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    Scalable exactly-once data processing using transactional streaming writes
    2.
    发明授权
    Scalable exactly-once data processing using transactional streaming writes 有权

    公开(公告)号：US11573876B2

    公开(公告)日：2023-02-07

    申请号：US17085576

    申请日：2020-10-30

    Applicant: Google LLC

    Inventor： Pavan Edara ,  Reuven Lax ,  Yi Yang ,  Gurpreet Singh Nanda

    IPC: G06F11/14 ,  G06F11/30 ,  G06F9/30 ,  G06F9/46 ,  G06F11/07 ,  G06F12/02

    Abstract: A method for processing data exactly once using transactional stream writes includes receiving, from a client, a batch of data blocks for storage on memory hardware in communication with the data processing hardware. The batch of data blocks is associated with a corresponding sequence number and represents a number of rows of a table stored on the memory hardware. The method also includes partitioning the batch of data blocks into a plurality of sub-batches of data blocks. For each sub-batch of data blocks, the method further includes assigning the sub-batch of data blocks to a buffered stream; writing, using the assigned buffered stream, the sub-batch of data blocks to the memory hardware; updating a storage log with an intent to commit the sub-batch of data blocks using the assigned buffered stream; and committing the sub-batch of data blocks to the memory hardware.

    Scalable exactly-once data processing using transactional streaming writes
    3.
    发明授权
    Scalable exactly-once data processing using transactional streaming writes 有权

    公开(公告)号：US12259800B2

    公开(公告)日：2025-03-25

    申请号：US18391229

    申请日：2023-12-20

    Applicant: Google LLC

    Inventor： Pavan Edara ,  Reuven Lax ,  Ji Yang ,  Gurpreet Singh Nanda

    IPC: G06F11/14 ,  G06F9/30 ,  G06F9/46 ,  G06F11/07 ,  G06F11/30 ,  G06F12/02

    Abstract: A method for processing data exactly once using transactional stream writes includes receiving, from a client, a batch of data blocks for storage on memory hardware in communication with the data processing hardware. The batch of data blocks is associated with a corresponding sequence number and represents a number of rows of a table stored on the memory hardware. The method also includes partitioning the batch of data blocks into a plurality of sub-batches of data blocks. For each sub-batch of data blocks, the method further includes assigning the sub-batch of data blocks to a buffered stream; writing, using the assigned buffered stream, the sub-batch of data blocks to the memory hardware; updating a storage log with an intent to commit the sub-batch of data blocks using the assigned buffered stream; and committing the sub-batch of data blocks to the memory hardware.

    Scalable Exactly-Once Data Processing Using Transactional Streaming Writes
    4.
    发明申请
    Scalable Exactly-Once Data Processing Using Transactional Streaming Writes 有权

    公开(公告)号：US20220138071A1

    公开(公告)日：2022-05-05

    申请号：US17085576

    申请日：2020-10-30

    Applicant: Google LLC

    Inventor： Pavan Edara ,  Reuven Lax ,  Yi Yang ,  Gurpreet Singh Nanda

    IPC: G06F11/30 ,  G06F11/07 ,  G06F12/02 ,  G06F9/30 ,  G06F9/46

    Abstract: A method for processing data exactly once using transactional stream writes includes receiving, from a client, a batch of data blocks for storage on memory hardware in communication with the data processing hardware. The batch of data blocks is associated with a corresponding sequence number and represents a number of rows of a table stored on the memory hardware. The method also includes partitioning the batch of data blocks into a plurality of sub-batches of data blocks. For each sub-batch of data blocks, the method further includes assigning the sub-batch of data blocks to a buffered stream; writing, using the assigned buffered stream, the sub-batch of data blocks to the memory hardware; updating a storage log with an intent to commit the sub-batch of data blocks using the assigned buffered stream; and committing the sub-batch of data blocks to the memory hardware.

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