Abstract: Embodiments of the present disclosure provide a network traffic flow control method and apparatus based on a distributed storage system, an electrical device, and a storage medium. The method includes: acquiring a transmission link for transmitting target data in response to a first data server in the distributed storage system receiving a transmission request for the target data; configuring a first priority parameter for the transmission link by the first data server according to the priority information of the business type to which the target data belongs; and in response to transmitting the target data through the transmission link, configuring a second priority parameter for the target data by the first data server according to the first priority parameter of the transmission link, so as to enable a data transmission device to allocate a network bandwidth to the target data according to the second priority parameter.

Abstract: The present disclosure relates to a method for managing cache data, an apparatus, a storage medium and an electronic device, the method includes: acquiring a remaining available space of a solid-state disk for storing cache data; upon the remaining available space being less than a first space threshold, determining a first target fragment group in the solid-state disk that has the greatest garbage proportion, each fragment group including a first number of fragments, and each fragment corresponding to a second number of contiguous logical address spaces in the solid-state disk; and purging the cache data in the first target fragment of the first target fragment group that has the greatest garbage proportion, with this method, the space utilization rate of the solid-state disk can be improved.

Abstract: Data processing methods and electronic device are provided in the present disclosure.

Abstract: A method, a device and a storage medium for detecting intrusion of a container environment. The method includes: performing event recognition on a real-time system event by calling an event recognition model corresponding to the target container, where the event recognition model is constructed based on a historical normal system event of the target container; in response to determining that the real-time system event is an abnormal system event, calling a predetermined intrusion detection rule to perform intrusion detection on the real-time system event, to determine whether the real-time system event is an intrusion event. Thus, a real-time system event that belongs to a normal system event may be filtered out, and a complete intrusion detection may be performed on the abnormal system event, thereby reducing the amount of data for intrusion detection, reducing resource occupation, and improving the performance and efficiency of the intrusion detection.

Abstract: According to the embodiments of the disclosure, a method, an apparatus, a device, and a storage medium for model performance evaluation are provided. The method includes obtaining an intention sample set and a pattern sample set for model attack, where the intention sample set includes one or more attack intention samples related to the model attack, and the pattern sample set includes one or more attack pattern samples for a model. A first test sample set is generated based on an attack intention sample included in the intention sample set and an attack pattern sample included in the pattern sample set, where a test sample in the first test sample set has an attack intention and an attack pattern. An evaluation result of an anti-attack performance of a target model is determined based on output data of the target model executing the first test sample set.

Abstract: The present disclosure relates to a data processing method, a medium and an electronic device for a database. The method includes: obtaining a first execution statement for performing a target operation; reading, when a data source corresponding to the first execution statement includes first data corresponding to a committed transaction and second data corresponding to an uncommitted transaction, a materialized view obtained after performing the target operation on the first data as a target materialized view from a pre-created materialized view set; reading the second data and performing the target operation on the second data to obtain operation result data; performing data merging processing on the target materialized view and the operation result data to obtain merged data; and performing the target operation on the merged data to obtain an execution result corresponding to the first execution statement.

Abstract: An information processing method, a computer device, and a storage medium are provided. The method includes: acquiring communication information to be processed; extracting a key information character of the communication information to be processed by using a programmable hardware unit of a data processor; and according to the key information character, determining whether there is matching target processing operation information in a generated character mapping table, a character mapping table is generated by the programmable software unit of the data processor according to historical key information characters of historical communication information and their corresponding historical processing operation information, and the target processing operation information includes at least one micro-service processing operation; if yes, executing the micro-service processing operation included in the target processing operation information for the communication information to be processed.

Abstract: The present application discloses a virtual column construction method based on data lake and a data query method. The present disclosure includes: first, automatically performing expression statistical analysis on a large quantity of statements to be analyzed in a data lake, so as to obtain an expression to be used; next, automatically constructing a virtual column construction request corresponding to the expression to be used, according to virtual column construction description information corresponding to the expression to be used, so that the virtual column construction request is used to request construction of a virtual column that can represent the expression to be used; then, according to the virtual column construction request, constructing a virtual column corresponding to the expression to be used, to enable the virtual column to represent the expression to be used.

Abstract: A database management system (DBMS) in an enclave for a data privacy preservation database is provided. The system includes a system catalog table, a logical log, and a DBMS engine. The engine is configured to parse the logical log based on a request to retrieve the logical log to detect at least one predetermined identifier, and to distribute the logical log. The engine is also configured, for each predetermined identifier being detected in the logical log, to determine an access control of the request with respect to a field of the data privacy preservation database corresponding to a record in the system catalog table, and to retrieve secret data corresponding to the field when the access control indicating a first access control status or mask the secret data corresponding to the field when the access control indicating a second access control status.

Abstract: The present disclosure relates to the field of network communication technologies and discloses a traffic scheduling method, an apparatus, a device, a storage medium, and a program product. The method includes: forwarding a domain name resolution request of a business application to a central domain name system, wherein the domain name resolution request carries a target domain name, and the central domain name system is configured to forward the domain name resolution request to a target egress gateway corresponding to the target domain name; receiving a first target network address and a gateway address of the target egress gateway that are fed back by the central domain name system; performing network address translation on the first target network address to obtain a virtual network address; and performing data transmission based on the virtual network address, the gateway address, and the first target network address.

Abstract: The present application discloses a health degree evaluation method of a software product. For a software product to be evaluated, a usage condition of using the software product to be evaluated by a client may represent a health degree of the software product to be evaluated. Therefore, when the health degree of the software product to be evaluated is evaluated, usage parameters for target clients to use the software product to be evaluated may be obtained, the usage parameters may represent the condition of usage by target clients of the software product to be evaluated, wherein the usage parameters may include at least two of a usage depth parameter, a usage breadth parameter and a usage frequency parameter. After the usage parameters is obtained, the health degree of the software product to be evaluated may be determined according to the usage parameters.

Abstract: The present disclosure provides a resource access control method, an apparatus, a medium, and an electronic device, the method is to acquire historical resource access information and historical security status information of a target object from a business system according to identity information of the target object, and determine access permission information of the target object for the target resource according to the historical resource access information and the historical security status information, and then send the access permission information to the business system, to enable the business system to determine the operation for the resource access request according to the access permission information.

Abstract: The present disclosure relates to a data display method and apparatus, a readable medium, and an electronic device. The method includes: displaying a data query page, the data query page is at least configured to display a chart according to queried data, a configuration panel is displayed on the data query page, and a preset configuration item for querying data and for a user to select is displayed on the configuration panel; in response to a trigger operation on a first intelligent object on the data query page, hiding the configuration panel and displaying a first intelligent object page; and in response to target information input on the first intelligent object page, querying data according to the target information to obtain target data, and displaying a first data chart according to the target data.

Abstract: Implementations for I/O efficient synchronization on a graph database are provided. One example includes a computing system comprising: processing circuitry and memory storing instructions that, during execution, causes the processing circuitry to: implement the graph database using at least: a read-write node and a read-only node operating in cache memory; and a shared storage for data persistence, wherein the shared storage stores a mapping table of the graph database; receive an update query; update the read-write node based on the update query; write, using the read-write node, a set of logs corresponding to the update query to a write-ahead log journal in the shared storage; and retrieve, using the read-only node, the set of logs from the write-ahead log journal.

Abstract: Embodiments of the present disclosure disclose a data processing method, an electronic device, and a computer-readable medium. And the data processing method includes: receiving a data query request for a first data processing engine; determining, in a front-end node, a target data processing engine based on the data query request, where computer programming languages used by the first data processing engine and a second data processing engine are different; and when the target data processing engine is the second data processing engine, performing data query on data stored in a target database by using a preset software development kit and calling a language conversion interface based on an offline query request in the second data processing engine, where the language conversion interface is configured to receive a query instruction in a second language and call a query instruction in a first language.

Abstract: The present application discloses a method, apparatus, device and medium for rendering page components. When a target page needs to be loaded, rendering data corresponding to at least one pending component in the target page is obtained, and a rendering request corresponding to the at least one pending component is added to a scheduling queue. A rendering request of a target pending component is read from the scheduling queue according to the position of the at least one pending component in the target page, and further the target rendering component is rendered according to rendering data corresponding to the target pending component in the rendering request. That is, when rendering components in a page, the rendering order between various components will be coordinated according to the position of the component in the page, thereby avoiding the problem of buffering when too many components are rendered at the same time.

Abstract: The present disclosure relates to the field of computer technology, and discloses a code generation method and apparatus, a computer device, and a storage medium. The method includes: obtaining a target generation position of a code to be generated; extracting context code information corresponding to the target generation position, and generating code prompt information matching the context code information; and inputting the code prompt information into a preset code generation model, and generating, by the preset code generation model, target code corresponding to the target generation position. The preset code generation model is pre-trained based on a prompt information sample.

Abstract: According to embodiments of the present disclosure, a solution for attack behavior detection is provided. A method includes: obtaining attack behavior data and non-attack behavior data, the attack behavior data being collected from at least one honeypot host, and the non-attack behavior data being collected from at least one user host; according to keywords in the non-attack behavior data and keywords in the attack behavior data, filtering keywords from the attack behavior data to generate at least one attack behavior detection rule, wherein each attack behavior detection rule comprises at least one keyword for characterizing an attack behavior; and performing attack behavior detection on a target user host based on the at least one attack behavior detection rule. In this way, it can achieve automated and efficient detection of unknown attack behaviors, and improve detection capability and accuracy of attack behaviors.

Abstract: The present disclosure relates to a data query method and apparatus based on online analytical processing, a medium, and a device. The method includes: obtaining a plurality of target join keys between query tables in a structured query statement in response to reception of the structured query statement; constructing a first factor graph corresponding to the structured query statement based on the plurality of target join keys, where a factor node in the first factor graph is used to represent a conditional probability distribution in the case of presence of the target join keys in a query table corresponding to the factor node; and estimating an upper limit value of a join cardinality of the structured query statement based on the first factor graph.

Abstract: A method and an apparatus for assessing a risk caused by improper use of a cluster data resource, an electronic device and a storage medium are provided. A high-risk diagnosis indicator in a storage assessment dimension and a high-risk diagnosis indicator in a computation assessment dimension are obtained. The amount of high-risk diagnosis indicators in the storage assessment dimension that are satisfied in the use process of the data storage resource and the amount of high-risk diagnosis indicators in the computation assessment dimension that are satisfied in the use process of the data computation resource are counted, and are recorded as high-risk indicator trigger quantities. Risk on the data storage resource is assessed based on the high-risk indicator trigger quantity in the storage assessment dimension, and risk on the data computation resource is assessed based on the high-risk indicator trigger quantity in the computation assessment dimension.