40results about How to "Reduce query pressure" patented technology

The invention discloses a domain name query processing method. The method comprises the steps of receiving domain name query request information and obtaining multiple pieces of domain name query request data comprising domain name bodies and domain name suffixes; grouping the obtained domain name query request data according to the domain name suffixes and carrying out batched asynchronous query on domain names in each domain name suffix group by taking a preset value as a unit; obtaining query interfaces corresponding to the domain name suffixes and query server addresses corresponding to the query interfaces from a configuration file; sending the domain name query request data with the same domain name suffixes to the corresponding query servers for domain name query, wherein the domain name query data take the preset value as the unit; and receiving and analyzing domain name query results returned by the query servers. According to the domain name query method provided by the invention, the domain name query times and the query pressure of the query servers are reduced, the query response time is accelerated, and moreover, a query success rate is improved.

The invention discloses a method for querying hot data. The method comprises the following steps that, firstly under a real-time monitoring system, a server end queries the hot data in advance, and the queried data is cached in the internal storage of the server end; when a client queries hot data, the server end can execute data query operation in a pre-cached data; a query result is returned to the client. According to the method, query efficiency and response speed of the client can be improved, and query pressure of a database is reduced.

The invention provides an information processing method and device, electronic equipment and a storage medium. The method comprises the following steps: monitoring a video deletion message, wherein the video deletion message carries a first user identifier and a first video identifier; after the video deletion message is monitored, inquiring whether the first Bloom filter stores the first user identifier or not, wherein the first Bloom filter is used for storing registered user identification; when the first user identifier is stored in the first Bloom filter, inquiring whether the first video identifier is stored in a second Bloom filter or not, wherein the second Bloom filter is used for storing a video identifier with video index information; and when the first video identifier is stored in the second Bloom filter, deleting video index information corresponding to the first video identifier from a database in which video index information is recorded. According to the method and the device, the processing burden of the database can be reduced, and the space occupation during video deletion message caching is reduced.

The invention provides a method and device for achieving a dynamic interface field. The method comprises the steps that request data sent by a requester are received, and request parameters are acquired according to the request data; field names corresponding to the request parameters are acquired and packaged in arrays; the arrays are constructed into return data in a dynamic splicing mode; the return data are sent to the requester. According to the method and device, corresponding return fields are provided for the request parameters of the requester, interface data size return is reduced, the data flow of an interface is reduced, and therefore the network transmission efficiency is improved. Meanwhile, at a calculating stage, query pressure on a database is reduced, the query speed is increased, and the efficiency of service execution is improved. The business development quantity of a service provider can also be reduced, and the interface maintainability is improved.

The invention discloses an informatization platform monitoring system and a construction method, and belongs to the field of micro-service architecture monitoring management design. The construction method of an informatization platform monitoring system comprises the following steps of establishing a micro-service architecture among subsystems by utilizing spring cloud; monitoring the operation health state of each subsystem, collecting the interface name of each subsystem when monitoring that each subsystem operates healthily, setting the access permission and frequency of the interface of each subsystem, and managing the interface data of each subsystem. An informatization platform monitoring system comprises a deployment module, a monitoring module and an interface use management module. According to the method and the system, the access permission and times of the interface are customized according to the requirements of the system, and the access permission and times of the interface of each subsystem are effectively managed, so that the potential safety hazard that the interface is illegally and maliciously accessed is effectively reduced.

The invention discloses an information pushing method and device. The method comprises the steps that after a process instance flows to a current node, acquiring node information of the current node,wherein the node information at least comprises an event type; determining a target monitor based on the event type; and pushing information through the target monitor. According to the invention, thetechnical problems of poor timeliness, low high availability and complex system interaction of cross-system flow processing in related technologies are solved.

The invention provides a data query method and device, electronic equipment and a computer readable storage medium. The method comprises the following steps of performing data aggregation processing on a basic materialized view to create a plurality of polymerized views; and under the condition that a data query request for the basic materialized view is received, determining a first materializedview supporting the data query request from the basic materialized view and the plurality of polymerized views, and performing data query in the first materialized view. Compared with the prior art, the method can reduce the query pressure and shorten the query time, and thereby query efficiency is improved.

The embodiment of the invention provides a list query method, device and equipment, and the method comprises the steps: receiving a list query request for a to-be-queried list; querying a list Bloom index preset in a memory according to the list query request to determine whether the to-be-queried list is included in a list set in a target database or not; wherein the list Bloom index is a list Bloom index constructed for a list set in the target database; if not, returning a list query result; and if yes, performing query in the target database to determine whether the to-be-queried list is included in a list set in the target database, and returning a list query result. According to the scheme of the embodiment of the invention, the query pressure of the target database can be effectively reduced in list query, and the query request response is accelerated.

The invention discloses a data query method and device, and relates to the technical field of computers. The method comprises the steps that after a query request of a user terminal is received, analyzing the query request and determining a to-be-queried data model according to an analysis result; allocating a corresponding data acquisition thread to each to-be-queried data model; under the condition that all the arithmetic logics involved in the query request include a first arithmetic logic, evaluating whether the first arithmetic logic is embedded into a corresponding data acquisition thread or not, and embedding the first arithmetic logic into the corresponding data acquisition thread when an evaluation result meets a preset condition; executing a data acquisition subtask for the datamodel through the data acquisition thread; and integrating the data acquired by each data acquisition thread, and returning query result data obtained by integration to the user terminal. Through thesteps, the data query efficiency can be improved, and the database query pressure is reduced.

The invention discloses a production monitoring method and device, and relates to the technical field of computers. The method comprises the steps that in response to triggering of a timed task, incremental query is conducted on a first database, and an incremental query result is stored in a second database; after a query request is received, a server cache is queried according to the query request; and under the condition that the server cache does not have the query result corresponding to the query request, a second database is queried according to the query request so as to obtain the query result corresponding to the query request from the second database. Through the steps, the query pressure of the database server can be reduced, and the influence of repeated data query on the performance of the database server is avoided as much as possible.

The invention discloses a stem crop growth real-time data management method. When stem crop real-time data is created, if corresponding stem crop growth analysis data and stem crop growth environmentdata do not exist in the stem crop real-time data set, stem crop growth analysis data and stem crop growth environment data are created in the stem crop real-time data set; when the real-time data ofthe stem crops is inquired, the real-time data of the stem crops is directly inquired from the real-time data set of the stem crops; when the stem crop real-time data is updated, stem crop growth analysis data, stem crop growth environment data and synchronization time in the stem crop real-time data set are firstly updated, and then whether abnormal data exists in the updated stem crop growth analysis data and stem crop growth environment data or not is judged; and finally, the abnormal data is written into a database, and an early warning is given. And when the stem crop real-time data is deleted, the stem crop real-time data is directly deleted from the stem crop real-time data set.

The invention relates to the technical field of big data, and discloses a data query method based on Redis and HBase and related equipment, and the method comprises the steps: carrying out index querythrough Redis according to a query condition to obtain a first target row key, sending the first target row key to a client according to a request identifier, wherein the first target row key comprises non-primary key information of HBase; receiving a target query row key sent by the client through the HBase, and sending the target query row key to the Zookeeper, wherein the target query row keyis determined according to the first target row key; determining a target data position according to the target query row key through a Zookeeper, and sending the target data position to the HBase; and performing data query according to the target data position through the HDFS to obtain target data corresponding to the target query row key, and sending the target data to the client. Therefore, the real-time high-concurrency query requirement of large-batch data is met.

The invention discloses a distributed log condition query method and system based on a cuckoo filter, which comprises the following steps of: acquiring a condition query request sent by a client, performing data query in a pre-constructed hot database according to the condition query request, and judging whether the total amount of queried data is lower than the data amount corresponding to the condition query request or not; if yes, processing the condition query request to obtain an identification character string, taking the identification character string as a key (Key), and carrying out data query in the unpopular condition cache layer to judge whether a value (Value) corresponding to the key exists in the unpopular condition cache layer; if not, executing query operation in a pre-constructed cold database data sub-table according to the condition query request to obtain a condition query result, processing the condition query data result to generate a JSON character string, taking the identification character string as a key, taking the JSON character string as a value to form a key-value pair, and storing the key-value pair in the unpopular condition cache layer.