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Merge pull request #286612 from Clare-Zheng82/0912-Add_Iceberg_format_doc
[New feature] ADF - Add Iceberg format doc
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articles/data-factory/TOC.yml

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displayName: timeout
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- name: HubSpot
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href: connector-hubspot.md
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- name: Iceberg format
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href: format-iceberg.md
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- name: Impala
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href: connector-impala.md
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- name: Informix

articles/data-factory/connector-azure-data-lake-storage.md

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ms.subservice: data-movement
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ms.topic: conceptual
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ms.custom: synapse
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ms.date: 01/05/2024
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ms.date: 09/12/2024
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---
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# Copy and transform data in Azure Data Lake Storage Gen2 using Azure Data Factory or Azure Synapse Analytics
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For a full list of sections and properties available for defining datasets, see [Datasets](concepts-datasets-linked-services.md).
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[!INCLUDE [data-factory-v2-file-formats](includes/data-factory-v2-file-formats.md)]
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Azure Data Factory supports the following file formats. Refer to each article for format-based settings.
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- [Avro format](format-avro.md)
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- [Binary format](format-binary.md)
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- [Delimited text format](format-delimited-text.md)
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- [Excel format](format-excel.md)
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- [Iceberg format](format-iceberg.md)
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- [JSON format](format-json.md)
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- [ORC format](format-orc.md)
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- [Parquet format](format-parquet.md)
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- [XML format](format-xml.md)
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The following properties are supported for Data Lake Storage Gen2 under `location` settings in the format-based dataset:
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### Azure Data Lake Storage Gen2 as a sink type
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[!INCLUDE [data-factory-v2-file-sink-formats](includes/data-factory-v2-file-sink-formats.md)]
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Azure Data Factory supports the following file formats. Refer to each article for format-based settings.
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- [Avro format](format-avro.md)
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- [Binary format](format-binary.md)
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- [Delimited text format](format-delimited-text.md)
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- [Iceberg format](format-iceberg.md)
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- [JSON format](format-json.md)
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- [ORC format](format-orc.md)
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- [Parquet format](format-parquet.md)
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The following properties are supported for Data Lake Storage Gen2 under `storeSettings` settings in format-based copy sink:
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### Sink properties
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In the sink transformation, you can write to either a container or folder in Azure Data Lake Storage Gen2. the **Settings** tab lets you manage how the files get written.
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In the sink transformation, you can write to either a container or folder in Azure Data Lake Storage Gen2. The **Settings** tab lets you manage how the files get written.
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:::image type="content" source="media/data-flow/file-sink-settings.png" alt-text="sink options":::
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articles/data-factory/connector-overview.md

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ms.subservice: data-movement
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ms.custom: synapse
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ms.topic: conceptual
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ms.date: 01/09/2024
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ms.date: 11/05/2024
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ms.author: jianleishen
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- [Delimited text format](format-delimited-text.md)
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- [Delta format](format-delta.md)
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- [Excel format](format-excel.md)
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- [Iceberg format](format-iceberg.md)
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- [JSON format](format-json.md)
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- [ORC format](format-orc.md)
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- [Parquet format](format-parquet.md)

articles/data-factory/copy-activity-overview.md

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### Supported file formats
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[!INCLUDE [data-factory-v2-file-formats](includes/data-factory-v2-file-formats.md)]
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Azure Data Factory supports the following file formats. Refer to each article for format-based settings.
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- [Avro format](format-avro.md)
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- [Binary format](format-binary.md)
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- [Delimited text format](format-delimited-text.md)
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- [Excel format](format-excel.md)
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- [Iceberg format](format-iceberg.md) (only for Azure Data Lake Storage Gen2)
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- [JSON format](format-json.md)
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- [ORC format](format-orc.md)
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- [Parquet format](format-parquet.md)
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- [XML format](format-xml.md)
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You can use the Copy activity to copy files as-is between two file-based data stores, in which case the data is copied efficiently without any serialization or deserialization. In addition, you can also parse or generate files of a given format, for example, you can perform the following:
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---
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title: Iceberg format in Azure Data Factory
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titleSuffix: Azure Data Factory & Azure Synapse
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description: This topic describes how to deal with Iceberg format in Azure Data Factory and Azure Synapse Analytics.
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author: jianleishen
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ms.subservice: data-movement
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ms.custom: synapse
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ms.topic: conceptual
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ms.date: 09/12/2024
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ms.author: jianleishen
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---
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# Iceberg format in Azure Data Factory and Azure Synapse Analytics
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[!INCLUDE[appliesto-adf-asa-md](includes/appliesto-adf-asa-md.md)]
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Follow this article when you want to **write the data into Iceberg format**.
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Iceberg format is supported for the following connectors:
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- [Azure Data Lake Storage Gen2](connector-azure-data-lake-storage.md)
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You can use Iceberg dataset in [Copy activity](copy-activity-overview.md).
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## Dataset properties
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For a full list of sections and properties available for defining datasets, see the [Datasets](concepts-datasets-linked-services.md) article. This section provides a list of properties supported by the Iceberg format dataset.
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| Property | Description | Required |
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| ---------------- | ------------------------------------------------------------ | -------- |
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| type | The type property of the dataset must be set to **Iceberg**. | Yes |
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| location | Location settings of the file(s). Each file-based connector has its own location type and supported properties under `location`. | Yes |
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Below is an example of Iceberg dataset on Azure Data Lake Storage Gen2:
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```json
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{
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"name": "IcebergDataset",
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"properties": {
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"type": "Iceberg",
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"linkedServiceName": {
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"referenceName": "<Azure Data Lake Storage Gen2 linked service name>",
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"type": "LinkedServiceReference"
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},
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"schema": [ < physical schema, optional, auto retrieved during authoring >
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],
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"typeProperties": {
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"location": {
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"type": "AzureBlobFSLocation",
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"fileSystem": "filesystemname",
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"folderPath": "folder/subfolder",
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}
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}
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}
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}
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```
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## Copy activity properties
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For a full list of sections and properties available for defining activities, see the [Pipelines](concepts-pipelines-activities.md) article. This section provides a list of properties supported by the Iceberg sink.
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### Iceberg as sink
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The following properties are supported in the copy activity ***\*sink\**** section.
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| Property | Description | Required |
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| -------------- | ------------------------------------------------------------ | -------- |
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| type | The type property of the copy activity source must be set to **IcebergSink**. | Yes |
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| formatSettings | A group of properties. Refer to **Iceberg write settings** table below. | No |
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| storeSettings | A group of properties on how to write data to a data store. Each file-based connector has its own supported write settings under `storeSettings`. | No |
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Supported **Iceberg write settings** under `formatSettings`:
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| Property | Description | Required |
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| ------------- | ------------------------------------------------------------ | ----------------------------------------------------- |
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| type | The type of formatSettings must be set to **IcebergWriteSettings**. | Yes |
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## Related connectors and formats
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Here are some common connectors and formats related to the delimited text format:
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- [Azure Data Lake Storage Gen2](connector-azure-data-lake-storage.md)
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- [Binary format](format-binary.md)
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- [Delta format](format-delta.md)
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- [Excel format](format-excel.md)
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- [JSON format](format-json.md)
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- [Parquet format](format-parquet.md)
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## Related content
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- [Data type mapping in dataset schemas](copy-activity-schema-and-type-mapping.md#data-type-mapping)
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- [Copy activity overview](copy-activity-overview.md)

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