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improve: change table engines -> tables, focus on Production-Ready tables (#1991)
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‎docs/cn/release-notes/databend.md

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import StepsWrap from '@site/src/components/StepsWrap';
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import StepContent from '@site/src/components/Steps/step-content';
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本页提供有关 <a href="https://github.com/datafuselabs/databend">Databend</a> 的最新功能、增强功能和错误修复的信息。
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This page provides information about recent features, enhancements, and bug fixes for <a href="https://github.com/datafuselabs/databend">Databend</a>.
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<StepContent outLink="https://github.com/datafuselabs/databend/releases/tag/v1.2.725" number="-1">
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## 2025年4月21日 (v1.2.725)
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## Apr 21, 2025 (v1.2.725)
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<StepContent outLink="https://github.com/datafuselabs/databend/releases/tag/v1.2.697" number="">
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## 2025年2月14日 (v1.2.697)
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## Feb 14, 2025 (v1.2.697)
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<StepContent outLink="https://github.com/datafuselabs/databend/releases/tag/v1.2.680" number="">
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## 2025年1月2日 (v1.2.680)
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## Jan 2, 2025 (v1.2.680)
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<StepContent outLink="https://github.com/datafuselabs/databend/releases/tag/v1.2.615" number="">
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## 2024年8月19日 (v1.2.615)
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## Aug 19, 2024 (v1.2.615)
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</StepContent>
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<StepContent outLink="https://github.com/datafuselabs/databend/releases/tag/v1.2.609" number="">
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## 2024年8月13日 (v1.2.609)
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## Aug 13, 2024 (v1.2.609)
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<StepContent outLink="https://github.com/datafuselabs/databend/releases/tag/v1.2.530" number="">
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## 2024年6月16日 (v1.2.530)
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## Jun 16, 2024 (v1.2.530)
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<StepContent outLink="https://github.com/datafuselabs/databend/releases/tag/v1.2.452" number="">
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## 2024年5月6日 (v1.2.452)
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## May 6, 2024 (v1.2.452)
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<StepContent outLink="https://github.com/datafuselabs/databend/releases/tag/v1.2.410" number="">
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## 2024年4月8日 (v1.2.410)
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## Apr 8, 2024 (v1.2.410)
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## 2024年3月11日 (v1.2.371)
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## Mar 11, 2024 (v1.2.371)
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## 2024年2月22日 (v1.2.344)
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## Feb 22, 2024 (v1.2.344)
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<StepContent outLink="https://github.com/datafuselabs/databend/releases/tag/v1.2.307" number="">
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## 2024年1月25日 (v1.2.307)
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## Jan 25, 2024 (v1.2.307)
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## 2024年1月11日 (v1.2.292)
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## Jan 11, 2024 (v1.2.292)
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## 2024年1月10日 (v1.2.290)
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## Jan 10, 2024 (v1.2.290)
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## 2024年1月2日 (v1.2.279)
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## Jan 2, 2024 (v1.2.279)
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<StepContent outLink="https://github.com/datafuselabs/databend/releases/tag/v1.2.275" number="">
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## 2023年12月30日 (v1.2.275)
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## Dec 30, 2023 (v1.2.275)
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## 2023年12月20日 (v1.2.262)
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## Dec 20, 2023 (v1.2.262)
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## 2023年12月13日 (v1.2.233)
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## Dec 13, 2023 (v1.2.233)
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</StepsWrap>
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</StepsWrap>

‎docs/cn/sql-reference/10-sql-commands/00-ddl/01-table/10-ddl-create-temp-table.md

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- 要显示会话中现有的临时表，请查询 [system.temporary_tables](../../../00-sql-reference/20-system-tables/system-temp-tables.md) 系统表。请参见 [Example-1](#example-1)。
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- 与普通表同名的临时表优先，在删除之前会隐藏普通表。请参见 [Example-2](#example-2)。
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- 创建或操作临时表不需要任何权限。
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- Databend 支持使用 [Fuse Engine](../../../00-sql-reference/30-table-engines/00-fuse.md) 和 [Memory Engine](../../../00-sql-reference/30-table-engines/01-memory.md) 创建临时表。
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- Databend 支持使用 [Fuse Engine](../../../00-sql-reference/30-table-engines/00-fuse.md) 创建临时表。
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- 要使用 BendSQL 创建临时表，请确保您使用的是最新版本的 BendSQL。
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## 语法

‎docs/en/guides/51-access-data-lake/02-iceberg.md

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title: Apache Iceberg
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title: Apache Iceberg™
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Databend supports the integration of an [Apache Iceberg](https://iceberg.apache.org/) catalog, enhancing its compatibility and versatility for data management and analytics. This extends Databend's capabilities by seamlessly incorporating the powerful metadata and storage management capabilities of Apache Iceberg into the platform.
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Databend supports the integration of an [Apache Iceberg™](https://iceberg.apache.org/) catalog, enhancing its compatibility and versatility for data management and analytics. This extends Databend's capabilities by seamlessly incorporating the powerful metadata and storage management capabilities of Apache Iceberg™ into the platform.
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## Quick Start with Apache Iceberg
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## Quick Start with Iceberg
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If you want to quickly try out Apache Iceberg and experiment with table operations locally, a [Docker-based starter project](https://github.com/databendlabs/iceberg-quick-start) is available. This setup allows you to:
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If you want to quickly try out Iceberg and experiment with table operations locally, a [Docker-based starter project](https://github.com/databendlabs/iceberg-quick-start) is available. This setup allows you to:
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## Datatype Mapping
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This table maps data types between Apache Iceberg and Databend. Please note that Databend does not currently support Iceberg data types that are not listed in the table.
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This table maps data types between Apache Iceberg™ and Databend. Please note that Databend does not currently support Iceberg data types that are not listed in the table.
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| Apache Iceberg | Databend |
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| Apache Iceberg™ | Databend |
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| ------------------------------- | ----------------------- |
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| BOOLEAN | [BOOLEAN](/sql/sql-reference/data-types/boolean) |
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| Parameter | Required? | Description |
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| `<catalog_name>` | Yes | The name of the catalog you want to create. |
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| `TYPE` | Yes | Specifies the catalog type. For Iceberg, set to `ICEBERG`. |
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| `TYPE` | Yes | Specifies the catalog type. For Apache Iceberg™, set to `ICEBERG`. |
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| `CONNECTION` | Yes | The connection parameters for the Iceberg catalog. |
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| `TYPE` (inside `CONNECTION`) | Yes | The connection type. For Iceberg, it is typically set to `rest` for REST-based connection. |
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| `ADDRESS` | Yes | The address or URL of the Iceberg service (e.g., `http://127.0.0.1:8181`). |
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In addition to metadata caching, Databend also supports table data caching for Iceberg catalog tables, similar to Fuse tables. For more information on data caching, refer to the `[cache] Section` in the [Query Configurations](../10-deploy/04-references/02-node-config/02-query-config.md) reference.
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## Apache Iceberg™ Table Functions
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Databend provides the following table functions for querying Iceberg metadata, allowing users to inspect snapshots and manifests efficiently:
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