INFERRING INTRA PACKAGE AND MODULE DEPENDENCIES

    公开(公告)号:US20210173621A1

    公开(公告)日:2021-06-10

    申请号:US16703499

    申请日:2019-12-04

    Abstract: Herein are machine learning (ML) feature processing and analytic techniques to detect anomalies in parse trees of logic statements, database queries, logic scripts, compilation units of general-purpose programing language, extensible markup language (XML), JAVASCRIPT object notation (JSON), and document object models (DOM). In an embodiment, a computer identifies an operational trace that contains multiple parse trees. Values of explicit features are generated from a single respective parse tree of the multiple parse trees of the operational trace. Values of implicit features are generated from more than one respective parse tree of the multiple parse trees of the operational trace. The explicit and implicit features are stored into a same feature vector. With the feature vector as input, an ML model detects whether or not the operational trace is anomalous, based on the explicit features of each parse tree of the operational trace and the implicit features of multiple parse trees of the operational trace.

    In-Database Workflow Orchestration For Serverless Function

    公开(公告)号:US20250139082A1

    公开(公告)日:2025-05-01

    申请号:US18384808

    申请日:2023-10-27

    Abstract: The illustrative embodiments provide a framework for executing data-centric workflows within the database session, thus achieving workflow execution with no additional process creation, virtualization, or network overhead. The user-provided serverless functions that comprise the application workflow are compiled into native-image binary executables and deployed as stored procedures. Using native-image stored procedures greatly reduces memory and execution time overhead compared to traditional serverless computing frameworks. An application workflow is configured using workflow metadata, which specifies the native-image stored procedures that make up the application workflow and transaction boundaries at runtime. The framework ensures low overhead fault tolerance using run-to-completion and exactly-once semantics.

    Database modularization of pluggable guest languages

    公开(公告)号:US11531652B2

    公开(公告)日:2022-12-20

    申请号:US16556847

    申请日:2019-08-30

    Abstract: Herein are techniques that extend a software system to embed new guest programing languages (GPLs) that interoperate in a transparent, modular, and configurable way. In embodiments, a computer inserts an implementation of a GPL into a deployment of the system. A command registers the GPL, define subroutines for the GPL, generates a guest virtual environment, and adds a binding of a dependency to a guest module. In an embodiment, a native programing language invokes a guest programing language to cause importing intra- or inter-language dependencies. An embodiment defines a guest object that is implemented in a first GPL and accessed from a second GPL. In an embodiment, dependencies are retrieved from a virtual file system having several alternative implementation mechanisms that include: an archive file or an actual file system, and a memory buffer or a column of a database table.

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