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  • pdf文档 Apache ShardingSphere ElasticJob document Nov 01, 2023

    5.2.4 Implementation Principle ElasticJob does not have a job scheduling center node, but the programs based on the deployment job framework trigger the scheduling when the corresponding time point
    0 码力 | 101 页 | 1.53 MB | 1 年前
    3
  • pdf文档 Apache ShardingSphere 5.0.0 Document

    loss Decentralization Yes No Static Entry No Yes The advantages of ShardingSphere‐Proxy lie in supporting heterogeneous languages and providing op‐ erational entries for DBA. 3.1.3 Hybrid Adaptors ShardingSphere‐JDBC data OLTP problem first and complete relevant OLAP support problem little by little. SQL SQL Supporting Status Compatible with all regular SQL when routing to single data node; The SQL routing to multiple centralization Yes No Yes Static Entry No Yes No The advantages of ShardingSphere‐Proxy lie in supporting heterogeneous languages and providing op‐ erational entries for DBA. 5.2.3 Usage This chapter
    0 码力 | 403 页 | 3.15 MB | 1 年前
    3
  • pdf文档 Apache ShardingSphere 5.2.0 Document

    also supports sharding based on multiple fields. Sharding Algorithm Algorithm for sharding data, supporting =, >=, <=, >, <, BETWEEN and IN. The sharding algorithm can be implemented by the developers themselves above problems and supports data sharding and horizontal scale‐out, while at the same time, also supporting distributed transactions and SQL. The data migration scheme provided by ShardingSphere can help be executed using ShardingSphere‐JDBC or ShardingSphere‐Proxy. Scenarios are used to test the supporting rules of ShardingSphere. Currently, data sharding and read/write splitting and other related scenarios
    0 码力 | 483 页 | 4.27 MB | 1 年前
    3
  • pdf文档 Apache ShardingSphere 5.2.1 Document

    also supports sharding based on multiple fields. Sharding Algorithm Algorithm for sharding data, supporting =, >=, <=, >, <, BETWEEN and IN. The sharding algorithm can be implemented by the developers themselves above problems and supports data sharding and horizontal scale‐out, while at the same time, also supporting distributed transactions and SQL. The data migration scheme provided by ShardingSphere can help be executed using ShardingSphere‐JDBC or ShardingSphere‐Proxy. Scenarios are used to test the supporting rules of ShardingSphere. Currently, data sharding and read/write splitting and other related scenarios
    0 码力 | 523 页 | 4.51 MB | 1 年前
    3
  • pdf文档 Apache ShardingSphere 5.4.1 Document

    also supports sharding based on multiple fields. Sharding Algorithm Algorithm for sharding data, supporting =, >=, <=, >, <, BETWEEN and IN. The sharding algorithm can be implemented by the developers themselves above problems and supports data sharding and horizontal scale‐out, while at the same time, also supporting distributed transactions and SQL. The data migration scheme provided by ShardingSphere can help be executed using ShardingSphere‐JDBC or ShardingSphere‐Proxy. Scenarios are used to test the supporting rules of ShardingSphere. Currently, data sharding and read/write splitting and other related scenarios
    0 码力 | 572 页 | 3.73 MB | 1 年前
    3
  • pdf文档 Apache ShardingSphere v5.5.0 document

    also supports sharding based on multiple fields. Sharding Algorithm Algorithm for sharding data, supporting =, >=, <=, >, <, BETWEEN and IN. The sharding algorithm can be implemented by the developers themselves above problems and supports data sharding and horizontal scale‐out, while at the same time, also supporting distributed transactions and SQL. The data migration scheme provided by ShardingSphere can help be executed using ShardingSphere‐JDBC or ShardingSphere‐Proxy. Scenarios are used to test the supporting rules of ShardingSphere. Currently, data sharding and read/write splitting and other related scenarios
    0 码力 | 602 页 | 3.85 MB | 1 年前
    3
  • pdf文档 Apache ShardingSphere 5.1.1 Document

    loss Decentralization Yes No Static Entry No Yes The advantages of ShardingSphere‐Proxy lie in supporting heterogeneous languages and providing op‐ erational entries for DBA. 3.1.3 Hybrid Adaptors ShardingSphere‐JDBC data OLTP problem first and complete relevant OLAP support problem little by little. SQL SQL Supporting Status Compatible with all regular SQL when routing to single data node; The SQL routing to multiple (you need to add git to environment variables) and execute the following command to allow git supporting log paths: git config --global core.longpaths true 7.8. FAQ 353 Apache ShardingSphere document
    0 码力 | 458 页 | 3.43 MB | 1 年前
    3
  • pdf文档 Apache ShardingSphere 5.1.2 Document

    loss Decentralization Yes No Static Entry No Yes The advantages of ShardingSphere‐Proxy lie in supporting heterogeneous languages and providing op‐ erational entries for DBA. Source Codes: https://github problem little by little. 4.3. Sharding 37 Apache ShardingSphere document, v5.1.2 SQL SQL Supporting Status Compatible with all regular SQL when routing to single data node; The SQL routing to multiple (you need to add git to environment variables) and execute the following command to allow git supporting log paths: git config --global core.longpaths true 7.8. FAQ 365 Apache ShardingSphere document
    0 码力 | 503 页 | 3.66 MB | 1 年前
    3
  • pdf文档 Apache ShardingSphere 5.0.0-alpha Document

    centralization Yes No Yes Static Entry No Yes No The advantages of ShardingSphere‐Proxy lie in supporting heterogeneous languages and providing op‐ erational entries for DBA. 4.2.3 Usage This chapter (you need to add git to environment variables) and execute the following command to allow git supporting log paths: git config --global core.longpaths true If we use windows 10, also need enable win32
    0 码力 | 311 页 | 2.09 MB | 1 年前
    3
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