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You can copy data from Azure Files to any supported sink data store, or copy data from any supported source data store to Azure Files. For a list of data stores that Copy Activity supports as sources and sinks, see [Supported data stores and formats](copy-activity-overview.md#supported-data-stores-and-formats).
You can copy data from any supported source data store into search index. For a list of data stores that are supported as sources/sinks by the copy activity, see the [Supported data stores](copy-activity-overview.md#supported-data-stores-and-formats) table.
For Copy activity, this Azure SQL Database connector supports these functions:
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@@ -781,7 +781,7 @@ The below table lists the properties supported by Azure SQL Managed Instance sou
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| Table | If you select Table as input, data flow fetches all the data from the table specified in the dataset. | No | - |- |
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| Query | If you select Query as input, specify a SQL query to fetch data from source, which overrides any table you specify in dataset. Using queries is a great way to reduce rows for testing or lookups.<br><br>**Order By** clause is not supported, but you can set a full SELECTFROM statement. You can also use user-defined table functions. **select*from udfGetData()** is a UDF in SQL that returns a table that you can use in data flow.<br>Query example: `Select * from MyTable where customerId > 1000 and customerId < 2000`| No | String | query |
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| Batch size | Specify a batch size to chunk large data into reads. | No | Integer | batchSize |
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| Isolation Level | Choose one of the following isolation levels:<br>- Read Committed<br>- Read Uncommitted (default)<br>- Repeatable Read<br>- Serializable<br>- None (ignore isolation level) | No | <small>READ_COMMITTED<br/>READ_UNCOMMITTED<br/>REPEATABLE_READ<br/>SERIALIZABLE<br/>NONE</small> |isolationLevel |
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| Isolation Level | Choose one of the following isolation levels:<br>- Read Committed<br>- Read Uncommitted (default)<br>- Repeatable Read<br>- Serializable<br>- None (ignore isolation level) | No | READ_COMMITTED<br/>READ_UNCOMMITTED<br/>REPEATABLE_READ<br/>SERIALIZABLE<br/>NONE |isolationLevel |
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| Enable incremental extract | Use this option to tell ADF to only process rows that have changed since the last time that the pipeline executed. | No | - |- |
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| Incremental column | When using the incremental extract feature, you must choose the date/timeornumeric column that you wish to use as the watermark in your source table. | No | - |- |
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| Enable native change data capture(Preview) | Use this option to tell ADF to only process delta data captured by [SQL change data capture technology](/sql/relational-databases/track-changes/about-change-data-capture-sql-server) since the last time that the pipeline executed. With this option, the delta data including row insert, updateand deletion will be loaded automatically without any incremental column required. You need to [enable change data capture](/sql/relational-databases/track-changes/enable-and-disable-change-data-capture-sql-server) on Azure SQL MI before using this option in ADF. For more information about this option in ADF, see [native change data capture](#native-change-data-capture). | No | - |- |
You can copy data from any supported source data store to Table storage. You also can copy data from Table storage to any supported sink data store. For a list of data stores that are supported as sources or sinks by the copy activity, see the [Supported data stores](copy-activity-overview.md#supported-data-stores-and-formats) table.
For a list of data stores that are supported as sources/sinks by the copy activity, see the [Supported data stores](copy-activity-overview.md#supported-data-stores-and-formats) table.
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