Abstract: A multi-shard database system receives a transaction including multiple actions directed to different shards of the database system. The database system creates a transaction record including a transaction identifier and a transaction status for the transaction in a transaction database. The database system then executes, in parallel, the multiple actions on the different shards by associating with each data item involved in the transaction a data structure that includes the transaction identifier and new data to be applied to the data item. The database system then updates the transaction status in the transaction record for the transaction from pending to completed when each of the multiple actions is successfully executed on the corresponding shard. Consistency is eventually implemented when the data structures associated with the data items involved in the transaction are evaluated. The evaluation of a data structure can be triggered by a read request or other events.

Abstract: A multi-shard database system receives a transaction including multiple actions directed to different shards of the database system. The database system creates a transaction record including a transaction identifier and a transaction status for the transaction in a transaction database. The database system then executes, in parallel, the multiple actions on the different shards by associating with each data item involved in the transaction a data structure that includes the transaction identifier and new data to be applied to the data item. The database system then updates the transaction status in the transaction record for the transaction from pending to completed when each of the multiple actions is successfully executed on the corresponding shard. Consistency is eventually implemented when the data structures associated with the data items involved in the transaction are evaluated. The evaluation of a data structure can be triggered by a read request or other events.

Abstract: In an example, an analytic function to be performed on data stored in an input block is managed through an interface to a framework through which a user is to define the analytic function. The framework is to buffer batches of the data into a memory through implementation of a Reader, a Writer, a PreReader, and a PreWriter on the data stored in the input block when the user-defined analytic function is performed, and wherein the Reader, the Writer, the PreReader, and the PreWriter are individually movable with respect to each other in the input block. In addition, the user-defined analytic function is received through the interface.

Abstract: A multi-shard database system receives a transaction including multiple actions directed to different shards of the database system. The database system creates a transaction record including a transaction identifier and a transaction status for the transaction in a transaction database. The database system then executes, in parallel, the multiple actions on the different shards by associating with each data item involved in the transaction a data structure that includes the transaction identifier and new data to be applied to the data item. The database system then updates the transaction status in the transaction record for the transaction from pending to completed when each of the multiple actions is successfully executed on the corresponding shard. Consistency is eventually implemented when the data structures associated with the data items involved in the transaction are evaluated. The evaluation of a data structure can be triggered by a read request or other events.

Abstract: A multi-shard database system receives a transaction including multiple actions directed to different shards of the database system. The database system creates a transaction record including a transaction identifier and a transaction status for the transaction in a transaction database. The database system then executes, in parallel, the multiple actions on the different shards by associating with each data item involved in the transaction a data structure that includes the transaction identifier and new data to be applied to the data item. The database system then updates the transaction status in the transaction record for the transaction from pending to completed when each of the multiple actions is successfully executed on the corresponding shard. Consistency is eventually implemented when the data structures associated with the data items involved in the transaction are evaluated. The evaluation of a data structure can be triggered by a read request or other events.

Abstract: In an example, an analytic function to be performed on data stored in an input block is managed through an interface to a framework through which a user is to define the analytic function. The framework is to buffer batches of the data into a memory through implementation of a Reader, a Writer, a PreReader, and a PreWriter on the data stored in the input block when the user-defined analytic function is performed, and wherein the Reader, the Writer, the PreReader, and the PreWriter are individually movable with respect to each other in the input block. In addition, the user-defined analytic function is received through the interface.