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RTO 由分钟级降至秒级；\n2. 符合金融级业务可用性要求；\n3. 全流程自动化 failover，无需人工介入；\n4. 预留扩展插槽，如读写分离、安全管控等能力。\n\n\n\n\n","date":"2023-08-14","author":"代野","excerpt":null,"metaDescription":null,"createdAt":"2023-10-16T06:50:07.037Z","updatedAt":"2023-10-16T06:50:36.811Z","publishedAt":"2023-10-16T06:50:08.773Z","locale":"zh","caseStudiesType":{"data":null},"cover":{"data":null},"metaLogo":{"data":null},"localizations":{"data":[]}}},{"id":34,"attributes":{"feature":true,"title":"F6 汽车科技基于 Apache ShardingSphere 的核心业务分库分表实践","content":"## 业务背景\nF6 汽车科技，是一家专注于汽车后市场信息化建设的互联网平台公司，为维修企业开发智慧管理平台。各个维修企业（后文简称商户）之间的数据是相互隔离的，不同商户之间的数据理论上可以存储在不同库不同表。随着公司业务发展迅速，有些表的数据量增长迅速，单表总的数据量达到千万甚至亿的级别，系统越来越难以满足业务的高速发展。另外随着业务发展公司也在对系统进行拆分，按照不同域不同业务拆分成许多微服务，随之也就垂直拆分成了不同的业务库。  \n \n## 业务挑战\n关系型数据库由于单机存储容量、连接数、处理能力都有限，容易成为系统瓶颈。从性能上看，当单表的数据量达到千万以后，由于查询维度较多，即使添加从库、优化索引，做很多操作时性能仍下降严重。此时就要考虑对其进行切分了，切分的目的就在于减少数据库的负担，缩短查询时间。另外单库的连接数有限，如果数据库查询的 QPS 过高，那么就需要通过分库来分担单个数据库的连接压力。从可用性上看，单个数据库如果发生意外，很可能会丢失所有数据，影响所有业务，分库可以隔离故障，减少业务的影响范围。\n \n## 总体方案\n结合公司实际情况我们选择了 ShardingSphere 实现 Sharding。按照公司现有业务逻辑，因此采用商户 ID 作为分片键（ShardingKey），保证一个商户的工单数据，分配在同一个库同一个单表中，避免了多表查询关联的性能损耗，后期分片到多个库时，可以避免跨库事务及跨库 JOIN。\n商户 ID 数据库中的类型为 BIGINT(20)，为了保证后续分库扩容的需求，采用基因法，选取商户 ID 最后两位作为分库基因，按照双倍扩容的规则，可以最大扩展到 64 个库中。剩余位数的值用于分表，分片到 32 个分表中。\n\n规则如下（10545055917999668983 为某商户 ID）：\n\n```\n105450559179996689    83\n分表基因值 % 32    分库基因值 % 1\n```\n\n最后两位 83 用于分库，暂时数据只分片到 f6xxx 一个库中，因此余数为 0，后期数据量增加，扩展至多个库。剩余数值 105450559179996689 用于分表，首次分为 32 个单表，取模余数对应具体的分表下标，为 0~31。\n\n![screenshot-20230321-153539.png](https://sphereex-media-1305704183.cos.ap-beijing.myqcloud.com/screenshot_20230321_153539_94108c0802.png)\n按照公司系统现状及开发功能能快速迭代分步上线的背景，因此我们制定了先分表再拆库的方案，考虑到分库分表改动影响比较大，因此需要灰度上线，一旦有问题需要快速回滚，不能影响正常业务。具体实施步骤如下：\n### 分表\n（1）工程从 JDBC 切到 Sharding-JDBC 数据源连接方式\n（2）写库业务解耦和代码迁移\n（3）历史数据和增量数据同步\n（4）切分表\n### 分库\n（1）读库业务迁移\n（2）数据迁移\n（3）切读库\n（4）切写库\n\n## 选择 Apache ShardingSphere 的理由\n- 社区活跃，目前已经升级至 5.0 版本，仍处于快速迭代中；\n- 成功应用案例多，京东、当当等大公司广泛应用；\n- 使用简单，Sharding-JDBC 快速集成项目，不需要部署额外服务；\n- 兼容性好，路由至单数据节点，SQL 100% 支持；\n- 性能优异，损耗低，官网有测试结果；\n\n\n","date":"2023-01-02","author":"SphereEx ","excerpt":"汽车互联网平台领域技术实践        ","metaDescription":null,"createdAt":"2023-03-21T07:36:34.241Z","updatedAt":"2024-01-03T09:57:02.591Z","publishedAt":"2023-03-21T07:36:35.817Z","locale":"zh","caseStudiesType":{"data":null},"cover":{"data":null},"metaLogo":{"data":null},"localizations":{"data":[]}}}],"en":[{"id":15,"attributes":{"feature":true,"title":"Apache ShardingSphere & Energy Monster","content":"[Energy Monster](https://ir.enmonster.com/)’s application of [ShardingSphere-JDBC](https://shardingsphere.apache.org/document/current/en/overview/#shardingsphere-jdbc)\n\n[Energy Monster](https://ir.enmonster.com/) is a consumer tech company with the mission to energize everyday life. The company is the largest provider of mobile device charging services in Asia.\n\nAs the company’s business concurrency volume is getting larger, the amount of data generated (users, orders, activities, etc.) increases each day. The traditional relational database has proven to be inadequate in supporting millions or tens of millions of data volumes in a single database or table.\n\nPerformance has been unable to meet the benchmark requirements of business development. Under these circumstances, data sharding is an effective way to solve the problem.\n\n## Technology selection\nUnder the [Database Plus](https://shardingsphere.apache.org/) concept, ShardingSphere is designed to build an ecosystem on top of heterogeneous databases. The goal is to provide globally scalable and enhanced computing capabilities while maximizing the original database computing capabilities.\n\nThe interaction between applications and databases becomes oriented towards the Database Plus standard, therefore minimizing the impact of database fragmentation on upper-layer services.\n\nWithin the ShardingSphere ecosystem, [ShardingSphere-JDBC](https://shardingsphere.apache.org/document/current/en/overview/#shardingsphere-jdbc) is positioned as a lightweight Java framework, providing additional services in Java’s JDBC layer.\n\nIt uses the client to directly connect to the database and provide services in the form of a jar package, without additional deployment and dependence. It can be understood as an enhanced version of the JDBC driver, which is fully compatible with JDBC and various ORM frameworks.\n\nShardingSphere-JDBC enables developers to focus only on the work outside the data layer by coordinating the data read and write under the data sharding, instead of using business code to manually select databases and tables.\n\n## Business case\nUCS is Energy Monster’s user-centric service providing basic functionality for users on the Server side. In 2018, it was stripped from [PHP](https://www.php.net/) Server and moved to the Java technology stack to implement microservitization.\n\nIt involves the design of new databases and tables and data cleaning and migration. The whole switchover process was expected to ensure the following functions:\n\n- Stability: smooth release in a short time without halting.\n\n- Accuracy: ensure accurate cleaning of tens of millions of data volumes.\n\n- Scalability: solve the performance problems caused by increasing data volume and ensure scalability.\n\n> Solutions to data cleansing and migration\n\n- Initial data synchronization.\n- The application’s server cuts off the entry (users).\n- Data synchronization (updates and new users since the last time point).\n- Data cleaning.\n- User center release.\n\n\n![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/2t8jnqgh5pfimhxa07id.png)\n\n\n> Data sharding strategy\n\nThe database adopts a database shards design, divided into 16 databases. The default shard key is `user_id` and the default sharding strategy `user_id` is mod 16, such as `${user_id % 16}` for the user table. For SQL that does not carry shard keys, broadcast routing is used.\n\n![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/t6nihbk4du8d9h1sd5sf.png)\n\n\n`user_id` is used as the shard key because `user_id` can cover most business scenarios, and other fields possibly can be empty. In the local test, the query of shard key strategy (openId,mobile) took 50ms to 200ms.\n\n> Using the sharding algorithm\n\nThere are currently three sharding algorithms available.\n\n- Standard sharding algorithm. It corresponds to `StandardShardingAlgorithm`, used for scenarios that use a single key as the shard key, such as =, IN, BETWEEN AND, >, <, > =, < =.\n- Complex sharding algorithm. It corresponds to `ComplexKeysShardingAlgorithm`, used for scenarios that use multi-key as the shard key. The logic with multiple shard keys is complex and requires developers to handle it by themselves.\n- Hint sharding algorithm. It corresponds to `HintShardingAlgorithm`, used for scenarios where the Hint row is used for sharding.\n\n![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/5uv7u0nrglequ83gn4ky.png)\n\n\n## Upgrading ShardingSphere-JDBC\n\nShardingSphere-JDBC is used in multiple business scenarios, such as order, inventory, and finance. By 2021, the R&D groups or teams were using different versions of ShardingSphere-JDBC, ranging from 1.X to 4.X, which is difficult to achieve unified maintenance in the later stage.\n\nAdditionally, there are some potential bugs and missing functions in the earlier version. Based on requirements for unified management and availability, we implemented a project to unify the ShardingSphere-JDBC’s versions used by the company and upgrade them to a 4.1.1 stable version in April 2021.\n\n**The following problems were encountered during the upgrade:**\n\n**1. It takes a long time to start the service after the upgrade.**\n\nShardingSphere-JDBC checks the metadata consistency of sub-tables when the service is started. The configuration item `max.connections.size.per.quer` (maximum number of connections that can be opened per query) is 1 by default. With a large number of tables, the loading process would be slow. You need to refer to the connection pool configuration to improve the loading speed.\n\n**2. There is no response when there is no shard key in the sub-table query.**\n\n![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/641dysf5zoizgr8bmjuq.png)\n\n\nLogical SQL query does not specify shard keys and it queries all the tables according to the whole database tables router in broadcasting routing.\n\nThe configuration items have 108 pieces of real tables in a database. According to the configuration of `maxConnectionsizeperquery=50`, ShardingSphere-JDBC uses the connection limit mode, divides the query requests into three groups, and merges the results with in-memory. As a result, 36 database connections are required for one query. But the `maxActive` configured by the [druid](https://druid.apache.org/) thread pool is set to 20, resulting in a deadlock.\n\n![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/ydv03pncno3wsd23y7r1.png)\n\n![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/61blt38kcoukha8aguob.png)\n\n\n![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/2c2w85mdryc53gh4ope5.png)\n\n\n![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/568lubr5zg52ropjw374.png)\n\n\n\n**Solutions:**\n\n- Combine `check.table.metadata.enabled=true`（check the metadata consistency in sub-tables when started）and properly configure - `maxConnectionSizePerQuery`（maximum number of connections that can be opened by each query).\n- `maxConnectionSizePerQuery` should be less than the maximum number of active threads configured by the druid thread pool.\n\n**3. After upgrading from 1.X, an error message “Cannot update Sharding key” is displayed in SQL execution, and the actual shard key value is not updated.**\n\nTo avoid data query failure caused by changing the shard key value, shard key detection is added to the `SQL update` in the 4.X version. The error can be rectified in the following ways:\n\n- remove the shard key when updating.\n- the shard key is added to the `where` statement synchronously.\n\n**4. A start failure is caused when using `druid-spring-boot-starter`, which is incompatible with `Sharding-datasource`.**\n\nThe druid data connection pool starter will load and create a default data source. This will cause conflicts when ShardingSphere-JDBC creates data sources.\n\n**5. `inline strategy` reports an error in range query.**\n\nThe `inline strategy` doesn't support range query by default and the `standard strategy` is advised. Add the following configuration if the `inline strategy` is needed for the range query.\n\n`spring.shardingsphere.props.allow.range.query.with.inline.sharding: true`\n\n**Note:** Here all the `inline strategy` range queries will query each sub-table in broadcasting.\n\n**6. The “Cannot find owner from table” error is reported.**\n\nSQL (simplified):\n\n`select id from` (select id from x) as a group by a.id\n\nThe 4.X version supports limited sub-queries. This problem is caused by the name of the intermediate table. Remove the table alias of `select` or `group order` or other fields.\n\n> [https://github.com/apache/shardingsphere/issues/4810](https://github.com/apache/shardingsphere/issues/4810)\n\n**7. The table’s primary key conflicts with the primary key generated by the [SNOWFLAKE](https://programming.vip/docs/overview-of-snowflake-algorithm.html) algorithm.**\n\nShardingSphere provides flexible ways to configure distributed primary key generation strategies. In the sharding rule configuration module, you can configure the primary key generation strategy for each table.\n\nBy default, the [snowflake](https://programming.vip/docs/overview-of-snowflake-algorithm.html) algorithm is used to generate long integer data of 64bit. The snowflake generator needs to be configured with:\n\n`spring.shardingsphere.sharding.tables.x.key-generator.props.worker.id = ${dcc.node.id}`\n\n![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/dbopmsazvtztkb0p2m0z.png)\n\n\n\nThe company uses the [apollo](https://www.apolloconfig.com/#/) configuration center to deliver the node id of the service instance. The service uses multi-data sources. If you use the YAML file to load sharding configuration, the `workId` cannot be automatically loaded into sharding configuration items.\n\n**Solutions:**\n\n![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/mfxy2xgsl6w0bwgi0hqv.png)\n\n\nUse the custom generator type based on the built-in `SnowflakeShardingKeyGenerator`.\n\nIf the primary key is used as a shard key, configure `max.vibration.offset` based on the data sharding value to increase the vibration range.\n\n![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/7jo25gkyz57kyttllvsd.png)\n\n\n\n**8. The 3.X version reports an error when `CASE WHEN` statement is executed.**\n\nFirst, the 3.X and 4.X versions don’t support the `case when` statement.\n\nThe 3.X and 4.X versions have different logics when parsing the shard keys of `case when`'s `update` statement. The 4.X `parserEngine.parse` method will ignore the `case when` parsing parameters, resulting in inconsistency with the external parameter list and an error when 3.X executes the normal SQL.\n\nThe 3.X version works correctly because the first parameter of `case when` is intentionally set to the shard key when the SQL is written, and the `case when` statement comes first.\n\n> [https://github.com/apache/shardingsphere/issues/13233](https://github.com/apache/shardingsphere/issues/13233)\n\n**Solutions：**\n\n- It is suggested to rewrite SQL as the `case when` is not supported.\n- According to the shard key parsing logic in version 4.1.1, `case when` is placed at the end, and the shard key remains the first parameter of `case when`.\n\n**9. The logical table `actualDataNodes` is configured and no default value error is reported for the primary key.**\n\n![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/7tpr0fitx420itauw5f8.png)\n\n\n![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/pprbsvn5n8tdrm2mezs7.png)\n\n\n\n\nThe `check.table.metadata.enabled=true` is not configured for service, and the metadata consistency of sub-tables is not checked by default.\n\nThe first table of `actualDataNodes` configured by services does not exist, resulting in an empty `GenerateKeyContenxt`.\n\n![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/a75kpppwhniaubgw3iti.png)\n\n\n![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/cw16ejpxmwvcva9bd9t4.png)\n\n\n\n\n**Solutions：**\n\n- Configure `check.table.metadata.enabled=true`. A non-existent table is detected when started and an error is reported.\n- Rewrite the `actualDataNodes inline` expression to make sure that the first table exists.\n\n**10. In version 3.0, there is a deadlock under the high concurrency of the full database and table router.**\n\nShardingSphere-JDBC uses local transactions by default. In local transactions, the database connection is obtained asynchronously. Under high concurrency, it is possible that all database connections cannot be obtained, resulting in a deadlock.\n\n\n![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/5eo47dqy991nmvu048k8.png)\n\n\n![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/hdnnfskjri9un1wj6n3h.png)\n\n\n![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/y8fpd887zvkg5oovt4hm.png)\n\n\n\n![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/pzqw4c89j1mplfmwfxz0.png)\n\n\n\n\n## Conclusion\n\nAs a [ShardingSphere](https://shardingsphere.apache.org/) core user, [Energy Monster](https://ir.enmonster.com/)’s upgrade process also reflects some problems that community users may encounter in the application of ShardingSphere.\n\nCurrently, Apache ShardingSphere’s stable version has been updated to 5.1.2 and has been optimized in terms of its functions, performance, testing, documentation, and examples.\n\nYou can refer to [Apache ShardingSphere’s official website](https://shardingsphere.apache.org/) for more information. If you have any questions or suggestions, you are also welcome to give feedback on [Github](https://github.com/apache/shardingsphere). The community will actively respond and discuss.\n\n**Project Links:**\n\n[ShardingSphere Github](https://github.com/apache/shardingsphere/issues?page=1&q=is%3Aopen+is%3Aissue+label%3A%22project%3A+OpenForce+2022%22)\n\n[ShardingSphere Twitter](https://twitter.com/ShardingSphere)\n\n[ShardingSphere Slack](https://join.slack.com/t/apacheshardingsphere/shared_invite/zt-sbdde7ie-SjDqo9~I4rYcR18bq0SYTg)\n\n[Contributor Guide](https://shardingsphere.apache.org/community/cn/contribute/)\n\n[GitHub Issues\n](https://github.com/apache/shardingsphere/issues)\n[Contributor Guide](https://shardingsphere.apache.org/community/en/contribute/)","date":"2022-09-06","author":"SphereEx","excerpt":"NASDAQ-listed Energy Monster is the largest provider of mobile device charging services in Asia. This article illustrates how Energy Monster uses ShardingSphere-JDBC.","metaDescription":"Energy Monster is a power bank rental company, allowing its users to rent power banks by scanning QR codes. It is designed to help people to live their life without interruptions. Energy Monster reportedly covers 100 cities and 100K merchants. ","createdAt":"2022-09-26T06:27:13.410Z","updatedAt":"2022-09-28T02:42:03.843Z","publishedAt":"2022-09-27T06:55:09.446Z","locale":"en","caseStudiesType":{"data":{"id":9,"attributes":{"name":"Internet","createdAt":"2022-09-26T10:34:03.086Z","updatedAt":"2022-09-27T06:59:34.838Z","publishedAt":"2022-09-27T06:59:34.836Z","locale":"en"}}},"cover":{"data":{"id":334,"attributes":{"name":"energy monster.png","alternativeText":"energy monster.png","caption":"energy monster.png","width":1093,"height":489,"formats":{"thumbnail":{"name":"thumbnail_energy monster.png","hash":"thumbnail_energy_monster_2f744c0ab8","ext":".png","mime":"image/png","width":245,"height":110,"size":18,"path":null,"url":"https://official-media.sphere-ex.com/thumbnail_energy_monster_2f744c0ab8.png"},"large":{"name":"large_energy monster.png","hash":"large_energy_monster_2f744c0ab8","ext":".png","mime":"image/png","width":1000,"height":447,"size":191.25,"path":null,"url":"https://official-media.sphere-ex.com/large_energy_monster_2f744c0ab8.png"},"medium":{"name":"medium_energy monster.png","hash":"medium_energy_monster_2f744c0ab8","ext":".png","mime":"image/png","width":750,"height":336,"size":115.92,"path":null,"url":"https://official-media.sphere-ex.com/medium_energy_monster_2f744c0ab8.png"},"small":{"name":"small_energy monster.png","hash":"small_energy_monster_2f744c0ab8","ext":".png","mime":"image/png","width":500,"height":224,"size":58.44,"path":null,"url":"https://official-media.sphere-ex.com/small_energy_monster_2f744c0ab8.png"}},"hash":"energy_monster_2f744c0ab8","ext":".png","mime":"image/png","size":182.88,"url":"https://official-media.sphere-ex.com/energy_monster_2f744c0ab8.png","previewUrl":null,"provider":"strapi-provider-upload-s3-compat","provider_metadata":null,"createdAt":"2022-09-26T06:34:45.604Z","updatedAt":"2022-09-26T06:34:45.604Z"}}},"metaLogo":{"data":{"id":349,"attributes":{"name":"Energy monster logo.png","alternativeText":"Energy monster logo.png","caption":"Energy monster logo.png","width":373,"height":298,"formats":{"thumbnail":{"name":"thumbnail_Energy monster logo.png","hash":"thumbnail_Energy_monster_logo_102b9745bc","ext":".png","mime":"image/png","width":195,"height":156,"size":8.8,"path":null,"url":"https://official-media.sphere-ex.com/thumbnail_Energy_monster_logo_102b9745bc.png"}},"hash":"Energy_monster_logo_102b9745bc","ext":".png","mime":"image/png","size":17.3,"url":"https://official-media.sphere-ex.com/Energy_monster_logo_102b9745bc.png","previewUrl":null,"provider":"strapi-provider-upload-s3-compat","provider_metadata":null,"createdAt":"2022-09-26T08:19:26.166Z","updatedAt":"2022-09-26T08:19:26.166Z"}}},"localizations":{"data":[]}}},{"id":16,"attributes":{"feature":false,"title":"Apache ShardingSphere & China Unicom Digital Technology: Ensuring Stability, Efficiency, and Replicability at Scale","content":"China Unicom Digital Tech is the subsidiary of [China Unicom](https://www.chinaunicom.com.hk/en/global/home.php), a global leading telecommunication operator with over 310 million subscribers as of 2021.\n\nThe company integrates with China Unicom’s capabilities such as cloud computing, Big Data, IoT, AI, blockchain, and security and touches on smart city, industrial internet, ecological protection, cultural tourism, and other fields.\n\nUnicom Digital Tech has accumulated a large number of industry benchmark cases and successfully provided customers with diverse and professional products & services.\n\n## Background\nIn recent years, dozens of service hotline platforms have been launched with the help of Unicom Digital Tech, in a bid to improve enterprise and government services.\n\nThe service hotlines are characterized by high concurrency and large amounts of data. Every time we dial a hotline, a work order record is generated. The business volumes of a hotline during the epidemic have increased several times compared to the past.\n\nIn the work order module of the government or emergency services hotlines, to meet the business needs of massive amounts of data and high stability, Unicom Digital Tech adopts [ShardingSphere](https://shardingsphere.apache.org/) to carry out sharding and store work order information.\n\n## Business challenges\nGovernment service hotlines are the main channel through which the government interacts with enterprises and the public. It provides 24/7 services for the public through a single telephone number.\n\nIn addition to dealing with work orders, it also involves services such as telephone traffic, Wiki, voice chat, etc.\n\nIn the system planning stage, the database layer is the cornerstone of the business system, so the technology selection process is crucial. System stability is a hard indicator, followed by performance, which directly affects the hotline’s service capability.\n\nAt the same time, it should allow for easy maintenance and management, and facilitate system upgrades and backend maintenance.\n\nThe hotline service raises the following requirements for database architecture selection:\n\n- Maturity and stability\n- High performance\n- Easy maintenance\n- Low coupling of business code\n\n## Why did Unicom Digital Technology choose ShardingSphere?\nThe technical team conducted several rounds of research and tests in terms of stability, features, access mode, and product performance, and they finally choose the “ShardingSphere + [MySQL](https://www.mysql.com/)” distributed database solution.\n\n- **Advanced concept**\n\nAn increasing number of application scenarios have exacerbated database fragmentation. [Database Plus](https://faun.pub/whats-the-database-plus-concepand-what-challenges-can-it-solve-715920ba65aa) is designed to build an ecosystem on top of fragmented heterogeneous databases and provide enhancements capability for the database.\n\nAdditionally, it can prevent database binding, achieve independent control, add more features to the original database, and improve the overall feature ceiling of the data infrastructure.\n\n- **Maturity and stability**\n\nThe ShardingSphere project started in 2016. Following years of R&D and iterations, the project has been polished and has proven its stability, maturity, and reliability in multiple Internet scenarios.\n\n- **Comprehensive features**\n\nIn addition to sharding capability, ShardingSphere is also capable of data encryption & decryption and shadow DB, which were also among the evaluation indicators of the technical team.\n\nThe scenario requirements of security and stress testing can be met by a set of technology stacks. ShardingSphere’s capabilities provide improved support for the construction and architecture expansion of the hotline system.\n\n- **High compatibility / easy access**\n\nShardingSphere is compatible with the MySQL protocol and supports multiple syntaxes. In the development process, there is almost no need to worry about access to SQL as it is really convenient.\n\n- **High performance**\n\nWhen the hotline is busy, thousands of on-duty operators are online. The work order record includes tens of millions of records, which create a certain demand for performance.\n\nShardingSphere-JDBC is positioned as a lightweight Java framework with ideal stress test results and data, which can meet the requirements of government system service capabilities.\n\n- **Simplified operation & maintenance**\n\nOn the basis of JDBC’s high performance, ShardingSphere also provides a Proxy friendly to ops teams, which can be directly accessed using common clients.\n\nIn addition to the trade-offs of the above five key considerations, other database middleware products were also taken into consideration. The following table indicates the comparison between ShardingSphere and [MyCat](http://mycat.sourceforge.net/).\n![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/mc2d1n3csc1bf9vu26ab.png)\n \n\n## Solutions\nAs “ShardingSphere+MySQL” ensures stability, ease of use, and ultimate performance, this configuration has been replicated and used in many government and enterprise service hotline projects of Unicom Digital Tech.\n\n- **Deployment mode**\nThe combination of [ShardingSphere-JDBC](https://shardingsphere.apache.org/document/current/en/overview/#shardingsphere-jdbc) and [ShardingSphere-Proxy](https://shardingsphere.apache.org/document/current/en/quick-start/shardingsphere-proxy-quick-start/) ensures both system performance and maintainability.\n\n- **Sharding key / sharding algorithm**\nThe work order table of the hotline service is relatively large, and the logic is simple to use. Therefore, the work order ID is selected as the sharding key, and the data is distributed through the hash algorithm.\n\n- **Migration**\nThe new project does not involve historical data, so there is no need to consider the data migration process, and it can be directly used when it goes live.\n\n- **Implementation process**\nOwing to the comprehensive evaluation of the technical scheme and multiple copies of the scheme, the implementation process is smooth.\n\n- **System architecture**\nThe hotline service module adopts the micro-service architecture\n\nThe business module of the hotline service adopts the micro-service architecture, with nodes ranging from ten to dozens, depending on the scale of specific provinces and cities. At the database layer, physical machines are used to deploy three-node MHA. Each hotline system requires four sets of MHA in general.\n![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/v8k9lv1l3pjxme0e7sxs.png)\n \n\n## Advantages\n\n> Business\n\n-  the client mode. It ensures the government hotline’s requirements on performance to the greatest degree.\n- System stability provides strong support for business continuity.\n\n> R&D\n\n- Excellent compatibility. It is compatible with mainstream database SQL syntax and can be used after docking.\n- Comprehensive features. It supports read/write splitting, data encryption, and full-link stress testing, with strong system scalability.\n\n> OPS\n\n- It supports the proxy mode and provides easy maintenance for Ops teams.\n\n> Technology selection\n\n- It prevents database binding and provides enough flexibility for future upgrades.\n\n## Conclusion\nThe hotline service cases of China Unicom Digital Tech verified ShardingSphere’s capability to support government service scenarios and further proved that ShardingSphere can be used in any industry.\n\n## Project Links:\n[ShardingSphere Github](https://github.com/apache/shardingsphere/issues?page=1&q=is%3Aopen+is%3Aissue+label%3A%22project%3A+OpenForce+2022%22)\n\n[ShardingSphere Twitter](https://github.com/apache/shardingsphere/issues?page=1&q=is%3Aopen+is%3Aissue+label%3A%22project%3A+OpenForce+2022%22)\n\n[ShardingSphere Slack](https://join.slack.com/t/apacheshardingsphere/shared_invite/zt-sbdde7ie-SjDqo9~I4rYcR18bq0SYTg)\n\n[Contributor Guide](https://shardingsphere.apache.org/community/cn/contribute/)","date":"2022-07-20","author":"SphereEx","excerpt":"China Unicom Digital Technology, a global telco operator with 310 million subscribers, chose ShardingSphere to manage its gov and enterprise hotlines data infrastructure.","metaDescription":"China Unicom is a company that provides broadband communications and information services. It has subsidiaries in 31 provinces (autonomous regions and municipalities) across China and many countries and regions around the world.","createdAt":"2022-09-26T06:38:43.311Z","updatedAt":"2022-09-27T06:55:16.269Z","publishedAt":"2022-09-27T06:55:16.266Z","locale":"en","caseStudiesType":{"data":{"id":7,"attributes":{"name":"Telecom","createdAt":"2022-09-26T10:29:57.244Z","updatedAt":"2022-09-27T06:59:48.158Z","publishedAt":"2022-09-27T06:59:48.156Z","locale":"en"}}},"cover":{"data":{"id":335,"attributes":{"name":"China unicom.png","alternativeText":"China unicom.png","caption":"China unicom.png","width":722,"height":615,"formats":{"thumbnail":{"name":"thumbnail_China unicom.png","hash":"thumbnail_China_unicom_483a43110d","ext":".png","mime":"image/png","width":183,"height":156,"size":11.99,"path":null,"url":"https://official-media.sphere-ex.com/thumbnail_China_unicom_483a43110d.png"},"small":{"name":"small_China unicom.png","hash":"small_China_unicom_483a43110d","ext":".png","mime":"image/png","width":500,"height":426,"size":46.22,"path":null,"url":"https://official-media.sphere-ex.com/small_China_unicom_483a43110d.png"}},"hash":"China_unicom_483a43110d","ext":".png","mime":"image/png","size":61.21,"url":"https://official-media.sphere-ex.com/China_unicom_483a43110d.png","previewUrl":null,"provider":"strapi-provider-upload-s3-compat","provider_metadata":null,"createdAt":"2022-09-26T06:39:16.946Z","updatedAt":"2022-09-26T06:39:16.946Z"}}},"metaLogo":{"data":{"id":350,"attributes":{"name":"China unicom logo.png","alternativeText":"China unicom logo.png","caption":"China unicom logo.png","width":750,"height":571,"formats":{"thumbnail":{"name":"thumbnail_China unicom logo.png","hash":"thumbnail_China_unicom_logo_2aba6471b9","ext":".png","mime":"image/png","width":205,"height":156,"size":13.18,"path":null,"url":"https://official-media.sphere-ex.com/thumbnail_China_unicom_logo_2aba6471b9.png"},"small":{"name":"small_China unicom logo.png","hash":"small_China_unicom_logo_2aba6471b9","ext":".png","mime":"image/png","width":500,"height":381,"size":31.14,"path":null,"url":"https://official-media.sphere-ex.com/small_China_unicom_logo_2aba6471b9.png"}},"hash":"China_unicom_logo_2aba6471b9","ext":".png","mime":"image/png","size":15.23,"url":"https://official-media.sphere-ex.com/China_unicom_logo_2aba6471b9.png","previewUrl":null,"provider":"strapi-provider-upload-s3-compat","provider_metadata":null,"createdAt":"2022-09-26T08:28:31.851Z","updatedAt":"2022-09-26T08:28:31.851Z"}}},"localizations":{"data":[]}}},{"id":17,"attributes":{"feature":false,"title":"Heterogeneous migration: reducing Dangdang’s customer system RTO 60x and increasing speed by 20%","content":"> [Apache ShardingSphere](https://shardingsphere.apache.org/) helps [Dangdang](https://www.crunchbase.com/organization/dangdang-com) rebuild its customer system with 350 million users, and seamlessly transition from a [PHP](https://www.php.net/)+[SQL Server](https://www.microsoft.com/en-us/sql-server/sql-server-downloads) technology stack to a Java+ShardingSphere+[MySQL](https://www.mysql.com/) stack. The performance, availability, and maintainability of its customer system have been significantly improved, which is the best practice of ShardingSphere’s heterogeneous migration.\n\n## Dangdang’s customer system\nDangdang’s customer system is mainly responsible for account registration, login, and privacy data maintenance. Its previous technology stack was based on PHP and SQL Server, which means a standard centralized architecture, as shown in the figure below.\n![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/lorqkp14im9bxbco4yuw.png)\n \n\nBefore the rebuild project started, several business modules of the customer system had encountered multiple problems and technical challenges, such as logical decentralization, low throughput, and high operation & maintenance costs.\n\nTo improve customers’ shopping experience, Dangdang’s technical team decided to optimize the business logic and underlying data architecture to achieve the availability, scalability, and comprehensive improvement of the customer system in multiple scenarios. The rebuild also introduced many technological innovations such as cross-data source double write, read/write splitting, intelligent gateway, and gray release.\n\nDangdang’s technical team completed the system rebuild within half a year, from demand design, sharding planning, logic optimization, and stress testing to its official launch.\n\nThe project used Java to reconstruct more than ten modules, build distributed database solutions through ShardingSphere & MySQL, and finally complete the online migration of heterogeneous databases. The project boasts the following highlights:\n\n- Reconstruct PHP business code using Java language.\n- Replace SQL Server with ShardingSphere & MySQL.\n- Complete online data migration of 350 million users.\n- Complete a seamless launch through the data double-write scheme.\n\n## Pain points & challenges\n\n**Business pain points**\nAt the business level, the registration and login logic of some modules of the customer system was scattered at different ends. This resulted in high maintenance costs, and the old technical architecture was limited in terms of performance improvement and high availability.\n\n- **Maintenance difficulty:** the registration and login logic of multiple platforms is scattered, so business maintenance is complicated.\n- **Limited performance:** the PHP & SQL Server, a centralized technical architecture, had insufficient throughput.\n- **Poor availability and security:** If the active/standby status of SQL Server changes, the subscription database becomes invalid and the reconfiguration takes a window of time. The security of SQL Server running on Windows Server is poor due to viruses, and the upgrading takes a long time (>30min) after the patch is installed.\n\n**Challenges**\n\n- **Data integrity:** the customer system involves data of more than 350 million users. It is necessary to ensure data consistency and integrity after migrating from SQL Server to MySQL.\n- **API transparency:** the API is transparent to the caller to ensure that the caller does not change and to minimize the change of interface.\n- **Seamless switch:** the business system must be seamlessly switched over without impact on business.\n- **Time is short:** the system will be blocked before and after “[618 (aka JD.com Day)](https://edition.cnn.com/2020/06/18/tech/jd-618-china-coronavirus-intl-hnk/index.html) and [11.11 (aka Singles Day)](https://en.wikipedia.org/wiki/Singles%27_Day)” (two online shopping festivals in China), so we need to switch it between the two shopping promotions in a limited window of time, and then undergo the tests to prepare for the 11.11 shopping festival.\n\n## Solutions\n**Overall planning**\nTo improve the maintainability, availability, and performance of the customer system, the R&D team reorganized the customer system architecture.\n\nAt the application layer, the goal was to unify the function logic of all terminals and improve business maintainability.\n\nAt the database layer, the centralized architecture was transformed into a distributed database architecture to improve performance and availability, which is exactly the open-source distributed solution built by ShardingSphere & MySQL.\n\n- **Application layer:** As Dangdang’s overall technology stack changed, its business development language changed from PHP to Java.\n- **Middleware:** As a mature open-source database middleware, ShardingSphere, was used to achieve data sharding.\n- **Database:** Multiple MySQL clusters were used to replace SQL Server databases.\n![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/bhrntsoik9fb41raqqbe.png)\n \nThe overall architecture design introduced multiple schemes, such as distributed primary-key generation strategy, shard management, data migration verification, and gray release.\n\n## Distributed primary-key generation strategy\n\nDistributed primary-key generation strategy is the first problem to be solved if database architecture is to be transformed from a centralized architecture to a distributed one based on middleware.\n\nDuring the system rebuild, we chose to build two or more database ID-generating servers. Each server had a `Sequence` table that records the current `ID` of each table. The step size of `ID` that increases in the `Sequence` table is the number of servers. The starting values are staggered so that the ID generation is hashed to each server node.\n\n## Implementing sharding (Apache ShardingSphere）\nDuring the customer system rebuild, database sharding was completed through Apache ShardingSphere, and the read/write splitting function was also enabled.\n\nDue to the requirements of the customer system for high concurrency and low latency, the access end chose [ShardingSphere-JDBC](https://shardingsphere.apache.org/document/current/en/overview/#shardingsphere-jdbc), which is positioned as a lightweight Java framework and provides additional services in Java’s JDBC layer.\n\nIt connects directly to the database via the client and provides services in the form of a `jar` package without additional deployment and dependence. It can be viewed as an enhanced version of the JDBC driver, fully compatible with JDBC and various [ORM](https://www.techopedia.com/definition/24200/object-relational-mapping--orm) frameworks.\n![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/6yyoi7xsp7qpayu1it5v.png)\n \n\n**Sharding:** ShardingSphere supports a complete set of sharding algorithms, including `modulo` operation, `hash`, `range`, `time`, and customized algorithms. Customers use the `modulo` sharding algorithm to split large tables.\n**Read-write splitting:** in addition to Sharding, ShardingSphere’s read/write splitting function is also enabled to make full use of [MHA](https://myheroacademia.fandom.com/wiki/Cluster) cluster resources and improve system throughput capacity.\n![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/chx6mgi5yfr2tqv86ho3.png)\n \n\n## Double-write & data synchronization\nData synchronization runs through the whole rebuild project, and the integrity and consistency of data migration are vital to the rebuild.\n\nThis example periodically synchronizes SQL Server’s historical data to MySQL based on Elastic-Job synchronization. During the database switchover, a backup scheme is used to double-write the database to ensure data consistency. The process consists of:\n\n**Step 1:** implement the double-write mechanism\n\nDisconnect link 1, get through links 2, 3, 4, and then 9, 10.\n\n**Step 2:** switch the login service\n\nDisconnect links 9,10, get through link 7 and disconnect link 5.\n\n**Step 3:** switch read service\n\nGet through link 8 and disconnect link 6.\n\n**Step 4:** cancel the double-write mechanism\n\nDisconnect link 2 and complete the switchover.\n![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/c2f4q20g116681261m9m.png)\n \n\nData verification is performed periodically on both the service side and the database side. Different frequencies are used in different time periods to sample or fully check data integrity. `COUNT/SUM` is also verified on the database side.\n\nCustomer system reconstruction adopts an apollo-based gray release. In the process of new login processing, configuration items are gradually released and sequential cutover within a small range is implemented to ensure the launch success rate. The rebuilt system architecture is shown in the following figure.\n![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/iru06ju7apswukev0wxc.png)\n \n\n## Advantages\nAfter the rebuild, the response speed of Dangdang’s customer system is significantly improved, and the daily operation & maintenance costs are also reduced.\n\nThe distributed solution provided by ShardingSphere plays a big part in this. The solution is suitable for various high-traffic Internet platform services, as well as e-commerce platforms and other data-processing systems.\n\n- **Performance improvement:** response speed increased by more than 20%.\n- **High availability:** RTO is reduced to less than 30s owing to the ShardingSphere & MySQL design.\n- **Easy to maintain:** business logic and database maintainability are significantly improved.\n- **Seamless migration:** complete online cutover of each module within 6 months, and window time is zero.\n\n## Conclusion\nThis is ShardingSphere’s second implementation by Dangdang, following the previous one we shared in the post “[Asia’s E-Commerce Giant Dangdang Increases Order Processing Speed by 30% — Saves Over Ten Million in Technology Budget with Apache ShardingSphere](https://shardingsphere.medium.com/asias-e-commerce-giant-dangdang-increases-order-processing-speed-by-30-saves-over-ten-million-113a976e0165)”.\n\nApache ShardingSphere provides strong support for enterprise systems, as the project strives for simplicity and perfection, to achieve simpler business logic and maximum performance.\n\n**Apache ShardingSphere Project Links:**\n\n[ShardingSphere Github](https://github.com/apache/shardingsphere/issues?page=1&q=is%3Aopen+is%3Aissue+label%3A%22project%3A+OpenForce+2022%22)\n\n[ShardingSphere Twitter](https://twitter.com/ShardingSphere)\n\n[ShardingSphere Slack](https://join.slack.com/t/apacheshardingsphere/shared_invite/zt-sbdde7ie-SjDqo9~I4rYcR18bq0SYTg)\n\n[Contributor Guide](https://shardingsphere.apache.org/community/cn/contribute/)","date":"2022-06-21","author":"SphereEx","excerpt":"E-commerce giant DangDang rebuilt its architecture & migrated 350M users with ShardingSphere & MySQL. 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导语\n随着数字化在全球席卷开来，颠覆与创新接踵而至，数字化浪潮已来，正在革新我们的生产、生活。一方面企业数字化进程中也遇到了这样那样的问题：大量数据的产生，如何储存？海量数据下的高并发如何解决？多个系统，多个数据库如何实现统一的数据访问？单机数据库如何在不更换原有数据库前提下，实现分布式？随着微服务数量逐渐增加，面对海量告警，如何构建可闭环的监控系统？如何在降本增效的大环境下，提升缓存稳定性和资源利用率？另外一方面随着云原生技术的蓬勃发展，各类技术和各种行业都在向其积极靠拢，企业在云原生技术落地的过程中，是如何解决与自身情况匹配以及实现跨越式发展问题的？在多云架构和云原生架构的落地中，如何面对数据库碎片化的治理的挑战 ... ...\n\nApache ShardingSphere Meetup 上海站即将在即将在 1月 5 日举办，本次活动由 SphereEx 与喜马拉雅联合出品，喜马拉雅 CTO 姜杰和 SphereEx CEO 张亮 作为特邀嘉宾，由喜马拉雅和 ShardingSphere 社区核心业务专家为开发者们带来从云原生数据应用，架构改革探索中的宝贵经验分享。\n\n## 活动时间\n2023年1月5日 14:00-17:30\n\n## 活动地点\n上海市浦东新区丹桂路 799 号 3 号楼 201\n\n## 活动议程\n\n\n![上海站 meetup-07.png](https://sphereex-media-1305704183.cos.ap-beijing.myqcloud.com/meetup_07_b836de4f32.png)\n\n\n\n## 关于主办方\n### 关于 Apache ShardingSphere\nApache ShardingSphere 是一款分布式的数据库生态系统，可以将任意数据库转换为分布式数据库，并通过数据分片、弹性伸缩、加密等能力对原有数据库进行增强。\n\n### 关于SphereEx\nSphereEx 是由 Apache 顶级项目Apache ShardingSphere 核心团队创立，旨在为企业提供新一代数据库增强计算平台。产品核心思想是基于可插拔理念，通过模块化构建数字化能力。定位是帮助企业在数据库之上实现数据分片、数据安全、流量治理、弹性伸缩等增强能力，为全行业提供轻量级分布式数据库、应用级数据安全及自主创新改造类产品及解决方案，增强企业在数据基础设施的上层服务能力，推动业务快速且平稳发展。由于在技术完备性、稳定性以及生态完善度方面均处于行业领先地位，SphereEx 的产品目前已经在金融、电商、物流、智能制造、政企等多个行业企业的生产环境中使用，成为诸多公司的数据计算架构核心组件，获得了企业用户的认可。\n\n### 关于喜马拉雅\n上海喜马拉雅科技有限公司成立于2012年，是深受用户喜爱的在线音频分享平台，致力于用声音分享人类智慧，用声音服务美好生活，提供一家人一辈子的精神食粮。如今，喜马拉雅已经建立了从头部IP到长尾内容全面覆盖的健康、均衡、有活力的生态内容体系，在线音频服务已经涵盖了用户从-1岁到100岁不同年龄阶段所需要的丰富内容，累积了包含101个品类的3.4亿条音频内容。\n\n喜马拉雅推动了以音频为特色的“耳朵经济”，2021年内容创作者数量超1351万。秉承“万物有声”的理念，喜马拉雅用声音连接和服务了数亿用户，推出国内首个全内容智能AI音箱小雅等，开启语音交互的新传播时代。同时，喜马拉雅加强智能生态的建设，完善在汽车、智能家居、智能音箱、智能穿戴等硬件终端的布局，让声音和知识像水和电一样无处不在，随取随用。2021年全年，喜马拉雅全场景平均月活跃用户已达2.68亿。\n\n\n","date":"2022-12-23","author":"SphereEx ","excerpt":"ShardingSphere Meetup 上海站 | SphereEx 联合喜马拉雅共话云原生数据技术应用创新实践","createdAt":"2022-12-09T07:19:47.009Z","updatedAt":"2023-01-04T11:53:15.768Z","publishedAt":"2022-12-09T07:19:48.736Z","locale":"zh","location":"上海市浦东新区丹桂路 799 号 3 号楼 201","startDate":"2023-01-05","endDate":"2023-01-05","eventsType":{"data":null},"cover":{"data":{"id":459,"attributes":{"name":"上海站 meetup-01.png","alternativeText":"上海站 meetup-01.png","caption":"上海站 meetup-01.png","width":1600,"height":901,"formats":{"thumbnail":{"name":"thumbnail_上海站 meetup-01.png","hash":"thumbnail_meetup_01_7f8d1e6f6e","ext":".png","mime":"image/png","width":245,"height":138,"size":29.77,"path":null,"url":"https://sphereex-media-1305704183.cos.ap-beijing.myqcloud.com/thumbnail_meetup_01_7f8d1e6f6e.png"},"large":{"name":"large_上海站 meetup-01.png","hash":"large_meetup_01_7f8d1e6f6e","ext":".png","mime":"image/png","width":1000,"height":563,"size":170.04,"path":null,"url":"https://sphereex-media-1305704183.cos.ap-beijing.myqcloud.com/large_meetup_01_7f8d1e6f6e.png"},"medium":{"name":"medium_上海站 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InfoQ 主办的 ArchSummit 全球架构师峰会（北京站）2022 在北京·富力万丽酒店召开。\n\nSphereEx CEO 张亮受邀出席会议，聚焦于云数据库的架构设计和技术演进、云原生实践、架构能力等时下最受关注的技术方向落地实践，围绕《可插拔架构下的数据增强计算引擎实现》进行了主题分享，解读 ShardingSphere 在 Database Plus 和 Database Mesh 双向指导下的机会与能力。\n\n![张亮.jpeg](https://official-media.sphere-ex.com/_bea09a5fe9.jpeg)\n\n## Database Plus 是未来数据库的设计哲学\n\n现场，张亮全面阐述了 ShardingSphere 及其核心理念 Database Plus。通过在碎片化的同构或异构数据库之上搭建使用和交互的标准层和生态层，并叠加扩展更多计算能力，例如数据分片、数据加解密等，使得所有应用和数据库之间的交互面向 Database Plus 构建的标准层，从而屏蔽数据库碎片化对上层业务带来的差异化影响，降低企业应用和管理数据库的门槛与成本，进而达到以分布式数据库系统的设计理念，使传统关系型数据库拥有适应于当下的新能力的目的。\n\n通过践行 Database Plus 理念，Apache ShardingSphere 已实现在数据库上层构建一套全新的数据治理生态，以微内核&可插拔的内核架构形式为企业及开发者用户提供更多灵活的解决方案。\n\n## Database Plus 为 ShardingSphere 赋予了极致性能\n\nShardingSphere 作为一款为底层数据库提供增量服务的平台，与底层数据库对接后双方的『适配』情况也关系到在真实生产环境中的性能。Database Plus 理念中的可插拔特性，使得 ShardingSphere 具备了面向多种底层数据库的强大兼容能力。\n\n此前在 ShardingSphere 与 openGauss 的合作中，双方使用 16 台服务器在超过 1 小时的测试中，得到了超过 1000 万 tpmC 的结果，在极大提升数据库性能极限的同时，ShardingSphere 更是满足了 openGauss 在海量数据场景下关于可用性以及运维成本等多方面的诉求。\n\n## ShardingSphere 的能力优势\n\n针对不同的用户需求 ShardingSphere 能够在多元化的应用场景下实现完美适配。张亮认为，ShardingSphere 能够复用数据库的存储和原生计算能力，并在其基础之上提供全局化的能力增强，主要体现在分布式、数据控制、流量控制三个方面。\n\n作为全球顶级的开源项目，Apache ShardingSphere 在开源领域已经相当成熟，社区已经呈现出开放和多元化的态势。\n\n在商业化层面，SphereEx 基于对数据库产业发展的研判，在 ShardingSphere 的基础上陆续推出了 SphereEx-Entsuite、SphereEx-Cloud、Pisanix 等多款商业化及开源产品。通过主动跟进数据库产业发展以及用户使用趋势，未来 SphereEx 将努力协同产业上下游合作伙伴、企业客户以及个人开发者打造多方共赢的局面，共同推动数据库产业的繁荣发展。","date":"2022-08-18","author":"SphereEx","excerpt":"数据高速发展时代的架构最优解，是数据库平台+碎片化数据库","createdAt":"2022-08-18T10:24:04.520Z","updatedAt":"2022-08-18T10:24:05.939Z","publishedAt":"2022-08-18T10:24:05.935Z","locale":"zh","location":null,"startDate":null,"endDate":null,"eventsType":{"data":null},"cover":{"data":{"id":331,"attributes":{"name":"ArchSummit.png","alternativeText":"ArchSummit.png","caption":"ArchSummit.png","width":900,"height":383,"formats":{"thumbnail":{"name":"thumbnail_ArchSummit.png","hash":"thumbnail_Arch_Summit_0648e32086","ext":".png","mime":"image/png","width":245,"height":104,"size":35.02,"path":null,"url":"https://official-media.sphere-ex.com/thumbnail_Arch_Summit_0648e32086.png"},"medium":{"name":"medium_ArchSummit.png","hash":"medium_Arch_Summit_0648e32086","ext":".png","mime":"image/png","width":750,"height":319,"size":244.81,"path":null,"url":"https://official-media.sphere-ex.com/medium_Arch_Summit_0648e32086.png"},"small":{"name":"small_ArchSummit.png","hash":"small_Arch_Summit_0648e32086","ext":".png","mime":"image/png","width":500,"height":213,"size":121.81,"path":null,"url":"https://official-media.sphere-ex.com/small_Arch_Summit_0648e32086.png"}},"hash":"Arch_Summit_0648e32086","ext":".png","mime":"image/png","size":210.48,"url":"https://official-media.sphere-ex.com/Arch_Summit_0648e32086.png","previewUrl":null,"provider":"strapi-provider-upload-s3-compat","provider_metadata":null,"createdAt":"2022-08-18T10:07:12.407Z","updatedAt":"2022-08-18T10:07:12.407Z"}}},"localizations":{"data":[]}}},{"id":26,"attributes":{"feature":true,"title":"SphereEx 出席 openGauss Developer Day 2022，详解国产关系型数据库性能升级法则","content":"\n>2022 年 7 月 14 至 15 日，openGauss Developer Day 2022 大会在北京昆泰嘉瑞文化中心以“线上直播+现场论坛”的方式举办。本次大会是由 openGauss 开源社区主办，以『创未来 享非凡』为主题，汇聚来自行业内的专家学者、行业用户、合作伙伴以及个人开发者，共同探讨数据库面向多场景下的基于 openGauss 的行业联合创新成果以及商业实践。\n\n作为此次大会的协办单位，同时也是 openGauss 社区的深度合作伙伴，SphereEx 受邀出席此次大会。SphereEx CEO 张亮以及 SphereEx 研发工程师吴伟杰现场分享了 ShardingSphere 与 openGauss 之间的合作与规划。\n\n![1.JPG](https://official-media.sphere-ex.com/1_d49f91582b.JPG)\n\n\n## openGauss 对接 ShardingSphere，凸显生态价值\n\n\n现场，SphereEx CEO 张亮在大会主论坛上发表了【ShardingSphere X openGauss 的分布式性能实战】主题演讲，全面概述了 Apache ShardingSphere 与 openGauss 之间的合作实践及未来规划。\n\n![BC8I3653.JPG](https://official-media.sphere-ex.com/BC_8_I3653_1844db36e6.JPG)\n\n会上，张亮提到：当前数据库行业碎片化趋势明显，传统数据库管理、应用挑战更加严峻，架构选型困难、技术挑战众多、运维复杂度高、数据库间缺乏协作能力等问题和痛点，都在推动着数据库上层生态的标准转型。因此未来看数据产业一定会朝向数据应用场景多元化、数据库架构多元化、数据库协议多样化、数据服务平台化等趋势发展。\n\nShardingSphere 作为一款位于数据库上层的天然生态，在 Database Plus 理念的指导下，采用可插拔架框架，为 openGauss 带来最大限度的复用数据库原生存算的能力，提供基于数据库之上的全局扩展、叠加计算等方面的能力。\n\n![1.png](https://official-media.sphere-ex.com/1_d86ffb4809.png)\n\n正是由于 ShardingSphere 本身面向底层数据库提供增强型数据能力的定位，通过与底层数据库的结合，才能最大化激发出单机数据库在性能方面的瓶颈。现场，SphereEx 研发工程师吴伟杰演示了『如何使用 ShardingSphere 结合 openGauss，突破单机数据库性能极限』。\n\n![1.jpeg](https://official-media.sphere-ex.com/1_f25ddf7b77.jpeg)\n\n在此次合作的基础上，ShardingSphere 也对 openGauss 在弹性伸缩、特性方言、批量协议等方面进行了深度适配。未来 ShardingSphere 与 openGauss 双方将会向着更大规模、更高性能、更高易用性的内核增强等方面展开深度合作，持续推动国产数据库在性能、生态方面的建设与发展。\n\n\n## ShardingSphere 与 openGauss ，联合突破单机数据库性能瓶颈\n\n\n在下午的生态工具分论坛，SphereEx 研发工程师吴伟杰对上午张亮的内容做了补充和细化，他重点介绍了 ShardingSphere 在与 openGauss 合作共同打造国产高性能分布式数据库的解决方案。\n\n在此次合作中，openGauss 团队采用了 7 台机器运行适配 ShardingSphere-JDBC 的 BenchmarkSQL 测试工具，连接 8 台 openGauss 数据库，并部署了 1 台 ShardingSphere-Proxy 用于数据初始化、一致性校验等维护操作。通过数据分片能力，ShardingSphere 使总共 8000 仓数据（超过 800 GB）被分散在 8 台 openGauss 节点。在完美 Sharding 的情况下进行持续超过 1 小时的测试后，得到了平均超过 1000 万 tpmC 的结果，行业同等规模下性能最好。\n\n![1.png](https://official-media.sphere-ex.com/1_d0c225add1.png)\n\n\n这极大突破了 openGauss 现有的性能极限，满足 openGauss 在海量数据场景下关于性能、可用性以及运维成本这三方面的诉求。\n\n在 openGauss 的体系中，Apache ShardingSphere 能够通过水平拆分以使 openGauss 的计算与存储能力实现线性扩展，性能也随着扩展准线性增长，从而有效解决单表数据量膨胀问题；此外结合业务流量，灵活平滑进行数据节点的扩缩容，智能读写分离，实现分布式数据库的自动负载均衡。\n\n\n2022 年，SphereEx 与 openGauss 强强联合，相信在两者的紧密合作里，顶级分布式开源项目与顶级单机数据库会共同治理未来更澎湃的“数据浪潮”、充分汇聚与利用数据资源的“动能”与“势能”，从而为全球数字化建设、组织智能化转型充分助力！\n","date":"2022-07-18","author":"SphereEx","excerpt":"顶级分布式开源项目与顶级单机数据库强强联合","createdAt":"2022-07-18T07:50:15.481Z","updatedAt":"2022-07-18T07:50:16.488Z","publishedAt":"2022-07-18T07:50:16.479Z","locale":"zh","location":null,"startDate":null,"endDate":null,"eventsType":{"data":null},"cover":{"data":null},"localizations":{"data":[]}}}],"en":[{"id":44,"attributes":{"feature":false,"title":"Conf42: Kube Native | Kube Native Goes Live!","content":"Are you cloud native? Do you love Kubernetes? Have you gotten rid of the monolith and adopted microservices… and then perhaps moved back to the monolith like Istio did?\n\nIf any of this applies to you, just join [Con42: Kube Native](https://www.conf42.com/kubenative2022) together with us!\n\nWe'll join [Con42: Kube Native](https://www.conf42.com/kubenative2022) on October 20, 2022. It's our second time participating in the Con42 conferences. This time, our Co-Founder and CTO will deliver a speech named _online OLTP computing and traffic governance as a service for true digital transformation_.\n\n![conf42 Kube native.png](https://sphereex-media-1305704183.cos.ap-beijing.myqcloud.com/conf42_Kube_native_996de1fc48.png)\n\nIt will help you to learn how to load balance and manage data traffic between apps and databases and how to deliver optimal user experience while maintaining query cost awareness. This talk will focus on providing you with a solution for elastic and secure OLTP cloud computing with your MySQL, PostgreSQL, SQLServer, and Oracle database.","date":"2022-10-10","author":"SphereEx","excerpt":"Are you cloud native? Do you love Kubernetes? Come and explore the magic world of Kubernetes!","createdAt":"2022-10-10T03:20:21.747Z","updatedAt":"2022-10-11T07:15:56.048Z","publishedAt":"2022-10-11T06:06:09.627Z","locale":"en","location":"Online","startDate":"2022-10-20","endDate":"2022-10-21","eventsType":{"data":null},"cover":{"data":{"id":413,"attributes":{"name":"con42 kube native cover.png","alternativeText":"con42 kube native cover.png","caption":"con42 kube native cover.png","width":671,"height":218,"formats":{"thumbnail":{"name":"thumbnail_con42 kube native cover.png","hash":"thumbnail_con42_kube_native_cover_c862982c9b","ext":".png","mime":"image/png","width":245,"height":80,"size":25.07,"path":null,"url":"https://sphereex-media-1305704183.cos.ap-beijing.myqcloud.com/thumbnail_con42_kube_native_cover_c862982c9b.png"},"small":{"name":"small_con42 kube native cover.png","hash":"small_con42_kube_native_cover_c862982c9b","ext":".png","mime":"image/png","width":500,"height":162,"size":102.68,"path":null,"url":"https://sphereex-media-1305704183.cos.ap-beijing.myqcloud.com/small_con42_kube_native_cover_c862982c9b.png"}},"hash":"con42_kube_native_cover_c862982c9b","ext":".png","mime":"image/png","size":143.64,"url":"https://sphereex-media-1305704183.cos.ap-beijing.myqcloud.com/con42_kube_native_cover_c862982c9b.png","previewUrl":null,"provider":"strapi-provider-upload-s3-compat","provider_metadata":null,"createdAt":"2022-10-11T07:15:52.218Z","updatedAt":"2022-10-11T07:15:52.218Z"}}},"localizations":{"data":[]}}},{"id":45,"attributes":{"feature":false,"title":"Localhost Conference 2022","content":"We'll be joining [Localhost Conference 2022](https://www.joinlocalhost.com/post/localhost-conference-2022-launch-article) on October 29th, 2022. Our Co-Founder and CTO, Trista Pan, will share a talk titled _How to Build a Distributed & Secure Database Ecosystem with PostgreSQL_.\n\nThis year, Localhost works with [DevOpsDays](https://devopsdays.org/), hosting a conference this October. Localhost Conference is an annual gathering of Cloud, DevOps, and Site Reliability Engineers across the world where thought leaders, experts, and enthusiasts come together to connect, accelerate and innovate. It's thought-provoking and informative, as it will feature keynote speeches, break-out sessions, interactive/networking sessions, and much more.\n\nThis conference is targeted at Cloud, DevOps and SREs looking to network, grow and leverage opportunities within the community. Experts from all over the world will be flying down to Nigeria to share ideas and knowledge across various DevOps tenets in line with the theme Shifting Left.\n\nJoin us and our CTO will provide you with a solution for elastic and secure OLTP cloud computing with your MySQL, PostgreSQL, SQLServer, and Oracle database.\n\n![Localhost Conference.png](https://sphereex-media-1305704183.cos.ap-beijing.myqcloud.com/Localhost_Conference_c93779a76a.png)","date":"2022-10-10","author":"SphereEx","excerpt":"Join thousands of IT experts and enjoy a thought-provoking and informative conference!   ","createdAt":"2022-10-10T03:22:59.698Z","updatedAt":"2022-10-11T09:13:20.349Z","publishedAt":"2022-10-11T06:05:34.433Z","locale":"en","location":"Online","startDate":"2022-10-29","endDate":"2022-10-29","eventsType":{"data":null},"cover":{"data":{"id":414,"attributes":{"name":"localhost cover.png","alternativeText":"localhost cover.png","caption":"localhost cover.png","width":300,"height":211,"formats":{"thumbnail":{"name":"thumbnail_localhost cover.png","hash":"thumbnail_localhost_cover_f8ca306203","ext":".png","mime":"image/png","width":222,"height":156,"size":87.71,"path":null,"url":"https://sphereex-media-1305704183.cos.ap-beijing.myqcloud.com/thumbnail_localhost_cover_f8ca306203.png"}},"hash":"localhost_cover_f8ca306203","ext":".png","mime":"image/png","size":138.51,"url":"https://sphereex-media-1305704183.cos.ap-beijing.myqcloud.com/localhost_cover_f8ca306203.png","previewUrl":null,"provider":"strapi-provider-upload-s3-compat","provider_metadata":null,"createdAt":"2022-10-11T07:16:14.237Z","updatedAt":"2022-10-12T04:03:18.723Z"}}},"localizations":{"data":[]}}},{"id":43,"attributes":{"feature":false,"title":"Cloud Container Sec Summit Powered by Techstrong Live Group","content":"\nWe were excited to join  [Cloud Container Sec Summit](https://www.techstrongevents.com/container-cloud-sec-con-2022/home) on October 4th, 2022. Our CTO, Trista Pan, delivered a speech in this event, titled _How to Build a Distributed and Secure Database Ecosystem With PostgreSQL_.\n\n![cloud container sec summit.jpg](https://sphereex-media-1305704183.cos.ap-beijing.myqcloud.com/cloud_container_sec_summit_8ea6dc5062.jpg)\n\nThis event is powered by [Techstrong Live Group](https://www.techstrongevents.com/virtual/about). It tells you how to secure your cloud/container environment against the evolving threat landscape. You can register and watch the sessions to learn about: \n- What does the modern threat landscape look like?\n- What are the best practices to protect your organization?\n- What do some of the brightest minds on the subject think you should do?\n\n","date":"2022-10-04","author":"SphereEx","excerpt":"This event tells you how to secure your cloud/container environment against the evolving threat landscape.","createdAt":"2022-10-10T02:50:19.277Z","updatedAt":"2022-10-11T06:34:09.572Z","publishedAt":"2022-10-11T06:04:19.090Z","locale":"en","location":"Online","startDate":"2022-10-04","endDate":"2022-10-04","eventsType":{"data":null},"cover":{"data":{"id":405,"attributes":{"name":"cloud container sec cover.png","alternativeText":"cloud container sec cover.png","caption":"cloud container sec cover.png","width":400,"height":218,"formats":{"thumbnail":{"name":"thumbnail_cloud container sec cover.png","hash":"thumbnail_cloud_container_sec_cover_62587a17eb","ext":".png","mime":"image/png","width":245,"height":134,"size":90.75,"path":null,"url":"https://sphereex-media-1305704183.cos.ap-beijing.myqcloud.com/thumbnail_cloud_container_sec_cover_62587a17eb.png"}},"hash":"cloud_container_sec_cover_62587a17eb","ext":".png","mime":"image/png","size":215.63,"url":"https://sphereex-media-1305704183.cos.ap-beijing.myqcloud.com/cloud_container_sec_cover_62587a17eb.png","previewUrl":null,"provider":"strapi-provider-upload-s3-compat","provider_metadata":null,"createdAt":"2022-10-11T06:02:36.670Z","updatedAt":"2022-10-12T05:42:03.675Z"}}},"localizations":{"data":[]}}}]},"latestNews":{"zh":[{"id":80,"attributes":{"feature":false,"title":"企业数据服务公司","content":"　　近年来，随着信息技术的飞速发展，企业越来越意识到数据的重要性。数据不仅是企业的基础资产，更是推动商业创新和决策的关键。面对海量复杂的数据，企业如何高效地利用、分析和应用？这就需要借助专业的企业数据服务公司，为企业拓展新的商业空间、提升竞争力。\n![企业微信截图_16988342686686.png](https://sphereex-media-1305704183.cos.ap-beijing.myqcloud.com/16988342686686_3ead618b94.png)\n　　数据服务公司本质上是一种职业的信息技术服务提供商，其核心业务是为各行各业的企业提供全方位、个性化的数据解决方案。这些公司凭借丰富的经验和先进的技术手段，能够帮助企业清理、管理和分析各类数据，从而提供更准确、可靠的商业决策支持。\n\n　　首先，企业数据服务公司能够协助企业建立高效的数据管理体系。在信息时代，数据不仅量大，而且来源多元，涵盖了企业内部各个环节。如何实时获取和整合这些数据，并确保数据的安全和可靠性，是每个企业面临的挑战。数据服务公司通过职业的技术和手段，可以帮助企业设计和搭建全面的数据管理系统，实现数据的高效收集、存储、处理和分析，从而提升企业的数据管理水平。\n\n　　其次，数据服务公司能够提供全方位的数据分析和洞察服务。数据并非只是冷冰冰的数字，而是蕴含着宝贵的商业洞察和价值。数据服务公司借助先进的数据分析方法和工具，能够从庞杂的数据中提取有用的信息，洞察市场、消费者需求、竞争对手等关键要素，并通过数据可视化等手段呈现给企业，帮助企业了解市场趋势、预测需求变化、制定准确的市场营销策略，进一步提升企业的竞争力。\n\n　　综上所述，企业数据服务公司在信息化浪潮中发挥着重要的作用。它们不仅使企业能够高效地处理和分析海量的数据，更重要的是能够在商业层面上将数据转化为实际的商业价值。因此，选择一家职业的企业数据服务公司，对于企业来说，不仅是提升竞争力的有效手段，更是一次战略性的投资。","date":"2023-11-01","author":"思斐","excerpt":"近年来，随着信息技术的飞速发展，企业越来越意识到数据的重要性。数据不仅是企业的基础资产，更是推动商业创新和决策的关键。","createdAt":"2023-11-01T10:26:27.413Z","updatedAt":"2023-11-01T10:26:34.107Z","publishedAt":"2023-11-01T10:26:34.102Z","locale":"zh","newsType":{"data":null},"cover":{"data":{"id":513,"attributes":{"name":"企业微信截图_16988342686686.png","alternativeText":"企业微信截图_16988342686686.png","caption":"企业微信截图_16988342686686.png","width":469,"height":278,"formats":{"thumbnail":{"name":"thumbnail_企业微信截图_16988342686686.png","hash":"thumbnail_16988342686686_3ead618b94","ext":".png","mime":"image/png","width":245,"height":145,"size":50.61,"path":null,"url":"https://sphereex-media-1305704183.cos.ap-beijing.myqcloud.com/thumbnail_16988342686686_3ead618b94.png"}},"hash":"16988342686686_3ead618b94","ext":".png","mime":"image/png","size":63.16,"url":"https://sphereex-media-1305704183.cos.ap-beijing.myqcloud.com/16988342686686_3ead618b94.png","previewUrl":null,"provider":"strapi-provider-upload-s3-compat","provider_metadata":null,"createdAt":"2023-11-01T10:25:01.095Z","updatedAt":"2023-11-01T10:25:01.095Z"}}},"localizations":{"data":[]}}},{"id":81,"attributes":{"feature":false,"title":"云原生数据库","content":"　　作为一种新兴的数据存储与管理技术，云原生数据库以其高可用性、强大的扩展性和灵活的部署方式成为越来越多企业的选择。\n![企业微信截图_16988346069159.png](https://sphereex-media-1305704183.cos.ap-beijing.myqcloud.com/16988346069159_e1e6745354.png)\n　　云数据库是指在云计算环境下运行的数据库系统。与传统的数据库相比，云数据库更加注重在弹性扩展、高可用性和容器化部署等方面的优化。首先，它具备高可用性，利用多副本技术和分布式架构，确保数据的持久性和可靠性。其次，它采用分布式存储和计算技术，可根据业务需求进行弹性扩缩容，提供高性能的数据处理能力。此外，它结合了容器化技术，实现了快速部署和资源管理的便利，有效提升了应用开发和运维的效率。\n\n　　云原生数据库在各行各业中得到了广泛的应用。例如，在电子商务行业中，它能够实现订单的高并发处理和实时查询，提高客户在线购物体验；在物流行业中，它能够实现实时追踪和分析货物的运输信息，提高物流运营的效率和准确性。此外，它还广泛应用于金融、医疗、教育等领域，助力企业实现数字化转型，提升核心竞争力。\n\n　　云数据库的出现，不仅可以满足大规模数据处理的需求，更具备良好的扩展性和灵活性。它以其独特的技术特点，成为了许多企业转型的重要一环。传统的数据库架构在面对大规模数据处理时面临着许多困境，例如扩容不灵活、性能瓶颈等，而云数据库得以有效解决了这些问题。通过采用分布式架构，它可以方便地进行扩容，根据业务需求灵活调整系统资源，实现高性能的数据处理能力，进而助力企业在激烈的市场竞争中脱颖而出。\n\n　　总而言之，云原生数据库正在成为企业数据处理的未来之路。它以其高可用性、强大的扩展性和灵活的部署方式，满足了大规模数据处理的需求，成为企业实现数字化转型的重要技术支持。未来，随着云计算和大数据技术的不断发展，云原生数据库有望进一步完善和扩展其功能和能力，为企业带来更多的商业价值。‍","date":"2023-11-01","author":"思斐","excerpt":"作为一种新兴的数据存储与管理技术，云原生数据库以其高可用性、强大的扩展性和灵活的部署方式成为越来越多企业的选择。","createdAt":"2023-11-01T10:32:42.301Z","updatedAt":"2023-11-01T10:32:48.557Z","publishedAt":"2023-11-01T10:32:48.553Z","locale":"zh","newsType":{"data":null},"cover":{"data":{"id":514,"attributes":{"name":"企业微信截图_16988346069159.png","alternativeText":"企业微信截图_16988346069159.png","caption":"企业微信截图_16988346069159.png","width":640,"height":383,"formats":{"thumbnail":{"name":"thumbnail_企业微信截图_16988346069159.png","hash":"thumbnail_16988346069159_e1e6745354","ext":".png","mime":"image/png","width":245,"height":147,"size":54.74,"path":null,"url":"https://sphereex-media-1305704183.cos.ap-beijing.myqcloud.com/thumbnail_16988346069159_e1e6745354.png"},"small":{"name":"small_企业微信截图_16988346069159.png","hash":"small_16988346069159_e1e6745354","ext":".png","mime":"image/png","width":500,"height":299,"size":199.82,"path":null,"url":"https://sphereex-media-1305704183.cos.ap-beijing.myqcloud.com/small_16988346069159_e1e6745354.png"}},"hash":"16988346069159_e1e6745354","ext":".png","mime":"image/png","size":110.5,"url":"https://sphereex-media-1305704183.cos.ap-beijing.myqcloud.com/16988346069159_e1e6745354.png","previewUrl":null,"provider":"strapi-provider-upload-s3-compat","provider_metadata":null,"createdAt":"2023-11-01T10:31:59.862Z","updatedAt":"2023-11-01T10:31:59.862Z"}}},"localizations":{"data":[]}}},{"id":79,"attributes":{"feature":false,"title":"数据加密技术","content":"随着互联网的快速发展，电子信息的传输和存储方式也面临着越来越多的安全威胁。数据泄露、信息盗取等问题在互联网时代愈加突出，给个人隐私和区域安全带来了巨大的挑战。为了解决这一问题，数据加密技术应运而生。无论是个人用户还是企业组织，都应该认识到数据加密的重要性，通过加密技术来保护信息的安全。\n 加密技术是指使用特定的算法将原始数据转化为难以解读的密文，在传输和存储过程中起到保护数据安全的作用。它通过对数据进行加密操作，使得非授权人员无法读取、修改或篡改数据内容。这种技术可以大大降低数据泄露和信息被窃取的风险，确保数据的机密性和完整性。\n在现实生活中，我们经常使用的手机支付、在线购物和云存储等服务，都涉及到大量的个人信息传输和储存。如果这些数据不进行加密，就会面临被黑客攻击和窃取的风险。而通过加密技术，可以有效地保护用户的隐私信息，防止个人财产和隐私权的侵犯。\n不仅个人用户需要保护自己的个人信息安全，企业组织在面临日益复杂的网络攻击风险时也要高度重视数据加密。例如，银行等金融机构经常面临着黑客入侵的威胁，而这些黑客在入侵后会试图窃取用户的存款信息和交易记录。通过在数据传输和存储过程中使用加密技术，银行可以保护用户的资金安全和交易隐私，避免重大经济损失的发生。\n除了对个人用户和企业组织的重要性之外，加密技术对于区域安全也至关重要。在信息化时代，区域之间的情报战和网络攻击日益增多。通过对机密信息进行加密，可以防止敌对势力窃取区域的重要机密，维护区域的安全和利益。\n然而，加密技术并非万无一失。黑客和破解者也在不断地研究新的攻击方法和技术，以突破加密算法的防御。因此，保持加密技术的更新和升级至关重要。只有不断提升加密算法的复杂性和安全性，才能更好地应对不断变化的网络安全挑战。\n综上所述，数据加密作为保护信息安全的一种重要手段，既关乎个人用户的隐私权和资金安全，也关系到企业组织的商业机密和区域的安全利益。在不断变化的网络环境中，我们要认识到数据加密的重要性，不断完善加密技术的安全性，将数据加密视作保护信息安全的铠甲，共同构建一个安全、可信的数字世界。‍","date":"2023-09-15","author":null,"excerpt":"随着互联网的快速发展，电子信息的传输和存储方式也面临着越来越多的安全威胁。数据泄露、信息盗取等问题在互联网时代愈加突出，给个人隐私和区域安全带来了巨大的挑战。为了解决这一问题，数据加密技术应运而生。","createdAt":"2023-09-15T06:01:52.600Z","updatedAt":"2023-09-15T06:03:15.467Z","publishedAt":"2023-09-15T06:01:56.580Z","locale":"zh","newsType":{"data":null},"cover":{"data":{"id":509,"attributes":{"name":"企业微信截图_1694757539520.png","alternativeText":"企业微信截图_1694757539520.png","caption":"企业微信截图_1694757539520.png","width":1456,"height":701,"formats":{"thumbnail":{"name":"thumbnail_企业微信截图_1694757539520.png","hash":"thumbnail_1694757539520_b759b7cf1f","ext":".png","mime":"image/png","width":245,"height":118,"size":29.65,"path":null,"url":"https://sphereex-media-1305704183.cos.ap-beijing.myqcloud.com/thumbnail_1694757539520_b759b7cf1f.png"},"large":{"name":"large_企业微信截图_1694757539520.png","hash":"large_1694757539520_b759b7cf1f","ext":".png","mime":"image/png","width":1000,"height":481,"size":323.77,"path":null,"url":"https://sphereex-media-1305704183.cos.ap-beijing.myqcloud.com/large_1694757539520_b759b7cf1f.png"},"medium":{"name":"medium_企业微信截图_1694757539520.png","hash":"medium_1694757539520_b759b7cf1f","ext":".png","mime":"image/png","width":750,"height":361,"size":193.2,"path":null,"url":"https://sphereex-media-1305704183.cos.ap-beijing.myqcloud.com/medium_1694757539520_b759b7cf1f.png"},"small":{"name":"small_企业微信截图_1694757539520.png","hash":"small_1694757539520_b759b7cf1f","ext":".png","mime":"image/png","width":500,"height":241,"size":96.42,"path":null,"url":"https://sphereex-media-1305704183.cos.ap-beijing.myqcloud.com/small_1694757539520_b759b7cf1f.png"}},"hash":"1694757539520_b759b7cf1f","ext":".png","mime":"image/png","size":333.8,"url":"https://sphereex-media-1305704183.cos.ap-beijing.myqcloud.com/1694757539520_b759b7cf1f.png","previewUrl":null,"provider":"strapi-provider-upload-s3-compat","provider_metadata":null,"createdAt":"2023-09-15T05:59:38.342Z","updatedAt":"2023-09-15T05:59:38.342Z"}}},"localizations":{"data":[]}}}],"en":[{"id":64,"attributes":{"feature":true,"title":"SphereEx-DBPlusEngine 1.4.0 Release: Enhanced Data Governance for Enterprises","content":"SphereEx-DBPlusEngine 1.3.0, released in January, received a lot of attention and feedback from users and customers. To meet their needs and focus on the industry's future development, we developed a release schedule based on feedback and are excited to announce the release of SphereEx-DBPlusEngine 1.4.0. This version includes significant updates that optimize the migration process and enhance security features such as in-process audit, archiving, and DDL consistency.\n\n# New Capabilities Meet Core User Demands\n\n## 1. Archiving: Support for automatic deletion of expired data\n\nArchiving expired data is a common requirement, and SphereEx-DBPlusEngine 1.4.0 now supports the automatic deletion of expired data. By defining a specific time field in the data table, the system can automatically delete data stored in the table that exceeds the specified time. This simple configuration process saves time and improves efficiency while also enhancing security.\n\n## 2. DDL consistency: Support for consistent execution of DDL statements\n\nDDL consistency has always been a problem in a distributed database environment, especially with sharded tables stored in multiple storage nodes. SphereEx-DBPlusEngine 1.4.0 now supports consistent execution of DDL statements, which can be combined with locks to ensure consistency. This guarantees the maximum concurrency of SQL execution and enhances efficiency.\n\n# Optimized Design Makes Products More Stable and Efficient\n\n## 1. Enhanced migration process: Support for migration of multiple tables with one DistSQL task\n\nTraditional data migration processes execute multiple table tasks in parallel to improve efficiency. However, each DistSQL task can only migrate one table, resulting in low efficiency and manual configuration requirements. SphereEx-DBPlusEngine 1.4.0 now supports the migration of multiple tables with one DistSQL task, greatly improving efficiency. Users only need to specify the tables that need to be migrated in the task configuration.\n\n## 2. Enhanced security features: Support for in-process audit\n\nIn the field of database technology, security has always been a significant issue. SphereEx-DBPlusEngine 1.4.0 introduces support for in-process audit, an important security mechanism that audits relevant SQL operations during execution. With built-in algorithms, it can audit relevant data changes and support two audit actions: log alarm and immediate fuse. This feature enhances system security and allows users to audit and trace more effectively.\n\n# About SphereEx-DBPlusEngine\n\nSphereEx-DBPlusEngine is a product based on the open-source kernel ShardingSphere, providing enterprise-level enhanced data services such as data sharding, distributed transactions, and data security for businesses. It consists of two products: SphereEx-DBPlusEngine-Driver and SphereEx-DBPlusEngine-Proxy, both of which can be deployed independently and support hybrid deployment. They provide standardized data horizontal scaling, distributed transactions, and distributed governance, and can be applied to a variety of diversified scenarios such as Java, homogeneous/heterogeneous languages, cloud-native, etc.\n\nThe release of SphereEx-DBPlusEngine 1.4.0 provides users with a series of new core features and major updates, further expanding the scope of application scenarios for SphereEx-DBPlusEngine and improving efficiency in practical environments. Choosing SphereEx-DBPlusEngine 1.4.0 can not only provide a more stable, efficient, and secure data governance solution but also offer more professional and complete enterprise-level services, reducing costs while accelerating digital business innovation.\n\n# Free Trial\n\nSphereEx-DBPlusEngine 1.4.0 is now available for free download and trial on the [SphereEx official website](https://www.sphere-ex.com/account/#/login/signIn?redirect=%2Fdownload). We are also an AWS APN technical partner, and every version of SphereEx-DBPlusEngine is packaged and released on AWS Marketplace. AWS users are welcome to find our offerings on [AWS Marketplace](https://aws.amazon.com/marketplace/seller-profile?id=d1a1d3ef-fce8-43d5-a57b-e5b1ec59caf0) to download and experience SphereEx-DBPlusEngine and unlock the convenience and efficiency of cloud-based digital services.","date":"2023-04-03","author":"SphereEx","excerpt":null,"createdAt":"2023-04-04T05:51:34.314Z","updatedAt":"2023-04-04T05:51:36.981Z","publishedAt":"2023-04-04T05:51:36.977Z","locale":"en","newsType":{"data":null},"cover":{"data":null},"localizations":{"data":[]}}},{"id":63,"attributes":{"feature":true,"title":"SphereEx-DBPlusEngine V1.3.0: Enhanced Functionality for Better Data Governance","content":"SphereEx is excited to announce the release of SphereEx-DBPlusEngine V1.3.0, which comes with significant updates to provide enterprises with enhanced data service capabilities. Here are the key improvements in this release:\n\n- Data migration and horizontal scaling: The new update allows users to implement Proxy-based clustering migration, which enhances the computing and data processing capacity of the cluster. Additionally, DBPlusEngine simplifies the operational steps for data migration, making it easier for users.\n- Data masking: The latest update now features mask rules that deform and blur key data when certain key information queries are made, ensuring the safety of sensitive data.\n- Single table to shard table: The Scaling tool in the new update allows the automatic conversion of a single table to a shard table, simplifying users' operations.\n- Driver log collection and metrics monitoring: The DBPlusEngine-Driver form now has the same capability as DBPlusEngine-Proxy, which allows for the visual display of logs and monitoring metrics collected on the Driver side, improving users' experience in log retrieval and monitoring scenarios.\n- Fuzzy query calculations: The new implementation of like calculations in encrypted scenarios supports fuzzy query calculations.\n- Encrypted/decryption data cleaning File Transfer Protocol: In cases of an interruption/failure during encrypted data cleaning, DBPlusEngine can continue to start the data cleaning task based on File Transfer Protocol.\n\n## SphereEx-DBPlusEngine-Mate: Fully Supporting All DBPlusEngine Capabilities\n\nIn addition to the updates to SphereEx-DBPlusEngine, the DBPlusEngine-Mate has come to the v0.3.0 version, which supports all DBPlusEngine capabilities in cloud environments. This allows users to use DBPlusEngine out of ZooKeeper in a Kubernetes environment to get closer to cloud-native ways of managing DBPlusEngine.\n\nThe DBPlusEngine-Mate is a metadata management tool in cloud-native scenarios that seamlessly integrates governance capabilities such as sharding, encrypted data cleaning, read/write separation, and high availability into the Kubernetes metadata system. This allows users to eliminate dependency on ZooKeeper on the cloud, reducing the cost of machine resources and the burden of operations and maintenance staff.\n\nOther Benefits of the DBPlusEngine-Mate v0.3.0 update:\n\n- Guarantees the integrity of DBPlusEngine functionality.\n- Empowers users to fully use DistSQL in the cloud.\n- Optimizes the user experience on the SRE side.\n- Provides SREs and DBAs with the same operational experience as a cloud-native database.\n\n## Experience SphereEx-DBPlusEngine V1.3.0 Today!\n\n![img](https://u01f1kqxrl.feishu.cn/space/api/box/stream/download/asynccode/?code=NGRhYWI1NzM3ODNkZWJkNmUwNzkwMGVjMWFmYjFiNDNfbjVKQW5Wd3FteHI1Tk1VNDl3N3g5N01UWDVNVHVFZ2JfVG9rZW46QW1kcmJEeldKb3h2QUx4Mlc0NmM3dW1BbkJoXzE2ODA1ODcwNzQ6MTY4MDU5MDY3NF9WNA)\n\n<center>(SphereEx-DBPlusEngine v1.3.0 Product Library page)</center>\n\nSphereEx-DBPlusEngine V1.3.0 is now available for download on the [SphereEx official website](https://www.sphere-ex.com/account/#/login/signIn?redirect=%2Fdownload). Contact our staff to get a limited-time license and experience all the features of SphereEx-DBPlusEngine v1.3.0 for free. AWS users are welcome to find our offerings on the [AWS Marketplace](https://aws.amazon.com/marketplace/seller-profile?id=d1a1d3ef-fce8-43d5-a57b-e5b1ec59caf0).","date":"2023-02-24","author":"SphereEx","excerpt":null,"createdAt":"2023-04-04T05:47:36.369Z","updatedAt":"2023-04-04T05:47:37.666Z","publishedAt":"2023-04-04T05:47:37.664Z","locale":"en","newsType":{"data":null},"cover":{"data":null},"localizations":{"data":[]}}},{"id":57,"attributes":{"feature":true,"title":"iQiyi goes cloud-native with Apache ShardingSphere & Database Mesh","content":" \n \nIn May of this year, we at [SphereEx](https://www.sphere-ex.com/en/) proposed the [Database Mesh 2.0](https://medium.com/faun/database-mesh-2-0-database-governance-in-a-cloud-native-environment-ac24080349eb) concept. \n[Database Mesh](https://www.database-mesh.io/) is a dynamic concept that is constantly evolving, focusing on database traffic governance and providing sharding, load balancing, observability, and audit capabilities based on database protocol awareness. These capabilities address some of the traffic governance issues. \nFurthermore, Database Mesh emphasizes the development of database reliability engineering (DBRE), providing easier-to-use and superior database governance capability. \n \n[iQiyi](https://www.crunchbase.com/organization/iqiyi) shares our view for the concept and vision of Database Mesh, which is to **achieve high-performance database expansion while tackling data governance issues in the cloud**. \n\niQiyi expanded [ShardingSphere-JDBC](https://shardingsphere.apache.org/document/current/en/overview/#shardingsphere-jdbc) based on its business requirements and conducted a series of tests combined with [Pisanix](https://github.com/database-mesh/pisanix), for the implementation of the Database Mesh concept. \n \n### How did iQiyi prepare to go cloud-native with Database Mesh & ShardingSphere-JDBC?\n\nWith the expansion in the number of features, products & service offerings and the surge in the number of users, enterprises have diversified the number of promotional activities to engage and retain users (flash sales, events, etc.). In successful cases, this led to a huge amount of traffic putting great pressure on their databases. \n\nAs a result, enterprises encounter database issues such as secondary delays and slow queries, with some operations failing to meet business requirements. \nMicroservices and cloud-native bring new possibilities for the business roll-out process and governance. But with more diversified business scenarios and stovepipe data application schemes, data control tends to be isolated. Tech teams face problems such as difficult technology selection, high costs, and complicated management and control.\n \nParticularly, cloud-native architecture is growing mature, and the relationship between business applications and database infrastructure is changing gradually. iQiyi hopes to grasp this new trend and adopt unified management to expand and update databases, thus supporting more businesses and applications migrating to the cloud.\n \nTo meet the requirements for database performance and availability in cloud environments, iQiyi needed to migrate [ShardingSphere](https://shardingsphere.apache.org/)'s local distributed capability to the cloud. To achieve this, iQiyi was looking for a tool that can unify cloud database traffic access in a cloud-native environment and achieve the unified and efficient management of cloud traffic and data.\n \nWhile investigating and testing Pisanix, a Database Mesh solution provided by SphereEx, iQiyi also redeveloped ShardingSphere-JDBC, to meet the requirements for sharding, load balancing, configuration and storage, and security when accessing businesses to database governance platforms.\n \n#### 1. Preparation: iQiyi transforms ShardingSphere-JDBC\n\nCurrently, iQiyi uses a unified config center to store database connection configuration. [KMS technology](https://kms-technology.com/) is used to encrypt database access configuration and ShardingSphere-JDBC is used to implement sharding and load balancing. The complete architecture is shown below.\n \n![iQiyi 1.png](https://sphereex-media-1305704183.cos.ap-beijing.myqcloud.com/i_Qiyi_1_ca3a63a55b.png)\n\n \nWhen businesses are connected to the data governance platform, they apply for relevant connection configuration. After they are transformed and the access information is encrypted via KMS, they are stored in the unified configuration storage center. When the application starts, the transformed ShardingSphere-JDBC fetches the configuration and monitors configuration changes to support hot configuration updates.\n \nBefore the transformation, when there was a need to change the configuration, scale-out sharding clusters, upgrade cluster version, or migrate a database to the cloud, it usually required the release of a new version. Also, the DevOps teams had to design complicated procedures such as switchover, rollback, timing selection, grayscale traffic, and data verification, to account for various scenarios.\n \nAfter the transformation, the customized ShardingSphere-JDBC can support sharding cluster scaling or binding changes when adding or modifying table sharding configuration. In the configuration center, you can perform visual operations to modify configurations or bind clusters, and select the configuration of reload timing. When the SDK receives the latest configurations, it starts asynchronous tasks to close the old connection pool and replace the existing one. This facilitates the smooth migration of read/write traffic and greatly simplifies the migration of data governance capabilities to the cloud environment.\n \niQiyi plans to introduce Pisanix-Proxy by accessing Database Mesh, further sinking data governance capability from [SDK](https://en.wikipedia.org/wiki/Software_development_kit) to Sidecar. \n \n#### 2. Data governance capability with Sidecar and building a unified data governance based on Pisanix\n\nIn the traffic access layer, as cloud-native applications move closer to microservices and Serverless, users need to configure complex routing rules, support multiple application-layer protocols, and ensure service access security and the observability of traffic. In response to these requirements, iQiyi used middleware to manage [Redis](https://redis.io/) and [MySQL](https://www.mysql.com/) at the very beginning.\n\n![iQiyi 2.png](https://sphereex-media-1305704183.cos.ap-beijing.myqcloud.com/i_Qiyi_2_fdfce31fdb.png)\n \nAdditionally, SmartJedis provided a unified configuration center to support iQiyi's hybrid cloud deployment. In the unified configuration center, configurations in different environments could be dynamically supported. In a non-mesh environment, a direct connection is adopted; while in a mesh environment, RedisProxy in Envoy is used to manage Redis protocol traffic and support hot updates of connection configuration, avoiding downtime after Redis is moved to the cloud. \n \nIn terms of MySQL, iQiyi's R&D team tested Pisanix, the specific implementation of Database Mesh. Written in [Go](https://go.dev/) and [Rust](lhttps://www.rust-lang.org/) for the [Kubernetes](https://kubernetes.io/) environment, Pisanix currently supports [MySQL](https://www.mysql.com/). It includes three components: Pisa-Controller, Pisa-Proxy, and Pisa-Daemon, which provide a local database for users and applications. It supports multi-protocol pluggable architecture, shields the status of real data sources, and provides unified database traffic control capabilities for data DevOps teams.\n\nCurrently, iQiyi still uses ShardingSphere-JDBC to support Java applications. Once Pisanix will be further implemented by iQiyi, the company will implement standardized automatic database maintenance via Pisanix, and achieve the cloud-native orchestration of multiple database governance behaviors by supporting multi-language applications. Based on Database Mesh's standard `CustomResourceDefinition`, such as unified database access declaration configuration and programmable database access resource limitations, iQiyi can rapidly achieve the governance and orchestration of cloud-native databases.\n \n#### 3. iQiyi's plan for Pisanix\n\n**1）Data sharding: achieve high performance on par with ShardingSphere-JDBC in the cloud**\n\nData sharding is an effective way to deal with massive data storage and computing, which is why iQiyi chose Pisanix for cloud-native and non-Java scenarios. Data sharding mainly includes four modules: SQL parser, SQL rewriting, SQL router, and result merger.\n \nTo facilitate the migration of ShardingSphere's powerful local sharding capability to the cloud, Pisanix provides data sharding governance capabilities in the cloud based on the underlying database, allowing users to achieve horizontal scaling computing through Pisanix. At the same time, more custom metrics are available to achieve intelligent, stable, and advanced auto-scaling for Pisa-Proxy.\n \nBased on the Pisa-Controller plane, iQiyi can achieve the management and control of data plane components. Pisa-Proxy can also be combined and deployed in the same Pod with business applications in Sidecar mode to monitor MySQL protocol and obtain the traffic of applications accessing the database. Pisanix also provides iQiyi with a variety of governance capabilities:\n- **SQL traffic governance:** achieve multiple load balancing strategies and current limiting by paring SQL.\n- **Access control:** achieve fine-grained permission control based on the relationship between users and data permission.\n- **SQL firewall:** prevent high-risk SQL from executing.\n- **Observability:** expose various database access metrics such as throughput and latency.\n \nFrom iQiyi's point of view, Pisanix enables the high-performance sharding of both Java and non-Java services in the cloud environment. This achievement lays the foundation for the smooth transition of more businesses.\n \n**2）Read/write splitting: increase database throughput.**\n\nTo improve throughput and availability, many systems adopt a primary-secondary database architecture configuration mode, which is a bit complicated. Therefore, when read requests outnumber write requests, read/write splitting should be used to overcome the performance bottleneck of the database in real-world application scenarios.\n \nRead/write splitting is a widely used technical solution to improve throughput in primary-secondary scenarios, and is capable of improving query performance and reducing server load. It also brings the same problem with data sharding, which makes it more complicated for DevOps teams to operate databases.\n \nCurrently, iQiyi evenly distributes query requests to multiple data copies through the configuration mode of one primary and multi-secondary, which improves the processing capability of the system. This method improves throughput and the availability of the system - even when a database breaks down or a disk is physically damaged, the system can still maintain normal functioning.\n \niQiyi plans to adopt Pisanix's dynamic read/write splitting feature to manage multi-primary and multi-secondary database clusters. After connecting to Pisanix, iQiyi will be able to transparently manage the primary/secondary database with read/write splitting so that users can use the database with the primary/secondary architecture just like a monolithic database.\n \n### Future plan\n\nCurrently, iQiyi has completed its internal transformation for ShardingSphere-JDBC. In the future, it plans to combine Pisanix and ShardingSphere to achieve the unified governance of MySQL. \n\nDriven by the ShardingSphere and Database Mesh communities, Pisanix will continue to develop cloud solutions to meet various usage scenarios, with SphereEx providing reliable technical support for iQiyi and accelerating the transition speed to the cloud. \n \nPisanix is a very young project, which means there are some shortcomings. iQiyi's test shows that Pisanix is limited in its expression support for database and table sharding, and its special configuration for SQL needs to be further improved. \n\nNext, the community will focus on improving Pisanix's online capabilities, including operating status visualization, metrics, circuit breaker degradation strategy, and tracing. \nAdditionally, SQL audit, Pisa-Controller's merge with [Istio](https://istio.io/), and other issues related to compatibility and performance have also been put on the agenda.\n \nIn the coming future, iQiyi will build a MySQL-based unified data access standard and solution based on ShardingSphere-JDBC and Pisanix that is still evolving under the Database Mesh concept. \n\nThrough a unified configuration center and customized Sidecar, iQiyi will gradually make the database access details fully transparent to developers. This way, it can simplify the operating process while enhancing the security of database access, simplifying moving applications moving to the cloud.\n \n----------------------------\nFor more information about Database Mesh and Pisanix, follow the links below:\n[Database Mesh 2.0: Database Governance in a Cloud Native Environment](https://medium.com/faun/database-mesh-2-0-database-governance-in-a-cloud-native-environment-ac24080349eb)\n[Pisanix is Available! An Open Source Database Mesh Solution Launched by SphereEx](https://www.sphere-ex.com/news/43/)\n[ Pisanix GitHub](https://github.com/database-mesh/pisanix)\n","date":"2022-12-16","author":"SphereEx","excerpt":"iQiyi migrates ShardingSphere’s local distributed capability to the cloud with Database Mesh’s Pisanix\n\n","createdAt":"2022-12-15T06:58:49.152Z","updatedAt":"2023-01-16T03:48:29.037Z","publishedAt":"2022-12-16T08:22:35.305Z","locale":"en","newsType":{"data":null},"cover":{"data":{"id":457,"attributes":{"name":"iQiyi & Database Mesh.png","alternativeText":"iQiyi & Database Mesh.png","caption":"iQiyi & Database Mesh.png","width":1800,"height":766,"formats":{"thumbnail":{"name":"thumbnail_iQiyi & Database 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