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|`native_comet`| This implementation provides strong compatibility with Spark but does not support complex types. This is the original scan implementation in Comet and may eventually be removed. |
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|`native_iceberg_compat`| This implementation delegates to DataFusion's `DataSourceExec` but uses a hybrid approach of JVM and native code. This scan is designed to be integrated with Iceberg in the future. |
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|`native_datafusion`| This experimental implementation delegates to DataFusion's `DataSourceExec` for full native execution. There are known compatibility issues when using this scan. |
|`native_comet`|**Deprecated.**This implementation provides strong compatibility with Spark but does not support complex types. This is the original scan implementation in Comet and will be removed in a future release.|
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|`native_iceberg_compat`| This implementation delegates to DataFusion's `DataSourceExec` but uses a hybrid approach of JVM and native code. This scan is designed to be integrated with Iceberg in the future. |
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|`native_datafusion`| This experimental implementation delegates to DataFusion's `DataSourceExec` for full native execution. There are known compatibility issues when using this scan. |
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The `native_datafusion` and `native_iceberg_compat` scans provide the following benefits over the `native_comet`
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implementation:
@@ -71,7 +71,9 @@ The `native_datafusion` scan has some additional limitations:
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There are some differences in S3 support between the scan implementations.
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### `native_comet`
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### `native_comet` (Deprecated)
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> **Note:** The `native_comet` scan implementation is deprecated and will be removed in a future release.
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The `native_comet` Parquet scan implementation reads data from S3 using the [Hadoop-AWS module](https://hadoop.apache.org/docs/stable/hadoop-aws/tools/hadoop-aws/index.html), which
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is identical to the approach commonly used with vanilla Spark. AWS credential configuration and other Hadoop S3A
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