Struct bookdata::goodreads::interaction::IntRecord

pub struct IntRecord {
    pub rec_id: u32,
    pub review_id: i64,
    pub user_id: i32,
    pub book_id: i32,
    pub is_read: u8,
    pub rating: Option<f32>,
    pub added: f32,
    pub updated: f32,
    pub read_started: Option<f32>,
    pub read_finished: Option<f32>,
}

GoodReads interaction records as actually written to the table.

This struct is written to gr-interactions.parquet and records actual interaction data. Timestamps are UNIX timestamps recorded as 64-bit integers; they do not use a Parquet timestamp time, due to out-of-range values causing problems when loaded into Python.

Fields

rec_id: u32

review_id: i64

The review ID.

This is derived from the hexadecimal review ID by interpreting the hexadecimal-encoded review ID from the source data as two big-endian i64s and XORing them. The import process checks that this does not result in duplicate review IDs, and emits warnings if any are encountered.

user_id: i32

book_id: i32

is_read: u8

rating: Option<f32>

added: f32

updated: f32

read_started: Option<f32>

read_finished: Option<f32>

Trait Implementations

impl FrameBuilder<IntRecord> for IntRecordFrameBuilder

fn with_capacity(cap: usize) -> Self

Instantiate a frame builder with a specified capacity.

fn append_row(&mut self, row: IntRecord)

Add a row to the frame builder.

fn build(self) -> PolarsResult<DataFrame>

Finish the builder and create a data frame.

fn extend<I>(&mut self, iter: I)

where I: IntoIterator<Item = R>,

Add an iterable of items to the frame.

impl<'a> FrameStruct<'a, IntRecord> for IntRecordFrame<'a>

fn new(df: &'a DataFrame) -> PolarsResult<Self>

fn read_row(&mut self, idx: usize) -> Result<IntRecord, RowError>

impl TableRow for IntRecord

type Frame<'a> = IntRecordFrame<'a>

The frame struct for this row type.

type Builder = IntRecordFrameBuilder

The frame builder type for this row type.

fn schema() -> Schema

Get the schema for this table row.