Oracle International Corporation

Zhongtang Cai

Karl Dias

Jae Young Yoon

Leonidas Galanis

Konstantinos Morfonios

Kusumaharanadh Poduri

Benoit Dageville

Efstratios Papadomanolakis

Romain Colle

Rodney Graham

Bo Gong

Qinghui H Altmar

Mehmet Fidanboylu

Tom Hsu

Techniques for leveraging frequent patterns identified in a captured workload are provided. In one approach, multiple frequent patterns detected in a captured workload may be ordered by frequency to determine, for example, which patterns should be targeted for optimization. In another approach, a model of a captured workload is created, where the model comprises nodes that represent templates (which in turn correspond to requests) and edges that represent transitions between templates. The model is used to create an artificial workload, such as a workload that is twice as large as the originally-captured workload. The model may also be edited before creating the artificial workload. In another approach, workload models are compared to identify errors, regressions, or security issues. In another approach, an artificial workload is created for an application that is not yet deployed and then executed to determine whether the artificial workload or the originally-captured workload executed faster.

Applications of automated discovery of template patterns based on received requests

An application workload capture and replay system with a transactionally consistent application workload replay feature is provided. More particularly, the feature includes capture-phase components for capturing and recording a real application workload submitted to a production web application system and includes replay-phase components for replaying the captured application workload against a test web application system in a transactionally consistent manner. The feature provides guarantees about the order of database transactions that are caused when the workload is replayed such that there is a consistency between the replay-phase order of the database transactions and the order of those transactions that occurred when the workload was captured. These consistency guarantees facilitate a faithful reproduction of database changes observed in the production web application system in the test web application system using a captured real application workload. Significantly, this faithful reproduction may be accomplished without having to create a synthetic application workload that approximates or emulates the transactional behavior of the real application workload. Instead, a real application workload may be used as or substantially as it is captured.

Application workload capture and replay system

A database system providing transactionally consistent replay of application workloads. In a database system, a method providing transactionally consistent replay of application workloads comprises the steps of: during a replay phase in which a plurality of application requests that were previously submitted to an application server system during a capture phase are being replayed, receiving, at a database server, a database request to execute a database command against a database. The database request specifies an application request identifier that identifies a particular application request of the plurality of application requests. The particular application request caused the database command to be executed previously during the capture phase. In response to receiving the database request, determining, based on the application request identifier in the database request, whether to delay execution of the database command at least until a particular replay-phase database transaction has been committed.

Transactionally consistent replay of application workloads

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Zhongtang Cai