Abstract: A horizontal computer numerical control (CNC) machining device for a crankshaft includes a horizontal machining workbench provided thereon with the crankshaft and a milling spindle adjusting device provided on a side of the horizontal machining workbench along a length direction of the crankshaft. A milling spindle is fixedly provided on the milling spindle adjusting device, and the milling spindle adjusting device includes an X-axis adjusting mechanism, a Y-axis adjusting mechanism, and a Z-axis adjusting mechanism, which are configured to adjust the spatial position of the milling spindle relative to the crankshaft. The horizontal machining workbench is provided thereon with a C-axis headstock configured to drive the crankshaft to rotate. The horizontal CNC machining device can mill on an outside diameter of a crankshaft or a diameter of an eccentric shaft, and can mill, drill, bore, or tap an outer surface of a workpiece through X, Y, and Z-axis feeding movement.

Abstract: An index update method, including: receiving an index update request, where the index update request is used to instruct to create or delete a target index that is associated with a field in a logic table of a tenant; updating metadata information of the logic table in a database in response to the index update request; notifying a coordination service, where the coordination service is used to notify a second data access node to perform a local synchronization update; and after all second data access nodes finish local synchronization updates, performing a data asynchronization update. After the metadata information is updated in the database, an index is updated in two steps. In a first step, a local synchronization update is performed. In a second step, after all data access nodes finish local synchronization updates, a data asynchronization update is performed.

Abstract: An index update method, including: receiving an index update request, where the index update request is used to instruct to create or delete a target index that is associated with a field in a logic table of a tenant; updating metadata information of the logic table in a database in response to the index update request; notifying a coordination service, where the coordination service is used to notify a second data access node to perform a local synchronization update; and after all second data access nodes finish local synchronization updates, performing a data asynchronization update. After the metadata information is updated in the database, an index is updated in two steps. In a first step, a local synchronization update is performed. In a second step, after all data access nodes finish local synchronization updates, a data asynchronization update is performed.

Abstract: An index update method, including: receiving an index update request, where the index update request is used to instruct to create or delete a target index that is associated with a field in a logic table of a tenant; updating metadata information of the logic table in a database in response to the index update request; notifying a coordination service, where the coordination service is used to notify a second data access node to perform a local synchronization update; and after all second data access nodes finish local synchronization updates, performing a data asynchronization update. After the metadata information is updated in the database, an index is updated in two steps. In a first step, a local synchronization update is performed. In a second step, after all data access nodes finish local synchronization updates, a data asynchronization update is performed.

Abstract: A query optimization method performed by a data access node includes: receiving a query request that is used to query tenant data; searching for a cached optimal query plan for the query request; if the optimal query plan is found, using the optimal query plan as a target query plan; or if no optimal query plan is found, generating a target query plan corresponding to the query request; and submitting the target query plan to a database, where the target query plan is used by the database to query the tenant data. Logical access (query request) is converted into a query plan (physical data access) by the data access node rather than a database node. In addition, the optimal query plan is used for query, so as to reduce a query cost as much as possible, and improve query performance.

Abstract: The present invention discloses a method and an apparatus for querying data in cross-shard databases. The method includes: receiving a query request; querying statistics information of respective shard databases in which two tables used in an association operation are located; sending, according to the statistics information and the query condition, a driving table query request to a shard database in which a driving table is located, and receiving a first query result set returned by the shard database in which the driving table is located; deduplicating association field values in the first query result set, and sending a result set delivery request and deduplicated association field values to a shard database in which the non-driving table is located; and sending a non-driving table query request to the shard database; and receiving a second query result set returned by the shard database. Efficiency of querying data in cross-shard databases is improved.

Abstract: A dual, imaging and radiation system provides for finely aligned movement of a subject through the use of a computer controlled mounting stage having separate, non-gantry translational and rotational controllable movement. The system cycles a subject tissue between a treatment position where radiation doses are applied and an imaging position where high-quality computed tomography (CT) imaging is performed. Selective dose profiles and dose depths are achievable around an isocenter of the system.

Abstract: Embodiments provide a data query method and apparatus. The method includes receiving a query request, where the query request includes a query condition, and the query condition relates to N different databases. The method also includes calculating a query cost of each cross-database join processing manner of M cross-database join processing manners, where the query cost of each cross-database join processing manner is a cost for performing, using each cross-database join processing manner, in the N different databases, data query corresponding to the query condition, and M is an integer greater than or equal to 2. The method also includes determining, in the M cross-database join processing manners, a cross-database join processing manner for current use according to the query cost of each cross-database join processing manner, and performing, using the cross-database join processing manner for current use, in the N different databases, data query corresponding to the query condition.