IcebergCompactionConfiguration

Struct IcebergCompactionConfiguration 

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#[non_exhaustive]
pub struct IcebergCompactionConfiguration { pub strategy: Option<CompactionStrategy>, pub min_input_files: Option<i32>, pub delete_file_threshold: Option<i32>, }
Expand description

The configuration for an Iceberg compaction optimizer. This configuration defines parameters for optimizing the layout of data files in Iceberg tables.

Fields (Non-exhaustive)§

This struct is marked as non-exhaustive
Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.
§strategy: Option<CompactionStrategy>

The strategy to use for compaction. Valid values are:

  • binpack: Combines small files into larger files, typically targeting sizes over 100MB, while applying any pending deletes. This is the recommended compaction strategy for most use cases.

  • sort: Organizes data based on specified columns which are sorted hierarchically during compaction, improving query performance for filtered operations. This strategy is recommended when your queries frequently filter on specific columns. To use this strategy, you must first define a sort order in your Iceberg table properties using the sort_order table property.

  • z-order: Optimizes data organization by blending multiple attributes into a single scalar value that can be used for sorting, allowing efficient querying across multiple dimensions. This strategy is recommended when you need to query data across multiple dimensions simultaneously. To use this strategy, you must first define a sort order in your Iceberg table properties using the sort_order table property.

If an input is not provided, the default value 'binpack' will be used.

§min_input_files: Option<i32>

The minimum number of data files that must be present in a partition before compaction will actually compact files. This parameter helps control when compaction is triggered, preventing unnecessary compaction operations on partitions with few files. If an input is not provided, the default value 100 will be used.

§delete_file_threshold: Option<i32>

The minimum number of deletes that must be present in a data file to make it eligible for compaction. This parameter helps optimize compaction by focusing on files that contain a significant number of delete operations, which can improve query performance by removing deleted records. If an input is not provided, the default value 1 will be used.

Implementations§

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impl IcebergCompactionConfiguration

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pub fn strategy(&self) -> Option<&CompactionStrategy>

The strategy to use for compaction. Valid values are:

  • binpack: Combines small files into larger files, typically targeting sizes over 100MB, while applying any pending deletes. This is the recommended compaction strategy for most use cases.

  • sort: Organizes data based on specified columns which are sorted hierarchically during compaction, improving query performance for filtered operations. This strategy is recommended when your queries frequently filter on specific columns. To use this strategy, you must first define a sort order in your Iceberg table properties using the sort_order table property.

  • z-order: Optimizes data organization by blending multiple attributes into a single scalar value that can be used for sorting, allowing efficient querying across multiple dimensions. This strategy is recommended when you need to query data across multiple dimensions simultaneously. To use this strategy, you must first define a sort order in your Iceberg table properties using the sort_order table property.

If an input is not provided, the default value 'binpack' will be used.

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pub fn min_input_files(&self) -> Option<i32>

The minimum number of data files that must be present in a partition before compaction will actually compact files. This parameter helps control when compaction is triggered, preventing unnecessary compaction operations on partitions with few files. If an input is not provided, the default value 100 will be used.

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pub fn delete_file_threshold(&self) -> Option<i32>

The minimum number of deletes that must be present in a data file to make it eligible for compaction. This parameter helps optimize compaction by focusing on files that contain a significant number of delete operations, which can improve query performance by removing deleted records. If an input is not provided, the default value 1 will be used.

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impl IcebergCompactionConfiguration

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pub fn builder() -> IcebergCompactionConfigurationBuilder

Creates a new builder-style object to manufacture IcebergCompactionConfiguration.

Trait Implementations§

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impl Clone for IcebergCompactionConfiguration

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fn clone(&self) -> IcebergCompactionConfiguration

Returns a duplicate of the value. Read more
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fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for IcebergCompactionConfiguration

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fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter. Read more
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impl PartialEq for IcebergCompactionConfiguration

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fn eq(&self, other: &IcebergCompactionConfiguration) -> bool

Tests for self and other values to be equal, and is used by ==.
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fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.
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impl StructuralPartialEq for IcebergCompactionConfiguration

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