changes, or incorrect handling of operations such as paging, sorting, and aggregate grouping. Cross‐library transactions are also tricky for a distributed database cluster. Reasonable use of table splitting can effectively avoid the trouble caused by distributed transactions. In scenarios where cross‐library transactions cannot be avoided, some businesses might still be in the need to maintain transaction sharding key must be used for the association, otherwise, Cartesian product association or cross‐library association will occur, affecting query efficiency. For example, if the t_order table and t_order_item

changes, or incorrect handling of operations such as paging, sorting, and aggregate grouping. Cross‐library transactions are also tricky for a distributed database cluster. Reasonable use of table splitting can effectively avoid the trouble caused by distributed transactions. In scenarios where cross‐library transactions cannot be avoided, some businesses might still be in the need to maintain transaction sharding key must be used for the association, otherwise, Cartesian product association or cross‐library association will occur, affecting query efficiency. For example, if the t_order table and t_order_item

matching operations, for example: subQuery, BETWEEN, GROUP BY ⋯HAVING⋯; • Use shadow library function + sub‐library sub‐table function, some special SQL is not supported, please refer toSQL Usage Specification separated into differ‐ ent data sources. The write library is called the master library, and the read library is called the slave library. One master library can be configured with multiple slave libraries main library to ensure data consistency. 4. Spring namespace. 5. Hint‐based mandatory main library routing. Unsupported 1. Data synchronization between the master library and the slave library. 2.

separated into differ‐ ent data sources. The write library is called the master library, and the read library is called the slave library. One master library can be configured with multiple slave libraries subsequent read operations will be read from the main library to ensure data consistency. 4. Spring namespace. 5. Hint‐based mandatory main library routing. 4.1. ShardingSphere-JDBC 191 Apache ShardingSphere synchronization between the master library and the slave library. 2. Data inconsistency caused by the data synchronization delay of the master library and the slave library. 3. Double writing or multiple

• resourceMapping specifies the mapping relationship between the source database and the shadow library. You need to use the resource managed by RDL, please refer to resource • shadowAlgorithm can act separated into differ‐ ent data sources. The write library is called the master library, and the read library is called the slave library. One master library can be configured with multiple slave libraries main library to ensure data consistency. 4. Spring namespace. 5. Hint‐based mandatory main library routing. Unsupported 1. Data synchronization between the master library and the slave library. 2.

• resourceMapping specifies the mapping relationship between the source database and the shadow library. You need to use the resource managed by RDL, please refer to resource • shadowAlgorithm can act separated into differ‐ ent data sources. The write library is called the master library, and the read library is called the slave library. One master library can be configured with multiple slave libraries main library to ensure data consistency. 4. Spring namespace. 5. Hint‐based mandatory main library routing. Unsupported 1. Data synchronization between the master library and the slave library. 2.

required Mesos native library. Specify Mesos native library path by property -Djava. library.path. For instance, Mesos native libraries are under /usr/local/lib, so the property -Djava.library. path=/usr/local/lib

changes, or incorrect handling of operations such as paging, sorting, and aggregate grouping. Cross‐library transactions are also tricky for a distributed database cluster. Reasonable use of table splitting can effectively avoid the trouble caused by distributed transactions. In scenarios where cross‐library transactions cannot be avoided, some businesses might still be in the need to maintain transaction sharding key must be used for the association, otherwise, Cartesian product association or cross‐library association will occur, affecting query efficiency. For example, if the t_order table and t_order_item

changes, or incorrect handling of operations such as paging, sorting, and aggregate grouping. Cross‐library transactions are also tricky for a distributed database cluster. Reasonable use of table splitting can effectively avoid the trouble caused by distributed transactions. In scenarios where cross‐library transactions cannot be avoided, some businesses might still be in the need to maintain transaction sharding key must be used for the association, otherwise, Cartesian product association or cross‐library association will occur, affecting query efficiency. For example, if the t_order table and t_order_item

ership”，不能正常运行 回答： Cloud Scheduler 依赖 Mesos 库，启动时需要通过 -Djava.library.path 指定 Mesos 库所在目录。 例如，Mesos 库位于 /usr/local/lib，启动 Cloud Scheduler 前需要设置 -Djava.library.path=/ usr/local/lib。 Mesos 相关请参考 Apache Mesos。 10