Abstract: In a computer-implemented method for improving performance of a database, a processor receives batch jobs for a relational database. The batch jobs may include a first member with a first buffer pool, and a second member with a second buffer pool. The processor may also identify a first actual object and an isolation level for the batch jobs, generate related queries based on the first actual object and the isolation level, calculate a cost for the first member and the second member to run the batch jobs based on the related queries, and assign the batch jobs to the first member based on a lower calculated cost.

Abstract: An approach is provided in which the approach segments each one of multiple components corresponding to multiple component levels in an SQL database system into multiple functions. The approach combines a first one of the multiple functions with a second one of the multiple functions into an image, and invokes the image to process an SQL query using the first function and the second function.

Abstract: The method of this disclosure includes identifying a hot area in an index tree where an index split of the index tree has occurred due to a previous data insertion into a database based on historical statistic information on the index split. The method of this disclosure may further include predicting boundary key values of one or more new index pages to be inserted into the index tree for a next data insertion into the database based on a distribution of the hot area in the index tree. The method of this disclosure may further include inserting the one or more new index pages into the index tree based on the predicted boundary key values prior to the next data insertion.

Abstract: A method of managing time series data workload requests includes receiving a workload job request from a user in a multi-tenant network, the request specifying a plurality of workloads, each workload including time series data configured to be stored in a time series database (TSDB), inputting workload information to a workload model that is specific to the user, and classifying each workload according to the workload model, the workload model configured to classify each workload based on a plurality of parameters, the plurality of parameters including at least a workload type and an amount of storage associated with each workload. The method also includes assigning each workload of the plurality of workloads into one or more workload groups based on the classifying, and executing each workload according to the workload type and the storage size.

Abstract: A computer-implemented method to estimate an execution time for large query batches. The method includes identifying a batch of queries, where the batch of queries where each query is configured to retrieve data from a database. Selecting a first query and generating an access path for the first query including one or more mini plans. Building a learning model for the one or more mini plans. Estimating an estimated execution time for each of the one or more mini plans. Adding each of the estimated execution times for each of the one or more mini plans to determine a first total estimated time for the first query. Displaying the first total estimated time.

Abstract: A computer-implemented method to transform and execute queries by merging sparsely populated columns. The method includes receiving, from a host, a first query configured to perform a command on one or more target columns in a database. The method further includes analyzing a set of statistics for the database. The method also includes determining, based on the analyzing, a first column of the one or more target columns is included in a set of sparse columns. The method includes generating a plurality of access plans for the first query, including a first access plan that merges the first column with a second column. The method further includes transforming, based on the first access plan, the first query to merge the first column with the second column. The method also includes executing, in response to the transforming of the first query, the first query.

Abstract: An approach is provided for optimizing a database buffer pool. Based on statistics about read and write operations in a range of pages, the range of pages is determined to be a candidate for a hot read range for which locks and latches are avoided in processing operations in the hot read range. Using an on-time trigger or pre-trigger process, the hot read range is created from the range of pages by marking start and end points in the range of pages. Write operation(s) are determined to be included in the hot read range by marking an object control block. The write operation(s) are added to a write pending list. The read operations in the hot read range are performed without a latch or lock. The write operation(s) are merged from the write pending list to the range of pages and the write operation(s) are performed.

Abstract: A system collects statistical data for a data page, divides the data page into parts, analyzes the data page and the statistical data, based on compression efficiency of one or more compression methods for each part of each page, to determine a compression method for each part of page, and compresses, based on the analyzing, the parts of the data page.

Abstract: Embodiments of the present invention relate to a method, system, and computer program product for multiplexing data operation. In some embodiments, a method is disclosed. A query for at least one table comprising a plurality of data records is received. The query indicating a plurality of data operations to be performed on the plurality of data records. The plurality of data operations are combined into a target data operation. An intermediate result of the query is generated by performing the target data operation on the plurality of data records. A final result of the query is determined based on the intermediate result. In other embodiments, a system and a computer program product are disclosed.

Abstract: A method, system, and computer program product to plan and schedule executions of various utility tasks of a utility command during a maintain window, the method including receiving a utility command. The method may also include identifying possible utility tasks used to execute the utility command. The method may also include determining preferred utility tasks. The method may also include calculating a degree of parallelism for the preferred utility tasks. The method may also include generating a utility execution plan for the utility command. The method may also include analyzing the utility execution plan against resource constraints of a time window and sub time windows of the time window. The method may also include generating a time window execution plan for each sub time window of the sub time windows. The method may also include updating the utility execution plan with the time window execution plans.

Abstract: An embodiment includes executing a querying process that returns database documents containing text associated with a database environment. The embodiment tokenizes the database documents into a series of n-gram tokens and groups the tokens into topic classes using natural language processing (NLP). The embodiment also generates a feature map by applying a convolution layer to an image that depicts a database structure graph of the database environment. The embodiment detects an architectural element in the image by applying a region proposal network (RPN) to the feature map and classifies the architectural element into one of the plurality of topic classes using a trained neural network. The embodiment renders, responsive to a user selection of the architectural element, an overlay depicting information about the architectural element using text and other architectural elements that are in a same topic class as the user-selected architectural element.

Abstract: Systems and methods for high availability distributed data storage are provided. In embodiments, a method includes: receiving, by a remote direct memory access (RDMA) switch operatively coupled to a computing device, a request to access a page of a database; determining, by the RDMA switch, a validation state of the page; determining, by the RDMA switch, a status of the page; updating, by the RDMA switch, the status of the page based on the validation state and the request; and reporting, by the RDMA switch, the validation state.

Abstract: A system, program product, and method for enhancing automatic multidimensional query processing. The method includes executing a database query including semi-joining a plurality of dimension tables with a fact table. The method also includes identifying for extraction one or more data values from each dimension table of the plurality of dimension tables. The data values from each dimension table of the plurality of dimension tables are associated with a respective record identification (RID), thereby defining one or more RIDs. The method further includes generating a plurality of RID lists. Each RID list of the plurality of RID lists includes a collection of the one or more RIDs for the respective dimension table. The method also includes merging the plurality of RID lists, sorting, subject to the merging, the plurality of RIDs as a function of data location, and fetching the data values from the fact table.

Abstract: A method includes receiving, by a computing device, a first transaction from a user device for a first version of a database record; generating, by the computing device, a bit for the database record; receiving, by the computing device, a second transaction from a second user device for a second version of the database record; locking, by the computing device, the database record; determining, by the computing device, a modification between the first version of the database record and the second version of the database record; and updating, by the computing device, the bit in response to the modification.

Abstract: A method includes: obtaining, by a database server, security policies associated with a database hosted by the database server; obtaining, by the database server, first database data associated with the database; creating, by the database server, a knowledge distillation model using the security policies and the first database data; obtaining, by the database server, second database data associated with the database; creating, by the database server, a classification model using the second database data and an output of the knowledge distillation model; receiving, by the database server, a client database request to the database; determining, by the database server, a new security policy rule set using the classification model; and applying, by the database server, the new security policy rule set to the client database request.

Abstract: A computer-implemented method for access path optimization is provided according to embodiments of the present disclosure. In the method, a plurality of real values of an access path factor may be collected during a specified time period. One of the real values may be generated when a query is executed on a first access path. Then, at least one second access path may be generated for the query based on the plurality of real values of the access path factor. Moreover, an optimal access path for the query may be identified from the first access path and the at least one second access path.

Abstract: Managing database operations is provided. The method comprises receiving an insert statement for a database and determining if the insert statement is for a batch insert operation or random insert operation. For a batch insert operation, responsive to determining a threshold number of specified leaf pages are missing from a memory buffer pool of the database, the database asynchronously pre-loads missing leaf pages from a corresponding index on disk into the memory buffer pool. For a random insert operation, responsive to determining a threshold number of specified leaf pages are missing from a memory buffer pool of the database, the database builds at least one memory cache index and inserts key values specified in the insert statement in the memory cache index. The memory cache index is merged with a corresponding index on disk.

Abstract: Systems and methods are provided to predict connection configurations in a distributed database environment. In embodiments, a method includes: building, by a computing device, a dynamic machine learning predictive model for a first new node connection in a distributed database environment based on configuration data of the first new node connection; determining, by the computing device, a group of nodes in the distributed database environment of a same type of node as the new node connection; federating, by the computing device, the dynamic machine learning predictive model of the first new node connection with other dynamic machine learning predictive models of other nodes in the group of nodes, thereby generating a federated predictive model for the same type of node; and generating, by the computing device, a predicted connection configuration for a second new node connection of the same type of node using the federated predictive model.

Abstract: A computer implemented system and method allow database performance testing and improvement. The method comprises using a database system (DBS) for embedding a virtual resource simulation system (VRSS) into a node of the DBS, loading a new configuration parameter of a database into the VRSS, receiving, by the VRSS from the DBS, an action control block (ACB), and dynamically activating and assigning a service task by a service task dispatcher of the VRSS to process the ACB. The method further comprises simulating a process of database execution based on a content of the ACB by creating a limited database internal data structure that is based on the ACB and the new configuration parameter, and manipulating the limited database internal structure to produce a simulation result. The method further comprises utilizing a metric associated with the simulation result of the new configuration parameter in the simulated process of database execution.

Abstract: A method, computer program product, and computer system for improving performance of a SQL execution sequence of SQL statements. The SQL execution sequence is recorded in an event log. Original results of executing the SQL statements and an original CPU cost of executing the SQL statements in accordance with the original access path are recorded in a logical log. A new access path is generated from analysis of the event log and the logical log. The SQL statements are executed in accordance with the new access path resulting in new results of executing the SQL statements including a new CPU cost of executing the SQL statements in accordance with the new access path. In response to a determination that the new results replicate the original results and that the new CPU cost is less than the original CPU cost, the original access path is replaced with the new access path.