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updated datatype filenames
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‎docs/en/guides/51-access-data-lake/01-hive.md‎

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@@ -13,19 +13,19 @@ This table maps data types between Apache Hive and Databend. Please note that Da
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| Apache Hive | Databend |
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| ------------------- | -------------------- |
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| BOOLEAN | [BOOLEAN](/sql/sql-reference/data-types/data-type-logical-types) |
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| TINYINT | [TINYINT (INT8)](/sql/sql-reference/data-types/data-type-numeric-types#integer-data-types) |
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| SMALLINT | [SMALLINT (INT16)](/sql/sql-reference/data-types/data-type-numeric-types#integer-data-types) |
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| INT | [INT (INT32)](/sql/sql-reference/data-types/data-type-numeric-types#integer-data-types) |
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| BIGINT | [BIGINT (INT64)](/sql/sql-reference/data-types/data-type-numeric-types#integer-data-types) |
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| DATE | [DATE](/sql/sql-reference/data-types/data-type-time-date-types) |
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| TIMESTAMP | [TIMESTAMP](/sql/sql-reference/data-types/data-type-time-date-types) |
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| FLOAT | [FLOAT (FLOAT32)](/sql/sql-reference/data-types/data-type-numeric-types#floating-point-data-types) |
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| DOUBLE | [DOUBLE (FLOAT64)](/sql/sql-reference/data-types/data-type-numeric-types#floating-point-data-types) |
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| VARCHAR | [VARCHAR (STRING)](/sql/sql-reference/data-types/data-type-string-types) |
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| DECIMAL | [DECIMAL](/sql/sql-reference/data-types/data-type-decimal-types) |
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| ARRAY<TYPE> | [ARRAY](/sql/sql-reference/data-types/data-type-array-types), supports nesting |
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| MAP<KEYTYPE, VALUETYPE> | [MAP](/sql/sql-reference/data-types/data-type-map) |
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| BOOLEAN | [BOOLEAN](/sql/sql-reference/data-types/boolean) |
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| TINYINT | [TINYINT (INT8)](/sql/sql-reference/data-types/numeric#integer-data-types) |
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| SMALLINT | [SMALLINT (INT16)](/sql/sql-reference/data-types/numeric#integer-data-types) |
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| INT | [INT (INT32)](/sql/sql-reference/data-types/numeric#integer-data-types) |
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| BIGINT | [BIGINT (INT64)](/sql/sql-reference/data-types/numeric#integer-data-types) |
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| DATE | [DATE](/sql/sql-reference/data-types/datetime) |
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| TIMESTAMP | [TIMESTAMP](/sql/sql-reference/data-types/datetime) |
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| FLOAT | [FLOAT (FLOAT32)](/sql/sql-reference/data-types/numeric#floating-point-data-types) |
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| DOUBLE | [DOUBLE (FLOAT64)](/sql/sql-reference/data-types/numeric#floating-point-data-types) |
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| VARCHAR | [VARCHAR (STRING)](/sql/sql-reference/data-types/string) |
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| DECIMAL | [DECIMAL](/sql/sql-reference/data-types/decimal) |
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| ARRAY<TYPE> | [ARRAY](/sql/sql-reference/data-types/array), supports nesting |
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| MAP<KEYTYPE, VALUETYPE> | [MAP](/sql/sql-reference/data-types/map) |
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## Managing Catalogs
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‎docs/en/guides/51-access-data-lake/02-iceberg/iceberg-catalog.md‎

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| Apache Iceberg | Databend |
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| ------------------------------- | ----------------------- |
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| BOOLEAN | [BOOLEAN](/sql/sql-reference/data-types/data-type-logical-types) |
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| INT | [INT32](/sql/sql-reference/data-types/data-type-numeric-types#integer-data-types) |
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| LONG | [INT64](/sql/sql-reference/data-types/data-type-numeric-types#integer-data-types) |
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| DATE | [DATE](/sql/sql-reference/data-types/data-type-time-date-types) |
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| TIMESTAMP/TIMESTAMPZ | [TIMESTAMP](/sql/sql-reference/data-types/data-type-time-date-types) |
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| FLOAT | [FLOAT](/sql/sql-reference/data-types/data-type-numeric-types#floating-point-data-types) |
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| DOUBLE | [DOUBLE](/sql/sql-reference/data-types/data-type-numeric-types#floating-point-data-type) |
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| STRING/BINARY | [STRING](/sql/sql-reference/data-types/data-type-string-types) |
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| DECIMAL | [DECIMAL](/sql/sql-reference/data-types/data-type-decimal-types) |
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| ARRAY<TYPE> | [ARRAY](/sql/sql-reference/data-types/data-type-array-types), supports nesting |
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| MAP<KEYTYPE, VALUETYPE> | [MAP](/sql/sql-reference/data-types/data-type-map) |
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| STRUCT<COL1: TYPE1, COL2: TYPE2, ...> | [TUPLE](/sql/sql-reference/data-types/data-type-tuple-types) |
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| LIST | [ARRAY](/sql/sql-reference/data-types/data-type-array-types) |
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| BOOLEAN | [BOOLEAN](/sql/sql-reference/data-types/boolean) |
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| INT | [INT32](/sql/sql-reference/data-types/numeric#integer-data-types) |
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| LONG | [INT64](/sql/sql-reference/data-types/numeric#integer-data-types) |
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| DATE | [DATE](/sql/sql-reference/data-types/datetime) |
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| TIMESTAMP/TIMESTAMPZ | [TIMESTAMP](/sql/sql-reference/data-types/datetime) |
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| FLOAT | [FLOAT](/sql/sql-reference/data-types/numeric#floating-point-data-types) |
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| DOUBLE | [DOUBLE](/sql/sql-reference/data-types/numeric#floating-point-data-type) |
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| STRING/BINARY | [STRING](/sql/sql-reference/data-types/string) |
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| DECIMAL | [DECIMAL](/sql/sql-reference/data-types/decimal) |
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| ARRAY<TYPE> | [ARRAY](/sql/sql-reference/data-types/array), supports nesting |
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| MAP<KEYTYPE, VALUETYPE> | [MAP](/sql/sql-reference/data-types/map) |
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| STRUCT<COL1: TYPE1, COL2: TYPE2, ...> | [TUPLE](/sql/sql-reference/data-types/tuple) |
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| LIST | [ARRAY](/sql/sql-reference/data-types/array) |
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## Managing Catalogs
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‎docs/en/guides/51-access-data-lake/02-iceberg/iceberg-engine.md‎

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| Apache Iceberg | Databend |
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| ------------------------------- | ----------------------- |
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| BOOLEAN | [BOOLEAN](/sql/sql-reference/data-types/data-type-logical-types) |
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| INT | [INT32](/sql/sql-reference/data-types/data-type-numeric-types#integer-data-types) |
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| LONG | [INT64](/sql/sql-reference/data-types/data-type-numeric-types#integer-data-types) |
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| DATE | [DATE](/sql/sql-reference/data-types/data-type-time-date-types) |
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| TIMESTAMP/TIMESTAMPZ | [TIMESTAMP](/sql/sql-reference/data-types/data-type-time-date-types) |
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| FLOAT | [FLOAT](/sql/sql-reference/data-types/data-type-numeric-types#floating-point-data-types) |
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| DOUBLE | [DOUBLE](/sql/sql-reference/data-types/data-type-numeric-types#floating-point-data-type) |
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| STRING/BINARY | [STRING](/sql/sql-reference/data-types/data-type-string-types) |
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| DECIMAL | [DECIMAL](/sql/sql-reference/data-types/data-type-decimal-types) |
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| ARRAY<TYPE> | [ARRAY](/sql/sql-reference/data-types/data-type-array-types), supports nesting |
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| MAP<KEYTYPE, VALUETYPE> | [MAP](/sql/sql-reference/data-types/data-type-map) |
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| STRUCT<COL1: TYPE1, COL2: TYPE2, ...> | [TUPLE](/sql/sql-reference/data-types/data-type-tuple-types) |
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| LIST | [ARRAY](/sql/sql-reference/data-types/data-type-array-types) |
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| BOOLEAN | [BOOLEAN](/sql/sql-reference/data-types/boolean) |
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| INT | [INT32](/sql/sql-reference/data-types/numeric#integer-data-types) |
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| LONG | [INT64](/sql/sql-reference/data-types/numeric#integer-data-types) |
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| DATE | [DATE](/sql/sql-reference/data-types/datetime) |
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| TIMESTAMP/TIMESTAMPZ | [TIMESTAMP](/sql/sql-reference/data-types/datetime) |
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| FLOAT | [FLOAT](/sql/sql-reference/data-types/numeric#floating-point-data-types) |
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| DOUBLE | [DOUBLE](/sql/sql-reference/data-types/numeric#floating-point-data-type) |
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| STRING/BINARY | [STRING](/sql/sql-reference/data-types/string) |
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| DECIMAL | [DECIMAL](/sql/sql-reference/data-types/decimal) |
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| ARRAY<TYPE> | [ARRAY](/sql/sql-reference/data-types/array), supports nesting |
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| MAP<KEYTYPE, VALUETYPE> | [MAP](/sql/sql-reference/data-types/map) |
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| STRUCT<COL1: TYPE1, COL2: TYPE2, ...> | [TUPLE](/sql/sql-reference/data-types/tuple) |
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| LIST | [ARRAY](/sql/sql-reference/data-types/array) |
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## Syntax
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‎docs/en/guides/55-performance/01-virtual-column.md‎

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<EEFeature featureName='VIRTUAL COLUMN'/>
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A virtual column is a construct formed by extracting nested fields within [Variant](/sql/sql-reference/data-types/data-type-variant) data and storing that data in separate storage files. Consider using virtual columns when you regularly query specific nested fields within Variant data to realize the following benefits:
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A virtual column is a construct formed by extracting nested fields within [Variant](/sql/sql-reference/data-types/variant) data and storing that data in separate storage files. Consider using virtual columns when you regularly query specific nested fields within Variant data to realize the following benefits:
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- **Accelerated Query Processing**: Virtual columns streamline the querying process by eliminating the need to traverse the entire nested structure to locate the desired data. Direct data retrieval from virtual columns parallels the process of accessing regular columns, resulting in a significant acceleration of query execution.
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‎docs/en/release-notes/94-v1.2.0.md‎

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## New Features and Enhancements
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- [New Data Type: `BITMAP`](/sql/sql-reference/data-types/data-type-bitmap)
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- [New Data Type: `BITMAP`](/sql/sql-reference/data-types/bitmap)
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- [Direct Query of CSV/TSV/NDJSON Files Using Column Position](/sql/sql-commands/query-syntax/query-select#column-position)
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- [New Hash Table: Improved Hash Join Performance](https://github.com/databendlabs/databend/pull/11140)
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- [AI Functions](/sql/sql-functions/ai-functions/)

docs/en/sql-reference/00-sql-reference/10-data-types/40-data-type-array-types.md renamed to docs/en/sql-reference/00-sql-reference/10-data-types/array.md

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