Abstract: Embodiments of the present disclosure provide a method, apparatus, electronic device and storage medium for storing data. After target data is obtained, a first data feature of the target data is extracted, the first data feature representing a data volume of the target data; the target shard number is obtained based on the first data feature, the target shard number representing the number of storage units for storing target data; a corresponding storage engine is obtained based on the target shard number, and the target data is stored in the storage engines in shards. The matched target shard number is obtained based on the first data feature of the target data, and a corresponding storage engine for storage is obtained based on the target shard number.

Abstract: Embodiments of the present disclosure provide a method, apparatus, electronic device and storage medium for storing data. After target data is obtained, a first data feature of the target data is extracted, the first data feature representing a data volume of the target data; the target shard number is obtained based on the first data feature, the target shard number representing the number of storage units for storing target data; a corresponding storage engine is obtained based on the target shard number, and the target data is stored in the storage engines in shards. The matched target shard number is obtained based on the first data feature of the target data, and a corresponding storage engine for storage is obtained based on the target shard number.

Abstract: Techniques are disclosed for storing an arranging data in a database. A method includes a computer system storing, in a database, data indicative of a graph data structure having a plurality of nodes connected by a plurality of edges. The method further includes the computer system determining that a number of edges connected to a first node satisfies a threshold number. In response to the determining, the computer system may store an index in an index row associated with the first node. The index identifies a first row having first and second ranges of values stored in first and second rows, respectively. The values in the first and second rows correspond to edges connected to the first node. The values in the first and second ranges are usable to indicate properties of corresponding ones of the plurality of edges.

Abstract: Techniques are disclosed for storing an arranging data in a database. A method includes a computer system storing, in a database, data indicative of a graph data structure having a plurality of nodes connected by a plurality of edges. The method further includes the computer system determining that a number of edges connected to a first node satisfies a threshold number. In response to the determining, the computer system may store an index in an index row associated with the first node. The index identifies a first row having first and second ranges of values stored in first and second rows, respectively. The values in the first and second rows correspond to edges connected to the first node. The values in the first and second ranges are usable to indicate properties of corresponding ones of the plurality of edges.

Abstract: The method includes the following steps: step 1. obtaining NUMA topology information of a host machine, and monitoring virtual machine performance events by using a kernel PMU; step 2. implementing a greedy algorithm, and a scheduling decision is obtained; step 3. scheduling, according to the scheduling decision, a virtual CPU (VCPU) and a memory of a virtual machine; step 4. after the scheduling of the virtual machine is complete, redirecting to step 1 to continue performing performance monitoring of the virtual machine.

Abstract: The present invention discloses an apparatus and a method for virtual machine scheduling in a non-uniform memory access (NUMA) architecture.