{"id":16641191,"url":"https://github.com/suminb/hive","last_synced_at":"2026-04-19T23:32:33.521Z","repository":{"id":44526340,"uuid":"216415695","full_name":"suminb/hive","owner":"suminb","description":"Fork of https://git-wip-us.apache.org/repos/asf/hive.git","archived":false,"fork":false,"pushed_at":"2023-01-02T21:55:11.000Z","size":148110,"stargazers_count":0,"open_issues_count":20,"forks_count":0,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-03-12T04:42:51.109Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Java","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/suminb.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2019-10-20T19:28:03.000Z","updated_at":"2020-03-05T08:43:22.000Z","dependencies_parsed_at":"2023-02-01T04:45:41.994Z","dependency_job_id":null,"html_url":"https://github.com/suminb/hive","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/suminb/hive","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/suminb%2Fhive","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/suminb%2Fhive/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/suminb%2Fhive/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/suminb%2Fhive/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/suminb","download_url":"https://codeload.github.com/suminb/hive/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/suminb%2Fhive/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32026619,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-18T20:23:30.271Z","status":"online","status_checked_at":"2026-04-19T02:00:07.110Z","response_time":55,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-10-12T07:45:44.816Z","updated_at":"2026-04-19T23:32:33.342Z","avatar_url":"https://github.com/suminb.png","language":"Java","funding_links":[],"categories":[],"sub_categories":[],"readme":"Apache Hive (TM)\n================\n[![Master Build Status](https://travis-ci.org/apache/hive.svg?branch=master)](https://travis-ci.org/apache/hive/branches)\n[![Maven Central](https://maven-badges.herokuapp.com/maven-central/org.apache.hive/hive/badge.svg)](http://search.maven.org/#search%7Cga%7C1%7Cg%3A%22org.apache.hive%22)\n\nThe Apache Hive (TM) data warehouse software facilitates reading,\nwriting, and managing large datasets residing in distributed storage\nusing SQL. Built on top of Apache Hadoop (TM), it provides:\n\n* Tools to enable easy access to data via SQL, thus enabling data\n  warehousing tasks such as extract/transform/load (ETL), reporting,\n  and data analysis\n\n* A mechanism to impose structure on a variety of data formats\n\n* Access to files stored either directly in Apache HDFS (TM) or in other\n  data storage systems such as Apache HBase (TM)\n\n* Query execution using Apache Hadoop MapReduce, Apache Tez\n  or Apache Spark frameworks.\n\nHive provides standard SQL functionality, including many of the later\n2003 and 2011 features for analytics.  These include OLAP functions,\nsubqueries, common table expressions, and more.  Hive's SQL can also be\nextended with user code via user defined functions (UDFs), user defined\naggregates (UDAFs), and user defined table functions (UDTFs).\n\nHive users have a choice of 3 runtimes when executing SQL queries.\nUsers can choose between Apache Hadoop MapReduce, Apache Tez or\nApache Spark frameworks as their execution backend. MapReduce is a\nmature framework that is proven at large scales. However, MapReduce\nis a purely batch framework, and queries using it may experience\nhigher latencies (tens of seconds), even over small datasets. Apache\nTez is designed for interactive query, and has substantially reduced\noverheads versus MapReduce. Apache Spark is a cluster computing\nframework that's built outside of MapReduce, but on top of HDFS,\nwith a notion of composable and transformable distributed collection\nof items called Resilient Distributed Dataset (RDD) which allows\nprocessing and analysis without traditional intermediate stages that\nMapReduce introduces.\n\nUsers are free to switch back and forth between these frameworks\nat any time. In each case, Hive is best suited for use cases\nwhere the amount of data processed is large enough to require a\ndistributed system.\n\nHive is not designed for online transaction processing. It is best used\nfor traditional data warehousing tasks.  Hive is designed to maximize\nscalability (scale out with more machines added dynamically to the Hadoop\ncluster), performance, extensibility, fault-tolerance, and\nloose-coupling with its input formats.\n\n\nGeneral Info\n============\n\nFor the latest information about Hive, please visit out website at:\n\n  http://hive.apache.org/\n\n\nGetting Started\n===============\n\n- Installation Instructions and a quick tutorial:\n  https://cwiki.apache.org/confluence/display/Hive/GettingStarted\n\n- A longer tutorial that covers more features of HiveQL:\n  https://cwiki.apache.org/confluence/display/Hive/Tutorial\n\n- The HiveQL Language Manual:\n  https://cwiki.apache.org/confluence/display/Hive/LanguageManual\n\n\nRequirements\n============\n\n- Java 1.7 or 1.8\n\n- Hadoop 1.x, 2.x, 3.x (3.x required for Hive 3.x)\n\n\nUpgrading from older versions of Hive\n=====================================\n\n- Hive includes changes to the MetaStore schema. If\n  you are upgrading from an earlier version of Hive it is imperative\n  that you upgrade the MetaStore schema by running the appropriate\n  schema upgrade scripts located in the scripts/metastore/upgrade\n  directory.\n\n- We have provided upgrade scripts for MySQL, PostgreSQL, Oracle,\n  Microsoft SQL Server, and Derby databases. If you are using a\n  different database for your MetaStore you will need to provide\n  your own upgrade script.\n\nUseful mailing lists\n====================\n\n1. user@hive.apache.org - To discuss and ask usage questions. Send an\n   empty email to user-subscribe@hive.apache.org in order to subscribe\n   to this mailing list.\n\n2. dev@hive.apache.org - For discussions about code, design and features.\n   Send an empty email to dev-subscribe@hive.apache.org in order to\n   subscribe to this mailing list.\n\n3. commits@hive.apache.org - In order to monitor commits to the source\n   repository. Send an empty email to commits-subscribe@hive.apache.org\n   in order to subscribe to this mailing list.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsuminb%2Fhive","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsuminb%2Fhive","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsuminb%2Fhive/lists"}