선택적 HBase 구성요소 설치는 이미지 버전 1.5 또는 2.0으로 생성된 Dataproc 클러스터로 제한됩니다.
Google Cloud 는 자체 관리형 Apache HBase를 배포할 수 있는 다양한 서비스를 제공하지만 Bigtable은 HBase 및 워크로드 이식성을 갖춘 개방형 API를 제공하므로 최적의 옵션이 되는 경우가 많습니다.
HBase 데이터베이스 테이블은 기본 데이터 관리를 위해 Bigtable로 마이그레이션될 수 있지만 Spark와 같이 이전에 HBase와 상호 작용한 애플리케이션은 Dataproc에 있어 Bigtable과 안전하게 연결될 수 있습니다.
이 가이드에서는 Bigtable를 시작하는 개략적인 단계와 데이터를 Dataproc HBase 배포에서 Bigtable로 마이그레이션하는 데 사용할 수 있는 참조를 제공합니다.
Bigtable 시작하기
Cloud Bigtable은 HBase 워크로드에 Apache HBase API 클라이언트 호환성과 이동성을 제공하는 확장성과 성능이 우수한 NoSQL 플랫폼입니다. 이 클라이언트는 HBase API 버전 1.x 및 2.x와 호환되며 Bigtable에서 읽기 및 쓰기를 위해 기존 애플리케이션에 포함될 수 있습니다. 기존 HBase 애플리케이션은 Bigtable HBase 클라이언트 라이브러리를 추가하여 Bigtable에 저장된 데이터를 읽고 쓸 수 있습니다.
이전에 HBase에 저장된 데이터를 저장할 클러스터와 테이블을 만들어 Bigtable을 사용할 수 있습니다. HBase 테이블과 동일한 스키마를 사용하여 인스턴스, 클러스터 및 테이블을 만들려면 Bigtable 문서의 단계를 따르세요. HBase 테이블 DDL에서 자동으로 테이블을 만드는 방법은 스키마 변환기 도구를 참조하세요.
Google Cloud 콘솔에서 Bigtable 인스턴스를 열어 초당 행, 지연 시간, 처리량 등 테이블 및 서버 측 모니터링 차트를 보고 새로 프로비저닝된 테이블을 관리합니다. 자세한 내용은 Monitoring을 참조하세요.
Dataproc에서 Bigtable로 데이터 마이그레이션
Bigtable에서 테이블을 만든 후 Google Cloud 의 HBase를 Bigtable로 마이그레이션의 안내에 따라 데이터를 가져오고 데이터를 검증할 수 있습니다.
데이터를 마이그레이션한 후 Bigtable에 읽기 및 쓰기를 전송하도록 애플리케이션을 업데이트할 수 있습니다.
[[["이해하기 쉬움","easyToUnderstand","thumb-up"],["문제가 해결됨","solvedMyProblem","thumb-up"],["기타","otherUp","thumb-up"]],[["이해하기 어려움","hardToUnderstand","thumb-down"],["잘못된 정보 또는 샘플 코드","incorrectInformationOrSampleCode","thumb-down"],["필요한 정보/샘플이 없음","missingTheInformationSamplesINeed","thumb-down"],["번역 문제","translationIssue","thumb-down"],["기타","otherDown","thumb-down"]],["최종 업데이트: 2025-08-27(UTC)"],[[["\u003cp\u003eThe HBase component is deprecated in Dataproc version 2.1 and later, and while a Beta version was available in versions 1.5 and 2.0, its use is not recommended due to the ephemeral nature of Dataproc clusters.\u003c/p\u003e\n"],["\u003cp\u003eBigtable is recommended as an alternative to HBase, offering an open API with HBase compatibility and workload portability, making it suitable for applications that previously used HBase.\u003c/p\u003e\n"],["\u003cp\u003eYou can migrate existing HBase applications and their data to Bigtable by using the Bigtable HBase client library and following the provided migration steps.\u003c/p\u003e\n"],["\u003cp\u003eGetting started with Bigtable involves creating a cluster and tables, which can be done manually or through automated tools like the schema translator for HBase DDLs.\u003c/p\u003e\n"],["\u003cp\u003eAfter migrating, you can use tools like server-side monitoring charts to manage the Bigtable tables and review examples of using Spark with Bigtable for continued application functionality.\u003c/p\u003e\n"]]],[],null,["| **Deprecated:** Starting with Dataproc [version 2.1](/dataproc/docs/concepts/versioning/dataproc-release-2.1), you can no longer use the optional HBase component. Dataproc [version 1.5](/dataproc/docs/concepts/versioning/dataproc-release-1.5) and Dataproc [version 2.0](/dataproc/docs/concepts/versioning/dataproc-release-2.0) offer a Beta version of HBase with no support. However, due to the ephemeral nature of Dataproc clusters, using HBase is not recommended.\n\nInstallation of the optional HBase component is limited to\nDataproc clusters created with image version\n[1.5](/dataproc/docs/concepts/versioning/dataproc-release-1.5) or\n[2.0](/dataproc/docs/concepts/versioning/dataproc-release-2.0).\n\nWhile Google Cloud provides many services that let you deploy self-managed Apache\nHBase, [Bigtable](/bigtable/docs/overview) is\noften the best option as it provides an open API with HBase and workload portability.\nHBase database tables can be migrated to Bigtable for management of the\nunderlying data, while applications that previously interoperated with HBase,\nsuch as Spark, may remain on Dataproc and securely connect with Bigtable.\nIn this guide, we provide the high-level steps for getting started with Bigtable\nand provide references for migrating data to Bigtable from Dataproc HBase\ndeployments.\n\nGet started with Bigtable\n\nCloud Bigtable is a highly scalable and performant NoSQL platform that provides\n[Apache HBase API client compatibility](https://cloud.google.com/bigtable/docs/hbase-bigtable)\nand portability for HBase workloads. The client is compatible with HBase API\nversions 1.x and 2.x and may be included with the existing application to read\nand write to Bigtable. Existing HBase applications may add the Bigtable HBase\nclient library to read and write data stored in Bigtable.\n\nSee\n[Bigtable and the HBase API](https://cloud.google.com/bigtable/docs/hbase-bigtable)\nfor more information on configuring your HBase application with Bigtable.\n\nCreate a Bigtable cluster\n\nYou can get started using Bigtable by creating a cluster and tables for\nstoring data that was previously stored in HBase. Follow the steps in the Bigtable documentation for\n[creating an instance](/bigtable/docs/creating-instance#creating-instance),\na cluster, and\n[tables](/bigtable/docs/managing-tables) with\nthe same schema as the HBase tables. For automated creation of tables from HBase\ntable DDLs, refer to the\n[schema translator tool](/bigtable/docs/migrate-hbase-on-google-cloud-to-bigtable#create-destination-table).\n\nOpen the Bigtable instance in Google Cloud console to view the table and\nserver-side monitoring charts, including rows per second, latency, and throughput, to manage\nthe newly provisioned table. For additional information, see\n[Monitoring](/bigtable/docs/monitoring-instance).\n\nMigrate data from Dataproc to Bigtable\n\nAfter you create the tables in Bigtable, you can import and validate\nyour data by following the guidance at\n[Migrate HBase on Google Cloud to Bigtable](/bigtable/docs/migrate-hbase-on-google-cloud-to-bigtable).\nAfter you migrate the data, you can update applications to send reads and writes\nto Bigtable.\n\nWhat's next\n\n- See [Wordcount Spark examples](https://github.com/GoogleCloudPlatform/java-docs-samples/tree/main/bigtable/spark) for running Spark with the Bigtable.\n- Review online migration options with [live replication from HBase to Bigtable](/bigtable/docs/hbase-replication).\n- Watch [How Box modernized their NoSQL databases](https://www.youtube.com/watch?v=DteQ09WFhaU) to understand other benefits."]]
