Oracle International Corporation

Striim, Inc.

Alok Pareek

Scott Roger Corbin

Eric Ian Fish

Juan R Loaiza

Wei Ming Hu

Avinash Dubey

Shenoda Guirguis

Stephen Wilkes

Ali Kutay

Steve Wilkes

Mahadevan Lakshminarayanan

Vinay H Srihari

J William Lee

Dmitry Mikhailovich Potapov

Arvind Nithrakashyap

Francisco Sanchez

Alexander Hwang

Shen-Ban Meng

Sami Akbay

Amit Ganesh

Tirthankar Lahiri

Roger J Bamford

Wei-Ming Hu

Gary C Ngai

Bipul Sinha

William Bridge

Vikram Joshi

Mark Dilman

Manish Agarwal

Michael James Stewart

Sreedhar Mukkamalla

Steven Wertheimer

Wanli Yang

Tudor Bosman

Joel Shepherd

Lego Haryanto

Nicholas Keene

Chris McAllister

Swapna Ratnani

Jennifer Wei

Dmitry Rudakov

Andrei Lessiv

Lawrence HinLuen To, Jr

Vijayakrishna Nadimpalli

Bhushan Khaladkar

Ali R Kutay

A system and method for providing transactional data privacy while maintaining data usability, including the use of different obfuscation functions for different data types to securely obfuscate the data, in real-time, while maintaining its statistical characteristics. In accordance with an embodiment, the system comprises an obfuscation process that captures data while it is being received in the form of data changes at a first or source system, selects one or more obfuscation techniques to be used with the data according to the type of data captured, and obfuscates the data, using the selected one or more obfuscation techniques, to create an obfuscated data, for use in generating a trail file containing the obfuscated data, or applying the data changes to a target or second system.

System and method for real-time transactional data obfuscation

A system and method for transferring data between different types of systems, and in particular uses log-based replication to transfer data between different types of systems. In accordance with an embodiment, the system can be used to perform a one-time or initial copy of the MySQL data from a source database system to a target database system, and/or to replicate the on-going transactions captured from a MySQL database's binary log into one or additional non-MySQL database(s) on a continuous basis, such that the two systems are synchronized for transactions of interest. In accordance with an embodiment, full or partial data changes can be extracted from the MySQL binary log, optionally transformed, skipped or augmented, output or written to a file, and then applied at any of one or more target systems (e.g. another MySQL database, or a non-MySQL database), thereby synchronizing the source and target systems.

Log based data replication from a source database to a target database

A machine has a processor and a memory connected to the processor. The memory stores instructions executed by the processor to receive data from a data source that continuously generates records, selectively identify conditions within the data that satisfy specified rules, and report the conditions prior to routing the data to a message system node forming a segment of a distributed transaction log with messages persisted in non-volatile memory and replicated within a cluster of nodes.

Data stream processor with both in memory and persisted messaging

A method implemented in a computer network includes identifying a transactional change data capture event at a transactional database. A transaction event stream is created with metadata characterizing the transactional change data capture event. A replication change data capture event is identified at a replication database corresponding to the transactional database. A replication event stream with metadata characterizing the replication change data capture event is created. The transaction event stream and the replication event stream are evaluated to selectively identify a replication performance failure within a specified time threshold of the replication performance failure.

Apparatus and method for data replication monitoring with streamed data updates

A computer is programmed to identify failures and perform recovery of data. Specifically, in several embodiments, the computer is programmed to automatically check integrity of data in a storage structure to identify a set of failures related to the storage structure. The computer is further programmed in some embodiments to identify, based on one failure in the set of failures, a group of repairs to fix that one failure. Each repair in the group of repairs is alternative to another repair in the group. The computer is also programmed in some embodiments to execute at least one repair in the group of repairs, so as to generate corrected data to fix the one failure. In certain embodiments, the corrected data is stored in non-volatile storage media of the computer.

Data recovery advisor

A method includes receiving first data from a first data source that continuously generates a first set of records with first common fields. The first data is filtered by selecting a first sub-set of fields of the first common fields to form first filtered data. Second data is received from a second data source that continuously generates a second set of records with second common fields. The second data is filtered by selecting a second sub-set of fields of the second common fields to form second filtered data, where the first filtered data and the second filtered data are generated simultaneously. Rules are applied to the first filtered data and the second filtered data in real-time to identify selected real-time events. The selected real-time events are reported prior to persistently storing the first filtered data, the second filtered data and the selected real-time events.

Apparatus and method for pipelined event processing in a distributed environment

Log-base data replication from a source database to a target database

A computer readable storage medium includes executable instructions to read source node transaction logs to capture transaction data, including local transaction data, global transaction identifiers and participating node data. The global transaction identifiers and participating node data are stored in target node queues. The target node queues are accessed to form global transaction data. Target tables are constructed based upon the local transaction data and the global transaction data.

Apparatus and method for log based replication of distributed transactions using globally acknowledged commits

Stored data are transported between different systems having different platforms by converting the format of the stored data into a common format either before or after transmitting the stored data from the source database system to the target database system. The common format may be a format that is universal in that the common format is not machine dependent. The stored data may be kept in the common format at the target database system and never converted to another format. Optionally, the stored data may be converted from the common format to a format associated with the target database system, thereby facilitating backward compatibility. A tool may be provided for performing the conversion.

Cross platform transportable tablespaces

MYSQL database heterogeneous log based replication

A method of processing data includes identifying a capture redo byte address, initiating a capture process at the capture redo byte address, creating a clone of a source database to a logical change number, and initiating an apply process at a target database.

Apparatus and method for creating a real time database replica

A computer readable storage medium includes executable instructions to receive a specification for requested data in a log based replication system where data changes are retrieved from both a transaction log and a database. It is determined that the requested data is compromised. A search for a data image containing the requested data is initiated. The data image is accessed to secure the requested data. The requested data is returned.

Apparatus and method for read consistency in a log mining system

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Brisbane, CA, United States of America

Alok Pareek