International Business Machines Corporation

Gregg Andrew Upton

Austin Willoughby

Paul Michael Cadarette

Robert Daniel Love

Anil Venkatesh Varkhedi

Lawrence E Kirk

Charles Joseph Weigel, Iii

Shinji Satoh

A computer-implemented system and related method secures the access of a data object in a datastore by a remote system without user-specific credentials. The method comprises using a processor of a data resident operating system for verifying, using a security resource profile for the datastore, which access entity the remote system has access to, but without the user-specific credentials. The method also provides the security resource profile through a security application program interface (API) to the processor to determine whether access to the access entity should be allowed. The method allows the access to the data object by the remote system when the security resource profile exists and permits the access.

Container and resource access restriction

Compare processing using replication log-injected compare records includes receiving compare records from a source system having a source datastore in a replication relationship with a target datastore of a target system, the compare records corresponding to selected source objects of the source datastore, and the compare records being received in compare transaction(s) to be performed by the target system for determining whether data of the target datastore is consistent with the selected source objects, and commencing compare processing to perform the compare transaction(s), the compare processing including processing a compare record of the received compare records, which includes identifying a selected source object identified by the compare record, attempting to locate and read a corresponding target object of the target datastore, and further processing the compare record based on whether the corresponding target object is located and read by the attempting.

Compare processing using replication log-injected compare records in a replication environment

Data refresh in a replication environment is provided by: reading, by a data services component of a replication environment as part of a data refresh operation, a data store and identifying refresh data, from a source object of source objects of the data store, that is to be provided to a target system, where the data services component is further configured to read a replication log into which changes to source object(s) of the source objects are recorded, and send the changes as change data records to a capture service; and retrieving, by the data services component, the refresh data from the source object and sending the refresh data as refresh data records to the capture service, where the capture service is configured with data record handling routines for applying to received change data records and to the received refresh data records.

Data refresh in a replication environment

In-stream data load in a replication environment includes extracting source data from a source data store that is in a replication relationship with a target data store. A replication facility replicates to a target system changes made to the source data store. The replication facility includes a replication engine that reads a replication log into which the replication facility records the changes and sends the changes to the target system for application to the target data store. The extracting is performed by an extract utility separate from the replication engine. The in-stream data load also includes injecting, by the extract utility, the extracted source data into the replication log in-line with the changes recorded in the replication log by the replication facility and according to a format such that the replication engine can read and send the source data to the target system.

In-stream data load in a replication environment

Data replication conflict processing after structural changes to a database is provided by a method that includes identifying a structural change made to a database record of a database at a target site, recognizing, based at least in part on the structural change, a conflict in a replication operation to be performed at the target site to replicate, to the target site, change data from a source site, and performing conflict processing, the conflict processing including applying one or more modifications to the change data to comport with the structural change made to the database record of the database at the target site.

Data replication conflict processing after structural changes to a database

A method comprises packaging a plurality of mainframe software artifacts into a container image, wherein the plurality of mainframe software artifacts are created via installation of software on a first mainframe system using a mainframe installer configured for a first operating system. The method further comprises running a container, based on the container image, on a container distribution platform that uses a host operating system different from the first operating system; and executing one or more scripts within the container. The one or more scripts are configured to install and configure the packaged plurality of mainframe software artifacts onto a second mainframe system communicatively coupled to the container distribution platform, the second mainframe system running the first operating system.

Remote installation, customization and deployment of mainframe components

A method for matching format defining data structures with data-containing structures involves analyzing attributes of data-containing structures; analyzing format defining data structures using record level metrics comprising record level consistency values, record uninitialized data values and record match values; identifying a set of data-containing structures containing data elements having formats substantially corresponding to a format defining data structure and using file level metrics, based upon results of the record level metrics; ranking the set based upon correspondence between one or more of: a) data types within the set and data types within the format defining data structures, or b) values within the set and definitions within the format defining data structures, to obtain a subset that may correspond to at least one of the format defining data structures; and identifying a format defining data structure usable to access a data-containing structure and thereby obtain valid data therefrom.

Method for identifying correspondence between a COBOL copybook or PL/1 include file and a VSAM or sequential dataset

A computer system for matching format defining data structures with at least one data-containing structure of a group of potentially corresponding data-containing structures is disclosed. The system is made up of at least one processor, non-volatile storage, multiple data-containing structures and multiple format defining data structures. The processor will analyze attributes of at least some of the data-containing structures according to a set of validation rules to identify a set of potential candidate format defining data structures for potentially corresponding to the data-containing structures, analyze at least some of the multiple format defining data structures according to at least one of the validation rules to identify a set of candidate data-containing structures containing data elements having formats substantially corresponding to at least one of the format defining data structures, and rank the set based upon correspondence between one or more of data types or values.

System for identifying a correspondence between a COBOL copybook or PL/1 include file and a VSAM or sequential dataset

Provided are techniques for data stream switching. While accepting data change messages from a historical data stream, in response to determining that the end of the historical data stream is approaching, consumption from a real time data stream is resumed. In accepting data change messages from one of a historical data stream and a real time data stream, a data change message identifier (DCMID) for a data change message is obtained. Then, it is determined whether the data change message is from the real time data stream. In response to determining that the data change message is from the real time data stream, the DCMID is processed against a historical data structure to determine whether the related data change message has been seen in the historical data stream. In response to determining that the data change message is from the historical data stream, the DCMID is processed against a real time data structure to determine whether the related data change message has been seen in the real time data stream. It is determined whether a threshold for a number of DCMIDs that correspond to each other in the real time data stream and the historical data stream has been met. In response to determining that the threshold has been met, there is a switch from capturing data change messages in the historical data stream to capturing data change messages in the real time data stream.

Growing community of inventors

Santa Clara, CA, United States of America

Gregg Andrew Upton