Systems and methods for integration of multiple programming languages within a pipelined search query

    公开(公告)号:US11567735B1

    公开(公告)日:2023-01-31

    申请号:US17074280

    申请日:2020-10-19

    Applicant: SPLUNK Inc.

    Abstract: According to one embodiment, a method that supports queries deploying operators based on multiple programming languages is described. A sequence of operators associated with a query is identified, where the sequence of operators includes at least two neighboring operators including a first operator based on a first programming language and a second operator based on a second programming language that is different from the first programming language. Thereafter, a schema associated with the first operator and a schema associated with the second operator is determined along with the compatibility between the schema of the first operator and the schema of the second operator. A query error message is generated in response to incompatibility between the first operator schema and the second operator schema. Compatibility is determined when an output generated by execution of the first operator provides machine data needed as input for execution of the second operator.

    Efficiently executing commands at external computing services

    公开(公告)号:US11537951B2

    公开(公告)日:2022-12-27

    申请号:US17146339

    申请日:2021-01-11

    Applicant: SPLUNK INC.

    Abstract: Embodiments of the present invention are directed to facilitating distributed data processing for machine learning. In accordance with aspects of the present disclosure, a set of commands in a query to process at an external computing service is identified. For each command in the set of commands, at least one compute unit including at least one operation to perform at the external computing service is identified. Each of the at least one compute unit associated with each command is analyzed to identify an optimized manner in which to execute the set of commands at the external computing service. An indication of the optimized manner in which to execute the set of commands and a corresponding set of data is provided to the external computing service to utilize for executing the set of commands at the external computing service.

    Metric processing for streaming machine learning applications

    公开(公告)号:US12164522B1

    公开(公告)日:2024-12-10

    申请号:US17476323

    申请日:2021-09-15

    Applicant: Splunk Inc.

    Inventor: Lin Ma Frank Ye

    Abstract: An interface and improved data intake and query system is described herein that allows users to define metrics and that aggregates metric values regardless of the level at which a metric is defined and/or the level at which metric values are available. The improved data intake and query system can initialize a sketch in response to a user providing one or more metric definitions. The initialized sketch includes one or more instances, where each instance produces an output and collects metric value(s), appends the metric value(s) to the output, and forwards the appended data to a process function downstream in a data processing pipeline. The process function separates the output and the metric value(s), sending the output further downstream in the data processing pipeline and sending the metric value(s) to a parallel process function that sits outside the data processing pipeline. The parallel process function can persist the metric value(s).

    Distributed data processing for machine learning

    公开(公告)号:US10922625B2

    公开(公告)日:2021-02-16

    申请号:US15885395

    申请日:2018-01-31

    Applicant: Splunk Inc.

    Abstract: Embodiments of the present invention are directed to facilitating distributed data processing for machine learning. In accordance with aspects of the present disclosure, a set of commands in a query to process at an external computing service is identified. For each command in the set of commands, at least one compute unit including at least one operation to perform at the external computing service is identified. Each of the at least one compute unit associated with each command is analyzed to identify an optimized manner in which to execute the set of commands at the external computing service. An indication of the optimized manner in which to execute the set of commands and a corresponding set of data is provided to the external computing service to utilize for executing the set of commands at the external computing service.

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