The present disclosure relates to systems and methods for matching electronic activities with record objects based on entity relationships. The method can include accessing a plurality of electronic activities, identifying an electronic activity, identifying a first participant associated with a first entity and a second participant associated with a second entity, determining whether a record object identifier is included in the electronic activity, identifying a first record object of the system of record that includes an instance of the record object identifier, and storing an association between the electronic activity and the first record object. The method can include determining a second record object corresponding to the second entity, identifying, using a matching policy, a third record object linked to the second record object and identifying a third entity, and storing, by the one or more processors, an association between the electronic activity and the third record object.

Provided herein are system, apparatus, device, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for generating an output indicating differences in the data stored in disparate data storage devices and/or for reconciling data stored in disparate data storage devices. In an embodiment, a server loads a first subset of a first set of data corresponding to one or more first columns and a second subset of a second set of data corresponding to one or more second columns into a data repository. The server identifies one or more differences between the first subset of data and the second subset of data in the data repository, and causes display of the one or more differences. The server may generate an output including the first and second sets of data, and a visual indicator indicating each of the one or more differences and causes display of the output.

An asynchronous accounting method for a blockchain is provided. After a block reaches a consensus, different types of data contained in block information of the block are written into message queues corresponding to the respective types of data. Each of the message queues correspond to a different one of the types of data contained in the block information. A next round of block consensus processing is started after the different types of data are written into the message queues corresponding to the respective types of data. The different types of data are read from the message queues corresponding to the respective types of data to perform persistence processing of a blockchain ledger.

A method for facilitating data synchronization across a plurality of platforms is provided. The method includes retrieving a change event, the change event corresponding to an event stream from a first platform; parsing the change event to identify a record and a data operation; examining a synchronization database to determine whether a corresponding record is persisted in a database of a second platform; inserting the record into the synchronization database when the corresponding record is not persisted in the platform, the inserted record including a change indicator; and updating, by using the synchronization database, the database of the second platform to include the record.

Techniques are provided for enforcing policies at a sub-logical unit number (LUN) granularity, such as at a virtual disk or virtual machine granularity. A block range of a virtual disk of a virtual machine stored within a LUN is identified. A quality of service policy object is assigned to the block range to create a quality of service workload object. A target block range targeted by an operation is identified. A quality of service policy of the quality of service policy object is enforced upon the operation using the quality of service workload object based upon the target block range being within the block range of the virtual disk.

A publish and subscribe architecture can be utilized to manage records, which can be used to accomplish the various functional goals. At least one template having definitions for managing production and consumption of data within an unconfigured group of computing resources is maintained. Records organized by topic collected from multiple disparate previously configured producers are utilized to initiate configuration of the unconfigured group of computing resources. Records within a topic are organized by a corresponding topic sequence. A first portion of the computing resources are configured as consumers based on the at least one template. The consumers to consume records at a pace independent of record production. A second portion of the computing resources are configured as producers based on the at least one template. The producers to produce records at a pace independent of record consumption.

Example embodiments facilitate orchestrating changes of data made (and/or actions specified for execution) in a client-side program with changes of corresponding data made in one or more server-side data objects. An example method includes structuring one or more worksheet relationships between one or more worksheets of a client-side spreadsheet in accordance with one or more data object relationships of one or more data objects of a server-side data structure; determining that one or more operations have been selected for performing on data of one or more of the worksheets; detecting user input operative to initiate performance of the one or more operations; and initiating implementation of the one or more operations (e.g., CRUD (Create, Read, Update, Delete) operations) in accordance with the one or more worksheet relationships and the one or more data object relationships (e.g., hierarchical relationships). A spreadsheet add-in may issue request messages to web services tasked with completing the one or more operations.

A data processing method, apparatus, and device based on a smart contract, and a storage medium can improve execution speed of a smart contract and reduce a running time. A contract call request used for executing a transaction service is acquired. An asynchronous variable statement corresponding to the asynchronous variable function name in a smart contract is also acquired. A first memory and a second memory associated with the first variable parameter are queried based on the first asynchronous variable statement. A data read request is transmitted to the first memory and a separate data read request is transmitted to the second memory in an asynchronous request manner indicated by the first asynchronous variable statement to obtain first to-be-read data and second to-be-read data used for executing the transaction service.

Techniques for monitoring local and/or remote file systems by a synchronization component (e.g., client/server) of a cloud-based platform are disclosed. In some embodiments, a method of building synchronization events by a synchronization component (e.g., a synchronization server/client) includes obtaining a set of items that have been changed and their new states and retrieving last known states of the set of items that are stored in a reference snapshot inside a filesystem scanner. The method further includes generating differences between the new states and the last known states of the set of items as item changes and utilizing information provided by the item changes to translate the item changes into synchronization events for execution on the opposing file system. A method of handling failed synchronization events by a synchronization component of the cloud-based platform by collapsing a subsequent event with the failed synchronization event is also disclosed.

System and method for managing copy-on-write (COW) B tree structures for metadata of storage objects stored in a storage system determine, when a request to modify a target storage object stored in the storage system that requires a modification of a target leaf node in a B tree structure for metadata of the target storage object is received, whether an operation sequence number of the target leaf node is greater than a snapshot sequence number of a parent snapshot of a running point of the B tree structure. When the operation sequence number is greater than the snapshot sequence number, the target leaf mode is modified in place without copying the target leaf node. When the operation sequence number is not greater than the snapshot sequence number, the target leaf node is copied as a new leaf node for the B tree structure and the new leaf node is modified.