Struct ColumnProfile 

pub struct ColumnProfile {

    pub name: String,
    pub data_type: String,
    pub nulls: u64,
    pub null_rate: f64,
    pub count: usize,
    pub distinct: usize,
    pub min: Option<String>,
    pub max: Option<String>,
    pub mean: Option<f64>,
    pub median: Option<f64>,
    pub p25: Option<f64>,
    pub p75: Option<f64>,
    pub distribution: Distribution,
    pub present: Option<u64>,
    pub absent: Option<u64>,
    pub values: Option<u64>,
    pub types: Option<TypeCounts>,
    pub mixed: Option<bool>,
}

One column of a Profile.

Fields

name: String

The column name.

data_type: String

The inferred type’s name (integer, float, boolean, date, timestamp, text, or null when every sampled cell is null).

nulls: u64

Null cells, over every row.

null_rate: f64

nulls over the row count, 0.0 for no rows.

count: usize

Non-null cells in the sample.

distinct: usize

Distinct non-null values in the sample.

min: Option<String>

The smallest value in the sample (numerically for a number column).

max: Option<String>

The largest value in the sample.

mean: Option<f64>

The mean, for a number column.

median: Option<f64>

The median, for a number column.

p25: Option<f64>

The first quartile, for a number column.

p75: Option<f64>

The third quartile, for a number column.

distribution: Distribution

How the sampled values are spread.

present: Option<u64>

For a nested profile: the records that hold the path at least once.

absent: Option<u64>

For a nested profile: the records that do not hold the path (an explicit null is present, and counted in nulls).

values: Option<u64>

For a nested profile: the values seen at the path, nulls included (more than present inside arrays).

types: Option<TypeCounts>

For a nested profile: how many of those values were each JSON type.

mixed: Option<bool>

For a nested profile: whether the values were more than one JSON type besides null.

Implementations

impl ColumnProfile

pub fn absent_rate(&self, rows: u64) -> Option<f64>

absent over the row count, for a nested profile.

Trait Implementations

impl Clone for ColumnProfile

fn clone(&self) -> Self

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for ColumnProfile

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for ColumnProfile

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for ColumnProfile

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

Equality operator ==.

fn ne(&self, other: &Rhs) -> bool

Inequality operator !=.

impl Serialize for ColumnProfile

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl StructuralPartialEq for ColumnProfile