Abstract: Methods for page split detection and affinity in query processing pushdowns are performed by systems and devices. Page servers perform pushdown operations based on specific, and specifically formatted or generated, information, instructions, and data provided thereto from a compute node. Page servers also determine that page splits have occurred during reading of data pages maintained by page servers during pushdown operations, and also during fulfillment of compute node data requests. To detect a data page has split, page servers utilize information from a compute node of an expected next data page which is compared to a next data page in the page server page index. A mismatch in the comparison by page servers indicates data page was split. Compute nodes and page servers store and maintain off-row data generated during data operations via page affinity considerations where the off-row data is stored at the same page server as the data.

Abstract: Distributed database systems including compute nodes and page servers are described herein that enable compute nodes to pushdown certain query processing compute tasks to the page servers to take advantage of otherwise idle compute resources at the page servers, and to reduce the quantity of data that moves between compute nodes and page servers. A distributed database system includes a page server and a compute node, wherein the page server is configured to maintain multiple versions of stored data objects. The compute node is configured to receive a query and generate a transaction context (TC) and modified table schemas (MTS) scoped to the query, and pushdown the query, TC and MTS to the page server that is configured to determine which data objects at the page server satisfy the query, and for each such object, which version of the object should be returned based on the TC.

Abstract: Distributed database systems including compute nodes and page servers are described herein that enable compute nodes to pushdown certain query processing compute tasks to the page servers to take advantage of otherwise idle compute resources at the page servers, and to reduce the quantity of data that moves between compute nodes and page servers. A distributed database system includes a page server and a compute node, wherein the page server is configured to maintain multiple versions of stored data objects. The compute node is configured to receive a query and generate a transaction context (TC) and modified table schemas (MTS) scoped to the query, and pushdown the query, TC and MTS to the page server that is configured to determine which data objects at the page server satisfy the query, and for each such object, which version of the object should be returned based on the TC.

Abstract: Methods for operation fragmentation with metadata serialization in query processing pushdowns are performed by systems and devices. A compute node receives a query directed to database data, and generates query text fragments. Portions of metadata of the database are read from different page servers, and are serialized by the compute node. Page identities of data pages in a page server that stores the data are determined from a page index at the compute node, and the compute node provides the text fragments, the serialized metadata, and the page identities to the page server storing the data. The page server compiles the text fragments based on the serialized metadata to generate an executable query plan for the query. The page server initializes and performs execution of the executable query plan against the data as a pushdown query operation, and a result of pushdown query operation is provided to the compute node.

Abstract: Methods for operation fragmentation with metadata serialization in query processing pushdowns are performed by systems and devices. A compute node receives a query directed to database data, and generates query text fragments. Portions of metadata of the database are read from different page servers, and are serialized by the compute node. Page identities of data pages in a page server that stores the data are determined from a page index at the compute node, and the compute node provides the text fragments, the serialized metadata, and the page identities to the page server storing the data. The page server compiles the text fragments based on the serialized metadata to generate an executable query plan for the query. The page server initializes and performs execution of the executable query plan against the data as a pushdown query operation, and a result of pushdown query operation is provided to the compute node.

Abstract: Methods for page split detection and affinity in query processing pushdowns are performed by systems and devices. Page servers perform pushdown operations based on specific, and specifically formatted or generated, information, instructions, and data provided thereto from a compute node. Page servers also determine that page splits have occurred during reading of data pages maintained by page servers during pushdown operations, and also during fulfillment of compute node data requests. To detect a data page has split, page servers utilize information from a compute node of an expected next data page which is compared to a next data page in the page server page index. A mismatch in the comparison by page servers indicates data page was split. Compute nodes and page servers store and maintain off-row data generated during data operations via page affinity considerations where the off-row data is stored at the same page server as the data.

Abstract: Methods for operation fragmentation with metadata serialization in query processing pushdowns are performed by systems and devices. A compute node receives a query directed to database data, and generates query text fragments. Portions of metadata of the database are read from different page servers, and are serialized by the compute node. Page identities of data pages in a page server that stores the data are determined from a page index at the compute node, and the compute node provides the text fragments, the serialized metadata, and the page identities to the page server storing the data. The page server compiles the text fragments based on the serialized metadata to generate an executable query plan for the query. The page server initializes and performs execution of the executable query plan against the data as a pushdown query operation, and a result of pushdown query operation is provided to the compute node.

Abstract: Distributed database systems including compute nodes and page servers are described herein that enable compute nodes to pushdown certain query processing compute tasks to the page servers to take advantage of otherwise idle compute resources at the page servers, and to reduce the quantity of data that moves between compute nodes and page servers. A distributed database system includes a page server and a compute node, wherein the page server is configured to maintain multiple versions of stored data objects. The compute node is configured to receive a query and generate a transaction context (TC) and modified table schemas (MTS) scoped to the query, and pushdown the query, TC and MTS to the page server that is configured to determine which data objects at the page server satisfy the query, and for each such object, which version of the object should be returned based on the TC.