="analysis">Analysis</h2>
 <pre><code>mysql&gt; set readwrite_splitting hint source=write;
 </code></pre>
 <p>Output</p>
-<p>a. If sucessful, show &ldquo;Query OK, 0 rows affected&rdquo;;
+<p>a. If successful, show &ldquo;Query OK, 0 rows affected&rdquo;;
 b. Re-execute <code>show readwrite_splitting hint status</code>; show the ource is changed into Write;
 c. Execute <code>preview select * from t_order</code>and see the queried SQL will go to the master database.</p>
 <pre><code>mysql&gt; preview select * from t_order;

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community/cn/categories/index.html

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