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    Background format optimization for enhanced SQL-like queries in Hadoop
    2.
    发明授权
    Background format optimization for enhanced SQL-like queries in Hadoop 有权
    Hadoop中增强型SQL查询的背景格式优化

    公开(公告)号：US09477731B2

    公开(公告)日：2016-10-25

    申请号：US14043753

    申请日：2013-10-01

    Applicant: Cloudera, Inc.

    Inventor： Marcel Kornacker ,  Justin Erickson ,  Nong Li ,  Lenni Kuff ,  Henry Noel Robinson ,  Alan Choi ,  Alex Behm

    IPC: G06F17/30

    CPC classification number: G06F17/30569 ,  G06F17/30283 ,  G06F17/30448 ,  G06F17/30463 ,  G06F17/30545 ,  G06F17/30595

    Abstract: 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.

    Abstract translation: 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。

    Low latency query engine for apache hadoop
    3.
    发明授权
    Low latency query engine for apache hadoop 有权

    公开(公告)号：US09990399B2

    公开(公告)日：2018-06-05

    申请号：US15154727

    申请日：2016-05-13

    Applicant: Cloudera, Inc.

    Inventor： Marcel Kornacker ,  Justin Erickson ,  Nong Li ,  Lenni Kuff ,  Henry Noel Robinson ,  Alan Choi ,  Alex Behm

    IPC: G06F17/30

    CPC classification number: G06F17/30466 ,  G06F17/30442 ,  G06F17/30451 ,  G06F17/30463 ,  G06F17/30545 ,  G06F17/30569

    Abstract: 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.

    LOW LATENCY QUERY ENGINE FOR APACHE HADOOP
    4.
    发明申请
    LOW LATENCY QUERY ENGINE FOR APACHE HADOOP 有权

    公开(公告)号：US20170132283A1

    公开(公告)日：2017-05-11

    申请号：US15154727

    申请日：2016-05-13

    Applicant: Cloudera, Inc.

    Inventor： Marcel Kornacker ,  Justin Erickson ,  Nong Li ,  Lenni Kuff ,  Henry Noel Robinson ,  Alan Choi ,  Alex Behm

    IPC: G06F17/30

    CPC classification number: G06F17/30466 ,  G06F17/30442 ,  G06F17/30451 ,  G06F17/30463 ,  G06F17/30545 ,  G06F17/30569

    Abstract: 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.

    BACKGROUND FORMAT OPTIMIZATION FOR ENHANCED SQL-LIKE QUERIES IN HADOOP
    7.
    发明申请
    BACKGROUND FORMAT OPTIMIZATION FOR ENHANCED SQL-LIKE QUERIES IN HADOOP 有权
    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

    Applicant: Cloudera, Inc.

    Inventor： Marcel Kornacker ,  Justin Erickson ,  Nong Li ,  Lenni Kuff ,  Henry Noel Robinson ,  Alan Choi ,  Alex Behm

    IPC: G06F17/30

    CPC classification number: G06F17/30569 ,  G06F17/30283 ,  G06F17/30448 ,  G06F17/30463 ,  G06F17/30545 ,  G06F17/30595

    Abstract: 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.

    Abstract translation: 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。

    BACKGROUND FORMAT OPTIMIZATION FOR ENHANCED SQL-LIKE QUERIES IN HADOOP
    10.
    发明申请
    BACKGROUND FORMAT OPTIMIZATION FOR ENHANCED SQL-LIKE QUERIES IN HADOOP 审中-公开
    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

    Applicant: Cloudera, Inc.

    Inventor： Marcel Kornacker ,  Justin Erickson ,  Nong Li ,  Lenni Kuff ,  Henry Noel Robinson ,  Alan Choi ,  Alex Behm

    IPC: G06F17/30

    Abstract: 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.

    Abstract translation: 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。

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