Struct parquet_format_async_temp::ColumnMetaData[][src]

pub struct ColumnMetaData {
Show 14 fields pub type_: Type, pub encodings: Vec<Encoding>, pub path_in_schema: Vec<String>, pub codec: CompressionCodec, pub num_values: i64, pub total_uncompressed_size: i64, pub total_compressed_size: i64, pub key_value_metadata: Option<Vec<KeyValue>>, pub data_page_offset: i64, pub index_page_offset: Option<i64>, pub dictionary_page_offset: Option<i64>, pub statistics: Option<Statistics>, pub encoding_stats: Option<Vec<PageEncodingStats>>, pub bloom_filter_offset: Option<i64>,
}
Expand description

Description for column metadata

Fields

type_: Type

Type of this column *

encodings: Vec<Encoding>

Set of all encodings used for this column. The purpose is to validate whether we can decode those pages. *

path_in_schema: Vec<String>

Path in schema *

codec: CompressionCodec

Compression codec *

num_values: i64

Number of values in this column *

total_uncompressed_size: i64

total byte size of all uncompressed pages in this column chunk (including the headers) *

total_compressed_size: i64

total byte size of all compressed, and potentially encrypted, pages in this column chunk (including the headers) *

key_value_metadata: Option<Vec<KeyValue>>

Optional key/value metadata *

data_page_offset: i64

Byte offset from beginning of file to first data page *

index_page_offset: Option<i64>

Byte offset from beginning of file to root index page *

dictionary_page_offset: Option<i64>

Byte offset from the beginning of file to first (only) dictionary page *

statistics: Option<Statistics>

optional statistics for this column chunk

encoding_stats: Option<Vec<PageEncodingStats>>

Set of all encodings used for pages in this column chunk. This information can be used to determine if all data pages are dictionary encoded for example *

bloom_filter_offset: Option<i64>

Byte offset from beginning of file to Bloom filter data. *

Implementations

Trait Implementations

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