International Business Machines Corporation

Jens Müller

Felix O Beier

Johannes S Kern

Vassil Radkov Dimov

Daniel Martin

Eirini Kalogeiton

Namik Hrle

Christian Wilhelm Paul Hoerst

Knut Stolze

Einar Lueck

Nicole Finnie

Sabine Perathoner-Tschaffler

Kevin Pelletier

According to one embodiment, a method, computer system, and computer program product for performing data synchronization between a source DBMS, comprising a trusted database, and a target DBMS, comprising an untrusted datastore and a trusted datastore, is disclosed. The present invention may include upon the source DBMS performing an update to an object in the trusted source database, sending the object change to a trusted data replication engine, encrypting the object change, sending the encrypted object change with a related decryption key to the target DBMS, upon receiving the encrypted object change and the related decryption key at the target DBMS, searching an object related to the object change in the untrusted target data store, identifying a decryption key for the searched object, replacing the identified decryption key by the received decryption key, and integrating the encrypted object change in encrypted form into the untrusted target data store.

Restricting data access to target databases

The present disclosure relates to a method for enabling access to data of a data analysis system by a set of one or more external database systems. The data analysis system comprises a source database system and target database system. The data analysis system is configured for synchronizing the data in the source database system with the target database system using a primary source transaction log in the source database system. The method comprises: creating a secondary transaction log. Data changes applied at the target database system may be received from the target database system. At least one log entry that represents each received data change may be creating in the secondary transaction log. The secondary transaction log may be used by the set of external database systems for applying data changes according to the secondary transaction log, thereby storing the data in the set of external database systems.

Access to data of a data analysis system by external database systems

In an approach, a processor receives a data manipulation request on a target database. A processor sends the data manipulation request to a source database. The source database attempts to persist a data manipulation action relating to the data manipulation request. Responsive to a successful attempt to persist the data manipulation action: the source database sends a log position of the data manipulation action to a data replication engine; a processor replicates the data manipulation request triggering the data manipulation action in the target database; and a processor confirms to the target database that the data manipulation action in the target database has been completed.

Bidirectional data replication with wait for data function

Creating at a target database system, a target table and a history table each having a set of attributes of a source table in addition to at least one time attribute, wherein the time attribute of a record indicates the time when the record is valid. Receiving a request for applying a change of the source table to the target table. The request comprises a time value generated by the source database system indicating a time of the change. The change to the target table and the time value may be assigned to the time attribute of the current version and previous version of the record. The previous version of the record may be stored in the history table. The target table and the history table may be used to process a redirected query comprising a selection criterion on the time attribute.

Maintaining at a target database system a copy of a source table of a source database system

The invention relates to computer-implemented method for updating a target table with changes introduced into a source table. New data records are stored into partitions of the source table. An incremental update module copies the new data records from the source table into the target table, thereby assigning a new target partition ID contained within a first value domain to each copied data record. A view specifies a set of visible partition IDs as a union of the first value domain and of a current target partition ID set and allows the execution of database queries selectively on target table partitions having assigned a target partition ID that is element of the visible partition ID set. A batch update module performs an atomic batch update operation that comprises copying partitions of the source table into a respective new partition in the target table.

Updating a table using incremental and batch updates

The present disclosure relates to a method for processing queries in a database system having a first database engine and a second database engine. The method includes: storing a first instance of a first table in the first database engine in plaintext; encrypting at least one predefined column of the first table, resulting in a second instance of the first table containing at least part of the data of the first table in encrypted format. The second instance of the first table in the second database engine is stored in the second database engine. It may be determined whether to execute a received query in the first database engine on the first table or in the second database engine on the second instance of the first table, where the determination involves a comparison of the query with encryption information.

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Stuttgart, Germany

Jens Müller