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11. 发明授权

US10706059B2 Background format optimization for enhanced SQL-like queries in Hadoop 有权
公开(公告)号：US10706059B2
公开(公告)日：2020-07-07
申请号：US15292053
申请日：2016-10-12
申请人： Cloudera, Inc.
发明人： Marcel Kornacker , Justin Erickson , Nong Li , Lenni Kuff , Henry Noel Robinson , Alan Choi , Alex Behm
IPC分类号： G06F16/2458 , G06F16/25 , G06F16/27 , G06F16/2453
摘要： A format conversion engine for Apache Hadoop that converts data from its original format to a database-like format at certain time points for use by a low latency (LL) query engine. The format conversion engine comprises a daemon that is installed on each data node in a Hadoop cluster. The daemon comprises a scheduler and a converter. The scheduler determines when to perform the format conversion and notifies the converter when the time comes. The converter converts data on the data node from its original format to a database-like format for use by the low latency (LL) query engine.

12. 发明申请

US20160275136A1 COLLECTING AND AGGREGATING LOG DATA WITH FAULT TOLERANCE 有权
标题翻译：收集和聚集日志数据与容错
公开(公告)号：US20160275136A1
公开(公告)日：2016-09-22
申请号：US15170824
申请日：2016-06-01
申请人： Cloudera, Inc.
发明人： Jonathan Ming-Cyn Hsieh , Henry Noel Robinson
IPC分类号： G06F17/30
CPC分类号： G06F17/30371 , G06F11/3476 , G06F11/3495 , G06F17/30575 , G06F2201/875 , H04L41/046 , H04L41/069 , H04L67/125
摘要： Systems and methods of collecting and aggregating log data with fault tolerance are disclosed. One embodiment includes, one or more devices that generate log data, the one or more machines each associated with an agent node to collect the log data, wherein, the agent node generates a batch comprising multiple messages from the log data and assigns a tag to the hatch. In one embodiment, the agent node further computes a checksum for the batch of multiple messages. The system may further include a collector device, the collector device being associated with a collector tier having a collector node to which the agent sends the log data; wherein, the collector determines the checksum for the hatch of multiple messages received from the agent node.
摘要翻译：公开了收集和聚合具有容错能力的日志数据的系统和方法。一个实施例包括生成日志数据的一个或多个设备，每个与代理节点相关联的一个或多个机器以收集日志数据，其中，代理节点生成包括来自日志数据的多个消息的批次，并将标签分配给舱口盖。在一个实施例中，代理节点还计算多个消息批次的校验和。所述系统还可以包括收集器设备，所述收集器设备与具有所述代理发送所述日志数据的收集器节点的收集器层相关联; 其中，收集器确定从代理节点接收的多个消息的填充的校验和。

13. 发明申请

US20160070760A1 DYNAMICALLY PROCESSING AN EVENT USING AN EXTENSIBLE DATA MODEL 有权
公开(公告)号：US20160070760A1
公开(公告)日：2016-03-10
申请号：US14942010
申请日：2015-11-16
申请人： Cloudera, Inc.
发明人： Jonathan Ming-Cyn Hsieh , Henry Noel Robinson
IPC分类号： G06F17/30
CPC分类号： G06F17/30516 , G06F17/30292 , H04L67/42
摘要： Systems and methods of dynamically processing an event using an extensible data model are disclosed. One embodiment includes, specifying attributes of the event in a data model; the data model being extensible to add properties to the event as the dataset is streamed from the source to the sink.

14. 发明申请

US20150095308A1 BACKGROUND FORMAT OPTIMIZATION FOR ENHANCED SQL-LIKE QUERIES IN HADOOP 有权
标题翻译：背景格式优化在HADOOP中增强的类似SQL的查询
公开(公告)号：US20150095308A1
公开(公告)日：2015-04-02
申请号：US14043753
申请日：2013-10-01
申请人： Cloudera, Inc.
发明人： Marcel Kornacker , Justin Erickson , Nong Li , Lenni Kuff , Henry Noel Robinson , Alan Choi , Alex Behm
IPC分类号： G06F17/30
CPC分类号： G06F17/30569 , G06F17/30283 , G06F17/30448 , G06F17/30463 , G06F17/30545 , G06F17/30595
摘要： A format conversion engine for Apache Hadoop that converts data from its original format to a database-like format at certain time points for use by a low latency (LL) query engine. The format conversion engine comprises a daemon that is installed on each data node in a Hadoop cluster. The daemon comprises a scheduler and a converter. The scheduler determines when to perform the format conversion and notifies the converter when the time comes. The converter converts data on the data node from its original format to a database-like format for use by the low latency (LL) query engine.
摘要翻译：用于Apache Hadoop的格式转换引擎，可在某些时间点将数据从原始格式转换为数据库格式，以供低延迟（LL）查询引擎使用。格式转换引擎包括安装在Hadoop集群中每个数据节点上的守护程序。守护进程包括调度器和转换器。调度程序确定何时执行格式转换，并在时间到来时通知转换器。转换器将数据节点上的数据从其原始格式转换为数据库状格式供低延迟（LL）查询引擎使用。

15. 发明授权

US11567956B2 Background format optimization for enhanced queries in a distributed computing cluster 有权
公开(公告)号：US11567956B2
公开(公告)日：2023-01-31
申请号：US16921640
申请日：2020-07-06
申请人： Cloudera, Inc.
发明人： Marcel Kornacker , Justin Erickson , Nong Li , Lenni Kuff , Henry Noel Robinson , Alan Choi , Alex Behm
IPC分类号： G06F16/2458 , G06F16/25 , G06F16/27 , G06F16/2453
摘要： A format conversion engine for Apache Hadoop that converts data from its original format to a database-like format at certain time points for use by a low latency (LL) query engine. The format conversion engine comprises a daemon that is installed on each data node in a Hadoop cluster. The daemon comprises a scheduler and a converter. The scheduler determines when to perform the format conversion and notifies the converter when the time comes. The converter converts data on the data node from its original format to a database-like format for use by the low latency (LL) query engine.

16. 发明申请

US20200334247A1 BACKGROUND FORMAT OPTIMIZATION FOR ENHANCED QUERIES IN A DISTRIBUTED COMPUTING CLUSTER 审中-公开
公开(公告)号：US20200334247A1
公开(公告)日：2020-10-22
申请号：US16921558
申请日：2020-07-06
申请人： Cloudera, Inc.
发明人： Marcel Kornacker , Justin Erickson , Nong Li , Lenni Kuff , Henry Noel Robinson , Alan Choi , Alex Behm
IPC分类号： G06F16/2458 , G06F16/25 , G06F16/27 , G06F16/2453
摘要： A format conversion engine for Apache Hadoop that converts data from its original format to a database-like format at certain time points for use by a low latency (LL) query engine. The format conversion engine comprises a daemon that is installed on each data node in a Hadoop cluster. The daemon comprises a scheduler and a converter. The scheduler determines when to perform the format conversion and notifies the converter when the time comes. The converter converts data on the data node from its original format to a database-like format for use by the low latency (LL) query engine.

17. 发明授权

US09817859B2 Collecting and aggregating log data with fault tolerance 有权
公开(公告)号：US09817859B2
公开(公告)日：2017-11-14
申请号：US15170824
申请日：2016-06-01
申请人： Cloudera, Inc.
发明人： Jonathan Ming-Cyn Hsieh , Henry Noel Robinson
IPC分类号： G06F11/00 , G06F17/30 , G06F11/34 , H04L12/24 , H04L29/08
CPC分类号： G06F17/30371 , G06F11/3476 , G06F11/3495 , G06F17/30575 , G06F2201/875 , H04L41/046 , H04L41/069 , H04L67/125
摘要： Systems and methods of collecting and aggregating log data with fault tolerance are disclosed. One embodiment includes, one or more devices that generate log data, the one or more machines each associated with an agent node to collect the log data, wherein, the agent node generates a batch comprising multiple messages from the log data and assigns a tag to the hatch. In one embodiment, the agent node further computes a checksum for the batch of multiple messages. The system may further include a collector device, the collector device being associated with a collector tier having a collector node to which the agent sends the log data; wherein, the collector determines the checksum for the hatch of multiple messages received from the agent node.

18. 发明申请

US20170032003A1 BACKGROUND FORMAT OPTIMIZATION FOR ENHANCED SQL-LIKE QUERIES IN HADOOP 审中-公开
标题翻译：背景格式优化在HADOOP中增强的类似SQL的查询
公开(公告)号：US20170032003A1
公开(公告)日：2017-02-02
申请号：US15292053
申请日：2016-10-12
申请人： Cloudera, Inc.
发明人： Marcel Kornacker , Justin Erickson , Nong Li , Lenni Kuff , Henry Noel Robinson , Alan Choi , Alex Behm
IPC分类号： G06F17/30
摘要： A format conversion engine for Apache Hadoop that converts data from its original format to a database-like format at certain time points for use by a low latency (LL) query engine. The format conversion engine comprises a daemon that is installed on each data node in a Hadoop cluster. The daemon comprises a scheduler and a converter. The scheduler determines when to perform the format conversion and notifies the converter when the time comes. The converter converts data on the data node from its original format to a database-like format for use by the low latency (LL) query engine.
摘要翻译：用于Apache Hadoop的格式转换引擎，可在某些时间点将数据从原始格式转换为数据库格式，以供低延迟（LL）查询引擎使用。格式转换引擎包括安装在Hadoop集群中每个数据节点上的守护程序。守护进程包括调度器和转换器。调度程序确定何时执行格式转换，并在时间到来时通知转换器。转换器将数据节点上的数据从其原始格式转换为数据库状格式供低延迟（LL）查询引擎使用。

19. 发明授权

US09361203B2 Collecting and aggregating log data with fault tolerance 有权
公开(公告)号：US09361203B2
公开(公告)日：2016-06-07
申请号：US14796812
申请日：2015-07-10
申请人： Cloudera, Inc.
发明人： Jonathan Ming-Cyn Hsieh , Henry Noel Robinson
IPC分类号： G06F11/00 , G06F11/34 , G06F17/30 , H04L12/24 , H04L29/08
CPC分类号： G06F17/30371 , G06F11/3476 , G06F11/3495 , G06F17/30575 , G06F2201/875 , H04L41/046 , H04L41/069 , H04L67/125
摘要： Systems and methods of collecting and aggregating log data with fault tolerance are disclosed. One embodiment includes, one or more devices that generate log data, the one or more machines each associated with an agent node to collect the log data, wherein, the agent node generates a batch comprising multiple messages from the log data and assigns a tag to the batch. In one embodiment, the agent node further computes a checksum for the batch of multiple messages. The system may further include a collector device, the collector device being associated with a collector tier having a collector node to which the agent sends the log data; wherein, the collector determines the checksum for the batch of multiple messages received from the agent node.

20. 发明授权

US09342557B2 Low latency query engine for Apache Hadoop 有权
标题翻译： Apache Hadoop的低延迟查询引擎
公开(公告)号：US09342557B2
公开(公告)日：2016-05-17
申请号：US13800280
申请日：2013-03-13
申请人： Cloudera, Inc.
发明人： Marcel Kornacker , Justin Erickson , Nong Li , Lenni Kuff , Henry Noel Robinson , Alan Choi , Alex Behm
IPC分类号： G06F17/30
CPC分类号： G06F17/30466 , G06F17/30442 , G06F17/30451 , G06F17/30463 , G06F17/30545 , G06F17/30569
摘要： A low latency query engine for APACHE HADOOP™ that provides real-time or near real-time, ad hoc query capability, while completing batch-processing of MapReduce. In one embodiment, the low latency query engine comprises a daemon that is installed on data nodes in a HADOOP™ cluster for handling query requests and all internal requests related to query execution. In a further embodiment, the low latency query engine comprises a daemon for providing name service and metadata distribution. The low latency query engine receives a query request via client, turns the request into collections of plan fragments and coordinates parallel and optimized execution of the plan fragments on remote daemons to generate results at a much faster speed than existing batch-oriented processing frameworks.
摘要翻译：用于APACHE HADOOP™的低延迟查询引擎，可在完成MapReduce的批处理时提供实时或接近实时的即席查询功能。在一个实施例中，低延迟查询引擎包括安装在HADOOP TM群集中的数据节点上的守护程序，用于处理查询请求以及与查询执行相关的所有内部请求。在另一实施例中，低延迟查询引擎包括用于提供名称服务和元数据分发的守护进程。低延迟查询引擎通过客户端接收查询请求，将请求转换为计划片段的集合，并协调远程守护程序上的计划片段的并行和优化执行，以比现有的面向批处理框架更快的速度生成结果。

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