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.

Abstract: A data processing method, an apparatus, a device and a medium are provided.

Abstract: There are provided a method, device, and storage medium for processing a data table. The method includes: performing an equivalent join on a left table and a right table in two data tables that are to be joined by a hash join, and acquiring first associated data of an association between the left table and the right table; filtering the first associated data according to a predetermined non-equivalent filtering condition, and determining second associated data satisfying the predetermined non-equivalent filtering condition in the first associated data; identifying, in a predetermined data structure according to a target join type of the two data tables; and processing the left table and/or the right table according to the target join type of the two data tables and the predetermined data structure to generate a target join table.

Abstract: A structured query statement similarity detection method, a device and a medium are provided. The method includes: acquiring first and second structured query statements, and constructing corresponding first and second abstract syntax trees, a correlation degree between the root node in the abstract syntax tree and the query result of the statement being higher than a correlation degree between other nodes and the query result of the statement; traversing a node in the first abstract syntax tree, matching the traversed node with a node at a same level in the second abstract syntax tree, and obtaining a matching result of the node; and determining a statement similarity between the first structured query statement and the second structured query statement based on a matching result of a root node in the first abstract syntax tree, a matching result of a child node of the root node, and their corresponding weights.

Abstract: A full event tracking method and apparatus for pages, a computer device, and a storage medium are provided. A computer device may obtain Native pages of an application program of a mobile terminal and a system operating environment. The computer device may also detect a number of React Native pages included in the Native pages. In addition, the computer device may generate, based on the number of React Native pages and the system operating environment, a page view event tracking of entering the React Native page and a page leave event tracking of leaving the React Native page.

Abstract: The present disclosure provides a data reading method and device for a database and storage medium, which includes: receiving a query condition for a Value column in an LSM-Tree database; querying first alternative data with Value meeting the query condition from the LSM-Tree database; constructing a right table according to Key of the first alternative data, taking total data in the LSM-Tree database as a left table, and carrying out Semi Join based on the left table and the right table, so as to acquire second alternative data matched with each Key of the right table from the left table; querying target data with Value meeting the query condition from the second alternative data. The present disclosure can realize a predicate pushdown function of an LSM-Tree database in Merge-On-Read scene, in which, a large amount of data scanning is avoided while write performance and query performance are balanced.

Abstract: The present disclosure relates to a method and apparatus for baseline monitoring and alarming, a computer device, and a storage medium. The method includes: obtaining business operation-related data of all task instances on a target baseline; generating a baseline monitoring link graph according to the task instances and the corresponding business operation-related data; traversing the baseline monitoring link graph from a baseline margin water level, and determining a predicted completion time of a task instance according to a predicted start time of the task instance, an upstream dependency state of the task instance, and a historical running duration of the task instance in the baseline monitoring link graph; determining a margin value of the target baseline according to a commitment completion time and the predicted completion time set for the task instance; and determining whether to trigger alarm information for the target baseline.

Abstract: A database management system (DBMS) in an enclave for a data privacy preservation database is provided. The system comprising a DBMS engine configured to parse a database command for execution, set an access control status to a first status for a field of the data privacy preservation database when the parsed database command includes the field corresponding to a record in a system catalog table, and log the database command into a logical log. When the access control status is set to the first status and the database command includes a content of the field, the DBMS engine is further configured to log a predetermined identifier, an identification of the field, and a length of the content immediately before the content in the logical log.

Abstract: The present disclosure describes techniques for processing query predicates involving fine-grained privacy-preserving columns. A query predicate is received. It is determined whether there is a first match between identification information and operator information in a first row of a predicate catalog table and information associated with the query predicate. It is determined whether a value of a quantity limit in the first row is greater than zero in response to determining that there is the first match between the identification information and the operator information in the first row and the information associated with the query predicate. The query predicate is executed in response to determining that the value of the quantity limit in the first row is greater than zero. The value of the quantity limit in the first row is automatically reduced by one and the predicate catalog table is automatically updated.

Abstract: Embodiments of the present disclosure provide a method and apparatus for database query, an electronic device, and a medium. The method includes: determining, in response to receiving a structured query language (SQL) query for a database, a query condition and a target column of the SQL query that relates to a number of distinct values (NDV) estimation; selecting, from sampled data of the database, data of the target column that meets the query condition; generating feature data of the selected data of the target column; and determining an estimated NDV of the target column based on the feature data using a model for NDV estimation.

Abstract: A data storage control method, a device, and a storage medium are provided. The method includes: constructing an equipment room allocation model for a distributed storage system based on a dependency relationship between storage objects in the distributed storage system, the equipment room allocation strategy is used to indicate a target equipment room allocated to the storage object in the distributed storage system, and the migration evaluation result is used to indicate overheads caused by data transition processing of migration from an original equipment room to the target equipment room for storage; determining, based on the equipment room allocation model, an equipment room allocation strategy corresponding to a minimum migration evaluation result as a target equipment room allocation strategy; and performing data migration on the distributed storage system based on the target equipment room allocation strategy.