Configures and manages metastore services. Metastore services are
fully managed, highly available, autoscaled, autohealing, OSS-native
deployments of technical metadata management software. Each
metastore service exposes a network endpoint through which metadata
queries are served. Metadata queries can originate from a variety of
sources, including Apache Hive, Apache Presto, and Apache Spark.
The Dataproc Metastore API defines the following resource model:
The service works with a collection of Google Cloud projects,
named: /projects/*
Each project has a collection of available locations, named:
/locations/* (a location must refer to a Google Cloud
region)
Each location has a collection of services, named:
/services/*
Dataproc Metastore services are resources with names of the form:
Configures and manages metastore services. Metastore services are
fully managed, highly available, autoscaled, autohealing, OSS-native
deployments of technical metadata management software. Each
metastore service exposes a network endpoint through which metadata
queries are served. Metadata queries can originate from a variety of
sources, including Apache Hive, Apache Presto, and Apache Spark.
The Dataproc Metastore API defines the following resource model:
The service works with a collection of Google Cloud projects,
named: /projects/*
Each project has a collection of available locations, named:
/locations/* (a location must refer to a Google Cloud
region)
Each location has a collection of services, named:
/services/*
Dataproc Metastore services are resources with names of the form:
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-28 UTC."],[],[],null,["# Package dataproc_metastore (1.19.0)\n\nVersion latestkeyboard_arrow_down\n\n- [1.19.0 (latest)](/python/docs/reference/metastore/latest/google.cloud.metastore_v1.services.dataproc_metastore)\n- [1.18.3](/python/docs/reference/metastore/1.18.3/google.cloud.metastore_v1.services.dataproc_metastore)\n- [1.17.0](/python/docs/reference/metastore/1.17.0/google.cloud.metastore_v1.services.dataproc_metastore)\n- [1.16.1](/python/docs/reference/metastore/1.16.1/google.cloud.metastore_v1.services.dataproc_metastore)\n- [1.15.5](/python/docs/reference/metastore/1.15.5/google.cloud.metastore_v1.services.dataproc_metastore)\n- [1.14.0](/python/docs/reference/metastore/1.14.0/google.cloud.metastore_v1.services.dataproc_metastore)\n- [1.13.0](/python/docs/reference/metastore/1.13.0/google.cloud.metastore_v1.services.dataproc_metastore)\n- [1.12.0](/python/docs/reference/metastore/1.12.0/google.cloud.metastore_v1.services.dataproc_metastore)\n- [1.11.0](/python/docs/reference/metastore/1.11.0/google.cloud.metastore_v1.services.dataproc_metastore)\n- [1.10.1](/python/docs/reference/metastore/1.10.1/google.cloud.metastore_v1.services.dataproc_metastore)\n- [1.9.1](/python/docs/reference/metastore/1.9.1/google.cloud.metastore_v1.services.dataproc_metastore)\n- [1.8.0](/python/docs/reference/metastore/1.8.0/google.cloud.metastore_v1.services.dataproc_metastore)\n- [1.7.0](/python/docs/reference/metastore/1.7.0/google.cloud.metastore_v1.services.dataproc_metastore)\n- [1.6.3](/python/docs/reference/metastore/1.6.3/google.cloud.metastore_v1.services.dataproc_metastore)\n- [1.5.1](/python/docs/reference/metastore/1.5.1/google.cloud.metastore_v1.services.dataproc_metastore)\n- [1.4.1](/python/docs/reference/metastore/1.4.1/google.cloud.metastore_v1.services.dataproc_metastore)\n- [1.3.1](/python/docs/reference/metastore/1.3.1/google.cloud.metastore_v1.services.dataproc_metastore)\n- [1.2.0](/python/docs/reference/metastore/1.2.0/google.cloud.metastore_v1.services.dataproc_metastore)\n- [1.1.2](/python/docs/reference/metastore/1.1.2/google.cloud.metastore_v1.services.dataproc_metastore)\n- [1.0.0](/python/docs/reference/metastore/1.0.0/google.cloud.metastore_v1.services.dataproc_metastore)\n- [0.3.3](/python/docs/reference/metastore/0.3.3/google.cloud.metastore_v1.services.dataproc_metastore)\n- [0.2.2](/python/docs/reference/metastore/0.2.2/google.cloud.metastore_v1.services.dataproc_metastore)\n- [0.1.0](/python/docs/reference/metastore/0.1.0/google.cloud.metastore_v1.services.dataproc_metastore) \nAPI documentation for `metastore_v1.services.dataproc_metastore` package. \n\nClasses\n-------\n\n### [DataprocMetastoreAsyncClient](/python/docs/reference/metastore/latest/google.cloud.metastore_v1.services.dataproc_metastore.DataprocMetastoreAsyncClient)\n\nConfigures and manages metastore services. Metastore services are\nfully managed, highly available, autoscaled, autohealing, OSS-native\ndeployments of technical metadata management software. Each\nmetastore service exposes a network endpoint through which metadata\nqueries are served. Metadata queries can originate from a variety of\nsources, including Apache Hive, Apache Presto, and Apache Spark.\n\nThe Dataproc Metastore API defines the following resource model:\n\n- The service works with a collection of Google Cloud projects,\n named: `/projects/*`\n\n- Each project has a collection of available locations, named:\n `/locations/*` (a location must refer to a Google Cloud\n `region`)\n\n- Each location has a collection of services, named:\n `/services/*`\n\n- Dataproc Metastore services are resources with names of the form:\n\n `/projects/{project_number}/locations/{location_id}/services/{service_id}`.\n\n### [DataprocMetastoreClient](/python/docs/reference/metastore/latest/google.cloud.metastore_v1.services.dataproc_metastore.DataprocMetastoreClient)\n\nConfigures and manages metastore services. Metastore services are\nfully managed, highly available, autoscaled, autohealing, OSS-native\ndeployments of technical metadata management software. Each\nmetastore service exposes a network endpoint through which metadata\nqueries are served. Metadata queries can originate from a variety of\nsources, including Apache Hive, Apache Presto, and Apache Spark.\n\nThe Dataproc Metastore API defines the following resource model:\n\n- The service works with a collection of Google Cloud projects,\n named: `/projects/*`\n\n- Each project has a collection of available locations, named:\n `/locations/*` (a location must refer to a Google Cloud\n `region`)\n\n- Each location has a collection of services, named:\n `/services/*`\n\n- Dataproc Metastore services are resources with names of the form:\n\n `/projects/{project_number}/locations/{location_id}/services/{service_id}`.\n\nModules\n-------\n\n### [pagers](/python/docs/reference/metastore/latest/google.cloud.metastore_v1.services.dataproc_metastore.pagers)\n\nAPI documentation for `metastore_v1.services.dataproc_metastore.pagers` module."]]
