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cbcfd9599f
Snapshots all four versioned Docusaurus sections at v6.1.0. Built on top of the version-cutting tooling work in chore/docs-cut-6.1.0-versions so the snapshot benefits from: - Auto-gen refresh before snapshotting (database pages from engine spec metadata, API reference from openapi.json, component pages from Storybook stories) — captured at the SHA we cut from rather than whatever happened to be on disk. - Data-import freeze: country list, feature flag table, database diagnostics, and component metadata are copied into snapshot-local `_versioned_data/` dirs so the historical version doesn't silently mutate when the source files change. - Depth-aware import-path rewriter that handles deeply-nested component MDX files referencing `../../../src/` from the snapshot. Versioning behavior: `lastVersion` stays at `current` for every section, so the canonical URLs (`/docs/...`, `/admin-docs/...`, `/developer-docs/...`, `/components/...`) continue to render content from master. The `current` version is consistently labeled "Next" with an `unreleased` banner, and `6.1.0` is a historical pin accessible only via its explicit version segment. Component playground: previously `disabled: true` in versions-config.json, now enabled and versioned. The plugin block in docusaurus.config.ts was already gated only by the `disabled` flag, so no other code changes were needed to bring it back online. The frozen `databases.json` in the snapshot is the canonical 80-database artifact from the latest committed state in master (preserved by the generator's input-hash cache), not a fallback regenerated from a local Flask environment.
32 lines
2.5 KiB
Plaintext
32 lines
2.5 KiB
Plaintext
---
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title: Apache Spark SQL
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sidebar_label: Apache Spark SQL
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description: "Apache Spark SQL is a module for structured data processing."
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hide_title: true
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---
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{/*
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Licensed to the Apache Software Foundation (ASF) under one
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or more contributor license agreements. See the NOTICE file
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distributed with this work for additional information
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regarding copyright ownership. The ASF licenses this file
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to you under the Apache License, Version 2.0 (the
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"License"); you may not use this file except in compliance
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with the License. You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing,
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software distributed under the License is distributed on an
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"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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KIND, either express or implied. See the License for the
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specific language governing permissions and limitations
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under the License.
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*/}
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import { DatabasePage } from '@site/src/components/databases';
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export const databaseInfo = {"engine":"apache_spark_sql","engine_name":"Apache Spark SQL","module":"spark","documentation":{"description":"Apache Spark SQL is a module for structured data processing.","logo":"apache-spark.png","homepage_url":"https://spark.apache.org/sql/","pypi_packages":["pyhive","pyhive","pyhive"],"install_instructions":"pip install \"apache-superset[presto]\"","connection_string":"hive://hive@{hostname}:{port}/{database}","default_port":10000,"parameters":{"hostname":"Presto coordinator hostname","port":"Presto coordinator port (default 8080)","database":"Catalog name"},"drivers":[{"name":"PyHive","pypi_package":"pyhive","connection_string":"presto://{hostname}:{port}/{database}","is_recommended":true}],"categories":["APACHE_PROJECTS","QUERY_ENGINES","OPEN_SOURCE"]},"time_grains":{"SECOND":true,"FIVE_SECONDS":false,"THIRTY_SECONDS":false,"MINUTE":true,"FIVE_MINUTES":false,"TEN_MINUTES":false,"FIFTEEN_MINUTES":false,"THIRTY_MINUTES":false,"HALF_HOUR":false,"HOUR":true,"SIX_HOURS":false,"DAY":true,"WEEK":true,"WEEK_STARTING_SUNDAY":true,"WEEK_STARTING_MONDAY":false,"WEEK_ENDING_SATURDAY":true,"WEEK_ENDING_SUNDAY":false,"MONTH":true,"QUARTER":true,"QUARTER_YEAR":false,"YEAR":true},"score":140,"max_score":201,"joins":true,"subqueries":true,"supports_dynamic_schema":true,"supports_catalog":true,"supports_dynamic_catalog":true,"ssh_tunneling":true,"supports_file_upload":true,"query_cancelation":true,"query_cost_estimation":true,"sql_validation":false,"user_impersonation":true};
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<DatabasePage name="Apache Spark SQL" database={databaseInfo} />
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