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  • pdf文档 Apache ShardingSphere 5.2.0 Document

    way to ensure data security. ShardingSphere provides a set of data encryption solutions that are complete, secure, transparent, and with low transfor‐ mation costs. Shadow Database In the full‐link switchover between old and new features. By accessing ShardingSphere encrypt, users can easily complete the encryption transformation of the system, and it can also help users securely and quickly switch services during the migration of encrypted data. It can be deleted after the data cleansing is complete. 3.8. Encryption 46 Apache ShardingSphere document, v5.2.0 3.8.7 Limitations • You need to process
    0 码力 | 483 页 | 4.27 MB | 1 年前
    3
  • pdf文档 Apache ShardingSphere 5.2.1 Document

    switchover between old and new features. By accessing ShardingSphere encrypt, users can easily complete the encryption transformation of the system, and it can also help users securely and quickly switch services during the migration of encrypted data. It can be deleted after the data cleansing is complete. 3.8.7 Limitations • You need to process the original data on stocks in the database by yourself Shadow 46 Apache ShardingSphere document, v5.2.1 In the test environment, the cost of rebuild complete set of pressure test environment similar to the production environment is too high. It is usually
    0 码力 | 523 页 | 4.51 MB | 1 年前
    3
  • pdf文档 Apache ShardingSphere v5.5.0 document

    industry needs for data masking and the pain points of business transformation, it pro‐ vides a complete, safe, transparent, and low transformation cost data masking integration solution, which is the has already been launched, you can access the data masking function of ShardingSphere to quickly complete the con‐ figuration of mask rules. Customers can use data masking function transparently without service can no longer reflect the real scenario. In the test environment, the cost of rebuild complete set of pressure test environment similar to the production environment is too high. It is usually
    0 码力 | 602 页 | 3.85 MB | 1 年前
    3
  • pdf文档 Apache ShardingSphere 5.4.1 Document

    industry needs for data masking and the pain points of business transformation, it pro‐ vides a complete, safe, transparent, and low transformation cost data masking integration solution, which is the has already been launched, you can access the data masking function of ShardingSphere to quickly complete the con‐ figuration of mask rules. Customers can use data masking function transparently without service can no longer reflect the real scenario. In the test environment, the cost of rebuild complete set of pressure test environment similar to the production environment is too high. It is usually
    0 码力 | 572 页 | 3.73 MB | 1 年前
    3
  • pdf文档 Apache ShardingSphere ElasticJob document Nov 01, 2023

    "simpleJobListener"; } } Distributed Listener If the job processes database data, only one node needs to complete the data cleaning task after the processing is completed. This type of task is complicated to process fields except failure_cause and complete_time are not empty. 2. When the job completes execution, program will update the record, update the columns of is_success, complete_time and failure_cause(if the
    0 码力 | 101 页 | 1.53 MB | 1 年前
    3
  • pdf文档 Apache ShardingSphere 5.0.0 Document

    situations to the database. Apache ShardingSphere wants to solve massive data OLTP problem first and complete relevant OLAP support problem little by little. SQL SQL Supporting Status Compatible with all version 4.1.0. Current status is in alpha development. 4.6.5 Core Concept Scaling Job It refers one complete process of scaling data from old rule to new rule. Inventory Data It refers all existing data single service can no longer reflect the real scenario. In the test environment, if you rebuild a complete set of pressure test environment similar to the pro‐ duction environment, the cost is too high
    0 码力 | 403 页 | 3.15 MB | 1 年前
    3
  • pdf文档 Apache ShardingSphere 5.1.1 Document

    situations to the database. Apache ShardingSphere wants to solve massive data OLTP problem first and complete relevant OLAP support problem little by little. SQL SQL Supporting Status Compatible with all version 4.1.0. Current status is in alpha development. 4.7.5 Core Concept Scaling Job It refers one complete process of scaling data from old rule to new rule. Inventory Data It refers all existing data service can no longer reflect the real scenario. In the test environment, the cost of rebuild complete set of pressure test environment similar to the production environment is too high. It is usually
    0 码力 | 458 页 | 3.43 MB | 1 年前
    3
  • pdf文档 Apache ShardingSphere 5.1.2 Document

    situations to the database. Apache ShardingSphere wants to solve massive data OLTP problem first and complete relevant OLAP support problem little by little. 4.3. Sharding 37 Apache ShardingSphere document ingsphere‐ kernel/shardingsphere‐data‐pipeline 4.7.5 Core Concept Scaling Job It refers one complete process of scaling data from old rule to new rule. Inventory Data It refers all existing data service can no longer reflect the real scenario. In the test environment, the cost of rebuild complete set of pressure test environment similar to the production environment is too high. It is usually
    0 码力 | 503 页 | 3.66 MB | 1 年前
    3
  • pdf文档 Apache ShardingSphere 5.0.0-alpha Document

    Parse Engine Compared to other programming languages, SQL is relatively simple, but it is still a complete set of programming language, so there is no essential difference between parsing SQL grammar and situations to the database. Apache ShardingSphere wants to solve massive data OLTP problem first and complete relevant OLAP support problem little by little. SQL Since the SQL syntax is flexible and complex 3.5.5 Status current is in alpha development. 3.5.6 Core Concept Scaling Job It refers one complete process of scaling data from old sharding rules to new sharding rule. Data Node Same as the Data
    0 码力 | 311 页 | 2.09 MB | 1 年前
    3
  • pdf文档 Apache ShardingSphere ElasticJob 中文文档 2023 年 11 月 01 日

    JOB_EXECUTION_LOG 记录每次作业的执行历史。分为两个步骤: 1. 作业开始执行时向数据库插入数据,除 failure_cause 和 complete_time 外的其他字段均不为空。 2. 作业完成执行时向数据库更新数据,更新 is_success, complete_time 和 failure_cause(如果作业执 行失败)。 6.1. 使用手册 49 Apache ShardingSphere
    0 码力 | 98 页 | 1.97 MB | 1 年前
    3
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