Abstract: A computing device includes a computing device controller hub and a plurality of parallelized nodes coupled to the computing device controller hub. Each node of the plurality of parallelized nodes includes a central processing module, a main memory, and at least one disk memory. The plurality of computing devices is operable to collectively execute query requests against at least one database table stored by the plurality of computing devices based on each node of each computing device performing corresponding operations independently from other nodes of the plurality of parallelized nodes.

Abstract: A node includes a plurality of processing core resources. Each processing core resource of the plurality of processing core resources includes a corresponding processing module, a corresponding memory interface module, a corresponding memory device, and a corresponding cache memory. The plurality of processing core resources of the node is operable to collectively perform corresponding operations of the node. Each processing core resource of the plurality of processing core resources of the node is operable to perform operations independently from other ones of the plurality of processing core resources of the node.

Abstract: A node of a database system is operable to receive a plurality of data blocks. Based on backlog detection data, at least one feedback data block is generated to be sent to the set of source nodes. Feedback relay node selection data selecting at least one of the plurality of nodes in the database system for facilitating routing of the at least one feedback data block from the node to at least one of the set of source nodes via a prioritized feedback communication mechanism is generated. The at least one feedback data block is sent to the at least one of the plurality of nodes selected in the feedback relay node selection data. The at least one of the plurality of nodes facilitates routing of the at least one feedback data block from the node via the prioritized feedback communication mechanism.

Abstract: A computing system is operable to generate a plurality of lines of coding blocks that includes a plurality of data blocks and a plurality of parity blocks. Each of the plurality of lines of coding blocks includes a corresponding subset of data blocks a corresponding subset of parity blocks. A set of segments of a segment group are generated to collectively include the plurality of lines of coding blocks. Different coding blocks of each of the plurality of lines of coding blocks are included within different ones of the set of segments, and the plurality of parity blocks are dispersed across all of the set of segments. The set of segments are stored via a plurality of nodes sets, where different segments of the set of segments are stored via memory resources of different node sets of the plurality of node sets.

Abstract: An analytics system is operable to receive a first plurality of query requests from a plurality of requesting entities. Query pricing scheme data is automatically generated based on the first plurality of query requests. A second plurality of query requests are received from the plurality of requesting entities. Query cost data is automatically generated for each of the second plurality of query requests by utilizing the query pricing scheme data. The query cost data for each of the second plurality of query requests is transmitted to a corresponding one of the plurality of requesting entities.

Abstract: A method includes receiving, by a first computing entity of a database system, a data set that is organized in rows and columns. The method further includes determining whether to partition the data set based on a parameter associated with the data set. When determining to partition the data set, the method includes determining partitioning parameters for the data set, and partitioning the data set into a plurality of data partitions in accordance with the partitioning parameters. The method further includes determining a first coding scheme for a first data partition and determining a first number of first raw data segments for a first segment group of the first partition based on the coding scheme. The method further includes dividing the first partition to produce the first number of first raw data segments for storage in the database system.

Abstract: A method includes determining a data set for storage that includes a plurality of uncompressed data slabs in accordance with a serialized data slab ordering. A storage data set that includes a plurality of compressed data slabs is created based on the data set in accordance with the serialized data slab ordering. Each compressed data slab of the plurality of compressed data slabs is generated from at least one corresponding uncompressed data slab of the plurality of uncompressed data slabs that includes a plurality of values based on generating compressed data for each compressed data slab based on the at least one corresponding uncompressed data slab, and generating compression information for each compressed data slab. The storage data set is stored via a plurality of computing devices.

Abstract: A method for execution by a record processing and storage system includes assigning each of a plurality of key space sub-intervals of a cluster key domain to a corresponding one of a plurality of processing core resources, and generating a plurality of segments from the set of records via the plurality of processing core resources. Each processing core resource in the plurality of processing core resources generates a subset of the plurality of segments by identifying a proper subset of the set of records based on having cluster key values included in a corresponding one of the plurality of key space sub-intervals, and by generating the subset of the plurality of segments to include the proper subset of the set of records.

Abstract: A query processing system is operable to determining a query pricing scheme and receive a query request from a requesting entity that indicates at least one query function for execution against a database system. Query cost data is generated based on the at least one query function by utilizing the query pricing scheme. The query cost data is transmitted to the requesting entity.

Abstract: A method includes determining a first set of query rules and receiving a query from a requesting entity. The first set of query rules is filtered to generate a proper subset of the first set of query rules by selecting only ones of the first set of query rules with parameter data comparing favorably to parameters of the query. Compliance data indicating whether the query complies with the first set of query rules is generated by determining whether the query complies with the proper subset of the first set of query rules. When the compliance data indicates the query complies with the first set of query rules, a query result is determined for the query and the query result is transmitted to the requesting entity. When the compliance data indicates the query does not comply with the first set of query rules, transmission of the query is foregone.

Abstract: A computing device of a database system includes a plurality of processing modules, a computing device operating system, and an application specific operating system. The application specific operating system includes at least one custom instruction set that configures operation of a configurable set of processing modules of the plurality of processing modules based on generating, for each processing module of the configurable set of processing modules, a corresponding configuration signal indicating a selected instruction set of either the computing device operating system or the application specific operating system. Each processing module of the configurable set of processing modules operates in accordance with the selected instruction set based on the corresponding configuration signal.

Abstract: A networked database management system (DBMS) is disclosed. In particular, the disclosed DBMS includes a plurality of nodes, one of which is elected as a designated leader. The designated leader is elected using a consensus algorithm, such as tabulated random votes, RAFT or PAXOS. The designated leader is responsible for managing open coding lines, and determining when to close an open coding line.

Abstract: A method for execution by one or more database storage nodes of a database management system includes obtaining a row of data that includes a plurality of columns. The method further includes generating a data confidence value for data within one or more columns of the plurality of columns. The method further includes storing the data confidence value in a memory of the database management system.

Abstract: A method includes generating a plurality of pages from a plurality of records received from a plurality of data sources. Deduplication of the plurality of pages is facilitated based on a plurality of page metadata of the plurality of pages based on, for the each page of the plurality of pages. A filtered set of potentially-intersecting pages is identified for each given page as a proper subset of the plurality of pages stored in the page storage system based on first comparison parameters, and an intersecting set of pages that include a row number intersection with the given page is identified as a proper subset of the filtered set of potentially-intersecting pages based on second comparison parameters. Records with records with row numbers included in row number intersections with other pages in the intersecting set of pages are removed from the each page.

Abstract: A database system is operable to determine a query operator execution flow that includes a plurality of operators for execution of a corresponding query against a database having a schema that includes a plurality of columns. The query operator execution flow is executed in conjunction with executing the corresponding query against the database based on generating a first plurality of data blocks of a multi-column data stream as first output of a first operator of the plurality of operators, where each data block of the multi-column data stream includes column values for each of the plurality of columns. Executing the query operator execution flow is further based on processing the multi-column data stream as input of a second operator of the plurality of operators serially after the first operator to generate a second plurality of data blocks as second output of the second operator.

Abstract: A method for execution by a node of a computing device includes: determining level assignment data indicating assignment to a subset of levels of a plurality of levels of a query execution plan, wherein the plurality of levels includes a lowest level, at least one inner level, and a highest level; determining a query for execution; determining a query discriminator number corresponding to the query; determining to process the query at one of the plurality of levels based on determining the one of the plurality of levels is included in the subset of levels; generating query resultant data by facilitating execution of at least one query operator of the query in accordance with the one of the plurality of levels; selecting one of a plurality of possible parent nodes in a sequentially higher one of the plurality of levels based on the query discriminator number; and sending the query resultant data to the one of the plurality of possible parent nodes for processing.

Abstract: A processing system of a node is operable to determine a query for execution and determine a set of segments that each include a corresponding set of rows required to execute the query. A first segment of the set of segments is determined to be processed as a virtual segment. A locally rebuilt set of rows corresponding to the first segment is generated by utilizing a recovery scheme based on determining the first segment is to be processed as a virtual segment. Execution of the query is facilitated by utilizing the locally rebuilt set of rows.

Abstract: A database system is operable to generate and a first plurality of column-formatted segments from a first plurality of rows. A query indicates parameters for generating a result set, and further indicating an instruction to store the result set. A query operator execution flow that includes a loading operator is generated. The query is executed based on accessing at least one of the first plurality of rows, processing the at least one of the first plurality of rows to generate a second plurality of rows as the result set, and executing the loading operator. At least one new column-formatted segment is from the second plurality of rows based on execution of the loading operator. The at least one new column-formatted segment is stored access in future query executions.

Abstract: A record processing and storage system is operable to receive a plurality of formatted record data. Each of the plurality of formatted record data includes a fixed-length batch section that includes a plurality of fixed-length row sections. Each of the plurality of fixed-length row sections includes at least one fixed-length data value at least one fixed-length offset value. Each of the plurality of formatted record data further includes a variable-length batch section that includes a plurality of variable-length row sections. Each of the plurality of variable-length row sections includes at least one variable-length data value, where the fixed-length offset value for the corresponding one of the plurality of records indicates an offset of the at least one variable-length data value in the each formatted record data. A plurality of pages that include the plurality of formatted record data are generated and stored in a page storage system.

Abstract: A record processing and storage system is operable to receive a plurality of row data that each indicate a batch number. Each of the plurality of row data is added to a pending row data pool. A plurality of pages is generated from the plurality of row data via a plurality of processing core resources. Each processing core resource in the plurality of processing core resources processing a corresponding subset of the plurality of row data by retrieving, in each time slice of a plurality of time slices, one row data from the pending row data pool with a most favorably ordered batch number of row data in the pending row data pool. Each processing core resource further processes the one row data in the in each time slice to participate in generation of at least one of the plurality of pages.