公开(公告)号：US20210182267A1

公开(公告)日：2021-06-17

申请号：US17105830

申请日：2020-11-27

Applicant: NETFLIX, INC.

Inventor： Andreas ANDREAKIS ,  Ioannis PAPAPANAGIOTOU

IPC: G06F16/23

Abstract: Various embodiments set forth systems and techniques for concurrent log and dump processing. The techniques include selecting, from a datastore, a chunk comprising one or more rows of data; comparing the one or more rows of data in the chunk with a first set of log events in a change log associated with the datastore, wherein each log event included in the first set of log events occurs after a first log event in the change log and prior to a second log event in the change log; selecting, based on the comparison, one or more non-conflicting rows in the chunk; and transmitting, to an output, one or more log events associated with the one or more non-conflicting rows in the chunk prior to processing a second set of log events in the change log, wherein the second set of log events occur after the second log event.

公开(公告)号：US20180060154A1

公开(公告)日：2018-03-01

申请号：US15394448

申请日：2016-12-29

Applicant: NETFLIX, INC.

Inventor： Vinay CHELLA ,  Ioannis PAPAPANAGIOTOU

IPC: G06F11/07 ,  H04L29/08

CPC classification number: H04L67/1097 ,  G06F11/34

Abstract: In various embodiments, a benchmarking engine automatically tests a data store to assess functionality and/or performance of the data store. The benchmarking engine generates data store operations based on dynamically adjustable configuration data. As the benchmarking engine generates the data store operations, the data store operations execute on the data store. In a complementary fashion, as the data store operations execute on the data store, the benchmarking engine generates statistics based on the results of the executed data store operations. Advantageously, because the benchmarking engine adjusts the number and/or type of data store operations that the benchmarking engine generates based on any changes to the configuration data, the workload that executes on the data store may be fine-tuned as the benchmarking engine executes.

公开(公告)号：US20220075886A1

公开(公告)日：2022-03-10

申请号：US17013288

申请日：2020-09-04

Applicant: NETFLIX, INC.

Inventor： Kishore Udayashankar KASI ,  Shailesh BIRARI ,  Prudhviraj KARUMANCHI ,  Vikram KRISHNAMURTHY ,  Ioannis PAPAPANAGIOTOU

IPC: G06F21/62 ,  G06F21/31 ,  G06F16/16 ,  G06F16/182

Abstract: Various embodiments of the present application set forth a computer-implemented method for accessing data comprising determining a manifest associated with a given user of an application, where the manifest identifies one or more assets that are accessible by the given user, for each of the one or more assets, one of a plurality of endpoint stores that stores data associated with the asset, and for each of the one or more assets, one of the plurality of endpoint stores that stores metadata associated with the asset, generating, based on the manifest, a user namespace that includes a unique reference for each of the one or more assets, and presenting the user namespace to the user.

公开(公告)号：US20170193031A1

公开(公告)日：2017-07-06

申请号：US14987649

申请日：2016-01-04

Applicant: NETFLIX, INC.

Inventor： Ioannis PAPAPANAGIOTOU ,  Shailesh BIRARI ,  Jason CACCIATORE ,  Minh DO ,  Christos KALANTZIS

IPC: G06F17/30 ,  H04L29/06 ,  G06F11/14

CPC classification number: G06F16/2365 ,  G06F11/1451 ,  G06F16/128 ,  G06F16/1744 ,  G06F16/178 ,  G06F2201/835 ,  G06F2201/84 ,  H04L63/0428

Abstract: In one embodiment, a data reconciliation engine works with data store nodes included in a distributed data store system to ensure consistency between the data store nodes. In operation, the data reconciliation receives a different data snapshot from each of the data store nodes. In response, the data reconciliation engine generates one or more recommendations designed to resolve inconsistencies between the data snapshots. The data reconciliation engine then transmits each recommendation to a different data store node. Because the data reconciliation engine performs many of the resource-intensive operations included in the data reconciliation process, the resources of the data store nodes may focus primarily on processing client requests instead of performing data reconciliation operations. Consequently, unlike conventional data store node based reconciliation applications, the data reconciliation engine may process large volumes of data without unacceptably increasing the time required for the distributed data store system to respond to client requests.

公开(公告)号：US20220276993A1

公开(公告)日：2022-09-01

申请号：US17745739

申请日：2022-05-16

Applicant: NETFLIX, INC.

Inventor： Andreas ANDREAKIS ,  Ioannis PAPAPANAGIOTOU

IPC: G06F16/23

Abstract: Various embodiments set forth systems and techniques for concurrent log and dump processing. The techniques include selecting, from a datastore, a chunk comprising one or more rows of data; comparing the one or more rows of data in the chunk with a first set of log events in a change log associated with the datastore, wherein each log event included in the first set of log events occurs after a first log event in the change log and prior to a second log event in the change log; selecting, based on the comparison, one or more non-conflicting rows in the chunk; and transmitting, to an output, one or more log events associated with the one or more non-conflicting rows in the chunk prior to processing a second set of log events in the change log, wherein the second set of log events occur after the second log event.

公开(公告)号：US20170353515A1

公开(公告)日：2017-12-07

申请号：US15379299

申请日：2016-12-14

Applicant: NETFLIX Inc.

Inventor： Ioannis PAPAPANAGIOTOU ,  Shailesh BIRARI ,  Jason CACCIATORE ,  Minh DO ,  Christos KALANTZIS

IPC: H04L29/06 ,  G06F17/30 ,  H04L12/861 ,  H04L29/08

Abstract: In various embodiments, a node manager configures a “new” node as a replacement for an “unavailable” node that was previously included in a distributed data store. First, the node manager identifies a source node that stores client data that was also stored in the unavailable node. Subsequently, the node manager configures the new node to operate as a slave of the source node and streams the client data from the source node to the new node. Finally, the node manager configures the new node to operate as one of multiple masters nodes in the distributed data store. Advantageously, by configuring the node to implement a hybrid of a master-slave replication scheme and a master-master replication scheme, the node manager enables the distributed data store to process client requests without interruption while automatically restoring the previous level of redundancy provided by the distributed data store.