Reassigning processing tasks to an external storage system

    公开(公告)号:US12248484B2

    公开(公告)日:2025-03-11

    申请号:US16657894

    申请日:2019-10-18

    Applicant: Splunk Inc.

    Abstract: Systems and methods are described for reducing execution time of a query that references external data systems. The system can determine an external data system is capable of processing one or more map or reduce phases of a map-reduce operation. When it is determined that the external data system can process a map or reduce phase, associated operations may be reassigned from the system to the external data system reducing the processing resources used by the system to response to the query and, in some cases, speeding up performance of the query.

    RECORD EXPANSION AND REDUCTION BASED ON A PROCESSING TASK IN A DATA INTAKE AND QUERY SYSTEM

    公开(公告)号:US20190258636A1

    公开(公告)日:2019-08-22

    申请号:US16397968

    申请日:2019-04-29

    Applicant: Splunk Inc.

    Abstract: Systems and methods are described for processing records associated with a query that identifies an association between two data fields. The system can obtain a chunk of data that includes multiple records based on a query received by a data intake and query system. At least one record can include multiple sub-records that share a field value for at least one field. The system can generate a record from each sub-record and assign the generated records to one or more groups of partitions. The system can combine record data of generated records assigned to one partition of a group of partitions and then combine record data across the group of partitions. The system can process the results of the combination of records across the group of partitions based on the query.

    Record expansion and reduction based on a processing task in a data intake and query system

    公开(公告)号:US11321321B2

    公开(公告)日:2022-05-03

    申请号:US16397968

    申请日:2019-04-29

    Applicant: Splunk Inc.

    Abstract: Systems and methods are described for processing records associated with a query that identifies an association between two data fields. The system can obtain a chunk of data that includes multiple records based on a query received by a data intake and query system. At least one record can include multiple sub-records that share a field value for at least one field. The system can generate a record from each sub-record and assign the generated records to one or more groups of partitions. The system can combine record data of generated records assigned to one partition of a group of partitions and then combine record data across the group of partitions. The system can process the results of the combination of records across the group of partitions based on the query.

    PARTITIONING AND REDUCING RECORDS AT INGEST OF A WORKER NODE

    公开(公告)号:US20190258637A1

    公开(公告)日:2019-08-22

    申请号:US16397970

    申请日:2019-04-29

    Applicant: Splunk Inc.

    Abstract: Systems and methods are described for partitioning and reducing records at ingest of a worker node. The worker node receives chunks of data from one or more indexers of a data intake and query system based on the execution of a query by the data intake and query system. The worker node assigns records to different record groups based on the content of the records. The system also assigns the record to a partition of a group of partitions. Record data of the records in a particular partition is combined. The system processes the partitions based on the query.

    REASSIGNING PROCESSING TASKS TO AN EXTERNAL STORAGE SYSTEM

    公开(公告)号:US20200050607A1

    公开(公告)日:2020-02-13

    申请号:US16657894

    申请日:2019-10-18

    Applicant: Splunk Inc.

    Abstract: Systems and methods are described for reducing execution time of a query that references external data systems. The system can determine an external data system is capable of processing one or more map or reduce phases of a map-reduce operation. When it is determined that the external data system can process a map or reduce phase, associated operations may be reassigned from the system to the external data system reducing the processing resources used by the system to response to the query and, in some cases, speeding up performance of the query.

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