Apache hive codebase

There is not a single "Hive format" in which data must be stored. Users can extend Hive with connectors for other formats. Hive is not designed for online transaction processing OLTP workloads. It is best used for traditional data warehousing tasks. Hive is designed to maximize scalability scale out with more machines added dynamically to the Hadoop clusterperformance, extensibility, fault-tolerance, and loose-coupling with its input formats.

The links below provide access to the Apache Hive wiki documents. This list is not complete, but you can navigate through these wiki pages to find additional documents.

Recent versions of Hive are available on the Downloads page of the Hive website. For each version, the page provides the release date and a link to the change log. If you want a change log for an earlier version or a development branchuse the Configure Release Notes page. Sometimes a version number changes before the release. For example:. Evaluate Confluence today. Apache Hive. Pages Blog. Space shortcuts How-to articles. Child pages. Browse pages. A t tachments 0 Page History.

Jira links. Release Number Original Number 1. No labels. Content Tools. Powered by Atlassian Confluence 7.This document defines the bylaws under which the Apache Hive project operates. It defines the roles and responsibilities of the project, who may vote, how voting works, how conflicts are resolved, etc.

Hive is a project of the Apache Software Foundation. The foundation holds the copyright on Apache code including the code in the Hive codebase. The foundation FAQ explains the operation and background of the foundation. Hive is typical of Apache projects in that it operates under a set of principles, known collectively as the 'Apache Way'.

Hive vs Impala - Comparing Apache Hive vs Apache Impala

If you are new to Apache development, please refer to the Incubator Project for more information on how Apache projects operate. Apache projects define a set of roles with associated rights and responsibilities. These roles govern what tasks an individual may perform within the project.

apache hive codebase

The roles are defined in the following sections. The most important participants in the project are people who use our software. The majority of our contributors start out as users and guide their development efforts from the user's perspective. Users contribute to the Apache projects by providing feedback to contributors in the form of bug reports and feature suggestions.

Also, users participate in the Apache community by helping other users on mailing lists and user support forums.

Scheduled queries

The project's Committers are responsible for the project's technical management. Committers have access to and responsibility for all of Hive's source code repository.

Committer access is by invitation only and must be approved by lazy consensus of the active PMC members. A Committer is considered emeritus by their own declaration or by not contributing in any form to the project for over six months. An emeritus committer may request reinstatement of commit access from the PMC which will be sufficient to restore him or her to active committer status. Commit access can be revoked by an unanimous vote of all the active PMC members except the committer in question if they are also a PMC member.

Significant, pervasive features are often developed in a speculative branch of the repository. The PMC may grant commit rights on the branch to its consistent contributors, while the initiative is active. Branch committers are responsible for shepherding their feature into an active release and do not cast binding votes or vetoes in the project. A committer who makes a sustained contribution to the project may be invited to become a member of the PMC. The form of contribution is not limited to code.

It can also include code review, helping out users on the mailing lists, documentation, etc. Submodule committers are committers who are responsible for maintenance of a particular submodule of Hive. Committers on submodules have access to and responsibility for a specified subset of Hive's source code repository. Committers on submodules may cast binding votes on any technical discussion regarding that submodule. Submodule committers are not directly created by the PMC.

When Hive adopts new code bases, for example by merging in an existing project, committers on that newly adopted code base become committers on the submodules that correspond to the new code base. The intention is that submodule committers will work towards becoming committers.

Submodule committers must be voted on by the PMC in the same way as other Hive contributors to become committers.

apache hive codebase

All rules that apply to committers regarding transitioning to emeritus status, revocation of commit rights, and having a signed Individual Contributor License Agreement apply to submodule committers as well. The responsibilities of the PMC include.Most of the keywords are reserved through HIVE in order to reduce the ambiguity in grammar version 1.

There are two ways if the user still would like to use those reserved keywords as identifiers: 1 use quoted identifiers, 2 set hive. It only changes the default parent-directory where new tables will be added for this database. This behaviour is analogous to how changing a table-directory does not move existing partitions to a different location. To revert to the default database, use the keyword " default " instead of a database name.

An error is thrown if a table or view with the same name already exists. See Alter Table below for more information about table comments, table properties, and SerDe properties.

By default Hive creates managed tables, where files, metadata and statistics are managed by internal Hive processes. For details on the differences between managed and external table see Managed vs.

External Tables. Hive supports built-in and custom-developed file formats. See CompressedStorage for details on compressed table storage.

The following are some of the formats built-in to Hive:. You can create tables with a custom SerDe or using a native SerDe. For more information on SerDes see:. You must specify a list of columns for tables that use a native SerDe. Refer to the Types part of the User Guide for the allowable column types. A list of columns for tables that use a custom SerDe may be specified but Hive will query the SerDe to determine the actual list of columns for this table.

To use the SerDe, specify the fully qualified class name org. A table can have one or more partition columns and a separate data directory is created for each distinct value combination in the partition columns. This can improve performance on certain kinds of queries.This document defines the bylaws under which the Apache Hive project operates.

It defines the roles and responsibilities of the project, who may vote, how voting works, how conflicts are resolved, etc. The foundation holds the copyright on Apache code including the code in the Hive codebase. Hive is typical of Apache projects in that it operates under a set of principles, known collectively as the 'Apache Way'. Apache projects define a set of roles with associated rights and responsibilities.

These roles govern what tasks an individual may perform within the project. The roles are defined in the following sections. The most important participants in the project are people who use our software.

The majority of our contributors start out as users and guide their development efforts from the user's perspective. Users contribute to the Apache projects by providing feedback to contributors in the form of bug reports and feature suggestions. Also, users participate in the Apache community by helping other users on mailing lists and user support forums. The project's Committers are responsible for the project's technical management. Committers have access to and responsibility for all of Hive's source code repository.

Committer access is by invitation only and must be approved by lazy consensus of the active PMC members. A Committer is considered emeritus by their own declaration or by not contributing in any form to the project for over six months. An emeritus committer may request reinstatement of commit access from the PMC which will be sufficient to restore him or her to active committer status. Commit access can be revoked by a unanimous vote of all the active PMC members except the committer in question if they are also a PMC member.

A committer who makes a sustained contribution to the project may be invited to become a member of the PMC. The form of contribution is not limited to code. It can also include code review, helping out users on the mailing lists, documentation, etc. Significant, pervasive features are often developed in a speculative branch of the repository. While the initiative is active the PMC may grant commit rights on the branch to its consistent contributors.

Branch committers are responsible for shepherding their feature into an active release and do not cast binding votes or vetoes in the project. Release candidates may not be made from speculative branches nor may they be based on child branches of speculative branches.

Unless stated otherwise branch committers are required to follow the the same rules as regular committers. Submodule committers are committers who are responsible for maintenance of a particular submodule of Hive. Committers on submodules have access to and responsibility for a specified subset of Hive's source code repository.

Committers on submodules may cast binding votes on any technical discussion regarding that submodule. Submodule committers are not directly created by the PMC. When Hive adopts new code bases, for example by merging in an existing project, committers on that newly adopted code base become committers on the submodules that correspond to the new code base. The intention is that submodule committers will work towards becoming committers. Submodule committers must be voted on by the PMC in the same way as other Hive contributors to become committers.

All rules that apply to committers regarding transitioning to emeritus status, revocation of commit rights, and having a signed Individual Contributor License Agreement apply to submodule committers as well.

The RM is responsible for building consensus around the content of the Release Candidate, in order to achieve a successful Product Release vote. The responsibilities of the PMC include. A PMC member is considered emeritus by their own declaration or by not contributing in any form to the project for over six months. An emeritus member may request reinstatement to the PMC, which will be sufficient to restore him or her to active PMC member.

Membership of the PMC can be revoked by an unanimous vote of all the active PMC members other than the member in question. The chair is an office holder of the Apache Software Foundation VicePresident, Apache Hive and has primary responsibility to the board for the management of the projects within the scope of the Hive PMC. The chair reports to the board quarterly on developments within the Hive project.By using our site, you acknowledge that you have read and understand our Cookie PolicyPrivacy Policyand our Terms of Service.

The dark mode beta is finally here. Change your preferences any time. Stack Overflow for Teams is a private, secure spot for you and your coworkers to find and share information. I expect this is sufficient for the requirements, because I didn't notice a requirement for total ordering of the final result set.

This is visible in the Hive codebase here:. Learn more. Asked 2 years, 9 months ago. Active 1 year ago. Viewed 5k times. Active Oldest Votes. Chris Nauroth Chris Nauroth 8, 1 1 gold badge 22 22 silver badges 32 32 bronze badges. Thanks Chris, but won't there be a problem with a larger data set? From what I can see Sort by or even Cluster by does not ensure Global ordering stackoverflow. No, Chris total ordering is not a requirement so indeed it suffices. Tutu Kumari Tutu Kumari 1 1 silver badge 8 8 bronze badges.

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apache hive codebase

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apache hive codebase

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Apache Hive TM

If nothing happens, download GitHub Desktop and try again. If nothing happens, download Xcode and try again. If nothing happens, download the GitHub extension for Visual Studio and try again. The library JAR is centered around the utility class org. The main responsibility of a model launcher class is to formalize the "public interface" of a PMML resource. A model launcher class must extend abstract Hive user-defined function UDF class org.

GenericUDF and provide concrete implementations for the following methods:. All in all, a typical model launcher class can be implemented in 15 to 20 lines of boilerplate-esque Java source code. This model is exposed in two ways. First, the model launcher class org. Second, the model launcher class org. Please contact [ info openscoring. Skip to content. This repository has been archived by the owner. It is now read-only. Dismiss Join GitHub today GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together.

Sign up. Java Branch: master. Find file. Sign in Sign up. Go back. Launching Xcode If nothing happens, download Xcode and try again. Latest commit Fetching latest commit…. Prerequisites Apache Hive version 0. GenericUDF and provide concrete implementations for the following methods: initialize ObjectInspector[]. Additional information Please contact [ info openscoring.

You signed in with another tab or window. Reload to refresh your session.GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together. If nothing happens, download GitHub Desktop and try again. If nothing happens, download Xcode and try again. If nothing happens, download the GitHub extension for Visual Studio and try again. Spark is a unified analytics engine for large-scale data processing.

It provides high-level APIs in Scala, Java, Python, and R, and an optimized engine that supports general computation graphs for data analysis. You can find the latest Spark documentation, including a programming guide, on the project web page. Spark is built using Apache Maven. To build Spark and its example programs, run:.

More detailed documentation is available from the project site, at "Building Spark". Spark also comes with several sample programs in the examples directory. To run one of them, use. For example:. You can also use an abbreviated class name if the class is in the examples package. For instance:. Testing first requires building Spark. Once Spark is built, tests can be run using:. Please see the guidance on how to run tests for a module, or individual tests.

Because the protocols have changed in different versions of Hadoop, you must build Spark against the same version that your cluster runs. Please refer to the build documentation at "Specifying the Hadoop Version and Enabling YARN" for detailed guidance on building for a particular distribution of Hadoop, including building for particular Hive and Hive Thriftserver distributions.

Please refer to the Configuration Guide in the online documentation for an overview on how to configure Spark. Please review the Contribution to Spark guide for information on how to get started contributing to the project. Skip to content. Dismiss Join GitHub today GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together. Sign up. Scala Branch: master. Find file. Sign in Sign up. Go back. Launching Xcode If nothing happens, download Xcode and try again.

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Apache hive codebase